Overview

Brought to you by YData

Dataset statistics

Number of variables	26
Number of observations	4,063
Missing cells	27,643
Missing cells (%)	26.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	825.4 KiB
Average record size in memory	208.0 B

Variable types

Text	1
Numeric	6
Categorical	17
Boolean	2

Alerts

`awareness_of_electricity_consumption_of_renters` has constant value "I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the number of hours they use each appliance, the times they keep the lights and fans switched on etc."	Constant
`charging_method_of_renters_for_electricity` is highly overall correlated with `no_of_storeys` and 1 other fields	High correlation
`electricity_provider_csc_area` is highly overall correlated with `type_of_electricity_meter`	High correlation
`floor_which_house_located` is highly overall correlated with `occupy_renters_boarders`	High correlation
`highest_level_of_education_of_the_chief_wage_earner` is highly overall correlated with `socio_economic_class`	High correlation
`is_there_business_carried_out_in_the_household` is highly overall correlated with `type_of_business`	High correlation
`no_of_storeys` is highly overall correlated with `charging_method_of_renters_for_electricity` and 1 other fields	High correlation
`occupation_of_the_chief_wage_earner` is highly overall correlated with `socio_economic_class`	High correlation
`occupy_renters_boarders` is highly overall correlated with `floor_which_house_located` and 1 other fields	High correlation
`own_the_house_or_living_on_rent` is highly overall correlated with `charging_method_of_renters_for_electricity` and 1 other fields	High correlation
`socio_economic_class` is highly overall correlated with `highest_level_of_education_of_the_chief_wage_earner` and 1 other fields	High correlation
`type_of_business` is highly overall correlated with `is_there_business_carried_out_in_the_household` and 1 other fields	High correlation
`type_of_electricity_meter` is highly overall correlated with `electricity_provider_csc_area`	High correlation
`own_the_house_or_living_on_rent` is highly imbalanced (68.5%)	Imbalance
`occupy_renters_boarders` is highly imbalanced (86.2%)	Imbalance
`type_of_house` is highly imbalanced (59.8%)	Imbalance
`charged_method_for_rent_for_electricity` is highly imbalanced (79.8%)	Imbalance
`is_there_business_carried_out_in_the_household` is highly imbalanced (73.2%)	Imbalance
`main_material_used_for_roof_of_the_house` is highly imbalanced (50.4%)	Imbalance
`any_constructions_or_renovations_in_the_household` is highly imbalanced (71.3%)	Imbalance
`occupy_renters_boarders` has 536 (13.2%) missing values	Missing
`awareness_of_electricity_consumption_of_renters` has 3959 (97.4%) missing values	Missing
`floor_which_house_located` has 3970 (97.7%) missing values	Missing
`no_of_storeys` has 3814 (93.9%) missing values	Missing
`charging_method_of_renters_for_electricity` has 3959 (97.4%) missing values	Missing
`charged_method_for_rent_for_electricity` has 3527 (86.8%) missing values	Missing
`type_of_business` has 3877 (95.4%) missing values	Missing
`whom_or_how_the_house_was_designed` has 1280 (31.5%) missing values	Missing
`availability_of_certificate_of_compliance` has 1280 (31.5%) missing values	Missing
`main_material_used_for_roof_of_the_house` has 1280 (31.5%) missing values	Missing
`total_monthly_expenditure_of_last_month` has 135 (3.3%) missing values	Missing
`household_ID` has unique values	Unique

Reproduction

Analysis started	2024-12-06 05:54:12.129767
Analysis finished	2024-12-06 05:54:18.907451
Duration	6.78 seconds
Software version	ydata-profiling vv4.11.0
Download configuration	config.json

household_ID
Text

Unique

Distinct	4063
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

Length

Max length	6
Median length	6
Mean length	6
Min length	6

Characters and Unicode

Total characters	24,378
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	4,063 ?
Unique (%)	100.0%

Sample

1st row	ID0001
2nd row	ID0002
3rd row	ID0003
4th row	ID0004
5th row	ID0005

Value	Count	Frequency (%)
id0039	1	< 0.1%
id4063	1	< 0.1%
id0001	1	< 0.1%
id0002	1	< 0.1%
id0003	1	< 0.1%
id0004	1	< 0.1%
id0005	1	< 0.1%
id0006	1	< 0.1%
id0007	1	< 0.1%
id0008	1	< 0.1%
Other values (4053)	4053	99.8%

Most occurring characters

Value	Count	Frequency (%)
I	4063	16.7%
D	4063	16.7%
0	2277	9.3%
3	2217	9.1%
2	2217	9.1%
1	2217	9.1%
4	1280	5.3%
5	1216	5.0%
6	1210	5.0%
7	1206	4.9%
Other values (2)	2412	9.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	16252	66.7%
Uppercase Letter	8126	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2277	14.0%
3	2217	13.6%
2	2217	13.6%
1	2217	13.6%
4	1280	7.9%
5	1216	7.5%
6	1210	7.4%
7	1206	7.4%
8	1206	7.4%
9	1206	7.4%

Uppercase Letter

Value	Count	Frequency (%)
I	4063	50.0%
D	4063	50.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	16252	66.7%
Latin	8126	33.3%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2277	14.0%
3	2217	13.6%
2	2217	13.6%
1	2217	13.6%
4	1280	7.9%
5	1216	7.5%
6	1210	7.4%
7	1206	7.4%
8	1206	7.4%
9	1206	7.4%

Latin

Value	Count	Frequency (%)
I	4063	50.0%
D	4063	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24378	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
I	4063	16.7%
D	4063	16.7%
0	2277	9.3%
3	2217	9.1%
2	2217	9.1%
1	2217	9.1%
4	1280	5.3%
5	1216	5.0%
6	1210	5.0%
7	1206	4.9%
Other values (2)	2412	9.9%

no_of_electricity_meters
Real number (ℝ)

Distinct	6
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.0762983

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	7
Range	6
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.31628519
Coefficient of variation (CV)	0.29386387
Kurtosis	51.158272
Mean	1.0762983
Median Absolute Deviation (MAD)	0
Skewness	5.6452849
Sum	4373
Variance	0.10003632
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
1	3799	93.5%
2	225	5.5%
3	36	0.9%
5	1	< 0.1%
7	1	< 0.1%
4	1	< 0.1%

Value	Count	Frequency (%)
1	3799	93.5%
2	225	5.5%
3	36	0.9%
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%

Value	Count	Frequency (%)
7	1	< 0.1%
5	1	< 0.1%
4	1	< 0.1%
3	36	0.9%
2	225	5.5%
1	3799	93.5%

electricity_provider_csc_area
Categorical

High correlation

Distinct	23
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

MORATUWA NORTH	533
MORATUWA SOUTH	370
PANADURA	357
GALLE	216
KESELWATTA	206
Other values (18)	2381

Length

Max length	14
Median length	11
Mean length	9.6475511
Min length	5

Characters and Unicode

Total characters	39,198
Distinct characters	22
Distinct categories	3 ?
Distinct scripts	2 ?
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	GALLE
2nd row	GALLE
3rd row	GALLE
4th row	BORALASGAMUWA
5th row	KOLONNAWA

Common Values

Value	Count	Frequency (%)
MORATUWA NORTH	533	13.1%
MORATUWA SOUTH	370	9.1%
PANADURA	357	8.8%
GALLE	216	5.3%
KESELWATTA	206	5.1%
MAHARAGAMA	202	5.0%
PAYAGALA	196	4.8%
KALUTARA	189	4.7%
HIKKADUWA	163	4.0%
ALUTHGAMA	158	3.9%
Other values (13)	1473	36.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
moratuwa	903	18.2%
north	533	10.7%
south	370	7.5%
panadura	357	7.2%
galle	216	4.3%
keselwatta	206	4.1%
maharagama	202	4.1%
payagala	196	3.9%
kalutara	189	3.8%
hikkaduwa	163	3.3%
Other values (14)	1631	32.8%

Most occurring characters

Value	Count	Frequency (%)
A	10055	25.7%
T	3417	8.7%
O	2914	7.4%
U	2568	6.6%
R	2454	6.3%
M	2125	5.4%
L	1849	4.7%
W	1788	4.6%
N	1693	4.3%
H	1565	4.0%
Other values (12)	8770	22.4%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	38065	97.1%
Space Separator	903	2.3%
Dash Punctuation	230	0.6%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	10055	26.4%
T	3417	9.0%
O	2914	7.7%
U	2568	6.7%
R	2454	6.4%
M	2125	5.6%
L	1849	4.9%
W	1788	4.7%
N	1693	4.4%
H	1565	4.1%
Other values (10)	7637	20.1%

Space Separator

Value	Count	Frequency (%)
	903	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	230	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	38065	97.1%
Common	1133	2.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	10055	26.4%
T	3417	9.0%
O	2914	7.7%
U	2568	6.7%
R	2454	6.4%
M	2125	5.6%
L	1849	4.9%
W	1788	4.7%
N	1693	4.4%
H	1565	4.1%
Other values (10)	7637	20.1%

Common

Value	Count	Frequency (%)
	903	79.7%
-	230	20.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	39198	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
A	10055	25.7%
T	3417	8.7%
O	2914	7.4%
U	2568	6.6%
R	2454	6.3%
M	2125	5.4%
L	1849	4.7%
W	1788	4.6%
N	1693	4.3%
H	1565	4.0%
Other values (12)	8770	22.4%

own_the_house_or_living_on_rent
Categorical

High correlation Imbalance

Distinct	4
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

Yes, I or a household member owns it.	3527
No, I am living on rent and the rent is paid by me or a household member.	482
No, I or any household member does not own or rent this household. We occupy this household without any payment of rent.	50
No, I am living on rent and the rent is paid by the employer.	4

Length

Max length	120
Median length	37
Mean length	42.315777
Min length	37

Characters and Unicode

Total characters	171,929
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
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	Yes, I or a household member owns it.
2nd row	Yes, I or a household member owns it.
3rd row	Yes, I or a household member owns it.
4th row	Yes, I or a household member owns it.
5th row	Yes, I or a household member owns it.

Common Values

Value	Count	Frequency (%)
Yes, I or a household member owns it.	3527	86.8%
No, I am living on rent and the rent is paid by me or a household member.	482	11.9%
No, I or any household member does not own or rent this household. We occupy this household without any payment of rent.	50	1.2%
No, I am living on rent and the rent is paid by the employer.	4	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
household	4159	11.1%
or	4109	10.9%
i	4063	10.8%
member	4059	10.8%
a	4009	10.7%
yes	3527	9.4%
owns	3527	9.4%
it	3527	9.4%
rent	1072	2.9%
no	536	1.4%
Other values (20)	4978	13.3%

Most occurring characters

Value	Count	Frequency (%)
	33503	19.5%
e	18006	10.5%
o	17280	10.1%
s	11849	6.9%
r	9244	5.4%
m	9140	5.3%
h	8958	5.2%
n	6307	3.7%
i	5621	3.3%
a	5617	3.3%
Other values (18)	46404	27.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	122074	71.0%
Space Separator	33503	19.5%
Other Punctuation	8176	4.8%
Uppercase Letter	8176	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	18006	14.8%
o	17280	14.2%
s	11849	9.7%
r	9244	7.6%
m	9140	7.5%
h	8958	7.3%
n	6307	5.2%
i	5621	4.6%
a	5617	4.6%
t	5389	4.4%
Other values (11)	24663	20.2%

Uppercase Letter

Value	Count	Frequency (%)
I	4063	49.7%
Y	3527	43.1%
N	536	6.6%
W	50	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	4113	50.3%
,	4063	49.7%

Space Separator

Value	Count	Frequency (%)
	33503	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	130250	75.8%
Common	41679	24.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	18006	13.8%
o	17280	13.3%
s	11849	9.1%
r	9244	7.1%
m	9140	7.0%
h	8958	6.9%
n	6307	4.8%
i	5621	4.3%
a	5617	4.3%
t	5389	4.1%
Other values (15)	32839	25.2%

Common

Value	Count	Frequency (%)
	33503	80.4%
.	4113	9.9%
,	4063	9.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	171929	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	33503	19.5%
e	18006	10.5%
o	17280	10.1%
s	11849	6.9%
r	9244	5.4%
m	9140	5.3%
h	8958	5.2%
n	6307	3.7%
i	5621	3.3%
a	5617	3.3%
Other values (18)	46404	27.0%

occupy_renters_boarders
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	0.1%
Missing	536
Missing (%)	13.2%
Memory size	31.9 KiB

I don't occupy any of the above.	3423
Renters / boarders who are living in your annexe or any other attached place, maintaining separate living conditions but share the same electricity meter.	72
Boarders who live in your house using a room/s that is attached to your living conditions.	32

Length

Max length	154
Median length	32
Mean length	35.016728
Min length	32

Characters and Unicode

Total characters	123,504
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
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	I don't occupy any of the above.
2nd row	I don't occupy any of the above.
3rd row	I don't occupy any of the above.
4th row	I don't occupy any of the above.
5th row	I don't occupy any of the above.

Common Values

Value	Count	Frequency (%)
I don't occupy any of the above.	3423	84.2%
Renters / boarders who are living in your annexe or any other attached place, maintaining separate living conditions but share the same electricity meter.	72	1.8%
Boarders who live in your house using a room/s that is attached to your living conditions.	32	0.8%
(Missing)	536	13.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
any	3495	13.3%
the	3495	13.3%
don't	3423	13.1%
i	3423	13.1%
occupy	3423	13.1%
of	3423	13.1%
above	3423	13.1%
living	176	0.7%
your	136	0.5%
in	104	0.4%
Other values (26)	1680	6.4%

Most occurring characters

Value	Count	Frequency (%)
	22674	18.4%
o	14516	11.8%
e	8270	6.7%
a	7942	6.4%
t	7902	6.4%
n	7870	6.4%
c	7270	5.9%
y	7126	5.8%
h	3911	3.2%
d	3735	3.0%
Other values (20)	32288	26.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	90177	73.0%
Space Separator	22674	18.4%
Other Punctuation	7126	5.8%
Uppercase Letter	3527	2.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	14516	16.1%
e	8270	9.2%
a	7942	8.8%
t	7902	8.8%
n	7870	8.7%
c	7270	8.1%
y	7126	7.9%
h	3911	4.3%
d	3735	4.1%
u	3695	4.1%
Other values (12)	17940	19.9%

Other Punctuation

Value	Count	Frequency (%)
.	3527	49.5%
'	3423	48.0%
/	104	1.5%
,	72	1.0%

Uppercase Letter

Value	Count	Frequency (%)
I	3423	97.1%
R	72	2.0%
B	32	0.9%

Space Separator

Value	Count	Frequency (%)
	22674	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	93704	75.9%
Common	29800	24.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	14516	15.5%
e	8270	8.8%
a	7942	8.5%
t	7902	8.4%
n	7870	8.4%
c	7270	7.8%
y	7126	7.6%
h	3911	4.2%
d	3735	4.0%
u	3695	3.9%
Other values (15)	21467	22.9%

Common

Value	Count	Frequency (%)
	22674	76.1%
.	3527	11.8%
'	3423	11.5%
/	104	0.3%
,	72	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	123504	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	22674	18.4%
o	14516	11.8%
e	8270	6.7%
a	7942	6.4%
t	7902	6.4%
n	7870	6.4%
c	7270	5.9%
y	7126	5.8%
h	3911	3.2%
d	3735	3.0%
Other values (20)	32288	26.1%

awareness_of_electricity_consumption_of_renters
Categorical

Constant Missing

Distinct	1
Distinct (%)	1.0%
Missing	3959
Missing (%)	97.4%
Memory size	31.9 KiB

I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the number of hours they use each appliance, the times they keep the lights and fans switched on etc.	104

Length

Max length	218
Median length	218
Mean length	218
Min length	218

Characters and Unicode

Total characters	22,672
Distinct characters	27
Distinct categories	4 ?
Distinct scripts	2 ?
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	I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the number of hours they use each appliance, the times they keep the lights and fans switched on etc.
2nd row	I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the number of hours they use each appliance, the times they keep the lights and fans switched on etc.
3rd row	I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the number of hours they use each appliance, the times they keep the lights and fans switched on etc.
4th row	I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the number of hours they use each appliance, the times they keep the lights and fans switched on etc.
5th row	I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the number of hours they use each appliance, the times they keep the lights and fans switched on etc.

Common Values

Value	Count	Frequency (%)
I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the number of hours they use each appliance, the times they keep the lights and fans switched on etc.	104	2.6%
(Missing)	3959	97.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
the	728	18.4%
they	312	7.9%
of	208	5.3%
use	208	5.3%
and	208	5.3%
all	104	2.6%
details	104	2.6%
electricity	104	2.6%
know	104	2.6%
about	104	2.6%
Other values (17)	1768	44.7%

Most occurring characters

Value	Count	Frequency (%)
	3848	17.0%
e	2912	12.8%
t	2080	9.2%
h	1456	6.4%
a	1248	5.5%
s	1248	5.5%
n	1144	5.0%
i	1040	4.6%
o	936	4.1%
c	832	3.7%
Other values (17)	5928	26.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17992	79.4%
Space Separator	3848	17.0%
Other Punctuation	728	3.2%
Uppercase Letter	104	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	2912	16.2%
t	2080	11.6%
h	1456	8.1%
a	1248	6.9%
s	1248	6.9%
n	1144	6.4%
i	1040	5.8%
o	936	5.2%
c	832	4.6%
l	728	4.0%
Other values (11)	4368	24.3%

Other Punctuation

Value	Count	Frequency (%)
.	312	42.9%
;	208	28.6%
/	104	14.3%
,	104	14.3%

Space Separator

Value	Count	Frequency (%)
	3848	100.0%

Uppercase Letter

Value	Count	Frequency (%)
I	104	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18096	79.8%
Common	4576	20.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	2912	16.1%
t	2080	11.5%
h	1456	8.0%
a	1248	6.9%
s	1248	6.9%
n	1144	6.3%
i	1040	5.7%
o	936	5.2%
c	832	4.6%
l	728	4.0%
Other values (12)	4472	24.7%

Common

Value	Count	Frequency (%)
	3848	84.1%
.	312	6.8%
;	208	4.5%
/	104	2.3%
,	104	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22672	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3848	17.0%
e	2912	12.8%
t	2080	9.2%
h	1456	6.4%
a	1248	5.5%
s	1248	5.5%
n	1144	5.0%
i	1040	4.6%
o	936	4.1%
c	832	3.7%
Other values (17)	5928	26.1%

built_year_of_the_house
Categorical

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

2000-2009	918
2010-2019	758
Before 1980	740
1990-1999	615
1980-1989	482
Other values (2)	550

Length

Max length	21
Median length	9
Mean length	10.108787
Min length	9

Characters and Unicode

Total characters	41,072
Distinct characters	20
Distinct categories	6 ?
Distinct scripts	2 ?
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	2000-2009
2nd row	Before 1980
3rd row	1980-1989
4th row	2010-2019
5th row	2010-2019

Common Values

Value	Count	Frequency (%)
2000-2009	918	22.6%
2010-2019	758	18.7%
Before 1980	740	18.2%
1990-1999	615	15.1%
1980-1989	482	11.9%
Don't know	325	8.0%
In 2020 or After 2020	225	5.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
2000-2009	918	15.2%
2010-2019	758	12.6%
before	740	12.3%
1980	740	12.3%
1990-1999	615	10.2%
1980-1989	482	8.0%
2020	450	7.5%
don't	325	5.4%
know	325	5.4%
in	225	3.7%
Other values (2)	450	7.5%

Most occurring characters

Value	Count	Frequency (%)
0	9601	23.4%
9	6937	16.9%
1	4450	10.8%
2	4252	10.4%
-	2773	6.8%
	1965	4.8%
e	1705	4.2%
8	1704	4.1%
o	1615	3.9%
r	1190	2.9%
Other values (10)	4880	11.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	26944	65.6%
Lowercase Letter	7550	18.4%
Dash Punctuation	2773	6.8%
Space Separator	1965	4.8%
Uppercase Letter	1515	3.7%
Other Punctuation	325	0.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1705	22.6%
o	1615	21.4%
r	1190	15.8%
f	965	12.8%
n	875	11.6%
t	550	7.3%
k	325	4.3%
w	325	4.3%

Decimal Number

Value	Count	Frequency (%)
0	9601	35.6%
9	6937	25.7%
1	4450	16.5%
2	4252	15.8%
8	1704	6.3%

Uppercase Letter

Value	Count	Frequency (%)
B	740	48.8%
D	325	21.5%
I	225	14.9%
A	225	14.9%

Dash Punctuation

Value	Count	Frequency (%)
-	2773	100.0%

Space Separator

Value	Count	Frequency (%)
	1965	100.0%

Other Punctuation

Value	Count	Frequency (%)
'	325	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	32007	77.9%
Latin	9065	22.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1705	18.8%
o	1615	17.8%
r	1190	13.1%
f	965	10.6%
n	875	9.7%
B	740	8.2%
t	550	6.1%
D	325	3.6%
k	325	3.6%
w	325	3.6%
Other values (2)	450	5.0%

Common

Value	Count	Frequency (%)
0	9601	30.0%
9	6937	21.7%
1	4450	13.9%
2	4252	13.3%
-	2773	8.7%
	1965	6.1%
8	1704	5.3%
'	325	1.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	41072	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	9601	23.4%
9	6937	16.9%
1	4450	10.8%
2	4252	10.4%
-	2773	6.8%
	1965	4.8%
e	1705	4.2%
8	1704	4.1%
o	1615	3.9%
r	1190	2.9%
Other values (10)	4880	11.9%

type_of_house
Categorical

Imbalance

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

Single House - Single Floor	2482
Single House - Double Floor	1332
Single House - More than 2 floors	113
Flat	80
Condominium/ Luxury apartments	13
Other values (5)	43

Length

Max length	33
Median length	27
Mean length	26.605464
Min length	4

Characters and Unicode

Total characters	108,098
Distinct characters	35
Distinct categories	6 ?
Distinct scripts	2 ?
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	Single House - Double Floor
2nd row	Single House - Single Floor
3rd row	Single House - Single Floor
4th row	Single House - Double Floor
5th row	Flat

Common Values

Value	Count	Frequency (%)
Single House - Single Floor	2482	61.1%
Single House - Double Floor	1332	32.8%
Single House - More than 2 floors	113	2.8%
Flat	80	2.0%
Condominium/ Luxury apartments	13	0.3%
Slum / Shanty	11	0.3%
Line room/row house	11	0.3%
Attached house / Annex	10	0.2%
Twin houses	9	0.2%
Other	2	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
single	6409	31.9%
house	3948	19.6%
	3948	19.6%
floor	3814	19.0%
double	1332	6.6%
more	113	0.6%
than	113	0.6%
2	113	0.6%
floors	113	0.6%
flat	80	0.4%
Other values (12)	123	0.6%

Most occurring characters

Value	Count	Frequency (%)
	16043	14.8%
o	13315	12.3%
e	11857	11.0%
l	11759	10.9%
n	6612	6.1%
i	6455	6.0%
S	6431	5.9%
g	6409	5.9%
u	5339	4.9%
s	4092	3.8%
Other values (25)	19786	18.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	72205	66.8%
Space Separator	16043	14.8%
Uppercase Letter	15765	14.6%
Dash Punctuation	3927	3.6%
Decimal Number	113	0.1%
Other Punctuation	45	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	13315	18.4%
e	11857	16.4%
l	11759	16.3%
n	6612	9.2%
i	6455	8.9%
g	6409	8.9%
u	5339	7.4%
s	4092	5.7%
r	4090	5.7%
b	1332	1.8%
Other values (11)	945	1.3%

Uppercase Letter

Value	Count	Frequency (%)
S	6431	40.8%
H	3927	24.9%
F	3894	24.7%
D	1332	8.4%
M	113	0.7%
L	24	0.2%
A	20	0.1%
C	13	0.1%
T	9	0.1%
O	2	< 0.1%

Space Separator

Value	Count	Frequency (%)
	16043	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3927	100.0%

Decimal Number

Value	Count	Frequency (%)
2	113	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	45	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	87970	81.4%
Common	20128	18.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	13315	15.1%
e	11857	13.5%
l	11759	13.4%
n	6612	7.5%
i	6455	7.3%
S	6431	7.3%
g	6409	7.3%
u	5339	6.1%
s	4092	4.7%
r	4090	4.6%
Other values (21)	11611	13.2%

Common

Value	Count	Frequency (%)
	16043	79.7%
-	3927	19.5%
2	113	0.6%
/	45	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	108098	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	16043	14.8%
o	13315	12.3%
e	11857	11.0%
l	11759	10.9%
n	6612	6.1%
i	6455	6.0%
S	6431	5.9%
g	6409	5.9%
u	5339	4.9%
s	4092	3.8%
Other values (25)	19786	18.3%

floor_which_house_located
Real number (ℝ)

High correlation Missing

Distinct	12
Distinct (%)	12.9%
Missing	3970
Missing (%)	97.7%
Infinite	0
Infinite (%)	0.0%
Mean	2.7741935

Minimum	0
Maximum	11
Zeros	17
Zeros (%)	0.4%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	4
95-th percentile	9
Maximum	11
Range	11
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.8173725
Coefficient of variation (CV)	1.0155645
Kurtosis	0.61342339
Mean	2.7741935
Median Absolute Deviation (MAD)	1
Skewness	1.2342572
Sum	258
Variance	7.9375877
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
1	24	0.6%
2	18	0.4%
0	17	0.4%
3	7	0.2%
4	7	0.2%
5	4	0.1%
8	4	0.1%
6	3	0.1%
7	3	0.1%
9	3	0.1%
Other values (2)	3	0.1%
(Missing)	3970	97.7%

Value	Count	Frequency (%)
0	17	0.4%
1	24	0.6%
2	18	0.4%
3	7	0.2%
4	7	0.2%
5	4	0.1%
6	3	0.1%
7	3	0.1%
8	4	0.1%
9	3	0.1%

Value	Count	Frequency (%)
11	1	< 0.1%
10	2	< 0.1%
9	3	0.1%
8	4	0.1%
7	3	0.1%
6	3	0.1%
5	4	0.1%
4	7	0.2%
3	7	0.2%
2	18	0.4%

no_of_storeys
Real number (ℝ)

High correlation Missing

Distinct	6
Distinct (%)	2.4%
Missing	3814
Missing (%)	93.9%
Infinite	0
Infinite (%)	0.0%
Mean	1.746988

Minimum	0
Maximum	5
Zeros	35
Zeros (%)	0.9%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	1
Q3	3
95-th percentile	3
Maximum	5
Range	5
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.1378039
Coefficient of variation (CV)	0.65129465
Kurtosis	-1.2583883
Mean	1.746988
Median Absolute Deviation (MAD)	1
Skewness	0.013050986
Sum	435
Variance	1.2945977
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
3	93	2.3%
1	91	2.2%
0	35	0.9%
2	28	0.7%
4	1	< 0.1%
5	1	< 0.1%
(Missing)	3814	93.9%

Value	Count	Frequency (%)
0	35	0.9%
1	91	2.2%
2	28	0.7%
3	93	2.3%
4	1	< 0.1%
5	1	< 0.1%

Value	Count	Frequency (%)
5	1	< 0.1%
4	1	< 0.1%
3	93	2.3%
2	28	0.7%
1	91	2.2%
0	35	0.9%

floor_area
Real number (ℝ)

Distinct	386
Distinct (%)	9.6%
Missing	26
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	1356.1812

Minimum	100
Maximum	9000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	100
5-th percentile	300
Q1	600
median	1000
Q3	2000
95-th percentile	3000
Maximum	9000
Range	8900
Interquartile range (IQR)	1400

Descriptive statistics

Standard deviation	950.2113
Coefficient of variation (CV)	0.70065219
Kurtosis	2.1828572
Mean	1356.1812
Median Absolute Deviation (MAD)	500
Skewness	1.2111539
Sum	5474903.3
Variance	902901.51
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3000	277	6.8%
1000	264	6.5%
1200	256	6.3%
800	203	5.0%
600	202	5.0%
2400	180	4.4%
1500	175	4.3%
2000	171	4.2%
500	140	3.4%
400	111	2.7%
Other values (376)	2058	50.7%

Value	Count	Frequency (%)
100	12	0.3%
108	1	< 0.1%
120	2	< 0.1%
125	1	< 0.1%
136.5	1	< 0.1%
140	2	< 0.1%
143	1	< 0.1%
144	1	< 0.1%
150	22	0.5%
160	1	< 0.1%

Value	Count	Frequency (%)
9000	2	< 0.1%
6000	1	< 0.1%
5000	1	< 0.1%
4700	1	< 0.1%
4600	7	0.2%
4400	8	0.2%
4200	15	0.4%
4000	23	0.6%
3960	2	< 0.1%
3900	1	< 0.1%

no_of_household_members
Real number (ℝ)

Distinct	13
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.0044302

Minimum	1
Maximum	13
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	3
median	4
Q3	5
95-th percentile	7
Maximum	13
Range	12
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.6872622
Coefficient of variation (CV)	0.42134889
Kurtosis	1.2549374
Mean	4.0044302
Median Absolute Deviation (MAD)	1
Skewness	0.68467186
Sum	16270
Variance	2.8468538
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
4	1014	25.0%
3	818	20.1%
5	772	19.0%
2	602	14.8%
6	407	10.0%
1	186	4.6%
7	144	3.5%
8	65	1.6%
9	29	0.7%
10	15	0.4%
Other values (3)	11	0.3%

Value	Count	Frequency (%)
1	186	4.6%
2	602	14.8%
3	818	20.1%
4	1014	25.0%
5	772	19.0%
6	407	10.0%
7	144	3.5%
8	65	1.6%
9	29	0.7%
10	15	0.4%

Value	Count	Frequency (%)
13	2	< 0.1%
12	4	0.1%
11	5	0.1%
10	15	0.4%
9	29	0.7%
8	65	1.6%
7	144	3.5%
6	407	10.0%
5	772	19.0%
4	1014	25.0%

charging_method_of_renters_for_electricity
Categorical

High correlation Missing

Distinct	5
Distinct (%)	4.8%
Missing	3959
Missing (%)	97.4%
Memory size	31.9 KiB

You charge a fixed amount every month for electricity.	34
You don't charge them for electricity consumption.	24
You charge an amount for electricity depending on the variance of the bill.	21
You don't charge a specific amount for electricity but charge a fixed amount for all the utilities such as electricity, water etc.	19
You don't charge a specific amount for electricity but charge a varied amount for all the utilities such as electricity, water etc. The amount charged varied based on the utility bills.	6

Length

Max length	185
Median length	130
Mean length	78.759615
Min length	50

Characters and Unicode

Total characters	8,191
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
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	You don't charge them for electricity consumption.
2nd row	You don't charge them for electricity consumption.
3rd row	You don't charge them for electricity consumption.
4th row	You don't charge a specific amount for electricity but charge a fixed amount for all the utilities such as electricity, water etc.
5th row	You don't charge a specific amount for electricity but charge a fixed amount for all the utilities such as electricity, water etc.

Common Values

Value	Count	Frequency (%)
You charge a fixed amount every month for electricity.	34	0.8%
You don't charge them for electricity consumption.	24	0.6%
You charge an amount for electricity depending on the variance of the bill.	21	0.5%
You don't charge a specific amount for electricity but charge a fixed amount for all the utilities such as electricity, water etc.	19	0.5%
You don't charge a specific amount for electricity but charge a varied amount for all the utilities such as electricity, water etc. The amount charged varied based on the utility bills.	6	0.1%
(Missing)	3959	97.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
charge	129	9.5%
for	129	9.5%
electricity	129	9.5%
amount	111	8.2%
you	104	7.7%
a	84	6.2%
the	79	5.8%
fixed	53	3.9%
don't	49	3.6%
every	34	2.5%
Other values (22)	450	33.3%

Most occurring characters

Value	Count	Frequency (%)
	1247	15.2%
e	798	9.7%
t	710	8.7%
i	553	6.8%
c	538	6.6%
o	523	6.4%
a	486	5.9%
r	485	5.9%
n	353	4.3%
u	320	3.9%
Other values (18)	2178	26.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	6650	81.2%
Space Separator	1247	15.2%
Other Punctuation	184	2.2%
Uppercase Letter	110	1.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	798	12.0%
t	710	10.7%
i	553	8.3%
c	538	8.1%
o	523	7.9%
a	486	7.3%
r	485	7.3%
n	353	5.3%
u	320	4.8%
h	297	4.5%
Other values (12)	1587	23.9%

Other Punctuation

Value	Count	Frequency (%)
.	110	59.8%
'	49	26.6%
,	25	13.6%

Uppercase Letter

Value	Count	Frequency (%)
Y	104	94.5%
T	6	5.5%

Space Separator

Value	Count	Frequency (%)
	1247	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6760	82.5%
Common	1431	17.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	798	11.8%
t	710	10.5%
i	553	8.2%
c	538	8.0%
o	523	7.7%
a	486	7.2%
r	485	7.2%
n	353	5.2%
u	320	4.7%
h	297	4.4%
Other values (14)	1697	25.1%

Common

Value	Count	Frequency (%)
	1247	87.1%
.	110	7.7%
'	49	3.4%
,	25	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8191	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	1247	15.2%
e	798	9.7%
t	710	8.7%
i	553	6.8%
c	538	6.6%
o	523	6.4%
a	486	5.9%
r	485	5.9%
n	353	4.3%
u	320	3.9%
Other values (18)	2178	26.6%

charged_method_for_rent_for_electricity
Categorical

Imbalance Missing

Distinct	6
Distinct (%)	1.1%
Missing	3527
Missing (%)	86.8%
Memory size	31.9 KiB

You pay the full amount of the electricity bill.	496
You don't pay the owner for electricity consumption.	17
You pay a fixed amount to the owner every month for electricity.	13
You pay a varied amount to the owner every month for electricity. The amount paid varies depending on the variance of the bill.	6
You don't pay a specific amount for electricity, but pay a fixed amount for all the utilities such as electricity, water etc.	3

Length

Max length	197
Median length	48
Mean length	50.108209
Min length	48

Characters and Unicode

Total characters	26,858
Distinct characters	28
Distinct categories	4 ?
Distinct scripts	2 ?
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 (%)	0.2%

Sample

1st row	You pay the full amount of the electricity bill.
2nd row	You pay the full amount of the electricity bill.
3rd row	You don't pay the owner for electricity consumption.
4th row	You pay the full amount of the electricity bill.
5th row	You pay the full amount of the electricity bill.

Common Values

Value	Count	Frequency (%)
You pay the full amount of the electricity bill.	496	12.2%
You don't pay the owner for electricity consumption.	17	0.4%
You pay a fixed amount to the owner every month for electricity.	13	0.3%
You pay a varied amount to the owner every month for electricity. The amount paid varies depending on the variance of the bill.	6	0.1%
You don't pay a specific amount for electricity, but pay a fixed amount for all the utilities such as electricity, water etc.	3	0.1%
You don't pay a specific amount for electricity, but pay a varied amount for all the utilities such as electricity, water etc. The amount paid varies depending on the variance of the utility bills.	1	< 0.1%
(Missing)	3527	86.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
the	1053	21.1%
electricity	540	10.8%
pay	540	10.8%
you	536	10.7%
amount	530	10.6%
of	503	10.1%
bill	502	10.1%
full	496	9.9%
for	44	0.9%
owner	36	0.7%
Other values (23)	214	4.3%

Most occurring characters

Value	Count	Frequency (%)
	4458	16.6%
t	2754	10.3%
l	2551	9.5%
e	2274	8.5%
o	1749	6.5%
i	1673	6.2%
u	1592	5.9%
a	1144	4.3%
c	1120	4.2%
y	1100	4.1%
Other values (18)	6443	24.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	21285	79.3%
Space Separator	4458	16.6%
Other Punctuation	572	2.1%
Uppercase Letter	543	2.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	2754	12.9%
l	2551	12.0%
e	2274	10.7%
o	1749	8.2%
i	1673	7.9%
u	1592	7.5%
a	1144	5.4%
c	1120	5.3%
y	1100	5.2%
h	1076	5.1%
Other values (12)	4252	20.0%

Other Punctuation

Value	Count	Frequency (%)
.	543	94.9%
'	21	3.7%
,	8	1.4%

Uppercase Letter

Value	Count	Frequency (%)
Y	536	98.7%
T	7	1.3%

Space Separator

Value	Count	Frequency (%)
	4458	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21828	81.3%
Common	5030	18.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	2754	12.6%
l	2551	11.7%
e	2274	10.4%
o	1749	8.0%
i	1673	7.7%
u	1592	7.3%
a	1144	5.2%
c	1120	5.1%
y	1100	5.0%
h	1076	4.9%
Other values (14)	4795	22.0%

Common

Value	Count	Frequency (%)
	4458	88.6%
.	543	10.8%
'	21	0.4%
,	8	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	26858	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	4458	16.6%
t	2754	10.3%
l	2551	9.5%
e	2274	8.5%
o	1749	6.5%
i	1673	6.2%
u	1592	5.9%
a	1144	4.3%
c	1120	4.2%
y	1100	4.1%
Other values (18)	6443	24.0%

is_there_business_carried_out_in_the_household
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.1 KiB

False	3877
True	186

Value	Count	Frequency (%)
False	3877	95.4%
True	186	4.6%

type_of_business
Categorical

High correlation Missing

Distinct	3
Distinct (%)	1.6%
Missing	3877
Missing (%)	95.4%
Memory size	31.9 KiB

Other	121
A shop	63
A communication	2

Length

Max length	15
Median length	5
Mean length	5.4462366
Min length	5

Characters and Unicode

Total characters	1,013
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
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	Other
2nd row	Other
3rd row	Other
4th row	Other
5th row	Other

Common Values

Value	Count	Frequency (%)
Other	121	3.0%
A shop	63	1.6%
A communication	2	< 0.1%
(Missing)	3877	95.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
other	121	48.2%
a	65	25.9%
shop	63	25.1%
communication	2	0.8%

Most occurring characters

Value	Count	Frequency (%)
h	184	18.2%
t	123	12.1%
O	121	11.9%
e	121	11.9%
r	121	11.9%
o	67	6.6%
	65	6.4%
A	65	6.4%
s	63	6.2%
p	63	6.2%
Other values (6)	20	2.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	762	75.2%
Uppercase Letter	186	18.4%
Space Separator	65	6.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
h	184	24.1%
t	123	16.1%
e	121	15.9%
r	121	15.9%
o	67	8.8%
s	63	8.3%
p	63	8.3%
c	4	0.5%
m	4	0.5%
n	4	0.5%
Other values (3)	8	1.0%

Uppercase Letter

Value	Count	Frequency (%)
O	121	65.1%
A	65	34.9%

Space Separator

Value	Count	Frequency (%)
	65	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	948	93.6%
Common	65	6.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
h	184	19.4%
t	123	13.0%
O	121	12.8%
e	121	12.8%
r	121	12.8%
o	67	7.1%
A	65	6.9%
s	63	6.6%
p	63	6.6%
c	4	0.4%
Other values (5)	16	1.7%

Common

Value	Count	Frequency (%)
	65	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1013	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
h	184	18.2%
t	123	12.1%
O	121	11.9%
e	121	11.9%
r	121	11.9%
o	67	6.6%
	65	6.4%
A	65	6.4%
s	63	6.2%
p	63	6.2%
Other values (6)	20	2.0%

whom_or_how_the_house_was_designed
Categorical

Missing

Distinct	6
Distinct (%)	0.2%
Missing	1280
Missing (%)	31.5%
Memory size	31.9 KiB

The house is designed by a certified architect.	1389
I am not aware of that.	738
The house plan is not done by an architect, nor checked by a certified architect or engineer. The house was not designed keeping in mind the legal requirements of the local authorities. The house was designed only to suit our needs.	359
The house plan is not done by an architect, nor checked by a certified architect / engineer, the house is designed to barely pass the legal requirements of the local authorities.	125
The house plan was not done by an architect but checked by a certified architect or engineer.	117

Length

Max length	232
Median length	178
Mean length	72.238951
Min length	23

Characters and Unicode

Total characters	201,041
Distinct characters	29
Distinct categories	4 ?
Distinct scripts	2 ?
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	The house is designed by a certified architect.
2nd row	This is a house provided by the government.
3rd row	The house is designed by a certified architect.
4th row	The house is designed by a certified architect.
5th row	The house is designed by a certified architect.

Common Values

Value	Count	Frequency (%)
The house is designed by a certified architect.	1389	34.2%
I am not aware of that.	738	18.2%
The house plan is not done by an architect, nor checked by a certified architect or engineer. The house was not designed keeping in mind the legal requirements of the local authorities. The house was designed only to suit our needs.	359	8.8%
The house plan is not done by an architect, nor checked by a certified architect / engineer, the house is designed to barely pass the legal requirements of the local authorities.	125	3.1%
The house plan was not done by an architect but checked by a certified architect or engineer.	117	2.9%
This is a house provided by the government.	55	1.4%
(Missing)	1280	31.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
the	3856	10.5%
house	2888	7.9%
by	2646	7.2%
architect	2591	7.1%
designed	2232	6.1%
is	2053	5.6%
a	2045	5.6%
certified	1990	5.4%
not	1698	4.6%
of	1222	3.3%
Other values (31)	13342	36.5%

Most occurring characters

Value	Count	Frequency (%)
	33780	16.8%
e	26269	13.1%
i	14455	7.2%
t	13961	6.9%
a	11327	5.6%
h	11213	5.6%
s	9999	5.0%
n	9808	4.9%
o	9649	4.8%
r	8926	4.4%
Other values (19)	51654	25.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	159525	79.3%
Space Separator	33780	16.8%
Other Punctuation	4235	2.1%
Uppercase Letter	3501	1.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	26269	16.5%
i	14455	9.1%
t	13961	8.8%
a	11327	7.1%
h	11213	7.0%
s	9999	6.3%
n	9808	6.1%
o	9649	6.0%
r	8926	5.6%
c	8858	5.6%
Other values (13)	35060	22.0%

Other Punctuation

Value	Count	Frequency (%)
.	3501	82.7%
,	609	14.4%
/	125	3.0%

Uppercase Letter

Value	Count	Frequency (%)
T	2763	78.9%
I	738	21.1%

Space Separator

Value	Count	Frequency (%)
	33780	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	163026	81.1%
Common	38015	18.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	26269	16.1%
i	14455	8.9%
t	13961	8.6%
a	11327	6.9%
h	11213	6.9%
s	9999	6.1%
n	9808	6.0%
o	9649	5.9%
r	8926	5.5%
c	8858	5.4%
Other values (15)	38561	23.7%

Common

Value	Count	Frequency (%)
	33780	88.9%
.	3501	9.2%
,	609	1.6%
/	125	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	201041	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	33780	16.8%
e	26269	13.1%
i	14455	7.2%
t	13961	6.9%
a	11327	5.6%
h	11213	5.6%
s	9999	5.0%
n	9808	4.9%
o	9649	4.8%
r	8926	4.4%
Other values (19)	51654	25.7%

availability_of_certificate_of_compliance
Categorical

Missing

Distinct	3
Distinct (%)	0.1%
Missing	1280
Missing (%)	31.5%
Memory size	31.9 KiB

Yes	1268
Don't know	851
No	664

Length

Max length	10
Median length	3
Mean length	4.9019044
Min length	2

Characters and Unicode

Total characters	13,642
Distinct characters	12
Distinct categories	4 ?
Distinct scripts	2 ?
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	No
2nd row	Yes
3rd row	No
4th row	No
5th row	Yes

Common Values

Value	Count	Frequency (%)
Yes	1268	31.2%
Don't know	851	20.9%
No	664	16.3%
(Missing)	1280	31.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
yes	1268	34.9%
don't	851	23.4%
know	851	23.4%
no	664	18.3%

Most occurring characters

Value	Count	Frequency (%)
o	2366	17.3%
n	1702	12.5%
Y	1268	9.3%
e	1268	9.3%
s	1268	9.3%
D	851	6.2%
'	851	6.2%
t	851	6.2%
	851	6.2%
k	851	6.2%
Other values (2)	1515	11.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9157	67.1%
Uppercase Letter	2783	20.4%
Other Punctuation	851	6.2%
Space Separator	851	6.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	2366	25.8%
n	1702	18.6%
e	1268	13.8%
s	1268	13.8%
t	851	9.3%
k	851	9.3%
w	851	9.3%

Uppercase Letter

Value	Count	Frequency (%)
Y	1268	45.6%
D	851	30.6%
N	664	23.9%

Other Punctuation

Value	Count	Frequency (%)
'	851	100.0%

Space Separator

Value	Count	Frequency (%)
	851	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11940	87.5%
Common	1702	12.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	2366	19.8%
n	1702	14.3%
Y	1268	10.6%
e	1268	10.6%
s	1268	10.6%
D	851	7.1%
t	851	7.1%
k	851	7.1%
w	851	7.1%
N	664	5.6%

Common

Value	Count	Frequency (%)
'	851	50.0%
	851	50.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13642	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	2366	17.3%
n	1702	12.5%
Y	1268	9.3%
e	1268	9.3%
s	1268	9.3%
D	851	6.2%
'	851	6.2%
t	851	6.2%
	851	6.2%
k	851	6.2%
Other values (2)	1515	11.1%

main_material_used_for_walls_of_the_house
Categorical

Distinct	10
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

Cement Block	1837
Brick	1621
I am not aware of that	299
Cabook	191
Wood / Takaran / Asbestos	49
Other values (5)	66

Length

Max length	25
Median length	22
Mean length	9.8624169
Min length	3

Characters and Unicode

Total characters	40,071
Distinct characters	30
Distinct categories	4 ?
Distinct scripts	2 ?
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	Brick
2nd row	Brick
3rd row	Brick
4th row	Cement Block
5th row	I am not aware of that

Common Values

Value	Count	Frequency (%)
Cement Block	1837	45.2%
Brick	1621	39.9%
I am not aware of that	299	7.4%
Cabook	191	4.7%
Wood / Takaran / Asbestos	49	1.2%
Pressed soil blocks	29	0.7%
Stones/Cube stones	19	0.5%
Other	9	0.2%
Mud	8	0.2%
Metal Sheet	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
cement	1837	24.0%
block	1837	24.0%
brick	1621	21.1%
i	299	3.9%
am	299	3.9%
not	299	3.9%
aware	299	3.9%
of	299	3.9%
that	299	3.9%
cabook	191	2.5%
Other values (13)	389	5.1%

Most occurring characters

Value	Count	Frequency (%)
e	4149	10.4%
k	3727	9.3%
	3606	9.0%
c	3487	8.7%
B	3458	8.6%
o	3060	7.6%
t	2832	7.1%
n	2223	5.5%
m	2136	5.3%
C	2047	5.1%
Other values (20)	9346	23.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	30330	75.7%
Uppercase Letter	6018	15.0%
Space Separator	3606	9.0%
Other Punctuation	117	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4149	13.7%
k	3727	12.3%
c	3487	11.5%
o	3060	10.1%
t	2832	9.3%
n	2223	7.3%
m	2136	7.0%
r	2007	6.6%
l	1896	6.3%
i	1650	5.4%
Other values (8)	3163	10.4%

Uppercase Letter

Value	Count	Frequency (%)
B	3458	57.5%
C	2047	34.0%
I	299	5.0%
W	49	0.8%
T	49	0.8%
A	49	0.8%
P	29	0.5%
S	20	0.3%
O	9	0.1%
M	9	0.1%

Space Separator

Value	Count	Frequency (%)
	3606	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	117	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	36348	90.7%
Common	3723	9.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4149	11.4%
k	3727	10.3%
c	3487	9.6%
B	3458	9.5%
o	3060	8.4%
t	2832	7.8%
n	2223	6.1%
m	2136	5.9%
C	2047	5.6%
r	2007	5.5%
Other values (18)	7222	19.9%

Common

Value	Count	Frequency (%)
	3606	96.9%
/	117	3.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	40071	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4149	10.4%
k	3727	9.3%
	3606	9.0%
c	3487	8.7%
B	3458	8.6%
o	3060	7.6%
t	2832	7.1%
n	2223	5.5%
m	2136	5.3%
C	2047	5.1%
Other values (20)	9346	23.3%

main_material_used_for_roof_of_the_house
Categorical

Imbalance Missing

Distinct	8
Distinct (%)	0.3%
Missing	1280
Missing (%)	31.5%
Memory size	31.9 KiB

Asbestos	1665
Concrete	577
Tile	494
Takaran	19
Metal Sheet	14
Other values (3)	14

Length

Max length	14
Median length	8
Mean length	7.298958
Min length	4

Characters and Unicode

Total characters	20,313
Distinct characters	21
Distinct categories	3 ?
Distinct scripts	2 ?
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	Asbestos
2nd row	Asbestos
3rd row	Tile
4th row	Concrete
5th row	Concrete

Common Values

Value	Count	Frequency (%)
Asbestos	1665	41.0%
Concrete	577	14.2%
Tile	494	12.2%
Takaran	19	0.5%
Metal Sheet	14	0.3%
Other	8	0.2%
Plastic sheets	5	0.1%
Tent	1	< 0.1%
(Missing)	1280	31.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
asbestos	1665	59.4%
concrete	577	20.6%
tile	494	17.6%
takaran	19	0.7%
metal	14	0.5%
sheet	14	0.5%
other	8	0.3%
plastic	5	0.2%
sheets	5	0.2%
tent	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
s	5010	24.7%
e	3374	16.6%
t	2289	11.3%
o	2242	11.0%
A	1665	8.2%
b	1665	8.2%
r	604	3.0%
n	597	2.9%
c	582	2.9%
C	577	2.8%
Other values (11)	1708	8.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17497	86.1%
Uppercase Letter	2797	13.8%
Space Separator	19	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
s	5010	28.6%
e	3374	19.3%
t	2289	13.1%
o	2242	12.8%
b	1665	9.5%
r	604	3.5%
n	597	3.4%
c	582	3.3%
l	513	2.9%
i	499	2.9%
Other values (3)	122	0.7%

Uppercase Letter

Value	Count	Frequency (%)
A	1665	59.5%
C	577	20.6%
T	514	18.4%
M	14	0.5%
S	14	0.5%
O	8	0.3%
P	5	0.2%

Space Separator

Value	Count	Frequency (%)
	19	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20294	99.9%
Common	19	0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
s	5010	24.7%
e	3374	16.6%
t	2289	11.3%
o	2242	11.0%
A	1665	8.2%
b	1665	8.2%
r	604	3.0%
n	597	2.9%
c	582	2.9%
C	577	2.8%
Other values (10)	1689	8.3%

Common

Value	Count	Frequency (%)
	19	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20313	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
s	5010	24.7%
e	3374	16.6%
t	2289	11.3%
o	2242	11.0%
A	1665	8.2%
b	1665	8.2%
r	604	3.0%
n	597	2.9%
c	582	2.9%
C	577	2.8%
Other values (11)	1708	8.4%

any_constructions_or_renovations_in_the_household
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	4.1 KiB

False	3859
True	204

Value	Count	Frequency (%)
False	3859	95.0%
True	204	5.0%

highest_level_of_education_of_the_chief_wage_earner
Categorical

High correlation

Distinct	7
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

O/L or A/L pending / Passed	1879
Schooling up to Grade 6 - 9	672
Diploma with O/L or A/L (Non graduate)	563
Graduate / Post-Grads / Degree level professional qualification	528
Other professional certificates with O/L or A/L / Part qualification (Non graduate)	272
Other values (2)	149

Length

Max length	83
Median length	27
Mean length	36.543441
Min length	10

Characters and Unicode

Total characters	148,476
Distinct characters	38
Distinct categories	8 ?
Distinct scripts	2 ?
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	O/L or A/L pending / Passed
2nd row	Diploma with O/L or A/L (Non graduate)
3rd row	Graduate / Post-Grads / Degree level professional qualification
4th row	Other professional certificates with O/L or A/L / Part qualification (Non graduate)
5th row	Schooling up to Grade 6 - 9

Common Values

Value	Count	Frequency (%)
O/L or A/L pending / Passed	1879	46.2%
Schooling up to Grade 6 - 9	672	16.5%
Diploma with O/L or A/L (Non graduate)	563	13.9%
Graduate / Post-Grads / Degree level professional qualification	528	13.0%
Other professional certificates with O/L or A/L / Part qualification (Non graduate)	272	6.7%
Primary Education	125	3.1%
Illiterate	24	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
	3879	14.0%
or	2714	9.8%
o/l	2714	9.8%
a/l	2714	9.8%
pending	1879	6.8%
passed	1879	6.8%
graduate	1363	4.9%
non	835	3.0%
with	835	3.0%
professional	800	2.9%
Other values (17)	8069	29.1%

Most occurring characters

Value	Count	Frequency (%)
	23618	15.9%
e	10097	6.8%
a	9586	6.5%
o	9181	6.2%
/	8635	5.8%
i	7967	5.4%
r	7695	5.2%
n	6990	4.7%
s	6686	4.5%
d	6446	4.3%
Other values (28)	51575	34.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	93602	63.0%
Space Separator	23618	15.9%
Uppercase Letter	18407	12.4%
Other Punctuation	8635	5.8%
Decimal Number	1344	0.9%
Dash Punctuation	1200	0.8%
Open Punctuation	835	0.6%
Close Punctuation	835	0.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	10097	10.8%
a	9586	10.2%
o	9181	9.8%
i	7967	8.5%
r	7695	8.2%
n	6990	7.5%
s	6686	7.1%
d	6446	6.9%
t	5459	5.8%
l	3939	4.2%
Other values (11)	19556	20.9%

Uppercase Letter

Value	Count	Frequency (%)
L	5428	29.5%
O	2986	16.2%
P	2804	15.2%
A	2714	14.7%
G	1728	9.4%
D	1091	5.9%
N	835	4.5%
S	672	3.7%
E	125	0.7%
I	24	0.1%

Decimal Number

Value	Count	Frequency (%)
6	672	50.0%
9	672	50.0%

Space Separator

Value	Count	Frequency (%)
	23618	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	8635	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1200	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	835	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	835	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	112009	75.4%
Common	36467	24.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	10097	9.0%
a	9586	8.6%
o	9181	8.2%
i	7967	7.1%
r	7695	6.9%
n	6990	6.2%
s	6686	6.0%
d	6446	5.8%
t	5459	4.9%
L	5428	4.8%
Other values (21)	36474	32.6%

Common

Value	Count	Frequency (%)
	23618	64.8%
/	8635	23.7%
-	1200	3.3%
(	835	2.3%
)	835	2.3%
6	672	1.8%
9	672	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	148476	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	23618	15.9%
e	10097	6.8%
a	9586	6.5%
o	9181	6.2%
/	8635	5.8%
i	7967	5.4%
r	7695	5.2%
n	6990	4.7%
s	6686	4.5%
d	6446	4.3%
Other values (28)	51575	34.7%

occupation_of_the_chief_wage_earner
Categorical

High correlation

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

Skilled Worker	1239
Small Businessman / Self employed (Non professional)	483
Manager / Professional	452
Clerk / Salesman grades	398
Unskilled Worker	334
Other values (14)	1157

Length

Max length	52
Median length	43
Mean length	24.075068
Min length	12

Characters and Unicode

Total characters	97,817
Distinct characters	52
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

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

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Skilled Worker
2nd row	Unskilled Worker
3rd row	Middle and Senior executive
4th row	1-9 Employed
5th row	Skilled Worker

Common Values

Value	Count	Frequency (%)
Skilled Worker	1239	30.5%
Small Businessman / Self employed (Non professional)	483	11.9%
Manager / Professional	452	11.1%
Clerk / Salesman grades	398	9.8%
Unskilled Worker	334	8.2%
Self employed (Professional) - No employees	262	6.4%
Junior executive / Executive	251	6.2%
Middle and Senior executive	237	5.8%
1-9 Employed	160	3.9%
Supervisor grades	153	3.8%
Other values (9)	94	2.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	1879	13.5%
worker	1589	11.4%
skilled	1239	8.9%
professional	1197	8.6%
employed	921	6.6%
self	745	5.4%
executive	739	5.3%
grades	551	4.0%
non	483	3.5%
small	483	3.5%
Other values (34)	4068	29.3%

Most occurring characters

Value	Count	Frequency (%)
e	12577	12.9%
	9831	10.1%
l	8319	8.5%
r	6720	6.9%
o	6687	6.8%
s	5545	5.7%
i	4950	5.1%
a	4698	4.8%
n	4629	4.7%
d	3760	3.8%
Other values (42)	30101	30.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	75099	76.8%
Space Separator	9831	10.1%
Uppercase Letter	8974	9.2%
Other Punctuation	1607	1.6%
Close Punctuation	745	0.8%
Open Punctuation	745	0.8%
Dash Punctuation	435	0.4%
Decimal Number	362	0.4%
Math Symbol	16	< 0.1%
Other Number	3	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	12577	16.7%
l	8319	11.1%
r	6720	8.9%
o	6687	8.9%
s	5545	7.4%
i	4950	6.6%
a	4698	6.3%
n	4629	6.2%
d	3760	5.0%
k	3560	4.7%
Other values (14)	13654	18.2%

Uppercase Letter

Value	Count	Frequency (%)
S	3255	36.3%
W	1589	17.7%
N	745	8.3%
P	714	8.0%
M	689	7.7%
B	536	6.0%
E	427	4.8%
C	398	4.4%
U	334	3.7%
J	251	2.8%
Other values (5)	36	0.4%

Decimal Number

Value	Count	Frequency (%)
1	180	49.7%
9	160	44.2%
0	16	4.4%
2	3	0.8%
5	3	0.8%

Dash Punctuation

Value	Count	Frequency (%)
-	432	99.3%
–	3	0.7%

Space Separator

Value	Count	Frequency (%)
	9831	100.0%

Other Punctuation

Value	Count	Frequency (%)
/	1607	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	745	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	745	100.0%

Math Symbol

Value	Count	Frequency (%)
+	16	100.0%

Other Number

Value	Count	Frequency (%)
½	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	84073	85.9%
Common	13744	14.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	12577	15.0%
l	8319	9.9%
r	6720	8.0%
o	6687	8.0%
s	5545	6.6%
i	4950	5.9%
a	4698	5.6%
n	4629	5.5%
d	3760	4.5%
k	3560	4.2%
Other values (29)	22628	26.9%

Common

Value	Count	Frequency (%)
	9831	71.5%
/	1607	11.7%
)	745	5.4%
(	745	5.4%
-	432	3.1%
1	180	1.3%
9	160	1.2%
0	16	0.1%
+	16	0.1%
–	3	< 0.1%
Other values (3)	9	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	97811	> 99.9%
Punctuation	3	< 0.1%
None	3	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	12577	12.9%
	9831	10.1%
l	8319	8.5%
r	6720	6.9%
o	6687	6.8%
s	5545	5.7%
i	4950	5.1%
a	4698	4.8%
n	4629	4.7%
d	3760	3.8%
Other values (40)	30095	30.8%

Punctuation

Value	Count	Frequency (%)
–	3	100.0%

None

Value	Count	Frequency (%)
½	3	100.0%

socio_economic_class
Categorical

High correlation

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

SEC C	1485
SEC B	868
SEC A	786
SEC D	669
SEC E	255

Length

Max length	5
Median length	5
Mean length	5
Min length	5

Characters and Unicode

Total characters	20,315
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	2 ?
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	SEC C
2nd row	SEC D
3rd row	SEC A
4th row	SEC A
5th row	SEC D

Common Values

Value	Count	Frequency (%)
SEC C	1485	36.5%
SEC B	868	21.4%
SEC A	786	19.3%
SEC D	669	16.5%
SEC E	255	6.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
sec	4063	50.0%
c	1485	18.3%
b	868	10.7%
a	786	9.7%
d	669	8.2%
e	255	3.1%

Most occurring characters

Value	Count	Frequency (%)
C	5548	27.3%
E	4318	21.3%
S	4063	20.0%
	4063	20.0%
B	868	4.3%
A	786	3.9%
D	669	3.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	16252	80.0%
Space Separator	4063	20.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
C	5548	34.1%
E	4318	26.6%
S	4063	25.0%
B	868	5.3%
A	786	4.8%
D	669	4.1%

Space Separator

Value	Count	Frequency (%)
	4063	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16252	80.0%
Common	4063	20.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
C	5548	34.1%
E	4318	26.6%
S	4063	25.0%
B	868	5.3%
A	786	4.8%
D	669	4.1%

Common

Value	Count	Frequency (%)
	4063	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20315	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
C	5548	27.3%
E	4318	21.3%
S	4063	20.0%
	4063	20.0%
B	868	4.3%
A	786	3.9%
D	669	3.3%

total_monthly_expenditure_of_last_month
Real number (ℝ)

Missing

Distinct	85
Distinct (%)	2.2%
Missing	135
Missing (%)	3.3%
Infinite	0
Infinite (%)	0.0%
Mean	71327.253

Minimum	5000
Maximum	275000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	31.9 KiB

Quantile statistics

Minimum	5000
5-th percentile	20000
Q1	40000
median	60000
Q3	100000
95-th percentile	150000
Maximum	275000
Range	270000
Interquartile range (IQR)	60000

Descriptive statistics

Standard deviation	44311.381
Coefficient of variation (CV)	0.62124054
Kurtosis	2.7624431
Mean	71327.253
Median Absolute Deviation (MAD)	20000
Skewness	1.5241384
Sum	2.8017345 × 10⁸
Variance	1.9634985 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
50000	535	13.2%
100000	498	12.3%
60000	417	10.3%
40000	294	7.2%
30000	249	6.1%
80000	223	5.5%
70000	218	5.4%
150000	191	4.7%
75000	158	3.9%
35000	127	3.1%
Other values (75)	1018	25.1%
(Missing)	135	3.3%

Value	Count	Frequency (%)
5000	6	0.1%
6000	2	< 0.1%
7000	1	< 0.1%
7500	2	< 0.1%
8000	3	0.1%
10000	36	0.9%
11000	1	< 0.1%
12000	10	0.2%
13000	1	< 0.1%
15000	64	1.6%

Value	Count	Frequency (%)
275000	2	< 0.1%
270000	1	< 0.1%
250000	31	0.8%
230000	3	0.1%
225000	2	< 0.1%
220000	1	< 0.1%
215000	1	< 0.1%
200000	113	2.8%
180000	6	0.1%
175000	6	0.1%

type_of_electricity_meter
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	31.9 KiB

Smart meter	2186
Non smart meter	1877

Length

Max length	15
Median length	11
Mean length	12.847896
Min length	11

Characters and Unicode

Total characters	52,201
Distinct characters	11
Distinct categories	3 ?
Distinct scripts	2 ?
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	Non smart meter
2nd row	Non smart meter
3rd row	Smart meter
4th row	Smart meter
5th row	Smart meter

Common Values

Value	Count	Frequency (%)
Smart meter	2186	53.8%
Non smart meter	1877	46.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
smart	4063	40.6%
meter	4063	40.6%
non	1877	18.8%

Most occurring characters

Value	Count	Frequency (%)
m	8126	15.6%
t	8126	15.6%
r	8126	15.6%
e	8126	15.6%
	5940	11.4%
a	4063	7.8%
S	2186	4.2%
N	1877	3.6%
o	1877	3.6%
n	1877	3.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42198	80.8%
Space Separator	5940	11.4%
Uppercase Letter	4063	7.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	8126	19.3%
t	8126	19.3%
r	8126	19.3%
e	8126	19.3%
a	4063	9.6%
o	1877	4.4%
n	1877	4.4%
s	1877	4.4%

Uppercase Letter

Value	Count	Frequency (%)
S	2186	53.8%
N	1877	46.2%

Space Separator

Value	Count	Frequency (%)
	5940	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46261	88.6%
Common	5940	11.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	8126	17.6%
t	8126	17.6%
r	8126	17.6%
e	8126	17.6%
a	4063	8.8%
S	2186	4.7%
N	1877	4.1%
o	1877	4.1%
n	1877	4.1%
s	1877	4.1%

Common

Value	Count	Frequency (%)
	5940	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	52201	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	8126	15.6%
t	8126	15.6%
r	8126	15.6%
e	8126	15.6%
	5940	11.4%
a	4063	7.8%
S	2186	4.2%
N	1877	3.6%
o	1877	3.6%
n	1877	3.6%

Interactions

Correlations

	any_constructions_or_renovations_in_the_household	availability_of_certificate_of_compliance	built_year_of_the_house	charged_method_for_rent_for_electricity	charging_method_of_renters_for_electricity	electricity_provider_csc_area	floor_area	floor_which_house_located	highest_level_of_education_of_the_chief_wage_earner	is_there_business_carried_out_in_the_household	main_material_used_for_roof_of_the_house	main_material_used_for_walls_of_the_house	no_of_electricity_meters	no_of_household_members	no_of_storeys	occupation_of_the_chief_wage_earner	occupy_renters_boarders	own_the_house_or_living_on_rent	socio_economic_class	total_monthly_expenditure_of_last_month	type_of_business	type_of_electricity_meter	type_of_house	whom_or_how_the_house_was_designed
any_constructions_or_renovations_in_the_household	1.000	0.064	0.150	0.000	0.150	0.062	0.058	0.000	0.000	0.041	0.071	0.063	0.000	0.000	0.000	0.036	0.009	0.078	0.000	0.035	0.000	0.000	0.047	0.101
availability_of_certificate_of_compliance	0.064	1.000	0.285	0.182	0.000	0.240	0.213	0.279	0.213	0.005	0.117	0.268	0.078	0.022	0.238	0.197	0.041	0.278	0.217	0.154	0.000	0.125	0.228	0.435
built_year_of_the_house	0.150	0.285	1.000	0.000	0.020	0.079	0.037	0.068	0.036	0.039	0.139	0.290	0.000	0.048	0.172	0.034	0.012	0.442	0.023	0.036	0.093	0.075	0.146	0.221
charged_method_for_rent_for_electricity	0.000	0.182	0.000	1.000	0.000	0.076	0.032	0.000	0.000	0.000	0.000	0.129	0.000	0.115	0.107	0.000	0.000	0.267	0.030	0.000	0.000	0.047	0.000	0.000
charging_method_of_renters_for_electricity	0.150	0.000	0.020	0.000	1.000	0.171	0.000	0.000	0.156	0.075	0.000	0.131	0.000	0.163	0.577	0.013	0.361	1.000	0.103	0.043	0.000	0.000	0.200	0.000
electricity_provider_csc_area	0.062	0.240	0.079	0.076	0.171	1.000	0.144	0.000	0.177	0.028	0.158	0.125	0.057	0.058	0.193	0.105	0.075	0.108	0.177	0.089	0.172	0.502	0.124	0.181
floor_area	0.058	0.213	0.037	0.032	0.000	0.144	1.000	0.114	0.140	0.000	0.027	0.097	0.087	0.026	0.403	0.123	0.000	0.030	0.176	0.278	0.030	0.155	0.141	0.150
floor_which_house_located	0.000	0.279	0.068	0.000	0.000	0.000	0.114	1.000	0.154	0.000	0.000	0.000	0.014	0.039	0.015	0.137	1.000	0.000	0.116	0.073	NaN	0.118	0.373	0.000
highest_level_of_education_of_the_chief_wage_earner	0.000	0.213	0.036	0.000	0.156	0.177	0.140	0.154	1.000	0.042	0.049	0.101	0.021	0.048	0.159	0.306	0.000	0.036	0.650	0.155	0.159	0.176	0.138	0.156
is_there_business_carried_out_in_the_household	0.041	0.005	0.039	0.000	0.075	0.028	0.000	0.000	0.042	1.000	0.000	0.000	0.000	0.000	0.000	0.174	0.000	0.000	0.052	0.000	1.000	0.008	0.000	0.000
main_material_used_for_roof_of_the_house	0.071	0.117	0.139	0.000	0.000	0.158	0.027	0.000	0.049	0.000	1.000	0.168	0.103	0.000	0.181	0.028	0.106	0.000	0.057	0.000	0.000	0.160	0.151	0.066
main_material_used_for_walls_of_the_house	0.063	0.268	0.290	0.129	0.131	0.125	0.097	0.000	0.101	0.000	0.168	1.000	0.000	0.012	0.262	0.085	0.000	0.272	0.134	0.053	0.000	0.086	0.151	0.222
no_of_electricity_meters	0.000	0.078	0.000	0.000	0.000	0.057	0.087	0.014	0.021	0.000	0.103	0.000	1.000	-0.035	0.100	0.070	0.000	0.000	0.048	0.048	0.051	0.101	0.158	0.063
no_of_household_members	0.000	0.022	0.048	0.115	0.163	0.058	0.026	0.039	0.048	0.000	0.000	0.012	-0.035	1.000	0.018	0.029	0.098	0.021	0.063	0.275	0.000	0.000	0.045	0.029
no_of_storeys	0.000	0.238	0.172	0.107	0.577	0.193	0.403	0.015	0.159	0.000	0.181	0.262	0.100	0.018	1.000	0.168	0.000	0.114	0.157	0.388	1.000	0.138	0.352	0.327
occupation_of_the_chief_wage_earner	0.036	0.197	0.034	0.000	0.013	0.105	0.123	0.137	0.306	0.174	0.028	0.085	0.070	0.029	0.168	1.000	0.000	0.033	0.625	0.139	0.242	0.167	0.115	0.124
occupy_renters_boarders	0.009	0.041	0.012	0.000	0.361	0.075	0.000	1.000	0.000	0.000	0.106	0.000	0.000	0.098	0.000	0.000	1.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000
own_the_house_or_living_on_rent	0.078	0.278	0.442	0.267	1.000	0.108	0.030	0.000	0.036	0.000	0.000	0.272	0.000	0.021	0.114	0.033	1.000	1.000	0.039	0.003	0.000	0.033	0.063	0.261
socio_economic_class	0.000	0.217	0.023	0.030	0.103	0.177	0.176	0.116	0.650	0.052	0.057	0.134	0.048	0.063	0.157	0.625	0.000	0.039	1.000	0.218	0.128	0.192	0.184	0.168
total_monthly_expenditure_of_last_month	0.035	0.154	0.036	0.000	0.043	0.089	0.278	0.073	0.155	0.000	0.000	0.053	0.048	0.275	0.388	0.139	0.000	0.003	0.218	1.000	0.000	0.148	0.086	0.103
type_of_business	0.000	0.000	0.093	0.000	0.000	0.172	0.030	NaN	0.159	1.000	0.000	0.000	0.051	0.000	1.000	0.242	0.000	0.000	0.128	0.000	1.000	0.000	0.000	0.000
type_of_electricity_meter	0.000	0.125	0.075	0.047	0.000	0.502	0.155	0.118	0.176	0.008	0.160	0.086	0.101	0.000	0.138	0.167	0.000	0.033	0.192	0.148	0.000	1.000	0.220	0.101
type_of_house	0.047	0.228	0.146	0.000	0.200	0.124	0.141	0.373	0.138	0.000	0.151	0.151	0.158	0.045	0.352	0.115	0.000	0.063	0.184	0.086	0.000	0.220	1.000	0.211
whom_or_how_the_house_was_designed	0.101	0.435	0.221	0.000	0.000	0.181	0.150	0.000	0.156	0.000	0.066	0.222	0.063	0.029	0.327	0.124	0.000	0.261	0.168	0.103	0.000	0.101	0.211	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.

Sample

	household_ID	no_of_electricity_meters	electricity_provider_csc_area	own_the_house_or_living_on_rent	occupy_renters_boarders	awareness_of_electricity_consumption_of_renters	built_year_of_the_house	type_of_house	floor_which_house_located	no_of_storeys	floor_area	no_of_household_members	charging_method_of_renters_for_electricity	charged_method_for_rent_for_electricity	is_there_business_carried_out_in_the_household	type_of_business	whom_or_how_the_house_was_designed	availability_of_certificate_of_compliance	main_material_used_for_walls_of_the_house	main_material_used_for_roof_of_the_house	any_constructions_or_renovations_in_the_household	highest_level_of_education_of_the_chief_wage_earner	occupation_of_the_chief_wage_earner	socio_economic_class	total_monthly_expenditure_of_last_month	type_of_electricity_meter
0	ID0001	1	GALLE	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2000-2009	Single House - Double Floor	NaN	NaN	1500.0	4	NaN	NaN	No	NaN	The house is designed by a certified architect.	No	Brick	Asbestos	No	O/L or A/L pending / Passed	Skilled Worker	SEC C	35000.0	Non smart meter
1	ID0002	1	GALLE	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	Before 1980	Single House - Single Floor	NaN	NaN	440.0	3	NaN	NaN	No	NaN	This is a house provided by the government.	Yes	Brick	Asbestos	No	Diploma with O/L or A/L (Non graduate)	Unskilled Worker	SEC D	40000.0	Non smart meter
2	ID0003	1	GALLE	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	1980-1989	Single House - Single Floor	NaN	NaN	2500.0	4	NaN	NaN	No	NaN	The house is designed by a certified architect.	No	Brick	Tile	No	Graduate / Post-Grads / Degree level professional qualification	Middle and Senior executive	SEC A	250000.0	Smart meter
3	ID0004	1	BORALASGAMUWA	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2010-2019	Single House - Double Floor	NaN	NaN	2600.0	4	NaN	NaN	No	NaN	The house is designed by a certified architect.	No	Cement Block	Concrete	No	Other professional certificates with O/L or A/L / Part qualification (Non graduate)	1-9 Employed	SEC A	100000.0	Smart meter
4	ID0005	1	KOLONNAWA	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2010-2019	Flat	10.0	1.0	480.0	2	NaN	NaN	No	NaN	The house is designed by a certified architect.	Yes	I am not aware of that	Concrete	No	Schooling up to Grade 6 - 9	Skilled Worker	SEC D	60000.0	Smart meter
5	ID0006	1	KOLONNAWA	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2010-2019	Flat	1.0	2.0	440.0	6	NaN	NaN	No	NaN	This is a house provided by the government.	Yes	Cement Block	Concrete	No	Schooling up to Grade 6 - 9	Unskilled Worker	SEC E	100000.0	Smart meter
6	ID0007	1	KOLONNAWA	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2010-2019	Flat	2.0	1.0	480.0	4	NaN	NaN	No	NaN	This is a house provided by the government.	Yes	Cement Block	Concrete	No	O/L or A/L pending / Passed	Small Businessman / Self employed (Non professional)	SEC C	60000.0	Smart meter
7	ID0008	2	GALLE	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2010-2019	Single House - Double Floor	NaN	NaN	1400.0	5	NaN	NaN	No	NaN	The house is designed by a certified architect.	Yes	Cement Block	Asbestos	No	Other professional certificates with O/L or A/L / Part qualification (Non graduate)	Clerk / Salesman grades	SEC B	150000.0	Smart meter
8	ID0009	1	GALLE	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2000-2009	Single House - Single Floor	NaN	NaN	350.0	2	NaN	NaN	No	NaN	The house is designed by a certified architect.	No	Brick	Asbestos	No	O/L or A/L pending / Passed	Skilled Worker	SEC C	15000.0	Non smart meter
9	ID0010	1	GALLE	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	1990-1999	Single House - Single Floor	NaN	NaN	1000.0	7	NaN	NaN	No	NaN	The house is designed by a certified architect.	No	Brick	Tile	No	Schooling up to Grade 6 - 9	Unskilled Worker	SEC E	50000.0	Non smart meter

	household_ID	no_of_electricity_meters	electricity_provider_csc_area	own_the_house_or_living_on_rent	occupy_renters_boarders	awareness_of_electricity_consumption_of_renters	built_year_of_the_house	type_of_house	floor_which_house_located	no_of_storeys	floor_area	no_of_household_members	charging_method_of_renters_for_electricity	charged_method_for_rent_for_electricity	is_there_business_carried_out_in_the_household	type_of_business	whom_or_how_the_house_was_designed	availability_of_certificate_of_compliance	main_material_used_for_walls_of_the_house	main_material_used_for_roof_of_the_house	any_constructions_or_renovations_in_the_household	highest_level_of_education_of_the_chief_wage_earner	occupation_of_the_chief_wage_earner	socio_economic_class	total_monthly_expenditure_of_last_month	type_of_electricity_meter
4053	ID4054	1	NEGOMBO	No, I am living on rent and the rent is paid by me or a household member.	NaN	NaN	1980-1989	Single House - Single Floor	NaN	NaN	1250.0	6	NaN	You pay the full amount of the electricity bill.	No	NaN	NaN	NaN	Brick	NaN	No	O/L or A/L pending / Passed	Skilled Worker	SEC C	70000.0	Smart meter
4054	ID4055	1	NEGOMBO	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2000-2009	Single House - Double Floor	NaN	NaN	1500.0	3	NaN	NaN	No	NaN	NaN	NaN	Brick	NaN	No	O/L or A/L pending / Passed	Middle and Senior executive	SEC B	60000.0	Smart meter
4055	ID4056	1	GALLE	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2000-2009	Single House - Single Floor	NaN	NaN	2400.0	3	NaN	NaN	No	NaN	NaN	NaN	Cement Block	NaN	No	Schooling up to Grade 6 - 9	Unskilled Worker	SEC E	NaN	Non smart meter
4056	ID4057	1	GALLE	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	Before 1980	Single House - Single Floor	NaN	NaN	2400.0	2	NaN	NaN	No	NaN	NaN	NaN	Cabook	NaN	No	O/L or A/L pending / Passed	Skilled Worker	SEC C	25000.0	Non smart meter
4057	ID4058	1	GALLE	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	1990-1999	Single House - Single Floor	NaN	NaN	3000.0	6	NaN	NaN	No	NaN	NaN	NaN	Cement Block	NaN	No	Diploma with O/L or A/L (Non graduate)	Skilled Worker	SEC C	8000.0	Non smart meter
4058	ID4059	1	NUGEGODA	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	In 2020 or After 2020	Single House - Double Floor	NaN	NaN	400.0	4	NaN	NaN	No	NaN	NaN	NaN	Brick	NaN	No	Graduate / Post-Grads / Degree level professional qualification	Clerk / Salesman grades	SEC B	150000.0	Smart meter
4059	ID4060	1	HIKKADUWA	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	Before 1980	Single House - Single Floor	NaN	NaN	3000.0	1	NaN	NaN	No	NaN	NaN	NaN	Pressed soil blocks	NaN	No	O/L or A/L pending / Passed	Boutique owner	SEC B	50000.0	Non smart meter
4060	ID4061	1	WATTALA	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2000-2009	Single House - Single Floor	NaN	NaN	680.0	2	NaN	NaN	No	NaN	NaN	NaN	Cement Block	NaN	No	O/L or A/L pending / Passed	Unskilled Worker	SEC D	20000.0	Non smart meter
4061	ID4062	1	ALUTHGAMA	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	1980-1989	Single House - Single Floor	NaN	NaN	700.0	2	NaN	NaN	No	NaN	NaN	NaN	Cabook	NaN	No	O/L or A/L pending / Passed	Self employed (Professional) - No employees	SEC B	30000.0	Non smart meter
4062	ID4063	1	ALUTHGAMA	Yes, I or a household member owns it.	I don't occupy any of the above.	NaN	2010-2019	Single House - Double Floor	NaN	NaN	2400.0	5	NaN	NaN	No	NaN	NaN	NaN	Cement Block	NaN	No	Schooling up to Grade 6 - 9	Skilled Worker	SEC D	100000.0	Non smart meter

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Common

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Other Punctuation

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Other Punctuation

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Other Punctuation

Space Separator

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII