# Overview

Brought to you by YData

Dataset statistics

Number of variables | 9
Number of observations | 14072
Missing cells | 55680
Missing cells (%) | 44.0%
Duplicate rows | 49
Duplicate rows (%) | 0.3%
Total size in memory | 989.6 KiB
Average record size in memory | 72.0 B

Variable types

Text | 2
Categorical | 4
Boolean | 2
Numeric | 1

Alerts

Dataset has 49 (0.3%) duplicate rows | Duplicates
`employment_status_of_the_new_main_occupation` is highly overall correlated with `new_main_activity` | High correlation
`new_main_activity` is highly overall correlated with `employment_status_of_the_new_main_occupation` | 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 (70.6%) | Imbalance
`changed_main_activity_engaged_in_or_not` is highly imbalanced (55.4%) | Imbalance
`changed_main_activity_engaged_in_or_not` has 2513 (17.9%) missing values | Missing
`new_main_activity` has 12502 (88.8%) missing values | Missing
`new_main_occupation` has 13307 (94.6%) missing values | Missing
`daily_wage_earner_or_not` has 13307 (94.6%) missing values | Missing
`employment_status_of_the_new_main_occupation` has 13307 (94.6%) missing values | Missing
`no_of_hours_stayed_at_home_during_last_week` has 740 (5.3%) missing values | Missing
`no_of_hours_stayed_at_home_during_last_week` has 686 (4.9%) zeros | Zeros

Reproduction

Analysis started | 2025-02-27 04:40:50.899804
Analysis finished | 2025-02-27 04:40:51.791607
Duration | 0.89 seconds
Software version | ydata-profiling vv4.11.0
Download configuration | config.json

# Variables

household_ID
Text

Distinct | 3500
Distinct (%) | 24.9%
Missing | 4
Missing (%) | < 0.1%
Memory size | 110.1 KiB

Length

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

Characters and Unicode

Total characters | 84408
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 | ID2464
2nd row | ID2464
3rd row | ID2464
4th row | ID2464
5th row | ID0430

Value | Count | Frequency (%)
id0349 | 13 | 0.1%
id3438 | 13 | 0.1%
id2880 | 12 | 0.1%
id0939 | 12 | 0.1%
id0849 | 12 | 0.1%
id2341 | 11 | 0.1%
id2113 | 11 | 0.1%
id2896 | 11 | 0.1%
id0699 | 11 | 0.1%
id3013 | 11 | 0.1%
Other values (3490) | 13951 | 99.2%

#### Most occurring characters

Value | Count | Frequency (%)
I | 14068 | 16.7%
D | 14068 | 16.7%
0 | 8008 | 9.5%
1 | 7673 | 9.1%
3 | 7643 | 9.1%
2 | 7618 | 9.0%
4 | 4354 | 5.2%
8 | 4275 | 5.1%
6 | 4232 | 5.0%
5 | 4219 | 5.0%
Other values (2) | 8250 | 9.8%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 84408 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
I | 14068 | 16.7%
D | 14068 | 16.7%
0 | 8008 | 9.5%
1 | 7673 | 9.1%
3 | 7643 | 9.1%
2 | 7618 | 9.0%
4 | 4354 | 5.2%
8 | 4275 | 5.1%
6 | 4232 | 5.0%
5 | 4219 | 5.0%
Other values (2) | 8250 | 9.8%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 84408 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
I | 14068 | 16.7%
D | 14068 | 16.7%
0 | 8008 | 9.5%
1 | 7673 | 9.1%
3 | 7643 | 9.1%
2 | 7618 | 9.0%
4 | 4354 | 5.2%
8 | 4275 | 5.1%
6 | 4232 | 5.0%
5 | 4219 | 5.0%
Other values (2) | 8250 | 9.8%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 84408 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
I | 14068 | 16.7%
D | 14068 | 16.7%
0 | 8008 | 9.5%
1 | 7673 | 9.1%
3 | 7643 | 9.1%
2 | 7618 | 9.0%
4 | 4354 | 5.2%
8 | 4275 | 5.1%
6 | 4232 | 5.0%
5 | 4219 | 5.0%
Other values (2) | 8250 | 9.8%

Member_Detail
Text

Distinct | 201
Distinct (%) | 1.4%
Missing | 0
Missing (%) | 0.0%
Memory size | 110.1 KiB

Length

Max length | 14
Median length | 13
Mean length | 12.921404
Min length | 11

Characters and Unicode

Total characters | 181830
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 | 13 ?
Unique (%) | 0.1%

Sample

1st row | Male-1977-46
2nd row | Female-1979-44
3rd row | Male-2007-16
4th row | Female-2014-9
5th row | Female-1950-73

Value | Count | Frequency (%)
male-2006-17 | 140 | 1.0%
male-2004-19 | 138 | 1.0%
female-1961-62 | 123 | 0.9%
female-2003-20 | 121 | 0.9%
female-2004-19 | 121 | 0.9%
male-2000-23 | 120 | 0.9%
female-2005-18 | 120 | 0.9%
male-2008-15 | 117 | 0.8%
female-1977-46 | 117 | 0.8%
male-2002-21 | 115 | 0.8%
Other values (191) | 12840 | 91.2%

#### Most occurring characters

Value | Count | Frequency (%)
- | 28144 | 15.5%
e | 21282 | 11.7%
1 | 16221 | 8.9%
9 | 14176 | 7.8%
l | 14062 | 7.7%
a | 14062 | 7.7%
0 | 9769 | 5.4%
2 | 9732 | 5.4%
F | 7210 | 4.0%
m | 7210 | 4.0%
Other values (11) | 39962 | 22.0%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 181830 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
- | 28144 | 15.5%
e | 21282 | 11.7%
1 | 16221 | 8.9%
9 | 14176 | 7.8%
l | 14062 | 7.7%
a | 14062 | 7.7%
0 | 9769 | 5.4%
2 | 9732 | 5.4%
F | 7210 | 4.0%
m | 7210 | 4.0%
Other values (11) | 39962 | 22.0%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 181830 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
- | 28144 | 15.5%
e | 21282 | 11.7%
1 | 16221 | 8.9%
9 | 14176 | 7.8%
l | 14062 | 7.7%
a | 14062 | 7.7%
0 | 9769 | 5.4%
2 | 9732 | 5.4%
F | 7210 | 4.0%
m | 7210 | 4.0%
Other values (11) | 39962 | 22.0%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 181830 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
- | 28144 | 15.5%
e | 21282 | 11.7%
1 | 16221 | 8.9%
9 | 14176 | 7.8%
l | 14062 | 7.7%
a | 14062 | 7.7%
0 | 9769 | 5.4%
2 | 9732 | 5.4%
F | 7210 | 4.0%
m | 7210 | 4.0%
Other values (11) | 39962 | 22.0%

still_living_in_house_or_not
Categorical

High correlation Imbalance

Distinct | 3
Distinct (%) | < 0.1%
Missing | 0
Missing (%) | 0.0%
Memory size | 110.1 KiB

Yes currently lives in | 12974
No, Permenatly left | 740
Ttemporaly not living | 358

Length

Max length | 22
Median length | 22
Mean length | 21.816799
Min length | 19

Characters and Unicode

Total characters | 307006
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 | Yes currently lives in
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 | 12974 | 92.2%
No, Permenatly left | 740 | 5.3%
Ttemporaly not living | 358 | 2.5%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
yes | 12974 | 23.5%
currently | 12974 | 23.5%
lives | 12974 | 23.5%
in | 12974 | 23.5%
no | 740 | 1.3%
permenatly | 740 | 1.3%
left | 740 | 1.3%
ttemporaly | 358 | 0.6%
not | 358 | 0.6%
living | 358 | 0.6%

#### Most occurring characters

Value | Count | Frequency (%)
e | 41500 | 13.5%
| 41118 | 13.4%
l | 28144 | 9.2%
n | 27404 | 8.9%
r | 27046 | 8.8%
i | 26664 | 8.7%
s | 25948 | 8.5%
t | 15170 | 4.9%
y | 14072 | 4.6%
v | 13332 | 4.3%
Other values (13) | 46608 | 15.2%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 307006 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
e | 41500 | 13.5%
| 41118 | 13.4%
l | 28144 | 9.2%
n | 27404 | 8.9%
r | 27046 | 8.8%
i | 26664 | 8.7%
s | 25948 | 8.5%
t | 15170 | 4.9%
y | 14072 | 4.6%
v | 13332 | 4.3%
Other values (13) | 46608 | 15.2%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 307006 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
e | 41500 | 13.5%
| 41118 | 13.4%
l | 28144 | 9.2%
n | 27404 | 8.9%
r | 27046 | 8.8%
i | 26664 | 8.7%
s | 25948 | 8.5%
t | 15170 | 4.9%
y | 14072 | 4.6%
v | 13332 | 4.3%
Other values (13) | 46608 | 15.2%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 307006 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
e | 41500 | 13.5%
| 41118 | 13.4%
l | 28144 | 9.2%
n | 27404 | 8.9%
r | 27046 | 8.8%
i | 26664 | 8.7%
s | 25948 | 8.5%
t | 15170 | 4.9%
y | 14072 | 4.6%
v | 13332 | 4.3%
Other values (13) | 46608 | 15.2%

changed_main_activity_engaged_in_or_not
Boolean

Imbalance Missing

Distinct | 2
Distinct (%) | < 0.1%
Missing | 2513
Missing (%) | 17.9%
Memory size | 27.6 KiB

False | 10486
True | 1073
(Missing) | 2513

Value | Count | Frequency (%)
False | 10486 | 74.5%
True | 1073 | 7.6%
(Missing) | 2513 | 17.9%

new_main_activity
Categorical

High correlation Missing

Distinct | 10
Distinct (%) | 0.6%
Missing | 12502
Missing (%) | 88.8%
Memory size | 110.1 KiB

1.Engaged in economic activity/ currently employed/ engaged in own business | 649
7.Household activities | 405
6.Received other pension payments. | 195
9.Too old / Disable/ unable to work. | 87
2.Retired and obtaining government/semigovernment pension payment and is currently engaged in economic activity (employe | 80
Other values (5) | 154

Length

Max length | 120
Median length | 89
Mean length | 53.943312
Min length | 8

Characters and Unicode

Total characters | 84691
Distinct characters | 44
Distinct categories | 1 ?
Distinct scripts | 1 ?
Distinct blocks | 1 ?

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

Unique

Unique | 0 ?
Unique (%) | 0.0%

Sample

1st row | 4.Retired - Obtaining government/s emigovernment pension payment and currently not engaged in economic activity (not emp
2nd row | 7.Household activities
3rd row | 7.Household activities
4th row | 8.Student
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 | 649 | 4.6%
7.Household activities | 405 | 2.9%
6.Received other pension payments. | 195 | 1.4%
9.Too old / Disable/ unable to work. | 87 | 0.6%
2.Retired and obtaining government/semigovernment pension payment and is currently engaged in economic activity (employe | 80 | 0.6%
8.Student | 54 | 0.4%
4.Retired - Obtaining government/s emigovernment pension payment and currently not engaged in economic activity (not emp | 35 | 0.2%
5.Retired from the private/semigovernment sector and does not obtain any pension payment. | 24 | 0.2%
3.Seeking for and available to work | 22 | 0.2%
10.Other | 19 | 0.1%
(Missing) | 12502 | 88.8%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
in | 1413 | 13.0%
economic | 764 | 7.0%
activity | 764 | 7.0%
engaged | 764 | 7.0%
currently | 764 | 7.0%
1.engaged | 649 | 6.0%
employed | 649 | 6.0%
own | 649 | 6.0%
business | 649 | 6.0%
7.household | 405 | 3.7%
Other values (37) | 3392 | 31.2%

#### Most occurring characters

Value | Count | Frequency (%)
e | 9439 | 11.1%
| 9292 | 11.0%
n | 7938 | 9.4%
i | 6865 | 8.1%
o | 5270 | 6.2%
t | 4565 | 5.4%
c | 3680 | 4.3%
s | 3640 | 4.3%
a | 3584 | 4.2%
g | 3217 | 3.8%
Other values (34) | 27201 | 32.1%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 84691 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
e | 9439 | 11.1%
| 9292 | 11.0%
n | 7938 | 9.4%
i | 6865 | 8.1%
o | 5270 | 6.2%
t | 4565 | 5.4%
c | 3680 | 4.3%
s | 3640 | 4.3%
a | 3584 | 4.2%
g | 3217 | 3.8%
Other values (34) | 27201 | 32.1%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 84691 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
e | 9439 | 11.1%
| 9292 | 11.0%
n | 7938 | 9.4%
i | 6865 | 8.1%
o | 5270 | 6.2%
t | 4565 | 5.4%
c | 3680 | 4.3%
s | 3640 | 4.3%
a | 3584 | 4.2%
g | 3217 | 3.8%
Other values (34) | 27201 | 32.1%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 84691 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
e | 9439 | 11.1%
| 9292 | 11.0%
n | 7938 | 9.4%
i | 6865 | 8.1%
o | 5270 | 6.2%
t | 4565 | 5.4%
c | 3680 | 4.3%
s | 3640 | 4.3%
a | 3584 | 4.2%
g | 3217 | 3.8%
Other values (34) | 27201 | 32.1%

new_main_occupation
Categorical

Missing

Distinct | 11
Distinct (%) | 1.4%
Missing | 13307
Missing (%) | 94.6%
Memory size | 110.1 KiB

5.Service worker and shop and market sales worker | 240
2.Profession al | 106
9.Elementary occupation | 82
1.Legislator, seniorofficial, and manager | 64
3.Technician and associate professional | 58
Other values (6) | 215

Length

Max length | 49
Median length | 41
Mean length | 33.060131
Min length | 7

Characters and Unicode

Total characters | 25291
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 | 9.Elementary occupation
2nd row | 8.Plant and machine operator and assembler
3rd row | 11.No occupation
4th row | 11.No occupation
5th row | 11.No occupation

#### Common Values

Value | Count | Frequency (%)
5.Service worker and shop and market sales worker | 240 | 1.7%
2.Profession al | 106 | 0.8%
9.Elementary occupation | 82 | 0.6%
1.Legislator, seniorofficial, and manager | 64 | 0.5%
3.Technician and associate professional | 58 | 0.4%
4.Clerk | 56 | 0.4%
6.Skilled agricultural and fishery worker | 44 | 0.3%
11.No occupation | 38 | 0.3%
7.Craft and related worker | 32 | 0.2%
8.Plant and machine operator and assembler | 28 | 0.2%
(Missing) | 13307 | 94.6%

#### Length

Histogram of lengths of the category

Value | Count | Frequency (%)
and | 734 | 21.1%
worker | 556 | 16.0%
5.service | 240 | 6.9%
shop | 240 | 6.9%
market | 240 | 6.9%
sales | 240 | 6.9%
occupation | 120 | 3.4%
2.profession | 106 | 3.0%
al | 106 | 3.0%
9.elementary | 82 | 2.4%
Other values (20) | 819 | 23.5%

#### Most occurring characters

Value | Count | Frequency (%)
| 2718 | 10.7%
e | 2523 | 10.0%
r | 2383 | 9.4%
a | 2291 | 9.1%
o | 1742 | 6.9%
s | 1409 | 5.6%
n | 1400 | 5.5%
i | 1114 | 4.4%
l | 951 | 3.8%
k | 896 | 3.5%
Other values (33) | 7864 | 31.1%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 25291 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
| 2718 | 10.7%
e | 2523 | 10.0%
r | 2383 | 9.4%
a | 2291 | 9.1%
o | 1742 | 6.9%
s | 1409 | 5.6%
n | 1400 | 5.5%
i | 1114 | 4.4%
l | 951 | 3.8%
k | 896 | 3.5%
Other values (33) | 7864 | 31.1%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 25291 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
| 2718 | 10.7%
e | 2523 | 10.0%
r | 2383 | 9.4%
a | 2291 | 9.1%
o | 1742 | 6.9%
s | 1409 | 5.6%
n | 1400 | 5.5%
i | 1114 | 4.4%
l | 951 | 3.8%
k | 896 | 3.5%
Other values (33) | 7864 | 31.1%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 25291 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
| 2718 | 10.7%
e | 2523 | 10.0%
r | 2383 | 9.4%
a | 2291 | 9.1%
o | 1742 | 6.9%
s | 1409 | 5.6%
n | 1400 | 5.5%
i | 1114 | 4.4%
l | 951 | 3.8%
k | 896 | 3.5%
Other values (33) | 7864 | 31.1%

daily_wage_earner_or_not
Boolean

Missing

Distinct | 2
Distinct (%) | 0.3%
Missing | 13307
Missing (%) | 94.6%
Memory size | 27.6 KiB

False | 508
True | 257
(Missing) | 13307

Value | Count | Frequency (%)
False | 508 | 3.6%
True | 257 | 1.8%
(Missing) | 13307 | 94.6%

employment_status_of_the_new_main_occupation
Categorical

High correlation Missing

Distinct | 6
Distinct (%) | 0.8%
Missing | 13307
Missing (%) | 94.6%
Memory size | 110.1 KiB

3.Private sector employee | 434
5.Own account worker | 124
1.Government employee | 99
4.Employer | 70
6.Contributing family worker | 23

Length

Max length | 28
Median length | 25
Mean length | 22.40915
Min length | 10

Characters and Unicode

Total characters | 17143
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 | 3.Private sector employee
3rd row | 6.Contributing family worker
4th row | 6.Contributing family worker
5th row | 6.Contributing family worker

#### Common Values

Value | Count | Frequency (%)
3.Private sector employee | 434 | 3.1%
5.Own account worker | 124 | 0.9%
1.Government employee | 99 | 0.7%
4.Employer | 70 | 0.5%
6.Contributing family worker | 23 | 0.2%
2.Semi government employee | 15 | 0.1%
(Missing) | 13307 | 94.6%

#### Length

Histogram of lengths of the category

#### Common Values (Plot)

Value | Count | Frequency (%)
employee | 548 | 26.7%
3.private | 434 | 21.1%
sector | 434 | 21.1%
worker | 147 | 7.1%
5.own | 124 | 6.0%
account | 124 | 6.0%
1.government | 99 | 4.8%
4.employer | 70 | 3.4%
6.contributing | 23 | 1.1%
family | 23 | 1.1%
Other values (2) | 30 | 1.5%

#### Most occurring characters

Value | Count | Frequency (%)
e | 2972 | 17.3%
o | 1460 | 8.5%
r | 1369 | 8.0%
| 1291 | 7.5%
t | 1152 | 6.7%
m | 770 | 4.5%
. | 765 | 4.5%
c | 682 | 4.0%
y | 641 | 3.7%
l | 641 | 3.7%
Other values (24) | 5400 | 31.5%

#### Most occurring categories

Value | Count | Frequency (%)
(unknown) | 17143 | 100.0%

#### Most frequent character per category

##### (unknown)

Value | Count | Frequency (%)
e | 2972 | 17.3%
o | 1460 | 8.5%
r | 1369 | 8.0%
| 1291 | 7.5%
t | 1152 | 6.7%
m | 770 | 4.5%
. | 765 | 4.5%
c | 682 | 4.0%
y | 641 | 3.7%
l | 641 | 3.7%
Other values (24) | 5400 | 31.5%

#### Most occurring scripts

Value | Count | Frequency (%)
(unknown) | 17143 | 100.0%

#### Most frequent character per script

##### (unknown)

Value | Count | Frequency (%)
e | 2972 | 17.3%
o | 1460 | 8.5%
r | 1369 | 8.0%
| 1291 | 7.5%
t | 1152 | 6.7%
m | 770 | 4.5%
. | 765 | 4.5%
c | 682 | 4.0%
y | 641 | 3.7%
l | 641 | 3.7%
Other values (24) | 5400 | 31.5%

#### Most occurring blocks

Value | Count | Frequency (%)
(unknown) | 17143 | 100.0%

#### Most frequent character per block

##### (unknown)

Value | Count | Frequency (%)
e | 2972 | 17.3%
o | 1460 | 8.5%
r | 1369 | 8.0%
| 1291 | 7.5%
t | 1152 | 6.7%
m | 770 | 4.5%
. | 765 | 4.5%
c | 682 | 4.0%
y | 641 | 3.7%
l | 641 | 3.7%
Other values (24) | 5400 | 31.5%

no_of_hours_stayed_at_home_during_last_week
Real number (ℝ)

High correlation Missing Zeros

Distinct | 344
Distinct (%) | 2.6%
Missing | 740
Missing (%) | 5.3%
Infinite | 0
Infinite (%) | 0.0%
Mean | 123.64168

Minimum | 0
Maximum | 168
Zeros | 686
Zeros (%) | 4.9%
Negative | 0
Negative (%) | 0.0%
Memory size | 110.1 KiB

Quantile statistics

Minimum | 0
5-th percentile | 0
Q1 | 98
median | 130
Q3 | 168
95-th percentile | 168
Maximum | 168
Range | 168
Interquartile range (IQR) | 70

Descriptive statistics

Standard deviation | 46.219465
Coefficient of variation (CV) | 0.37381783
Kurtosis | 0.64063356
Mean | 123.64168
Median Absolute Deviation (MAD) | 38
Skewness | -1.0847112
Sum | 1648390.9
Variance | 2136.239
Monotonicity | Not monotonic

Histogram with fixed size bins (bins=50)

Value | Count | Frequency (%)
168 | 3926 | 27.9%
0 | 686 | 4.9%
120 | 418 | 3.0%
84 | 403 | 2.9%
108 | 362 | 2.6%
140 | 298 | 2.1%
160 | 293 | 2.1%
150 | 268 | 1.9%
128 | 259 | 1.8%
100 | 257 | 1.8%
Other values (334) | 6162 | 43.8%
(Missing) | 740 | 5.3%

Value | Count | Frequency (%)
0 | 686 | 4.9%
0.14 | 1 | < 0.1%
0.25 | 1 | < 0.1%
0.5 | 1 | < 0.1%
0.68 | 1 | < 0.1%
0.7 | 1 | < 0.1%
1.05 | 1 | < 0.1%
1.5 | 1 | < 0.1%
2 | 3 | < 0.1%
3 | 2 | < 0.1%

Value | Count | Frequency (%)
168 | 3926 | 27.9%
167.5 | 6 | < 0.1%
167.3 | 2 | < 0.1%
167.25 | 1 | < 0.1%
167 | 37 | 0.3%
166.5 | 3 | < 0.1%
166 | 55 | 0.4%
165.75 | 1 | < 0.1%
165.69 | 1 | < 0.1%
165.5 | 1 | < 0.1%

# Interactions

# Correlations

| 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
--- | --- | --- | --- | --- | --- | --- | ---
changed_main_activity_engaged_in_or_not | 1.000 | 0.000 | 0.135 | 0.182 | 0.156 | 0.128 | 0.043
daily_wage_earner_or_not | 0.000 | 1.000 | 0.492 | 0.141 | 0.366 | 0.193 | 0.110
employment_status_of_the_new_main_occupation | 0.135 | 0.492 | 1.000 | 0.580 | 0.419 | 0.174 | 0.136
new_main_activity | 0.182 | 0.141 | 0.580 | 1.000 | 0.457 | 0.236 | 0.118
new_main_occupation | 0.156 | 0.366 | 0.419 | 0.457 | 1.000 | 0.105 | 0.077
no_of_hours_stayed_at_home_during_last_week | 0.128 | 0.193 | 0.174 | 0.236 | 0.105 | 1.000 | 0.594
still_living_in_house_or_not | 0.043 | 0.110 | 0.136 | 0.118 | 0.077 | 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_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 | ID2464 | Male-1977-46 | Yes currently lives in | No | NaN | 9.Elementary occupation | No | 3.Private sector employee | 75.5
1 | ID2464 | Female-1979-44 | Yes currently lives in | No | NaN | 8.Plant and machine operator and assembler | No | 3.Private sector employee | 102.0
2 | ID2464 | Male-2007-16 | Yes currently lives in | No | NaN | 11.No occupation | No | 6.Contributing family worker | 133.0
3 | ID2464 | Female-2014-9 | Yes currently lives in | No | NaN | 11.No occupation | No | 6.Contributing family worker | 117.5
4 | ID0430 | Female-1950-73 | Yes currently lives in | No | NaN | 11.No occupation | No | 6.Contributing family worker | 147.0
5 | ID0424 | Male-1977-46 | Yes currently lives in | No | NaN | 11.No occupation | No | 3.Private sector employee | 7.0
6 | ID0424 | Female-1971-52 | Yes currently lives in | No | NaN | 11.No occupation | No | 6.Contributing family worker | 158.0
7 | ID0424 | Male-2005-18 | Yes currently lives in | No | NaN | 11.No occupation | No | 6.Contributing family worker | 142.0
8 | ID0528 | Female-1954-69 | Yes currently lives in | No | NaN | 1.Legislator, seniorofficial, and manager | No | 1.Government employee | 166.0
9 | ID0528 | Male-1952-71 | Yes currently lives in | No | NaN | 9.Elementary occupation | No | 1.Government employee | 140.0

| household_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
--- | --- | --- | --- | --- | --- | --- | --- | --- | ---
14062 | ID0589 | Male-1992-31 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN
14063 | ID0589 | Male-1949-74 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN
14064 | ID0589 | Male-1971-52 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN
14065 | ID0589 | Male-2004-19 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN
14066 | ID0589 | Male-2018-5 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN
14067 | ID0589 | Female-2023-0 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN
14068 | ID0426 | Male-1971-52 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN
14069 | ID0426 | Female-1969-54 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN
14070 | ID0426 | Female-2004-19 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN
14071 | ID0426 | Male-1998-25 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN

# Duplicate rows

#### Most frequently occurring

| household_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 | # duplicates
--- | --- | --- | --- | --- | --- | --- | --- | --- | --- | ---
8 | ID1107 | Male-2004-19 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 108.0 | 8
23 | ID2339 | Male-2000-23 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN | 7
12 | ID1334 | Female-2001-22 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 75.0 | 4
14 | ID1348 | Male-2001-22 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 108.0 | 4
27 | ID2490 | Male-2000-23 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 84.0 | 4
18 | ID1713 | Male-2002-21 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN | 3
45 | ID3500 | Female-2001-22 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 84.0 | 3
0 | ID0267 | Male-2007-16 | Ttemporaly not living | No | NaN | NaN | NaN | NaN | 0.0 | 2
1 | ID0722 | Male-2006-17 | No, Permenatly left | NaN | NaN | NaN | NaN | NaN | NaN | 2
2 | ID0757 | Female-2008-15 | Yes currently lives in | No | NaN | NaN | NaN | NaN | 168.0 | 2