Overview

Brought to you by YData

Dataset statistics

Number of variables	52
Number of observations	1000098
Missing cells	5067648
Missing cells (%)	9.7%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	390.1 MiB
Average record size in memory	409.0 B

Variable types

Numeric	14
Categorical	27
Boolean	7
Text	1
DateTime	1
Unsupported	2

Alerts

`Language` has constant value "English"	Constant
`Country` has constant value "South Africa"	Constant
`ItemType` has constant value "Mobility - Motor"	Constant
`CrossBorder` has constant value "False"	Constant
`StatutoryClass` has constant value "Commercial"	Constant
`StatutoryRiskType` has constant value "IFRS Constant"	Constant
`AccountType` is highly overall correlated with `Converted` and 2 other fields	High correlation
`Bank` is highly overall correlated with `Converted` and 2 other fields	High correlation
`CalculatedPremiumPerTerm` is highly overall correlated with `Converted` and 5 other fields	High correlation
`Converted` is highly overall correlated with `AccountType` and 6 other fields	High correlation
`CoverCategory` is highly overall correlated with `CoverGroup` and 6 other fields	High correlation
`CoverGroup` is highly overall correlated with `CoverCategory` and 5 other fields	High correlation
`CoverType` is highly overall correlated with `CoverCategory` and 6 other fields	High correlation
`CustomValueEstimate` is highly overall correlated with `Converted` and 3 other fields	High correlation
`Cylinders` is highly overall correlated with `make`	High correlation
`ExcessSelected` is highly overall correlated with `CoverCategory` and 1 other fields	High correlation
`MainCrestaZone` is highly overall correlated with `PostalCode` and 2 other fields	High correlation
`NumberOfDoors` is highly overall correlated with `bodytype` and 1 other fields	High correlation
`PolicyID` is highly overall correlated with `UnderwrittenCoverID`	High correlation
`PostalCode` is highly overall correlated with `MainCrestaZone` and 2 other fields	High correlation
`Product` is highly overall correlated with `CoverCategory` and 5 other fields	High correlation
`Province` is highly overall correlated with `MainCrestaZone` and 2 other fields	High correlation
`Rebuilt` is highly overall correlated with `AccountType` and 6 other fields	High correlation
`RegistrationYear` is highly overall correlated with `CustomValueEstimate`	High correlation
`Section` is highly overall correlated with `CoverCategory` and 4 other fields	High correlation
`SubCrestaZone` is highly overall correlated with `MainCrestaZone` and 2 other fields	High correlation
`SumInsured` is highly overall correlated with `CoverCategory` and 2 other fields	High correlation
`TermFrequency` is highly overall correlated with `CoverCategory` and 4 other fields	High correlation
`TotalPremium` is highly overall correlated with `Converted` and 5 other fields	High correlation
`UnderwrittenCoverID` is highly overall correlated with `PolicyID`	High correlation
`VehicleType` is highly overall correlated with `CalculatedPremiumPerTerm` and 4 other fields	High correlation
`WrittenOff` is highly overall correlated with `AccountType` and 6 other fields	High correlation
`bodytype` is highly overall correlated with `CalculatedPremiumPerTerm` and 5 other fields	High correlation
`cubiccapacity` is highly overall correlated with `kilowatts` and 2 other fields	High correlation
`kilowatts` is highly overall correlated with `cubiccapacity` and 2 other fields	High correlation
`make` is highly overall correlated with `CalculatedPremiumPerTerm` and 8 other fields	High correlation
`mmcode` is highly overall correlated with `VehicleType` and 3 other fields	High correlation
`IsVATRegistered` is highly imbalanced (95.4%)	Imbalance
`Citizenship` is highly imbalanced (75.3%)	Imbalance
`LegalType` is highly imbalanced (82.2%)	Imbalance
`Title` is highly imbalanced (81.2%)	Imbalance
`MaritalStatus` is highly imbalanced (96.5%)	Imbalance
`Gender` is highly imbalanced (80.1%)	Imbalance
`VehicleType` is highly imbalanced (82.3%)	Imbalance
`make` is highly imbalanced (74.5%)	Imbalance
`bodytype` is highly imbalanced (73.6%)	Imbalance
`AlarmImmobiliser` is highly imbalanced (99.7%)	Imbalance
`NewVehicle` is highly imbalanced (98.0%)	Imbalance
`WrittenOff` is highly imbalanced (99.9%)	Imbalance
`Rebuilt` is highly imbalanced (99.9%)	Imbalance
`Converted` is highly imbalanced (99.7%)	Imbalance
`TermFrequency` is highly imbalanced (99.3%)	Imbalance
`ExcessSelected` is highly imbalanced (69.6%)	Imbalance
`CoverGroup` is highly imbalanced (72.6%)	Imbalance
`Section` is highly imbalanced (67.3%)	Imbalance
`Product` is highly imbalanced (77.4%)	Imbalance
`Bank` has 145961 (14.6%) missing values	Missing
`AccountType` has 40232 (4.0%) missing values	Missing
`CustomValueEstimate` has 779642 (78.0%) missing values	Missing
`NewVehicle` has 153295 (15.3%) missing values	Missing
`WrittenOff` has 641901 (64.2%) missing values	Missing
`Rebuilt` has 641901 (64.2%) missing values	Missing
`Converted` has 641901 (64.2%) missing values	Missing
`CrossBorder` has 999400 (99.9%) missing values	Missing
`NumberOfVehiclesInFleet` has 1000098 (100.0%) missing values	Missing
`CustomValueEstimate` is highly skewed (γ1 = 40.87051775)	Skewed
`CalculatedPremiumPerTerm` is highly skewed (γ1 = 122.9745813)	Skewed
`TotalPremium` is highly skewed (γ1 = 138.5964576)	Skewed
`TotalClaims` is highly skewed (γ1 = 69.93311843)	Skewed
`CapitalOutstanding` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`NumberOfVehiclesInFleet` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`TotalPremium` has 381634 (38.2%) zeros	Zeros
`TotalClaims` has 997305 (99.7%) zeros	Zeros

Reproduction

Analysis started	2025-06-17 15:27:51.033481
Analysis finished	2025-06-17 15:30:53.917357
Duration	3 minutes and 2.88 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

UnderwrittenCoverID
Real number (ℝ)

High correlation

Distinct	116532
Distinct (%)	11.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	104817.55

Minimum	1
Maximum	301175
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	1
5-th percentile	15033
Q1	55143
median	94083
Q3	139190
95-th percentile	238232
Maximum	301175
Range	301174
Interquartile range (IQR)	84047

Descriptive statistics

Standard deviation	63293.708
Coefficient of variation (CV)	0.6038465
Kurtosis	0.028836845
Mean	104817.55
Median Absolute Deviation (MAD)	41307
Skewness	0.61170958
Sum	1.0482782 × 10¹¹
Variance	4.0060935 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
85640	30	< 0.1%
85641	30	< 0.1%
85642	30	< 0.1%
85651	30	< 0.1%
85644	30	< 0.1%
85639	30	< 0.1%
85646	30	< 0.1%
85643	30	< 0.1%
85645	30	< 0.1%
85638	30	< 0.1%
Other values (116522)	999798	> 99.9%

Value	Count	Frequency (%)
1	12	< 0.1%
2	12	< 0.1%
3	12	< 0.1%
4	12	< 0.1%
5	12	< 0.1%
6	12	< 0.1%
7	12	< 0.1%
11	12	< 0.1%
12	12	< 0.1%
13	12	< 0.1%

Value	Count	Frequency (%)
301175	2	< 0.1%
301174	2	< 0.1%
301173	2	< 0.1%
301170	2	< 0.1%
301169	2	< 0.1%
301168	2	< 0.1%
301167	2	< 0.1%
301166	2	< 0.1%
301165	2	< 0.1%
301163	2	< 0.1%

PolicyID
Real number (ℝ)

High correlation

Distinct	7000
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	7956.6825

Minimum	14
Maximum	23246
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	14
5-th percentile	477
Q1	4500
median	7071
Q3	11077
95-th percentile	20273
Maximum	23246
Range	23232
Interquartile range (IQR)	6577

Descriptive statistics

Standard deviation	5290.0385
Coefficient of variation (CV)	0.6648548
Kurtosis	0.28196964
Mean	7956.6825
Median Absolute Deviation (MAD)	3201
Skewness	0.73742825
Sum	7.9574622 × 10⁹
Variance	27984507
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3870	10400	1.0%
698	4500	0.4%
5351	3080	0.3%
6924	2852	0.3%
9774	2392	0.2%
4641	2227	0.2%
6653	2094	0.2%
6641	2028	0.2%
6643	2010	0.2%
2137	1941	0.2%
Other values (6990)	966574	96.6%

Value	Count	Frequency (%)
14	216	< 0.1%
15	225	< 0.1%
16	108	< 0.1%
17	108	< 0.1%
18	108	< 0.1%
19	108	< 0.1%
20	108	< 0.1%
21	216	< 0.1%
22	108	< 0.1%
23	108	< 0.1%

Value	Count	Frequency (%)
23246	20	< 0.1%
23245	22	< 0.1%
23244	24	< 0.1%
23241	22	< 0.1%
23239	8	< 0.1%
23238	9	< 0.1%
23223	1	< 0.1%
23222	1	< 0.1%
23220	10	< 0.1%
23219	33	< 0.1%

TransactionMonth
Categorical

Distinct	23
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

2015-08-01 00:00:00	106747
2015-07-01 00:00:00	104143
2015-06-01 00:00:00	102594
2015-05-01 00:00:00	99898
2015-04-01 00:00:00	96563
Other values (18)	490153

Length

Max length	19
Median length	19
Mean length	19
Min length	19

Characters and Unicode

Total characters	19001862
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2015-03-01 00:00:00
2nd row	2015-05-01 00:00:00
3rd row	2015-07-01 00:00:00
4th row	2015-05-01 00:00:00
5th row	2015-07-01 00:00:00

Common Values

Value	Count	Frequency (%)
2015-08-01 00:00:00	106747	10.7%
2015-07-01 00:00:00	104143	10.4%
2015-06-01 00:00:00	102594	10.3%
2015-05-01 00:00:00	99898	10.0%
2015-04-01 00:00:00	96563	9.7%
2015-03-01 00:00:00	92015	9.2%
2015-02-01 00:00:00	83198	8.3%
2015-01-01 00:00:00	71576	7.2%
2014-12-01 00:00:00	62457	6.2%
2014-11-01 00:00:00	48248	4.8%
Other values (13)	132659	13.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
00:00:00	1000098	50.0%
2015-08-01	106747	5.3%
2015-07-01	104143	5.2%
2015-06-01	102594	5.1%
2015-05-01	99898	5.0%
2015-04-01	96563	4.8%
2015-03-01	92015	4.6%
2015-02-01	83198	4.2%
2015-01-01	71576	3.6%
2014-12-01	62457	3.1%
Other values (14)	180907	9.0%

Most occurring characters

Value	Count	Frequency (%)
0	8887486	46.8%
1	2270304	11.9%
-	2000196	10.5%
:	2000196	10.5%
2	1149310	6.0%
	1000098	5.3%
5	866116	4.6%
4	344110	1.8%
8	126373	0.7%
7	119050	0.6%
Other values (3)	238623	1.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	19001862	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	8887486	46.8%
1	2270304	11.9%
-	2000196	10.5%
:	2000196	10.5%
2	1149310	6.0%
	1000098	5.3%
5	866116	4.6%
4	344110	1.8%
8	126373	0.7%
7	119050	0.6%
Other values (3)	238623	1.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	19001862	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	8887486	46.8%
1	2270304	11.9%
-	2000196	10.5%
:	2000196	10.5%
2	1149310	6.0%
	1000098	5.3%
5	866116	4.6%
4	344110	1.8%
8	126373	0.7%
7	119050	0.6%
Other values (3)	238623	1.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	19001862	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	8887486	46.8%
1	2270304	11.9%
-	2000196	10.5%
:	2000196	10.5%
2	1149310	6.0%
	1000098	5.3%
5	866116	4.6%
4	344110	1.8%
8	126373	0.7%
7	119050	0.6%
Other values (3)	238623	1.3%

IsVATRegistered
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	976.8 KiB

False	995075
True	5023

Value	Count	Frequency (%)
False	995075	99.5%
True	5023	0.5%

Citizenship
Categorical

Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

	895210
ZA	103721
ZW	936
AF	231

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	2000196
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

Value	Count	Frequency (%)
	895210	89.5%
ZA	103721	10.4%
ZW	936	0.1%
AF	231	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
za	103721	98.9%
zw	936	0.9%
af	231	0.2%

Most occurring characters

Value	Count	Frequency (%)
	1790420	89.5%
Z	104657	5.2%
A	103952	5.2%
W	936	< 0.1%
F	231	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2000196	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	1790420	89.5%
Z	104657	5.2%
A	103952	5.2%
W	936	< 0.1%
F	231	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2000196	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	1790420	89.5%
Z	104657	5.2%
A	103952	5.2%
W	936	< 0.1%
F	231	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2000196	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	1790420	89.5%
Z	104657	5.2%
A	103952	5.2%
W	936	< 0.1%
F	231	< 0.1%

LegalType
Categorical

Imbalance

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Individual	911929
Private company	83891
Close Corporation	2459
Public company	1295
Partnership	331

Length

Max length	17
Median length	10
Mean length	10.443101
Min length	10

Characters and Unicode

Total characters	10444124
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Close Corporation
2nd row	Close Corporation
3rd row	Close Corporation
4th row	Close Corporation
5th row	Close Corporation

Common Values

Value	Count	Frequency (%)
Individual	911929	91.2%
Private company	83891	8.4%
Close Corporation	2459	0.2%
Public company	1295	0.1%
Partnership	331	< 0.1%
Sole proprieter	193	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
individual	911929	83.8%
company	85186	7.8%
private	83891	7.7%
close	2459	0.2%
corporation	2459	0.2%
public	1295	0.1%
partnership	331	< 0.1%
sole	193	< 0.1%
proprieter	193	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
i	1912027	18.3%
d	1823858	17.5%
a	1083796	10.4%
n	999905	9.6%
v	995820	9.5%
l	915876	8.8%
u	913224	8.7%
I	911929	8.7%
o	95408	0.9%
r	90050	0.9%
Other values (13)	702231	6.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10444124	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	1912027	18.3%
d	1823858	17.5%
a	1083796	10.4%
n	999905	9.6%
v	995820	9.5%
l	915876	8.8%
u	913224	8.7%
I	911929	8.7%
o	95408	0.9%
r	90050	0.9%
Other values (13)	702231	6.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10444124	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	1912027	18.3%
d	1823858	17.5%
a	1083796	10.4%
n	999905	9.6%
v	995820	9.5%
l	915876	8.8%
u	913224	8.7%
I	911929	8.7%
o	95408	0.9%
r	90050	0.9%
Other values (13)	702231	6.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10444124	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	1912027	18.3%
d	1823858	17.5%
a	1083796	10.4%
n	999905	9.6%
v	995820	9.5%
l	915876	8.8%
u	913224	8.7%
I	911929	8.7%
o	95408	0.9%
r	90050	0.9%
Other values (13)	702231	6.7%

Title
Categorical

Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Mr	933555
Mrs	45850
Ms	13269
Miss	6614
Dr	810

Length

Max length	4
Median length	2
Mean length	2.0590722
Min length	2

Characters and Unicode

Total characters	2059274
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mr
2nd row	Mr
3rd row	Mr
4th row	Mr
5th row	Mr

Common Values

Value	Count	Frequency (%)
Mr	933555	93.3%
Mrs	45850	4.6%
Ms	13269	1.3%
Miss	6614	0.7%
Dr	810	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mr	933555	93.3%
mrs	45850	4.6%
ms	13269	1.3%
miss	6614	0.7%
dr	810	0.1%

Most occurring characters

Value	Count	Frequency (%)
M	999288	48.5%
r	980215	47.6%
s	72347	3.5%
i	6614	0.3%
D	810	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2059274	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
M	999288	48.5%
r	980215	47.6%
s	72347	3.5%
i	6614	0.3%
D	810	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2059274	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
M	999288	48.5%
r	980215	47.6%
s	72347	3.5%
i	6614	0.3%
D	810	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2059274	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
M	999288	48.5%
r	980215	47.6%
s	72347	3.5%
i	6614	0.3%
D	810	< 0.1%

Language
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

English	1000098

Length

Max length	7
Median length	7
Mean length	7
Min length	7

Characters and Unicode

Total characters	7000686
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	English
2nd row	English
3rd row	English
4th row	English
5th row	English

Common Values

Value	Count	Frequency (%)
English	1000098	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
english	1000098	100.0%

Most occurring characters

Value	Count	Frequency (%)
E	1000098	14.3%
n	1000098	14.3%
g	1000098	14.3%
l	1000098	14.3%
i	1000098	14.3%
s	1000098	14.3%
h	1000098	14.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7000686	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	1000098	14.3%
n	1000098	14.3%
g	1000098	14.3%
l	1000098	14.3%
i	1000098	14.3%
s	1000098	14.3%
h	1000098	14.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7000686	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	1000098	14.3%
n	1000098	14.3%
g	1000098	14.3%
l	1000098	14.3%
i	1000098	14.3%
s	1000098	14.3%
h	1000098	14.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7000686	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	1000098	14.3%
n	1000098	14.3%
g	1000098	14.3%
l	1000098	14.3%
i	1000098	14.3%
s	1000098	14.3%
h	1000098	14.3%

Bank
Categorical

High correlation Missing

Distinct	11
Distinct (%)	< 0.1%
Missing	145961
Missing (%)	14.6%
Memory size	7.6 MiB

First National Bank	260811
ABSA Bank	204954
Standard Bank	181715
Nedbank	132003
Capitec Bank	58155
Other values (6)	16499

Length

Max length	22
Median length	19
Mean length	12.916798
Min length	7

Characters and Unicode

Total characters	11032715
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	First National Bank
2nd row	First National Bank
3rd row	First National Bank
4th row	First National Bank
5th row	First National Bank

Common Values

Value	Count	Frequency (%)
First National Bank	260811	26.1%
ABSA Bank	204954	20.5%
Standard Bank	181715	18.2%
Nedbank	132003	13.2%
Capitec Bank	58155	5.8%
RMB Private Bank	12576	1.3%
Ithala Bank	1730	0.2%
Investec Bank	732	0.1%
Old Mutual	688	0.1%
FirstRand Bank	638	0.1%
(Missing)	145961	14.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
bank	721446	39.0%
first	260811	14.1%
national	260811	14.1%
absa	204954	11.1%
standard	181715	9.8%
nedbank	132003	7.1%
capitec	58155	3.1%
rmb	12576	0.7%
private	12576	0.7%
ithala	1730	0.1%
Other values (6)	3016	0.2%

Most occurring characters

Value	Count	Frequency (%)
a	1814153	16.4%
n	1297615	11.8%
	995656	9.0%
B	938976	8.5%
k	853449	7.7%
t	777991	7.1%
i	593261	5.4%
d	496759	4.5%
r	455875	4.1%
A	409908	3.7%
Other values (20)	2399072	21.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11032715	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1814153	16.4%
n	1297615	11.8%
	995656	9.0%
B	938976	8.5%
k	853449	7.7%
t	777991	7.1%
i	593261	5.4%
d	496759	4.5%
r	455875	4.1%
A	409908	3.7%
Other values (20)	2399072	21.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11032715	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1814153	16.4%
n	1297615	11.8%
	995656	9.0%
B	938976	8.5%
k	853449	7.7%
t	777991	7.1%
i	593261	5.4%
d	496759	4.5%
r	455875	4.1%
A	409908	3.7%
Other values (20)	2399072	21.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11032715	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1814153	16.4%
n	1297615	11.8%
	995656	9.0%
B	938976	8.5%
k	853449	7.7%
t	777991	7.1%
i	593261	5.4%
d	496759	4.5%
r	455875	4.1%
A	409908	3.7%
Other values (20)	2399072	21.7%

AccountType
Categorical

High correlation Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	40232
Missing (%)	4.0%
Memory size	7.6 MiB

Current account	597938
Savings account	358207
Transmission account	3721

Length

Max length	20
Median length	15
Mean length	15.019383
Min length	15

Characters and Unicode

Total characters	14416595
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Current account
2nd row	Current account
3rd row	Current account
4th row	Current account
5th row	Current account

Common Values

Value	Count	Frequency (%)
Current account	597938	59.8%
Savings account	358207	35.8%
Transmission account	3721	0.4%
(Missing)	40232	4.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
account	959866	50.0%
current	597938	31.1%
savings	358207	18.7%
transmission	3721	0.2%

Most occurring characters

Value	Count	Frequency (%)
n	1923453	13.3%
c	1919732	13.3%
t	1557804	10.8%
u	1557804	10.8%
a	1321794	9.2%
r	1199597	8.3%
o	963587	6.7%
	959866	6.7%
C	597938	4.1%
e	597938	4.1%
Other values (7)	1817082	12.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14416595	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	1923453	13.3%
c	1919732	13.3%
t	1557804	10.8%
u	1557804	10.8%
a	1321794	9.2%
r	1199597	8.3%
o	963587	6.7%
	959866	6.7%
C	597938	4.1%
e	597938	4.1%
Other values (7)	1817082	12.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14416595	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	1923453	13.3%
c	1919732	13.3%
t	1557804	10.8%
u	1557804	10.8%
a	1321794	9.2%
r	1199597	8.3%
o	963587	6.7%
	959866	6.7%
C	597938	4.1%
e	597938	4.1%
Other values (7)	1817082	12.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14416595	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	1923453	13.3%
c	1919732	13.3%
t	1557804	10.8%
u	1557804	10.8%
a	1321794	9.2%
r	1199597	8.3%
o	963587	6.7%
	959866	6.7%
C	597938	4.1%
e	597938	4.1%
Other values (7)	1817082	12.6%

MaritalStatus
Categorical

Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	8259
Missing (%)	0.8%
Memory size	7.6 MiB

Not specified	986208
Single	4254
Married	1377

Length

Max length	13
Median length	13
Mean length	12.961647
Min length	6

Characters and Unicode

Total characters	12855867
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Not specified
2nd row	Not specified
3rd row	Not specified
4th row	Not specified
5th row	Not specified

Common Values

Value	Count	Frequency (%)
Not specified	986208	98.6%
Single	4254	0.4%
Married	1377	0.1%
(Missing)	8259	0.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
not	986208	49.9%
specified	986208	49.9%
single	4254	0.2%
married	1377	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	1978047	15.4%
i	1978047	15.4%
d	987585	7.7%
N	986208	7.7%
o	986208	7.7%
t	986208	7.7%
p	986208	7.7%
s	986208	7.7%
c	986208	7.7%
	986208	7.7%
Other values (8)	1008732	7.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12855867	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1978047	15.4%
i	1978047	15.4%
d	987585	7.7%
N	986208	7.7%
o	986208	7.7%
t	986208	7.7%
p	986208	7.7%
s	986208	7.7%
c	986208	7.7%
	986208	7.7%
Other values (8)	1008732	7.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12855867	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1978047	15.4%
i	1978047	15.4%
d	987585	7.7%
N	986208	7.7%
o	986208	7.7%
t	986208	7.7%
p	986208	7.7%
s	986208	7.7%
c	986208	7.7%
	986208	7.7%
Other values (8)	1008732	7.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12855867	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1978047	15.4%
i	1978047	15.4%
d	987585	7.7%
N	986208	7.7%
o	986208	7.7%
t	986208	7.7%
p	986208	7.7%
s	986208	7.7%
c	986208	7.7%
	986208	7.7%
Other values (8)	1008732	7.8%

Gender
Categorical

Imbalance

Distinct	3
Distinct (%)	< 0.1%
Missing	9536
Missing (%)	1.0%
Memory size	7.6 MiB

Not specified	940990
Male	42817
Female	6755

Length

Max length	13
Median length	13
Mean length	12.56324
Min length	4

Characters and Unicode

Total characters	12444668
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Not specified
2nd row	Not specified
3rd row	Not specified
4th row	Not specified
5th row	Not specified

Common Values

Value	Count	Frequency (%)
Not specified	940990	94.1%
Male	42817	4.3%
Female	6755	0.7%
(Missing)	9536	1.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
not	940990	48.7%
specified	940990	48.7%
male	42817	2.2%
female	6755	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	1938307	15.6%
i	1881980	15.1%
t	940990	7.6%
N	940990	7.6%
	940990	7.6%
s	940990	7.6%
p	940990	7.6%
o	940990	7.6%
c	940990	7.6%
f	940990	7.6%
Other values (6)	1096461	8.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12444668	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1938307	15.6%
i	1881980	15.1%
t	940990	7.6%
N	940990	7.6%
	940990	7.6%
s	940990	7.6%
p	940990	7.6%
o	940990	7.6%
c	940990	7.6%
f	940990	7.6%
Other values (6)	1096461	8.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12444668	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1938307	15.6%
i	1881980	15.1%
t	940990	7.6%
N	940990	7.6%
	940990	7.6%
s	940990	7.6%
p	940990	7.6%
o	940990	7.6%
c	940990	7.6%
f	940990	7.6%
Other values (6)	1096461	8.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12444668	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1938307	15.6%
i	1881980	15.1%
t	940990	7.6%
N	940990	7.6%
	940990	7.6%
s	940990	7.6%
p	940990	7.6%
o	940990	7.6%
c	940990	7.6%
f	940990	7.6%
Other values (6)	1096461	8.8%

Country
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

South Africa	1000098

Length

Max length	12
Median length	12
Mean length	12
Min length	12

Characters and Unicode

Total characters	12001176
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	South Africa
2nd row	South Africa
3rd row	South Africa
4th row	South Africa
5th row	South Africa

Common Values

Value	Count	Frequency (%)
South Africa	1000098	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
south	1000098	50.0%
africa	1000098	50.0%

Most occurring characters

Value	Count	Frequency (%)
S	1000098	8.3%
o	1000098	8.3%
u	1000098	8.3%
t	1000098	8.3%
h	1000098	8.3%
	1000098	8.3%
A	1000098	8.3%
f	1000098	8.3%
r	1000098	8.3%
i	1000098	8.3%
Other values (2)	2000196	16.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	12001176	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
S	1000098	8.3%
o	1000098	8.3%
u	1000098	8.3%
t	1000098	8.3%
h	1000098	8.3%
	1000098	8.3%
A	1000098	8.3%
f	1000098	8.3%
r	1000098	8.3%
i	1000098	8.3%
Other values (2)	2000196	16.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	12001176	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
S	1000098	8.3%
o	1000098	8.3%
u	1000098	8.3%
t	1000098	8.3%
h	1000098	8.3%
	1000098	8.3%
A	1000098	8.3%
f	1000098	8.3%
r	1000098	8.3%
i	1000098	8.3%
Other values (2)	2000196	16.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	12001176	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
S	1000098	8.3%
o	1000098	8.3%
u	1000098	8.3%
t	1000098	8.3%
h	1000098	8.3%
	1000098	8.3%
A	1000098	8.3%
f	1000098	8.3%
r	1000098	8.3%
i	1000098	8.3%
Other values (2)	2000196	16.7%

Province
Categorical

High correlation

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Gauteng	393865
Western Cape	170796
KwaZulu-Natal	169781
North West	143287
Mpumalanga	52718
Other values (4)	69651

Length

Max length	13
Median length	12
Mean length	9.6746759
Min length	7

Characters and Unicode

Total characters	9675624
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Gauteng
2nd row	Gauteng
3rd row	Gauteng
4th row	Gauteng
5th row	Gauteng

Common Values

Value	Count	Frequency (%)
Gauteng	393865	39.4%
Western Cape	170796	17.1%
KwaZulu-Natal	169781	17.0%
North West	143287	14.3%
Mpumalanga	52718	5.3%
Eastern Cape	30336	3.0%
Limpopo	24836	2.5%
Free State	8099	0.8%
Northern Cape	6380	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gauteng	393865	29.0%
cape	207512	15.3%
western	170796	12.6%
kwazulu-natal	169781	12.5%
north	143287	10.5%
west	143287	10.5%
mpumalanga	52718	3.9%
eastern	30336	2.2%
limpopo	24836	1.8%
free	8099	0.6%
Other values (2)	14479	1.1%

Most occurring characters

Value	Count	Frequency (%)
a	1307309	13.5%
e	1147269	11.9%
t	1073930	11.1%
u	786145	8.1%
n	654095	6.8%
g	446583	4.6%
G	393865	4.1%
l	392280	4.1%
r	365278	3.8%
	358898	3.7%
Other values (18)	2749972	28.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9675624	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1307309	13.5%
e	1147269	11.9%
t	1073930	11.1%
u	786145	8.1%
n	654095	6.8%
g	446583	4.6%
G	393865	4.1%
l	392280	4.1%
r	365278	3.8%
	358898	3.7%
Other values (18)	2749972	28.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9675624	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1307309	13.5%
e	1147269	11.9%
t	1073930	11.1%
u	786145	8.1%
n	654095	6.8%
g	446583	4.6%
G	393865	4.1%
l	392280	4.1%
r	365278	3.8%
	358898	3.7%
Other values (18)	2749972	28.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9675624	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1307309	13.5%
e	1147269	11.9%
t	1073930	11.1%
u	786145	8.1%
n	654095	6.8%
g	446583	4.6%
G	393865	4.1%
l	392280	4.1%
r	365278	3.8%
	358898	3.7%
Other values (18)	2749972	28.4%

PostalCode
Real number (ℝ)

High correlation

Distinct	888
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3020.6009

Minimum	1
Maximum	9870
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	1
5-th percentile	122
Q1	827
median	2000
Q3	4180
95-th percentile	7800
Maximum	9870
Range	9869
Interquartile range (IQR)	3353

Descriptive statistics

Standard deviation	2649.8544
Coefficient of variation (CV)	0.87726069
Kurtosis	-0.6360581
Mean	3020.6009
Median Absolute Deviation (MAD)	1698
Skewness	0.79947163
Sum	3.0208969 × 10⁹
Variance	7021728.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2000	133498	13.3%
122	49171	4.9%
7784	28585	2.9%
299	25546	2.6%
7405	18518	1.9%
458	13775	1.4%
8000	11794	1.2%
2196	11048	1.1%
470	10226	1.0%
7100	10161	1.0%
Other values (878)	687776	68.8%

Value	Count	Frequency (%)
1	5341	0.5%
2	1488	0.1%
4	77	< 0.1%
5	400	< 0.1%
6	440	< 0.1%
7	356	< 0.1%
8	1279	0.1%
17	160	< 0.1%
21	415	< 0.1%
22	605	0.1%

Value	Count	Frequency (%)
9870	220	< 0.1%
9869	1415	0.1%
9868	100	< 0.1%
9830	56	< 0.1%
9781	643	0.1%
9762	212	< 0.1%
9756	132	< 0.1%
9752	120	< 0.1%
9750	400	< 0.1%
9745	45	< 0.1%

MainCrestaZone
Categorical

High correlation

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Transvaal (all except Pretoria)	296187
Johannesburg	176020
Transvaal (Pretoria)	100331
Cape Province (Cape Town)	95936
Natal	88266
Other values (11)	243358

Length

Max length	43
Median length	31
Mean length	21.486147
Min length	5

Characters and Unicode

Total characters	21488253
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rand East
2nd row	Rand East
3rd row	Rand East
4th row	Rand East
5th row	Rand East

Common Values

Value	Count	Frequency (%)
Transvaal (all except Pretoria)	296187	29.6%
Johannesburg	176020	17.6%
Transvaal (Pretoria)	100331	10.0%
Cape Province (Cape Town)	95936	9.6%
Natal	88266	8.8%
Natal (Durban)	82859	8.3%
Karoo 1 (Northeast of Cape Town)	52732	5.3%
Rand East	42168	4.2%
Tembu 2, Cape Mid 2, Cape Mid West, Tembu 1	20191	2.0%
Cape Province (East and North of Cape Town)	19391	1.9%
Other values (6)	26017	2.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
transvaal	396518	13.1%
pretoria	396518	13.1%
cape	332884	11.0%
except	296187	9.8%
all	296187	9.8%
johannesburg	176020	5.8%
natal	171125	5.6%
town	168059	5.5%
province	122028	4.0%
durban	82859	2.7%
Other values (21)	592579	19.6%

Most occurring characters

Value	Count	Frequency (%)
a	3075922	14.3%
	2030866	9.5%
e	1769922	8.2%
r	1713396	8.0%
n	1202143	5.6%
l	1164808	5.4%
o	1134075	5.3%
t	1100276	5.1%
s	719414	3.3%
(	647436	3.0%
Other values (35)	6929995	32.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	21488253	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	3075922	14.3%
	2030866	9.5%
e	1769922	8.2%
r	1713396	8.0%
n	1202143	5.6%
l	1164808	5.4%
o	1134075	5.3%
t	1100276	5.1%
s	719414	3.3%
(	647436	3.0%
Other values (35)	6929995	32.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	21488253	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	3075922	14.3%
	2030866	9.5%
e	1769922	8.2%
r	1713396	8.0%
n	1202143	5.6%
l	1164808	5.4%
o	1134075	5.3%
t	1100276	5.1%
s	719414	3.3%
(	647436	3.0%
Other values (35)	6929995	32.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	21488253	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	3075922	14.3%
	2030866	9.5%
e	1769922	8.2%
r	1713396	8.0%
n	1202143	5.6%
l	1164808	5.4%
o	1134075	5.3%
t	1100276	5.1%
s	719414	3.3%
(	647436	3.0%
Other values (35)	6929995	32.3%

SubCrestaZone
Categorical

High correlation

Distinct	45
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Johannesburg	176020
Pretoria	100331
Cape Town	95936
Durban	82859
Transvaal North	75141
Other values (40)	469811

Length

Max length	20
Median length	17
Mean length	11.570149
Min length	5

Characters and Unicode

Total characters	11571283
Distinct characters	44
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Rand East
2nd row	Rand East
3rd row	Rand East
4th row	Rand East
5th row	Rand East

Common Values

Value	Count	Frequency (%)
Johannesburg	176020	17.6%
Pretoria	100331	10.0%
Cape Town	95936	9.6%
Durban	82859	8.3%
Transvaal North	75141	7.5%
Transvaal North West	72558	7.3%
Northeast of CT	51386	5.1%
Transvaal East	45729	4.6%
Transvaal South	45571	4.6%
Rand East	42168	4.2%
Other values (35)	212399	21.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
transvaal	253447	14.2%
north	198031	11.1%
johannesburg	176020	9.9%
east	117229	6.6%
west	110714	6.2%
cape	105095	5.9%
pretoria	100331	5.6%
town	95936	5.4%
durban	82859	4.7%
south	72502	4.1%
Other values (29)	467784	26.3%

Most occurring characters

Value	Count	Frequency (%)
a	1622753	14.0%
r	978124	8.5%
n	900172	7.8%
o	840123	7.3%
t	789786	6.8%
s	783786	6.8%
	779850	6.7%
e	594775	5.1%
h	524645	4.5%
T	413347	3.6%
Other values (34)	3343922	28.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	11571283	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	1622753	14.0%
r	978124	8.5%
n	900172	7.8%
o	840123	7.3%
t	789786	6.8%
s	783786	6.8%
	779850	6.7%
e	594775	5.1%
h	524645	4.5%
T	413347	3.6%
Other values (34)	3343922	28.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	11571283	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	1622753	14.0%
r	978124	8.5%
n	900172	7.8%
o	840123	7.3%
t	789786	6.8%
s	783786	6.8%
	779850	6.7%
e	594775	5.1%
h	524645	4.5%
T	413347	3.6%
Other values (34)	3343922	28.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	11571283	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	1622753	14.0%
r	978124	8.5%
n	900172	7.8%
o	840123	7.3%
t	789786	6.8%
s	783786	6.8%
	779850	6.7%
e	594775	5.1%
h	524645	4.5%
T	413347	3.6%
Other values (34)	3343922	28.9%

ItemType
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Mobility - Motor	1000098

Length

Max length	16
Median length	16
Mean length	16
Min length	16

Characters and Unicode

Total characters	16001568
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mobility - Motor
2nd row	Mobility - Motor
3rd row	Mobility - Motor
4th row	Mobility - Motor
5th row	Mobility - Motor

Common Values

Value	Count	Frequency (%)
Mobility - Motor	1000098	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mobility	1000098	33.3%
	1000098	33.3%
motor	1000098	33.3%

Most occurring characters

Value	Count	Frequency (%)
o	3000294	18.8%
M	2000196	12.5%
i	2000196	12.5%
t	2000196	12.5%
	2000196	12.5%
b	1000098	6.2%
l	1000098	6.2%
y	1000098	6.2%
-	1000098	6.2%
r	1000098	6.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16001568	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	3000294	18.8%
M	2000196	12.5%
i	2000196	12.5%
t	2000196	12.5%
	2000196	12.5%
b	1000098	6.2%
l	1000098	6.2%
y	1000098	6.2%
-	1000098	6.2%
r	1000098	6.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16001568	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	3000294	18.8%
M	2000196	12.5%
i	2000196	12.5%
t	2000196	12.5%
	2000196	12.5%
b	1000098	6.2%
l	1000098	6.2%
y	1000098	6.2%
-	1000098	6.2%
r	1000098	6.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16001568	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	3000294	18.8%
M	2000196	12.5%
i	2000196	12.5%
t	2000196	12.5%
	2000196	12.5%
b	1000098	6.2%
l	1000098	6.2%
y	1000098	6.2%
-	1000098	6.2%
r	1000098	6.2%

mmcode
Real number (ℝ)

High correlation

Distinct	427
Distinct (%)	< 0.1%
Missing	552
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	54877704

Minimum	4041200
Maximum	65065350
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	4041200
5-th percentile	11511100
Q1	60056925
median	60058415
Q3	60058418
95-th percentile	60058419
Maximum	65065350
Range	61024150
Interquartile range (IQR)	1493

Descriptive statistics

Standard deviation	13603805
Coefficient of variation (CV)	0.24789312
Kurtosis	5.6156328
Mean	54877704
Median Absolute Deviation (MAD)	8
Skewness	-2.6092351
Sum	5.485279 × 10¹³
Variance	1.8506352 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
60058419	186087	18.6%
60058418	165845	16.6%
60058415	137242	13.7%
60058407	99444	9.9%
60056925	79525	8.0%
60056987	40960	4.1%
60058400	28773	2.9%
11510120	16821	1.7%
7512100	11265	1.1%
22840150	11056	1.1%
Other values (417)	222528	22.3%

Value	Count	Frequency (%)
4041200	1	< 0.1%
4041550	1	< 0.1%
4041640	1	< 0.1%
4042080	1005	0.1%
4042120	804	0.1%
4042130	552	0.1%
4042141	615	0.1%
4042151	1116	0.1%
4042281	785	0.1%
4042320	96	< 0.1%

Value	Count	Frequency (%)
65065350	108	< 0.1%
65030720	99	< 0.1%
65030100	109	< 0.1%
64092300	81	< 0.1%
64090740	50	< 0.1%
64088650	80	< 0.1%
64088570	206	< 0.1%
64088515	160	< 0.1%
64088370	1	< 0.1%
64088260	142	< 0.1%

VehicleType
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	552
Missing (%)	0.1%
Memory size	7.6 MiB

Passenger Vehicle	933598
Medium Commercial	53985
Heavy Commercial	7401
Light Commercial	3897
Bus	665

Length

Max length	17
Median length	17
Mean length	16.979383
Min length	3

Characters and Unicode

Total characters	16971674
Distinct characters	25
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Passenger Vehicle
2nd row	Passenger Vehicle
3rd row	Passenger Vehicle
4th row	Passenger Vehicle
5th row	Passenger Vehicle

Common Values

Value	Count	Frequency (%)
Passenger Vehicle	933598	93.4%
Medium Commercial	53985	5.4%
Heavy Commercial	7401	0.7%
Light Commercial	3897	0.4%
Bus	665	0.1%
(Missing)	552	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
passenger	933598	46.7%
vehicle	933598	46.7%
commercial	65283	3.3%
medium	53985	2.7%
heavy	7401	0.4%
light	3897	0.2%
bus	665	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	3861061	22.8%
s	1867861	11.0%
i	1056763	6.2%
a	1006282	5.9%
	998881	5.9%
c	998881	5.9%
l	998881	5.9%
r	998881	5.9%
g	937495	5.5%
h	937495	5.5%
Other values (15)	3309193	19.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	16971674	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	3861061	22.8%
s	1867861	11.0%
i	1056763	6.2%
a	1006282	5.9%
	998881	5.9%
c	998881	5.9%
l	998881	5.9%
r	998881	5.9%
g	937495	5.5%
h	937495	5.5%
Other values (15)	3309193	19.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	16971674	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	3861061	22.8%
s	1867861	11.0%
i	1056763	6.2%
a	1006282	5.9%
	998881	5.9%
c	998881	5.9%
l	998881	5.9%
r	998881	5.9%
g	937495	5.5%
h	937495	5.5%
Other values (15)	3309193	19.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	16971674	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	3861061	22.8%
s	1867861	11.0%
i	1056763	6.2%
a	1006282	5.9%
	998881	5.9%
c	998881	5.9%
l	998881	5.9%
r	998881	5.9%
g	937495	5.5%
h	937495	5.5%
Other values (15)	3309193	19.5%

RegistrationYear
Real number (ℝ)

High correlation

Distinct	25
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2010.2254

Minimum	1987
Maximum	2015
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	1987
5-th percentile	2005
Q1	2008
median	2011
Q3	2013
95-th percentile	2014
Maximum	2015
Range	28
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	3.2613915
Coefficient of variation (CV)	0.0016224009
Kurtosis	0.60808446
Mean	2010.2254
Median Absolute Deviation (MAD)	2
Skewness	-0.79448656
Sum	2.0104224 × 10⁹
Variance	10.636674
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=25)

Value	Count	Frequency (%)
2014	155889	15.6%
2012	130884	13.1%
2013	117064	11.7%
2008	106008	10.6%
2010	95579	9.6%
2011	88765	8.9%
2007	82514	8.3%
2009	72168	7.2%
2006	45111	4.5%
2005	30901	3.1%
Other values (15)	75215	7.5%

Value	Count	Frequency (%)
1987	3	< 0.1%
1988	1	< 0.1%
1992	1	< 0.1%
1994	52	< 0.1%
1995	446	< 0.1%
1996	867	0.1%
1997	1045	0.1%
1998	1465	0.1%
1999	1862	0.2%
2000	1740	0.2%

Value	Count	Frequency (%)
2015	27589	2.8%
2014	155889	15.6%
2013	117064	11.7%
2012	130884	13.1%
2011	88765	8.9%
2010	95579	9.6%
2009	72168	7.2%
2008	106008	10.6%
2007	82514	8.3%
2006	45111	4.5%

make
Categorical

High correlation Imbalance

Distinct	46
Distinct (%)	< 0.1%
Missing	552
Missing (%)	0.1%
Memory size	7.6 MiB

TOYOTA	813280
MERCEDES-BENZ	41940
CMC	21624
VOLKSWAGEN	20929
C.A.M	16171
Other values (41)	85602

Length

Max length	35
Median length	6
Mean length	6.8664734
Min length	3

Characters and Unicode

Total characters	6863356
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	MERCEDES-BENZ
2nd row	MERCEDES-BENZ
3rd row	MERCEDES-BENZ
4th row	MERCEDES-BENZ
5th row	MERCEDES-BENZ

Common Values

Value	Count	Frequency (%)
TOYOTA	813280	81.3%
MERCEDES-BENZ	41940	4.2%
CMC	21624	2.2%
VOLKSWAGEN	20929	2.1%
C.A.M	16171	1.6%
GOLDEN JOURNEY	14462	1.4%
NISSAN/DATSUN	10997	1.1%
JINBEI	10374	1.0%
IVECO	8430	0.8%
AUDI	7407	0.7%
Other values (36)	33932	3.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
toyota	814446	80.3%
mercedes-benz	45071	4.4%
cmc	21624	2.1%
volkswagen	20929	2.1%
c.a.m	16171	1.6%
golden	14462	1.4%
journey	14462	1.4%
nissan/datsun	10997	1.1%
jinbei	10434	1.0%
iveco	8430	0.8%
Other values (33)	36982	3.6%

Most occurring characters

Value	Count	Frequency (%)
O	1699378	24.8%
T	1647668	24.0%
A	896572	13.1%
Y	831979	12.1%
	413784	6.0%
E	254722	3.7%
N	157922	2.3%
C	115881	1.7%
S	113070	1.6%
M	91422	1.3%
Other values (19)	640958	9.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	6863356	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
O	1699378	24.8%
T	1647668	24.0%
A	896572	13.1%
Y	831979	12.1%
	413784	6.0%
E	254722	3.7%
N	157922	2.3%
C	115881	1.7%
S	113070	1.6%
M	91422	1.3%
Other values (19)	640958	9.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	6863356	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
O	1699378	24.8%
T	1647668	24.0%
A	896572	13.1%
Y	831979	12.1%
	413784	6.0%
E	254722	3.7%
N	157922	2.3%
C	115881	1.7%
S	113070	1.6%
M	91422	1.3%
Other values (19)	640958	9.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	6863356	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
O	1699378	24.8%
T	1647668	24.0%
A	896572	13.1%
Y	831979	12.1%
	413784	6.0%
E	254722	3.7%
N	157922	2.3%
C	115881	1.7%
S	113070	1.6%
M	91422	1.3%
Other values (19)	640958	9.3%

Model
Text

Distinct	411
Distinct (%)	< 0.1%
Missing	552
Missing (%)	0.1%
Memory size	7.6 MiB

Length

Max length	41
Median length	39
Mean length	23.211208
Min length	4

Characters and Unicode

Total characters	23200670
Distinct characters	58
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	57 ?
Unique (%)	< 0.1%

Sample

1st row	E 240
2nd row	E 240
3rd row	E 240
4th row	E 240
5th row	E 240

Value	Count	Frequency (%)
quantum	637134	15.9%
sesfikile	600833	15.0%
2.7	499411	12.5%
16s	289064	7.2%
15s	178421	4.5%
2.5	151678	3.8%
d-4d	140358	3.5%
14s	137242	3.4%
hiace	121354	3.0%
16	99332	2.5%
Other values (492)	1152240	28.8%

Most occurring characters

Value	Count	Frequency (%)
	3014522	13.0%
E	1606483	6.9%
S	1533773	6.6%
I	1466322	6.3%
U	1400219	6.0%
A	1188405	5.1%
1	877516	3.8%
T	845207	3.6%
F	798309	3.4%
N	798175	3.4%
Other values (48)	9671739	41.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	23200670	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	3014522	13.0%
E	1606483	6.9%
S	1533773	6.6%
I	1466322	6.3%
U	1400219	6.0%
A	1188405	5.1%
1	877516	3.8%
T	845207	3.6%
F	798309	3.4%
N	798175	3.4%
Other values (48)	9671739	41.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	23200670	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	3014522	13.0%
E	1606483	6.9%
S	1533773	6.6%
I	1466322	6.3%
U	1400219	6.0%
A	1188405	5.1%
1	877516	3.8%
T	845207	3.6%
F	798309	3.4%
N	798175	3.4%
Other values (48)	9671739	41.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	23200670	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	3014522	13.0%
E	1606483	6.9%
S	1533773	6.6%
I	1466322	6.3%
U	1400219	6.0%
A	1188405	5.1%
1	877516	3.8%
T	845207	3.6%
F	798309	3.4%
N	798175	3.4%
Other values (48)	9671739	41.7%

Cylinders
Real number (ℝ)

High correlation

Distinct	7
Distinct (%)	< 0.1%
Missing	552
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	4.0466422

Minimum	0
Maximum	10
Zeros	338
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	4
median	4
Q3	4
95-th percentile	4
Maximum	10
Range	10
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.29402012
Coefficient of variation (CV)	0.0726578
Kurtosis	71.285271
Mean	4.0466422
Median Absolute Deviation (MAD)	0
Skewness	5.7046352
Sum	4044805
Variance	0.086447829
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
4	965284	96.5%
5	20947	2.1%
6	11982	1.2%
8	698	0.1%
0	338	< 0.1%
3	216	< 0.1%
10	81	< 0.1%
(Missing)	552	0.1%

Value	Count	Frequency (%)
0	338	< 0.1%
3	216	< 0.1%
4	965284	96.5%
5	20947	2.1%
6	11982	1.2%
8	698	0.1%
10	81	< 0.1%

Value	Count	Frequency (%)
10	81	< 0.1%
8	698	0.1%
6	11982	1.2%
5	20947	2.1%
4	965284	96.5%
3	216	< 0.1%
0	338	< 0.1%

cubiccapacity
Real number (ℝ)

High correlation

Distinct	122
Distinct (%)	< 0.1%
Missing	552
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	2466.7433

Minimum	0
Maximum	12880
Zeros	3323
Zeros (%)	0.3%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	0
5-th percentile	1495
Q1	2237
median	2694
Q3	2694
95-th percentile	2694
Maximum	12880
Range	12880
Interquartile range (IQR)	457

Descriptive statistics

Standard deviation	442.80064
Coefficient of variation (CV)	0.1795082
Kurtosis	102.2898
Mean	2466.7433
Median Absolute Deviation (MAD)	6
Skewness	3.5760249
Sum	2.4656234 × 10⁹
Variance	196072.41
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2694	497056	49.7%
2237	177976	17.8%
2494	140287	14.0%
1495	18693	1.9%
2148	14722	1.5%
1330	12507	1.3%
2488	10805	1.1%
1298	10185	1.0%
2987	10067	1.0%
2700	9917	1.0%
Other values (112)	97331	9.7%

Value	Count	Frequency (%)
0	3323	0.3%
996	216	< 0.1%
1149	99	< 0.1%
1197	1	< 0.1%
1248	108	< 0.1%
1296	2729	0.3%
1297	90	< 0.1%
1298	10185	1.0%
1323	120	< 0.1%
1329	57	< 0.1%

Value	Count	Frequency (%)
12880	182	< 0.1%
11412	216	< 0.1%
7961	242	< 0.1%
5958	1	< 0.1%
5833	80	< 0.1%
5675	300	< 0.1%
5328	698	0.1%
4921	81	< 0.1%
4300	51	< 0.1%
4250	108	< 0.1%

kilowatts
Real number (ℝ)

High correlation

Distinct	82
Distinct (%)	< 0.1%
Missing	552
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	97.207919

Minimum	0
Maximum	309
Zeros	328
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	0
5-th percentile	75
Q1	75
median	111
Q3	111
95-th percentile	111
Maximum	309
Range	309
Interquartile range (IQR)	36

Descriptive statistics

Standard deviation	19.393256
Coefficient of variation (CV)	0.19950284
Kurtosis	3.0099924
Mean	97.207919
Median Absolute Deviation (MAD)	1
Skewness	0.24471889
Sum	97163787
Variance	376.09836
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
111	496946	49.7%
75	261777	26.2%
76	67185	6.7%
80	19782	2.0%
110	18505	1.9%
115	13919	1.4%
74	13253	1.3%
108	11084	1.1%
67	9856	1.0%
102	7273	0.7%
Other values (72)	79966	8.0%

Value	Count	Frequency (%)
0	328	< 0.1%
47	401	< 0.1%
50	120	< 0.1%
51	216	< 0.1%
52	1	< 0.1%
55	2918	0.3%
58	97	< 0.1%
59	2	< 0.1%
60	1754	0.2%
61	207	< 0.1%

Value	Count	Frequency (%)
309	182	< 0.1%
230	81	< 0.1%
228	9	< 0.1%
224	698	0.1%
200	73	< 0.1%
190	9	< 0.1%
182	99	< 0.1%
180	587	0.1%
176	108	< 0.1%
173	1	< 0.1%

bodytype
Categorical

High correlation Imbalance

Distinct	13
Distinct (%)	< 0.1%
Missing	552
Missing (%)	0.1%
Memory size	7.6 MiB

B/S	844400
P/V	55034
S/D	41868
MPV	33842
C/C	8861
Other values (8)	15541

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	2998638
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	S/D
2nd row	S/D
3rd row	S/D
4th row	S/D
5th row	S/D

Common Values

Value	Count	Frequency (%)
B/S	844400	84.4%
P/V	55034	5.5%
S/D	41868	4.2%
MPV	33842	3.4%
C/C	8861	0.9%
H/B	8400	0.8%
S/W	3100	0.3%
SUV	2049	0.2%
S/C	880	0.1%
C/P	644	0.1%
Other values (3)	468	< 0.1%
(Missing)	552	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
b/s	844400	84.5%
p/v	55034	5.5%
s/d	41868	4.2%
mpv	33842	3.4%
c/c	8861	0.9%
h/b	8400	0.8%
s/w	3100	0.3%
suv	2049	0.2%
s/c	880	0.1%
c/p	644	0.1%
Other values (3)	468	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
/	963439	32.1%
S	892417	29.8%
B	852800	28.4%
V	90925	3.0%
P	89520	3.0%
D	42120	1.4%
M	33842	1.1%
C	19810	0.7%
H	8400	0.3%
W	3100	0.1%
Other values (2)	2265	0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2998638	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
/	963439	32.1%
S	892417	29.8%
B	852800	28.4%
V	90925	3.0%
P	89520	3.0%
D	42120	1.4%
M	33842	1.1%
C	19810	0.7%
H	8400	0.3%
W	3100	0.1%
Other values (2)	2265	0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2998638	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
/	963439	32.1%
S	892417	29.8%
B	852800	28.4%
V	90925	3.0%
P	89520	3.0%
D	42120	1.4%
M	33842	1.1%
C	19810	0.7%
H	8400	0.3%
W	3100	0.1%
Other values (2)	2265	0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2998638	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
/	963439	32.1%
S	892417	29.8%
B	852800	28.4%
V	90925	3.0%
P	89520	3.0%
D	42120	1.4%
M	33842	1.1%
C	19810	0.7%
H	8400	0.3%
W	3100	0.1%
Other values (2)	2265	0.1%

NumberOfDoors
Real number (ℝ)

High correlation

Distinct	6
Distinct (%)	< 0.1%
Missing	552
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	4.0192497

Minimum	0
Maximum	6
Zeros	1995
Zeros (%)	0.2%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	0
5-th percentile	4
Q1	4
median	4
Q3	4
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.46831443
Coefficient of variation (CV)	0.11651787
Kurtosis	18.833823
Mean	4.0192497
Median Absolute Deviation (MAD)	0
Skewness	-2.5313282
Sum	4017425
Variance	0.21931841
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
4	892838	89.3%
5	76599	7.7%
2	26055	2.6%
0	1995	0.2%
6	1597	0.2%
3	462	< 0.1%
(Missing)	552	0.1%

Value	Count	Frequency (%)
0	1995	0.2%
2	26055	2.6%
3	462	< 0.1%
4	892838	89.3%
5	76599	7.7%
6	1597	0.2%

Value	Count	Frequency (%)
6	1597	0.2%
5	76599	7.7%
4	892838	89.3%
3	462	< 0.1%
2	26055	2.6%
0	1995	0.2%

VehicleIntroDate
Date

Distinct	160
Distinct (%)	< 0.1%
Missing	552
Missing (%)	0.1%
Memory size	7.6 MiB

Minimum	1977-10-01 00:00:00
Maximum	2014-09-01 00:00:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

CustomValueEstimate
Real number (ℝ)

High correlation Missing Skewed

Distinct	923
Distinct (%)	0.4%
Missing	779642
Missing (%)	78.0%
Infinite	0
Infinite (%)	0.0%
Mean	225531.13

Minimum	20000
Maximum	26550000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	20000
5-th percentile	58300
Q1	135000
median	220000
Q3	280000
95-th percentile	360000
Maximum	26550000
Range	26530000
Interquartile range (IQR)	145000

Descriptive statistics

Standard deviation	564515.75
Coefficient of variation (CV)	2.5030502
Kurtosis	1762.3216
Mean	225531.13
Median Absolute Deviation (MAD)	79600
Skewness	40.870518
Sum	4.9719691 × 10¹⁰
Variance	3.1867803 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
250000	4401	0.4%
280000	4398	0.4%
140000	4311	0.4%
200000	3937	0.4%
293300	3646	0.4%
256900	3499	0.3%
135600	3439	0.3%
80000	3416	0.3%
241200	2966	0.3%
220000	2576	0.3%
Other values (913)	183867	18.4%
(Missing)	779642	78.0%

Value	Count	Frequency (%)
20000	72	< 0.1%
23100	88	< 0.1%
24000	38	< 0.1%
27100	32	< 0.1%
30000	234	< 0.1%
32000	117	< 0.1%
34000	94	< 0.1%
35000	456	< 0.1%
35200	104	< 0.1%
36800	20	< 0.1%

Value	Count	Frequency (%)
26550000	66	< 0.1%
19000000	63	< 0.1%
715712	198	< 0.1%
691000	70	< 0.1%
654000	33	< 0.1%
647292	197	< 0.1%
637000	40	< 0.1%
626084	72	< 0.1%
625000	33	< 0.1%
615000	88	< 0.1%

AlarmImmobiliser
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	976.8 KiB

True	999861
False	237

Value	Count	Frequency (%)
True	999861	> 99.9%
False	237	< 0.1%

TrackingDevice
Boolean

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	976.8 KiB

False	656617
True	343481

Value	Count	Frequency (%)
False	656617	65.7%
True	343481	34.3%

CapitalOutstanding
Unsupported

Rejected Unsupported

Missing	2
Missing (%)	< 0.1%
Memory size	7.6 MiB

NewVehicle
Categorical

Imbalance Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	153295
Missing (%)	15.3%
Memory size	7.6 MiB

More than 6 months	845223
Less than 6 months	1580

Length

Max length	18
Median length	18
Mean length	18
Min length	18

Characters and Unicode

Total characters	15242454
Distinct characters	13
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	More than 6 months
2nd row	More than 6 months
3rd row	More than 6 months
4th row	More than 6 months
5th row	More than 6 months

Common Values

Value	Count	Frequency (%)
More than 6 months	845223	84.5%
Less than 6 months	1580	0.2%
(Missing)	153295	15.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
than	846803	25.0%
months	846803	25.0%
6	846803	25.0%
more	845223	25.0%
less	1580	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
	2540409	16.7%
h	1693606	11.1%
n	1693606	11.1%
t	1693606	11.1%
o	1692026	11.1%
s	849963	5.6%
a	846803	5.6%
e	846803	5.6%
6	846803	5.6%
m	846803	5.6%
Other values (3)	1692026	11.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	15242454	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2540409	16.7%
h	1693606	11.1%
n	1693606	11.1%
t	1693606	11.1%
o	1692026	11.1%
s	849963	5.6%
a	846803	5.6%
e	846803	5.6%
6	846803	5.6%
m	846803	5.6%
Other values (3)	1692026	11.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	15242454	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2540409	16.7%
h	1693606	11.1%
n	1693606	11.1%
t	1693606	11.1%
o	1692026	11.1%
s	849963	5.6%
a	846803	5.6%
e	846803	5.6%
6	846803	5.6%
m	846803	5.6%
Other values (3)	1692026	11.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	15242454	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2540409	16.7%
h	1693606	11.1%
n	1693606	11.1%
t	1693606	11.1%
o	1692026	11.1%
s	849963	5.6%
a	846803	5.6%
e	846803	5.6%
6	846803	5.6%
m	846803	5.6%
Other values (3)	1692026	11.1%

WrittenOff
Boolean

High correlation Imbalance Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	641901
Missing (%)	64.2%
Memory size	1.9 MiB

False	358165
True	32
(Missing)	641901

Value	Count	Frequency (%)
False	358165	35.8%
True	32	< 0.1%
(Missing)	641901	64.2%

Rebuilt
Boolean

High correlation Imbalance Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	641901
Missing (%)	64.2%
Memory size	1.9 MiB

False	358165
True	32
(Missing)	641901

Value	Count	Frequency (%)
False	358165	35.8%
True	32	< 0.1%
(Missing)	641901	64.2%

Converted
Boolean

High correlation Imbalance Missing

Distinct	2
Distinct (%)	< 0.1%
Missing	641901
Missing (%)	64.2%
Memory size	1.9 MiB

False	358110
True	87
(Missing)	641901

Value	Count	Frequency (%)
False	358110	35.8%
True	87	< 0.1%
(Missing)	641901	64.2%

CrossBorder
Boolean

Constant Missing

Distinct	1
Distinct (%)	0.1%
Missing	999400
Missing (%)	99.9%
Memory size	1.9 MiB

False	698
(Missing)	999400

Value	Count	Frequency (%)
False	698	0.1%
(Missing)	999400	99.9%

NumberOfVehiclesInFleet
Unsupported

Missing Rejected Unsupported

Missing	1000098
Missing (%)	100.0%
Memory size	7.6 MiB

SumInsured
Real number (ℝ)

High correlation

Distinct	2186
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	604172.73

Minimum	0.01
Maximum	12636200
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	0.01
5-th percentile	0.01
Q1	5000
median	7500
Q3	250000
95-th percentile	5000000
Maximum	12636200
Range	12636200
Interquartile range (IQR)	245000

Descriptive statistics

Standard deviation	1508331.8
Coefficient of variation (CV)	2.4965242
Kurtosis	4.6451688
Mean	604172.73
Median Absolute Deviation (MAD)	4000
Skewness	2.5485649
Sum	6.0423194 × 10¹¹
Variance	2.2750649 × 10¹²
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
7500	262599	26.3%
0.01	107597	10.8%
5000000	104042	10.4%
500000	102921	10.3%
5000	102508	10.2%
3500	102416	10.2%
7000	64837	6.5%
100000	23214	2.3%
50000	6733	0.7%
200000	2150	0.2%
Other values (2176)	121081	12.1%

Value	Count	Frequency (%)
0.01	107597	10.8%
1000	10	< 0.1%
1500	281	< 0.1%
3500	102416	10.2%
5000	102508	10.2%
7000	64837	6.5%
7500	262599	26.3%
10000	655	0.1%
16300	12	< 0.1%
17900	25	< 0.1%

Value	Count	Frequency (%)
12636200	9	< 0.1%
12438200	10	< 0.1%
10000000	32	< 0.1%
5000000	104042	10.4%
4883300	10	< 0.1%
1500000	63	< 0.1%
715712	18	< 0.1%
689608	6	< 0.1%
675000	10	< 0.1%
670000	24	< 0.1%

TermFrequency
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Monthly	999554
Annual	544

Length

Max length	7
Median length	7
Mean length	6.9994561
Min length	6

Characters and Unicode

Total characters	7000142
Distinct characters	10
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Monthly
2nd row	Monthly
3rd row	Monthly
4th row	Monthly
5th row	Monthly

Common Values

Value	Count	Frequency (%)
Monthly	999554	99.9%
Annual	544	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
monthly	999554	99.9%
annual	544	0.1%

Most occurring characters

Value	Count	Frequency (%)
n	1000642	14.3%
l	1000098	14.3%
o	999554	14.3%
M	999554	14.3%
t	999554	14.3%
h	999554	14.3%
y	999554	14.3%
A	544	< 0.1%
u	544	< 0.1%
a	544	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	7000142	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
n	1000642	14.3%
l	1000098	14.3%
o	999554	14.3%
M	999554	14.3%
t	999554	14.3%
h	999554	14.3%
y	999554	14.3%
A	544	< 0.1%
u	544	< 0.1%
a	544	< 0.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	7000142	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
n	1000642	14.3%
l	1000098	14.3%
o	999554	14.3%
M	999554	14.3%
t	999554	14.3%
h	999554	14.3%
y	999554	14.3%
A	544	< 0.1%
u	544	< 0.1%
a	544	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	7000142	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
n	1000642	14.3%
l	1000098	14.3%
o	999554	14.3%
M	999554	14.3%
t	999554	14.3%
h	999554	14.3%
y	999554	14.3%
A	544	< 0.1%
u	544	< 0.1%
a	544	< 0.1%

CalculatedPremiumPerTerm
Real number (ℝ)

High correlation Skewed

Distinct	19869
Distinct (%)	2.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	117.87569

Minimum	0
Maximum	74422.168
Zeros	7
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	7.6 MiB

Quantile statistics

Minimum	0
5-th percentile	1.4339
Q1	3.2248
median	8.4369
Q3	90
95-th percentile	675.9028
Maximum	74422.168
Range	74422.168
Interquartile range (IQR)	86.7752

Descriptive statistics

Standard deviation	399.70172
Coefficient of variation (CV)	3.3908749
Kurtosis	22210.702
Mean	117.87569
Median Absolute Deviation (MAD)	7.4572
Skewness	122.97458
Sum	1.1788724 × 10⁸
Variance	159761.47
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25	81499	8.1%
85	59987	6.0%
90	53581	5.4%
50	27508	2.8%
18	25188	2.5%
105	4812	0.5%
110	4363	0.4%
5.5109	3924	0.4%
4.0413	3646	0.4%
1.837	3558	0.4%
Other values (19859)	732032	73.2%

Value	Count	Frequency (%)
0	7	< 0.1%
0.0002	269	< 0.1%
0.0004	227	< 0.1%
0.0005	122	< 0.1%
0.0006	334	< 0.1%
0.0007	124	< 0.1%
0.0257	22	< 0.1%
0.0271	20	< 0.1%
0.0273	20	< 0.1%
0.0276	12	< 0.1%

Value	Count	Frequency (%)
74422.1679	9	< 0.1%
73291.8087	10	< 0.1%
27899.6347	10	< 0.1%
3158.3967	9	< 0.1%
3110.4255	10	< 0.1%
3051.8211	7	< 0.1%
2568.9983	10	< 0.1%
2561.8622	12	< 0.1%
2383.4576	7	< 0.1%
2253.0115	12	< 0.1%

ExcessSelected
Categorical

High correlation Imbalance

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

No excess	791235
Mobility - Windscreen	97313
Mobility - Taxi with value more than R100 000 - R5 000	76424
Mobility - Taxi with value less than R100 000 - R3 000	15249
Mobility - Metered Taxis - R2000	6999
Other values (8)	12878

Length

Max length	62
Median length	9
Mean length	14.851594
Min length	9

Characters and Unicode

Total characters	14853049
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mobility - Windscreen
2nd row	Mobility - Windscreen
3rd row	Mobility - Windscreen
4th row	Mobility - Metered Taxis - R2000
5th row	Mobility - Metered Taxis - R2000

Common Values

Value	Count	Frequency (%)
No excess	791235	79.1%
Mobility - Windscreen	97313	9.7%
Mobility - Taxi with value more than R100 000 - R5 000	76424	7.6%
Mobility - Taxi with value less than R100 000 - R3 000	15249	1.5%
Mobility - Metered Taxis - R2000	6999	0.7%
Mobility - Windscreen (Feb2015)	6450	0.6%
Mobility - Taxi with value more than R100 000 - R5 000 (April)	3022	0.3%
Mobility - Metered Taxis - R5000	1704	0.2%
Mobility - Taxi with value more than R100 000 - R10 000	1108	0.1%
Mobility - R250	463	< 0.1%
Other values (3)	131	< 0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
no	791235	25.5%
excess	791235	25.5%
	313421	10.1%
mobility	208863	6.7%
000	191658	6.2%
windscreen	103763	3.3%
with	95855	3.1%
taxi	95855	3.1%
value	95855	3.1%
than	95855	3.1%
Other values (18)	323743	10.4%

Most occurring characters

Value	Count	Frequency (%)
	2107240	14.2%
e	2014341	13.6%
s	1725510	11.6%
o	1080710	7.3%
x	895793	6.0%
c	895001	6.0%
0	800918	5.4%
N	791235	5.3%
i	725000	4.9%
t	409279	2.8%
Other values (28)	3408022	22.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	14853049	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	2107240	14.2%
e	2014341	13.6%
s	1725510	11.6%
o	1080710	7.3%
x	895793	6.0%
c	895001	6.0%
0	800918	5.4%
N	791235	5.3%
i	725000	4.9%
t	409279	2.8%
Other values (28)	3408022	22.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	14853049	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	2107240	14.2%
e	2014341	13.6%
s	1725510	11.6%
o	1080710	7.3%
x	895793	6.0%
c	895001	6.0%
0	800918	5.4%
N	791235	5.3%
i	725000	4.9%
t	409279	2.8%
Other values (28)	3408022	22.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	14853049	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	2107240	14.2%
e	2014341	13.6%
s	1725510	11.6%
o	1080710	7.3%
x	895793	6.0%
c	895001	6.0%
0	800918	5.4%
N	791235	5.3%
i	725000	4.9%
t	409279	2.8%
Other values (28)	3408022	22.9%

CoverCategory
Categorical

High correlation

Distinct	28
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Passenger Liability	104158
Third Party	102825
Keys and Alarms	102428
Signage and Vehicle Wraps	102416
Emergency Charges	102416
Other values (23)	485855

Length

Max length	51
Median length	26
Mean length	18.254392
Min length	7

Characters and Unicode

Total characters	18256181
Distinct characters	49
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Windscreen
2nd row	Windscreen
3rd row	Windscreen
4th row	Own damage
5th row	Own damage

Common Values

Value	Count	Frequency (%)
Passenger Liability	104158	10.4%
Third Party	102825	10.3%
Keys and Alarms	102428	10.2%
Signage and Vehicle Wraps	102416	10.2%
Emergency Charges	102416	10.2%
Cleaning and Removal of Accident Debris	102414	10.2%
Windscreen	97313	9.7%
Own Damage	78981	7.9%
Income Protector	60001	6.0%
Basic Excess Waiver	53755	5.4%
Other values (18)	93391	9.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	307261	11.4%
liability	104702	3.9%
passenger	104702	3.9%
vehicle	104122	3.9%
windscreen	103763	3.9%
third	102888	3.8%
party	102888	3.8%
damage	102852	3.8%
own	102852	3.8%
keys	102428	3.8%
Other values (43)	1452587	54.0%

Most occurring characters

Value	Count	Frequency (%)
e	2002993	11.0%
	1769928	9.7%
a	1620739	8.9%
n	1350058	7.4%
i	1222879	6.7%
r	1155627	6.3%
s	1018388	5.6%
c	836848	4.6%
g	720955	3.9%
d	678865	3.7%
Other values (39)	5878901	32.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18256181	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2002993	11.0%
	1769928	9.7%
a	1620739	8.9%
n	1350058	7.4%
i	1222879	6.7%
r	1155627	6.3%
s	1018388	5.6%
c	836848	4.6%
g	720955	3.9%
d	678865	3.7%
Other values (39)	5878901	32.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18256181	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2002993	11.0%
	1769928	9.7%
a	1620739	8.9%
n	1350058	7.4%
i	1222879	6.7%
r	1155627	6.3%
s	1018388	5.6%
c	836848	4.6%
g	720955	3.9%
d	678865	3.7%
Other values (39)	5878901	32.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18256181	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2002993	11.0%
	1769928	9.7%
a	1620739	8.9%
n	1350058	7.4%
i	1222879	6.7%
r	1155627	6.3%
s	1018388	5.6%
c	836848	4.6%
g	720955	3.9%
d	678865	3.7%
Other values (39)	5878901	32.2%

CoverType
Categorical

High correlation

Distinct	22
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Own Damage	104183
Passenger Liability	104158
Windscreen	103763
Third Party	102825
Keys and Alarms	102428
Other values (17)	482741

Length

Max length	51
Median length	25
Mean length	18.035985
Min length	7

Characters and Unicode

Total characters	18037753
Distinct characters	42
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Windscreen
2nd row	Windscreen
3rd row	Windscreen
4th row	Own Damage
5th row	Own Damage

Common Values

Value	Count	Frequency (%)
Own Damage	104183	10.4%
Passenger Liability	104158	10.4%
Windscreen	103763	10.4%
Third Party	102825	10.3%
Keys and Alarms	102428	10.2%
Signage and Vehicle Wraps	102416	10.2%
Emergency Charges	102416	10.2%
Cleaning and Removal of Accident Debris	102414	10.2%
Income Protector	64813	6.5%
Basic Excess Waiver	57769	5.8%
Other values (12)	52913	5.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
and	307636	11.5%
passenger	104702	3.9%
liability	104702	3.9%
own	104183	3.9%
damage	104183	3.9%
windscreen	103763	3.9%
third	102888	3.8%
party	102888	3.8%
keys	102428	3.8%
alarms	102428	3.8%
Other values (40)	1432931	53.6%

Most occurring characters

Value	Count	Frequency (%)
e	1999956	11.1%
	1672634	9.3%
a	1623776	9.0%
n	1351610	7.5%
i	1221548	6.8%
r	1154296	6.4%
s	1018388	5.6%
c	835142	4.6%
g	722286	4.0%
d	670310	3.7%
Other values (32)	5767807	32.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	18037753	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	1999956	11.1%
	1672634	9.3%
a	1623776	9.0%
n	1351610	7.5%
i	1221548	6.8%
r	1154296	6.4%
s	1018388	5.6%
c	835142	4.6%
g	722286	4.0%
d	670310	3.7%
Other values (32)	5767807	32.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	18037753	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	1999956	11.1%
	1672634	9.3%
a	1623776	9.0%
n	1351610	7.5%
i	1221548	6.8%
r	1154296	6.4%
s	1018388	5.6%
c	835142	4.6%
g	722286	4.0%
d	670310	3.7%
Other values (32)	5767807	32.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	18037753	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	1999956	11.1%
	1672634	9.3%
a	1623776	9.0%
n	1351610	7.5%
i	1221548	6.8%
r	1154296	6.4%
s	1018388	5.6%
c	835142	4.6%
g	722286	4.0%
d	670310	3.7%
Other values (32)	5767807	32.0%

CoverGroup
Categorical

High correlation Imbalance

Distinct	14
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Comprehensive - Taxi	824124
Income Protector	64813
Basic Excess Waiver	57769
Accidental Death	27321
Credit Protection	18070
Other values (9)	8001

Length

Max length	30
Median length	20
Mean length	19.512876
Min length	7

Characters and Unicode

Total characters	19514788
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Comprehensive - Taxi
2nd row	Comprehensive - Taxi
3rd row	Comprehensive - Taxi
4th row	Comprehensive - Taxi
5th row	Comprehensive - Taxi

Common Values

Value	Count	Frequency (%)
Comprehensive - Taxi	824124	82.4%
Income Protector	64813	6.5%
Basic Excess Waiver	57769	5.8%
Accidental Death	27321	2.7%
Credit Protection	18070	1.8%
Motor Comprehensive	3941	0.4%
Deposit Cover	1299	0.1%
Asset Value Preserver	865	0.1%
Fire,Theft and Third Party	750	0.1%
Standalone passenger liability	544	0.1%
Other values (4)	602	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
comprehensive	828065	28.7%
	824124	28.6%
taxi	824124	28.6%
income	64813	2.2%
protector	64813	2.2%
basic	57769	2.0%
excess	57769	2.0%
waiver	57769	2.0%
accidental	27321	0.9%
death	27321	0.9%
Other values (20)	50925	1.8%

Most occurring characters

Value	Count	Frequency (%)
e	2830616	14.5%
	1884715	9.7%
i	1836049	9.4%
o	1069668	5.5%
r	1062507	5.4%
s	1006936	5.2%
a	1000082	5.1%
n	941005	4.8%
m	892878	4.6%
v	887998	4.6%
Other values (31)	6102334	31.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	19514788	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2830616	14.5%
	1884715	9.7%
i	1836049	9.4%
o	1069668	5.5%
r	1062507	5.4%
s	1006936	5.2%
a	1000082	5.1%
n	941005	4.8%
m	892878	4.6%
v	887998	4.6%
Other values (31)	6102334	31.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	19514788	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2830616	14.5%
	1884715	9.7%
i	1836049	9.4%
o	1069668	5.5%
r	1062507	5.4%
s	1006936	5.2%
a	1000082	5.1%
n	941005	4.8%
m	892878	4.6%
v	887998	4.6%
Other values (31)	6102334	31.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	19514788	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2830616	14.5%
	1884715	9.7%
i	1836049	9.4%
o	1069668	5.5%
r	1062507	5.4%
s	1006936	5.2%
a	1000082	5.1%
n	941005	4.8%
m	892878	4.6%
v	887998	4.6%
Other values (31)	6102334	31.3%

Section
Categorical

High correlation Imbalance

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Motor Comprehensive	828125
Optional Extended Covers	152530
Credit Protection	18070
Third party or third party, fire and theft only	829
Standalone passenger liability	544

Length

Max length	47
Median length	19
Mean length	19.755632
Min length	17

Characters and Unicode

Total characters	19757568
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Motor Comprehensive
2nd row	Motor Comprehensive
3rd row	Motor Comprehensive
4th row	Motor Comprehensive
5th row	Motor Comprehensive

Common Values

Value	Count	Frequency (%)
Motor Comprehensive	828125	82.8%
Optional Extended Covers	152530	15.3%
Credit Protection	18070	1.8%
Third party or third party, fire and theft only	829	0.1%
Standalone passenger liability	544	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
motor	828125	38.4%
comprehensive	828125	38.4%
optional	152530	7.1%
extended	152530	7.1%
covers	152530	7.1%
credit	18070	0.8%
protection	18070	0.8%
third	1658	0.1%
party	1658	0.1%
or	829	< 0.1%
Other values (7)	4948	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	2981395	15.1%
o	2827777	14.3%
r	1850438	9.4%
t	1192628	6.0%
	1158975	5.9%
n	1154545	5.8%
i	1020914	5.2%
C	998725	5.1%
p	982857	5.0%
s	981743	5.0%
Other values (19)	4607571	23.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	19757568	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	2981395	15.1%
o	2827777	14.3%
r	1850438	9.4%
t	1192628	6.0%
	1158975	5.9%
n	1154545	5.8%
i	1020914	5.2%
C	998725	5.1%
p	982857	5.0%
s	981743	5.0%
Other values (19)	4607571	23.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	19757568	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	2981395	15.1%
o	2827777	14.3%
r	1850438	9.4%
t	1192628	6.0%
	1158975	5.9%
n	1154545	5.8%
i	1020914	5.2%
C	998725	5.1%
p	982857	5.0%
s	981743	5.0%
Other values (19)	4607571	23.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	19757568	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	2981395	15.1%
o	2827777	14.3%
r	1850438	9.4%
t	1192628	6.0%
	1158975	5.9%
n	1154545	5.8%
i	1020914	5.2%
C	998725	5.1%
p	982857	5.0%
s	981743	5.0%
Other values (19)	4607571	23.3%

Product
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Mobility Commercial Cover: Monthly	915028
Mobility Metered Taxis: Monthly	79272
Bridge Taxi Finance: Monthly	5254
Standalone Passenger Liability	544

Length

Max length	34
Median length	34
Mean length	33.728511
Min length	28

Characters and Unicode

Total characters	33731816
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mobility Metered Taxis: Monthly
2nd row	Mobility Metered Taxis: Monthly
3rd row	Mobility Metered Taxis: Monthly
4th row	Mobility Metered Taxis: Monthly
5th row	Mobility Metered Taxis: Monthly

Common Values

Value	Count	Frequency (%)
Mobility Commercial Cover: Monthly	915028	91.5%
Mobility Metered Taxis: Monthly	79272	7.9%
Bridge Taxi Finance: Monthly	5254	0.5%
Standalone Passenger Liability	544	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
monthly	999554	25.0%
mobility	994300	24.9%
commercial	915028	22.9%
cover	915028	22.9%
metered	79272	2.0%
taxis	79272	2.0%
bridge	5254	0.1%
taxi	5254	0.1%
finance	5254	0.1%
standalone	544	< 0.1%
Other values (2)	1088	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
o	3824454	11.3%
i	3000294	8.9%
	2999750	8.9%
l	2909970	8.6%
e	2080012	6.2%
t	2074214	6.1%
M	2073126	6.1%
y	1994398	5.9%
r	1915126	5.7%
m	1830056	5.4%
Other values (18)	9030416	26.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	33731816	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
o	3824454	11.3%
i	3000294	8.9%
	2999750	8.9%
l	2909970	8.6%
e	2080012	6.2%
t	2074214	6.1%
M	2073126	6.1%
y	1994398	5.9%
r	1915126	5.7%
m	1830056	5.4%
Other values (18)	9030416	26.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	33731816	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
o	3824454	11.3%
i	3000294	8.9%
	2999750	8.9%
l	2909970	8.6%
e	2080012	6.2%
t	2074214	6.1%
M	2073126	6.1%
y	1994398	5.9%
r	1915126	5.7%
m	1830056	5.4%
Other values (18)	9030416	26.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	33731816	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
o	3824454	11.3%
i	3000294	8.9%
	2999750	8.9%
l	2909970	8.6%
e	2080012	6.2%
t	2074214	6.1%
M	2073126	6.1%
y	1994398	5.9%
r	1915126	5.7%
m	1830056	5.4%
Other values (18)	9030416	26.8%

StatutoryClass
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

Commercial	1000098

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	10000980
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Commercial
2nd row	Commercial
3rd row	Commercial
4th row	Commercial
5th row	Commercial

Common Values

Value	Count	Frequency (%)
Commercial	1000098	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
commercial	1000098	100.0%

Most occurring characters

Value	Count	Frequency (%)
m	2000196	20.0%
C	1000098	10.0%
o	1000098	10.0%
e	1000098	10.0%
r	1000098	10.0%
c	1000098	10.0%
i	1000098	10.0%
a	1000098	10.0%
l	1000098	10.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	10000980	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
m	2000196	20.0%
C	1000098	10.0%
o	1000098	10.0%
e	1000098	10.0%
r	1000098	10.0%
c	1000098	10.0%
i	1000098	10.0%
a	1000098	10.0%
l	1000098	10.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	10000980	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
m	2000196	20.0%
C	1000098	10.0%
o	1000098	10.0%
e	1000098	10.0%
r	1000098	10.0%
c	1000098	10.0%
i	1000098	10.0%
a	1000098	10.0%
l	1000098	10.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	10000980	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
m	2000196	20.0%
C	1000098	10.0%
o	1000098	10.0%
e	1000098	10.0%
r	1000098	10.0%
c	1000098	10.0%
i	1000098	10.0%
a	1000098	10.0%
l	1000098	10.0%

StatutoryRiskType
Categorical

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	7.6 MiB

IFRS Constant	1000098

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	13001274
Distinct characters	11
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	IFRS Constant
2nd row	IFRS Constant
3rd row	IFRS Constant
4th row	IFRS Constant
5th row	IFRS Constant

Common Values

Value	Count	Frequency (%)
IFRS Constant	1000098	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
ifrs	1000098	50.0%
constant	1000098	50.0%

Most occurring characters

Value	Count	Frequency (%)
t	2000196	15.4%
n	2000196	15.4%
I	1000098	7.7%
R	1000098	7.7%
F	1000098	7.7%
S	1000098	7.7%
	1000098	7.7%
o	1000098	7.7%
C	1000098	7.7%
s	1000098	7.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	13001274	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	2000196	15.4%
n	2000196	15.4%
I	1000098	7.7%
R	1000098	7.7%
F	1000098	7.7%
S	1000098	7.7%
	1000098	7.7%
o	1000098	7.7%
C	1000098	7.7%
s	1000098	7.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	13001274	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	2000196	15.4%
n	2000196	15.4%
I	1000098	7.7%
R	1000098	7.7%
F	1000098	7.7%
S	1000098	7.7%
	1000098	7.7%
o	1000098	7.7%
C	1000098	7.7%
s	1000098	7.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	13001274	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	2000196	15.4%
n	2000196	15.4%
I	1000098	7.7%
R	1000098	7.7%
F	1000098	7.7%
S	1000098	7.7%
	1000098	7.7%
o	1000098	7.7%
C	1000098	7.7%
s	1000098	7.7%

TotalPremium
Real number (ℝ)

High correlation Skewed Zeros

Distinct	38959
Distinct (%)	3.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	61.905496

Minimum	-782.57675
Maximum	65282.603
Zeros	381634
Zeros (%)	38.2%
Negative	288
Negative (%)	< 0.1%
Memory size	7.6 MiB

Quantile statistics

Minimum	-782.57675
5-th percentile	0
Q1	0
median	2.1783333
Q3	21.929825
95-th percentile	404.87798
Maximum	65282.603
Range	66065.18
Interquartile range (IQR)	21.929825

Descriptive statistics

Standard deviation	230.28451
Coefficient of variation (CV)	3.7199365
Kurtosis	37176.185
Mean	61.905496
Median Absolute Deviation (MAD)	2.1783333
Skewness	138.59646
Sum	61911563
Variance	53030.957
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	381634	38.2%
21.92982456	49731	5.0%
74.56140351	34382	3.4%
78.94736842	30400	3.0%
43.85964912	16919	1.7%
15.78947368	10939	1.1%
92.10526316	3424	0.3%
96.49122807	2921	0.3%
4.834122807	2443	0.2%
1.933684211	2272	0.2%
Other values (38949)	465033	46.5%

Value	Count	Frequency (%)
-782.5767544	11	< 0.1%
-575.5796491	11	< 0.1%
-350.7014912	11	< 0.1%
-302.9329372	1	< 0.1%
-294.7868421	11	< 0.1%
-284.497807	12	< 0.1%
-222.8050255	1	< 0.1%
-135.755416	1	< 0.1%
-114.1110357	1	< 0.1%
-96.49122807	1	< 0.1%

Value	Count	Frequency (%)
65282.60342	4	< 0.1%
64291.06026	1	< 0.1%
60143.24992	1	< 0.1%
24473.36377	6	< 0.1%
4211.780866	1	< 0.1%
2770.523421	4	< 0.1%
2728.443421	1	< 0.1%
2552.414813	1	< 0.1%
2253.507281	10	< 0.1%
1890.948684	6	< 0.1%

TotalClaims
Real number (ℝ)

Skewed Zeros

Distinct	1615
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	64.86119

Minimum	-12002.412
Maximum	393092.11
Zeros	997305
Zeros (%)	99.7%
Negative	5
Negative (%)	< 0.1%
Memory size	7.6 MiB

Quantile statistics

Minimum	-12002.412
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	393092.11
Range	405094.52
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2384.0747
Coefficient of variation (CV)	36.756567
Kurtosis	6791.9262
Mean	64.86119
Median Absolute Deviation (MAD)	0
Skewness	69.933118
Sum	64867546
Variance	5683812.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	997305	99.7%
6140.350877	326	< 0.1%
750.6491228	101	< 0.1%
1300	59	< 0.1%
850	51	< 0.1%
877.1929825	45	< 0.1%
43859.64912	41	< 0.1%
1150	31	< 0.1%
3070.175439	28	< 0.1%
815.7894737	24	< 0.1%
Other values (1605)	2087	0.2%

Value	Count	Frequency (%)
-12002.41228	1	< 0.1%
-5690.719298	1	< 0.1%
-635.48	1	< 0.1%
-256.35	1	< 0.1%
-72	1	< 0.1%
0	997305	99.7%
139.0438596	2	< 0.1%
158.51	1	< 0.1%
170.6578947	2	< 0.1%
175.4385965	4	< 0.1%

Value	Count	Frequency (%)
393092.1053	1	< 0.1%
376432.4912	1	< 0.1%
363343.4211	1	< 0.1%
304413.3947	1	< 0.1%
304338.6579	1	< 0.1%
302361.1491	1	< 0.1%
286686.4311	1	< 0.1%
276248.8596	1	< 0.1%
269311.9298	1	< 0.1%
265789.4737	1	< 0.1%

Interactions

Correlations

	AccountType	AlarmImmobiliser	Bank	CalculatedPremiumPerTerm	Citizenship	Converted	CoverCategory	CoverGroup	CoverType	CustomValueEstimate	Cylinders	ExcessSelected	Gender	IsVATRegistered	LegalType	MainCrestaZone	MaritalStatus	NewVehicle	NumberOfDoors	PolicyID	PostalCode	Product	Province	Rebuilt	RegistrationYear	Section	SubCrestaZone	SumInsured	TermFrequency	Title	TotalClaims	TotalPremium	TrackingDevice	TransactionMonth	UnderwrittenCoverID	VehicleType	WrittenOff	bodytype	cubiccapacity	kilowatts	make	mmcode
AccountType	1.000	0.012	0.303	0.003	0.044	1.000	0.071	0.066	0.059	0.015	0.026	0.035	0.065	0.056	0.158	0.155	0.030	0.006	0.059	0.103	0.131	0.085	0.135	1.000	0.054	0.053	0.182	0.006	0.012	0.034	0.002	0.001	0.096	0.056	0.098	0.027	1.000	0.088	0.049	0.057	0.083	0.064
AlarmImmobiliser	0.012	1.000	0.022	0.000	0.005	0.000	0.005	0.004	0.003	0.000	0.002	0.005	0.003	0.000	0.004	0.121	0.000	0.000	0.037	0.039	0.056	0.004	0.042	0.000	0.107	0.004	0.121	0.000	0.000	0.004	0.000	0.000	0.005	0.008	0.032	0.099	0.000	0.210	0.014	0.082	0.122	0.044
Bank	0.303	0.022	1.000	0.006	0.159	1.000	0.128	0.194	0.085	0.048	0.036	0.031	0.050	0.114	0.189	0.118	0.057	0.028	0.053	0.071	0.102	0.376	0.092	1.000	0.083	0.128	0.150	0.019	0.011	0.060	0.001	0.003	0.075	0.028	0.064	0.038	1.000	0.059	0.060	0.062	0.246	0.219
CalculatedPremiumPerTerm	0.003	0.000	0.006	1.000	0.000	1.000	0.040	0.000	0.010	0.162	0.012	0.048	0.000	0.000	0.012	0.011	0.000	0.000	-0.032	0.058	0.010	0.013	0.008	1.000	0.147	0.000	0.010	0.249	0.000	0.000	0.052	0.395	0.004	0.000	0.056	1.000	1.000	1.000	0.089	0.056	1.000	0.084
Citizenship	0.044	0.005	0.159	0.000	1.000	0.006	0.076	0.105	0.048	0.003	0.022	0.032	0.382	0.024	0.042	0.105	0.256	0.006	0.129	0.243	0.110	0.142	0.093	0.003	0.039	0.022	0.139	0.005	0.006	0.059	0.000	0.000	0.125	0.160	0.255	0.025	0.003	0.103	0.042	0.034	0.291	0.131
Converted	1.000	0.000	1.000	1.000	0.006	1.000	0.000	0.000	0.000	1.000	0.075	0.006	0.002	0.000	0.004	0.126	0.000	0.000	0.065	0.035	0.059	0.002	0.126	0.597	0.016	0.002	0.193	0.000	0.000	0.003	0.000	1.000	0.008	0.012	0.048	0.040	0.597	0.055	0.002	0.000	0.211	0.048
CoverCategory	0.071	0.005	0.128	0.040	0.076	0.000	1.000	0.943	0.988	0.002	0.023	0.816	0.081	0.062	0.083	0.065	0.075	0.069	0.076	0.105	0.074	0.684	0.071	0.004	0.093	0.909	0.074	0.706	1.000	0.029	0.028	0.026	0.134	0.044	0.113	0.036	0.004	0.115	0.073	0.077	0.078	0.104
CoverGroup	0.066	0.004	0.194	0.000	0.105	0.000	0.943	1.000	0.941	0.006	0.016	0.415	0.038	0.075	0.102	0.069	0.074	0.069	0.024	0.056	0.073	0.769	0.063	0.000	0.063	0.998	0.103	0.508	1.000	0.022	0.003	0.000	0.115	0.020	0.051	0.029	0.000	0.044	0.034	0.031	0.146	0.151
CoverType	0.059	0.003	0.085	0.010	0.048	0.000	0.988	0.941	1.000	0.002	0.019	0.646	0.067	0.055	0.049	0.056	0.074	0.069	0.037	0.050	0.062	0.598	0.059	0.000	0.053	0.940	0.076	0.706	1.000	0.022	0.027	0.006	0.111	0.029	0.054	0.029	0.000	0.074	0.032	0.038	0.055	0.062
CustomValueEstimate	0.015	0.000	0.048	0.162	0.003	1.000	0.002	0.006	0.002	1.000	0.049	0.000	0.000	0.000	0.001	0.046	0.000	0.000	-0.023	0.012	0.029	0.001	0.036	1.000	0.893	0.006	0.061	0.025	0.000	0.002	0.004	0.077	0.019	0.000	0.049	0.054	1.000	0.155	0.255	0.154	0.068	0.319
Cylinders	0.026	0.002	0.036	0.012	0.022	0.075	0.023	0.016	0.019	0.049	1.000	0.017	0.013	0.128	0.180	0.048	0.019	0.008	-0.314	-0.021	-0.037	0.060	0.054	0.000	-0.069	0.013	0.072	0.002	0.018	0.031	-0.000	-0.002	0.038	0.041	-0.021	0.477	0.000	0.408	0.190	0.255	0.605	-0.071
ExcessSelected	0.035	0.005	0.031	0.048	0.032	0.006	0.816	0.415	0.646	0.000	0.017	1.000	0.051	0.015	0.046	0.041	0.049	0.006	0.070	0.096	0.041	0.200	0.041	0.014	0.075	0.125	0.056	0.092	0.011	0.017	0.031	0.035	0.073	0.040	0.107	0.033	0.014	0.096	0.064	0.070	0.070	0.055
Gender	0.065	0.003	0.050	0.000	0.382	0.002	0.081	0.038	0.067	0.000	0.013	0.051	1.000	0.016	0.071	0.131	0.276	0.008	0.038	0.244	0.108	0.130	0.101	0.000	0.044	0.018	0.214	0.003	0.003	0.330	0.000	0.000	0.095	0.241	0.260	0.017	0.000	0.174	0.044	0.041	0.112	0.059
IsVATRegistered	0.056	0.000	0.114	0.000	0.024	0.000	0.062	0.075	0.055	0.000	0.128	0.015	0.016	1.000	0.299	0.289	0.005	0.002	0.015	0.118	0.142	0.064	0.088	0.000	0.076	0.051	0.289	0.000	0.001	0.019	0.000	0.000	0.001	0.047	0.125	0.019	0.000	0.067	0.157	0.110	0.413	0.303
LegalType	0.158	0.004	0.189	0.012	0.042	0.004	0.083	0.102	0.049	0.001	0.180	0.046	0.071	0.299	1.000	0.156	0.059	0.008	0.115	0.099	0.137	0.205	0.136	0.000	0.034	0.043	0.172	0.012	0.008	0.039	0.000	0.008	0.096	0.060	0.096	0.145	0.000	0.158	0.134	0.187	0.283	0.172
MainCrestaZone	0.155	0.121	0.118	0.011	0.105	0.126	0.065	0.069	0.056	0.046	0.048	0.041	0.131	0.289	0.156	1.000	0.121	0.041	0.085	0.144	0.807	0.172	0.827	0.020	0.081	0.043	1.000	0.056	0.026	0.079	0.002	0.006	0.229	0.053	0.146	0.062	0.020	0.104	0.086	0.103	0.112	0.102
MaritalStatus	0.030	0.000	0.057	0.000	0.256	0.000	0.075	0.074	0.074	0.000	0.019	0.049	0.276	0.005	0.059	0.121	1.000	0.001	0.022	0.097	0.118	0.028	0.104	0.000	0.029	0.012	0.144	0.000	0.001	0.061	0.000	0.000	0.048	0.066	0.080	0.011	0.000	0.061	0.018	0.022	0.102	0.081
NewVehicle	0.006	0.000	0.028	0.000	0.006	0.000	0.069	0.069	0.069	0.000	0.008	0.006	0.008	0.002	0.008	0.041	0.001	1.000	0.010	0.034	0.046	0.003	0.038	0.000	0.055	0.010	0.117	0.000	0.000	0.019	0.000	0.000	0.017	0.014	0.053	0.004	0.000	0.025	0.025	0.024	0.146	0.017
NumberOfDoors	0.059	0.037	0.053	-0.032	0.129	0.065	0.076	0.024	0.037	-0.023	-0.314	0.070	0.038	0.015	0.115	0.085	0.022	0.010	1.000	-0.066	0.093	0.258	0.076	0.000	0.071	0.020	0.107	-0.005	0.017	0.022	0.001	-0.033	0.037	0.035	-0.049	0.399	0.000	0.510	-0.303	-0.193	0.554	-0.171
PolicyID	0.103	0.039	0.071	0.058	0.243	0.035	0.105	0.056	0.050	0.012	-0.021	0.096	0.244	0.118	0.099	0.144	0.097	0.034	-0.066	1.000	0.047	0.160	0.129	0.032	0.086	0.045	0.187	0.012	0.025	0.071	0.002	0.173	0.294	0.229	0.930	0.036	0.032	0.091	0.066	-0.032	0.098	0.098
PostalCode	0.131	0.056	0.102	0.010	0.110	0.059	0.074	0.073	0.062	0.029	-0.037	0.041	0.108	0.142	0.137	0.807	0.118	0.046	0.093	0.047	1.000	0.154	0.746	0.019	0.013	0.043	0.944	0.006	0.027	0.065	-0.006	-0.007	0.218	0.061	0.060	0.068	0.019	0.112	-0.152	-0.214	0.129	-0.122
Product	0.085	0.004	0.376	0.013	0.142	0.002	0.684	0.769	0.598	0.001	0.060	0.200	0.130	0.064	0.205	0.172	0.028	0.003	0.258	0.160	0.154	1.000	0.137	0.000	0.100	0.584	0.181	0.046	1.000	0.041	0.001	0.008	0.063	0.126	0.143	0.045	0.000	0.529	0.185	0.205	0.438	0.323
Province	0.135	0.042	0.092	0.008	0.093	0.126	0.071	0.063	0.059	0.036	0.054	0.041	0.101	0.088	0.136	0.827	0.104	0.038	0.076	0.129	0.746	0.137	1.000	0.011	0.074	0.037	0.945	0.018	0.025	0.070	0.002	0.005	0.201	0.063	0.125	0.074	0.011	0.112	0.082	0.092	0.123	0.085
Rebuilt	1.000	0.000	1.000	1.000	0.003	0.597	0.004	0.000	0.000	1.000	0.000	0.014	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.032	0.019	0.000	0.011	1.000	0.012	0.003	0.018	0.000	0.000	0.000	0.000	1.000	0.007	0.006	0.030	0.000	0.984	0.059	0.009	0.010	0.338	0.000
RegistrationYear	0.054	0.107	0.083	0.147	0.039	0.016	0.093	0.063	0.053	0.893	-0.069	0.075	0.044	0.076	0.034	0.081	0.029	0.055	0.071	0.086	0.013	0.100	0.074	0.012	1.000	0.077	0.102	0.026	0.115	0.043	0.000	0.057	0.223	0.033	0.098	0.060	0.012	0.072	0.112	0.096	0.140	0.246
Section	0.053	0.004	0.128	0.000	0.022	0.002	0.909	0.998	0.940	0.006	0.013	0.125	0.018	0.051	0.043	0.043	0.012	0.010	0.020	0.045	0.043	0.584	0.037	0.003	0.077	1.000	0.064	0.162	1.000	0.016	0.005	0.000	0.104	0.027	0.045	0.008	0.003	0.046	0.022	0.024	0.080	0.058
SubCrestaZone	0.182	0.121	0.150	0.010	0.139	0.193	0.074	0.103	0.076	0.061	0.072	0.056	0.214	0.289	0.172	1.000	0.144	0.117	0.107	0.187	0.944	0.181	0.945	0.018	0.102	0.064	1.000	0.124	0.041	0.166	0.000	0.004	0.269	0.057	0.187	0.098	0.018	0.123	0.112	0.121	0.095	0.138
SumInsured	0.006	0.000	0.019	0.249	0.005	0.000	0.706	0.508	0.706	0.025	0.002	0.092	0.003	0.000	0.012	0.056	0.000	0.000	-0.005	0.012	0.006	0.046	0.018	0.000	0.026	0.162	0.124	1.000	0.068	0.000	-0.007	0.101	0.012	0.003	0.012	0.010	0.000	0.015	0.013	0.004	0.129	0.010
TermFrequency	0.012	0.000	0.011	0.000	0.006	0.000	1.000	1.000	1.000	0.000	0.018	0.011	0.003	0.001	0.008	0.026	0.001	0.000	0.017	0.025	0.027	1.000	0.025	0.000	0.115	1.000	0.041	0.068	1.000	0.004	0.000	0.000	0.013	0.019	0.018	0.004	0.000	0.014	0.014	0.017	0.080	0.009
Title	0.034	0.004	0.060	0.000	0.059	0.003	0.029	0.022	0.022	0.002	0.031	0.017	0.330	0.019	0.039	0.079	0.061	0.019	0.022	0.071	0.065	0.041	0.070	0.000	0.043	0.016	0.166	0.000	0.004	1.000	0.000	0.000	0.081	0.040	0.063	0.013	0.000	0.074	0.021	0.029	0.060	0.038
TotalClaims	0.002	0.000	0.001	0.052	0.000	0.000	0.028	0.003	0.027	0.004	-0.000	0.031	0.000	0.000	0.000	0.002	0.000	0.000	0.001	0.002	-0.006	0.001	0.002	0.000	0.000	0.005	0.000	-0.007	0.000	0.000	1.000	0.063	0.003	0.002	0.003	0.003	0.000	0.006	0.006	0.006	0.000	0.005
TotalPremium	0.001	0.000	0.003	0.395	0.000	1.000	0.026	0.000	0.006	0.077	-0.002	0.035	0.000	0.000	0.008	0.006	0.000	0.000	-0.033	0.173	-0.007	0.008	0.005	1.000	0.057	0.000	0.004	0.101	0.000	0.000	0.063	1.000	0.002	0.000	0.189	1.000	1.000	1.000	0.087	0.048	1.000	0.079
TrackingDevice	0.096	0.005	0.075	0.004	0.125	0.008	0.134	0.115	0.111	0.019	0.038	0.073	0.095	0.001	0.096	0.229	0.048	0.017	0.037	0.294	0.218	0.063	0.201	0.007	0.223	0.104	0.269	0.012	0.013	0.081	0.003	0.002	1.000	0.197	0.290	0.021	0.007	0.076	0.063	0.064	0.115	0.072
TransactionMonth	0.056	0.008	0.028	0.000	0.160	0.012	0.044	0.020	0.029	0.000	0.041	0.040	0.241	0.047	0.060	0.053	0.066	0.014	0.035	0.229	0.061	0.126	0.063	0.006	0.033	0.027	0.057	0.003	0.019	0.040	0.002	0.000	0.197	1.000	0.255	0.015	0.006	0.070	0.040	0.046	0.043	0.045
UnderwrittenCoverID	0.098	0.032	0.064	0.056	0.255	0.048	0.113	0.051	0.054	0.049	-0.021	0.107	0.260	0.125	0.096	0.146	0.080	0.053	-0.049	0.930	0.060	0.143	0.125	0.030	0.098	0.045	0.187	0.012	0.018	0.063	0.003	0.189	0.290	0.255	1.000	0.041	0.030	0.091	0.056	-0.041	0.096	0.089
VehicleType	0.027	0.099	0.038	1.000	0.025	0.040	0.036	0.029	0.029	0.054	0.477	0.033	0.017	0.019	0.145	0.062	0.011	0.004	0.399	0.036	0.068	0.045	0.074	0.000	0.060	0.008	0.098	0.010	0.004	0.013	0.003	1.000	0.021	0.015	0.041	1.000	0.000	0.572	0.260	0.387	0.801	0.502
WrittenOff	1.000	0.000	1.000	1.000	0.003	0.597	0.004	0.000	0.000	1.000	0.000	0.014	0.000	0.000	0.000	0.020	0.000	0.000	0.000	0.032	0.019	0.000	0.011	0.984	0.012	0.003	0.018	0.000	0.000	0.000	0.000	1.000	0.007	0.006	0.030	0.000	1.000	0.059	0.009	0.010	0.338	0.000
bodytype	0.088	0.210	0.059	1.000	0.103	0.055	0.115	0.044	0.074	0.155	0.408	0.096	0.174	0.067	0.158	0.104	0.061	0.025	0.510	0.091	0.112	0.529	0.112	0.059	0.072	0.046	0.123	0.015	0.014	0.074	0.006	1.000	0.076	0.070	0.091	0.572	0.059	1.000	0.458	0.402	0.521	0.296
cubiccapacity	0.049	0.014	0.060	0.089	0.042	0.002	0.073	0.034	0.032	0.255	0.190	0.064	0.044	0.157	0.134	0.086	0.018	0.025	-0.303	0.066	-0.152	0.185	0.082	0.009	0.112	0.022	0.112	0.013	0.014	0.021	0.006	0.087	0.063	0.040	0.056	0.260	0.009	0.458	1.000	0.745	0.575	0.666
kilowatts	0.057	0.082	0.062	0.056	0.034	0.000	0.077	0.031	0.038	0.154	0.255	0.070	0.041	0.110	0.187	0.103	0.022	0.024	-0.193	-0.032	-0.214	0.205	0.092	0.010	0.096	0.024	0.121	0.004	0.017	0.029	0.006	0.048	0.064	0.046	-0.041	0.387	0.010	0.402	0.745	1.000	0.534	0.540
make	0.083	0.122	0.246	1.000	0.291	0.211	0.078	0.146	0.055	0.068	0.605	0.070	0.112	0.413	0.283	0.112	0.102	0.146	0.554	0.098	0.129	0.438	0.123	0.338	0.140	0.080	0.095	0.129	0.080	0.060	0.000	1.000	0.115	0.043	0.096	0.801	0.338	0.521	0.575	0.534	1.000	1.000
mmcode	0.064	0.044	0.219	0.084	0.131	0.048	0.104	0.151	0.062	0.319	-0.071	0.055	0.059	0.303	0.172	0.102	0.081	0.017	-0.171	0.098	-0.122	0.323	0.085	0.000	0.246	0.058	0.138	0.010	0.009	0.038	0.005	0.079	0.072	0.045	0.089	0.502	0.000	0.296	0.666	0.540	1.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	UnderwrittenCoverID	PolicyID	TransactionMonth	IsVATRegistered	LegalType	Title	Language	Bank	AccountType	MaritalStatus	Gender	Country	Province	PostalCode	MainCrestaZone	SubCrestaZone	ItemType	mmcode	VehicleType	RegistrationYear	make	Model	Cylinders	cubiccapacity	kilowatts	bodytype	NumberOfDoors	VehicleIntroDate	CustomValueEstimate	AlarmImmobiliser	TrackingDevice	CapitalOutstanding	NewVehicle	WrittenOff	Rebuilt	Converted	CrossBorder	NumberOfVehiclesInFleet	SumInsured	TermFrequency	CalculatedPremiumPerTerm	ExcessSelected	CoverCategory	CoverType	CoverGroup	Section	Product	StatutoryClass	StatutoryRiskType	TotalPremium
0	145249	12827	2015-03-01 00:00:00	True	Close Corporation	Mr	English	First National Bank	Current account	Not specified	Not specified	South Africa	Gauteng	1459	Rand East	Rand East	Mobility - Motor	44069150.0	Passenger Vehicle	2004	MERCEDES-BENZ	E 240	6.0	2597.0	130.0	S/D	4.0	6/2002	119300.0	Yes	No	119300	More than 6 months	NaN	NaN	NaN	NaN	NaN	0.01	Monthly	25.0000	Mobility - Windscreen	Windscreen	Windscreen	Comprehensive - Taxi	Motor Comprehensive	Mobility Metered Taxis: Monthly	Commercial	IFRS Constant	21.929825
1	145249	12827	2015-05-01 00:00:00	True	Close Corporation	Mr	English	First National Bank	Current account	Not specified	Not specified	South Africa	Gauteng	1459	Rand East	Rand East	Mobility - Motor	44069150.0	Passenger Vehicle	2004	MERCEDES-BENZ	E 240	6.0	2597.0	130.0	S/D	4.0	6/2002	119300.0	Yes	No	119300	More than 6 months	NaN	NaN	NaN	NaN	NaN	0.01	Monthly	25.0000	Mobility - Windscreen	Windscreen	Windscreen	Comprehensive - Taxi	Motor Comprehensive	Mobility Metered Taxis: Monthly	Commercial	IFRS Constant	21.929825
2	145249	12827	2015-07-01 00:00:00	True	Close Corporation	Mr	English	First National Bank	Current account	Not specified	Not specified	South Africa	Gauteng	1459	Rand East	Rand East	Mobility - Motor	44069150.0	Passenger Vehicle	2004	MERCEDES-BENZ	E 240	6.0	2597.0	130.0	S/D	4.0	6/2002	119300.0	Yes	No	119300	More than 6 months	NaN	NaN	NaN	NaN	NaN	0.01	Monthly	25.0000	Mobility - Windscreen	Windscreen	Windscreen	Comprehensive - Taxi	Motor Comprehensive	Mobility Metered Taxis: Monthly	Commercial	IFRS Constant	0.000000
3	145255	12827	2015-05-01 00:00:00	True	Close Corporation	Mr	English	First National Bank	Current account	Not specified	Not specified	South Africa	Gauteng	1459	Rand East	Rand East	Mobility - Motor	44069150.0	Passenger Vehicle	2004	MERCEDES-BENZ	E 240	6.0	2597.0	130.0	S/D	4.0	6/2002	119300.0	Yes	No	119300	More than 6 months	NaN	NaN	NaN	NaN	NaN	119300.00	Monthly	584.6468	Mobility - Metered Taxis - R2000	Own damage	Own Damage	Comprehensive - Taxi	Motor Comprehensive	Mobility Metered Taxis: Monthly	Commercial	IFRS Constant	512.848070
4	145255	12827	2015-07-01 00:00:00	True	Close Corporation	Mr	English	First National Bank	Current account	Not specified	Not specified	South Africa	Gauteng	1459	Rand East	Rand East	Mobility - Motor	44069150.0	Passenger Vehicle	2004	MERCEDES-BENZ	E 240	6.0	2597.0	130.0	S/D	4.0	6/2002	119300.0	Yes	No	119300	More than 6 months	NaN	NaN	NaN	NaN	NaN	119300.00	Monthly	584.6468	Mobility - Metered Taxis - R2000	Own damage	Own Damage	Comprehensive - Taxi	Motor Comprehensive	Mobility Metered Taxis: Monthly	Commercial	IFRS Constant	0.000000
5	145247	12827	2015-01-01 00:00:00	True	Close Corporation	Mr	English	First National Bank	Current account	Not specified	Not specified	South Africa	Gauteng	1459	Rand East	Rand East	Mobility - Motor	44069150.0	Passenger Vehicle	2004	MERCEDES-BENZ	E 240	6.0	2597.0	130.0	S/D	4.0	6/2002	119300.0	Yes	No	119300	More than 6 months	NaN	NaN	NaN	NaN	NaN	500000.00	Monthly	57.5412	No excess	Third Party	Third Party	Comprehensive - Taxi	Motor Comprehensive	Mobility Metered Taxis: Monthly	Commercial	IFRS Constant	3.256435
6	145247	12827	2015-04-01 00:00:00	True	Close Corporation	Mr	English	First National Bank	Current account	Not specified	Not specified	South Africa	Gauteng	1459	Rand East	Rand East	Mobility - Motor	44069150.0	Passenger Vehicle	2004	MERCEDES-BENZ	E 240	6.0	2597.0	130.0	S/D	4.0	6/2002	119300.0	Yes	No	119300	More than 6 months	NaN	NaN	NaN	NaN	NaN	500000.00	Monthly	57.5412	No excess	Third Party	Third Party	Comprehensive - Taxi	Motor Comprehensive	Mobility Metered Taxis: Monthly	Commercial	IFRS Constant	50.474737
7	145247	12827	2015-06-01 00:00:00	True	Close Corporation	Mr	English	First National Bank	Current account	Not specified	Not specified	South Africa	Gauteng	1459	Rand East	Rand East	Mobility - Motor	44069150.0	Passenger Vehicle	2004	MERCEDES-BENZ	E 240	6.0	2597.0	130.0	S/D	4.0	6/2002	119300.0	Yes	No	119300	More than 6 months	NaN	NaN	NaN	NaN	NaN	500000.00	Monthly	57.5412	No excess	Third Party	Third Party	Comprehensive - Taxi	Motor Comprehensive	Mobility Metered Taxis: Monthly	Commercial	IFRS Constant	35.332316
8	145247	12827	2015-08-01 00:00:00	True	Close Corporation	Mr	English	First National Bank	Current account	Not specified	Not specified	South Africa	Gauteng	1459	Rand East	Rand East	Mobility - Motor	44069150.0	Passenger Vehicle	2004	MERCEDES-BENZ	E 240	6.0	2597.0	130.0	S/D	4.0	6/2002	119300.0	Yes	No	119300	More than 6 months	NaN	NaN	NaN	NaN	NaN	500000.00	Monthly	57.5412	No excess	Third Party	Third Party	Comprehensive - Taxi	Motor Comprehensive	Mobility Metered Taxis: Monthly	Commercial	IFRS Constant	0.000000
9	145245	12827	2015-03-01 00:00:00	True	Close Corporation	Mr	English	First National Bank	Current account	Not specified	Not specified	South Africa	Gauteng	1459	Rand East	Rand East	Mobility - Motor	44069150.0	Passenger Vehicle	2004	MERCEDES-BENZ	E 240	6.0	2597.0	130.0	S/D	4.0	6/2002	119300.0	Yes	No	119300	More than 6 months	NaN	NaN	NaN	NaN	NaN	5000000.00	Monthly	1.1508	No excess	Passenger Liability	Passenger Liability	Comprehensive - Taxi	Motor Comprehensive	Mobility Metered Taxis: Monthly	Commercial	IFRS Constant	1.009474

	UnderwrittenCoverID	PolicyID	TransactionMonth	IsVATRegistered	Citizenship	LegalType	Title	Language	Bank	AccountType	MaritalStatus	Gender	Country	Province	PostalCode	MainCrestaZone	SubCrestaZone	ItemType	mmcode	VehicleType	RegistrationYear	make	Model	Cylinders	cubiccapacity	kilowatts	bodytype	NumberOfDoors	VehicleIntroDate	CustomValueEstimate	AlarmImmobiliser	TrackingDevice	NewVehicle	WrittenOff	Rebuilt	Converted	CrossBorder	NumberOfVehiclesInFleet	SumInsured	TermFrequency	CalculatedPremiumPerTerm	ExcessSelected	CoverCategory	CoverType	CoverGroup	Section	Product	StatutoryClass	StatutoryRiskType	TotalPremium
1000088	31528	389	2015-05-01 00:00:00	False	ZW	Individual	Mr	English	ABSA Bank	Savings account	Single	Male	South Africa	Western Cape	7493	Karoo 1 (Northeast of Cape Town)	Northeast of CT	Mobility - Motor	4614100.0	Passenger Vehicle	2013	B.A.W	SASUKA 2.7i (16 SEAT)	4.0	2693.0	110.0	B/S	4.0	2013/01/01 12:00:00 AM	NaN	Yes	No	More than 6 months	No	No	No	NaN	NaN	318300.0	Monthly	828.1121	Mobility - Taxi with value more than R100 000 - R5 000	Own Damage	Own Damage	Comprehensive - Taxi	Motor Comprehensive	Mobility Commercial Cover: Monthly	Commercial	IFRS Constant	726.414123
1000089	31528	389	2015-07-01 00:00:00	False	ZW	Individual	Mr	English	ABSA Bank	Savings account	Single	Male	South Africa	Western Cape	7493	Karoo 1 (Northeast of Cape Town)	Northeast of CT	Mobility - Motor	4614100.0	Passenger Vehicle	2013	B.A.W	SASUKA 2.7i (16 SEAT)	4.0	2693.0	110.0	B/S	4.0	2013/01/01 12:00:00 AM	NaN	Yes	No	More than 6 months	No	No	No	NaN	NaN	318300.0	Monthly	828.1121	Mobility - Taxi with value more than R100 000 - R5 000	Own Damage	Own Damage	Comprehensive - Taxi	Motor Comprehensive	Mobility Commercial Cover: Monthly	Commercial	IFRS Constant	726.414123
1000090	31520	389	2014-09-01 00:00:00	False	ZW	Individual	Mr	English	ABSA Bank	Savings account	Single	Male	South Africa	Western Cape	7493	Karoo 1 (Northeast of Cape Town)	Northeast of CT	Mobility - Motor	4614100.0	Passenger Vehicle	2013	B.A.W	SASUKA 2.7i (16 SEAT)	4.0	2693.0	110.0	B/S	4.0	2013/01/01 12:00:00 AM	NaN	Yes	No	More than 6 months	No	No	No	NaN	NaN	500000.0	Monthly	395.8481	No excess	Third Party	Third Party	Comprehensive - Taxi	Motor Comprehensive	Mobility Commercial Cover: Monthly	Commercial	IFRS Constant	347.235175
1000091	31520	389	2014-11-01 00:00:00	False	ZW	Individual	Mr	English	ABSA Bank	Savings account	Single	Male	South Africa	Western Cape	7493	Karoo 1 (Northeast of Cape Town)	Northeast of CT	Mobility - Motor	4614100.0	Passenger Vehicle	2013	B.A.W	SASUKA 2.7i (16 SEAT)	4.0	2693.0	110.0	B/S	4.0	2013/01/01 12:00:00 AM	NaN	Yes	No	More than 6 months	No	No	No	NaN	NaN	500000.0	Monthly	395.8481	No excess	Third Party	Third Party	Comprehensive - Taxi	Motor Comprehensive	Mobility Commercial Cover: Monthly	Commercial	IFRS Constant	347.235175
1000092	31520	389	2015-01-01 00:00:00	False	ZW	Individual	Mr	English	ABSA Bank	Savings account	Single	Male	South Africa	Western Cape	7493	Karoo 1 (Northeast of Cape Town)	Northeast of CT	Mobility - Motor	4614100.0	Passenger Vehicle	2013	B.A.W	SASUKA 2.7i (16 SEAT)	4.0	2693.0	110.0	B/S	4.0	2013/01/01 12:00:00 AM	NaN	Yes	No	More than 6 months	No	No	No	NaN	NaN	500000.0	Monthly	395.8481	No excess	Third Party	Third Party	Comprehensive - Taxi	Motor Comprehensive	Mobility Commercial Cover: Monthly	Commercial	IFRS Constant	347.235175
1000093	31520	389	2015-04-01 00:00:00	False	ZW	Individual	Mr	English	ABSA Bank	Savings account	Single	Male	South Africa	Western Cape	7493	Karoo 1 (Northeast of Cape Town)	Northeast of CT	Mobility - Motor	4614100.0	Passenger Vehicle	2013	B.A.W	SASUKA 2.7i (16 SEAT)	4.0	2693.0	110.0	B/S	4.0	2013/01/01 12:00:00 AM	NaN	Yes	No	More than 6 months	No	No	No	NaN	NaN	500000.0	Monthly	395.8481	No excess	Third Party	Third Party	Comprehensive - Taxi	Motor Comprehensive	Mobility Commercial Cover: Monthly	Commercial	IFRS Constant	347.235175
1000094	31520	389	2015-06-01 00:00:00	False	ZW	Individual	Mr	English	ABSA Bank	Savings account	Single	Male	South Africa	Western Cape	7493	Karoo 1 (Northeast of Cape Town)	Northeast of CT	Mobility - Motor	4614100.0	Passenger Vehicle	2013	B.A.W	SASUKA 2.7i (16 SEAT)	4.0	2693.0	110.0	B/S	4.0	2013/01/01 12:00:00 AM	NaN	Yes	No	More than 6 months	No	No	No	NaN	NaN	500000.0	Monthly	395.8481	No excess	Third Party	Third Party	Comprehensive - Taxi	Motor Comprehensive	Mobility Commercial Cover: Monthly	Commercial	IFRS Constant	347.235175
1000095	31520	389	2015-08-01 00:00:00	False	ZW	Individual	Mr	English	ABSA Bank	Savings account	Single	Male	South Africa	Western Cape	7493	Karoo 1 (Northeast of Cape Town)	Northeast of CT	Mobility - Motor	4614100.0	Passenger Vehicle	2013	B.A.W	SASUKA 2.7i (16 SEAT)	4.0	2693.0	110.0	B/S	4.0	2013/01/01 12:00:00 AM	NaN	Yes	No	More than 6 months	No	No	No	NaN	NaN	500000.0	Monthly	395.8481	No excess	Third Party	Third Party	Comprehensive - Taxi	Motor Comprehensive	Mobility Commercial Cover: Monthly	Commercial	IFRS Constant	347.235175
1000096	31519	389	2014-07-01 00:00:00	False	ZW	Individual	Mr	English	ABSA Bank	Savings account	Single	Male	South Africa	Western Cape	7493	Karoo 1 (Northeast of Cape Town)	Northeast of CT	Mobility - Motor	4614100.0	Passenger Vehicle	2013	B.A.W	SASUKA 2.7i (16 SEAT)	4.0	2693.0	110.0	B/S	4.0	2013/01/01 12:00:00 AM	NaN	Yes	No	More than 6 months	No	No	No	NaN	NaN	5000000.0	Monthly	2.6391	No excess	Passenger Liability	Passenger Liability	Comprehensive - Taxi	Motor Comprehensive	Mobility Commercial Cover: Monthly	Commercial	IFRS Constant	2.315000
1000097	31519	389	2015-02-01 00:00:00	False	ZW	Individual	Mr	English	ABSA Bank	Savings account	Single	Male	South Africa	Western Cape	7493	Karoo 1 (Northeast of Cape Town)	Northeast of CT	Mobility - Motor	4614100.0	Passenger Vehicle	2013	B.A.W	SASUKA 2.7i (16 SEAT)	4.0	2693.0	110.0	B/S	4.0	2013/01/01 12:00:00 AM	NaN	Yes	No	More than 6 months	No	No	No	NaN	NaN	5000000.0	Monthly	2.6391	No excess	Passenger Liability	Passenger Liability	Comprehensive - Taxi	Motor Comprehensive	Mobility Commercial Cover: Monthly	Commercial	IFRS Constant	2.315000

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length