# Overview

Brought to you by YData

Dataset statistics

Number of variables | 10
Number of observations | 13673
Missing cells | 56527
Missing cells (%) | 41.3%
Duplicate rows | 0
Duplicate rows (%) | 0.0%
Total size in memory | 1.0 MiB
Average record size in memory | 80.0 B

Variable types

Text | 2
Categorical | 5
Boolean | 2
Numeric | 1

Alerts

`changed_main_activity_engaged_in_or_not` is highly overall correlated with `daily_wage_earner_or_not` and 3 other fields | High correlation
`daily_wage_earner_or_not` is highly overall correlated with `changed_main_activity_engaged_in_or_not` and 1 other fields | High correlation
`employment_status_of_the_new_main_occupation` is highly overall correlated with `changed_main_activity_engaged_in_or_not` and 1 other fields | High correlation
`new_main_activity` is highly overall correlated with `changed_main_activity_engaged_in_or_not` and 1 other fields | High correlation
`new_main_occupation` is highly overall correlated with `changed_main_activity_engaged_in_or_not` and 1 other fields | High correlation
`no_of_hours_stayed_at_home_during_last_week` is highly overall correlated with `still_living_in_house_or_not` | High correlation
`still_living_in_house_or_not` is highly overall correlated with `no_of_hours_stayed_at_home_during_last_week` | High correlation
`still_living_in_house_or_not` is highly imbalanced (72.6%) | Imbalance
`changed_main_activity_engaged_in_or_not` is highly imbalanced (75.9%) | Imbalance
`changed_main_activity_engaged_in_or_not` has 2399 (17.5%) missing values | Missing
`new_main_activity` has 13226 (96.7%) missing values | Missing
`new_main_occupation` has 13432 (98.2%) missing values | Missing
`daily_wage_earner_or_not` has 13432 (98.2%) missing values | Missing
`employment_status_of_the_new_main_occupation` has 13432 (98.2%) missing values | Missing
`no_of_hours_stayed_at_home_during_last_week` has 602 (4.4%) missing values | Missing
`no_of_hours_stayed_at_home_during_last_week` has 661 (4.8%) zeros | Zeros

Reproduction

Analysis started | 2025-02-27 04:59:13.659146
Analysis finished | 2025-02-27 04:59:14.590819
Duration | 0.93 seconds
Software version | ydata-profiling vv4.11.0
Download configuration | config.json

# Variables

household_ID
Text

Distinct | 3397
Distinct (%) | 24.9%
Missing | 4
Missing (%) | < 0.1%
Memory size | 106.9 KiB

Length

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

Characters and Unicode

Total characters | 82014
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 | 152 ?
Unique (%) | 1.1%

Sample

1st row | ID0726
2nd row | ID0726
3rd row | ID0726
4th row | ID0726
5th row | ID0734

Value | Count | Frequency (%)
id0349 | 13 | 0.1%
id3438 | 13 | 0.1%
id2880 | 12 | 0.1%
id0849 | 12 | 0.1%
id1265 | 12 | 0.1%
id2379 | 12 | 0.1%
id0589 | 12 | 0.1%
id0939 | 12 | 0.1%
id2113 | 11 | 0.1%
id0699 | 11 | 0.1%
Other values (3387) | 13549 | 99.1%

#### Most occurring characters

Value | Count | Frequency (%)
I | 13669 | 16.7%
D | 13669 | 16.7%
0 | 7731 | 9.4%
1 | 7460 | 9.1%
2 | 7446 | 9.1%
3 | 7427 | 9.1%
4 | 4241 | 5.2%
8 | 4153 | 5.1%
6 | 4146 | 5.1%
5 | 4142 | 5.1%
Other values (2) | 7930 | 9.7%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 82014 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
I | 13669 | 16.7%
D | 13669 | 16.7%
0 | 7731 | 9.4%
1 | 7460 | 9.1%
2 | 7446 | 9.1%
3 | 7427 | 9.1%
4 | 4241 | 5.2%
8 | 4153 | 5.1%
6 | 4146 | 5.1%
5 | 4142 | 5.1%
Other values (2) | 7930 | 9.7%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 82014 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
I | 13669 | 16.7%
D | 13669 | 16.7%
0 | 7731 | 9.4%
1 | 7460 | 9.1%
2 | 7446 | 9.1%
3 | 7427 | 9.1%
4 | 4241 | 5.2%
8 | 4153 | 5.1%
6 | 4146 | 5.1%
5 | 4142 | 5.1%
Other values (2) | 7930 | 9.7%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 82014 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
I | 13669 | 16.7%
D | 13669 | 16.7%
0 | 7731 | 9.4%
1 | 7460 | 9.1%
2 | 7446 | 9.1%
3 | 7427 | 9.1%
4 | 4241 | 5.2%
8 | 4153 | 5.1%
6 | 4146 | 5.1%
5 | 4142 | 5.1%
Other values (2) | 7930 | 9.7%

MEMBER_ID
Categorical

Distinct | 13
Distinct (%) | 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 106.9 KiB

I1 | 3398
I2 | 3246
I3 | 2741
I4 | 2073
I5 | 1225
Other values (8) | 990

Length

Max length | 3
Median length | 2
Mean length | 2.0034374
Min length | 2

Characters and Unicode

Total characters | 27393
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 | I1
2nd row | I2
3rd row | I3
4th row | I4
5th row | I1

#### Common Values

Value | Count | Frequency (%)
I1 | 3398 | 24.9%
I2 | 3246 | 23.7%
I3 | 2741 | 20.0%
I4 | 2073 | 15.2%
I5 | 1225 | 9.0%
I6 | 570 | 4.2%
I7 | 223 | 1.6%
I8 | 103 | 0.8%
I9 | 47 | 0.3%
I10 | 24 | 0.2%
Other values (3) | 23 | 0.2%

#### Length

Histogram of lengths of the category

Value | Count | Frequency (%)
i1 | 3398 | 24.9%
i2 | 3246 | 23.7%
i3 | 2741 | 20.0%
i4 | 2073 | 15.2%
i5 | 1225 | 9.0%
i6 | 570 | 4.2%
i7 | 223 | 1.6%
i8 | 103 | 0.8%
i9 | 47 | 0.3%
i10 | 24 | 0.2%
Other values (3) | 23 | 0.2%

#### Most occurring characters

Value | Count | Frequency (%)
I | 13673 | 49.9%
1 | 3458 | 12.6%
2 | 3254 | 11.9%
3 | 2743 | 10.0%
4 | 2073 | 7.6%
5 | 1225 | 4.5%
6 | 570 | 2.1%
7 | 223 | 0.8%
8 | 103 | 0.4%
9 | 47 | 0.2%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 27393 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
I | 13673 | 49.9%
1 | 3458 | 12.6%
2 | 3254 | 11.9%
3 | 2743 | 10.0%
4 | 2073 | 7.6%
5 | 1225 | 4.5%
6 | 570 | 2.1%
7 | 223 | 0.8%
8 | 103 | 0.4%
9 | 47 | 0.2%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 27393 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
I | 13673 | 49.9%
1 | 3458 | 12.6%
2 | 3254 | 11.9%
3 | 2743 | 10.0%
4 | 2073 | 7.6%
5 | 1225 | 4.5%
6 | 570 | 2.1%
7 | 223 | 0.8%
8 | 103 | 0.4%
9 | 47 | 0.2%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 27393 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
I | 13673 | 49.9%
1 | 3458 | 12.6%
2 | 3254 | 11.9%
3 | 2743 | 10.0%
4 | 2073 | 7.6%
5 | 1225 | 4.5%
6 | 570 | 2.1%
7 | 223 | 0.8%
8 | 103 | 0.4%
9 | 47 | 0.2%

Member_Detail
Text

Distinct | 379
Distinct (%) | 2.8%
Missing | 0
Missing (%) | 0.0%
Memory size | 106.9 KiB

Length

Max length | 14
Median length | 13
Mean length | 12.933153
Min length | 11

Characters and Unicode

Total characters | 176835
Distinct characters | 18
Distinct categories | 1 ?
Distinct scripts | 1 ?
Distinct blocks | 1 ?

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

Unique

Unique | 45 ?
Unique (%) | 0.3%

Sample

1st row | Female-1974-49
2nd row | Male-1999-24
3rd row | Male-1947-76
4th row | Female-1952-71
5th row | Male-1980-43

Value | Count | Frequency (%)
male-2006-17 | 132 | 1.0%
male-2004-19 | 123 | 0.9%
female-1961-62 | 116 | 0.8%
female-2005-18 | 114 | 0.8%
female-2004-19 | 114 | 0.8%
female-2003-20 | 112 | 0.8%
female-2001-22 | 110 | 0.8%
male-2002-21 | 109 | 0.8%
female-1960-63 | 108 | 0.8%
male-2008-15 | 107 | 0.8%
Other values (369) | 12528 | 91.6%

#### Most occurring characters

Value | Count | Frequency (%)
- | 27346 | 15.5%
e | 20755 | 11.7%
1 | 15639 | 8.8%
a | 13773 | 7.8%
9 | 13646 | 7.7%
l | 13623 | 7.7%
2 | 9677 | 5.5%
0 | 9596 | 5.4%
m | 7132 | 4.0%
F | 7132 | 4.0%
Other values (8) | 38516 | 21.8%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 176835 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
- | 27346 | 15.5%
e | 20755 | 11.7%
1 | 15639 | 8.8%
a | 13773 | 7.8%
9 | 13646 | 7.7%
l | 13623 | 7.7%
2 | 9677 | 5.5%
0 | 9596 | 5.4%
m | 7132 | 4.0%
F | 7132 | 4.0%
Other values (8) | 38516 | 21.8%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 176835 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
- | 27346 | 15.5%
e | 20755 | 11.7%
1 | 15639 | 8.8%
a | 13773 | 7.8%
9 | 13646 | 7.7%
l | 13623 | 7.7%
2 | 9677 | 5.5%
0 | 9596 | 5.4%
m | 7132 | 4.0%
F | 7132 | 4.0%
Other values (8) | 38516 | 21.8%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 176835 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
- | 27346 | 15.5%
e | 20755 | 11.7%
1 | 15639 | 8.8%
a | 13773 | 7.8%
9 | 13646 | 7.7%
l | 13623 | 7.7%
2 | 9677 | 5.5%
0 | 9596 | 5.4%
m | 7132 | 4.0%
F | 7132 | 4.0%
Other values (8) | 38516 | 21.8%

still_living_in_house_or_not
Categorical

High correlation Imbalance

Distinct | 3
Distinct (%) | < 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 106.9 KiB

Yes currently lives in | 12710
No, Permenatly left | 602
Ttemporaly not living | 361

Length

Max length | 22
Median length | 22
Mean length | 21.841512
Min length | 19

Characters and Unicode

Total characters | 298639
Distinct characters | 23
Distinct categories | 1 ?
Distinct scripts | 1 ?
Distinct blocks | 1 ?

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

Unique

Unique | 0 ?
Unique (%) | 0.0%

Sample

1st row | Yes currently lives in
2nd row | No, Permenatly left
3rd row | Yes currently lives in
4th row | Yes currently lives in
5th row | Yes currently lives in

#### Common Values

Value | Count | Frequency (%)
Yes currently lives in | 12710 | 93.0%
No, Permenatly left | 602 | 4.4%
Ttemporaly not living | 361 | 2.6%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
yes | 12710 | 23.7%
currently | 12710 | 23.7%
lives | 12710 | 23.7%
in | 12710 | 23.7%
no | 602 | 1.1%
permenatly | 602 | 1.1%
left | 602 | 1.1%
ttemporaly | 361 | 0.7%
not | 361 | 0.7%
living | 361 | 0.7%

#### Most occurring characters

Value | Count | Frequency (%)
e | 40297 | 13.5%
| 40056 | 13.4%
l | 27346 | 9.2%
n | 26744 | 9.0%
r | 26383 | 8.8%
i | 26142 | 8.8%
s | 25420 | 8.5%
t | 14636 | 4.9%
y | 13673 | 4.6%
v | 13071 | 4.4%
Other values (13) | 44871 | 15.0%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 298639 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
e | 40297 | 13.5%
| 40056 | 13.4%
l | 27346 | 9.2%
n | 26744 | 9.0%
r | 26383 | 8.8%
i | 26142 | 8.8%
s | 25420 | 8.5%
t | 14636 | 4.9%
y | 13673 | 4.6%
v | 13071 | 4.4%
Other values (13) | 44871 | 15.0%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 298639 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
e | 40297 | 13.5%
| 40056 | 13.4%
l | 27346 | 9.2%
n | 26744 | 9.0%
r | 26383 | 8.8%
i | 26142 | 8.8%
s | 25420 | 8.5%
t | 14636 | 4.9%
y | 13673 | 4.6%
v | 13071 | 4.4%
Other values (13) | 44871 | 15.0%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 298639 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
e | 40297 | 13.5%
| 40056 | 13.4%
l | 27346 | 9.2%
n | 26744 | 9.0%
r | 26383 | 8.8%
i | 26142 | 8.8%
s | 25420 | 8.5%
t | 14636 | 4.9%
y | 13673 | 4.6%
v | 13071 | 4.4%
Other values (13) | 44871 | 15.0%

changed_main_activity_engaged_in_or_not
Boolean

High correlation Imbalance Missing

Distinct | 2
Distinct (%) | < 0.1%
Missing | 2399
Missing (%) | 17.5%
Memory size | 26.8 KiB

False | 10827
True | 447
(Missing) | 2399

Value | Count | Frequency (%)
False | 10827 | 79.2%
True | 447 | 3.3%
(Missing) | 2399 | 17.5%

new_main_activity
Categorical

High correlation Missing

Distinct | 9
Distinct (%) | 2.0%
Missing | 13226
Missing (%) | 96.7%
Memory size | 106.9 KiB

1.Engaged in economic activity/ currently employed/ engaged in own business | 229
7.Household activities | 102
6.Received other pension payments. | 43
9.Too old / Disable/ unable to work. | 38
4.Retired - Obtaining government/s emigovernment pension payment and currently not engaged in economic activity (not emp | 13
Other values (4) | 22

Length

Max length | 120
Median length | 75
Mean length | 55.532438
Min length | 8

Characters and Unicode

Total characters | 24823
Distinct characters | 43
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 | 7.Household activities
2nd row | 1.Engaged in economic activity/ currently employed/ engaged in own business
3rd row | 1.Engaged in economic activity/ currently employed/ engaged in own business
4th row | 1.Engaged in economic activity/ currently employed/ engaged in own business
5th row | 1.Engaged in economic activity/ currently employed/ engaged in own business

#### Common Values

Value | Count | Frequency (%)
1.Engaged in economic activity/ currently employed/ engaged in own business | 229 | 1.7%
7.Household activities | 102 | 0.7%
6.Received other pension payments. | 43 | 0.3%
9.Too old / Disable/ unable to work. | 38 | 0.3%
4.Retired - Obtaining government/s emigovernment pension payment and currently not engaged in economic activity (not emp | 13 | 0.1%
2.Retired and obtaining government/semigovernment pension payment and is currently engaged in economic activity (employe | 6 | < 0.1%
3.Seeking for and available to work | 6 | < 0.1%
10.Other | 6 | < 0.1%
8.Student | 4 | < 0.1%
(Missing) | 13226 | 96.7%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
in | 477 | 14.6%
economic | 248 | 7.6%
activity | 248 | 7.6%
engaged | 248 | 7.6%
currently | 248 | 7.6%
1.engaged | 229 | 7.0%
employed | 229 | 7.0%
own | 229 | 7.0%
business | 229 | 7.0%
7.household | 102 | 3.1%
Other values (29) | 783 | 23.9%

#### Most occurring characters

Value | Count | Frequency (%)
| 2823 | 11.4%
e | 2670 | 10.8%
n | 2313 | 9.3%
i | 1993 | 8.0%
o | 1547 | 6.2%
t | 1213 | 4.9%
c | 1137 | 4.6%
s | 1059 | 4.3%
a | 1033 | 4.2%
g | 1017 | 4.1%
Other values (33) | 8018 | 32.3%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 24823 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 2823 | 11.4%
e | 2670 | 10.8%
n | 2313 | 9.3%
i | 1993 | 8.0%
o | 1547 | 6.2%
t | 1213 | 4.9%
c | 1137 | 4.6%
s | 1059 | 4.3%
a | 1033 | 4.2%
g | 1017 | 4.1%
Other values (33) | 8018 | 32.3%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 24823 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 2823 | 11.4%
e | 2670 | 10.8%
n | 2313 | 9.3%
i | 1993 | 8.0%
o | 1547 | 6.2%
t | 1213 | 4.9%
c | 1137 | 4.6%
s | 1059 | 4.3%
a | 1033 | 4.2%
g | 1017 | 4.1%
Other values (33) | 8018 | 32.3%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 24823 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 2823 | 11.4%
e | 2670 | 10.8%
n | 2313 | 9.3%
i | 1993 | 8.0%
o | 1547 | 6.2%
t | 1213 | 4.9%
c | 1137 | 4.6%
s | 1059 | 4.3%
a | 1033 | 4.2%
g | 1017 | 4.1%
Other values (33) | 8018 | 32.3%

new_main_occupation
Categorical

High correlation Missing

Distinct | 11
Distinct (%) | 4.6%
Missing | 13432
Missing (%) | 98.2%
Memory size | 106.9 KiB

5.Service worker and shop and market sales worker | 101
3.Technician and associate professional | 25
2.Professional | 21
4.Clerk | 19
6.Skilled agricultural and fishery worker | 18
Other values (6) | 57

Length

Max length | 49
Median length | 42
Mean length | 36.439834
Min length | 7

Characters and Unicode

Total characters | 8782
Distinct characters | 43
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 | 8.Plant and machine operator and assembler
2nd row | 5.Service worker and shop and market sales worker
3rd row | 7.Craft and related worker
4th row | 4.Clerk
5th row | 5.Service worker and shop and market sales worker

#### Common Values

Value | Count | Frequency (%)
5.Service worker and shop and market sales worker | 101 | 0.7%
3.Technician and associate professional | 25 | 0.2%
2.Professional | 21 | 0.2%
4.Clerk | 19 | 0.1%
6.Skilled agricultural and fishery worker | 18 | 0.1%
9.Elementary occupation | 17 | 0.1%
1.Legislator, seniorofficial, and manager | 14 | 0.1%
7.Craft and related worker | 12 | 0.1%
8.Plant and machine operator and assembler | 7 | 0.1%
11.No occupation | 5 | < 0.1%
(Missing) | 13432 | 98.2%

#### Length

Histogram of lengths of the category

Value | Count | Frequency (%)
and | 285 | 23.1%
worker | 232 | 18.8%
5.service | 101 | 8.2%
shop | 101 | 8.2%
market | 101 | 8.2%
sales | 101 | 8.2%
3.technician | 25 | 2.0%
associate | 25 | 2.0%
professional | 25 | 2.0%
occupation | 22 | 1.8%
Other values (19) | 216 | 17.5%

#### Most occurring characters

Value | Count | Frequency (%)
| 993 | 11.3%
e | 921 | 10.5%
r | 891 | 10.1%
a | 793 | 9.0%
o | 559 | 6.4%
s | 507 | 5.8%
n | 462 | 5.3%
k | 370 | 4.2%
i | 361 | 4.1%
d | 317 | 3.6%
Other values (33) | 2608 | 29.7%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 8782 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 993 | 11.3%
e | 921 | 10.5%
r | 891 | 10.1%
a | 793 | 9.0%
o | 559 | 6.4%
s | 507 | 5.8%
n | 462 | 5.3%
k | 370 | 4.2%
i | 361 | 4.1%
d | 317 | 3.6%
Other values (33) | 2608 | 29.7%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 8782 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 993 | 11.3%
e | 921 | 10.5%
r | 891 | 10.1%
a | 793 | 9.0%
o | 559 | 6.4%
s | 507 | 5.8%
n | 462 | 5.3%
k | 370 | 4.2%
i | 361 | 4.1%
d | 317 | 3.6%
Other values (33) | 2608 | 29.7%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 8782 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 993 | 11.3%
e | 921 | 10.5%
r | 891 | 10.1%
a | 793 | 9.0%
o | 559 | 6.4%
s | 507 | 5.8%
n | 462 | 5.3%
k | 370 | 4.2%
i | 361 | 4.1%
d | 317 | 3.6%
Other values (33) | 2608 | 29.7%

daily_wage_earner_or_not
Boolean

High correlation Missing

Distinct | 2
Distinct (%) | 0.8%
Missing | 13432
Missing (%) | 98.2%
Memory size | 26.8 KiB

False | 162
True | 79
(Missing) | 13432

Value | Count | Frequency (%)
False | 162 | 1.2%
True | 79 | 0.6%
(Missing) | 13432 | 98.2%

employment_status_of_the_new_main_occupation
Categorical

High correlation Missing

Distinct | 6
Distinct (%) | 2.5%
Missing | 13432
Missing (%) | 98.2%
Memory size | 106.9 KiB

3.Private sector employee | 172
4.Employer | 29
5.Own account worker | 21
1.Government employee | 10
2.Semi government employee | 6

Length

Max length | 28
Median length | 25
Mean length | 22.655602
Min length | 10

Characters and Unicode

Total characters | 5460
Distinct characters | 34
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 | 3.Private sector employee
2nd row | 4.Employer
3rd row | 3.Private sector employee
4th row | 3.Private sector employee
5th row | 3.Private sector employee

#### Common Values

Value | Count | Frequency (%)
3.Private sector employee | 172 | 1.3%
4.Employer | 29 | 0.2%
5.Own account worker | 21 | 0.2%
1.Government employee | 10 | 0.1%
2.Semi government employee | 6 | < 0.1%
6.Contributing family worker | 3 | < 0.1%
(Missing) | 13432 | 98.2%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
employee | 188 | 28.7%
3.private | 172 | 26.3%
sector | 172 | 26.3%
4.employer | 29 | 4.4%
worker | 24 | 3.7%
5.own | 21 | 3.2%
account | 21 | 3.2%
1.government | 10 | 1.5%
2.semi | 6 | 0.9%
government | 6 | 0.9%
Other values (2) | 6 | 0.9%

#### Most occurring characters

Value | Count | Frequency (%)
e | 999 | 18.3%
o | 453 | 8.3%
r | 440 | 8.1%
| 414 | 7.6%
t | 387 | 7.1%
m | 242 | 4.4%
. | 241 | 4.4%
l | 220 | 4.0%
y | 220 | 4.0%
p | 217 | 4.0%
Other values (24) | 1627 | 29.8%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 5460 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
e | 999 | 18.3%
o | 453 | 8.3%
r | 440 | 8.1%
| 414 | 7.6%
t | 387 | 7.1%
m | 242 | 4.4%
. | 241 | 4.4%
l | 220 | 4.0%
y | 220 | 4.0%
p | 217 | 4.0%
Other values (24) | 1627 | 29.8%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 5460 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
e | 999 | 18.3%
o | 453 | 8.3%
r | 440 | 8.1%
| 414 | 7.6%
t | 387 | 7.1%
m | 242 | 4.4%
. | 241 | 4.4%
l | 220 | 4.0%
y | 220 | 4.0%
p | 217 | 4.0%
Other values (24) | 1627 | 29.8%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 5460 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
e | 999 | 18.3%
o | 453 | 8.3%
r | 440 | 8.1%
| 414 | 7.6%
t | 387 | 7.1%
m | 242 | 4.4%
. | 241 | 4.4%
l | 220 | 4.0%
y | 220 | 4.0%
p | 217 | 4.0%
Other values (24) | 1627 | 29.8%

no_of_hours_stayed_at_home_during_last_week
Real number (ℝ)

High correlation Missing Zeros

Distinct | 270
Distinct (%) | 2.1%
Missing | 602
Missing (%) | 4.4%
Infinite | 0
Infinite (%) | 0.0%
Mean | 127.60354

Minimum | 0
Maximum | 168
Zeros | 661
Zeros (%) | 4.8%
Negative | 0
Negative (%) | 0.0%
Memory size | 106.9 KiB

Quantile statistics

Minimum | 0
5-th percentile | 0
Q1 | 100
median | 148
Q3 | 168
95-th percentile | 168
Maximum | 168
Range | 168
Interquartile range (IQR) | 68

Descriptive statistics

Standard deviation | 47.400555
Coefficient of variation (CV) | 0.37146739
Kurtosis | 0.6704595
Mean | 127.60354
Median Absolute Deviation (MAD) | 20
Skewness | -1.1890684
Sum | 1667905.9
Variance | 2246.8126
Monotonicity | Not monotonic

Histogram with fixed size bins (bins=50)

Value | Count | Frequency (%)
168 | 4461 | 32.6%
0 | 661 | 4.8%
160 | 440 | 3.2%
84 | 426 | 3.1%
108 | 344 | 2.5%
120 | 311 | 2.3%
150 | 297 | 2.2%
140 | 242 | 1.8%
72 | 222 | 1.6%
96 | 209 | 1.5%
Other values (260) | 5458 | 39.9%
(Missing) | 602 | 4.4%

Value | Count | Frequency (%)
0 | 661 | 4.8%
0.5 | 2 | < 0.1%
1 | 3 | < 0.1%
2 | 4 | < 0.1%
3 | 1 | < 0.1%
3.5 | 2 | < 0.1%
4 | 3 | < 0.1%
5 | 7 | 0.1%
6 | 10 | 0.1%
7 | 3 | < 0.1%

Value | Count | Frequency (%)
168 | 4461 | 32.6%
167.5 | 6 | < 0.1%
167.25 | 1 | < 0.1%
167 | 24 | 0.2%
166.5 | 4 | < 0.1%
166 | 78 | 0.6%
165.5 | 1 | < 0.1%
165 | 136 | 1.0%
164.7 | 1 | < 0.1%
164.5 | 8 | 0.1%

# Interactions

# Correlations

| MEMBER_ID | changed_main_activity_engaged_in_or_not | daily_wage_earner_or_not | employment_status_of_the_new_main_occupation | new_main_activity | new_main_occupation | no_of_hours_stayed_at_home_during_last_week | still_living_in_house_or_not
--- | --- | --- | --- | --- | --- | --- | --- | ---
MEMBER_ID | 1.000 | 0.000 | 0.229 | 0.061 | 0.246 | 0.113 | 0.081 | 0.071
changed_main_activity_engaged_in_or_not | 0.000 | 1.000 | 1.000 | 1.000 | 1.000 | 1.000 | 0.056 | 0.058
daily_wage_earner_or_not | 0.229 | 1.000 | 1.000 | 0.705 | 0.000 | 0.410 | 0.355 | 0.220
employment_status_of_the_new_main_occupation | 0.061 | 1.000 | 0.705 | 1.000 | 0.358 | 0.281 | 0.146 | 0.096
new_main_activity | 0.246 | 1.000 | 0.000 | 0.358 | 1.000 | 0.506 | 0.232 | 0.254
new_main_occupation | 0.113 | 1.000 | 0.410 | 0.281 | 0.506 | 1.000 | 0.143 | 0.006
no_of_hours_stayed_at_home_during_last_week | 0.081 | 0.056 | 0.355 | 0.146 | 0.232 | 0.143 | 1.000 | 0.594
still_living_in_house_or_not | 0.071 | 0.058 | 0.220 | 0.096 | 0.254 | 0.006 | 0.594 | 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 | MEMBER_ID | Member_Detail | still_living_in_house_or_not | changed_main_activity_engaged_in_or_not | new_main_activity | new_main_occupation | daily_wage_earner_or_not | employment_status_of_the_new_main_occupation | no_of_hours_stayed_at_home_during_last_week
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
0 | ID0726 | I1 | Female-1974-49 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 114.0
1 | ID0726 | I2 | Male-1999-24 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN
2 | ID0726 | I3 | Male-1947-76 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 168.0
3 | ID0726 | I4 | Female-1952-71 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 168.0
4 | ID0734 | I1 | Male-1980-43 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 72.0
5 | ID0734 | I2 | Female-1981-42 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 150.0
6 | ID0734 | I3 | Male-2005-18 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 168.0
7 | ID0734 | I4 | Male-2009-14 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 151.0
8 | ID0734 | I5 | Female-1945-78 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 168.0
9 | ID2795 | I1 | Male-1987-36 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 72.5

| household_ID | MEMBER_ID | Member_Detail | still_living_in_house_or_not | changed_main_activity_engaged_in_or_not | new_main_activity | new_main_occupation | daily_wage_earner_or_not | employment_status_of_the_new_main_occupation | no_of_hours_stayed_at_home_during_last_week
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
13663 | ID1024 | I6 | Male-2020-3 | Yes currently lives in | NaN | NaN | NaN | NaN | NaN | 153.0
13664 | ID1024 | I7 | Male-2021-2 | Yes currently lives in | NaN | NaN | NaN | NaN | NaN | 153.0
13665 | ID2440 | I1 | Male-1980-43 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 103.0
13666 | ID2440 | I2 | Male-1952-71 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 168.0
13667 | ID2440 | I3 | Female-1983-40 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 103.0
13668 | ID1050 | I1 | Female-1995-28 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 113.0
13669 | ID1050 | I2 | Female-1958-65 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 154.0
13670 | ID1050 | I3 | Female-1979-44 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 161.0
13671 | ID1050 | I4 | Male-2007-16 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 120.0
13672 | ID1050 | I5 | Female-2013-10 | Yes currently lives in | NaN | NaN | NaN | NaN | NaN | 117.0