# Overview

Brought to you by YData

Dataset statistics

Number of variables | 26
Number of observations | 3501
Missing cells | 43757
Missing cells (%) | 48.1%
Duplicate rows | 0
Duplicate rows (%) | 0.0%
Total size in memory | 711.3 KiB
Average record size in memory | 208.0 B

Variable types

Text | 3
Boolean | 4
Categorical | 17
Numeric | 2

Alerts

`awareness_of_electricity_consumption_of_renters` is highly overall correlated with `changes_to_the_structure_of_household_after_w1` and 2 other fields | High correlation
`built_house_or_purchased_house` is highly overall correlated with `considered_natural_lighting` and 2 other fields | High correlation
`changes_to_the_structure_of_household_after_w1` is highly overall correlated with `awareness_of_electricity_consumption_of_renters` and 4 other fields | High correlation
`charged_method_for_rent_for_electricity` is highly overall correlated with `new_floor_area` and 2 other fields | High correlation
`charging_method_of_renters_for_electricity` is highly overall correlated with `changes_to_the_structure_of_household_after_w1` and 2 other fields | High correlation
`considered_natural_lighting` is highly overall correlated with `built_house_or_purchased_house` and 3 other fields | High correlation
`considered_ventilation` is highly overall correlated with `built_house_or_purchased_house` and 3 other fields | High correlation
`is_there_any_construction_or_renovation_ongoing` is highly overall correlated with `awareness_of_electricity_consumption_of_renters` and 7 other fields | High correlation
`is_there_business_carried_out_in_the_household` is highly overall correlated with `new_no_of_storeys` and 1 other fields | High correlation
`new_electricity_meters` is highly overall correlated with `new_no_of_storeys` and 2 other fields | High correlation
`new_floor_area` is highly overall correlated with `charged_method_for_rent_for_electricity` and 3 other fields | High correlation
`new_household_members` is highly overall correlated with `new_no_of_storeys` and 1 other fields | High correlation
`new_no_of_storeys` is highly overall correlated with `changes_to_the_structure_of_household_after_w1` and 8 other fields | High correlation
`new_type_of_house` is highly overall correlated with `charged_method_for_rent_for_electricity` and 4 other fields | High correlation
`no_of_electricity_meters` is highly overall correlated with `charged_method_for_rent_for_electricity` and 5 other fields | High correlation
`occupy_renters_boarders` is highly overall correlated with `new_floor_area` and 3 other fields | High correlation
`own_the_house_or_living_on_rent` is highly overall correlated with `awareness_of_electricity_consumption_of_renters` and 9 other fields | High correlation
`renters_were_there_during_w1_or_not` is highly overall correlated with `changes_to_the_structure_of_household_after_w1` and 2 other fields | High correlation
`since_when_renters_are_living_in_household` is highly overall correlated with `changes_to_the_structure_of_household_after_w1` and 3 other fields | High correlation
`smart_metered_or_non_smart_metered` is highly overall correlated with `new_no_of_storeys` | High correlation
`type_of_business` is highly overall correlated with `is_there_any_construction_or_renovation_ongoing` and 2 other fields | High correlation
`used_insulation_material` is highly overall correlated with `considered_natural_lighting` and 2 other fields | High correlation
`new_electricity_meters` is highly imbalanced (90.8%) | Imbalance
`no_of_electricity_meters` is highly imbalanced (83.5%) | Imbalance
`own_the_house_or_living_on_rent` is highly imbalanced (73.0%) | Imbalance
`occupy_renters_boarders` is highly imbalanced (89.5%) | Imbalance
`awareness_of_electricity_consumption_of_renters` is highly imbalanced (71.3%) | Imbalance
`changes_to_the_structure_of_household_after_w1` is highly imbalanced (92.8%) | Imbalance
`renovations_done_after_w1` is highly imbalanced (69.9%) | Imbalance
`charged_method_for_rent_for_electricity` is highly imbalanced (83.4%) | Imbalance
`is_there_business_carried_out_in_the_household` is highly imbalanced (78.2%) | Imbalance
`is_there_any_construction_or_renovation_ongoing` is highly imbalanced (72.9%) | Imbalance
`no_of_electricity_meters` has 3460 (98.8%) missing values | Missing
`occupy_renters_boarders` has 385 (11.0%) missing values | Missing
`renters_were_there_during_w1_or_not` has 3434 (98.1%) missing values | Missing
`since_when_renters_are_living_in_household` has 3472 (99.2%) missing values | Missing
`awareness_of_electricity_consumption_of_renters` has 3434 (98.1%) missing values | Missing
`new_type_of_house` has 3440 (98.3%) missing values | Missing
`new_no_of_storeys` has 3497 (99.9%) missing values | Missing
`new_floor_area` has 3440 (98.3%) missing values | Missing
`built_house_or_purchased_house` has 385 (11.0%) missing values | Missing
`considered_natural_lighting` has 713 (20.4%) missing values | Missing
`considered_ventilation` has 713 (20.4%) missing values | Missing
`used_insulation_material` has 713 (20.4%) missing values | Missing
`charging_method_of_renters_for_electricity` has 3434 (98.1%) missing values | Missing
`charged_method_for_rent_for_electricity` has 3116 (89.0%) missing values | Missing
`type_of_business` has 3379 (96.5%) missing values | Missing
`other_business_activity` has 3434 (98.1%) missing values | Missing
`is_there_any_construction_or_renovation_ongoing` has 3307 (94.5%) missing values | Missing
`new_household_members` has 3138 (89.6%) zeros | Zeros

Reproduction

Analysis started | 2025-02-27 04:41:15.722745
Analysis finished | 2025-02-27 04:41:18.455707
Duration | 2.73 seconds
Software version | ydata-profiling vv4.11.0
Download configuration | config.json

# Variables

household_ID
Text

Distinct | 3500
Distinct (%) | 100.0%
Missing | 1
Missing (%) | < 0.1%
Memory size | 27.5 KiB

Length

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

Characters and Unicode

Total characters | 21000
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 | 3500 ?
Unique (%) | 100.0%

Sample

1st row | ID2464
2nd row | ID0430
3rd row | ID0424
4th row | ID0528
5th row | ID0427

Value | Count | Frequency (%)
id0759 | 1 | < 0.1%
id0426 | 1 | < 0.1%
id2464 | 1 | < 0.1%
id0430 | 1 | < 0.1%
id0424 | 1 | < 0.1%
id0528 | 1 | < 0.1%
id0427 | 1 | < 0.1%
id0886 | 1 | < 0.1%
id0041 | 1 | < 0.1%
id0039 | 1 | < 0.1%
Other values (3490) | 3490 | 99.7%

#### Most occurring characters

Value | Count | Frequency (%)
I | 3500 | 16.7%
D | 3500 | 16.7%
0 | 1975 | 9.4%
3 | 1923 | 9.2%
2 | 1910 | 9.1%
1 | 1896 | 9.0%
4 | 1094 | 5.2%
9 | 1059 | 5.0%
5 | 1056 | 5.0%
6 | 1051 | 5.0%
Other values (2) | 2036 | 9.7%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 21000 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
I | 3500 | 16.7%
D | 3500 | 16.7%
0 | 1975 | 9.4%
3 | 1923 | 9.2%
2 | 1910 | 9.1%
1 | 1896 | 9.0%
4 | 1094 | 5.2%
9 | 1059 | 5.0%
5 | 1056 | 5.0%
6 | 1051 | 5.0%
Other values (2) | 2036 | 9.7%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 21000 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
I | 3500 | 16.7%
D | 3500 | 16.7%
0 | 1975 | 9.4%
3 | 1923 | 9.2%
2 | 1910 | 9.1%
1 | 1896 | 9.0%
4 | 1094 | 5.2%
9 | 1059 | 5.0%
5 | 1056 | 5.0%
6 | 1051 | 5.0%
Other values (2) | 2036 | 9.7%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 21000 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
I | 3500 | 16.7%
D | 3500 | 16.7%
0 | 1975 | 9.4%
3 | 1923 | 9.2%
2 | 1910 | 9.1%
1 | 1896 | 9.0%
4 | 1094 | 5.2%
9 | 1059 | 5.0%
5 | 1056 | 5.0%
6 | 1051 | 5.0%
Other values (2) | 2036 | 9.7%

new_electricity_meters
Boolean

High correlation Imbalance

Distinct | 2
Distinct (%) | 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 3.5 KiB

False | 3460
True | 41

Value | Count | Frequency (%)
False | 3460 | 98.8%
True | 41 | 1.2%

no_of_electricity_meters
Categorical

High correlation Imbalance Missing

Distinct | 2
Distinct (%) | 4.9%
Missing | 3460
Missing (%) | 98.8%
Memory size | 27.5 KiB

2.0 | 40
3.0 | 1

Length

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

Characters and Unicode

Total characters | 123
Distinct characters | 4
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 (%) | 2.4%

Sample

1st row | 2.0
2nd row | 2.0
3rd row | 2.0
4th row | 2.0
5th row | 2.0

#### Common Values

Value | Count | Frequency (%)
2.0 | 40 | 1.1%
3.0 | 1 | < 0.1%
(Missing) | 3460 | 98.8%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
2.0 | 40 | 97.6%
3.0 | 1 | 2.4%

#### Most occurring characters

Value | Count | Frequency (%)
. | 41 | 33.3%
0 | 41 | 33.3%
2 | 40 | 32.5%
3 | 1 | 0.8%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 123 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
. | 41 | 33.3%
0 | 41 | 33.3%
2 | 40 | 32.5%
3 | 1 | 0.8%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 123 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
. | 41 | 33.3%
0 | 41 | 33.3%
2 | 40 | 32.5%
3 | 1 | 0.8%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 123 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
. | 41 | 33.3%
0 | 41 | 33.3%
2 | 40 | 32.5%
3 | 1 | 0.8%

own_the_house_or_living_on_rent
Categorical

High correlation Imbalance

Distinct | 4
Distinct (%) | 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 27.5 KiB

Yes, I or a household member owns it. | 3116
No, I am living on rent and the rent is paid by me or a household member. | 362
No, I or any household member does not own or rent this household. We occupy this household without any payment of rent | 20
No, I am living on rent and the rent is paid by the employer. | 3

Length

Max length | 119
Median length | 37
Mean length | 41.211368
Min length | 37

Characters and Unicode

Total characters | 144281
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 | 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. | 3116 | 89.0%
No, I am living on rent and the rent is paid by me or a household member. | 362 | 10.3%
No, I or any household member does not own or rent this household. We occupy this household without any payment of rent | 20 | 0.6%
No, I am living on rent and the rent is paid by the employer. | 3 | 0.1%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
household | 3538 | 11.2%
or | 3518 | 11.1%
i | 3501 | 11.1%
member | 3498 | 11.1%
a | 3478 | 11.0%
yes | 3116 | 9.9%
owns | 3116 | 9.9%
it | 3116 | 9.9%
rent | 770 | 2.4%
no | 385 | 1.2%
Other values (20) | 3528 | 11.2%

#### Most occurring characters

Value | Count | Frequency (%)
| 28063 | 19.5%
e | 15216 | 10.5%
o | 14583 | 10.1%
s | 10195 | 7.1%
r | 7789 | 5.4%
m | 7746 | 5.4%
h | 7504 | 5.2%
n | 5081 | 3.5%
i | 4636 | 3.2%
a | 4633 | 3.2%
Other values (18) | 38835 | 26.9%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 144281 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 28063 | 19.5%
e | 15216 | 10.5%
o | 14583 | 10.1%
s | 10195 | 7.1%
r | 7789 | 5.4%
m | 7746 | 5.4%
h | 7504 | 5.2%
n | 5081 | 3.5%
i | 4636 | 3.2%
a | 4633 | 3.2%
Other values (18) | 38835 | 26.9%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 144281 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 28063 | 19.5%
e | 15216 | 10.5%
o | 14583 | 10.1%
s | 10195 | 7.1%
r | 7789 | 5.4%
m | 7746 | 5.4%
h | 7504 | 5.2%
n | 5081 | 3.5%
i | 4636 | 3.2%
a | 4633 | 3.2%
Other values (18) | 38835 | 26.9%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 144281 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 28063 | 19.5%
e | 15216 | 10.5%
o | 14583 | 10.1%
s | 10195 | 7.1%
r | 7789 | 5.4%
m | 7746 | 5.4%
h | 7504 | 5.2%
n | 5081 | 3.5%
i | 4636 | 3.2%
a | 4633 | 3.2%
Other values (18) | 38835 | 26.9%

occupy_renters_boarders
Categorical

High correlation Imbalance Missing

Distinct | 3
Distinct (%) | 0.1%
Missing | 385
Missing (%) | 11.0%
Memory size | 27.5 KiB

I don’t occupy any of the above | 3049
Renters / boarders who are living in your annexe or any other attached place, maintaining separate living conditions but | 51
Boarders who live in your house using a room/s that is attached to your living conditions. | 16

Length

Max length | 120
Median length | 31
Mean length | 32.759628
Min length | 31

Characters and Unicode

Total characters | 102079
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 | 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 | 3049 | 87.1%
Renters / boarders who are living in your annexe or any other attached place, maintaining separate living conditions but | 51 | 1.5%
Boarders who live in your house using a room/s that is attached to your living conditions. | 16 | 0.5%
(Missing) | 385 | 11.0%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
any | 3100 | 13.7%
i | 3049 | 13.5%
don’t | 3049 | 13.5%
occupy | 3049 | 13.5%
of | 3049 | 13.5%
the | 3049 | 13.5%
above | 3049 | 13.5%
living | 118 | 0.5%
your | 83 | 0.4%
in | 67 | 0.3%
Other values (22) | 906 | 4.0%

#### Most occurring characters

Value | Count | Frequency (%)
| 19452 | 19.1%
o | 12713 | 12.5%
n | 6790 | 6.7%
a | 6739 | 6.6%
e | 6723 | 6.6%
t | 6602 | 6.5%
c | 6283 | 6.2%
y | 6232 | 6.1%
h | 3266 | 3.2%
d | 3250 | 3.2%
Other values (20) | 24029 | 23.5%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 102079 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 19452 | 19.1%
o | 12713 | 12.5%
n | 6790 | 6.7%
a | 6739 | 6.6%
e | 6723 | 6.6%
t | 6602 | 6.5%
c | 6283 | 6.2%
y | 6232 | 6.1%
h | 3266 | 3.2%
d | 3250 | 3.2%
Other values (20) | 24029 | 23.5%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 102079 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 19452 | 19.1%
o | 12713 | 12.5%
n | 6790 | 6.7%
a | 6739 | 6.6%
e | 6723 | 6.6%
t | 6602 | 6.5%
c | 6283 | 6.2%
y | 6232 | 6.1%
h | 3266 | 3.2%
d | 3250 | 3.2%
Other values (20) | 24029 | 23.5%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 102079 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 19452 | 19.1%
o | 12713 | 12.5%
n | 6790 | 6.7%
a | 6739 | 6.6%
e | 6723 | 6.6%
t | 6602 | 6.5%
c | 6283 | 6.2%
y | 6232 | 6.1%
h | 3266 | 3.2%
d | 3250 | 3.2%
Other values (20) | 24029 | 23.5%

renters_were_there_during_w1_or_not
Categorical

High correlation Missing

Distinct | 3
Distinct (%) | 4.5%
Missing | 3434
Missing (%) | 98.1%
Memory size | 27.5 KiB

They were living in this household when the 1st interview was done | 38
They started living in this household after the 1st interview was done | 20
Some were there when the first interview was done, but there are some who are new | 9

Length

Max length | 81
Median length | 66
Mean length | 69.208955
Min length | 66

Characters and Unicode

Total characters | 4637
Distinct characters | 24
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 | They started living in this household after the 1st interview was done
2nd row | They were living in this household when the 1st interview was done
3rd row | They were living in this household when the 1st interview was done
4th row | Some were there when the first interview was done, but there are some who are new
5th row | They were living in this household when the 1st interview was done

#### Common Values

Value | Count | Frequency (%)
They were living in this household when the 1st interview was done | 38 | 1.1%
They started living in this household after the 1st interview was done | 20 | 0.6%
Some were there when the first interview was done, but there are some who are new | 9 | 0.3%
(Missing) | 3434 | 98.1%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
the | 67 | 8.0%
interview | 67 | 8.0%
was | 67 | 8.0%
done | 67 | 8.0%
they | 58 | 6.9%
household | 58 | 6.9%
this | 58 | 6.9%
in | 58 | 6.9%
living | 58 | 6.9%
1st | 58 | 6.9%
Other values (11) | 224 | 26.7%

#### Most occurring characters

Value | Count | Frequency (%)
| 773 | 16.7%
e | 646 | 13.9%
i | 375 | 8.1%
h | 373 | 8.0%
t | 346 | 7.5%
n | 306 | 6.6%
s | 279 | 6.0%
w | 246 | 5.3%
o | 210 | 4.5%
r | 199 | 4.3%
Other values (14) | 884 | 19.1%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 4637 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 773 | 16.7%
e | 646 | 13.9%
i | 375 | 8.1%
h | 373 | 8.0%
t | 346 | 7.5%
n | 306 | 6.6%
s | 279 | 6.0%
w | 246 | 5.3%
o | 210 | 4.5%
r | 199 | 4.3%
Other values (14) | 884 | 19.1%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 4637 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 773 | 16.7%
e | 646 | 13.9%
i | 375 | 8.1%
h | 373 | 8.0%
t | 346 | 7.5%
n | 306 | 6.6%
s | 279 | 6.0%
w | 246 | 5.3%
o | 210 | 4.5%
r | 199 | 4.3%
Other values (14) | 884 | 19.1%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 4637 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 773 | 16.7%
e | 646 | 13.9%
i | 375 | 8.1%
h | 373 | 8.0%
t | 346 | 7.5%
n | 306 | 6.6%
s | 279 | 6.0%
w | 246 | 5.3%
o | 210 | 4.5%
r | 199 | 4.3%
Other values (14) | 884 | 19.1%

since_when_renters_are_living_in_household
Categorical

High correlation Missing

Distinct | 8
Distinct (%) | 27.6%
Missing | 3472
Missing (%) | 99.2%
Memory size | 27.5 KiB

August 2024 | 9
May 2024 | 5
September 2024 | 5
February 2024 | 3
July 2024 | 2
Other values (3) | 5

Length

Max length | 14
Median length | 11
Mean length | 10.482759
Min length | 5

Characters and Unicode

Total characters | 304
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 | 1 ?
Unique (%) | 3.4%

Sample

1st row | August 2024
2nd row | August 2024
3rd row | February 2024
4th row | August 2024
5th row | March 2024

#### Common Values

Value | Count | Frequency (%)
August 2024 | 9 | 0.3%
May 2024 | 5 | 0.1%
September 2024 | 5 | 0.1%
February 2024 | 3 | 0.1%
July 2024 | 2 | 0.1%
June 2024 | 2 | 0.1%
Other | 2 | 0.1%
March 2024 | 1 | < 0.1%
(Missing) | 3472 | 99.2%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
2024 | 27 | 48.2%
august | 9 | 16.1%
may | 5 | 8.9%
september | 5 | 8.9%
february | 3 | 5.4%
july | 2 | 3.6%
june | 2 | 3.6%
other | 2 | 3.6%
march | 1 | 1.8%

#### Most occurring characters

Value | Count | Frequency (%)
2 | 54 | 17.8%
| 27 | 8.9%
4 | 27 | 8.9%
0 | 27 | 8.9%
u | 25 | 8.2%
e | 22 | 7.2%
t | 16 | 5.3%
r | 14 | 4.6%
y | 10 | 3.3%
g | 9 | 3.0%
Other values (15) | 73 | 24.0%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 304 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
2 | 54 | 17.8%
| 27 | 8.9%
4 | 27 | 8.9%
0 | 27 | 8.9%
u | 25 | 8.2%
e | 22 | 7.2%
t | 16 | 5.3%
r | 14 | 4.6%
y | 10 | 3.3%
g | 9 | 3.0%
Other values (15) | 73 | 24.0%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 304 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
2 | 54 | 17.8%
| 27 | 8.9%
4 | 27 | 8.9%
0 | 27 | 8.9%
u | 25 | 8.2%
e | 22 | 7.2%
t | 16 | 5.3%
r | 14 | 4.6%
y | 10 | 3.3%
g | 9 | 3.0%
Other values (15) | 73 | 24.0%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 304 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
2 | 54 | 17.8%
| 27 | 8.9%
4 | 27 | 8.9%
0 | 27 | 8.9%
u | 25 | 8.2%
e | 22 | 7.2%
t | 16 | 5.3%
r | 14 | 4.6%
y | 10 | 3.3%
g | 9 | 3.0%
Other values (15) | 73 | 24.0%

awareness_of_electricity_consumption_of_renters
Categorical

High correlation Imbalance Missing

Distinct | 3
Distinct (%) | 4.5%
Missing | 3434
Missing (%) | 98.1%
Memory size | 27.5 KiB

I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the | 62
i know some details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the nu | 3
I do not know any details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and | 2

Length

Max length | 120
Median length | 120
Mean length | 119.97015
Min length | 119

Characters and Unicode

Total characters | 8038
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 | I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the
2nd row | I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the
3rd row | I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the
4th row | I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the
5th row | I know all the details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the

#### 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 | 62 | 1.8%
i know some details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and the nu | 3 | 0.1%
I do not know any details about the electricity consumption of the renters/ boarders; i.e.; the appliances they use and | 2 | 0.1%
(Missing) | 3434 | 98.1%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
the | 328 | 24.5%
i | 67 | 5.0%
know | 67 | 5.0%
details | 67 | 5.0%
about | 67 | 5.0%
they | 67 | 5.0%
electricity | 67 | 5.0%
consumption | 67 | 5.0%
of | 67 | 5.0%
renters | 67 | 5.0%
Other values (11) | 409 | 30.5%

#### Most occurring characters

Value | Count | Frequency (%)
| 1273 | 15.8%
e | 1001 | 12.5%
t | 799 | 9.9%
a | 466 | 5.8%
o | 409 | 5.1%
n | 409 | 5.1%
i | 405 | 5.0%
s | 405 | 5.0%
h | 395 | 4.9%
r | 335 | 4.2%
Other values (15) | 2141 | 26.6%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 8038 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 1273 | 15.8%
e | 1001 | 12.5%
t | 799 | 9.9%
a | 466 | 5.8%
o | 409 | 5.1%
n | 409 | 5.1%
i | 405 | 5.0%
s | 405 | 5.0%
h | 395 | 4.9%
r | 335 | 4.2%
Other values (15) | 2141 | 26.6%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 8038 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 1273 | 15.8%
e | 1001 | 12.5%
t | 799 | 9.9%
a | 466 | 5.8%
o | 409 | 5.1%
n | 409 | 5.1%
i | 405 | 5.0%
s | 405 | 5.0%
h | 395 | 4.9%
r | 335 | 4.2%
Other values (15) | 2141 | 26.6%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 8038 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 1273 | 15.8%
e | 1001 | 12.5%
t | 799 | 9.9%
a | 466 | 5.8%
o | 409 | 5.1%
n | 409 | 5.1%
i | 405 | 5.0%
s | 405 | 5.0%
h | 395 | 4.9%
r | 335 | 4.2%
Other values (15) | 2141 | 26.6%

changes_to_the_structure_of_household_after_w1
Categorical

High correlation Imbalance

Distinct | 4
Distinct (%) | 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 27.5 KiB

No structural changes were done to the household | 3440
Yes, new parts were added only | 46
Yes, some parts were dismantled only | 12
Yes, some new parts were added to the household and some parts were dismantled | 3

Length

Max length | 78
Median length | 48
Mean length | 47.748072
Min length | 30

Characters and Unicode

Total characters | 167166
Distinct characters | 22
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 | No structural changes were done to the household
2nd row | No structural changes were done to the household
3rd row | No structural changes were done to the household
4th row | No structural changes were done to the household
5th row | No structural changes were done to the household

#### Common Values

Value | Count | Frequency (%)
No structural changes were done to the household | 3440 | 98.3%
Yes, new parts were added only | 46 | 1.3%
Yes, some parts were dismantled only | 12 | 0.3%
Yes, some new parts were added to the household and some parts were dismantled | 3 | 0.1%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
were | 3504 | 12.6%
household | 3443 | 12.3%
the | 3443 | 12.3%
to | 3443 | 12.3%
changes | 3440 | 12.3%
structural | 3440 | 12.3%
no | 3440 | 12.3%
done | 3440 | 12.3%
parts | 64 | 0.2%
yes | 61 | 0.2%
Other values (6) | 192 | 0.7%

#### Most occurring characters

Value | Count | Frequency (%)
| 24409 | 14.6%
e | 20966 | 12.5%
o | 17285 | 10.3%
t | 13845 | 8.3%
h | 13769 | 8.2%
s | 10481 | 6.3%
r | 10448 | 6.3%
u | 10323 | 6.2%
d | 7063 | 4.2%
a | 7011 | 4.2%
Other values (12) | 31566 | 18.9%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 167166 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 24409 | 14.6%
e | 20966 | 12.5%
o | 17285 | 10.3%
t | 13845 | 8.3%
h | 13769 | 8.2%
s | 10481 | 6.3%
r | 10448 | 6.3%
u | 10323 | 6.2%
d | 7063 | 4.2%
a | 7011 | 4.2%
Other values (12) | 31566 | 18.9%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 167166 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 24409 | 14.6%
e | 20966 | 12.5%
o | 17285 | 10.3%
t | 13845 | 8.3%
h | 13769 | 8.2%
s | 10481 | 6.3%
r | 10448 | 6.3%
u | 10323 | 6.2%
d | 7063 | 4.2%
a | 7011 | 4.2%
Other values (12) | 31566 | 18.9%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 167166 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 24409 | 14.6%
e | 20966 | 12.5%
o | 17285 | 10.3%
t | 13845 | 8.3%
h | 13769 | 8.2%
s | 10481 | 6.3%
r | 10448 | 6.3%
u | 10323 | 6.2%
d | 7063 | 4.2%
a | 7011 | 4.2%
Other values (12) | 31566 | 18.9%

renovations_done_after_w1
Boolean

Imbalance

Distinct | 2
Distinct (%) | 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 3.5 KiB

False | 3314
True | 187

Value | Count | Frequency (%)
False | 3314 | 94.7%
True | 187 | 5.3%

new_type_of_house
Categorical

High correlation Missing

Distinct | 4
Distinct (%) | 6.6%
Missing | 3440
Missing (%) | 98.3%
Memory size | 27.5 KiB

Single House - Single Floor | 44
Single House -Double Floor | 13
Other | 3
Single House – More than 2 floors | 1

Length

Max length | 33
Median length | 27
Mean length | 25.803279
Min length | 5

Characters and Unicode

Total characters | 1574
Distinct characters | 24
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 (%) | 1.6%

Sample

1st row | Single House -Double Floor
2nd row | Single House - Single Floor
3rd row | Single House - Single Floor
4th row | Single House – More than 2 floors
5th row | Single House - Single Floor

#### Common Values

Value | Count | Frequency (%)
Single House - Single Floor | 44 | 1.3%
Single House -Double Floor | 13 | 0.4%
Other | 3 | 0.1%
Single House – More than 2 floors | 1 | < 0.1%
(Missing) | 3440 | 98.3%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
single | 102 | 36.2%
house | 58 | 20.6%
floor | 57 | 20.2%
| 44 | 15.6%
double | 13 | 4.6%
other | 3 | 1.1%
– | 1 | 0.4%
more | 1 | 0.4%
than | 1 | 0.4%
2 | 1 | 0.4%

#### Most occurring characters

Value | Count | Frequency (%)
| 221 | 14.0%
o | 188 | 11.9%
e | 177 | 11.2%
l | 173 | 11.0%
n | 103 | 6.5%
g | 102 | 6.5%
S | 102 | 6.5%
i | 102 | 6.5%
u | 71 | 4.5%
r | 62 | 3.9%
Other values (14) | 273 | 17.3%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 1574 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 221 | 14.0%
o | 188 | 11.9%
e | 177 | 11.2%
l | 173 | 11.0%
n | 103 | 6.5%
g | 102 | 6.5%
S | 102 | 6.5%
i | 102 | 6.5%
u | 71 | 4.5%
r | 62 | 3.9%
Other values (14) | 273 | 17.3%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 1574 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 221 | 14.0%
o | 188 | 11.9%
e | 177 | 11.2%
l | 173 | 11.0%
n | 103 | 6.5%
g | 102 | 6.5%
S | 102 | 6.5%
i | 102 | 6.5%
u | 71 | 4.5%
r | 62 | 3.9%
Other values (14) | 273 | 17.3%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 1574 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 221 | 14.0%
o | 188 | 11.9%
e | 177 | 11.2%
l | 173 | 11.0%
n | 103 | 6.5%
g | 102 | 6.5%
S | 102 | 6.5%
i | 102 | 6.5%
u | 71 | 4.5%
r | 62 | 3.9%
Other values (14) | 273 | 17.3%

new_no_of_storeys
Categorical

High correlation Missing

Distinct | 3
Distinct (%) | 75.0%
Missing | 3497
Missing (%) | 99.9%
Memory size | 27.5 KiB

999.0 | 2
2.0 | 1
1.0 | 1

Length

Max length | 5
Median length | 4
Mean length | 4
Min length | 3

Characters and Unicode

Total characters | 16
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 | 2 ?
Unique (%) | 50.0%

Sample

1st row | 2.0
2nd row | 999.0
3rd row | 1.0
4th row | 999.0

#### Common Values

Value | Count | Frequency (%)
999.0 | 2 | 0.1%
2.0 | 1 | < 0.1%
1.0 | 1 | < 0.1%
(Missing) | 3497 | 99.9%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
999.0 | 2 | 50.0%
2.0 | 1 | 25.0%
1.0 | 1 | 25.0%

#### Most occurring characters

Value | Count | Frequency (%)
9 | 6 | 37.5%
. | 4 | 25.0%
0 | 4 | 25.0%
2 | 1 | 6.2%
1 | 1 | 6.2%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 16 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
9 | 6 | 37.5%
. | 4 | 25.0%
0 | 4 | 25.0%
2 | 1 | 6.2%
1 | 1 | 6.2%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 16 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
9 | 6 | 37.5%
. | 4 | 25.0%
0 | 4 | 25.0%
2 | 1 | 6.2%
1 | 1 | 6.2%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 16 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
9 | 6 | 37.5%
. | 4 | 25.0%
0 | 4 | 25.0%
2 | 1 | 6.2%
1 | 1 | 6.2%

new_floor_area
Real number (ℝ)

High correlation Missing

Distinct | 31
Distinct (%) | 50.8%
Missing | 3440
Missing (%) | 98.3%
Infinite | 0
Infinite (%) | 0.0%
Mean | 1153.1516

Minimum | 384
Maximum | 3200
Zeros | 0
Zeros (%) | 0.0%
Negative | 0
Negative (%) | 0.0%
Memory size | 27.5 KiB

Quantile statistics

Minimum | 384
5-th percentile | 450
Q1 | 800
median | 999
Q3 | 1500
95-th percentile | 2500
Maximum | 3200
Range | 2816
Interquartile range (IQR) | 700

Descriptive statistics

Standard deviation | 605.89492
Coefficient of variation (CV) | 0.52542519
Kurtosis | 1.9344677
Mean | 1153.1516
Median Absolute Deviation (MAD) | 201
Skewness | 1.4021443
Sum | 70342.25
Variance | 367108.65
Monotonicity | Not monotonic

Histogram with fixed size bins (bins=31)

Value | Count | Frequency (%)
999 | 7 | 0.2%
1200 | 6 | 0.2%
800 | 5 | 0.1%
1500 | 4 | 0.1%
1000 | 4 | 0.1%
900 | 3 | 0.1%
500 | 3 | 0.1%
700 | 3 | 0.1%
2500 | 2 | 0.1%
2000 | 2 | 0.1%
Other values (21) | 22 | 0.6%
(Missing) | 3440 | 98.3%

Value | Count | Frequency (%)
384 | 1 | < 0.1%
400 | 1 | < 0.1%
440 | 1 | < 0.1%
450 | 1 | < 0.1%
475 | 1 | < 0.1%
500 | 3 | 0.1%
600 | 1 | < 0.1%
700 | 3 | 0.1%
748 | 1 | < 0.1%
750 | 1 | < 0.1%

Value | Count | Frequency (%)
3200 | 1 | < 0.1%
2800 | 1 | < 0.1%
2500 | 2 | 0.1%
2300 | 1 | < 0.1%
2000 | 2 | 0.1%
1800 | 2 | 0.1%
1750 | 1 | < 0.1%
1722 | 1 | < 0.1%
1560 | 1 | < 0.1%
1500 | 4 | 0.1%

built_house_or_purchased_house
Categorical

High correlation Missing

Distinct | 3
Distinct (%) | 0.1%
Missing | 385
Missing (%) | 11.0%
Memory size | 27.5 KiB

Built the house and I was involved in building | 2064
Built the house but I was not involved in building | 724
Purchased the house | 328

Length

Max length | 50
Median length | 46
Mean length | 44.087291
Min length | 19

Characters and Unicode

Total characters | 137376
Distinct characters | 21
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 | Built the house and I was involved in building
2nd row | Built the house and I was involved in building
3rd row | Built the house but I was not involved in building
4th row | Built the house and I was involved in building
5th row | Built the house and I was involved in building

#### Common Values

Value | Count | Frequency (%)
Built the house and I was involved in building | 2064 | 59.0%
Built the house but I was not involved in building | 724 | 20.7%
Purchased the house | 328 | 9.4%
(Missing) | 385 | 11.0%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
the | 3116 | 11.6%
house | 3116 | 11.6%
built | 2788 | 10.4%
i | 2788 | 10.4%
building | 2788 | 10.4%
was | 2788 | 10.4%
involved | 2788 | 10.4%
in | 2788 | 10.4%
and | 2064 | 7.7%
but | 724 | 2.7%
Other values (2) | 1052 | 3.9%

#### Most occurring characters

Value | Count | Frequency (%)
| 23684 | 17.2%
i | 13940 | 10.1%
n | 11152 | 8.1%
u | 9744 | 7.1%
e | 9348 | 6.8%
l | 8364 | 6.1%
d | 7968 | 5.8%
t | 7352 | 5.4%
o | 6628 | 4.8%
h | 6560 | 4.8%
Other values (11) | 32636 | 23.8%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 137376 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 23684 | 17.2%
i | 13940 | 10.1%
n | 11152 | 8.1%
u | 9744 | 7.1%
e | 9348 | 6.8%
l | 8364 | 6.1%
d | 7968 | 5.8%
t | 7352 | 5.4%
o | 6628 | 4.8%
h | 6560 | 4.8%
Other values (11) | 32636 | 23.8%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 137376 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 23684 | 17.2%
i | 13940 | 10.1%
n | 11152 | 8.1%
u | 9744 | 7.1%
e | 9348 | 6.8%
l | 8364 | 6.1%
d | 7968 | 5.8%
t | 7352 | 5.4%
o | 6628 | 4.8%
h | 6560 | 4.8%
Other values (11) | 32636 | 23.8%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 137376 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 23684 | 17.2%
i | 13940 | 10.1%
n | 11152 | 8.1%
u | 9744 | 7.1%
e | 9348 | 6.8%
l | 8364 | 6.1%
d | 7968 | 5.8%
t | 7352 | 5.4%
o | 6628 | 4.8%
h | 6560 | 4.8%
Other values (11) | 32636 | 23.8%

considered_natural_lighting
Categorical

High correlation Missing

Distinct | 3
Distinct (%) | 0.1%
Missing | 713
Missing (%) | 20.4%
Memory size | 27.5 KiB

Yes | 1997
Don't know | 441
No | 350

Length

Max length | 10
Median length | 3
Mean length | 3.9817073
Min length | 2

Characters and Unicode

Total characters | 11101
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 | Yes
2nd row | Yes
3rd row | Don't know
4th row | Yes
5th row | Yes

#### Common Values

Value | Count | Frequency (%)
Yes | 1997 | 57.0%
Don't know | 441 | 12.6%
No | 350 | 10.0%
(Missing) | 713 | 20.4%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
yes | 1997 | 61.8%
don't | 441 | 13.7%
know | 441 | 13.7%
no | 350 | 10.8%

#### Most occurring characters

Value | Count | Frequency (%)
Y | 1997 | 18.0%
e | 1997 | 18.0%
s | 1997 | 18.0%
o | 1232 | 11.1%
n | 882 | 7.9%
D | 441 | 4.0%
' | 441 | 4.0%
t | 441 | 4.0%
| 441 | 4.0%
k | 441 | 4.0%
Other values (2) | 791 | 7.1%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 11101 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
Y | 1997 | 18.0%
e | 1997 | 18.0%
s | 1997 | 18.0%
o | 1232 | 11.1%
n | 882 | 7.9%
D | 441 | 4.0%
' | 441 | 4.0%
t | 441 | 4.0%
| 441 | 4.0%
k | 441 | 4.0%
Other values (2) | 791 | 7.1%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 11101 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
Y | 1997 | 18.0%
e | 1997 | 18.0%
s | 1997 | 18.0%
o | 1232 | 11.1%
n | 882 | 7.9%
D | 441 | 4.0%
' | 441 | 4.0%
t | 441 | 4.0%
| 441 | 4.0%
k | 441 | 4.0%
Other values (2) | 791 | 7.1%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 11101 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
Y | 1997 | 18.0%
e | 1997 | 18.0%
s | 1997 | 18.0%
o | 1232 | 11.1%
n | 882 | 7.9%
D | 441 | 4.0%
' | 441 | 4.0%
t | 441 | 4.0%
| 441 | 4.0%
k | 441 | 4.0%
Other values (2) | 791 | 7.1%

considered_ventilation
Categorical

High correlation Missing

Distinct | 3
Distinct (%) | 0.1%
Missing | 713
Missing (%) | 20.4%
Memory size | 27.5 KiB

Yes | 2062
Don't know | 416
No | 310

Length

Max length | 10
Median length | 3
Mean length | 3.9332855
Min length | 2

Characters and Unicode

Total characters | 10966
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 | Yes
2nd row | Yes
3rd row | Don't know
4th row | Yes
5th row | Yes

#### Common Values

Value | Count | Frequency (%)
Yes | 2062 | 58.9%
Don't know | 416 | 11.9%
No | 310 | 8.9%
(Missing) | 713 | 20.4%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
yes | 2062 | 64.4%
don't | 416 | 13.0%
know | 416 | 13.0%
no | 310 | 9.7%

#### Most occurring characters

Value | Count | Frequency (%)
Y | 2062 | 18.8%
e | 2062 | 18.8%
s | 2062 | 18.8%
o | 1142 | 10.4%
n | 832 | 7.6%
D | 416 | 3.8%
' | 416 | 3.8%
t | 416 | 3.8%
| 416 | 3.8%
k | 416 | 3.8%
Other values (2) | 726 | 6.6%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 10966 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
Y | 2062 | 18.8%
e | 2062 | 18.8%
s | 2062 | 18.8%
o | 1142 | 10.4%
n | 832 | 7.6%
D | 416 | 3.8%
' | 416 | 3.8%
t | 416 | 3.8%
| 416 | 3.8%
k | 416 | 3.8%
Other values (2) | 726 | 6.6%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 10966 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
Y | 2062 | 18.8%
e | 2062 | 18.8%
s | 2062 | 18.8%
o | 1142 | 10.4%
n | 832 | 7.6%
D | 416 | 3.8%
' | 416 | 3.8%
t | 416 | 3.8%
| 416 | 3.8%
k | 416 | 3.8%
Other values (2) | 726 | 6.6%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 10966 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
Y | 2062 | 18.8%
e | 2062 | 18.8%
s | 2062 | 18.8%
o | 1142 | 10.4%
n | 832 | 7.6%
D | 416 | 3.8%
' | 416 | 3.8%
t | 416 | 3.8%
| 416 | 3.8%
k | 416 | 3.8%
Other values (2) | 726 | 6.6%

used_insulation_material
Categorical

High correlation Missing

Distinct | 3
Distinct (%) | 0.1%
Missing | 713
Missing (%) | 20.4%
Memory size | 27.5 KiB

Yes | 1749
Don't know | 577
No | 462

Length

Max length | 10
Median length | 3
Mean length | 4.2829986
Min length | 2

Characters and Unicode

Total characters | 11941
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 | Yes
2nd row | Yes
3rd row | Don't know
4th row | Yes
5th row | Yes

#### Common Values

Value | Count | Frequency (%)
Yes | 1749 | 50.0%
Don't know | 577 | 16.5%
No | 462 | 13.2%
(Missing) | 713 | 20.4%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
yes | 1749 | 52.0%
don't | 577 | 17.1%
know | 577 | 17.1%
no | 462 | 13.7%

#### Most occurring characters

Value | Count | Frequency (%)
Y | 1749 | 14.6%
e | 1749 | 14.6%
s | 1749 | 14.6%
o | 1616 | 13.5%
n | 1154 | 9.7%
D | 577 | 4.8%
' | 577 | 4.8%
t | 577 | 4.8%
| 577 | 4.8%
k | 577 | 4.8%
Other values (2) | 1039 | 8.7%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 11941 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
Y | 1749 | 14.6%
e | 1749 | 14.6%
s | 1749 | 14.6%
o | 1616 | 13.5%
n | 1154 | 9.7%
D | 577 | 4.8%
' | 577 | 4.8%
t | 577 | 4.8%
| 577 | 4.8%
k | 577 | 4.8%
Other values (2) | 1039 | 8.7%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 11941 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
Y | 1749 | 14.6%
e | 1749 | 14.6%
s | 1749 | 14.6%
o | 1616 | 13.5%
n | 1154 | 9.7%
D | 577 | 4.8%
' | 577 | 4.8%
t | 577 | 4.8%
| 577 | 4.8%
k | 577 | 4.8%
Other values (2) | 1039 | 8.7%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 11941 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
Y | 1749 | 14.6%
e | 1749 | 14.6%
s | 1749 | 14.6%
o | 1616 | 13.5%
n | 1154 | 9.7%
D | 577 | 4.8%
' | 577 | 4.8%
t | 577 | 4.8%
| 577 | 4.8%
k | 577 | 4.8%
Other values (2) | 1039 | 8.7%

new_household_members
Real number (ℝ)

High correlation Zeros

Distinct | 9
Distinct (%) | 0.3%
Missing | 0
Missing (%) | 0.0%
Infinite | 0
Infinite (%) | 0.0%
Mean | 0.20222793

Minimum | 0
Maximum | 12
Zeros | 3138
Zeros (%) | 89.6%
Negative | 0
Negative (%) | 0.0%
Memory size | 27.5 KiB

Quantile statistics

Minimum | 0
5-th percentile | 0
Q1 | 0
median | 0
Q3 | 0
95-th percentile | 1
Maximum | 12
Range | 12
Interquartile range (IQR) | 0

Descriptive statistics

Standard deviation | 0.74427772
Coefficient of variation (CV) | 3.6803902
Kurtosis | 41.13646
Mean | 0.20222793
Median Absolute Deviation (MAD) | 0
Skewness | 5.4172815
Sum | 708
Variance | 0.55394932
Monotonicity | Not monotonic

Histogram with fixed size bins (bins=9)

Value | Count | Frequency (%)
0 | 3138 | 89.6%
1 | 192 | 5.5%
2 | 81 | 2.3%
3 | 46 | 1.3%
4 | 23 | 0.7%
5 | 12 | 0.3%
6 | 4 | 0.1%
7 | 4 | 0.1%
12 | 1 | < 0.1%

Value | Count | Frequency (%)
0 | 3138 | 89.6%
1 | 192 | 5.5%
2 | 81 | 2.3%
3 | 46 | 1.3%
4 | 23 | 0.7%
5 | 12 | 0.3%
6 | 4 | 0.1%
7 | 4 | 0.1%
12 | 1 | < 0.1%

Value | Count | Frequency (%)
12 | 1 | < 0.1%
7 | 4 | 0.1%
6 | 4 | 0.1%
5 | 12 | 0.3%
4 | 23 | 0.7%
3 | 46 | 1.3%
2 | 81 | 2.3%
1 | 192 | 5.5%
0 | 3138 | 89.6%

charging_method_of_renters_for_electricity
Categorical

High correlation Missing

Distinct | 5
Distinct (%) | 7.5%
Missing | 3434
Missing (%) | 98.1%
Memory size | 27.5 KiB

You charge a fixed amount every month for electricity. | 28
You don’t charge them for electricity consumption | 22
You charge an amount for electricity depending on the variance of the bill. | 12
You don't charge a specific amount for electricity but charge a fixed amount for all the utilities such as electricity, | 4
You don't charge a specific amount for electricity but charge a varied amount for all the utilities such as electricity, | 1

Length

Max length | 120
Median length | 119
Mean length | 60.985075
Min length | 49

Characters and Unicode

Total characters | 4086
Distinct characters | 27
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 (%) | 1.5%

Sample

1st row | You don’t charge them for electricity consumption
2nd row | You don't charge a specific amount for electricity but charge a fixed amount for all the utilities such as electricity,
3rd row | You charge a fixed amount every month for electricity.
4th row | You don’t charge them for electricity consumption
5th row | You don’t charge them for electricity consumption

#### Common Values

Value | Count | Frequency (%)
You charge a fixed amount every month for electricity. | 28 | 0.8%
You don’t charge them for electricity consumption | 22 | 0.6%
You charge an amount for electricity depending on the variance of the bill. | 12 | 0.3%
You don't charge a specific amount for electricity but charge a fixed amount for all the utilities such as electricity, | 4 | 0.1%
You don't charge a specific amount for electricity but charge a varied amount for all the utilities such as electricity, | 1 | < 0.1%
(Missing) | 3434 | 98.1%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
charge | 72 | 10.9%
for | 72 | 10.9%
electricity | 72 | 10.9%
you | 67 | 10.1%
amount | 50 | 7.6%
a | 38 | 5.7%
fixed | 32 | 4.8%
the | 29 | 4.4%
month | 28 | 4.2%
every | 28 | 4.2%
Other values (17) | 174 | 26.3%

#### Most occurring characters

Value | Count | Frequency (%)
| 595 | 14.6%
e | 402 | 9.8%
t | 337 | 8.2%
o | 312 | 7.6%
c | 265 | 6.5%
i | 260 | 6.4%
r | 257 | 6.3%
n | 209 | 5.1%
a | 207 | 5.1%
h | 156 | 3.8%
Other values (17) | 1086 | 26.6%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 4086 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 595 | 14.6%
e | 402 | 9.8%
t | 337 | 8.2%
o | 312 | 7.6%
c | 265 | 6.5%
i | 260 | 6.4%
r | 257 | 6.3%
n | 209 | 5.1%
a | 207 | 5.1%
h | 156 | 3.8%
Other values (17) | 1086 | 26.6%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 4086 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 595 | 14.6%
e | 402 | 9.8%
t | 337 | 8.2%
o | 312 | 7.6%
c | 265 | 6.5%
i | 260 | 6.4%
r | 257 | 6.3%
n | 209 | 5.1%
a | 207 | 5.1%
h | 156 | 3.8%
Other values (17) | 1086 | 26.6%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 4086 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 595 | 14.6%
e | 402 | 9.8%
t | 337 | 8.2%
o | 312 | 7.6%
c | 265 | 6.5%
i | 260 | 6.4%
r | 257 | 6.3%
n | 209 | 5.1%
a | 207 | 5.1%
h | 156 | 3.8%
Other values (17) | 1086 | 26.6%

charged_method_for_rent_for_electricity
Categorical

High correlation Imbalance Missing

Distinct | 5
Distinct (%) | 1.3%
Missing | 3116
Missing (%) | 89.0%
Memory size | 27.5 KiB

You pay the full amount of the electricity bill. | 364
You pay a fixed amount to the owner every month for electricity. | 10
You don’t pay the owner for electricity consumption | 9
You pay a varied amount to the owner every month for electricity. The amount paid varies depending on the variance of th | 1
You don't pay a specific amount for electricity, but pay a fixed amount for all the utilities such as electricity, water | 1

Length

Max length | 120
Median length | 48
Mean length | 48.85974
Min length | 48

Characters and Unicode

Total characters | 18811
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 | 2 ?
Unique (%) | 0.5%

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 pay the full amount of the electricity bill.
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. | 364 | 10.4%
You pay a fixed amount to the owner every month for electricity. | 10 | 0.3%
You don’t pay the owner for electricity consumption | 9 | 0.3%
You pay a varied amount to the owner every month for electricity. The amount paid varies depending on the variance of th | 1 | < 0.1%
You don't pay a specific amount for electricity, but pay a fixed amount for all the utilities such as electricity, water | 1 | < 0.1%
(Missing) | 3116 | 89.0%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
the | 751 | 21.4%
pay | 386 | 11.0%
electricity | 386 | 11.0%
you | 385 | 11.0%
amount | 378 | 10.8%
of | 365 | 10.4%
full | 364 | 10.4%
bill | 364 | 10.4%
for | 22 | 0.6%
owner | 20 | 0.6%
Other values (22) | 90 | 2.6%

#### Most occurring characters

Value | Count | Frequency (%)
| 3126 | 16.6%
t | 1946 | 10.3%
l | 1845 | 9.8%
e | 1584 | 8.4%
o | 1221 | 6.5%
i | 1166 | 6.2%
u | 1139 | 6.1%
c | 785 | 4.2%
a | 785 | 4.2%
y | 783 | 4.2%
Other values (19) | 4431 | 23.6%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 18811 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 3126 | 16.6%
t | 1946 | 10.3%
l | 1845 | 9.8%
e | 1584 | 8.4%
o | 1221 | 6.5%
i | 1166 | 6.2%
u | 1139 | 6.1%
c | 785 | 4.2%
a | 785 | 4.2%
y | 783 | 4.2%
Other values (19) | 4431 | 23.6%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 18811 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 3126 | 16.6%
t | 1946 | 10.3%
l | 1845 | 9.8%
e | 1584 | 8.4%
o | 1221 | 6.5%
i | 1166 | 6.2%
u | 1139 | 6.1%
c | 785 | 4.2%
a | 785 | 4.2%
y | 783 | 4.2%
Other values (19) | 4431 | 23.6%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 18811 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 3126 | 16.6%
t | 1946 | 10.3%
l | 1845 | 9.8%
e | 1584 | 8.4%
o | 1221 | 6.5%
i | 1166 | 6.2%
u | 1139 | 6.1%
c | 785 | 4.2%
a | 785 | 4.2%
y | 783 | 4.2%
Other values (19) | 4431 | 23.6%

is_there_business_carried_out_in_the_household
Boolean

High correlation Imbalance

Distinct | 2
Distinct (%) | 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 3.5 KiB

False | 3379
True | 122

Value | Count | Frequency (%)
False | 3379 | 96.5%
True | 122 | 3.5%

type_of_business
Categorical

High correlation Missing

Distinct | 3
Distinct (%) | 2.5%
Missing | 3379
Missing (%) | 96.5%
Memory size | 27.5 KiB

Other | 67
A shop | 53
A communication | 2

Length

Max length | 15
Median length | 5
Mean length | 5.5983607
Min length | 5

Characters and Unicode

Total characters | 683
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 | Other
2nd row | Other
3rd row | Other
4th row | Other
5th row | A shop

#### Common Values

Value | Count | Frequency (%)
Other | 67 | 1.9%
A shop | 53 | 1.5%
A communication | 2 | 0.1%
(Missing) | 3379 | 96.5%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
other | 67 | 37.9%
a | 55 | 31.1%
shop | 53 | 29.9%
communication | 2 | 1.1%

#### Most occurring characters

Value | Count | Frequency (%)
h | 120 | 17.6%
t | 69 | 10.1%
O | 67 | 9.8%
e | 67 | 9.8%
r | 67 | 9.8%
o | 57 | 8.3%
| 55 | 8.1%
A | 55 | 8.1%
s | 53 | 7.8%
p | 53 | 7.8%
Other values (6) | 20 | 2.9%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 683 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
h | 120 | 17.6%
t | 69 | 10.1%
O | 67 | 9.8%
e | 67 | 9.8%
r | 67 | 9.8%
o | 57 | 8.3%
| 55 | 8.1%
A | 55 | 8.1%
s | 53 | 7.8%
p | 53 | 7.8%
Other values (6) | 20 | 2.9%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 683 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
h | 120 | 17.6%
t | 69 | 10.1%
O | 67 | 9.8%
e | 67 | 9.8%
r | 67 | 9.8%
o | 57 | 8.3%
| 55 | 8.1%
A | 55 | 8.1%
s | 53 | 7.8%
p | 53 | 7.8%
Other values (6) | 20 | 2.9%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 683 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
h | 120 | 17.6%
t | 69 | 10.1%
O | 67 | 9.8%
e | 67 | 9.8%
r | 67 | 9.8%
o | 57 | 8.3%
| 55 | 8.1%
A | 55 | 8.1%
s | 53 | 7.8%
p | 53 | 7.8%
Other values (6) | 20 | 2.9%

other_business_activity
Text

Missing

Distinct | 64
Distinct (%) | 95.5%
Missing | 3434
Missing (%) | 98.1%
Memory size | 27.5 KiB

Length

Max length | 54
Median length | 17
Mean length | 12.089552
Min length | 4

Characters and Unicode

Total characters | 810
Distinct characters | 83
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 | 62 ?
Unique (%) | 92.5%

Sample

1st row | ඇදුම් මැසීම
2nd row | ඇදුම් මැසීම
3rd row | ඇදුම් මැසීම
4th row | ලී කැටයම් වියපාරය
5th row | gabadavak

Value | Count | Frequency (%)
එකක් | 5 | 3.6%
ඇදුම් | 4 | 2.9%
මැසීම | 4 | 2.9%
mahanawa | 3 | 2.2%
wadu | 3 | 2.2%
mhum | 3 | 2.2%
office | 2 | 1.5%
wdapala | 2 | 1.5%
maduwa | 2 | 1.5%
garment | 2 | 1.5%
Other values (101) | 107 | 78.1%

#### Most occurring characters

Value | Count | Frequency (%)
a | 109 | 13.5%
| 74 | 9.1%
e | 32 | 4.0%
w | 26 | 3.2%
s | 26 | 3.2%
d | 25 | 3.1%
u | 25 | 3.1%
m | 25 | 3.1%
l | 24 | 3.0%
ක | 21 | 2.6%
Other values (73) | 423 | 52.2%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 810 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
a | 109 | 13.5%
| 74 | 9.1%
e | 32 | 4.0%
w | 26 | 3.2%
s | 26 | 3.2%
d | 25 | 3.1%
u | 25 | 3.1%
m | 25 | 3.1%
l | 24 | 3.0%
ක | 21 | 2.6%
Other values (73) | 423 | 52.2%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 810 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
a | 109 | 13.5%
| 74 | 9.1%
e | 32 | 4.0%
w | 26 | 3.2%
s | 26 | 3.2%
d | 25 | 3.1%
u | 25 | 3.1%
m | 25 | 3.1%
l | 24 | 3.0%
ක | 21 | 2.6%
Other values (73) | 423 | 52.2%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 810 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
a | 109 | 13.5%
| 74 | 9.1%
e | 32 | 4.0%
w | 26 | 3.2%
s | 26 | 3.2%
d | 25 | 3.1%
u | 25 | 3.1%
m | 25 | 3.1%
l | 24 | 3.0%
ක | 21 | 2.6%
Other values (73) | 423 | 52.2%

is_there_any_construction_or_renovation_ongoing
Boolean

High correlation Imbalance Missing

Distinct | 2
Distinct (%) | 1.0%
Missing | 3307
Missing (%) | 94.5%
Memory size | 7.0 KiB

False | 185
True | 9
(Missing) | 3307

Value | Count | Frequency (%)
False | 185 | 5.3%
True | 9 | 0.3%
(Missing) | 3307 | 94.5%

last_month_expenditure
Text

Distinct | 69
Distinct (%) | 2.0%
Missing | 0
Missing (%) | 0.0%
Memory size | 27.5 KiB

Length

Max length | 9
Median length | 7
Mean length | 7.2930591
Min length | 7

Characters and Unicode

Total characters | 25533
Distinct characters | 19
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 | 21 ?
Unique (%) | 0.6%

Sample

1st row | 50000.0
2nd row | 40000.0
3rd row | 60000.0
4th row | 60000.0
5th row | 75000.0

Value | Count | Frequency (%)
50000.0 | 461 | 12.9%
100000.0 | 445 | 12.5%
60000.0 | 436 | 12.2%
40000.0 | 240 | 6.7%
80000.0 | 226 | 6.3%
30000.0 | 218 | 6.1%
70000.0 | 211 | 5.9%
150000.0 | 187 | 5.2%
75000.0 | 151 | 4.2%
35000.0 | 106 | 3.0%
Other values (60) | 884 | 24.8%

#### Most occurring characters

Value | Count | Frequency (%)
0 | 17061 | 66.8%
. | 3437 | 13.5%
5 | 1315 | 5.2%
1 | 805 | 3.2%
6 | 500 | 2.0%
2 | 409 | 1.6%
7 | 375 | 1.5%
3 | 369 | 1.4%
4 | 356 | 1.4%
8 | 274 | 1.1%
Other values (9) | 632 | 2.5%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 25533 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
0 | 17061 | 66.8%
. | 3437 | 13.5%
5 | 1315 | 5.2%
1 | 805 | 3.2%
6 | 500 | 2.0%
2 | 409 | 1.6%
7 | 375 | 1.5%
3 | 369 | 1.4%
4 | 356 | 1.4%
8 | 274 | 1.1%
Other values (9) | 632 | 2.5%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 25533 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
0 | 17061 | 66.8%
. | 3437 | 13.5%
5 | 1315 | 5.2%
1 | 805 | 3.2%
6 | 500 | 2.0%
2 | 409 | 1.6%
7 | 375 | 1.5%
3 | 369 | 1.4%
4 | 356 | 1.4%
8 | 274 | 1.1%
Other values (9) | 632 | 2.5%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 25533 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
0 | 17061 | 66.8%
. | 3437 | 13.5%
5 | 1315 | 5.2%
1 | 805 | 3.2%
6 | 500 | 2.0%
2 | 409 | 1.6%
7 | 375 | 1.5%
3 | 369 | 1.4%
4 | 356 | 1.4%
8 | 274 | 1.1%
Other values (9) | 632 | 2.5%

smart_metered_or_non_smart_metered
Categorical

High correlation

Distinct | 2
Distinct (%) | 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 27.5 KiB

Smart meter | 1934
Non smart meter | 1567

Length

Max length | 15
Median length | 11
Mean length | 12.790346
Min length | 11

Characters and Unicode

Total characters | 44779
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 | Smart meter
2nd row | Non smart meter
3rd row | Smart meter
4th row | Non smart meter
5th row | Non smart meter

#### Common Values

Value | Count | Frequency (%)
Smart meter | 1934 | 55.2%
Non smart meter | 1567 | 44.8%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
smart | 3501 | 40.9%
meter | 3501 | 40.9%
non | 1567 | 18.3%

#### Most occurring characters

Value | Count | Frequency (%)
m | 7002 | 15.6%
t | 7002 | 15.6%
r | 7002 | 15.6%
e | 7002 | 15.6%
| 5068 | 11.3%
a | 3501 | 7.8%
S | 1934 | 4.3%
N | 1567 | 3.5%
o | 1567 | 3.5%
n | 1567 | 3.5%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 44779 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
m | 7002 | 15.6%
t | 7002 | 15.6%
r | 7002 | 15.6%
e | 7002 | 15.6%
| 5068 | 11.3%
a | 3501 | 7.8%
S | 1934 | 4.3%
N | 1567 | 3.5%
o | 1567 | 3.5%
n | 1567 | 3.5%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 44779 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
m | 7002 | 15.6%
t | 7002 | 15.6%
r | 7002 | 15.6%
e | 7002 | 15.6%
| 5068 | 11.3%
a | 3501 | 7.8%
S | 1934 | 4.3%
N | 1567 | 3.5%
o | 1567 | 3.5%
n | 1567 | 3.5%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 44779 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
m | 7002 | 15.6%
t | 7002 | 15.6%
r | 7002 | 15.6%
e | 7002 | 15.6%
| 5068 | 11.3%
a | 3501 | 7.8%
S | 1934 | 4.3%
N | 1567 | 3.5%
o | 1567 | 3.5%
n | 1567 | 3.5%

# Interactions

# Correlations

| awareness_of_electricity_consumption_of_renters | built_house_or_purchased_house | changes_to_the_structure_of_household_after_w1 | charged_method_for_rent_for_electricity | charging_method_of_renters_for_electricity | considered_natural_lighting | considered_ventilation | is_there_any_construction_or_renovation_ongoing | is_there_business_carried_out_in_the_household | new_electricity_meters | new_floor_area | new_household_members | new_no_of_storeys | new_type_of_house | no_of_electricity_meters | occupy_renters_boarders | own_the_house_or_living_on_rent | renovations_done_after_w1 | renters_were_there_during_w1_or_not | since_when_renters_are_living_in_household | smart_metered_or_non_smart_metered | type_of_business | used_insulation_material
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
awareness_of_electricity_consumption_of_renters | 1.000 | 0.167 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.193 | 0.000 | 0.000 | 0.037 | 0.000 | 0.000 | NaN | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.046 | 0.000 | 0.000
built_house_or_purchased_house | 0.167 | 1.000 | 0.000 | 0.000 | 0.083 | 0.558 | 0.563 | 0.000 | 0.023 | 0.042 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.136 | 0.109 | 0.016 | 0.000 | 0.452
changes_to_the_structure_of_household_after_w1 | 1.000 | 0.000 | 1.000 | 0.344 | 1.000 | 0.013 | 0.008 | 0.188 | 0.019 | 0.050 | 0.260 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.025 | 0.308 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000
charged_method_for_rent_for_electricity | 0.000 | 0.000 | 0.344 | 1.000 | 0.000 | 0.000 | 0.000 | 0.451 | 0.292 | 0.000 | 0.707 | 0.000 | 0.000 | 0.866 | 1.000 | 0.000 | 0.345 | 0.246 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000
charging_method_of_renters_for_electricity | 0.000 | 0.083 | 1.000 | 0.000 | 1.000 | 0.000 | 0.162 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | NaN | 0.234 | 1.000 | 0.000 | 0.000 | 0.201 | 0.282 | 0.000 | 0.053
considered_natural_lighting | 0.000 | 0.558 | 0.013 | 0.000 | 0.000 | 1.000 | 0.912 | 0.094 | 0.044 | 0.000 | 0.000 | 0.000 | 0.000 | 0.051 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.295 | 0.039 | 0.000 | 0.748
considered_ventilation | 0.000 | 0.563 | 0.008 | 0.000 | 0.162 | 0.912 | 1.000 | 0.080 | 0.035 | 0.020 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.260 | 0.040 | 0.000 | 0.756
is_there_any_construction_or_renovation_ongoing | 1.000 | 0.000 | 0.188 | 0.451 | 1.000 | 0.094 | 0.080 | 1.000 | 0.000 | 0.000 | 0.739 | 0.000 | 1.000 | 0.174 | 1.000 | 0.000 | 0.151 | 0.186 | 1.000 | 1.000 | 0.080 | 1.000 | 0.035
is_there_business_carried_out_in_the_household | 0.193 | 0.023 | 0.019 | 0.292 | 0.000 | 0.044 | 0.035 | 0.000 | 1.000 | 0.000 | 0.383 | 0.000 | 1.000 | 0.000 | 0.000 | 0.038 | 0.000 | 0.000 | 0.111 | 0.000 | 0.000 | 1.000 | 0.028
new_electricity_meters | 0.000 | 0.042 | 0.050 | 0.000 | 0.000 | 0.000 | 0.020 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.707 | 0.226 | 1.000 | 0.000 | 0.000 | 0.048 | 0.000 | 1.000 | 0.012 | 0.000 | 0.044
new_floor_area | 0.000 | 0.000 | 0.260 | 0.707 | 0.000 | 0.000 | 0.000 | 0.739 | 0.383 | 0.000 | 1.000 | -0.008 | 0.000 | 0.000 | 1.000 | 1.000 | 0.349 | 0.260 | 0.000 | 0.000 | 0.000 | 0.000 | 0.156
new_household_members | 0.037 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | -0.008 | 1.000 | 1.000 | 0.000 | 1.000 | 0.188 | 0.114 | 0.000 | 0.272 | 0.144 | 0.008 | 0.000 | 0.000
new_no_of_storeys | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 1.000 | 0.707 | 0.000 | 1.000 | 1.000 | 0.707 | NaN | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.707 | 0.000 | 0.000
new_type_of_house | 0.000 | 0.000 | 0.000 | 0.866 | 0.000 | 0.051 | 0.000 | 0.174 | 0.000 | 0.226 | 0.000 | 0.000 | 0.707 | 1.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.096 | 1.000 | 0.000
no_of_electricity_meters | NaN | 0.000 | 0.000 | 1.000 | NaN | 0.000 | 0.000 | 1.000 | 0.000 | 1.000 | 1.000 | 1.000 | NaN | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | NaN | 0.000 | 0.000 | NaN | 0.000
occupy_renters_boarders | 0.000 | 0.000 | 0.000 | 0.000 | 0.234 | 0.000 | 0.000 | 0.000 | 0.038 | 0.000 | 1.000 | 0.188 | 1.000 | 1.000 | 0.000 | 1.000 | 1.000 | 0.009 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000
own_the_house_or_living_on_rent | 1.000 | 1.000 | 0.025 | 0.345 | 1.000 | 1.000 | 1.000 | 0.151 | 0.000 | 0.000 | 0.349 | 0.114 | 1.000 | 0.000 | 0.000 | 1.000 | 1.000 | 0.006 | 1.000 | 1.000 | 0.026 | 0.000 | 1.000
renovations_done_after_w1 | 0.000 | 0.000 | 0.308 | 0.246 | 0.000 | 0.000 | 0.000 | 0.186 | 0.000 | 0.048 | 0.260 | 0.000 | 0.000 | 0.000 | 0.000 | 0.009 | 0.006 | 1.000 | 0.073 | 0.248 | 0.000 | 0.025 | 0.000
renters_were_there_during_w1_or_not | 0.000 | 0.136 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.111 | 0.000 | 0.000 | 0.272 | 0.000 | 0.000 | NaN | 0.000 | 1.000 | 0.073 | 1.000 | 0.000 | 0.123 | 0.000 | 0.000
since_when_renters_are_living_in_household | 0.000 | 0.109 | 1.000 | 0.000 | 0.201 | 0.295 | 0.260 | 1.000 | 0.000 | 1.000 | 0.000 | 0.144 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.248 | 0.000 | 1.000 | 0.043 | NaN | 0.000
smart_metered_or_non_smart_metered | 0.046 | 0.016 | 0.000 | 0.000 | 0.282 | 0.039 | 0.040 | 0.080 | 0.000 | 0.012 | 0.000 | 0.008 | 0.707 | 0.096 | 0.000 | 0.000 | 0.026 | 0.000 | 0.123 | 0.043 | 1.000 | 0.000 | 0.097
type_of_business | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | NaN | 0.000 | 0.000 | 0.025 | 0.000 | NaN | 0.000 | 1.000 | 0.000
used_insulation_material | 0.000 | 0.452 | 0.000 | 0.000 | 0.053 | 0.748 | 0.756 | 0.035 | 0.028 | 0.044 | 0.156 | 0.000 | 0.000 | 0.000 | 0.000 | 0.000 | 1.000 | 0.000 | 0.000 | 0.000 | 0.097 | 0.000 | 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

| household_ID | new_electricity_meters | no_of_electricity_meters | own_the_house_or_living_on_rent | occupy_renters_boarders | renters_were_there_during_w1_or_not | since_when_renters_are_living_in_household | awareness_of_electricity_consumption_of_renters | changes_to_the_structure_of_household_after_w1 | renovations_done_after_w1 | new_type_of_house | new_no_of_storeys | new_floor_area | built_house_or_purchased_house | considered_natural_lighting | considered_ventilation | used_insulation_material | new_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 | other_business_activity | is_there_any_construction_or_renovation_ongoing | last_month_expenditure | smart_metered_or_non_smart_metered
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
0 | ID2464 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | Yes | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 50000.0 | Smart meter
1 | ID0430 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | Yes | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 40000.0 | Non smart meter
2 | ID0424 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house but I was not involved in building | Don't know | Don't know | Don't know | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 60000.0 | Smart meter
3 | ID0528 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | Yes | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 60000.0 | Non smart meter
4 | ID0427 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | Yes | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 75000.0 | Non smart meter
5 | ID0886 | Yes | 2.0 | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | No | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 50000.0 | Smart meter
6 | ID0041 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | Yes | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 125000.0 | Non smart meter
7 | ID0039 | Yes | 2.0 | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | No | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 40000.0 | Smart meter
8 | ID0017 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | Yes | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 30000.0 | Smart meter
9 | ID0033 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house but I was not involved in building | Yes | Yes | Yes | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 50000.0 | Non smart meter

| household_ID | new_electricity_meters | no_of_electricity_meters | own_the_house_or_living_on_rent | occupy_renters_boarders | renters_were_there_during_w1_or_not | since_when_renters_are_living_in_household | awareness_of_electricity_consumption_of_renters | changes_to_the_structure_of_household_after_w1 | renovations_done_after_w1 | new_type_of_house | new_no_of_storeys | new_floor_area | built_house_or_purchased_house | considered_natural_lighting | considered_ventilation | used_insulation_material | new_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 | other_business_activity | is_there_any_construction_or_renovation_ongoing | last_month_expenditure | smart_metered_or_non_smart_metered
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
3491 | ID1084 | No | NaN | No, I or any household member does not own or rent this household. We occupy this household without any payment of rent | NaN | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 1.0 | NaN | You don’t pay the owner for electricity consumption | No | NaN | NaN | NaN | 30000.0 | Non smart meter
3492 | ID0752 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | Yes | 0.0 | NaN | NaN | Yes | A shop | NaN | NaN | 100000.0 | Non smart meter
3493 | ID4061 | No | NaN | No, I am living on rent and the rent is paid by me or a household member. | NaN | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 0.0 | NaN | You pay the full amount of the electricity bill. | No | NaN | NaN | NaN | 40000.0 | Non smart meter
3494 | ID2496 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | Yes | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 100000.0 | Non smart meter
3495 | ID0320 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house but I was not involved in building | No | No | No | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 30000.0 | Non smart meter
3496 | ID0373 | Yes | 2.0 | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Purchased the house | NaN | NaN | NaN | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 70000.0 | Smart meter
3497 | ID0160 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | Yes, new parts were added only | No | Single House - Single Floor | NaN | 2800.0 | Built the house and I was involved in building | Yes | Yes | Don't know | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 40000.0 | Smart meter
3498 | ID1667 | No | NaN | Yes, I or a household member owns it. | I don’t occupy any of the above | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | Built the house and I was involved in building | Yes | Yes | Don't know | 0.0 | NaN | NaN | No | NaN | NaN | NaN | 24000.0 | Smart meter
3499 | ID0589 | No | NaN | No, I am living on rent and the rent is paid by me or a household member. | NaN | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 3.0 | NaN | You pay the full amount of the electricity bill. | No | NaN | NaN | NaN | 30000.0 | Non smart meter
3500 | ID0426 | No | NaN | No, I am living on rent and the rent is paid by me or a household member. | NaN | NaN | NaN | NaN | No structural changes were done to the household | No | NaN | NaN | NaN | NaN | NaN | NaN | NaN | 2.0 | NaN | You pay the full amount of the electricity bill. | No | NaN | NaN | NaN | 50000.0 | Non smart meter