Overview

Dataset statistics

Number of variables72
Number of observations102
Missing cells1651
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory64.3 KiB
Average record size in memory645.3 B

Variable types

Categorical6
Numeric61
Text1
Unsupported4

Alerts

STD_YM has constant value ""Constant
MEGA_CTY_NM has constant value ""Constant
CTY_RGN_NM has constant value ""Constant
CP_AMT has constant value ""Constant
AGE09_AMT has constant value ""Constant
CP_CNT has 102 (100.0%) missing valuesMissing
MALE_CNT has 2 (2.0%) missing valuesMissing
FEMALE_CNT has 23 (22.5%) missing valuesMissing
AGE09_CNT has 102 (100.0%) missing valuesMissing
AGE10_CNT has 87 (85.3%) missing valuesMissing
AGE20_CNT has 49 (48.0%) missing valuesMissing
AGE30_CNT has 34 (33.3%) missing valuesMissing
AGE40_CNT has 20 (19.6%) missing valuesMissing
AGE50_CNT has 29 (28.4%) missing valuesMissing
AGE60_CNT has 39 (38.2%) missing valuesMissing
AGE70_CNT has 66 (64.7%) missing valuesMissing
MON_CNT has 25 (24.5%) missing valuesMissing
TUE_CNT has 29 (28.4%) missing valuesMissing
WED_CNT has 39 (38.2%) missing valuesMissing
THU_CNT has 39 (38.2%) missing valuesMissing
FRI_CNT has 31 (30.4%) missing valuesMissing
SAT_CNT has 29 (28.4%) missing valuesMissing
SUN_CNT has 47 (46.1%) missing valuesMissing
TIME0005_CNT has 88 (86.3%) missing valuesMissing
TIME0610_CNT has 40 (39.2%) missing valuesMissing
TIME1113_CNT has 21 (20.6%) missing valuesMissing
TIME1417_CNT has 14 (13.7%) missing valuesMissing
TIME1820_CNT has 38 (37.3%) missing valuesMissing
TIME2123_CNT has 71 (69.6%) missing valuesMissing
CP_CST has 102 (100.0%) missing valuesMissing
MALE_CST has 3 (2.9%) missing valuesMissing
FEMALE_CST has 25 (24.5%) missing valuesMissing
AGE09_CST has 102 (100.0%) missing valuesMissing
AGE10_CST has 90 (88.2%) missing valuesMissing
AGE20_CST has 54 (52.9%) missing valuesMissing
AGE30_CST has 39 (38.2%) missing valuesMissing
AGE40_CST has 25 (24.5%) missing valuesMissing
AGE50_CST has 32 (31.4%) missing valuesMissing
AGE60_CST has 45 (44.1%) missing valuesMissing
AGE70_CST has 70 (68.6%) missing valuesMissing
AMT has unique valuesUnique
INDV_AMT has unique valuesUnique
MALE_AMT has unique valuesUnique
CP_CNT is an unsupported type, check if it needs cleaning or further analysisUnsupported
AGE09_CNT is an unsupported type, check if it needs cleaning or further analysisUnsupported
CP_CST is an unsupported type, check if it needs cleaning or further analysisUnsupported
AGE09_CST is an unsupported type, check if it needs cleaning or further analysisUnsupported
FEMALE_AMT has 3 (2.9%) zerosZeros
AGE10_AMT has 73 (71.6%) zerosZeros
AGE20_AMT has 20 (19.6%) zerosZeros
AGE30_AMT has 9 (8.8%) zerosZeros
AGE40_AMT has 2 (2.0%) zerosZeros
AGE50_AMT has 3 (2.9%) zerosZeros
AGE60_AMT has 15 (14.7%) zerosZeros
AGE70_AMT has 30 (29.4%) zerosZeros
MON_AMT has 5 (4.9%) zerosZeros
TUE_AMT has 7 (6.9%) zerosZeros
WED_AMT has 9 (8.8%) zerosZeros
THU_AMT has 8 (7.8%) zerosZeros
FRI_AMT has 6 (5.9%) zerosZeros
SAT_AMT has 10 (9.8%) zerosZeros
SUN_AMT has 26 (25.5%) zerosZeros
TIME0005_AMT has 81 (79.4%) zerosZeros
TIME0610_AMT has 13 (12.7%) zerosZeros
TIME1113_AMT has 4 (3.9%) zerosZeros
TIME1417_AMT has 6 (5.9%) zerosZeros
TIME1820_AMT has 19 (18.6%) zerosZeros
TIME2123_AMT has 56 (54.9%) zerosZeros

Reproduction

Analysis started2024-04-17 12:45:40.038519
Analysis finished2024-04-17 12:45:40.550121
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

STD_YM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
202203
102 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202203
2nd row202203
3rd row202203
4th row202203
5th row202203

Common Values

ValueCountFrequency (%)
202203 102
100.0%

Length

2024-04-17T21:45:40.599166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:45:40.666416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202203 102
100.0%

MEGA_CTY_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
충청남도
102 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row충청남도
2nd row충청남도
3rd row충청남도
4th row충청남도
5th row충청남도

Common Values

ValueCountFrequency (%)
충청남도 102
100.0%

Length

2024-04-17T21:45:40.732473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:45:40.797181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
충청남도 102
100.0%

CTY_RGN_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
아산시
102 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row아산시
2nd row아산시
3rd row아산시
4th row아산시
5th row아산시

Common Values

ValueCountFrequency (%)
아산시 102
100.0%

Length

2024-04-17T21:45:40.866388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:45:40.935105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아산시 102
100.0%

ADMI_CTY_NM
Categorical

Distinct9
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size948.0 B
배방읍
28 
둔포면
26 
신창면
13 
염치읍
11 
도고면
10 
Other values (4)
14 

Length

Max length4
Median length3
Mean length3.0098039
Min length3

Unique

Unique2 ?
Unique (%)2.0%

Sample

1st row도고면
2nd row도고면
3rd row도고면
4th row도고면
5th row도고면

Common Values

ValueCountFrequency (%)
배방읍 28
27.5%
둔포면 26
25.5%
신창면 13
12.7%
염치읍 11
 
10.8%
도고면 10
 
9.8%
영인면 8
 
7.8%
선장면 4
 
3.9%
송악면 1
 
1.0%
온양1동 1
 
1.0%

Length

2024-04-17T21:45:41.009199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:45:41.317801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
배방읍 28
27.5%
둔포면 26
25.5%
신창면 13
12.7%
염치읍 11
 
10.8%
도고면 10
 
9.8%
영인면 8
 
7.8%
선장면 4
 
3.9%
송악면 1
 
1.0%
온양1동 1
 
1.0%

ADMI_CTY_NO
Real number (ℝ)

Distinct9
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44200333
Minimum44200250
Maximum44200570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:41.406799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum44200250
5-th percentile44200250
Q144200253
median44200360
Q344200390
95-th percentile44200410
Maximum44200570
Range320
Interquartile range (IQR)137

Descriptive statistics

Standard deviation68.688471
Coefficient of variation (CV)1.5540261 × 10-6
Kurtosis-0.46707354
Mean44200333
Median Absolute Deviation (MAD)50
Skewness0.12038564
Sum4.5084339 × 109
Variance4718.106
MonotonicityNot monotonic
2024-04-17T21:45:41.483950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
44200253 28
27.5%
44200360 26
25.5%
44200410 13
12.7%
44200250 11
 
10.8%
44200400 10
 
9.8%
44200370 8
 
7.8%
44200390 4
 
3.9%
44200310 1
 
1.0%
44200570 1
 
1.0%
ValueCountFrequency (%)
44200250 11
 
10.8%
44200253 28
27.5%
44200310 1
 
1.0%
44200360 26
25.5%
44200370 8
 
7.8%
44200390 4
 
3.9%
44200400 10
 
9.8%
44200410 13
12.7%
44200570 1
 
1.0%
ValueCountFrequency (%)
44200570 1
 
1.0%
44200410 13
12.7%
44200400 10
 
9.8%
44200390 4
 
3.9%
44200370 8
 
7.8%
44200360 26
25.5%
44200310 1
 
1.0%
44200253 28
27.5%
44200250 11
 
10.8%

TBBUZ_NO
Real number (ℝ)

Distinct71
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6312.6569
Minimum1020
Maximum9901
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:41.586396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1020
5-th percentile2015.05
Q14202
median7100.5
Q38310
95-th percentile9299
Maximum9901
Range8881
Interquartile range (IQR)4108

Descriptive statistics

Standard deviation2530.0488
Coefficient of variation (CV)0.40078985
Kurtosis-1.0435264
Mean6312.6569
Median Absolute Deviation (MAD)1905.5
Skewness-0.53572204
Sum643891
Variance6401146.9
MonotonicityNot monotonic
2024-04-17T21:45:41.686126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8399 5
 
4.9%
9006 4
 
3.9%
9099 4
 
3.9%
3301 3
 
2.9%
8004 3
 
2.9%
8021 3
 
2.9%
8310 3
 
2.9%
8006 3
 
2.9%
9602 2
 
2.0%
5210 2
 
2.0%
Other values (61) 70
68.6%
ValueCountFrequency (%)
1020 1
1.0%
1199 2
2.0%
2001 1
1.0%
2002 1
1.0%
2010 1
1.0%
2111 1
1.0%
2113 1
1.0%
2130 1
1.0%
2199 1
1.0%
2230 1
1.0%
ValueCountFrequency (%)
9901 1
 
1.0%
9602 2
2.0%
9304 1
 
1.0%
9301 1
 
1.0%
9299 2
2.0%
9199 1
 
1.0%
9130 1
 
1.0%
9099 4
3.9%
9006 4
3.9%
9004 1
 
1.0%
Distinct71
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size948.0 B
2024-04-17T21:45:41.889128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length4.5490196
Min length2

Characters and Unicode

Total characters464
Distinct characters134
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)51.0%

Sample

1st row침구수예점
2nd row신발
3rd row유아원
4th row일식회집
5th row중국음식
ValueCountFrequency (%)
기타음료식품 5
 
4.9%
기타건축자재 4
 
3.9%
목재석재철물 4
 
3.9%
주유소 3
 
2.9%
일식회집 3
 
2.9%
스넥 3
 
2.9%
서양음식 3
 
2.9%
농축수산품 3
 
2.9%
편의점 2
 
2.0%
농축협직영매장 2
 
2.0%
Other values (61) 70
68.6%
2024-04-17T21:45:42.192135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
6.9%
23
 
5.0%
14
 
3.0%
13
 
2.8%
13
 
2.8%
13
 
2.8%
12
 
2.6%
11
 
2.4%
9
 
1.9%
9
 
1.9%
Other values (124) 315
67.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 457
98.5%
Uppercase Letter 3
 
0.6%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
32
 
7.0%
23
 
5.0%
14
 
3.1%
13
 
2.8%
13
 
2.8%
13
 
2.8%
12
 
2.6%
11
 
2.4%
9
 
2.0%
9
 
2.0%
Other values (119) 308
67.4%
Uppercase Letter
ValueCountFrequency (%)
G 1
33.3%
L 1
33.3%
P 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 457
98.5%
Common 4
 
0.9%
Latin 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
32
 
7.0%
23
 
5.0%
14
 
3.1%
13
 
2.8%
13
 
2.8%
13
 
2.8%
12
 
2.6%
11
 
2.4%
9
 
2.0%
9
 
2.0%
Other values (119) 308
67.4%
Latin
ValueCountFrequency (%)
G 1
33.3%
L 1
33.3%
P 1
33.3%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 457
98.5%
ASCII 7
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
32
 
7.0%
23
 
5.0%
14
 
3.1%
13
 
2.8%
13
 
2.8%
13
 
2.8%
12
 
2.6%
11
 
2.4%
9
 
2.0%
9
 
2.0%
Other values (119) 308
67.4%
ASCII
ValueCountFrequency (%)
( 2
28.6%
) 2
28.6%
G 1
14.3%
L 1
14.3%
P 1
14.3%

CNT
Real number (ℝ)

Distinct86
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1161.5784
Minimum5
Maximum22374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:42.305126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.05
Q122
median93.5
Q3409.25
95-th percentile7721.45
Maximum22374
Range22369
Interquartile range (IQR)387.25

Descriptive statistics

Standard deviation3054.5187
Coefficient of variation (CV)2.6296276
Kurtosis24.183918
Mean1161.5784
Median Absolute Deviation (MAD)78.5
Skewness4.3829923
Sum118481
Variance9330084.2
MonotonicityNot monotonic
2024-04-17T21:45:42.403778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 4
 
3.9%
6 3
 
2.9%
16 2
 
2.0%
22 2
 
2.0%
68 2
 
2.0%
12 2
 
2.0%
8 2
 
2.0%
26 2
 
2.0%
9 2
 
2.0%
10 2
 
2.0%
Other values (76) 79
77.5%
ValueCountFrequency (%)
5 1
 
1.0%
6 3
2.9%
8 2
2.0%
9 2
2.0%
10 2
2.0%
12 2
2.0%
13 1
 
1.0%
14 1
 
1.0%
15 2
2.0%
16 2
2.0%
ValueCountFrequency (%)
22374 1
1.0%
11338 1
1.0%
8925 1
1.0%
8627 1
1.0%
8252 1
1.0%
7776 1
1.0%
6685 1
1.0%
5134 1
1.0%
4570 1
1.0%
4193 1
1.0%

INDV_CNT
Real number (ℝ)

Distinct86
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1161.5784
Minimum5
Maximum22374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:42.502236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8.05
Q122
median93.5
Q3409.25
95-th percentile7721.45
Maximum22374
Range22369
Interquartile range (IQR)387.25

Descriptive statistics

Standard deviation3054.5187
Coefficient of variation (CV)2.6296276
Kurtosis24.183918
Mean1161.5784
Median Absolute Deviation (MAD)78.5
Skewness4.3829923
Sum118481
Variance9330084.2
MonotonicityNot monotonic
2024-04-17T21:45:42.598933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 4
 
3.9%
6 3
 
2.9%
16 2
 
2.0%
22 2
 
2.0%
68 2
 
2.0%
12 2
 
2.0%
8 2
 
2.0%
26 2
 
2.0%
9 2
 
2.0%
10 2
 
2.0%
Other values (76) 79
77.5%
ValueCountFrequency (%)
5 1
 
1.0%
6 3
2.9%
8 2
2.0%
9 2
2.0%
10 2
2.0%
12 2
2.0%
13 1
 
1.0%
14 1
 
1.0%
15 2
2.0%
16 2
2.0%
ValueCountFrequency (%)
22374 1
1.0%
11338 1
1.0%
8925 1
1.0%
8627 1
1.0%
8252 1
1.0%
7776 1
1.0%
6685 1
1.0%
5134 1
1.0%
4570 1
1.0%
4193 1
1.0%

CP_CNT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

MALE_CNT
Real number (ℝ)

MISSING 

Distinct77
Distinct (%)77.0%
Missing2
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean798.19
Minimum5
Maximum13086
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:42.696126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q116
median65.5
Q3296.25
95-th percentile5081.5
Maximum13086
Range13081
Interquartile range (IQR)280.25

Descriptive statistics

Standard deviation1963.8489
Coefficient of variation (CV)2.4603778
Kurtosis16.808951
Mean798.19
Median Absolute Deviation (MAD)56
Skewness3.7209806
Sum79819
Variance3856702.7
MonotonicityNot monotonic
2024-04-17T21:45:42.814361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 6
 
5.9%
9 3
 
2.9%
5 3
 
2.9%
16 3
 
2.9%
13 3
 
2.9%
32 3
 
2.9%
10 2
 
2.0%
25 2
 
2.0%
95 2
 
2.0%
8 2
 
2.0%
Other values (67) 71
69.6%
ValueCountFrequency (%)
5 3
2.9%
6 1
 
1.0%
7 6
5.9%
8 2
 
2.0%
9 3
2.9%
10 2
 
2.0%
11 1
 
1.0%
12 1
 
1.0%
13 3
2.9%
14 1
 
1.0%
ValueCountFrequency (%)
13086 1
1.0%
7129 1
1.0%
6781 1
1.0%
5776 1
1.0%
5414 1
1.0%
5064 1
1.0%
4975 1
1.0%
3735 1
1.0%
3346 1
1.0%
2944 1
1.0%

FEMALE_CNT
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)77.2%
Missing23
Missing (%)22.5%
Infinite0
Infinite (%)0.0%
Mean488.72152
Minimum5
Maximum9288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:42.920320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q115
median44
Q3255
95-th percentile2536.4
Maximum9288
Range9283
Interquartile range (IQR)240

Descriptive statistics

Standard deviation1302.9722
Coefficient of variation (CV)2.6660832
Kurtosis27.780623
Mean488.72152
Median Absolute Deviation (MAD)35
Skewness4.790985
Sum38609
Variance1697736.6
MonotonicityNot monotonic
2024-04-17T21:45:43.030181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 5
 
4.9%
9 5
 
4.9%
30 3
 
2.9%
48 2
 
2.0%
12 2
 
2.0%
40 2
 
2.0%
5 2
 
2.0%
11 2
 
2.0%
15 2
 
2.0%
42 2
 
2.0%
Other values (51) 52
51.0%
(Missing) 23
22.5%
ValueCountFrequency (%)
5 2
 
2.0%
7 5
4.9%
9 5
4.9%
10 1
 
1.0%
11 2
 
2.0%
12 2
 
2.0%
14 2
 
2.0%
15 2
 
2.0%
16 1
 
1.0%
18 1
 
1.0%
ValueCountFrequency (%)
9288 1
1.0%
4557 1
1.0%
3511 1
1.0%
3188 1
1.0%
2464 1
1.0%
2000 1
1.0%
1710 1
1.0%
1498 1
1.0%
1338 1
1.0%
1249 1
1.0%

AGE09_CNT
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

AGE10_CNT
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)86.7%
Missing87
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean94
Minimum5
Maximum417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:43.118999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q111
median28
Q388
95-th percentile375
Maximum417
Range412
Interquartile range (IQR)77

Descriptive statistics

Standard deviation138.7315
Coefficient of variation (CV)1.475867
Kurtosis1.3588966
Mean94
Median Absolute Deviation (MAD)22
Skewness1.6545079
Sum1410
Variance19246.429
MonotonicityNot monotonic
2024-04-17T21:45:43.193280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
12 2
 
2.0%
5 2
 
2.0%
64 1
 
1.0%
45 1
 
1.0%
112 1
 
1.0%
281 1
 
1.0%
10 1
 
1.0%
417 1
 
1.0%
357 1
 
1.0%
18 1
 
1.0%
Other values (3) 3
 
2.9%
(Missing) 87
85.3%
ValueCountFrequency (%)
5 2
2.0%
6 1
1.0%
10 1
1.0%
12 2
2.0%
18 1
1.0%
28 1
1.0%
38 1
1.0%
45 1
1.0%
64 1
1.0%
112 1
1.0%
ValueCountFrequency (%)
417 1
1.0%
357 1
1.0%
281 1
1.0%
112 1
1.0%
64 1
1.0%
45 1
1.0%
38 1
1.0%
28 1
1.0%
18 1
1.0%
12 2
2.0%

AGE20_CNT
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)81.1%
Missing49
Missing (%)48.0%
Infinite0
Infinite (%)0.0%
Mean349.71698
Minimum5
Maximum4782
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:43.280082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q112
median32
Q3198
95-th percentile1619
Maximum4782
Range4777
Interquartile range (IQR)186

Descriptive statistics

Standard deviation838.28367
Coefficient of variation (CV)2.3970345
Kurtosis16.411577
Mean349.71698
Median Absolute Deviation (MAD)25
Skewness3.8253817
Sum18535
Variance702719.51
MonotonicityNot monotonic
2024-04-17T21:45:43.380734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
7 4
 
3.9%
12 3
 
2.9%
23 2
 
2.0%
5 2
 
2.0%
6 2
 
2.0%
9 2
 
2.0%
32 2
 
2.0%
114 1
 
1.0%
1122 1
 
1.0%
65 1
 
1.0%
Other values (33) 33
32.4%
(Missing) 49
48.0%
ValueCountFrequency (%)
5 2
2.0%
6 2
2.0%
7 4
3.9%
8 1
 
1.0%
9 2
2.0%
10 1
 
1.0%
12 3
2.9%
13 1
 
1.0%
16 1
 
1.0%
20 1
 
1.0%
ValueCountFrequency (%)
4782 1
1.0%
2932 1
1.0%
2360 1
1.0%
1125 1
1.0%
1122 1
1.0%
1041 1
1.0%
925 1
1.0%
874 1
1.0%
408 1
1.0%
375 1
1.0%

AGE30_CNT
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)79.4%
Missing34
Missing (%)33.3%
Infinite0
Infinite (%)0.0%
Mean474.10294
Minimum5
Maximum7159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:43.478617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.35
Q115
median37
Q3324.5
95-th percentile2763
Maximum7159
Range7154
Interquartile range (IQR)309.5

Descriptive statistics

Standard deviation1122.0667
Coefficient of variation (CV)2.3667154
Kurtosis19.248019
Mean474.10294
Median Absolute Deviation (MAD)30.5
Skewness3.9800967
Sum32239
Variance1259033.7
MonotonicityNot monotonic
2024-04-17T21:45:43.579470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 4
 
3.9%
15 4
 
3.9%
28 2
 
2.0%
14 2
 
2.0%
38 2
 
2.0%
8 2
 
2.0%
16 2
 
2.0%
17 2
 
2.0%
10 2
 
2.0%
6 2
 
2.0%
Other values (44) 44
43.1%
(Missing) 34
33.3%
ValueCountFrequency (%)
5 4
3.9%
6 2
2.0%
7 1
 
1.0%
8 2
2.0%
10 2
2.0%
11 1
 
1.0%
13 1
 
1.0%
14 2
2.0%
15 4
3.9%
16 2
2.0%
ValueCountFrequency (%)
7159 1
1.0%
3235 1
1.0%
3144 1
1.0%
2952 1
1.0%
2412 1
1.0%
2381 1
1.0%
1379 1
1.0%
1195 1
1.0%
1146 1
1.0%
881 1
1.0%

AGE40_CNT
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)73.2%
Missing20
Missing (%)19.6%
Infinite0
Infinite (%)0.0%
Mean397.71951
Minimum5
Maximum6121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:43.683921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6.05
Q114.25
median35.5
Q3225.5
95-th percentile2607.05
Maximum6121
Range6116
Interquartile range (IQR)211.25

Descriptive statistics

Standard deviation949.84346
Coefficient of variation (CV)2.3882244
Kurtosis17.088229
Mean397.71951
Median Absolute Deviation (MAD)25
Skewness3.7637539
Sum32613
Variance902202.6
MonotonicityNot monotonic
2024-04-17T21:45:43.788498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 4
 
3.9%
12 3
 
2.9%
31 3
 
2.9%
8 3
 
2.9%
13 3
 
2.9%
25 2
 
2.0%
14 2
 
2.0%
17 2
 
2.0%
15 2
 
2.0%
22 2
 
2.0%
Other values (50) 56
54.9%
(Missing) 20
 
19.6%
ValueCountFrequency (%)
5 4
3.9%
6 1
 
1.0%
7 1
 
1.0%
8 3
2.9%
9 2
2.0%
10 1
 
1.0%
11 1
 
1.0%
12 3
2.9%
13 3
2.9%
14 2
2.0%
ValueCountFrequency (%)
6121 1
1.0%
3068 1
1.0%
2852 1
1.0%
2728 1
1.0%
2618 1
1.0%
2399 1
1.0%
1796 1
1.0%
1500 1
1.0%
1094 1
1.0%
1058 1
1.0%

AGE50_CNT
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)75.3%
Missing29
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean278.93151
Minimum6
Maximum3042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:43.893802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.6
Q116
median36
Q3180
95-th percentile1473.8
Maximum3042
Range3036
Interquartile range (IQR)164

Descriptive statistics

Standard deviation549.70291
Coefficient of variation (CV)1.9707451
Kurtosis9.2780939
Mean278.93151
Median Absolute Deviation (MAD)29
Skewness2.8583492
Sum20362
Variance302173.29
MonotonicityNot monotonic
2024-04-17T21:45:43.997291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 4
 
3.9%
6 4
 
3.9%
15 3
 
2.9%
34 2
 
2.0%
85 2
 
2.0%
38 2
 
2.0%
35 2
 
2.0%
16 2
 
2.0%
24 2
 
2.0%
8 2
 
2.0%
Other values (45) 48
47.1%
(Missing) 29
28.4%
ValueCountFrequency (%)
6 4
3.9%
7 4
3.9%
8 2
2.0%
10 2
2.0%
11 1
 
1.0%
14 1
 
1.0%
15 3
2.9%
16 2
2.0%
18 1
 
1.0%
21 1
 
1.0%
ValueCountFrequency (%)
3042 1
1.0%
1892 1
1.0%
1563 1
1.0%
1547 1
1.0%
1425 1
1.0%
1346 1
1.0%
1225 1
1.0%
1075 1
1.0%
811 1
1.0%
800 1
1.0%

AGE60_CNT
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)76.2%
Missing39
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean152.66667
Minimum5
Maximum1510
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:44.108255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.1
Q110
median34
Q398
95-th percentile713.6
Maximum1510
Range1505
Interquartile range (IQR)88

Descriptive statistics

Standard deviation293.12003
Coefficient of variation (CV)1.9200002
Kurtosis9.178441
Mean152.66667
Median Absolute Deviation (MAD)26
Skewness2.9245396
Sum9618
Variance85919.355
MonotonicityNot monotonic
2024-04-17T21:45:44.214220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
8 4
 
3.9%
5 4
 
3.9%
6 4
 
3.9%
9 3
 
2.9%
10 2
 
2.0%
33 2
 
2.0%
36 2
 
2.0%
34 2
 
2.0%
14 1
 
1.0%
25 1
 
1.0%
Other values (38) 38
37.3%
(Missing) 39
38.2%
ValueCountFrequency (%)
5 4
3.9%
6 4
3.9%
8 4
3.9%
9 3
2.9%
10 2
2.0%
12 1
 
1.0%
13 1
 
1.0%
14 1
 
1.0%
16 1
 
1.0%
17 1
 
1.0%
ValueCountFrequency (%)
1510 1
1.0%
1180 1
1.0%
945 1
1.0%
720 1
1.0%
656 1
1.0%
475 1
1.0%
464 1
1.0%
446 1
1.0%
443 1
1.0%
398 1
1.0%

AGE70_CNT
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)80.6%
Missing66
Missing (%)64.7%
Infinite0
Infinite (%)0.0%
Mean92.5
Minimum5
Maximum855
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:44.313517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q19.5
median18.5
Q362.5
95-th percentile653.75
Maximum855
Range850
Interquartile range (IQR)53

Descriptive statistics

Standard deviation199.42209
Coefficient of variation (CV)2.1559145
Kurtosis8.548704
Mean92.5
Median Absolute Deviation (MAD)12.5
Skewness3.0614205
Sum3330
Variance39769.171
MonotonicityNot monotonic
2024-04-17T21:45:44.399278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
6 5
 
4.9%
5 3
 
2.9%
17 2
 
2.0%
67 1
 
1.0%
14 1
 
1.0%
21 1
 
1.0%
61 1
 
1.0%
645 1
 
1.0%
18 1
 
1.0%
12 1
 
1.0%
Other values (19) 19
 
18.6%
(Missing) 66
64.7%
ValueCountFrequency (%)
5 3
2.9%
6 5
4.9%
8 1
 
1.0%
10 1
 
1.0%
11 1
 
1.0%
12 1
 
1.0%
14 1
 
1.0%
15 1
 
1.0%
16 1
 
1.0%
17 2
 
2.0%
ValueCountFrequency (%)
855 1
1.0%
680 1
1.0%
645 1
1.0%
133 1
1.0%
123 1
1.0%
120 1
1.0%
113 1
1.0%
108 1
1.0%
67 1
1.0%
61 1
1.0%

MON_CNT
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)67.5%
Missing25
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean231.71429
Minimum5
Maximum3305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:44.499866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.8
Q110
median24
Q3124
95-th percentile1260.6
Maximum3305
Range3300
Interquartile range (IQR)114

Descriptive statistics

Standard deviation515.44275
Coefficient of variation (CV)2.2244755
Kurtosis16.956657
Mean231.71429
Median Absolute Deviation (MAD)17
Skewness3.6806042
Sum17842
Variance265681.23
MonotonicityNot monotonic
2024-04-17T21:45:44.827988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 5
 
4.9%
8 5
 
4.9%
5 4
 
3.9%
10 3
 
2.9%
24 3
 
2.9%
6 3
 
2.9%
14 2
 
2.0%
17 2
 
2.0%
12 2
 
2.0%
22 2
 
2.0%
Other values (42) 46
45.1%
(Missing) 25
24.5%
ValueCountFrequency (%)
5 4
3.9%
6 3
2.9%
7 5
4.9%
8 5
4.9%
9 1
 
1.0%
10 3
2.9%
12 2
 
2.0%
13 1
 
1.0%
14 2
 
2.0%
15 1
 
1.0%
ValueCountFrequency (%)
3305 1
1.0%
1684 1
1.0%
1365 1
1.0%
1331 1
1.0%
1243 1
1.0%
1219 1
1.0%
1065 1
1.0%
805 1
1.0%
620 1
1.0%
609 1
1.0%

TUE_CNT
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)71.2%
Missing29
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean249.89041
Minimum5
Maximum3705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:44.934355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q112
median27
Q3148
95-th percentile1383.4
Maximum3705
Range3700
Interquartile range (IQR)136

Descriptive statistics

Standard deviation561.87268
Coefficient of variation (CV)2.2484763
Kurtosis20.035644
Mean249.89041
Median Absolute Deviation (MAD)19
Skewness3.9826923
Sum18242
Variance315700.9
MonotonicityNot monotonic
2024-04-17T21:45:45.046464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 4
 
3.9%
18 3
 
2.9%
23 3
 
2.9%
12 3
 
2.9%
20 3
 
2.9%
8 3
 
2.9%
10 3
 
2.9%
38 2
 
2.0%
34 2
 
2.0%
5 2
 
2.0%
Other values (42) 45
44.1%
(Missing) 29
28.4%
ValueCountFrequency (%)
5 2
2.0%
6 4
3.9%
7 2
2.0%
8 3
2.9%
9 2
2.0%
10 3
2.9%
11 1
 
1.0%
12 3
2.9%
14 2
2.0%
17 1
 
1.0%
ValueCountFrequency (%)
3705 1
1.0%
1638 1
1.0%
1432 1
1.0%
1396 1
1.0%
1375 1
1.0%
1230 1
1.0%
935 1
1.0%
825 1
1.0%
653 1
1.0%
520 1
1.0%

WED_CNT
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)79.4%
Missing39
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean233.92063
Minimum5
Maximum2934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:45.152322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q115
median27
Q3167.5
95-th percentile1103.7
Maximum2934
Range2929
Interquartile range (IQR)152.5

Descriptive statistics

Standard deviation476.20978
Coefficient of variation (CV)2.035775
Kurtosis16.470157
Mean233.92063
Median Absolute Deviation (MAD)21
Skewness3.5993485
Sum14737
Variance226775.75
MonotonicityNot monotonic
2024-04-17T21:45:45.255669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 3
 
2.9%
15 3
 
2.9%
7 2
 
2.0%
23 2
 
2.0%
19 2
 
2.0%
17 2
 
2.0%
27 2
 
2.0%
10 2
 
2.0%
11 2
 
2.0%
6 2
 
2.0%
Other values (40) 41
40.2%
(Missing) 39
38.2%
ValueCountFrequency (%)
5 3
2.9%
6 2
2.0%
7 2
2.0%
8 1
 
1.0%
9 1
 
1.0%
10 2
2.0%
11 2
2.0%
13 1
 
1.0%
15 3
2.9%
16 1
 
1.0%
ValueCountFrequency (%)
2934 1
1.0%
1215 1
1.0%
1212 1
1.0%
1110 1
1.0%
1047 1
1.0%
998 1
1.0%
985 1
1.0%
547 1
1.0%
530 1
1.0%
520 1
1.0%

THU_CNT
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)76.2%
Missing39
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean237.06349
Minimum5
Maximum3035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:45.354739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q113
median27
Q3173.5
95-th percentile1175.2
Maximum3035
Range3030
Interquartile range (IQR)160.5

Descriptive statistics

Standard deviation494.49247
Coefficient of variation (CV)2.0859073
Kurtosis16.482141
Mean237.06349
Median Absolute Deviation (MAD)21
Skewness3.6297593
Sum14935
Variance244522.8
MonotonicityNot monotonic
2024-04-17T21:45:45.453286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5 5
 
4.9%
20 4
 
3.9%
13 3
 
2.9%
18 2
 
2.0%
7 2
 
2.0%
11 2
 
2.0%
27 2
 
2.0%
8 2
 
2.0%
21 2
 
2.0%
343 1
 
1.0%
Other values (38) 38
37.3%
(Missing) 39
38.2%
ValueCountFrequency (%)
5 5
4.9%
6 1
 
1.0%
7 2
 
2.0%
8 2
 
2.0%
9 1
 
1.0%
10 1
 
1.0%
11 2
 
2.0%
12 1
 
1.0%
13 3
2.9%
14 1
 
1.0%
ValueCountFrequency (%)
3035 1
1.0%
1341 1
1.0%
1272 1
1.0%
1178 1
1.0%
1150 1
1.0%
1029 1
1.0%
875 1
1.0%
535 1
1.0%
515 1
1.0%
465 1
1.0%

FRI_CNT
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)69.0%
Missing31
Missing (%)30.4%
Infinite0
Infinite (%)0.0%
Mean227.33803
Minimum5
Maximum3157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:45.563711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q113
median26
Q3170.5
95-th percentile1145
Maximum3157
Range3152
Interquartile range (IQR)157.5

Descriptive statistics

Standard deviation489.88051
Coefficient of variation (CV)2.1548551
Kurtosis18.327746
Mean227.33803
Median Absolute Deviation (MAD)18
Skewness3.7972146
Sum16141
Variance239982.91
MonotonicityNot monotonic
2024-04-17T21:45:45.664025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
10 4
 
3.9%
18 4
 
3.9%
5 3
 
2.9%
16 3
 
2.9%
8 3
 
2.9%
7 2
 
2.0%
13 2
 
2.0%
21 2
 
2.0%
14 2
 
2.0%
26 2
 
2.0%
Other values (39) 44
43.1%
(Missing) 31
30.4%
ValueCountFrequency (%)
5 3
2.9%
6 2
2.0%
7 2
2.0%
8 3
2.9%
9 2
2.0%
10 4
3.9%
12 1
 
1.0%
13 2
2.0%
14 2
2.0%
16 3
2.9%
ValueCountFrequency (%)
3157 1
1.0%
1453 1
1.0%
1240 1
1.0%
1172 1
1.0%
1118 1
1.0%
1100 1
1.0%
930 1
1.0%
735 1
1.0%
588 1
1.0%
475 1
1.0%

SAT_CNT
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)69.9%
Missing29
Missing (%)28.4%
Infinite0
Infinite (%)0.0%
Mean238.23288
Minimum5
Maximum2937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:45.773154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q111
median27
Q3147
95-th percentile1115.2
Maximum2937
Range2932
Interquartile range (IQR)136

Descriptive statistics

Standard deviation488.91849
Coefficient of variation (CV)2.0522713
Kurtosis13.519064
Mean238.23288
Median Absolute Deviation (MAD)21
Skewness3.3308935
Sum17391
Variance239041.29
MonotonicityNot monotonic
2024-04-17T21:45:45.888160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 5
 
4.9%
8 4
 
3.9%
6 4
 
3.9%
22 3
 
2.9%
9 3
 
2.9%
13 2
 
2.0%
7 2
 
2.0%
11 2
 
2.0%
30 2
 
2.0%
20 2
 
2.0%
Other values (41) 44
43.1%
(Missing) 29
28.4%
ValueCountFrequency (%)
5 5
4.9%
6 4
3.9%
7 2
 
2.0%
8 4
3.9%
9 3
2.9%
11 2
 
2.0%
12 2
 
2.0%
13 2
 
2.0%
14 1
 
1.0%
15 1
 
1.0%
ValueCountFrequency (%)
2937 1
1.0%
1746 1
1.0%
1514 1
1.0%
1132 1
1.0%
1104 1
1.0%
1081 1
1.0%
856 1
1.0%
795 1
1.0%
656 1
1.0%
649 1
1.0%

SUN_CNT
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)83.6%
Missing47
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean342.10909
Minimum5
Maximum3301
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:45.995441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.7
Q113.5
median49
Q3316
95-th percentile1771.9
Maximum3301
Range3296
Interquartile range (IQR)302.5

Descriptive statistics

Standard deviation647.00285
Coefficient of variation (CV)1.8912179
Kurtosis8.7395956
Mean342.10909
Median Absolute Deviation (MAD)39
Skewness2.8077639
Sum18816
Variance418612.69
MonotonicityNot monotonic
2024-04-17T21:45:46.100480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
11 3
 
2.9%
5 3
 
2.9%
6 3
 
2.9%
10 3
 
2.9%
14 2
 
2.0%
541 1
 
1.0%
42 1
 
1.0%
17 1
 
1.0%
23 1
 
1.0%
16 1
 
1.0%
Other values (36) 36
35.3%
(Missing) 47
46.1%
ValueCountFrequency (%)
5 3
2.9%
6 3
2.9%
10 3
2.9%
11 3
2.9%
12 1
 
1.0%
13 1
 
1.0%
14 2
2.0%
16 1
 
1.0%
17 1
 
1.0%
23 1
 
1.0%
ValueCountFrequency (%)
3301 1
1.0%
2261 1
1.0%
1893 1
1.0%
1720 1
1.0%
1159 1
1.0%
1025 1
1.0%
930 1
1.0%
873 1
1.0%
784 1
1.0%
696 1
1.0%

TIME0005_CNT
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)100.0%
Missing88
Missing (%)86.3%
Infinite0
Infinite (%)0.0%
Mean112.28571
Minimum5
Maximum524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:46.193005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.65
Q111
median38
Q3147.25
95-th percentile352.4
Maximum524
Range519
Interquartile range (IQR)136.25

Descriptive statistics

Standard deviation147.2154
Coefficient of variation (CV)1.3110786
Kurtosis4.0218616
Mean112.28571
Median Absolute Deviation (MAD)32.5
Skewness1.9188769
Sum1572
Variance21672.374
MonotonicityNot monotonic
2024-04-17T21:45:46.275707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
31 1
 
1.0%
10 1
 
1.0%
9 1
 
1.0%
152 1
 
1.0%
524 1
 
1.0%
45 1
 
1.0%
260 1
 
1.0%
5 1
 
1.0%
114 1
 
1.0%
6 1
 
1.0%
Other values (4) 4
 
3.9%
(Missing) 88
86.3%
ValueCountFrequency (%)
5 1
1.0%
6 1
1.0%
9 1
1.0%
10 1
1.0%
14 1
1.0%
28 1
1.0%
31 1
1.0%
45 1
1.0%
114 1
1.0%
133 1
1.0%
ValueCountFrequency (%)
524 1
1.0%
260 1
1.0%
241 1
1.0%
152 1
1.0%
133 1
1.0%
114 1
1.0%
45 1
1.0%
31 1
1.0%
28 1
1.0%
14 1
1.0%

TIME0610_CNT
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)75.8%
Missing40
Missing (%)39.2%
Infinite0
Infinite (%)0.0%
Mean266.1129
Minimum5
Maximum3178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:46.368867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q113
median26.5
Q3144.75
95-th percentile1491.55
Maximum3178
Range3173
Interquartile range (IQR)131.75

Descriptive statistics

Standard deviation585.84973
Coefficient of variation (CV)2.2015082
Kurtosis11.383547
Mean266.1129
Median Absolute Deviation (MAD)20
Skewness3.2059492
Sum16499
Variance343219.91
MonotonicityNot monotonic
2024-04-17T21:45:46.466194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5 5
 
4.9%
14 3
 
2.9%
6 3
 
2.9%
10 2
 
2.0%
15 2
 
2.0%
13 2
 
2.0%
26 2
 
2.0%
12 2
 
2.0%
20 2
 
2.0%
9 2
 
2.0%
Other values (37) 37
36.3%
(Missing) 40
39.2%
ValueCountFrequency (%)
5 5
4.9%
6 3
2.9%
7 1
 
1.0%
9 2
 
2.0%
10 2
 
2.0%
12 2
 
2.0%
13 2
 
2.0%
14 3
2.9%
15 2
 
2.0%
17 1
 
1.0%
ValueCountFrequency (%)
3178 1
1.0%
2255 1
1.0%
1545 1
1.0%
1499 1
1.0%
1350 1
1.0%
1077 1
1.0%
755 1
1.0%
749 1
1.0%
705 1
1.0%
654 1
1.0%

TIME1113_CNT
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)71.6%
Missing21
Missing (%)20.6%
Infinite0
Infinite (%)0.0%
Mean332.60494
Minimum5
Maximum6755
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:46.566552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q111
median36
Q3177
95-th percentile1575
Maximum6755
Range6750
Interquartile range (IQR)166

Descriptive statistics

Standard deviation885.95448
Coefficient of variation (CV)2.6636841
Kurtosis34.968872
Mean332.60494
Median Absolute Deviation (MAD)30
Skewness5.2974676
Sum26941
Variance784915.34
MonotonicityNot monotonic
2024-04-17T21:45:46.670006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 7
 
6.9%
5 5
 
4.9%
8 5
 
4.9%
30 3
 
2.9%
11 3
 
2.9%
12 2
 
2.0%
15 2
 
2.0%
20 2
 
2.0%
38 2
 
2.0%
7 2
 
2.0%
Other values (48) 48
47.1%
(Missing) 21
20.6%
ValueCountFrequency (%)
5 5
4.9%
6 7
6.9%
7 2
 
2.0%
8 5
4.9%
10 1
 
1.0%
11 3
2.9%
12 2
 
2.0%
15 2
 
2.0%
16 1
 
1.0%
18 1
 
1.0%
ValueCountFrequency (%)
6755 1
1.0%
2380 1
1.0%
1973 1
1.0%
1957 1
1.0%
1575 1
1.0%
1526 1
1.0%
1462 1
1.0%
1405 1
1.0%
1130 1
1.0%
730 1
1.0%

TIME1417_CNT
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)75.0%
Missing14
Missing (%)13.7%
Infinite0
Infinite (%)0.0%
Mean438.84091
Minimum5
Maximum7590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:46.774897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q112
median42
Q3171.75
95-th percentile2510.15
Maximum7590
Range7585
Interquartile range (IQR)159.75

Descriptive statistics

Standard deviation1084.8516
Coefficient of variation (CV)2.4720841
Kurtosis22.265667
Mean438.84091
Median Absolute Deviation (MAD)35
Skewness4.1978644
Sum38618
Variance1176903.1
MonotonicityNot monotonic
2024-04-17T21:45:46.877838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 7
 
6.9%
6 4
 
3.9%
25 3
 
2.9%
16 3
 
2.9%
12 3
 
2.9%
42 2
 
2.0%
7 2
 
2.0%
8 2
 
2.0%
11 2
 
2.0%
18 2
 
2.0%
Other values (56) 58
56.9%
(Missing) 14
 
13.7%
ValueCountFrequency (%)
5 7
6.9%
6 4
3.9%
7 2
 
2.0%
8 2
 
2.0%
9 1
 
1.0%
10 2
 
2.0%
11 2
 
2.0%
12 3
2.9%
13 1
 
1.0%
14 1
 
1.0%
ValueCountFrequency (%)
7590 1
1.0%
3461 1
1.0%
3308 1
1.0%
2682 1
1.0%
2535 1
1.0%
2464 1
1.0%
2369 1
1.0%
2135 1
1.0%
1440 1
1.0%
1215 1
1.0%

TIME1820_CNT
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)81.2%
Missing38
Missing (%)37.3%
Infinite0
Infinite (%)0.0%
Mean416.84375
Minimum5
Maximum3961
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:46.984506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q111
median41.5
Q3477
95-th percentile2158.45
Maximum3961
Range3956
Interquartile range (IQR)466

Descriptive statistics

Standard deviation819.28667
Coefficient of variation (CV)1.9654527
Kurtosis8.2924601
Mean416.84375
Median Absolute Deviation (MAD)34.5
Skewness2.8272647
Sum26678
Variance671230.64
MonotonicityNot monotonic
2024-04-17T21:45:47.095936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 3
 
2.9%
5 3
 
2.9%
6 3
 
2.9%
8 2
 
2.0%
9 2
 
2.0%
11 2
 
2.0%
17 2
 
2.0%
52 2
 
2.0%
10 2
 
2.0%
881 1
 
1.0%
Other values (42) 42
41.2%
(Missing) 38
37.3%
ValueCountFrequency (%)
5 3
2.9%
6 3
2.9%
7 3
2.9%
8 2
2.0%
9 2
2.0%
10 2
2.0%
11 2
2.0%
12 1
 
1.0%
13 1
 
1.0%
16 1
 
1.0%
ValueCountFrequency (%)
3961 1
1.0%
3474 1
1.0%
2821 1
1.0%
2263 1
1.0%
1566 1
1.0%
1479 1
1.0%
1343 1
1.0%
1025 1
1.0%
952 1
1.0%
881 1
1.0%

TIME2123_CNT
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)90.3%
Missing71
Missing (%)69.6%
Infinite0
Infinite (%)0.0%
Mean257.35484
Minimum5
Maximum1206
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:47.194299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q126
median111
Q3384
95-th percentile905.5
Maximum1206
Range1201
Interquartile range (IQR)358

Descriptive statistics

Standard deviation328.50404
Coefficient of variation (CV)1.2764634
Kurtosis1.3721335
Mean257.35484
Median Absolute Deviation (MAD)97
Skewness1.491015
Sum7978
Variance107914.9
MonotonicityNot monotonic
2024-04-17T21:45:47.285245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
5 3
 
2.9%
26 2
 
2.0%
560 1
 
1.0%
417 1
 
1.0%
258 1
 
1.0%
966 1
 
1.0%
17 1
 
1.0%
148 1
 
1.0%
35 1
 
1.0%
197 1
 
1.0%
Other values (18) 18
 
17.6%
(Missing) 71
69.6%
ValueCountFrequency (%)
5 3
2.9%
8 1
 
1.0%
14 1
 
1.0%
17 1
 
1.0%
20 1
 
1.0%
26 2
2.0%
35 1
 
1.0%
37 1
 
1.0%
42 1
 
1.0%
52 1
 
1.0%
ValueCountFrequency (%)
1206 1
1.0%
966 1
1.0%
845 1
1.0%
747 1
1.0%
728 1
1.0%
560 1
1.0%
469 1
1.0%
417 1
1.0%
351 1
1.0%
262 1
1.0%

AMT
Real number (ℝ)

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28343567
Minimum60200
Maximum3.5372453 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:47.385528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60200
5-th percentile288050
Q11651750
median4560500
Q322081850
95-th percentile1.8443498 × 108
Maximum3.5372453 × 108
Range3.5366433 × 108
Interquartile range (IQR)20430100

Descriptive statistics

Standard deviation65414255
Coefficient of variation (CV)2.3079048
Kurtosis13.086821
Mean28343567
Median Absolute Deviation (MAD)3825250
Skewness3.5845817
Sum2.8910439 × 109
Variance4.2790248 × 1015
MonotonicityNot monotonic
2024-04-17T21:45:47.492258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
365000 1
 
1.0%
578100 1
 
1.0%
4110000 1
 
1.0%
7108900 1
 
1.0%
56266138 1
 
1.0%
284000 1
 
1.0%
76299180 1
 
1.0%
329855515 1
 
1.0%
2123100 1
 
1.0%
26705210 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
60200 1
1.0%
109500 1
1.0%
140000 1
1.0%
230000 1
1.0%
247700 1
1.0%
284000 1
1.0%
365000 1
1.0%
440000 1
1.0%
450000 1
1.0%
512500 1
1.0%
ValueCountFrequency (%)
353724530 1
1.0%
329855515 1
1.0%
304547560 1
1.0%
209710245 1
1.0%
198873615 1
1.0%
185648840 1
1.0%
161371600 1
1.0%
76299180 1
1.0%
75680918 1
1.0%
73172310 1
1.0%

INDV_AMT
Real number (ℝ)

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28343567
Minimum60200
Maximum3.5372453 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:47.599683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60200
5-th percentile288050
Q11651750
median4560500
Q322081850
95-th percentile1.8443498 × 108
Maximum3.5372453 × 108
Range3.5366433 × 108
Interquartile range (IQR)20430100

Descriptive statistics

Standard deviation65414255
Coefficient of variation (CV)2.3079048
Kurtosis13.086821
Mean28343567
Median Absolute Deviation (MAD)3825250
Skewness3.5845817
Sum2.8910439 × 109
Variance4.2790248 × 1015
MonotonicityNot monotonic
2024-04-17T21:45:47.706571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
365000 1
 
1.0%
578100 1
 
1.0%
4110000 1
 
1.0%
7108900 1
 
1.0%
56266138 1
 
1.0%
284000 1
 
1.0%
76299180 1
 
1.0%
329855515 1
 
1.0%
2123100 1
 
1.0%
26705210 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
60200 1
1.0%
109500 1
1.0%
140000 1
1.0%
230000 1
1.0%
247700 1
1.0%
284000 1
1.0%
365000 1
1.0%
440000 1
1.0%
450000 1
1.0%
512500 1
1.0%
ValueCountFrequency (%)
353724530 1
1.0%
329855515 1
1.0%
304547560 1
1.0%
209710245 1
1.0%
198873615 1
1.0%
185648840 1
1.0%
161371600 1
1.0%
76299180 1
1.0%
75680918 1
1.0%
73172310 1
1.0%

CP_AMT
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
0
102 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 102
100.0%

Length

2024-04-17T21:45:48.039749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:45:48.105000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 102
100.0%

MALE_AMT
Real number (ℝ)

UNIQUE 

Distinct102
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19482170
Minimum17400
Maximum2.8899986 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:48.189762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17400
5-th percentile206125
Q11047000
median3296700
Q312881650
95-th percentile1.0567836 × 108
Maximum2.8899986 × 108
Range2.8898246 × 108
Interquartile range (IQR)11834650

Descriptive statistics

Standard deviation47407234
Coefficient of variation (CV)2.4333651
Kurtosis18.310366
Mean19482170
Median Absolute Deviation (MAD)2865450
Skewness4.1044601
Sum1.9871814 × 109
Variance2.2474459 × 1015
MonotonicityNot monotonic
2024-04-17T21:45:48.303255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
195000 1
 
1.0%
334000 1
 
1.0%
930000 1
 
1.0%
3480000 1
 
1.0%
45444018 1
 
1.0%
206000 1
 
1.0%
42596850 1
 
1.0%
288999855 1
 
1.0%
1777600 1
 
1.0%
20465240 1
 
1.0%
Other values (92) 92
90.2%
ValueCountFrequency (%)
17400 1
1.0%
64000 1
1.0%
140000 1
1.0%
182700 1
1.0%
195000 1
1.0%
206000 1
1.0%
208500 1
1.0%
225000 1
1.0%
256000 1
1.0%
334000 1
1.0%
ValueCountFrequency (%)
288999855 1
1.0%
268594010 1
1.0%
176455535 1
1.0%
157359280 1
1.0%
118074875 1
1.0%
106313910 1
1.0%
93602978 1
1.0%
59789180 1
1.0%
45444018 1
1.0%
44660450 1
1.0%

FEMALE_AMT
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8861397
Minimum0
Maximum1.4718828 × 108
Zeros3
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:48.444723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile30712.5
Q1326875
median1407005
Q36153227.5
95-th percentile40497993
Maximum1.4718828 × 108
Range1.4718828 × 108
Interquartile range (IQR)5826352.5

Descriptive statistics

Standard deviation21786023
Coefficient of variation (CV)2.4585314
Kurtosis19.565746
Mean8861397
Median Absolute Deviation (MAD)1293155
Skewness4.1475035
Sum9.038625 × 108
Variance4.7463079 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:48.588229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
2.9%
170000 1
 
1.0%
1500660 1
 
1.0%
10822120 1
 
1.0%
78000 1
 
1.0%
33702330 1
 
1.0%
40855660 1
 
1.0%
345500 1
 
1.0%
6239970 1
 
1.0%
123420 1
 
1.0%
Other values (90) 90
88.2%
ValueCountFrequency (%)
0 3
2.9%
5000 1
 
1.0%
30000 1
 
1.0%
30250 1
 
1.0%
39500 1
 
1.0%
42800 1
 
1.0%
45500 1
 
1.0%
60000 1
 
1.0%
65000 1
 
1.0%
73000 1
 
1.0%
ValueCountFrequency (%)
147188280 1
1.0%
91635370 1
1.0%
85130520 1
1.0%
79334930 1
1.0%
67768622 1
1.0%
40855660 1
1.0%
33702330 1
1.0%
31020468 1
1.0%
26959380 1
1.0%
22418080 1
1.0%

AGE09_AMT
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size948.0 B
0
102 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 102
100.0%

Length

2024-04-17T21:45:48.714616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T21:45:48.801327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 102
100.0%

AGE10_AMT
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)29.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64385.49
Minimum0
Maximum2510340
Zeros73
Zeros (%)71.6%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:48.892774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q317150
95-th percentile242220
Maximum2510340
Range2510340
Interquartile range (IQR)17150

Descriptive statistics

Standard deviation271228.36
Coefficient of variation (CV)4.2125696
Kurtosis67.21793
Mean64385.49
Median Absolute Deviation (MAD)0
Skewness7.725761
Sum6567320
Variance7.3564823 × 1010
MonotonicityNot monotonic
2024-04-17T21:45:48.998226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 73
71.6%
80000 1
 
1.0%
134910 1
 
1.0%
9700 1
 
1.0%
22000 1
 
1.0%
318700 1
 
1.0%
6100 1
 
1.0%
40490 1
 
1.0%
150000 1
 
1.0%
33500 1
 
1.0%
Other values (20) 20
 
19.6%
ValueCountFrequency (%)
0 73
71.6%
6100 1
 
1.0%
9700 1
 
1.0%
14600 1
 
1.0%
18000 1
 
1.0%
19000 1
 
1.0%
20000 1
 
1.0%
22000 1
 
1.0%
25000 1
 
1.0%
33500 1
 
1.0%
ValueCountFrequency (%)
2510340 1
1.0%
739200 1
1.0%
736500 1
1.0%
318700 1
1.0%
274580 1
1.0%
244300 1
1.0%
202700 1
1.0%
198000 1
1.0%
185200 1
1.0%
150000 1
1.0%

AGE20_AMT
Real number (ℝ)

ZEROS 

Distinct82
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2388250.4
Minimum0
Maximum40937685
Zeros20
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:49.107895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q121250
median272000
Q31650500
95-th percentile12767219
Maximum40937685
Range40937685
Interquartile range (IQR)1629250

Descriptive statistics

Standard deviation6099701.4
Coefficient of variation (CV)2.554046
Kurtosis22.931737
Mean2388250.4
Median Absolute Deviation (MAD)272000
Skewness4.4712763
Sum2.4360154 × 108
Variance3.7206357 × 1013
MonotonicityNot monotonic
2024-04-17T21:45:49.211002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
19.6%
25000 2
 
2.0%
95000 1
 
1.0%
546000 1
 
1.0%
6127125 1
 
1.0%
788500 1
 
1.0%
2266680 1
 
1.0%
45100 1
 
1.0%
39000 1
 
1.0%
14000 1
 
1.0%
Other values (72) 72
70.6%
ValueCountFrequency (%)
0 20
19.6%
1000 1
 
1.0%
2000 1
 
1.0%
7700 1
 
1.0%
14000 1
 
1.0%
19000 1
 
1.0%
20000 1
 
1.0%
25000 2
 
2.0%
30000 1
 
1.0%
36000 1
 
1.0%
ValueCountFrequency (%)
40937685 1
1.0%
34603720 1
1.0%
18081700 1
1.0%
16746375 1
1.0%
14494510 1
1.0%
12950000 1
1.0%
9294373 1
1.0%
7507340 1
1.0%
7136938 1
1.0%
6127125 1
1.0%

AGE30_AMT
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6198150.5
Minimum0
Maximum64238910
Zeros9
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:49.312190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1104500
median804950
Q35768325
95-th percentile28624536
Maximum64238910
Range64238910
Interquartile range (IQR)5663825

Descriptive statistics

Standard deviation13083080
Coefficient of variation (CV)2.1108038
Kurtosis9.3317714
Mean6198150.5
Median Absolute Deviation (MAD)768685
Skewness3.0493228
Sum6.3221135 × 108
Variance1.7116698 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:49.414949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
8.8%
768000 2
 
2.0%
1301000 1
 
1.0%
13206540 1
 
1.0%
22813350 1
 
1.0%
228000 1
 
1.0%
5851820 1
 
1.0%
192410 1
 
1.0%
14500 1
 
1.0%
124000 1
 
1.0%
Other values (83) 83
81.4%
ValueCountFrequency (%)
0 9
8.8%
4000 1
 
1.0%
14500 1
 
1.0%
15800 1
 
1.0%
26000 1
 
1.0%
34100 1
 
1.0%
38430 1
 
1.0%
39600 1
 
1.0%
57200 1
 
1.0%
65000 1
 
1.0%
ValueCountFrequency (%)
64238910 1
1.0%
58666940 1
1.0%
56472680 1
1.0%
55168510 1
1.0%
47419348 1
1.0%
28876000 1
1.0%
23846718 1
1.0%
22813350 1
1.0%
21356360 1
1.0%
21124320 1
1.0%

AGE40_AMT
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7354885.3
Minimum0
Maximum1.055295 × 108
Zeros2
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:49.526149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41960
Q1393220
median1353700
Q35327125
95-th percentile37878866
Maximum1.055295 × 108
Range1.055295 × 108
Interquartile range (IQR)4933905

Descriptive statistics

Standard deviation16294743
Coefficient of variation (CV)2.2154993
Kurtosis16.618009
Mean7354885.3
Median Absolute Deviation (MAD)1213700
Skewness3.8047667
Sum7.501983 × 108
Variance2.6551865 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:49.663544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000 3
 
2.9%
140000 2
 
2.0%
0 2
 
2.0%
48000 1
 
1.0%
1648800 1
 
1.0%
22926538 1
 
1.0%
103000 1
 
1.0%
24432620 1
 
1.0%
38467335 1
 
1.0%
743600 1
 
1.0%
Other values (88) 88
86.3%
ValueCountFrequency (%)
0 2
2.0%
2400 1
 
1.0%
18700 1
 
1.0%
33000 1
 
1.0%
41800 1
 
1.0%
45000 1
 
1.0%
48000 1
 
1.0%
50000 3
2.9%
84000 1
 
1.0%
100000 1
 
1.0%
ValueCountFrequency (%)
105529500 1
1.0%
74982215 1
1.0%
61256330 1
1.0%
58158920 1
1.0%
43945866 1
1.0%
38467335 1
1.0%
26697948 1
1.0%
25809840 1
1.0%
24432620 1
1.0%
22926538 1
1.0%

AGE50_AMT
Real number (ℝ)

ZEROS 

Distinct100
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6188400
Minimum0
Maximum86937480
Zeros3
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:49.775071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18450
Q1313025
median1043500
Q34450887.5
95-th percentile30659428
Maximum86937480
Range86937480
Interquartile range (IQR)4137862.5

Descriptive statistics

Standard deviation15822133
Coefficient of variation (CV)2.5567405
Kurtosis17.171909
Mean6188400
Median Absolute Deviation (MAD)959450
Skewness4.0913175
Sum6.312168 × 108
Variance2.5033988 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:49.876053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
2.9%
60000 1
 
1.0%
4466750 1
 
1.0%
10548260 1
 
1.0%
46000 1
 
1.0%
20858030 1
 
1.0%
86366140 1
 
1.0%
321000 1
 
1.0%
6909890 1
 
1.0%
149800 1
 
1.0%
Other values (90) 90
88.2%
ValueCountFrequency (%)
0 3
2.9%
8000 1
 
1.0%
17000 1
 
1.0%
18000 1
 
1.0%
27000 1
 
1.0%
31000 1
 
1.0%
46000 1
 
1.0%
60000 1
 
1.0%
61700 1
 
1.0%
80100 1
 
1.0%
ValueCountFrequency (%)
86937480 1
1.0%
86366140 1
1.0%
80238505 1
1.0%
54458855 1
1.0%
36382470 1
1.0%
30834530 1
1.0%
27332484 1
1.0%
20858030 1
1.0%
14550110 1
1.0%
13423520 1
1.0%

AGE60_AMT
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4100494.9
Minimum0
Maximum88996300
Zeros15
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:49.978469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q199250
median532500
Q31668190.5
95-th percentile12240945
Maximum88996300
Range88996300
Interquartile range (IQR)1568940.5

Descriptive statistics

Standard deviation14054731
Coefficient of variation (CV)3.4275694
Kurtosis27.407303
Mean4100494.9
Median Absolute Deviation (MAD)520750
Skewness5.1868737
Sum4.1825048 × 108
Variance1.9753547 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:50.078362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 15
 
14.7%
150000 2
 
2.0%
307450 1
 
1.0%
58900 1
 
1.0%
1073600 1
 
1.0%
2594920 1
 
1.0%
68000 1
 
1.0%
12293920 1
 
1.0%
88996300 1
 
1.0%
42000 1
 
1.0%
Other values (77) 77
75.5%
ValueCountFrequency (%)
0 15
14.7%
20000 1
 
1.0%
22000 1
 
1.0%
22500 1
 
1.0%
30000 1
 
1.0%
42000 1
 
1.0%
50000 1
 
1.0%
58900 1
 
1.0%
60000 1
 
1.0%
68000 1
 
1.0%
ValueCountFrequency (%)
88996300 1
1.0%
86591270 1
1.0%
65760400 1
1.0%
30788140 1
1.0%
17065380 1
1.0%
12293920 1
1.0%
11234420 1
1.0%
8582000 1
1.0%
8412350 1
1.0%
7436982 1
1.0%

AGE70_AMT
Real number (ℝ)

ZEROS 

Distinct69
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2049000.8
Minimum0
Maximum86935265
Zeros30
Zeros (%)29.4%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:50.178862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median77150
Q3427010
95-th percentile3513709.5
Maximum86935265
Range86935265
Interquartile range (IQR)427010

Descriptive statistics

Standard deviation10145443
Coefficient of variation (CV)4.9514099
Kurtosis52.432018
Mean2049000.8
Median Absolute Deviation (MAD)77150
Skewness6.9504529
Sum2.0899808 × 108
Variance1.0293002 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:50.286739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
29.4%
310000 2
 
2.0%
130000 2
 
2.0%
6000 2
 
2.0%
40000 2
 
2.0%
121440 1
 
1.0%
455000 1
 
1.0%
125340 1
 
1.0%
3268410 1
 
1.0%
86935265 1
 
1.0%
Other values (59) 59
57.8%
ValueCountFrequency (%)
0 30
29.4%
2000 1
 
1.0%
4300 1
 
1.0%
6000 2
 
2.0%
10000 1
 
1.0%
19000 1
 
1.0%
23000 1
 
1.0%
25000 1
 
1.0%
26000 1
 
1.0%
36000 1
 
1.0%
ValueCountFrequency (%)
86935265 1
1.0%
39997655 1
1.0%
39602220 1
1.0%
5050000 1
1.0%
4518800 1
1.0%
3526620 1
1.0%
3268410 1
1.0%
2800300 1
1.0%
1767000 1
1.0%
1582500 1
1.0%

MON_AMT
Real number (ℝ)

ZEROS 

Distinct98
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4604677.7
Minimum0
Maximum73034115
Zeros5
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:50.383457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11055
Q1184447.5
median810025
Q33144750
95-th percentile27787793
Maximum73034115
Range73034115
Interquartile range (IQR)2960302.5

Descriptive statistics

Standard deviation11172399
Coefficient of variation (CV)2.4263152
Kurtosis18.7892
Mean4604677.7
Median Absolute Deviation (MAD)736025
Skewness4.0912783
Sum4.6967712 × 108
Variance1.2482251 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:50.489660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
4.9%
35000 1
 
1.0%
370000 1
 
1.0%
1413000 1
 
1.0%
1139900 1
 
1.0%
8915380 1
 
1.0%
11631080 1
 
1.0%
73034115 1
 
1.0%
196500 1
 
1.0%
3400180 1
 
1.0%
Other values (88) 88
86.3%
ValueCountFrequency (%)
0 5
4.9%
10900 1
 
1.0%
14000 1
 
1.0%
24800 1
 
1.0%
35000 1
 
1.0%
37500 1
 
1.0%
40000 1
 
1.0%
42350 1
 
1.0%
45000 1
 
1.0%
50000 1
 
1.0%
ValueCountFrequency (%)
73034115 1
1.0%
56312550 1
1.0%
39591380 1
1.0%
37068940 1
1.0%
28465540 1
1.0%
28085140 1
1.0%
22138208 1
1.0%
13216000 1
1.0%
13168810 1
1.0%
11702780 1
1.0%

TUE_AMT
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4194684
Minimum0
Maximum59914225
Zeros7
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:50.606821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1147800
median766300
Q33670118.5
95-th percentile23253257
Maximum59914225
Range59914225
Interquartile range (IQR)3522318.5

Descriptive statistics

Standard deviation9488478.9
Coefficient of variation (CV)2.2620247
Kurtosis17.091354
Mean4194684
Median Absolute Deviation (MAD)722550
Skewness3.8970347
Sum4.2785776 × 108
Variance9.0031231 × 1013
MonotonicityNot monotonic
2024-04-17T21:45:50.712789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
6.9%
60000 2
 
2.0%
295770 1
 
1.0%
484700 1
 
1.0%
465000 1
 
1.0%
2035100 1
 
1.0%
8081960 1
 
1.0%
13000 1
 
1.0%
11415280 1
 
1.0%
59914225 1
 
1.0%
Other values (85) 85
83.3%
ValueCountFrequency (%)
0 7
6.9%
3500 1
 
1.0%
10000 1
 
1.0%
13000 1
 
1.0%
15500 1
 
1.0%
26000 1
 
1.0%
30000 1
 
1.0%
38500 1
 
1.0%
49000 1
 
1.0%
54800 1
 
1.0%
ValueCountFrequency (%)
59914225 1
1.0%
49867210 1
1.0%
32780730 1
1.0%
29102350 1
1.0%
27094080 1
1.0%
23356030 1
1.0%
21300566 1
1.0%
13784670 1
1.0%
11563860 1
1.0%
11415280 1
1.0%

WED_AMT
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3500581.1
Minimum0
Maximum57838260
Zeros9
Zeros (%)8.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:50.815953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1118100
median551250
Q32578500
95-th percentile19480113
Maximum57838260
Range57838260
Interquartile range (IQR)2460400

Descriptive statistics

Standard deviation8606800.8
Coefficient of variation (CV)2.4586777
Kurtosis19.733533
Mean3500581.1
Median Absolute Deviation (MAD)510200
Skewness4.1688527
Sum3.5705927 × 108
Variance7.407702 × 1013
MonotonicityNot monotonic
2024-04-17T21:45:50.921570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
8.8%
80000 2
 
2.0%
75000 1
 
1.0%
1984220 1
 
1.0%
10001520 1
 
1.0%
8008090 1
 
1.0%
39876190 1
 
1.0%
125600 1
 
1.0%
3031260 1
 
1.0%
205150 1
 
1.0%
Other values (83) 83
81.4%
ValueCountFrequency (%)
0 9
8.8%
2400 1
 
1.0%
15000 1
 
1.0%
20000 1
 
1.0%
31000 1
 
1.0%
34100 1
 
1.0%
48000 1
 
1.0%
50000 1
 
1.0%
60000 1
 
1.0%
70400 1
 
1.0%
ValueCountFrequency (%)
57838260 1
1.0%
39876190 1
1.0%
34354905 1
1.0%
26014560 1
1.0%
24167760 1
1.0%
19670680 1
1.0%
15859340 1
1.0%
10646170 1
1.0%
10001520 1
1.0%
9971880 1
1.0%

THU_AMT
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3388244.4
Minimum0
Maximum51872780
Zeros8
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:51.260609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1181500
median603540
Q32560732.5
95-th percentile18585871
Maximum51872780
Range51872780
Interquartile range (IQR)2379232.5

Descriptive statistics

Standard deviation8307599.1
Coefficient of variation (CV)2.451889
Kurtosis19.728515
Mean3388244.4
Median Absolute Deviation (MAD)584790
Skewness4.2159151
Sum3.4560093 × 108
Variance6.9016203 × 1013
MonotonicityNot monotonic
2024-04-17T21:45:51.370973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
7.8%
25000 1
 
1.0%
17653746 1
 
1.0%
731200 1
 
1.0%
4934518 1
 
1.0%
8075290 1
 
1.0%
51872780 1
 
1.0%
63000 1
 
1.0%
2584510 1
 
1.0%
193710 1
 
1.0%
Other values (85) 85
83.3%
ValueCountFrequency (%)
0 8
7.8%
9900 1
 
1.0%
15000 1
 
1.0%
15500 1
 
1.0%
17600 1
 
1.0%
18500 1
 
1.0%
19000 1
 
1.0%
25000 1
 
1.0%
27000 1
 
1.0%
56000 1
 
1.0%
ValueCountFrequency (%)
51872780 1
1.0%
48355655 1
1.0%
26092130 1
1.0%
24685965 1
1.0%
23102240 1
1.0%
18634930 1
1.0%
17653746 1
1.0%
10941700 1
1.0%
10153420 1
1.0%
8075290 1
1.0%

FRI_AMT
Real number (ℝ)

ZEROS 

Distinct95
Distinct (%)93.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4047668.5
Minimum0
Maximum61975275
Zeros6
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:51.477163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile500
Q1176360
median651825
Q32841650
95-th percentile20922507
Maximum61975275
Range61975275
Interquartile range (IQR)2665290

Descriptive statistics

Standard deviation9446088.1
Coefficient of variation (CV)2.3337109
Kurtosis19.268158
Mean4047668.5
Median Absolute Deviation (MAD)597325
Skewness4.1074326
Sum4.1286219 × 108
Variance8.9228581 × 1013
MonotonicityNot monotonic
2024-04-17T21:45:51.583711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.9%
10000 2
 
2.0%
20000 2
 
2.0%
914000 1
 
1.0%
8761100 1
 
1.0%
10380100 1
 
1.0%
49648145 1
 
1.0%
233500 1
 
1.0%
3712290 1
 
1.0%
171380 1
 
1.0%
Other values (85) 85
83.3%
ValueCountFrequency (%)
0 6
5.9%
10000 2
 
2.0%
15900 1
 
1.0%
20000 2
 
2.0%
45000 1
 
1.0%
50000 1
 
1.0%
54000 1
 
1.0%
55000 1
 
1.0%
56000 1
 
1.0%
78000 1
 
1.0%
ValueCountFrequency (%)
61975275 1
1.0%
49648145 1
1.0%
30331470 1
1.0%
29349990 1
1.0%
28136600 1
1.0%
21129260 1
1.0%
16994210 1
1.0%
10560000 1
1.0%
10380100 1
1.0%
10248960 1
1.0%

SAT_AMT
Real number (ℝ)

ZEROS 

Distinct93
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4362907.4
Minimum0
Maximum67695980
Zeros10
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:51.689221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1110465
median572780
Q33627750
95-th percentile27919172
Maximum67695980
Range67695980
Interquartile range (IQR)3517285

Descriptive statistics

Standard deviation9793831.8
Coefficient of variation (CV)2.2447948
Kurtosis19.069175
Mean4362907.4
Median Absolute Deviation (MAD)572780
Skewness3.9661086
Sum4.4501656 × 108
Variance9.5919142 × 1013
MonotonicityNot monotonic
2024-04-17T21:45:51.802562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 10
 
9.8%
125000 1
 
1.0%
11909120 1
 
1.0%
12521850 1
 
1.0%
29177845 1
 
1.0%
531000 1
 
1.0%
5554630 1
 
1.0%
109120 1
 
1.0%
28000 1
 
1.0%
104000 1
 
1.0%
Other values (83) 83
81.4%
ValueCountFrequency (%)
0 10
9.8%
15000 1
 
1.0%
18000 1
 
1.0%
28000 1
 
1.0%
29000 1
 
1.0%
30000 1
 
1.0%
35000 1
 
1.0%
38000 1
 
1.0%
48700 1
 
1.0%
55000 1
 
1.0%
ValueCountFrequency (%)
67695980 1
1.0%
37301930 1
1.0%
32989770 1
1.0%
31326330 1
1.0%
29177845 1
1.0%
28025640 1
1.0%
25896290 1
1.0%
12521850 1
1.0%
11909120 1
1.0%
11449050 1
1.0%

SUN_AMT
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4244804.4
Minimum0
Maximum97281960
Zeros26
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:51.917145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12250
median240500
Q32055740
95-th percentile25761167
Maximum97281960
Range97281960
Interquartile range (IQR)2053490

Descriptive statistics

Standard deviation12500639
Coefficient of variation (CV)2.944927
Kurtosis32.266642
Mean4244804.4
Median Absolute Deviation (MAD)240500
Skewness5.1775156
Sum4.3297005 × 108
Variance1.5626598 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:52.029050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 26
 
25.5%
170000 2
 
2.0%
35000 2
 
2.0%
95000 1
 
1.0%
748200 1
 
1.0%
5169810 1
 
1.0%
52800 1
 
1.0%
21500 1
 
1.0%
233000 1
 
1.0%
361000 1
 
1.0%
Other values (65) 65
63.7%
ValueCountFrequency (%)
0 26
25.5%
9000 1
 
1.0%
16500 1
 
1.0%
20000 1
 
1.0%
21500 1
 
1.0%
30000 1
 
1.0%
35000 2
 
2.0%
52800 1
 
1.0%
80000 1
 
1.0%
89100 1
 
1.0%
ValueCountFrequency (%)
97281960 1
1.0%
45918080 1
1.0%
42073650 1
1.0%
35680965 1
1.0%
35264840 1
1.0%
26332215 1
1.0%
14911255 1
1.0%
14267490 1
1.0%
9640390 1
1.0%
9186796 1
1.0%

TIME0005_AMT
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean163284.8
Minimum0
Maximum2874000
Zeros81
Zeros (%)79.4%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:52.119744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1190940
Maximum2874000
Range2874000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation482085.79
Coefficient of variation (CV)2.9524229
Kurtosis14.65956
Mean163284.8
Median Absolute Deviation (MAD)0
Skewness3.6987726
Sum16655050
Variance2.3240671 × 1011
MonotonicityNot monotonic
2024-04-17T21:45:52.210538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 81
79.4%
126000 1
 
1.0%
2331020 1
 
1.0%
23100 1
 
1.0%
630700 1
 
1.0%
1420900 1
 
1.0%
97800 1
 
1.0%
444500 1
 
1.0%
938270 1
 
1.0%
105000 1
 
1.0%
Other values (12) 12
 
11.8%
ValueCountFrequency (%)
0 81
79.4%
20000 1
 
1.0%
23100 1
 
1.0%
97800 1
 
1.0%
105000 1
 
1.0%
111000 1
 
1.0%
126000 1
 
1.0%
186900 1
 
1.0%
250000 1
 
1.0%
365260 1
 
1.0%
ValueCountFrequency (%)
2874000 1
1.0%
2331020 1
1.0%
1835000 1
1.0%
1428700 1
1.0%
1420900 1
1.0%
1204200 1
1.0%
939000 1
1.0%
938270 1
1.0%
893700 1
1.0%
630700 1
1.0%

TIME0610_AMT
Real number (ℝ)

ZEROS 

Distinct88
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4302557.2
Minimum0
Maximum99533465
Zeros13
Zeros (%)12.7%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:52.322064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q147000
median454250
Q31680467.5
95-th percentile17115868
Maximum99533465
Range99533465
Interquartile range (IQR)1633467.5

Descriptive statistics

Standard deviation14190895
Coefficient of variation (CV)3.2982466
Kurtosis33.644306
Mean4302557.2
Median Absolute Deviation (MAD)448500
Skewness5.6158327
Sum4.3886084 × 108
Variance2.013815 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:52.430337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13
 
12.7%
15000 2
 
2.0%
40000 2
 
2.0%
20000 1
 
1.0%
930000 1
 
1.0%
2080500 1
 
1.0%
15897360 1
 
1.0%
7712430 1
 
1.0%
99533465 1
 
1.0%
1500 1
 
1.0%
Other values (78) 78
76.5%
ValueCountFrequency (%)
0 13
12.7%
1500 1
 
1.0%
10000 1
 
1.0%
14000 1
 
1.0%
15000 2
 
2.0%
16000 1
 
1.0%
20000 1
 
1.0%
24400 1
 
1.0%
39000 1
 
1.0%
40000 2
 
2.0%
ValueCountFrequency (%)
99533465 1
1.0%
91119160 1
1.0%
44248380 1
1.0%
20750590 1
1.0%
19062560 1
1.0%
17180000 1
1.0%
15897360 1
1.0%
11632420 1
1.0%
9910310 1
1.0%
8460970 1
1.0%

TIME1113_AMT
Real number (ℝ)

ZEROS 

Distinct99
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6688049.9
Minimum0
Maximum95112355
Zeros4
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:52.534504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile16250
Q1197375
median806140
Q33256500
95-th percentile44017981
Maximum95112355
Range95112355
Interquartile range (IQR)3059125

Descriptive statistics

Standard deviation17494084
Coefficient of variation (CV)2.6157226
Kurtosis14.920755
Mean6688049.9
Median Absolute Deviation (MAD)777640
Skewness3.8502307
Sum6.8218109 × 108
Variance3.0604296 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:52.637808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
3.9%
165000 1
 
1.0%
27000 1
 
1.0%
426100 1
 
1.0%
372000 1
 
1.0%
2142600 1
 
1.0%
13950900 1
 
1.0%
68000 1
 
1.0%
14451430 1
 
1.0%
95112355 1
 
1.0%
Other values (89) 89
87.3%
ValueCountFrequency (%)
0 4
3.9%
8500 1
 
1.0%
16000 1
 
1.0%
21000 1
 
1.0%
27000 1
 
1.0%
30000 1
 
1.0%
49000 1
 
1.0%
54000 1
 
1.0%
64000 1
 
1.0%
68000 1
 
1.0%
ValueCountFrequency (%)
95112355 1
1.0%
93095360 1
1.0%
78515735 1
1.0%
61393390 1
1.0%
55111020 1
1.0%
44644680 1
1.0%
32110700 1
1.0%
14736640 1
1.0%
14451430 1
1.0%
13950900 1
1.0%

TIME1417_AMT
Real number (ℝ)

ZEROS 

Distinct97
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10048791
Minimum0
Maximum1.5963878 × 108
Zeros6
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:52.738820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1365
Q1335925
median1646150
Q35549875
95-th percentile68567827
Maximum1.5963878 × 108
Range1.5963878 × 108
Interquartile range (IQR)5213950

Descriptive statistics

Standard deviation25631585
Coefficient of variation (CV)2.5507133
Kurtosis17.8606
Mean10048791
Median Absolute Deviation (MAD)1443890
Skewness4.0843399
Sum1.0249767 × 109
Variance6.5697816 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:52.851485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
5.9%
125000 1
 
1.0%
330500 1
 
1.0%
2343000 1
 
1.0%
2416200 1
 
1.0%
19671878 1
 
1.0%
74000 1
 
1.0%
30003070 1
 
1.0%
104922280 1
 
1.0%
445000 1
 
1.0%
Other values (87) 87
85.3%
ValueCountFrequency (%)
0 6
5.9%
27300 1
 
1.0%
40000 1
 
1.0%
49500 1
 
1.0%
74000 1
 
1.0%
100000 1
 
1.0%
125000 1
 
1.0%
141800 1
 
1.0%
162000 1
 
1.0%
164000 1
 
1.0%
ValueCountFrequency (%)
159638780 1
1.0%
133298835 1
1.0%
104922280 1
1.0%
74077505 1
1.0%
73636790 1
1.0%
69781365 1
1.0%
45510600 1
1.0%
30003070 1
1.0%
23875820 1
1.0%
19671878 1
1.0%

TIME1820_AMT
Real number (ℝ)

ZEROS 

Distinct83
Distinct (%)81.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5514274.8
Minimum0
Maximum56192470
Zeros19
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:52.957136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182775
median489085
Q33355515
95-th percentile30027380
Maximum56192470
Range56192470
Interquartile range (IQR)3272740

Descriptive statistics

Standard deviation11992685
Coefficient of variation (CV)2.1748435
Kurtosis8.5411034
Mean5514274.8
Median Absolute Deviation (MAD)489085
Skewness2.9606371
Sum5.6245602 × 108
Variance1.4382449 × 1014
MonotonicityNot monotonic
2024-04-17T21:45:53.059736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
18.6%
150000 2
 
2.0%
75000 1
 
1.0%
97900 1
 
1.0%
33000 1
 
1.0%
69000 1
 
1.0%
597000 1
 
1.0%
63000 1
 
1.0%
110000 1
 
1.0%
2437500 1
 
1.0%
Other values (73) 73
71.6%
ValueCountFrequency (%)
0 19
18.6%
6000 1
 
1.0%
33000 1
 
1.0%
63000 1
 
1.0%
67100 1
 
1.0%
69000 1
 
1.0%
75000 1
 
1.0%
82500 1
 
1.0%
83600 1
 
1.0%
89900 1
 
1.0%
ValueCountFrequency (%)
56192470 1
1.0%
53752200 1
1.0%
50730800 1
1.0%
47830880 1
1.0%
46155700 1
1.0%
30287415 1
1.0%
25086710 1
1.0%
21716430 1
1.0%
21059890 1
1.0%
17497200 1
1.0%

TIME2123_AMT
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)46.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1626609.5
Minimum0
Maximum20016500
Zeros56
Zeros (%)54.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:53.163289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3809925
95-th percentile10156176
Maximum20016500
Range20016500
Interquartile range (IQR)809925

Descriptive statistics

Standard deviation3745031.8
Coefficient of variation (CV)2.3023546
Kurtosis9.1587381
Mean1626609.5
Median Absolute Deviation (MAD)0
Skewness2.9473747
Sum1.6591416 × 108
Variance1.4025263 × 1013
MonotonicityNot monotonic
2024-04-17T21:45:53.281147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 56
54.9%
994260 1
 
1.0%
7520000 1
 
1.0%
950000 1
 
1.0%
7984030 1
 
1.0%
18700 1
 
1.0%
1048300 1
 
1.0%
957500 1
 
1.0%
579000 1
 
1.0%
325000 1
 
1.0%
Other values (37) 37
36.3%
ValueCountFrequency (%)
0 56
54.9%
9900 1
 
1.0%
10000 1
 
1.0%
13000 1
 
1.0%
18700 1
 
1.0%
20000 1
 
1.0%
30000 1
 
1.0%
60000 1
 
1.0%
65000 1
 
1.0%
107000 1
 
1.0%
ValueCountFrequency (%)
20016500 1
1.0%
16944780 1
1.0%
15176000 1
1.0%
10735500 1
1.0%
10615000 1
1.0%
10270500 1
1.0%
7984030 1
1.0%
7699400 1
1.0%
7520000 1
1.0%
7277900 1
1.0%

CST
Real number (ℝ)

Distinct80
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean521.48039
Minimum5
Maximum10835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:53.392764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q117
median70.5
Q3281.25
95-th percentile2378.25
Maximum10835
Range10830
Interquartile range (IQR)264.25

Descriptive statistics

Standard deviation1401.4939
Coefficient of variation (CV)2.6875295
Kurtosis30.708171
Mean521.48039
Median Absolute Deviation (MAD)59.5
Skewness5.0078394
Sum53191
Variance1964185.3
MonotonicityNot monotonic
2024-04-17T21:45:53.509306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 5
 
4.9%
14 4
 
3.9%
11 3
 
2.9%
6 3
 
2.9%
20 3
 
2.9%
107 2
 
2.0%
87 2
 
2.0%
10 2
 
2.0%
25 2
 
2.0%
24 2
 
2.0%
Other values (70) 74
72.5%
ValueCountFrequency (%)
5 2
 
2.0%
6 3
2.9%
8 5
4.9%
9 1
 
1.0%
10 2
 
2.0%
11 3
2.9%
12 1
 
1.0%
13 1
 
1.0%
14 4
3.9%
15 1
 
1.0%
ValueCountFrequency (%)
10835 1
1.0%
4968 1
1.0%
4774 1
1.0%
4336 1
1.0%
3964 1
1.0%
2402 1
1.0%
1927 1
1.0%
1901 1
1.0%
1575 1
1.0%
1321 1
1.0%

INDV_CST
Real number (ℝ)

Distinct80
Distinct (%)78.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean521.48039
Minimum5
Maximum10835
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:53.628890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile8
Q117
median70.5
Q3281.25
95-th percentile2378.25
Maximum10835
Range10830
Interquartile range (IQR)264.25

Descriptive statistics

Standard deviation1401.4939
Coefficient of variation (CV)2.6875295
Kurtosis30.708171
Mean521.48039
Median Absolute Deviation (MAD)59.5
Skewness5.0078394
Sum53191
Variance1964185.3
MonotonicityNot monotonic
2024-04-17T21:45:53.731244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 5
 
4.9%
14 4
 
3.9%
11 3
 
2.9%
6 3
 
2.9%
20 3
 
2.9%
107 2
 
2.0%
87 2
 
2.0%
10 2
 
2.0%
25 2
 
2.0%
24 2
 
2.0%
Other values (70) 74
72.5%
ValueCountFrequency (%)
5 2
 
2.0%
6 3
2.9%
8 5
4.9%
9 1
 
1.0%
10 2
 
2.0%
11 3
2.9%
12 1
 
1.0%
13 1
 
1.0%
14 4
3.9%
15 1
 
1.0%
ValueCountFrequency (%)
10835 1
1.0%
4968 1
1.0%
4774 1
1.0%
4336 1
1.0%
3964 1
1.0%
2402 1
1.0%
1927 1
1.0%
1901 1
1.0%
1575 1
1.0%
1321 1
1.0%

CP_CST
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

MALE_CST
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)74.7%
Missing3
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean342.9899
Minimum5
Maximum6094
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:53.826947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q113
median51
Q3196.5
95-th percentile1667.7
Maximum6094
Range6089
Interquartile range (IQR)183.5

Descriptive statistics

Standard deviation850.15265
Coefficient of variation (CV)2.4786521
Kurtosis23.392247
Mean342.9899
Median Absolute Deviation (MAD)43
Skewness4.4057264
Sum33956
Variance722759.52
MonotonicityNot monotonic
2024-04-17T21:45:53.944699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 8
 
7.8%
5 4
 
3.9%
8 3
 
2.9%
9 3
 
2.9%
16 3
 
2.9%
22 2
 
2.0%
14 2
 
2.0%
55 2
 
2.0%
24 2
 
2.0%
13 2
 
2.0%
Other values (64) 68
66.7%
(Missing) 3
 
2.9%
ValueCountFrequency (%)
5 4
3.9%
6 2
 
2.0%
7 8
7.8%
8 3
 
2.9%
9 3
 
2.9%
10 1
 
1.0%
11 2
 
2.0%
12 1
 
1.0%
13 2
 
2.0%
14 2
 
2.0%
ValueCountFrequency (%)
6094 1
1.0%
3175 1
1.0%
3044 1
1.0%
2778 1
1.0%
2556 1
1.0%
1569 1
1.0%
1391 1
1.0%
1006 1
1.0%
978 1
1.0%
944 1
1.0%

FEMALE_CST
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)72.7%
Missing25
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean249.12987
Minimum5
Maximum4741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:54.042428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q111
median40
Q3125
95-th percentile1072
Maximum4741
Range4736
Interquartile range (IQR)114

Descriptive statistics

Standard deviation654.09899
Coefficient of variation (CV)2.6255342
Kurtosis30.351333
Mean249.12987
Median Absolute Deviation (MAD)33
Skewness5.0383884
Sum19183
Variance427845.48
MonotonicityNot monotonic
2024-04-17T21:45:54.389412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 5
 
4.9%
9 5
 
4.9%
7 4
 
3.9%
10 3
 
2.9%
20 3
 
2.9%
25 2
 
2.0%
6 2
 
2.0%
13 2
 
2.0%
15 2
 
2.0%
41 2
 
2.0%
Other values (46) 47
46.1%
(Missing) 25
24.5%
ValueCountFrequency (%)
5 5
4.9%
6 2
 
2.0%
7 4
3.9%
9 5
4.9%
10 3
2.9%
11 1
 
1.0%
13 2
 
2.0%
15 2
 
2.0%
20 3
2.9%
24 1
 
1.0%
ValueCountFrequency (%)
4741 1
1.0%
1996 1
1.0%
1924 1
1.0%
1780 1
1.0%
895 1
1.0%
833 1
1.0%
789 1
1.0%
597 1
1.0%
566 1
1.0%
536 1
1.0%

AGE09_CST
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing102
Missing (%)100.0%
Memory size1.0 KiB

AGE10_CST
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)91.7%
Missing90
Missing (%)88.2%
Infinite0
Infinite (%)0.0%
Mean46.083333
Minimum9
Maximum205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:54.488209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9.55
Q111
median18
Q349
95-th percentile156.6
Maximum205
Range196
Interquartile range (IQR)38

Descriptive statistics

Standard deviation59.507766
Coefficient of variation (CV)1.2913078
Kurtosis4.4169415
Mean46.083333
Median Absolute Deviation (MAD)8.5
Skewness2.1304788
Sum553
Variance3541.1742
MonotonicityNot monotonic
2024-04-17T21:45:54.573730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
11 2
 
2.0%
16 1
 
1.0%
10 1
 
1.0%
28 1
 
1.0%
42 1
 
1.0%
70 1
 
1.0%
9 1
 
1.0%
205 1
 
1.0%
117 1
 
1.0%
20 1
 
1.0%
(Missing) 90
88.2%
ValueCountFrequency (%)
9 1
1.0%
10 1
1.0%
11 2
2.0%
14 1
1.0%
16 1
1.0%
20 1
1.0%
28 1
1.0%
42 1
1.0%
70 1
1.0%
117 1
1.0%
ValueCountFrequency (%)
205 1
1.0%
117 1
1.0%
70 1
1.0%
42 1
1.0%
28 1
1.0%
20 1
1.0%
16 1
1.0%
14 1
1.0%
11 2
2.0%
10 1
1.0%

AGE20_CST
Real number (ℝ)

MISSING 

Distinct34
Distinct (%)70.8%
Missing54
Missing (%)52.9%
Infinite0
Infinite (%)0.0%
Mean167.02083
Minimum5
Maximum2264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:54.694223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q112.75
median30
Q3134.5
95-th percentile580.55
Maximum2264
Range2259
Interquartile range (IQR)121.75

Descriptive statistics

Standard deviation377.53278
Coefficient of variation (CV)2.2603933
Kurtosis21.270334
Mean167.02083
Median Absolute Deviation (MAD)23.5
Skewness4.2943809
Sum8017
Variance142531
MonotonicityNot monotonic
2024-04-17T21:45:54.785141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
6 4
 
3.9%
16 3
 
2.9%
7 3
 
2.9%
9 3
 
2.9%
5 2
 
2.0%
26 2
 
2.0%
20 2
 
2.0%
30 2
 
2.0%
31 2
 
2.0%
127 1
 
1.0%
Other values (24) 24
23.5%
(Missing) 54
52.9%
ValueCountFrequency (%)
5 2
2.0%
6 4
3.9%
7 3
2.9%
9 3
2.9%
14 1
 
1.0%
16 3
2.9%
17 1
 
1.0%
18 1
 
1.0%
20 2
2.0%
23 1
 
1.0%
ValueCountFrequency (%)
2264 1
1.0%
1201 1
1.0%
597 1
1.0%
550 1
1.0%
486 1
1.0%
385 1
1.0%
335 1
1.0%
293 1
1.0%
223 1
1.0%
213 1
1.0%

AGE30_CST
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)84.1%
Missing39
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean234.50794
Minimum5
Maximum3373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:54.884719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.1
Q114.5
median39
Q3191
95-th percentile1217.1
Maximum3373
Range3368
Interquartile range (IQR)176.5

Descriptive statistics

Standard deviation525.78982
Coefficient of variation (CV)2.2420982
Kurtosis20.918513
Mean234.50794
Median Absolute Deviation (MAD)30
Skewness4.14723
Sum14774
Variance276454.93
MonotonicityNot monotonic
2024-04-17T21:45:54.987729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 4
 
3.9%
9 3
 
2.9%
17 2
 
2.0%
74 2
 
2.0%
19 2
 
2.0%
29 2
 
2.0%
10 2
 
2.0%
7 1
 
1.0%
71 1
 
1.0%
18 1
 
1.0%
Other values (43) 43
42.2%
(Missing) 39
38.2%
ValueCountFrequency (%)
5 4
3.9%
6 1
 
1.0%
7 1
 
1.0%
8 1
 
1.0%
9 3
2.9%
10 2
2.0%
11 1
 
1.0%
12 1
 
1.0%
13 1
 
1.0%
14 1
 
1.0%
ValueCountFrequency (%)
3373 1
1.0%
1592 1
1.0%
1316 1
1.0%
1238 1
1.0%
1029 1
1.0%
927 1
1.0%
494 1
1.0%
483 1
1.0%
455 1
1.0%
444 1
1.0%

AGE40_CST
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)68.8%
Missing25
Missing (%)24.5%
Infinite0
Infinite (%)0.0%
Mean197.4026
Minimum5
Maximum2936
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:55.092858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q113
median32
Q3101
95-th percentile1245.2
Maximum2936
Range2931
Interquartile range (IQR)88

Descriptive statistics

Standard deviation450.85008
Coefficient of variation (CV)2.2839116
Kurtosis18.888478
Mean197.4026
Median Absolute Deviation (MAD)22
Skewness3.9671376
Sum15200
Variance203265.8
MonotonicityNot monotonic
2024-04-17T21:45:55.197313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 5
 
4.9%
13 3
 
2.9%
32 3
 
2.9%
11 3
 
2.9%
12 3
 
2.9%
9 2
 
2.0%
14 2
 
2.0%
8 2
 
2.0%
38 2
 
2.0%
15 2
 
2.0%
Other values (43) 50
49.0%
(Missing) 25
24.5%
ValueCountFrequency (%)
5 5
4.9%
7 1
 
1.0%
8 2
 
2.0%
9 2
 
2.0%
10 1
 
1.0%
11 3
2.9%
12 3
2.9%
13 3
2.9%
14 2
 
2.0%
15 2
 
2.0%
ValueCountFrequency (%)
2936 1
1.0%
1428 1
1.0%
1399 1
1.0%
1382 1
1.0%
1211 1
1.0%
711 1
1.0%
656 1
1.0%
653 1
1.0%
452 1
1.0%
401 1
1.0%

AGE50_CST
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)68.6%
Missing32
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean134.74286
Minimum5
Maximum1561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:55.310469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q117.5
median28.5
Q3117.75
95-th percentile753.15
Maximum1561
Range1556
Interquartile range (IQR)100.25

Descriptive statistics

Standard deviation263.44494
Coefficient of variation (CV)1.9551681
Kurtosis13.449366
Mean134.74286
Median Absolute Deviation (MAD)21.5
Skewness3.4153628
Sum9432
Variance69403.237
MonotonicityNot monotonic
2024-04-17T21:45:55.412308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
6 5
 
4.9%
23 4
 
3.9%
7 4
 
3.9%
26 4
 
3.9%
19 3
 
2.9%
21 2
 
2.0%
5 2
 
2.0%
120 2
 
2.0%
8 2
 
2.0%
40 2
 
2.0%
Other values (38) 40
39.2%
(Missing) 32
31.4%
ValueCountFrequency (%)
5 2
 
2.0%
6 5
4.9%
7 4
3.9%
8 2
 
2.0%
9 1
 
1.0%
10 2
 
2.0%
16 1
 
1.0%
17 1
 
1.0%
19 3
2.9%
21 2
 
2.0%
ValueCountFrequency (%)
1561 1
1.0%
904 1
1.0%
826 1
1.0%
804 1
1.0%
691 1
1.0%
491 1
1.0%
479 1
1.0%
312 1
1.0%
277 1
1.0%
246 1
1.0%

AGE60_CST
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)75.4%
Missing45
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean67.578947
Minimum5
Maximum420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:55.514729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.8
Q110
median26
Q374
95-th percentile246.4
Maximum420
Range415
Interquartile range (IQR)64

Descriptive statistics

Standard deviation93.348416
Coefficient of variation (CV)1.3813239
Kurtosis4.9913246
Mean67.578947
Median Absolute Deviation (MAD)20
Skewness2.2107457
Sum3852
Variance8713.9267
MonotonicityNot monotonic
2024-04-17T21:45:55.612236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
6 5
 
4.9%
7 3
 
2.9%
5 3
 
2.9%
9 3
 
2.9%
24 2
 
2.0%
10 2
 
2.0%
20 2
 
2.0%
16 2
 
2.0%
163 1
 
1.0%
143 1
 
1.0%
Other values (33) 33
32.4%
(Missing) 45
44.1%
ValueCountFrequency (%)
5 3
2.9%
6 5
4.9%
7 3
2.9%
9 3
2.9%
10 2
 
2.0%
11 1
 
1.0%
12 1
 
1.0%
15 1
 
1.0%
16 2
 
2.0%
17 1
 
1.0%
ValueCountFrequency (%)
420 1
1.0%
396 1
1.0%
276 1
1.0%
239 1
1.0%
203 1
1.0%
185 1
1.0%
181 1
1.0%
175 1
1.0%
170 1
1.0%
163 1
1.0%

AGE70_CST
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)71.9%
Missing70
Missing (%)68.6%
Infinite0
Infinite (%)0.0%
Mean29.09375
Minimum5
Maximum109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-04-17T21:45:55.707322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5
Q18.75
median14.5
Q341.25
95-th percentile84.5
Maximum109
Range104
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation29.977798
Coefficient of variation (CV)1.0303862
Kurtosis0.44294651
Mean29.09375
Median Absolute Deviation (MAD)8
Skewness1.3066303
Sum931
Variance898.66835
MonotonicityNot monotonic
2024-04-17T21:45:55.798386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5 3
 
2.9%
15 3
 
2.9%
13 2
 
2.0%
6 2
 
2.0%
11 2
 
2.0%
8 2
 
2.0%
9 2
 
2.0%
24 1
 
1.0%
35 1
 
1.0%
80 1
 
1.0%
Other values (13) 13
 
12.7%
(Missing) 70
68.6%
ValueCountFrequency (%)
5 3
2.9%
6 2
2.0%
7 1
 
1.0%
8 2
2.0%
9 2
2.0%
10 1
 
1.0%
11 2
2.0%
13 2
2.0%
14 1
 
1.0%
15 3
2.9%
ValueCountFrequency (%)
109 1
1.0%
90 1
1.0%
80 1
1.0%
76 1
1.0%
72 1
1.0%
70 1
1.0%
66 1
1.0%
48 1
1.0%
39 1
1.0%
35 1
1.0%

Sample

STD_YMMEGA_CTY_NMCTY_RGN_NMADMI_CTY_NMADMI_CTY_NOTBBUZ_NOTPBUZ_NMCNTINDV_CNTCP_CNTMALE_CNTFEMALE_CNTAGE09_CNTAGE10_CNTAGE20_CNTAGE30_CNTAGE40_CNTAGE50_CNTAGE60_CNTAGE70_CNTMON_CNTTUE_CNTWED_CNTTHU_CNTFRI_CNTSAT_CNTSUN_CNTTIME0005_CNTTIME0610_CNTTIME1113_CNTTIME1417_CNTTIME1820_CNTTIME2123_CNTAMTINDV_AMTCP_AMTMALE_AMTFEMALE_AMTAGE09_AMTAGE10_AMTAGE20_AMTAGE30_AMTAGE40_AMTAGE50_AMTAGE60_AMTAGE70_AMTMON_AMTTUE_AMTWED_AMTTHU_AMTFRI_AMTSAT_AMTSUN_AMTTIME0005_AMTTIME0610_AMTTIME1113_AMTTIME1417_AMTTIME1820_AMTTIME2123_AMTCSTINDV_CSTCP_CSTMALE_CSTFEMALE_CSTAGE09_CSTAGE10_CSTAGE20_CSTAGE30_CSTAGE40_CSTAGE50_CSTAGE60_CSTAGE70_CST
0202203충청남도아산시도고면442004004303침구수예점1616<NA>79<NA><NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA><NA>5<NA><NA><NA>86<NA><NA>3650003650000195000170000009500070000140000600000035000075000250001000012500095000001650001250007500001616<NA>79<NA><NA><NA><NA>7<NA><NA><NA>
1202203충청남도아산시도고면442004004421신발2525<NA>169<NA><NA><NA><NA><NA>812<NA><NA><NA><NA><NA><NA>8<NA><NA><NA>812<NA><NA>16420001642000010410006010000019000010000066800054500031000033300026400022000027000110000500000188000012500036700089000026000002525<NA>169<NA><NA><NA><NA><NA>812<NA>
2202203충청남도아산시도고면442004005123유아원108108<NA>3078<NA><NA>135931<NA><NA><NA>3710151034<NA><NA><NA>18413410<NA>3604705036047050090876702695938000367972021356360939397013570002600000131688103982220422040039595601019606052000003652607247200139235801055411029626409942607171<NA>2249<NA><NA>63922<NA><NA><NA>
3202203충청남도아산시도고면442004008004일식회집1818<NA>16<NA><NA><NA><NA><NA>575<NA><NA><NA><NA><NA><NA>5<NA><NA><NA><NA>511<NA>825000825000070700011800000098000267000292000168000088000490001500001020009600017000017000000210002220004750001070001313<NA>11<NA><NA><NA><NA><NA>56<NA><NA>
4202203충청남도아산시도고면442004008005중국음식113113<NA>8924<NA><NA>121430262110720911212124<NA><NA>712713<NA>28930002893000023505005425000024400031600080850052700068750031000012100051200017500020250057500068900061850005300017110007900003390000101101<NA>7724<NA><NA>9132824207
5202203충청남도아산시도고면442004008021스넥173173<NA>12548<NA><NA>2333385423<NA>28342318293011<NA>6152585424071900407190002940900113100001800052300076800087990013380005200002500062800078800056150040400069850077450021740004150018450054300021604001142500132132<NA>9141<NA><NA>1626314017<NA>
6202203충청남도아산시도고면442004008101유흥주점66<NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4400004400000380000600000000145000295000000011000065000023000035000000012000032000055<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7202203충청남도아산시도고면442004008399기타음료식품821821<NA>638183<NA><NA>74191236201101171391481201241209971<NA>1781772511783785749508574950066751001899850014600514000138720025222002401450139230034320012460001366700121880014206501152500128960088070001609700178800024120002297950467300362362<NA>26696<NA><NA>26749698589
8202203충청남도아산시도고면442004009006목재석재철물3838<NA>36<NA><NA><NA><NA><NA><NA>1517<NA>105<NA><NA>97<NA><NA>13817<NA><NA>76210076210007226003950000200079000330002837003624002000210400548001244005600020800010850000280500163900317700002626<NA>24<NA><NA><NA><NA><NA><NA>1010<NA>
9202203충청남도아산시도고면442004009901기계공구2222<NA>20<NA><NA><NA><NA><NA><NA>106<NA><NA><NA><NA>5<NA><NA><NA><NA>1056<NA><NA>825060825060075206073000001000017800020300043706060007200038500347060192000780009750000210000196500412560600001515<NA>14<NA><NA><NA><NA><NA><NA>6<NA><NA>
STD_YMMEGA_CTY_NMCTY_RGN_NMADMI_CTY_NMADMI_CTY_NOTBBUZ_NOTPBUZ_NMCNTINDV_CNTCP_CNTMALE_CNTFEMALE_CNTAGE09_CNTAGE10_CNTAGE20_CNTAGE30_CNTAGE40_CNTAGE50_CNTAGE60_CNTAGE70_CNTMON_CNTTUE_CNTWED_CNTTHU_CNTFRI_CNTSAT_CNTSUN_CNTTIME0005_CNTTIME0610_CNTTIME1113_CNTTIME1417_CNTTIME1820_CNTTIME2123_CNTAMTINDV_AMTCP_AMTMALE_AMTFEMALE_AMTAGE09_AMTAGE10_AMTAGE20_AMTAGE30_AMTAGE40_AMTAGE50_AMTAGE60_AMTAGE70_AMTMON_AMTTUE_AMTWED_AMTTHU_AMTFRI_AMTSAT_AMTSUN_AMTTIME0005_AMTTIME0610_AMTTIME1113_AMTTIME1417_AMTTIME1820_AMTTIME2123_AMTCSTINDV_CSTCP_CSTMALE_CSTFEMALE_CSTAGE09_CSTAGE10_CSTAGE20_CSTAGE30_CSTAGE40_CSTAGE50_CSTAGE60_CSTAGE70_CST
92202203충청남도아산시염치읍442002509099기타건축자재1313<NA>9<NA><NA><NA><NA><NA><NA><NA>6<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8<NA><NA>46248504624850014525003172350000025740033500009547506270042350117240002489400260700440000220000082940026900001105450001010<NA>8<NA><NA><NA><NA><NA><NA><NA>5<NA>
93202203충청남도아산시영인면442003707020의원101101<NA>7427<NA><NA><NA><NA>23314061723727189<NA><NA>223445<NA><NA>7455007455000492200253300000158001339001909003126009230085500126600310001890002647004870000152600273700319200007575<NA>5520<NA><NA><NA><NA>1623296
94202203충청남도아산시영인면442003707021한의원1010<NA><NA>7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5<NA><NA>6020060200017400428000000240031000225004300109001550024001550015900000244008500273000099<NA><NA>6<NA><NA><NA><NA><NA><NA><NA><NA>
95202203충청남도아산시영인면442003707041약국151151<NA>11239<NA><NA>71622355714272319372817<NA><NA>41406010<NA>16810001681000012538004272000036000143100198300382700746100174800312600357500173300469800191300176500003988004334006988001500000130130<NA>9535<NA><NA>71520294613
96202203충청남도아산시영인면442003708006서양음식413413<NA>256157<NA><NA>2910011711744664414858536386<NA>2619116629<NA>413765041376500254335015943000031985091975011159001020600695050665006129503760504549504804006574506015009543500259900179565018095502626509900285285<NA>177108<NA><NA>2370837233<NA>
97202203충청남도아산시영인면442003708031위탁급식업2626<NA>25<NA><NA><NA><NA>159<NA><NA><NA>78<NA><NA><NA><NA><NA><NA><NA>26<NA><NA><NA>2300002300000225000500000075000450001100000040000135000200001500020000000023000000066<NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA>
98202203충청남도아산시영인면442003708302정육점137137<NA>9542<NA><NA>523373828617171718132926<NA>15364244<NA>86933008693300066028802090420003139701195670245722027897501701970234720841050122039073984014800505831101817100201176006312601825070277195034650200125125<NA>8936<NA><NA>5233236245
99202203충청남도아산시영인면442003708310농축수산품1515<NA>11<NA><NA><NA><NA><NA>5<NA><NA><NA><NA><NA>6<NA><NA><NA><NA><NA><NA>77<NA><NA>15142001514200012184002958000066000768000396400938001500004000014000390000402000051400019420000400005780008962000088<NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA>
100202203충청남도아산시영인면442003709299기타수리서비스1212<NA>10<NA><NA><NA><NA><NA><NA><NA>5<NA>5<NA><NA>5<NA><NA><NA><NA>5<NA>6<NA><NA>7548007548000645100109700000341000617004363002227002892000341003865004500000034060049000365200001111<NA>9<NA><NA><NA><NA><NA><NA><NA><NA><NA>
101202203충청남도아산시온양1동442005702010악기점66<NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>5125005125000482500300000030000046550017000001600003000001850005700024700004000030000282500160000066<NA>5<NA><NA><NA><NA><NA><NA><NA><NA><NA>