Depression Data Analysis Report

Dataset statistics

Number of variables	23
Number of observations	1429
Missing cells	20
Missing cells (%)	0.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	889.5 KiB
Average record size in memory	637.4 B

Variable types

Numeric	15
Categorical	8

Alerts

`Survey_id` is highly correlated with `Ville_id`	High correlation
`Ville_id` is highly correlated with `Survey_id`	High correlation
`number_children` is highly correlated with `total_members`	High correlation
`total_members` is highly correlated with `number_children`	High correlation
`Survey_id` is highly correlated with `Ville_id`	High correlation
`Ville_id` is highly correlated with `Survey_id`	High correlation
`number_children` is highly correlated with `total_members`	High correlation
`total_members` is highly correlated with `number_children`	High correlation
`Survey_id` is highly correlated with `Ville_id`	High correlation
`Ville_id` is highly correlated with `Survey_id`	High correlation
`number_children` is highly correlated with `total_members`	High correlation
`total_members` is highly correlated with `number_children`	High correlation
`labor_primary` is highly correlated with `incoming_salary`	High correlation
`incoming_salary` is highly correlated with `labor_primary`	High correlation
`incoming_no_business` is highly correlated with `incoming_business`	High correlation
`incoming_business` is highly correlated with `incoming_no_business`	High correlation
`Survey_id` is highly correlated with `Ville_id`	High correlation
`Ville_id` is highly correlated with `Survey_id`	High correlation
`age` is highly correlated with `relationship` and 1 other fields	High correlation
`relationship` is highly correlated with `age`	High correlation
`number_children` is highly correlated with `total_members`	High correlation
`education_level` is highly correlated with `age`	High correlation
`total_members` is highly correlated with `number_children` and 6 other fields	High correlation
`gained_asset` is highly correlated with `living_expenses` and 4 other fields	High correlation
`durable_asset` is highly correlated with `lasting_investment`	High correlation
`living_expenses` is highly correlated with `total_members` and 6 other fields	High correlation
`other_expenses` is highly correlated with `total_members` and 6 other fields	High correlation
`incoming_salary` is highly correlated with `labor_primary`	High correlation
`incoming_business` is highly correlated with `incoming_no_business`	High correlation
`incoming_no_business` is highly correlated with `incoming_business`	High correlation
`labor_primary` is highly correlated with `incoming_salary`	High correlation
`incoming_agricultural` is highly correlated with `total_members` and 5 other fields	High correlation
`farm_expenses` is highly correlated with `total_members` and 6 other fields	High correlation
`lasting_investment` is highly correlated with `total_members` and 7 other fields	High correlation
`no_lasting_investmen` is highly correlated with `total_members` and 6 other fields	High correlation
`no_lasting_investmen` has 20 (1.4%) missing values	Missing
`Survey_id` is uniformly distributed	Uniform
`Survey_id` has unique values	Unique
`number_children` has 154 (10.8%) zeros	Zeros

Reproduction

Analysis started	2022-07-31 05:00:20.397368
Analysis finished	2022-07-31 05:02:55.010247
Duration	2 minutes and 34.61 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Survey_id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	1429
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	715

Minimum	1
Maximum	1429
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	1
5-th percentile	72.4
Q1	358
median	715
Q3	1072
95-th percentile	1357.6
Maximum	1429
Range	1428
Interquartile range (IQR)	714

Descriptive statistics

Standard deviation	412.6610797
Coefficient of variation (CV)	0.5771483632
Kurtosis	-1.2
Mean	715
Median Absolute Deviation (MAD)	357
Skewness	0
Sum	1021735
Variance	170289.1667
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
926	1	0.1%
327	1	0.1%
726	1	0.1%
1197	1	0.1%
566	1	0.1%
423	1	0.1%
338	1	0.1%
1424	1	0.1%
1092	1	0.1%
1150	1	0.1%
Other values (1419)	1419	99.3%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	0.1%
2	1	0.1%
3	1	0.1%
4	1	0.1%
5	1	0.1%
6	1	0.1%
7	1	0.1%
8	1	0.1%
9	1	0.1%
10	1	0.1%

Value	Count	Frequency (%)
1429	1	0.1%
1428	1	0.1%
1427	1	0.1%
1426	1	0.1%
1425	1	0.1%
1424	1	0.1%
1423	1	0.1%
1422	1	0.1%
1421	1	0.1%
1420	1	0.1%

Ville_id
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	255
Distinct (%)	17.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	76.28621414

Minimum	1
Maximum	292
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	1
5-th percentile	6
Q1	24
median	57
Q3	105
95-th percentile	216.6
Maximum	292
Range	291
Interquartile range (IQR)	81

Descriptive statistics

Standard deviation	66.44401162
Coefficient of variation (CV)	0.8709832093
Kurtosis	0.5957708946
Mean	76.28621414
Median Absolute Deviation (MAD)	37
Skewness	1.145897394
Sum	109013
Variance	4414.80668
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
15	24	1.7%
17	21	1.5%
23	21	1.5%
7	20	1.4%
8	19	1.3%
20	18	1.3%
21	18	1.3%
11	18	1.3%
27	17	1.2%
4	16	1.1%
Other values (245)	1237	86.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	16	1.1%
2	9	0.6%
3	15	1.0%
4	16	1.1%
5	15	1.0%
6	15	1.0%
7	20	1.4%
8	19	1.3%
9	12	0.8%
10	11	0.8%

Value	Count	Frequency (%)
292	1	0.1%
291	1	0.1%
290	1	0.1%
287	1	0.1%
285	1	0.1%
283	1	0.1%
281	1	0.1%
279	1	0.1%
278	1	0.1%
275	1	0.1%

sex
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	81.1 KiB

F	1312
M	117

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	1429
Distinct characters	2
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	F
2nd row	F
3rd row	F
4th row	F
5th row	M

Common Values

Value	Count	Frequency (%)
F	1312	91.8%
M	117	8.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
f	1312	91.8%
m	117	8.2%

Most occurring characters

Value	Count	Frequency (%)
F	1312	91.8%
M	117	8.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	1429	100.0%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
F	1312	91.8%
M	117	8.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1429	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
F	1312	91.8%
M	117	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1429	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
F	1312	91.8%
M	117	8.2%

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	71
Distinct (%)	5.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34.77746676

Minimum	17
Maximum	91
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	17
5-th percentile	20
Q1	25
median	30
Q3	42
95-th percentile	64
Maximum	91
Range	74
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	13.98621857
Coefficient of variation (CV)	0.4021632359
Kurtosis	1.186622436
Mean	34.77746676
Median Absolute Deviation (MAD)	7
Skewness	1.261274574
Sum	49697
Variance	195.6143098
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
25	78	5.5%
23	72	5.0%
22	69	4.8%
26	68	4.8%
27	64	4.5%
28	61	4.3%
24	55	3.8%
35	53	3.7%
20	49	3.4%
21	46	3.2%
Other values (61)	814	57.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
17	8	0.6%
18	19	1.3%
19	37	2.6%
20	49	3.4%
21	46	3.2%
22	69	4.8%
23	72	5.0%
24	55	3.8%
25	78	5.5%
26	68	4.8%

Value	Count	Frequency (%)
91	1	0.1%
87	1	0.1%
86	1	0.1%
85	1	0.1%
84	1	0.1%
82	1	0.1%
81	4	0.3%
80	3	0.2%
79	1	0.1%
78	2	0.1%

relationship
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	88.0 KiB

Couple	1104
Single	325

Length

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

Characters and Unicode

Total characters	8574
Distinct characters	10
Distinct categories	2 ?
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	Couple
2nd row	Couple
3rd row	Couple
4th row	Couple
5th row	Single

Common Values

Value	Count	Frequency (%)
Couple	1104	77.3%
Single	325	22.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
couple	1104	77.3%
single	325	22.7%

Most occurring characters

Value	Count	Frequency (%)
l	1429	16.7%
e	1429	16.7%
C	1104	12.9%
o	1104	12.9%
u	1104	12.9%
p	1104	12.9%
S	325	3.8%
i	325	3.8%
n	325	3.8%
g	325	3.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7145	83.3%
Uppercase Letter	1429	16.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
l	1429	20.0%
e	1429	20.0%
o	1104	15.5%
u	1104	15.5%
p	1104	15.5%
i	325	4.5%
n	325	4.5%
g	325	4.5%

Uppercase Letter

Value	Count	Frequency (%)
C	1104	77.3%
S	325	22.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	8574	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
l	1429	16.7%
e	1429	16.7%
C	1104	12.9%
o	1104	12.9%
u	1104	12.9%
p	1104	12.9%
S	325	3.8%
i	325	3.8%
n	325	3.8%
g	325	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8574	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
l	1429	16.7%
e	1429	16.7%
C	1104	12.9%
o	1104	12.9%
u	1104	12.9%
p	1104	12.9%
S	325	3.8%
i	325	3.8%
n	325	3.8%
g	325	3.8%

number_children
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	12
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.883135059

Minimum	0
Maximum	11
Zeros	154
Zeros (%)	10.8%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	11
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.874471644
Coefficient of variation (CV)	0.6501504806
Kurtosis	0.1764385441
Mean	2.883135059
Median Absolute Deviation (MAD)	1
Skewness	0.5243187419
Sum	4120
Variance	3.513643946
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
3	307	21.5%
2	294	20.6%
4	229	16.0%
1	187	13.1%
0	154	10.8%
5	127	8.9%
6	74	5.2%
7	35	2.4%
8	17	1.2%
9	3	0.2%
Other values (2)	2	0.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	154	10.8%
1	187	13.1%
2	294	20.6%
3	307	21.5%
4	229	16.0%
5	127	8.9%
6	74	5.2%
7	35	2.4%
8	17	1.2%
9	3	0.2%

Value	Count	Frequency (%)
11	1	0.1%
10	1	0.1%
9	3	0.2%
8	17	1.2%
7	35	2.4%
6	74	5.2%
5	127	8.9%
4	229	16.0%
3	307	21.5%
2	294	20.6%

education_level
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	18
Distinct (%)	1.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	8.687193842

Minimum	1
Maximum	19
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	8
median	9
Q3	10
95-th percentile	14
Maximum	19
Range	18
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.923532413
Coefficient of variation (CV)	0.3365335765
Kurtosis	1.42144372
Mean	8.687193842
Median Absolute Deviation (MAD)	1
Skewness	-0.7680590407
Sum	12414
Variance	8.54704177
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=18)

Value	Count	Frequency (%)
10	431	30.2%
9	294	20.6%
8	171	12.0%
7	96	6.7%
1	83	5.8%
14	69	4.8%
6	63	4.4%
12	61	4.3%
11	46	3.2%
5	35	2.4%
Other values (8)	80	5.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	83	5.8%
2	3	0.2%
3	16	1.1%
4	34	2.4%
5	35	2.4%
6	63	4.4%
7	96	6.7%
8	171	12.0%
9	294	20.6%
10	431	30.2%

Value	Count	Frequency (%)
19	1	0.1%
18	2	0.1%
17	3	0.2%
16	3	0.2%
14	69	4.8%
13	18	1.3%
12	61	4.3%
11	46	3.2%
10	431	30.2%
9	294	20.6%

total_members
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	12
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	4.969209237

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	4
median	5
Q3	6
95-th percentile	8
Maximum	12
Range	11
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.786316886
Coefficient of variation (CV)	0.3594770919
Kurtosis	1.441631465
Mean	4.969209237
Median Absolute Deviation (MAD)	1
Skewness	0.5409486128
Sum	7101
Variance	3.190928016
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
5	611	42.8%
4	203	14.2%
6	145	10.1%
3	136	9.5%
7	98	6.9%
2	74	5.2%
8	61	4.3%
1	40	2.8%
9	30	2.1%
10	22	1.5%
Other values (2)	9	0.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	40	2.8%
2	74	5.2%
3	136	9.5%
4	203	14.2%
5	611	42.8%
6	145	10.1%
7	98	6.9%
8	61	4.3%
9	30	2.1%
10	22	1.5%

Value	Count	Frequency (%)
12	5	0.3%
11	4	0.3%
10	22	1.5%
9	30	2.1%
8	61	4.3%
7	98	6.9%
6	145	10.1%
5	611	42.8%
4	203	14.2%
3	136	9.5%

gained_asset
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	441
Distinct (%)	30.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33634477.74

Minimum	325112
Maximum	99127548
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	325112
5-th percentile	10089683
Q1	23269824
median	28912201
Q3	37172832
95-th percentile	82606287
Maximum	99127548
Range	98802436
Interquartile range (IQR)	13903008

Descriptive statistics

Standard deviation	20038537.36
Coefficient of variation (CV)	0.5957737032
Kurtosis	1.468320679
Mean	33634477.74
Median Absolute Deviation (MAD)	6612234
Skewness	1.335229517
Sum	4.806366869 × 10¹⁰
Variance	4.015429794 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28912201	560	39.2%
82606287	50	3.5%
41303144	40	2.8%
20651573	31	2.2%
16521257	28	2.0%
12390944	20	1.4%
24781887	17	1.2%
37172832	15	1.0%
41303146	12	0.8%
22375139	12	0.8%
Other values (431)	644	45.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
325112	1	0.1%
388964	5	0.3%
584561	1	0.1%
1018915	3	0.2%
1108353	1	0.1%
1169122	3	0.2%
1297245	1	0.1%
1407879	2	0.1%
1473414	1	0.1%
1559897	1	0.1%

Value	Count	Frequency (%)
99127548	2	0.1%
98444366	1	0.1%
97761192	1	0.1%
96556207	1	0.1%
96143182	1	0.1%
96092224	1	0.1%
95902509	1	0.1%
94663409	1	0.1%
94314049	2	0.1%
93596368	1	0.1%

durable_asset
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	590
Distinct (%)	41.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27172956.9

Minimum	162556
Maximum	99615601
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	162556
5-th percentile	6854578.4
Q1	19298521
median	22861940
Q3	26569498
95-th percentile	74471474
Maximum	99615601
Range	99453045
Interquartile range (IQR)	7270977

Descriptive statistics

Standard deviation	18156721.59
Coefficient of variation (CV)	0.6681908658
Kurtosis	4.283692224
Mean	27172956.9
Median Absolute Deviation (MAD)	3643497
Skewness	2.009777258
Sum	3.88301554 × 10¹⁰
Variance	3.29666539 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22861940	548	38.3%
16015369	8	0.6%
12812296	7	0.5%
96092216	7	0.5%
11851374	6	0.4%
21941057	6	0.4%
24023054	5	0.3%
14894295	5	0.3%
23222287	5	0.3%
80076847	5	0.3%
Other values (580)	827	57.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
162556	1	0.1%
164638	1	0.1%
172966	5	0.3%
249039	1	0.1%
257367	1	0.1%
325112	2	0.1%
736707	3	0.2%
1016976	2	0.1%
1040999	2	0.1%
1145099	1	0.1%

Value	Count	Frequency (%)
99615601	1	0.1%
99455444	1	0.1%
99295296	1	0.1%
99135139	1	0.1%
98494522	1	0.1%
98334373	1	0.1%
97853912	1	0.1%
97693758	1	0.1%
97693756	2	0.1%
96092224	2	0.1%

save_asset
Real number (ℝ_≥0)

Distinct	268
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	27424707.84

Minimum	172966
Maximum	99926758
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	172966
5-th percentile	10489518.6
Q1	23399979
median	23399979
Q3	23399979
95-th percentile	80076847
Maximum	99926758
Range	99753792
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	17751374.29
Coefficient of variation (CV)	0.6472766965
Kurtosis	6.181864851
Mean	27424707.84
Median Absolute Deviation (MAD)	0
Skewness	2.479890749
Sum	3.91899075 × 10¹⁰
Variance	3.151112892 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
23399979	963	67.4%
80076847	21	1.5%
16015369	21	1.5%
1601537	15	1.0%
32030739	15	1.0%
3203074	15	1.0%
48046112	14	1.0%
12812296	14	1.0%
48046108	13	0.9%
96092224	11	0.8%
Other values (258)	327	22.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
172966	1	0.1%
1040999	1	0.1%
1242339	1	0.1%
1481805	1	0.1%
1601537	15	1.0%
1770641	1	0.1%
1871068	1	0.1%
1915728	1	0.1%
1943873	1	0.1%
2162075	1	0.1%

Value	Count	Frequency (%)
99926758	1	0.1%
99903496	1	0.1%
99787193	1	0.1%
99694153	1	0.1%
99601105	1	0.1%
98670692	1	0.1%
97693756	1	0.1%
97112244	1	0.1%
96995949	1	0.1%
96092224	11	0.8%

living_expenses
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	411
Distinct (%)	28.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32482565.52

Minimum	262919
Maximum	99295282
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	262919
5-th percentile	4216980.4
Q1	20886711
median	26692283
Q3	38436887
95-th percentile	80076848.2
Maximum	99295282
Range	99032363
Interquartile range (IQR)	17550176

Descriptive statistics

Standard deviation	21015284.19
Coefficient of variation (CV)	0.6469711937
Kurtosis	1.100698748
Mean	32482565.52
Median Absolute Deviation (MAD)	7714069
Skewness	1.246831118
Sum	4.641758613 × 10¹⁰
Variance	4.416421696 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
26692283	515	36.0%
53384566	26	1.8%
13346142	23	1.6%
10676913	23	1.6%
66730708	23	1.6%
1601537	20	1.4%
33365355	17	1.2%
20019212	17	1.2%
18684598	14	1.0%
40038424	13	0.9%
Other values (401)	738	51.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
262919	2	0.1%
338992	1	0.1%
397715	1	0.1%
422005	1	0.1%
501548	1	0.1%
1040999	1	0.1%
1134422	3	0.2%
1245195	1	0.1%
1279895	1	0.1%
1321268	1	0.1%

Value	Count	Frequency (%)
99295282	1	0.1%
98361063	1	0.1%
97426834	1	0.1%
97426832	1	0.1%
96092218	4	0.3%
95291452	1	0.1%
94223757	1	0.1%
93916788	1	0.1%
93422995	1	0.1%
93422994	2	0.1%

other_expenses
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	615
Distinct (%)	43.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	33666324.45

Minimum	172966
Maximum	99823799
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	172966
5-th percentile	5023381
Q1	20980135
median	28203066
Q3	40518887
95-th percentile	84304906.4
Maximum	99823799
Range	99650833
Interquartile range (IQR)	19538752

Descriptive statistics

Standard deviation	21702655.58
Coefficient of variation (CV)	0.6446398866
Kurtosis	1.117129099
Mean	33666324.45
Median Absolute Deviation (MAD)	8952593
Skewness	1.229584659
Sum	4.810917764 × 10¹⁰
Variance	4.710052591 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28203066	429	30.0%
14413833	9	0.6%
88084536	8	0.6%
72069163	8	0.6%
59256868	7	0.5%
89686069	7	0.5%
17616907	7	0.5%
83279924	6	0.4%
80076847	5	0.3%
48046112	5	0.3%
Other values (605)	938	65.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
172966	2	0.1%
325112	1	0.1%
411595	1	0.1%
481422	1	0.1%
498078	1	0.1%
736707	2	0.1%
975336	1	0.1%
1040999	3	0.2%
1145099	3	0.2%
1169122	2	0.1%

Value	Count	Frequency (%)
99823799	1	0.1%
99695679	1	0.1%
99455452	1	0.1%
99295292	4	0.3%
98974991	1	0.1%
98814831	1	0.1%
98686707	1	0.1%
98414452	1	0.1%
97693758	2	0.1%
96892986	1	0.1%

incoming_salary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	91.5 KiB

No Income	1172
Income	257

Length

Max length	9
Median length	9
Mean length	8.460461861
Min length	6

Characters and Unicode

Total characters	12090
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No Income
2nd row	No Income
3rd row	No Income
4th row	No Income
5th row	Income

Common Values

Value	Count	Frequency (%)
No Income	1172	82.0%
Income	257	18.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
income	1429	54.9%
no	1172	45.1%

Most occurring characters

Value	Count	Frequency (%)
o	2601	21.5%
I	1429	11.8%
n	1429	11.8%
c	1429	11.8%
m	1429	11.8%
e	1429	11.8%
N	1172	9.7%
	1172	9.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8317	68.8%
Uppercase Letter	2601	21.5%
Space Separator	1172	9.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	2601	31.3%
n	1429	17.2%
c	1429	17.2%
m	1429	17.2%
e	1429	17.2%

Uppercase Letter

Value	Count	Frequency (%)
I	1429	54.9%
N	1172	45.1%

Space Separator

Value	Count	Frequency (%)
	1172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10918	90.3%
Common	1172	9.7%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	2601	23.8%
I	1429	13.1%
n	1429	13.1%
c	1429	13.1%
m	1429	13.1%
e	1429	13.1%
N	1172	10.7%

Common

Value	Count	Frequency (%)
	1172	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	2601	21.5%
I	1429	11.8%
n	1429	11.8%
c	1429	11.8%
m	1429	11.8%
e	1429	11.8%
N	1172	9.7%
	1172	9.7%

incoming_own_farm
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	91.2 KiB

No Income	1069
Income	360

Length

Max length	9
Median length	9
Mean length	8.244226732
Min length	6

Characters and Unicode

Total characters	11781
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No Income
2nd row	No Income
3rd row	No Income
4th row	Income
5th row	No Income

Common Values

Value	Count	Frequency (%)
No Income	1069	74.8%
Income	360	25.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
income	1429	57.2%
no	1069	42.8%

Most occurring characters

Value	Count	Frequency (%)
o	2498	21.2%
I	1429	12.1%
n	1429	12.1%
c	1429	12.1%
m	1429	12.1%
e	1429	12.1%
N	1069	9.1%
	1069	9.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8214	69.7%
Uppercase Letter	2498	21.2%
Space Separator	1069	9.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	2498	30.4%
n	1429	17.4%
c	1429	17.4%
m	1429	17.4%
e	1429	17.4%

Uppercase Letter

Value	Count	Frequency (%)
I	1429	57.2%
N	1069	42.8%

Space Separator

Value	Count	Frequency (%)
	1069	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10712	90.9%
Common	1069	9.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	2498	23.3%
I	1429	13.3%
n	1429	13.3%
c	1429	13.3%
m	1429	13.3%
e	1429	13.3%
N	1069	10.0%

Common

Value	Count	Frequency (%)
	1069	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11781	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	2498	21.2%
I	1429	12.1%
n	1429	12.1%
c	1429	12.1%
m	1429	12.1%
e	1429	12.1%
N	1069	9.1%
	1069	9.1%

incoming_business
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	91.8 KiB

No Income	1275
Income	154

Length

Max length	9
Median length	9
Mean length	8.676696991
Min length	6

Characters and Unicode

Total characters	12399
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No Income
2nd row	No Income
3rd row	No Income
4th row	No Income
5th row	No Income

Common Values

Value	Count	Frequency (%)
No Income	1275	89.2%
Income	154	10.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
income	1429	52.8%
no	1275	47.2%

Most occurring characters

Value	Count	Frequency (%)
o	2704	21.8%
I	1429	11.5%
n	1429	11.5%
c	1429	11.5%
m	1429	11.5%
e	1429	11.5%
N	1275	10.3%
	1275	10.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8420	67.9%
Uppercase Letter	2704	21.8%
Space Separator	1275	10.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	2704	32.1%
n	1429	17.0%
c	1429	17.0%
m	1429	17.0%
e	1429	17.0%

Uppercase Letter

Value	Count	Frequency (%)
I	1429	52.8%
N	1275	47.2%

Space Separator

Value	Count	Frequency (%)
	1275	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11124	89.7%
Common	1275	10.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	2704	24.3%
I	1429	12.8%
n	1429	12.8%
c	1429	12.8%
m	1429	12.8%
e	1429	12.8%
N	1275	11.5%

Common

Value	Count	Frequency (%)
	1275	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	12399	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	2704	21.8%
I	1429	11.5%
n	1429	11.5%
c	1429	11.5%
m	1429	11.5%
e	1429	11.5%
N	1275	10.3%
	1275	10.3%

incoming_no_business
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	91.1 KiB

No Income	1057
Income	372

Length

Max length	9
Median length	9
Mean length	8.21903429
Min length	6

Characters and Unicode

Total characters	11745
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No Income
2nd row	No Income
3rd row	No Income
4th row	Income
5th row	No Income

Common Values

Value	Count	Frequency (%)
No Income	1057	74.0%
Income	372	26.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
income	1429	57.5%
no	1057	42.5%

Most occurring characters

Value	Count	Frequency (%)
o	2486	21.2%
I	1429	12.2%
n	1429	12.2%
c	1429	12.2%
m	1429	12.2%
e	1429	12.2%
N	1057	9.0%
	1057	9.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8202	69.8%
Uppercase Letter	2486	21.2%
Space Separator	1057	9.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	2486	30.3%
n	1429	17.4%
c	1429	17.4%
m	1429	17.4%
e	1429	17.4%

Uppercase Letter

Value	Count	Frequency (%)
I	1429	57.5%
N	1057	42.5%

Space Separator

Value	Count	Frequency (%)
	1057	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10688	91.0%
Common	1057	9.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	2486	23.3%
I	1429	13.4%
n	1429	13.4%
c	1429	13.4%
m	1429	13.4%
e	1429	13.4%
N	1057	9.9%

Common

Value	Count	Frequency (%)
	1057	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11745	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	2486	21.2%
I	1429	12.2%
n	1429	12.2%
c	1429	12.2%
m	1429	12.2%
e	1429	12.2%
N	1057	9.0%
	1057	9.0%

labor_primary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	91.3 KiB

No Income	1124
Income	305

Length

Max length	9
Median length	9
Mean length	8.359692092
Min length	6

Characters and Unicode

Total characters	11946
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	No Income
2nd row	No Income
3rd row	No Income
4th row	No Income
5th row	Income

Common Values

Value	Count	Frequency (%)
No Income	1124	78.7%
Income	305	21.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
income	1429	56.0%
no	1124	44.0%

Most occurring characters

Value	Count	Frequency (%)
o	2553	21.4%
I	1429	12.0%
n	1429	12.0%
c	1429	12.0%
m	1429	12.0%
e	1429	12.0%
N	1124	9.4%
	1124	9.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	8269	69.2%
Uppercase Letter	2553	21.4%
Space Separator	1124	9.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	2553	30.9%
n	1429	17.3%
c	1429	17.3%
m	1429	17.3%
e	1429	17.3%

Uppercase Letter

Value	Count	Frequency (%)
I	1429	56.0%
N	1124	44.0%

Space Separator

Value	Count	Frequency (%)
	1124	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10822	90.6%
Common	1124	9.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	2553	23.6%
I	1429	13.2%
n	1429	13.2%
c	1429	13.2%
m	1429	13.2%
e	1429	13.2%
N	1124	10.4%

Common

Value	Count	Frequency (%)
	1124	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	11946	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	2553	21.4%
I	1429	12.0%
n	1429	12.0%
c	1429	12.0%
m	1429	12.0%
e	1429	12.0%
N	1124	9.4%
	1124	9.4%

incoming_agricultural
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	330
Distinct (%)	23.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	34510389.12

Minimum	325112
Maximum	99789095
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	325112
5-th percentile	8931238
Q1	23222287
median	30028818
Q3	40038424
95-th percentile	80076849
Maximum	99789095
Range	99463983
Interquartile range (IQR)	16816137

Descriptive statistics

Standard deviation	20778461.8
Coefficient of variation (CV)	0.6020929444
Kurtosis	1.126379714
Mean	34510389.12
Median Absolute Deviation (MAD)	8674991
Skewness	1.162381006
Sum	4.931534605 × 10¹⁰
Variance	4.317444746 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30028818	528	36.9%
53384566	35	2.4%
26692283	27	1.9%
10676913	25	1.7%
13346142	24	1.7%
3203074	19	1.3%
42707653	19	1.3%
21353827	18	1.3%
80076847	17	1.2%
40038424	17	1.2%
Other values (320)	700	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
325112	1	0.1%
524837	1	0.1%
1040999	3	0.2%
1127749	1	0.1%
1134422	2	0.1%
1227845	1	0.1%
1601537	12	0.8%
1981902	1	0.1%
1988575	1	0.1%
2012598	1	0.1%

Value	Count	Frequency (%)
99789095	1	0.1%
98761454	4	0.3%
98761451	1	0.1%
98761444	1	0.1%
97426832	1	0.1%
96759529	1	0.1%
96092224	1	0.1%
96092218	1	0.1%
95024529	1	0.1%
94757605	1	0.1%

farm_expenses
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	694
Distinct (%)	48.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35491525.54

Minimum	271505
Maximum	99651194
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	271505
5-th percentile	6467540.2
Q1	22799659
median	31363432
Q3	43485844
95-th percentile	80179616.6
Maximum	99651194
Range	99379689
Interquartile range (IQR)	20686185

Descriptive statistics

Standard deviation	21123715.46
Coefficient of variation (CV)	0.595176317
Kurtosis	0.6794695371
Mean	35491525.54
Median Absolute Deviation (MAD)	9898386
Skewness	0.9818540864
Sum	5.071739 × 10¹⁰
Variance	4.462113547 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
31363432	490	34.3%
66730708	13	0.9%
53384566	10	0.7%
2224357	9	0.6%
20019212	9	0.6%
26692283	8	0.6%
46711496	8	0.6%
31140998	7	0.5%
70067245	6	0.4%
15570499	5	0.3%
Other values (684)	864	60.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
271505	1	0.1%
330317	1	0.1%
1021536	1	0.1%
1096608	2	0.1%
1183358	1	0.1%
1227845	1	0.1%
1240079	1	0.1%
1290127	1	0.1%
1501441	1	0.1%
1545928	1	0.1%

Value	Count	Frequency (%)
99651194	1	0.1%
99219666	1	0.1%
98983884	1	0.1%
98285103	1	0.1%
97871709	1	0.1%
97871703	3	0.2%
97426834	1	0.1%
97382345	1	0.1%
97315617	1	0.1%
96981966	1	0.1%

lasting_investment
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	982
Distinct (%)	68.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	32992215.08

Minimum	74292
Maximum	99446667
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	74292
5-th percentile	3502840.2
Q1	20019113
median	28411718
Q3	39826862
95-th percentile	80183650
Maximum	99446667
Range	99372375
Interquartile range (IQR)	19807749

Descriptive statistics

Standard deviation	21216209.32
Coefficient of variation (CV)	0.6430671379
Kurtosis	0.9207809173
Mean	32992215.08
Median Absolute Deviation (MAD)	9527866
Skewness	1.113504523
Sum	4.714587535 × 10¹⁰
Variance	4.501275381 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28411718	425	29.7%
1601537	3	0.2%
55513086	2	0.1%
54452259	2	0.1%
17456754	2	0.1%
18417674	2	0.1%
14692004	2	0.1%
18923431	2	0.1%
18577829	2	0.1%
12196976	2	0.1%
Other values (972)	985	68.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
74292	1	0.1%
249039	1	0.1%
297591	1	0.1%
298578	1	0.1%
299319	1	0.1%
337604	1	0.1%
349599	1	0.1%
362133	1	0.1%
423733	1	0.1%
434354	1	0.1%

Value	Count	Frequency (%)
99446667	1	0.1%
98965753	1	0.1%
98875537	1	0.1%
98555206	1	0.1%
98519951	1	0.1%
97350049	1	0.1%
97119873	1	0.1%
96487341	1	0.1%
96373187	1	0.1%
96092224	1	0.1%

no_lasting_investmen
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	939
Distinct (%)	66.6%
Missing	20
Missing (%)	1.4%
Infinite	0
Infinite (%)	0.0%
Mean	33603850.54

Minimum	126312
Maximum	99651194
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	11.3 KiB

Quantile statistics

Minimum	126312
5-th percentile	4542136.8
Q1	20642033
median	28292707
Q3	41517625
95-th percentile	80076848.2
Maximum	99651194
Range	99524882
Interquartile range (IQR)	20875592

Descriptive statistics

Standard deviation	21602279.52
Coefficient of variation (CV)	0.6428513154
Kurtosis	0.7809443319
Mean	33603850.54
Median Absolute Deviation (MAD)	9365209
Skewness	1.113117189
Sum	4.734782542 × 10¹⁰
Variance	4.666584806 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
28292707	425	29.7%
3558971	3	0.2%
60724945	3	0.2%
11121784	3	0.2%
20019212	3	0.2%
42262781	2	0.1%
80076849	2	0.1%
27025936	2	0.1%
2224357	2	0.1%
14235884	2	0.1%
Other values (929)	962	67.3%
(Missing)	20	1.4%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
126312	1	0.1%
127122	1	0.1%
132327	1	0.1%
169496	2	0.1%
287943	1	0.1%
503372	1	0.1%
861271	1	0.1%
888853	1	0.1%
909762	1	0.1%
1032235	1	0.1%

Value	Count	Frequency (%)
99651194	1	0.1%
99428755	1	0.1%
99117336	1	0.1%
98794813	1	0.1%
98450031	1	0.1%
97871703	1	0.1%
97871695	1	0.1%
97827215	1	0.1%
97760487	1	0.1%
96759529	1	0.1%

mental_health
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	96.9 KiB

Not Depressed	1191
Depressed	238

Length

Max length	13
Median length	13
Mean length	12.33379986
Min length	9

Characters and Unicode

Total characters	17625
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

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

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

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

Common Values

Value	Count	Frequency (%)
Not Depressed	1191	83.3%
Depressed	238	16.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
depressed	1429	54.5%
not	1191	45.5%

Most occurring characters

Value	Count	Frequency (%)
e	4287	24.3%
s	2858	16.2%
D	1429	8.1%
p	1429	8.1%
r	1429	8.1%
d	1429	8.1%
N	1191	6.8%
o	1191	6.8%
t	1191	6.8%
	1191	6.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13814	78.4%
Uppercase Letter	2620	14.9%
Space Separator	1191	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	4287	31.0%
s	2858	20.7%
p	1429	10.3%
r	1429	10.3%
d	1429	10.3%
o	1191	8.6%
t	1191	8.6%

Uppercase Letter

Value	Count	Frequency (%)
D	1429	54.5%
N	1191	45.5%

Space Separator

Value	Count	Frequency (%)
	1191	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16434	93.2%
Common	1191	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	4287	26.1%
s	2858	17.4%
D	1429	8.7%
p	1429	8.7%
r	1429	8.7%
d	1429	8.7%
N	1191	7.2%
o	1191	7.2%
t	1191	7.2%

Common

Value	Count	Frequency (%)
	1191	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17625	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	4287	24.3%
s	2858	16.2%
D	1429	8.1%
p	1429	8.1%
r	1429	8.1%
d	1429	8.1%
N	1191	6.8%
o	1191	6.8%
t	1191	6.8%
	1191	6.8%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

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 dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Survey_id	Ville_id	sex	age	relationship	number_children	education_level	total_members	gained_asset	durable_asset	save_asset	living_expenses	other_expenses	incoming_salary	incoming_own_farm	incoming_business	incoming_no_business	labor_primary	incoming_agricultural	farm_expenses	lasting_investment	no_lasting_investmen	mental_health
0	926	91	F	28	Couple	4	10	5	28912201	22861940	23399979	26692283	28203066	No Income	No Income	No Income	No Income	No Income	30028818	31363432	28411718	28292707.0	Not Depressed
1	747	57	F	23	Couple	3	8	5	28912201	22861940	23399979	26692283	28203066	No Income	No Income	No Income	No Income	No Income	30028818	31363432	28411718	28292707.0	Depressed
2	1190	115	F	22	Couple	3	9	5	28912201	22861940	23399979	26692283	28203066	No Income	No Income	No Income	No Income	No Income	30028818	31363432	28411718	28292707.0	Not Depressed
3	1065	97	F	27	Couple	2	10	4	52667108	19698904	49647648	397715	44042267	No Income	Income	No Income	Income	No Income	22288055	18751329	7781123	69219765.0	Not Depressed
4	806	42	M	59	Single	4	10	6	82606287	17352654	23399979	80877619	74503502	Income	No Income	No Income	No Income	Income	53384566	20731006	20100562	43419447.0	Not Depressed
5	483	25	F	35	Couple	6	10	8	35937466	736707	23399979	30696127	11531066	No Income	Income	No Income	Income	No Income	22688441	18907036	4442561	76629095.0	Not Depressed
6	849	130	M	34	Single	1	9	3	41303144	21925041	23399979	66730708	10890451	No Income	No Income	No Income	No Income	No Income	26692283	22243569	22562288	55608922.0	Depressed
7	1386	72	F	21	Couple	2	10	4	12013633	20323505	48046108	80076849	58456101	No Income	No Income	Income	No Income	No Income	9275569	36979933	33922659	54600174.0	Not Depressed
8	930	195	F	32	Couple	7	9	9	11087568	25224208	80076851	30162281	67184479	Income	No Income	No Income	No Income	Income	32564587	28738691	14018381	15117619.0	Not Depressed
9	390	33	F	29	Couple	4	10	5	28912201	22861940	23399979	26692283	28203066	No Income	No Income	No Income	No Income	No Income	30028818	31363432	28411718	28292707.0	Not Depressed

Last rows

	Survey_id	Ville_id	sex	age	relationship	number_children	education_level	total_members	gained_asset	durable_asset	save_asset	living_expenses	other_expenses	incoming_salary	incoming_own_farm	incoming_business	incoming_no_business	labor_primary	incoming_agricultural	farm_expenses	lasting_investment	no_lasting_investmen	mental_health
1419	81	7	F	30	Couple	1	14	5	28912201	22861940	23399979	26692283	28203066	No Income	No Income	No Income	No Income	No Income	30028818	31363432	28411718	28292707.0	Not Depressed
1420	707	52	F	20	Couple	2	10	5	28912201	22861940	23399979	26692283	28203066	No Income	No Income	No Income	No Income	No Income	30028818	31363432	28411718	28292707.0	Not Depressed
1421	1317	188	F	20	Couple	2	10	4	36531058	11210759	16456747	14387141	17136446	No Income	Income	No Income	Income	No Income	39771502	3942428	41031378	50755151.0	Not Depressed
1422	462	27	F	35	Couple	6	6	8	21764888	22861940	14112096	18471058	24823823	No Income	Income	No Income	No Income	No Income	13346142	11121784	2314812	15926396.0	Not Depressed
1423	109	15	F	25	Couple	3	9	5	24343362	16928246	38868158	77674545	325112	No Income	Income	No Income	No Income	No Income	13346142	53384566	86900793	17556848.0	Not Depressed
1424	255	22	F	25	Couple	1	7	5	28912201	22861940	23399979	26692283	28203066	No Income	No Income	No Income	No Income	No Income	30028818	31363432	28411718	28292707.0	Not Depressed
1425	547	69	F	28	Couple	4	10	6	15711078	24023054	15506558	10476722	71588707	No Income	Income	No Income	No Income	No Income	23022095	1021536	1823477	47384361.0	Not Depressed
1426	893	184	F	66	Single	0	1	1	42440731	22861940	22562605	12545372	56534257	No Income	Income	No Income	No Income	No Income	12545373	10454478	46444572	10454478.0	Depressed
1427	363	75	F	51	Couple	1	12	5	28912201	22861940	23399979	26692283	28203066	No Income	No Income	No Income	No Income	No Income	30028818	31363432	28411718	28292707.0	Not Depressed
1428	231	12	F	33	Single	4	8	5	81678391	22861940	47855984	10289875	10730298	No Income	Income	No Income	Income	No Income	20019212	16682677	69642126	13012488.0	Not Depressed

Overview

Variables

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot