Overview

Dataset statistics

Number of variables57
Number of observations150
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.7%
Total size in memory74.8 KiB
Average record size in memory510.9 B

Variable types

Categorical14
Numeric43

Dataset

DescriptionSample
Author고려대학교 세종산학협력단
URLhttps://www.bigdata-telecom.kr/invoke/SOKBP2603/?goodsCode=KRUPOPLTN00000000001

Alerts

STDYY has constant value ""Constant
ATPT_NM has constant value ""Constant
MALE_95_POPLTN_CO has constant value ""Constant
MALE_100_POPLTN_CO has constant value ""Constant
MALE_AGE_UKNWN_POPLTN_CO has constant value ""Constant
SIGNGU_NM has constant value ""Constant
FEMALE_100_POPLTN_CO has constant value ""Constant
FEMALE_AGE_UKNWN_POPLTN_CO has constant value ""Constant
NON_SMGU_POPLTN_CO has constant value ""Constant
Dataset has 1 (0.7%) duplicate rowsDuplicates
MALE_85_POPLTN_CO is highly imbalanced (80.3%)Imbalance
MALE_90_POPLTN_CO is highly imbalanced (94.2%)Imbalance
FEMALE_95_POPLTN_CO is highly imbalanced (91.3%)Imbalance
AGED_DPNDNCY_RATE has 10 (6.7%) zerosZeros
YOUTH_DPNDNCY_RATE has 9 (6.0%) zerosZeros
MALE_00_POPLTN_CO has 41 (27.3%) zerosZeros
MALE_05_POPLTN_CO has 27 (18.0%) zerosZeros
MALE_10_POPLTN_CO has 25 (16.7%) zerosZeros
MALE_15_POPLTN_CO has 18 (12.0%) zerosZeros
MALE_20_POPLTN_CO has 20 (13.3%) zerosZeros
MALE_25_POPLTN_CO has 14 (9.3%) zerosZeros
MALE_30_POPLTN_CO has 16 (10.7%) zerosZeros
MALE_35_POPLTN_CO has 14 (9.3%) zerosZeros
MALE_40_POPLTN_CO has 12 (8.0%) zerosZeros
MALE_45_POPLTN_CO has 13 (8.7%) zerosZeros
MALE_50_POPLTN_CO has 14 (9.3%) zerosZeros
MALE_55_POPLTN_CO has 13 (8.7%) zerosZeros
MALE_60_POPLTN_CO has 15 (10.0%) zerosZeros
MALE_65_POPLTN_CO has 21 (14.0%) zerosZeros
MALE_70_POPLTN_CO has 31 (20.7%) zerosZeros
MALE_75_POPLTN_CO has 38 (25.3%) zerosZeros
MALE_80_POPLTN_CO has 97 (64.7%) zerosZeros
FEMALE_00_POPLTN_CO has 37 (24.7%) zerosZeros
FEMALE_05_POPLTN_CO has 33 (22.0%) zerosZeros
FEMALE_10_POPLTN_CO has 23 (15.3%) zerosZeros
FEMALE_15_POPLTN_CO has 17 (11.3%) zerosZeros
FEMALE_20_POPLTN_CO has 14 (9.3%) zerosZeros
FEMALE_25_POPLTN_CO has 16 (10.7%) zerosZeros
FEMALE_30_POPLTN_CO has 15 (10.0%) zerosZeros
FEMALE_35_POPLTN_CO has 14 (9.3%) zerosZeros
FEMALE_40_POPLTN_CO has 14 (9.3%) zerosZeros
FEMALE_45_POPLTN_CO has 14 (9.3%) zerosZeros
FEMALE_50_POPLTN_CO has 15 (10.0%) zerosZeros
FEMALE_55_POPLTN_CO has 13 (8.7%) zerosZeros
FEMALE_60_POPLTN_CO has 15 (10.0%) zerosZeros
FEMALE_65_POPLTN_CO has 18 (12.0%) zerosZeros
FEMALE_70_POPLTN_CO has 22 (14.7%) zerosZeros
FEMALE_75_POPLTN_CO has 30 (20.0%) zerosZeros
FEMALE_80_POPLTN_CO has 68 (45.3%) zerosZeros
FEMALE_85_POPLTN_CO has 122 (81.3%) zerosZeros
FEMALE_90_POPLTN_CO has 143 (95.3%) zerosZeros
TOT_POPLTN_CO has 8 (5.3%) zerosZeros
AVRG_AGE has 8 (5.3%) zerosZeros
POPLTN_DN has 8 (5.3%) zerosZeros
AGINGINDEX has 10 (6.7%) zerosZeros

Reproduction

Analysis started2023-12-10 06:29:38.149081
Analysis finished2023-12-10 06:29:38.968750
Duration0.82 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

STDYY
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2015
150 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2015 150
100.0%

Length

2023-12-10T15:29:39.085061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:39.325409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 150
100.0%

CSOPAR_CODE
Categorical

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
1101060000000
99 
1101070000000
27 
1101050000000
24 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1101070000000
2nd row1101070000000
3rd row1101070000000
4th row1101070000000
5th row1101070000000

Common Values

ValueCountFrequency (%)
1101060000000 99
66.0%
1101070000000 27
 
18.0%
1101050000000 24
 
16.0%

Length

2023-12-10T15:29:39.576439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:39.795258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1101060000000 99
66.0%
1101070000000 27
 
18.0%
1101050000000 24
 
16.0%

AGED_DPNDNCY_RATE
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)75.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.645333
Minimum0
Maximum57.3
Zeros10
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:40.044900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116.225
median21.4
Q328.275
95-th percentile36.2
Maximum57.3
Range57.3
Interquartile range (IQR)12.05

Descriptive statistics

Standard deviation10.07206
Coefficient of variation (CV)0.46532246
Kurtosis1.0335574
Mean21.645333
Median Absolute Deviation (MAD)5.75
Skewness0.11049784
Sum3246.8
Variance101.44639
MonotonicityNot monotonic
2023-12-10T15:29:40.318129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
6.7%
28.6 3
 
2.0%
19.4 3
 
2.0%
24.8 3
 
2.0%
18.1 3
 
2.0%
21.4 3
 
2.0%
22.3 2
 
1.3%
31.4 2
 
1.3%
18.7 2
 
1.3%
31.2 2
 
1.3%
Other values (103) 117
78.0%
ValueCountFrequency (%)
0.0 10
6.7%
1.9 1
 
0.7%
7.0 1
 
0.7%
9.6 1
 
0.7%
9.9 1
 
0.7%
10.4 1
 
0.7%
10.8 1
 
0.7%
12.0 1
 
0.7%
12.1 1
 
0.7%
12.6 1
 
0.7%
ValueCountFrequency (%)
57.3 1
0.7%
48.1 1
0.7%
45.6 1
0.7%
44.5 1
0.7%
43.2 1
0.7%
39.0 1
0.7%
36.8 1
0.7%
36.2 2
1.3%
35.4 1
0.7%
34.8 1
0.7%

YOUTH_DPNDNCY_RATE
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.393333
Minimum0
Maximum66.7
Zeros9
Zeros (%)6.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:40.643332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.3
median15.15
Q319.1
95-th percentile26.865
Maximum66.7
Range66.7
Interquartile range (IQR)6.8

Descriptive statistics

Standard deviation8.9014792
Coefficient of variation (CV)0.54299385
Kurtosis9.6276867
Mean16.393333
Median Absolute Deviation (MAD)3.35
Skewness2.0480558
Sum2459
Variance79.236331
MonotonicityNot monotonic
2023-12-10T15:29:40.887385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 9
 
6.0%
15.0 5
 
3.3%
17.8 4
 
2.7%
14.8 3
 
2.0%
13.8 3
 
2.0%
17.1 3
 
2.0%
11.8 3
 
2.0%
14.0 3
 
2.0%
12.3 3
 
2.0%
16.8 3
 
2.0%
Other values (94) 111
74.0%
ValueCountFrequency (%)
0.0 9
6.0%
2.9 1
 
0.7%
5.2 1
 
0.7%
7.2 1
 
0.7%
8.3 1
 
0.7%
9.2 1
 
0.7%
9.3 1
 
0.7%
9.5 1
 
0.7%
9.7 1
 
0.7%
9.8 1
 
0.7%
ValueCountFrequency (%)
66.7 1
0.7%
55.1 1
0.7%
50.0 1
0.7%
43.0 1
0.7%
34.4 1
0.7%
29.2 1
0.7%
28.4 1
0.7%
27.0 1
0.7%
26.7 1
0.7%
25.7 1
0.7%

MALE_00_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1733333
Minimum0
Maximum36
Zeros41
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:41.093075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q311
95-th percentile16
Maximum36
Range36
Interquartile range (IQR)11

Descriptive statistics

Standard deviation6.0487357
Coefficient of variation (CV)0.84322524
Kurtosis3.0105907
Mean7.1733333
Median Absolute Deviation (MAD)4
Skewness1.0915157
Sum1076
Variance36.587204
MonotonicityNot monotonic
2023-12-10T15:29:41.320113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 41
27.3%
6 23
15.3%
11 12
 
8.0%
9 12
 
8.0%
8 11
 
7.3%
5 9
 
6.0%
7 8
 
5.3%
10 6
 
4.0%
12 6
 
4.0%
13 5
 
3.3%
Other values (9) 17
11.3%
ValueCountFrequency (%)
0 41
27.3%
5 9
 
6.0%
6 23
15.3%
7 8
 
5.3%
8 11
 
7.3%
9 12
 
8.0%
10 6
 
4.0%
11 12
 
8.0%
12 6
 
4.0%
13 5
 
3.3%
ValueCountFrequency (%)
36 1
 
0.7%
26 1
 
0.7%
24 1
 
0.7%
22 1
 
0.7%
20 2
 
1.3%
17 1
 
0.7%
16 2
 
1.3%
15 3
2.0%
14 5
3.3%
13 5
3.3%

MALE_05_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6133333
Minimum0
Maximum23
Zeros27
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:41.502003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median8
Q312
95-th percentile19
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.6065478
Coefficient of variation (CV)0.65091499
Kurtosis-0.17929384
Mean8.6133333
Median Absolute Deviation (MAD)3
Skewness0.21080354
Sum1292
Variance31.433378
MonotonicityNot monotonic
2023-12-10T15:29:41.681272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 27
18.0%
6 17
11.3%
10 14
9.3%
7 14
9.3%
8 13
8.7%
11 10
 
6.7%
14 9
 
6.0%
9 8
 
5.3%
13 6
 
4.0%
5 6
 
4.0%
Other values (9) 26
17.3%
ValueCountFrequency (%)
0 27
18.0%
5 6
 
4.0%
6 17
11.3%
7 14
9.3%
8 13
8.7%
9 8
 
5.3%
10 14
9.3%
11 10
 
6.7%
12 6
 
4.0%
13 6
 
4.0%
ValueCountFrequency (%)
23 2
 
1.3%
22 1
 
0.7%
21 2
 
1.3%
20 1
 
0.7%
19 3
 
2.0%
17 1
 
0.7%
16 6
4.0%
15 4
2.7%
14 9
6.0%
13 6
4.0%

MALE_10_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.8
Minimum0
Maximum32
Zeros25
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:41.882077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median11
Q314.75
95-th percentile23
Maximum32
Range32
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation6.9668438
Coefficient of variation (CV)0.64507813
Kurtosis0.3071332
Mean10.8
Median Absolute Deviation (MAD)4
Skewness0.32954337
Sum1620
Variance48.536913
MonotonicityNot monotonic
2023-12-10T15:29:42.082054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 25
16.7%
10 16
 
10.7%
12 13
 
8.7%
14 13
 
8.7%
15 8
 
5.3%
9 8
 
5.3%
7 7
 
4.7%
11 7
 
4.7%
8 6
 
4.0%
5 6
 
4.0%
Other values (16) 41
27.3%
ValueCountFrequency (%)
0 25
16.7%
5 6
 
4.0%
6 5
 
3.3%
7 7
 
4.7%
8 6
 
4.0%
9 8
 
5.3%
10 16
10.7%
11 7
 
4.7%
12 13
8.7%
13 6
 
4.0%
ValueCountFrequency (%)
32 1
0.7%
31 1
0.7%
29 1
0.7%
27 1
0.7%
25 1
0.7%
24 2
1.3%
23 2
1.3%
22 2
1.3%
21 1
0.7%
20 2
1.3%

MALE_15_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.66
Minimum0
Maximum73
Zeros18
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:42.319059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median13
Q318
95-th percentile25
Maximum73
Range73
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.9883071
Coefficient of variation (CV)0.65800198
Kurtosis11.882698
Mean13.66
Median Absolute Deviation (MAD)5
Skewness1.9772773
Sum2049
Variance80.789664
MonotonicityNot monotonic
2023-12-10T15:29:42.536279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 18
 
12.0%
11 10
 
6.7%
9 10
 
6.7%
14 10
 
6.7%
16 10
 
6.7%
12 9
 
6.0%
21 9
 
6.0%
13 8
 
5.3%
10 8
 
5.3%
8 7
 
4.7%
Other values (17) 51
34.0%
ValueCountFrequency (%)
0 18
12.0%
5 1
 
0.7%
6 1
 
0.7%
7 7
 
4.7%
8 7
 
4.7%
9 10
6.7%
10 8
5.3%
11 10
6.7%
12 9
6.0%
13 8
5.3%
ValueCountFrequency (%)
73 1
 
0.7%
37 2
 
1.3%
28 1
 
0.7%
27 2
 
1.3%
26 1
 
0.7%
25 5
3.3%
24 1
 
0.7%
23 3
 
2.0%
22 4
2.7%
21 9
6.0%

MALE_20_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.18
Minimum0
Maximum88
Zeros20
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:42.738101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median11
Q314.75
95-th percentile20
Maximum88
Range88
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation8.6993558
Coefficient of variation (CV)0.7781177
Kurtosis40.041643
Mean11.18
Median Absolute Deviation (MAD)4
Skewness4.5496607
Sum1677
Variance75.678792
MonotonicityNot monotonic
2023-12-10T15:29:42.978925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 20
13.3%
7 14
 
9.3%
12 14
 
9.3%
10 11
 
7.3%
11 10
 
6.7%
14 10
 
6.7%
20 9
 
6.0%
9 9
 
6.0%
13 9
 
6.0%
16 8
 
5.3%
Other values (11) 36
24.0%
ValueCountFrequency (%)
0 20
13.3%
5 6
 
4.0%
6 5
 
3.3%
7 14
9.3%
8 4
 
2.7%
9 9
6.0%
10 11
7.3%
11 10
6.7%
12 14
9.3%
13 9
6.0%
ValueCountFrequency (%)
88 1
 
0.7%
26 1
 
0.7%
22 2
 
1.3%
21 2
 
1.3%
20 9
6.0%
19 2
 
1.3%
18 4
2.7%
17 4
2.7%
16 8
5.3%
15 5
3.3%

MALE_25_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.153333
Minimum0
Maximum30
Zeros14
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:43.167515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median13
Q317
95-th percentile22
Maximum30
Range30
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.5392328
Coefficient of variation (CV)0.49715404
Kurtosis0.17593066
Mean13.153333
Median Absolute Deviation (MAD)3.5
Skewness-0.10504795
Sum1973
Variance42.761566
MonotonicityNot monotonic
2023-12-10T15:29:43.375350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10 14
 
9.3%
12 14
 
9.3%
0 14
 
9.3%
14 11
 
7.3%
13 10
 
6.7%
16 10
 
6.7%
11 10
 
6.7%
17 8
 
5.3%
22 8
 
5.3%
15 6
 
4.0%
Other values (14) 45
30.0%
ValueCountFrequency (%)
0 14
9.3%
5 2
 
1.3%
6 4
 
2.7%
7 4
 
2.7%
8 4
 
2.7%
9 4
 
2.7%
10 14
9.3%
11 10
6.7%
12 14
9.3%
13 10
6.7%
ValueCountFrequency (%)
30 1
 
0.7%
29 2
 
1.3%
27 1
 
0.7%
26 1
 
0.7%
25 2
 
1.3%
22 8
5.3%
21 4
2.7%
20 5
3.3%
19 6
4.0%
18 5
3.3%

MALE_30_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.626667
Minimum0
Maximum33
Zeros16
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:43.615391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median13
Q317.75
95-th percentile26
Maximum33
Range33
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation6.9519411
Coefficient of variation (CV)0.5101718
Kurtosis0.33474075
Mean13.626667
Median Absolute Deviation (MAD)3
Skewness-0.059743389
Sum2044
Variance48.329485
MonotonicityNot monotonic
2023-12-10T15:29:43.817592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
13 20
13.3%
0 16
 
10.7%
15 15
 
10.0%
12 11
 
7.3%
10 11
 
7.3%
19 9
 
6.0%
11 8
 
5.3%
16 7
 
4.7%
17 7
 
4.7%
20 5
 
3.3%
Other values (16) 41
27.3%
ValueCountFrequency (%)
0 16
10.7%
6 2
 
1.3%
7 4
 
2.7%
8 4
 
2.7%
9 3
 
2.0%
10 11
7.3%
11 8
 
5.3%
12 11
7.3%
13 20
13.3%
14 4
 
2.7%
ValueCountFrequency (%)
33 1
 
0.7%
29 3
2.0%
28 2
1.3%
27 1
 
0.7%
26 2
1.3%
25 1
 
0.7%
24 1
 
0.7%
23 2
1.3%
22 3
2.0%
21 4
2.7%

MALE_35_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.646667
Minimum0
Maximum32
Zeros14
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:44.020255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median14
Q318
95-th percentile23
Maximum32
Range32
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.8120862
Coefficient of variation (CV)0.49917584
Kurtosis0.44006045
Mean13.646667
Median Absolute Deviation (MAD)4
Skewness-0.085109333
Sum2047
Variance46.404519
MonotonicityNot monotonic
2023-12-10T15:29:44.197275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
17 14
 
9.3%
0 14
 
9.3%
16 12
 
8.0%
12 12
 
8.0%
11 10
 
6.7%
14 10
 
6.7%
18 10
 
6.7%
13 9
 
6.0%
20 7
 
4.7%
9 7
 
4.7%
Other values (15) 45
30.0%
ValueCountFrequency (%)
0 14
9.3%
5 3
 
2.0%
6 3
 
2.0%
7 5
 
3.3%
8 4
 
2.7%
9 7
4.7%
10 3
 
2.0%
11 10
6.7%
12 12
8.0%
13 9
6.0%
ValueCountFrequency (%)
32 3
2.0%
30 1
 
0.7%
27 1
 
0.7%
26 1
 
0.7%
24 1
 
0.7%
23 2
 
1.3%
22 4
2.7%
21 5
3.3%
20 7
4.7%
19 4
2.7%

ADSTRD_CODE
Real number (ℝ)

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1110552 × 109
Minimum1.1110515 × 109
Maximum1.11106 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:44.386822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110515 × 109
5-th percentile1.1110515 × 109
Q11.111053 × 109
median1.111056 × 109
Q31.111057 × 109
95-th percentile1.111058 × 109
Maximum1.11106 × 109
Range8500
Interquartile range (IQR)4000

Descriptive statistics

Standard deviation2374.8896
Coefficient of variation (CV)2.1375083 × 10-6
Kurtosis-0.84573224
Mean1.1110552 × 109
Median Absolute Deviation (MAD)2000
Skewness-0.1083188
Sum1.6665827 × 1011
Variance5640100.7
MonotonicityIncreasing
2023-12-10T15:29:44.602784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1111056000 36
24.0%
1111051500 27
18.0%
1111055000 21
14.0%
1111058000 21
14.0%
1111053000 18
12.0%
1111057000 15
10.0%
1111054000 6
 
4.0%
1111060000 6
 
4.0%
ValueCountFrequency (%)
1111051500 27
18.0%
1111053000 18
12.0%
1111054000 6
 
4.0%
1111055000 21
14.0%
1111056000 36
24.0%
1111057000 15
10.0%
1111058000 21
14.0%
1111060000 6
 
4.0%
ValueCountFrequency (%)
1111060000 6
 
4.0%
1111058000 21
14.0%
1111057000 15
10.0%
1111056000 36
24.0%
1111055000 21
14.0%
1111054000 6
 
4.0%
1111053000 18
12.0%
1111051500 27
18.0%

MALE_40_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct33
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.533333
Minimum0
Maximum42
Zeros12
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:44.811474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median18.5
Q323
95-th percentile32.55
Maximum42
Range42
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.3871639
Coefficient of variation (CV)0.45254482
Kurtosis0.60483418
Mean18.533333
Median Absolute Deviation (MAD)4.5
Skewness-0.24982421
Sum2780
Variance70.344519
MonotonicityNot monotonic
2023-12-10T15:29:45.033076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
17 13
 
8.7%
0 12
 
8.0%
15 11
 
7.3%
22 11
 
7.3%
20 9
 
6.0%
18 9
 
6.0%
23 8
 
5.3%
16 8
 
5.3%
19 7
 
4.7%
12 6
 
4.0%
Other values (23) 56
37.3%
ValueCountFrequency (%)
0 12
8.0%
6 1
 
0.7%
7 2
 
1.3%
9 1
 
0.7%
10 4
 
2.7%
11 1
 
0.7%
12 6
4.0%
13 2
 
1.3%
14 5
3.3%
15 11
7.3%
ValueCountFrequency (%)
42 1
 
0.7%
37 2
1.3%
36 1
 
0.7%
35 1
 
0.7%
34 2
1.3%
33 1
 
0.7%
32 1
 
0.7%
31 3
2.0%
30 1
 
0.7%
29 2
1.3%

MALE_45_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.153333
Minimum0
Maximum39
Zeros13
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:45.271529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median18.5
Q323
95-th percentile33
Maximum39
Range39
Interquartile range (IQR)9

Descriptive statistics

Standard deviation8.6036801
Coefficient of variation (CV)0.47394492
Kurtosis0.38635043
Mean18.153333
Median Absolute Deviation (MAD)4.5
Skewness-0.16154322
Sum2723
Variance74.023311
MonotonicityNot monotonic
2023-12-10T15:29:45.905348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 13
 
8.7%
19 11
 
7.3%
11 10
 
6.7%
17 9
 
6.0%
15 9
 
6.0%
16 9
 
6.0%
21 8
 
5.3%
27 8
 
5.3%
20 8
 
5.3%
18 7
 
4.7%
Other values (19) 58
38.7%
ValueCountFrequency (%)
0 13
8.7%
7 1
 
0.7%
8 1
 
0.7%
9 2
 
1.3%
10 3
 
2.0%
11 10
6.7%
12 3
 
2.0%
13 2
 
1.3%
14 6
4.0%
15 9
6.0%
ValueCountFrequency (%)
39 3
 
2.0%
37 1
 
0.7%
36 1
 
0.7%
35 1
 
0.7%
33 3
 
2.0%
31 2
 
1.3%
29 3
 
2.0%
27 8
5.3%
26 4
2.7%
25 6
4.0%

MALE_50_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.993333
Minimum0
Maximum39
Zeros14
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:46.142394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median19
Q323
95-th percentile30
Maximum39
Range39
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.147546
Coefficient of variation (CV)0.45280915
Kurtosis0.76026986
Mean17.993333
Median Absolute Deviation (MAD)4
Skewness-0.39014058
Sum2699
Variance66.382506
MonotonicityNot monotonic
2023-12-10T15:29:46.345389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
15 15
 
10.0%
0 14
 
9.3%
23 12
 
8.0%
20 11
 
7.3%
22 10
 
6.7%
19 9
 
6.0%
14 8
 
5.3%
17 8
 
5.3%
16 8
 
5.3%
27 6
 
4.0%
Other values (18) 49
32.7%
ValueCountFrequency (%)
0 14
9.3%
8 1
 
0.7%
9 1
 
0.7%
10 4
 
2.7%
11 1
 
0.7%
12 3
 
2.0%
13 5
 
3.3%
14 8
5.3%
15 15
10.0%
16 8
5.3%
ValueCountFrequency (%)
39 2
 
1.3%
36 2
 
1.3%
35 1
 
0.7%
32 1
 
0.7%
30 3
2.0%
29 2
 
1.3%
28 1
 
0.7%
27 6
4.0%
26 2
 
1.3%
25 3
2.0%

MALE_55_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.466667
Minimum0
Maximum34
Zeros13
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:46.554218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113
median17
Q322
95-th percentile27.55
Maximum34
Range34
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.5116613
Coefficient of variation (CV)0.45617376
Kurtosis0.28787948
Mean16.466667
Median Absolute Deviation (MAD)4
Skewness-0.43837382
Sum2470
Variance56.425056
MonotonicityNot monotonic
2023-12-10T15:29:46.759902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
15 17
 
11.3%
0 13
 
8.7%
18 12
 
8.0%
13 11
 
7.3%
20 9
 
6.0%
17 9
 
6.0%
24 9
 
6.0%
22 8
 
5.3%
16 8
 
5.3%
14 6
 
4.0%
Other values (18) 48
32.0%
ValueCountFrequency (%)
0 13
8.7%
5 3
 
2.0%
8 1
 
0.7%
9 3
 
2.0%
10 3
 
2.0%
11 5
 
3.3%
12 4
 
2.7%
13 11
7.3%
14 6
 
4.0%
15 17
11.3%
ValueCountFrequency (%)
34 1
 
0.7%
33 1
 
0.7%
32 1
 
0.7%
31 1
 
0.7%
29 3
 
2.0%
28 1
 
0.7%
27 3
 
2.0%
26 2
 
1.3%
25 5
3.3%
24 9
6.0%

MALE_60_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.04
Minimum0
Maximum27
Zeros15
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:46.976948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median12
Q315
95-th percentile22
Maximum27
Range27
Interquartile range (IQR)5

Descriptive statistics

Standard deviation5.8181387
Coefficient of variation (CV)0.48323411
Kurtosis0.41344474
Mean12.04
Median Absolute Deviation (MAD)3
Skewness-0.23206656
Sum1806
Variance33.850738
MonotonicityNot monotonic
2023-12-10T15:29:47.190449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10 18
12.0%
0 15
10.0%
12 14
9.3%
11 14
9.3%
15 11
 
7.3%
14 11
 
7.3%
13 10
 
6.7%
16 9
 
6.0%
8 9
 
6.0%
17 7
 
4.7%
Other values (13) 32
21.3%
ValueCountFrequency (%)
0 15
10.0%
5 3
 
2.0%
6 1
 
0.7%
7 3
 
2.0%
8 9
6.0%
9 4
 
2.7%
10 18
12.0%
11 14
9.3%
12 14
9.3%
13 10
6.7%
ValueCountFrequency (%)
27 1
 
0.7%
26 1
 
0.7%
25 1
 
0.7%
24 2
 
1.3%
23 2
 
1.3%
22 2
 
1.3%
20 3
2.0%
19 4
2.7%
18 5
3.3%
17 7
4.7%

MALE_65_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct17
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.06
Minimum0
Maximum23
Zeros21
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:47.366115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median9
Q312
95-th percentile17
Maximum23
Range23
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1045841
Coefficient of variation (CV)0.56341988
Kurtosis-0.035960234
Mean9.06
Median Absolute Deviation (MAD)3
Skewness-0.056145528
Sum1359
Variance26.056779
MonotonicityNot monotonic
2023-12-10T15:29:47.566239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 21
14.0%
11 16
10.7%
9 15
10.0%
8 13
8.7%
12 12
8.0%
10 12
8.0%
7 12
8.0%
6 10
6.7%
15 8
 
5.3%
5 8
 
5.3%
Other values (7) 23
15.3%
ValueCountFrequency (%)
0 21
14.0%
5 8
 
5.3%
6 10
6.7%
7 12
8.0%
8 13
8.7%
9 15
10.0%
10 12
8.0%
11 16
10.7%
12 12
8.0%
13 5
 
3.3%
ValueCountFrequency (%)
23 1
 
0.7%
21 2
 
1.3%
19 3
 
2.0%
17 5
 
3.3%
16 3
 
2.0%
15 8
5.3%
14 4
 
2.7%
13 5
 
3.3%
12 12
8.0%
11 16
10.7%

MALE_70_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3533333
Minimum0
Maximum21
Zeros31
Zeros (%)20.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:47.760484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.25
median9
Q312
95-th percentile18
Maximum21
Range21
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation5.4786182
Coefficient of variation (CV)0.65586012
Kurtosis-0.61079465
Mean8.3533333
Median Absolute Deviation (MAD)3.5
Skewness-0.034093904
Sum1253
Variance30.015257
MonotonicityNot monotonic
2023-12-10T15:29:47.974424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 31
20.7%
9 14
9.3%
8 14
9.3%
7 13
8.7%
13 13
8.7%
10 10
 
6.7%
11 9
 
6.0%
6 9
 
6.0%
14 8
 
5.3%
5 7
 
4.7%
Other values (8) 22
14.7%
ValueCountFrequency (%)
0 31
20.7%
5 7
 
4.7%
6 9
 
6.0%
7 13
8.7%
8 14
9.3%
9 14
9.3%
10 10
 
6.7%
11 9
 
6.0%
12 6
 
4.0%
13 13
8.7%
ValueCountFrequency (%)
21 1
 
0.7%
20 2
 
1.3%
19 2
 
1.3%
18 4
 
2.7%
17 2
 
1.3%
16 3
 
2.0%
15 2
 
1.3%
14 8
5.3%
13 13
8.7%
12 6
4.0%

MALE_75_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct14
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1533333
Minimum0
Maximum22
Zeros38
Zeros (%)25.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:48.166380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median7
Q38.75
95-th percentile13
Maximum22
Range22
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation4.3206025
Coefficient of variation (CV)0.70215642
Kurtosis0.16670695
Mean6.1533333
Median Absolute Deviation (MAD)2
Skewness0.12371859
Sum923
Variance18.667606
MonotonicityNot monotonic
2023-12-10T15:29:48.346258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 38
25.3%
6 24
16.0%
8 24
16.0%
7 15
 
10.0%
9 12
 
8.0%
5 11
 
7.3%
10 6
 
4.0%
11 6
 
4.0%
12 5
 
3.3%
13 4
 
2.7%
Other values (4) 5
 
3.3%
ValueCountFrequency (%)
0 38
25.3%
5 11
 
7.3%
6 24
16.0%
7 15
 
10.0%
8 24
16.0%
9 12
 
8.0%
10 6
 
4.0%
11 6
 
4.0%
12 5
 
3.3%
13 4
 
2.7%
ValueCountFrequency (%)
22 1
 
0.7%
16 1
 
0.7%
15 1
 
0.7%
14 2
 
1.3%
13 4
 
2.7%
12 5
 
3.3%
11 6
 
4.0%
10 6
 
4.0%
9 12
8.0%
8 24
16.0%

MALE_80_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.3066667
Minimum0
Maximum12
Zeros97
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:48.508384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile8
Maximum12
Range12
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2972363
Coefficient of variation (CV)1.4294377
Kurtosis-0.48362109
Mean2.3066667
Median Absolute Deviation (MAD)0
Skewness0.97294409
Sum346
Variance10.871767
MonotonicityNot monotonic
2023-12-10T15:29:48.691406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 97
64.7%
5 20
 
13.3%
6 14
 
9.3%
8 8
 
5.3%
7 4
 
2.7%
10 4
 
2.7%
9 2
 
1.3%
12 1
 
0.7%
ValueCountFrequency (%)
0 97
64.7%
5 20
 
13.3%
6 14
 
9.3%
7 4
 
2.7%
8 8
 
5.3%
9 2
 
1.3%
10 4
 
2.7%
12 1
 
0.7%
ValueCountFrequency (%)
12 1
 
0.7%
10 4
 
2.7%
9 2
 
1.3%
8 8
 
5.3%
7 4
 
2.7%
6 14
 
9.3%
5 20
 
13.3%
0 97
64.7%

MALE_85_POPLTN_CO
Categorical

IMBALANCE 

Distinct5
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
140 
5
 
6
6
 
2
7
 
1
13
 
1

Length

Max length2
Median length1
Mean length1.0066667
Min length1

Unique

Unique2 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 140
93.3%
5 6
 
4.0%
6 2
 
1.3%
7 1
 
0.7%
13 1
 
0.7%

Length

2023-12-10T15:29:48.883015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:49.066070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 140
93.3%
5 6
 
4.0%
6 2
 
1.3%
7 1
 
0.7%
13 1
 
0.7%

ATPT_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
서울
150 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울 150
100.0%

Length

2023-12-10T15:29:49.249019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:49.435674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울 150
100.0%

MALE_90_POPLTN_CO
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
149 
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
0 149
99.3%
5 1
 
0.7%

Length

2023-12-10T15:29:49.625285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:49.790280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 149
99.3%
5 1
 
0.7%

MALE_95_POPLTN_CO
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
150 

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 (%)
0 150
100.0%

Length

2023-12-10T15:29:49.980865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:50.139999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 150
100.0%

MALE_100_POPLTN_CO
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
150 

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 (%)
0 150
100.0%

Length

2023-12-10T15:29:50.301127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:50.500329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 150
100.0%

MALE_AGE_UKNWN_POPLTN_CO
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
150 

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 (%)
0 150
100.0%

Length

2023-12-10T15:29:50.690302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:50.854283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 150
100.0%

FEMALE_00_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9133333
Minimum0
Maximum31
Zeros37
Zeros (%)24.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:50.996480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median7
Q39.75
95-th percentile16.55
Maximum31
Range31
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation5.4734707
Coefficient of variation (CV)0.79172672
Kurtosis2.7516301
Mean6.9133333
Median Absolute Deviation (MAD)2.5
Skewness1.0294766
Sum1037
Variance29.958881
MonotonicityNot monotonic
2023-12-10T15:29:51.197677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 37
24.7%
8 21
14.0%
5 16
10.7%
7 15
10.0%
10 13
 
8.7%
6 12
 
8.0%
9 11
 
7.3%
11 8
 
5.3%
20 3
 
2.0%
13 3
 
2.0%
Other values (8) 11
 
7.3%
ValueCountFrequency (%)
0 37
24.7%
5 16
10.7%
6 12
 
8.0%
7 15
10.0%
8 21
14.0%
9 11
 
7.3%
10 13
 
8.7%
11 8
 
5.3%
12 2
 
1.3%
13 3
 
2.0%
ValueCountFrequency (%)
31 1
 
0.7%
27 1
 
0.7%
20 3
2.0%
19 1
 
0.7%
18 1
 
0.7%
17 1
 
0.7%
16 2
1.3%
14 2
1.3%
13 3
2.0%
12 2
1.3%

FEMALE_05_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.72
Minimum0
Maximum22
Zeros33
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:51.410540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median7.5
Q311
95-th percentile18
Maximum22
Range22
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.4663338
Coefficient of variation (CV)0.70807433
Kurtosis-0.26629698
Mean7.72
Median Absolute Deviation (MAD)2.5
Skewness0.28631134
Sum1158
Variance29.880805
MonotonicityNot monotonic
2023-12-10T15:29:51.637496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 33
22.0%
7 20
13.3%
10 13
 
8.7%
8 13
 
8.7%
5 11
 
7.3%
6 11
 
7.3%
12 9
 
6.0%
9 9
 
6.0%
11 6
 
4.0%
13 6
 
4.0%
Other values (8) 19
12.7%
ValueCountFrequency (%)
0 33
22.0%
5 11
 
7.3%
6 11
 
7.3%
7 20
13.3%
8 13
 
8.7%
9 9
 
6.0%
10 13
 
8.7%
11 6
 
4.0%
12 9
 
6.0%
13 6
 
4.0%
ValueCountFrequency (%)
22 1
 
0.7%
20 5
3.3%
19 1
 
0.7%
18 2
 
1.3%
17 2
 
1.3%
16 1
 
0.7%
15 5
3.3%
14 2
 
1.3%
13 6
4.0%
12 9
6.0%

FEMALE_10_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7866667
Minimum0
Maximum32
Zeros23
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:51.883262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median10
Q314
95-th percentile19
Maximum32
Range32
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.9737532
Coefficient of variation (CV)0.61039712
Kurtosis0.39693109
Mean9.7866667
Median Absolute Deviation (MAD)4
Skewness0.18820847
Sum1468
Variance35.685727
MonotonicityNot monotonic
2023-12-10T15:29:52.073961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 23
15.3%
7 12
 
8.0%
9 11
 
7.3%
13 11
 
7.3%
8 10
 
6.7%
10 10
 
6.7%
12 10
 
6.7%
16 9
 
6.0%
6 9
 
6.0%
14 9
 
6.0%
Other values (10) 36
24.0%
ValueCountFrequency (%)
0 23
15.3%
5 7
 
4.7%
6 9
 
6.0%
7 12
8.0%
8 10
6.7%
9 11
7.3%
10 10
6.7%
11 8
 
5.3%
12 10
6.7%
13 11
7.3%
ValueCountFrequency (%)
32 1
 
0.7%
23 1
 
0.7%
22 1
 
0.7%
21 3
 
2.0%
19 3
 
2.0%
18 4
2.7%
17 3
 
2.0%
16 9
6.0%
15 5
3.3%
14 9
6.0%

FEMALE_15_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.48
Minimum0
Maximum64
Zeros17
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:52.308620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median13
Q318
95-th percentile25.55
Maximum64
Range64
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.6122435
Coefficient of variation (CV)0.63889047
Kurtosis6.9604801
Mean13.48
Median Absolute Deviation (MAD)5
Skewness1.3970527
Sum2022
Variance74.170738
MonotonicityNot monotonic
2023-12-10T15:29:52.525575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 17
 
11.3%
13 16
 
10.7%
11 15
 
10.0%
12 11
 
7.3%
8 9
 
6.0%
16 9
 
6.0%
6 7
 
4.7%
17 7
 
4.7%
21 7
 
4.7%
24 5
 
3.3%
Other values (18) 47
31.3%
ValueCountFrequency (%)
0 17
11.3%
5 3
 
2.0%
6 7
4.7%
7 4
 
2.7%
8 9
6.0%
9 2
 
1.3%
10 4
 
2.7%
11 15
10.0%
12 11
7.3%
13 16
10.7%
ValueCountFrequency (%)
64 1
 
0.7%
36 1
 
0.7%
32 1
 
0.7%
29 2
 
1.3%
27 1
 
0.7%
26 2
 
1.3%
25 2
 
1.3%
24 5
3.3%
23 4
2.7%
22 5
3.3%

FEMALE_20_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.366667
Minimum0
Maximum83
Zeros14
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:53.003010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median14
Q318
95-th percentile27.55
Maximum83
Range83
Interquartile range (IQR)8

Descriptive statistics

Standard deviation9.1881282
Coefficient of variation (CV)0.63954489
Kurtosis20.069737
Mean14.366667
Median Absolute Deviation (MAD)4
Skewness2.8172325
Sum2155
Variance84.4217
MonotonicityNot monotonic
2023-12-10T15:29:53.245585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 14
 
9.3%
15 12
 
8.0%
12 12
 
8.0%
11 12
 
8.0%
14 10
 
6.7%
7 8
 
5.3%
16 8
 
5.3%
18 7
 
4.7%
17 7
 
4.7%
19 6
 
4.0%
Other values (18) 54
36.0%
ValueCountFrequency (%)
0 14
9.3%
5 1
 
0.7%
6 2
 
1.3%
7 8
5.3%
8 6
4.0%
9 3
 
2.0%
10 6
4.0%
11 12
8.0%
12 12
8.0%
13 6
4.0%
ValueCountFrequency (%)
83 1
 
0.7%
37 1
 
0.7%
34 1
 
0.7%
31 1
 
0.7%
28 4
2.7%
27 1
 
0.7%
26 1
 
0.7%
25 2
1.3%
23 4
2.7%
22 4
2.7%

FEMALE_25_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.04
Minimum0
Maximum46
Zeros16
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:53.481286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110.25
median14.5
Q319
95-th percentile23
Maximum46
Range46
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation7.2044729
Coefficient of variation (CV)0.51313909
Kurtosis1.915298
Mean14.04
Median Absolute Deviation (MAD)4.5
Skewness0.11878067
Sum2106
Variance51.90443
MonotonicityNot monotonic
2023-12-10T15:29:53.689316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 16
 
10.7%
17 15
 
10.0%
11 12
 
8.0%
15 11
 
7.3%
19 10
 
6.7%
22 9
 
6.0%
12 9
 
6.0%
20 9
 
6.0%
14 8
 
5.3%
13 8
 
5.3%
Other values (15) 43
28.7%
ValueCountFrequency (%)
0 16
10.7%
6 1
 
0.7%
7 3
 
2.0%
8 7
4.7%
9 8
5.3%
10 3
 
2.0%
11 12
8.0%
12 9
6.0%
13 8
5.3%
14 8
5.3%
ValueCountFrequency (%)
46 1
 
0.7%
29 1
 
0.7%
28 1
 
0.7%
26 1
 
0.7%
25 1
 
0.7%
24 1
 
0.7%
23 4
2.7%
22 9
6.0%
21 5
3.3%
20 9
6.0%

SIGNGU_NM
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
종로구
150 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종로구 150
100.0%

Length

2023-12-10T15:29:53.913504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:54.113508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종로구 150
100.0%

FEMALE_30_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.7
Minimum0
Maximum42
Zeros15
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:54.283022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median16
Q320
95-th percentile27.55
Maximum42
Range42
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.9315444
Coefficient of variation (CV)0.50519391
Kurtosis0.83740426
Mean15.7
Median Absolute Deviation (MAD)4
Skewness0.028971422
Sum2355
Variance62.909396
MonotonicityNot monotonic
2023-12-10T15:29:54.477206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 15
 
10.0%
18 14
 
9.3%
16 12
 
8.0%
14 12
 
8.0%
13 10
 
6.7%
12 9
 
6.0%
21 9
 
6.0%
19 7
 
4.7%
15 6
 
4.0%
10 6
 
4.0%
Other values (18) 50
33.3%
ValueCountFrequency (%)
0 15
10.0%
5 2
 
1.3%
6 1
 
0.7%
7 1
 
0.7%
9 4
 
2.7%
10 6
 
4.0%
11 4
 
2.7%
12 9
6.0%
13 10
6.7%
14 12
8.0%
ValueCountFrequency (%)
42 1
 
0.7%
38 1
 
0.7%
35 1
 
0.7%
34 1
 
0.7%
30 1
 
0.7%
28 3
2.0%
27 5
3.3%
25 3
2.0%
24 4
2.7%
23 5
3.3%

FEMALE_35_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct27
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.726667
Minimum0
Maximum41
Zeros14
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:54.678019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median18
Q322
95-th percentile28
Maximum41
Range41
Interquartile range (IQR)10

Descriptive statistics

Standard deviation7.9721804
Coefficient of variation (CV)0.47661501
Kurtosis0.21941694
Mean16.726667
Median Absolute Deviation (MAD)5
Skewness-0.35507195
Sum2509
Variance63.55566
MonotonicityNot monotonic
2023-12-10T15:29:54.884158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 14
 
9.3%
22 11
 
7.3%
19 10
 
6.7%
18 9
 
6.0%
17 9
 
6.0%
11 9
 
6.0%
20 8
 
5.3%
21 8
 
5.3%
14 7
 
4.7%
13 6
 
4.0%
Other values (17) 59
39.3%
ValueCountFrequency (%)
0 14
9.3%
7 2
 
1.3%
8 4
 
2.7%
9 3
 
2.0%
10 5
 
3.3%
11 9
6.0%
12 3
 
2.0%
13 6
4.0%
14 7
4.7%
15 6
4.0%
ValueCountFrequency (%)
41 1
 
0.7%
31 2
 
1.3%
30 3
2.0%
29 1
 
0.7%
28 5
3.3%
27 2
 
1.3%
26 3
2.0%
25 5
3.3%
24 4
2.7%
23 5
3.3%

FEMALE_40_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.953333
Minimum0
Maximum44
Zeros14
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:55.091435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median21
Q327
95-th percentile36.55
Maximum44
Range44
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.8963329
Coefficient of variation (CV)0.47230351
Kurtosis0.23948376
Mean20.953333
Median Absolute Deviation (MAD)5
Skewness-0.33912935
Sum3143
Variance97.937405
MonotonicityNot monotonic
2023-12-10T15:29:55.663989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
0 14
 
9.3%
23 10
 
6.7%
21 9
 
6.0%
17 9
 
6.0%
20 8
 
5.3%
30 8
 
5.3%
27 8
 
5.3%
16 7
 
4.7%
26 7
 
4.7%
19 7
 
4.7%
Other values (24) 63
42.0%
ValueCountFrequency (%)
0 14
9.3%
7 2
 
1.3%
10 2
 
1.3%
11 3
 
2.0%
12 1
 
0.7%
13 5
 
3.3%
14 1
 
0.7%
15 4
 
2.7%
16 7
4.7%
17 9
6.0%
ValueCountFrequency (%)
44 1
 
0.7%
42 2
1.3%
41 1
 
0.7%
40 1
 
0.7%
39 1
 
0.7%
38 1
 
0.7%
37 1
 
0.7%
36 4
2.7%
34 2
1.3%
33 3
2.0%

FEMALE_45_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.56
Minimum0
Maximum56
Zeros14
Zeros (%)9.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:55.848193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q117
median22
Q327
95-th percentile35
Maximum56
Range56
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.7247211
Coefficient of variation (CV)0.45105386
Kurtosis1.2498108
Mean21.56
Median Absolute Deviation (MAD)5
Skewness-0.38115229
Sum3234
Variance94.570201
MonotonicityNot monotonic
2023-12-10T15:29:56.068415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
22 14
 
9.3%
0 14
 
9.3%
25 12
 
8.0%
19 9
 
6.0%
23 8
 
5.3%
16 7
 
4.7%
18 7
 
4.7%
31 6
 
4.0%
27 6
 
4.0%
15 6
 
4.0%
Other values (22) 61
40.7%
ValueCountFrequency (%)
0 14
9.3%
5 1
 
0.7%
8 1
 
0.7%
11 1
 
0.7%
13 1
 
0.7%
14 2
 
1.3%
15 6
4.0%
16 7
4.7%
17 6
4.0%
18 7
4.7%
ValueCountFrequency (%)
56 1
 
0.7%
46 1
 
0.7%
39 1
 
0.7%
37 1
 
0.7%
36 3
2.0%
35 2
 
1.3%
34 1
 
0.7%
33 4
2.7%
32 3
2.0%
31 6
4.0%

FEMALE_50_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.586667
Minimum0
Maximum38
Zeros15
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:56.263966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q116
median21
Q325.75
95-th percentile31.55
Maximum38
Range38
Interquartile range (IQR)9.75

Descriptive statistics

Standard deviation8.7808415
Coefficient of variation (CV)0.44830709
Kurtosis0.41995307
Mean19.586667
Median Absolute Deviation (MAD)5
Skewness-0.69898565
Sum2938
Variance77.103177
MonotonicityNot monotonic
2023-12-10T15:29:56.568313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 15
 
10.0%
21 12
 
8.0%
16 10
 
6.7%
24 10
 
6.7%
26 9
 
6.0%
17 9
 
6.0%
19 8
 
5.3%
15 8
 
5.3%
23 7
 
4.7%
22 7
 
4.7%
Other values (19) 55
36.7%
ValueCountFrequency (%)
0 15
10.0%
8 2
 
1.3%
9 1
 
0.7%
11 1
 
0.7%
12 2
 
1.3%
13 4
 
2.7%
14 2
 
1.3%
15 8
5.3%
16 10
6.7%
17 9
6.0%
ValueCountFrequency (%)
38 1
 
0.7%
37 2
 
1.3%
34 3
2.0%
33 1
 
0.7%
32 1
 
0.7%
31 3
2.0%
30 3
2.0%
29 6
4.0%
28 5
3.3%
27 4
2.7%

FEMALE_55_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct32
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.28
Minimum0
Maximum38
Zeros13
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:56.808546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q115
median19
Q323
95-th percentile32
Maximum38
Range38
Interquartile range (IQR)8

Descriptive statistics

Standard deviation8.2763673
Coefficient of variation (CV)0.45275532
Kurtosis0.5537779
Mean18.28
Median Absolute Deviation (MAD)4
Skewness-0.44140424
Sum2742
Variance68.498255
MonotonicityNot monotonic
2023-12-10T15:29:57.007477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
22 16
 
10.7%
0 13
 
8.7%
20 11
 
7.3%
23 11
 
7.3%
18 10
 
6.7%
16 10
 
6.7%
14 9
 
6.0%
19 9
 
6.0%
21 7
 
4.7%
15 6
 
4.0%
Other values (22) 48
32.0%
ValueCountFrequency (%)
0 13
8.7%
5 1
 
0.7%
6 1
 
0.7%
7 2
 
1.3%
8 2
 
1.3%
10 2
 
1.3%
11 3
 
2.0%
12 2
 
1.3%
13 2
 
1.3%
14 9
6.0%
ValueCountFrequency (%)
38 1
0.7%
37 1
0.7%
36 1
0.7%
35 2
1.3%
34 2
1.3%
32 2
1.3%
30 2
1.3%
29 1
0.7%
28 2
1.3%
27 2
1.3%

FEMALE_60_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.686667
Minimum0
Maximum39
Zeros15
Zeros (%)10.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:57.212929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median14
Q317
95-th percentile24.55
Maximum39
Range39
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.9273669
Coefficient of variation (CV)0.50613981
Kurtosis0.96548923
Mean13.686667
Median Absolute Deviation (MAD)3
Skewness0.043846486
Sum2053
Variance47.988412
MonotonicityNot monotonic
2023-12-10T15:29:57.443259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
12 17
 
11.3%
0 15
 
10.0%
13 14
 
9.3%
17 11
 
7.3%
15 11
 
7.3%
16 9
 
6.0%
14 9
 
6.0%
19 7
 
4.7%
8 7
 
4.7%
11 7
 
4.7%
Other values (16) 43
28.7%
ValueCountFrequency (%)
0 15
10.0%
5 2
 
1.3%
6 3
 
2.0%
7 1
 
0.7%
8 7
4.7%
9 4
 
2.7%
10 4
 
2.7%
11 7
4.7%
12 17
11.3%
13 14
9.3%
ValueCountFrequency (%)
39 1
 
0.7%
31 1
 
0.7%
30 1
 
0.7%
27 1
 
0.7%
26 1
 
0.7%
25 3
2.0%
24 4
2.7%
22 3
2.0%
21 6
4.0%
20 4
2.7%

FEMALE_65_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.873333
Minimum0
Maximum31
Zeros18
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:57.657688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median12.5
Q315
95-th percentile23.1
Maximum31
Range31
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.5541592
Coefficient of variation (CV)0.55200667
Kurtosis0.25874647
Mean11.873333
Median Absolute Deviation (MAD)3.5
Skewness0.063093903
Sum1781
Variance42.957002
MonotonicityNot monotonic
2023-12-10T15:29:57.867036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
14 18
12.0%
0 18
12.0%
11 11
 
7.3%
15 10
 
6.7%
13 10
 
6.7%
8 10
 
6.7%
16 8
 
5.3%
12 8
 
5.3%
10 8
 
5.3%
17 6
 
4.0%
Other values (15) 43
28.7%
ValueCountFrequency (%)
0 18
12.0%
5 3
 
2.0%
6 6
 
4.0%
7 6
 
4.0%
8 10
6.7%
9 5
 
3.3%
10 8
5.3%
11 11
7.3%
12 8
5.3%
13 10
6.7%
ValueCountFrequency (%)
31 1
 
0.7%
28 1
 
0.7%
27 2
 
1.3%
26 2
 
1.3%
25 1
 
0.7%
24 1
 
0.7%
22 1
 
0.7%
21 2
 
1.3%
20 2
 
1.3%
19 6
4.0%

FEMALE_70_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.58
Minimum0
Maximum32
Zeros22
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:58.108007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median11
Q314
95-th percentile21
Maximum32
Range32
Interquartile range (IQR)7

Descriptive statistics

Standard deviation6.2929277
Coefficient of variation (CV)0.59479468
Kurtosis0.29926839
Mean10.58
Median Absolute Deviation (MAD)4
Skewness0.16728617
Sum1587
Variance39.60094
MonotonicityNot monotonic
2023-12-10T15:29:58.360983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
0 22
14.7%
12 17
11.3%
10 13
8.7%
9 11
 
7.3%
16 10
 
6.7%
11 10
 
6.7%
6 10
 
6.7%
8 9
 
6.0%
7 8
 
5.3%
14 8
 
5.3%
Other values (12) 32
21.3%
ValueCountFrequency (%)
0 22
14.7%
5 1
 
0.7%
6 10
6.7%
7 8
 
5.3%
8 9
6.0%
9 11
7.3%
10 13
8.7%
11 10
6.7%
12 17
11.3%
13 4
 
2.7%
ValueCountFrequency (%)
32 1
 
0.7%
27 1
 
0.7%
23 2
 
1.3%
22 2
 
1.3%
21 3
 
2.0%
20 4
 
2.7%
19 3
 
2.0%
18 3
 
2.0%
17 2
 
1.3%
16 10
6.7%

FEMALE_75_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct19
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4133333
Minimum0
Maximum41
Zeros30
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:58.546534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median8
Q311.75
95-th percentile17.55
Maximum41
Range41
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation6.3088163
Coefficient of variation (CV)0.74985931
Kurtosis4.7806904
Mean8.4133333
Median Absolute Deviation (MAD)3
Skewness1.2562376
Sum1262
Variance39.801163
MonotonicityNot monotonic
2023-12-10T15:29:58.755971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 30
20.0%
5 15
10.0%
8 14
9.3%
10 14
9.3%
11 12
 
8.0%
6 10
 
6.7%
7 10
 
6.7%
9 7
 
4.7%
12 7
 
4.7%
14 6
 
4.0%
Other values (9) 25
16.7%
ValueCountFrequency (%)
0 30
20.0%
5 15
10.0%
6 10
 
6.7%
7 10
 
6.7%
8 14
9.3%
9 7
 
4.7%
10 14
9.3%
11 12
 
8.0%
12 7
 
4.7%
13 6
 
4.0%
ValueCountFrequency (%)
41 1
 
0.7%
31 1
 
0.7%
28 1
 
0.7%
19 1
 
0.7%
18 4
2.7%
17 2
 
1.3%
16 4
2.7%
15 5
3.3%
14 6
4.0%
13 6
4.0%

ADSTRD_NM
Categorical

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
평창동
36 
청운효자동
27 
부암동
21 
교남동
21 
사직동
18 
Other values (3)
27 

Length

Max length5
Median length3
Mean length3.36
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평창동 36
24.0%
청운효자동 27
18.0%
부암동 21
14.0%
교남동 21
14.0%
사직동 18
12.0%
무악동 15
10.0%
삼청동 6
 
4.0%
가회동 6
 
4.0%

Length

2023-12-10T15:29:58.992959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:29:59.224187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평창동 36
24.0%
청운효자동 27
18.0%
부암동 21
14.0%
교남동 21
14.0%
사직동 18
12.0%
무악동 15
10.0%
삼청동 6
 
4.0%
가회동 6
 
4.0%

FEMALE_80_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3866667
Minimum0
Maximum21
Zeros68
Zeros (%)45.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:59.438748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median5
Q37
95-th percentile12
Maximum21
Range21
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.8283095
Coefficient of variation (CV)1.1006785
Kurtosis1.4022128
Mean4.3866667
Median Absolute Deviation (MAD)5
Skewness1.0930704
Sum658
Variance23.312573
MonotonicityNot monotonic
2023-12-10T15:29:59.618811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 68
45.3%
6 19
 
12.7%
5 17
 
11.3%
7 13
 
8.7%
8 12
 
8.0%
11 4
 
2.7%
12 4
 
2.7%
9 3
 
2.0%
10 3
 
2.0%
14 2
 
1.3%
Other values (3) 5
 
3.3%
ValueCountFrequency (%)
0 68
45.3%
5 17
 
11.3%
6 19
 
12.7%
7 13
 
8.7%
8 12
 
8.0%
9 3
 
2.0%
10 3
 
2.0%
11 4
 
2.7%
12 4
 
2.7%
13 1
 
0.7%
ValueCountFrequency (%)
21 2
 
1.3%
20 2
 
1.3%
14 2
 
1.3%
13 1
 
0.7%
12 4
 
2.7%
11 4
 
2.7%
10 3
 
2.0%
9 3
 
2.0%
8 12
8.0%
7 13
8.7%

FEMALE_85_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.6466667
Minimum0
Maximum29
Zeros122
Zeros (%)81.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:29:59.808362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7.55
Maximum29
Range29
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4.3829086
Coefficient of variation (CV)2.6616854
Kurtosis18.227353
Mean1.6466667
Median Absolute Deviation (MAD)0
Skewness3.8841773
Sum247
Variance19.209888
MonotonicityNot monotonic
2023-12-10T15:30:00.063261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 122
81.3%
5 9
 
6.0%
7 6
 
4.0%
6 5
 
3.3%
9 2
 
1.3%
15 2
 
1.3%
8 1
 
0.7%
29 1
 
0.7%
27 1
 
0.7%
18 1
 
0.7%
ValueCountFrequency (%)
0 122
81.3%
5 9
 
6.0%
6 5
 
3.3%
7 6
 
4.0%
8 1
 
0.7%
9 2
 
1.3%
15 2
 
1.3%
18 1
 
0.7%
27 1
 
0.7%
29 1
 
0.7%
ValueCountFrequency (%)
29 1
 
0.7%
27 1
 
0.7%
18 1
 
0.7%
15 2
 
1.3%
9 2
 
1.3%
8 1
 
0.7%
7 6
 
4.0%
6 5
 
3.3%
5 9
 
6.0%
0 122
81.3%

FEMALE_90_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52666667
Minimum0
Maximum27
Zeros143
Zeros (%)95.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:30:00.265867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum27
Range27
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8887578
Coefficient of variation (CV)5.4849832
Kurtosis54.278105
Mean0.52666667
Median Absolute Deviation (MAD)0
Skewness6.948287
Sum79
Variance8.3449217
MonotonicityNot monotonic
2023-12-10T15:30:00.503579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 143
95.3%
5 2
 
1.3%
15 1
 
0.7%
27 1
 
0.7%
7 1
 
0.7%
6 1
 
0.7%
14 1
 
0.7%
ValueCountFrequency (%)
0 143
95.3%
5 2
 
1.3%
6 1
 
0.7%
7 1
 
0.7%
14 1
 
0.7%
15 1
 
0.7%
27 1
 
0.7%
ValueCountFrequency (%)
27 1
 
0.7%
15 1
 
0.7%
14 1
 
0.7%
7 1
 
0.7%
6 1
 
0.7%
5 2
 
1.3%
0 143
95.3%

FEMALE_95_POPLTN_CO
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
147 
7
 
1
6
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique3 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 147
98.0%
7 1
 
0.7%
6 1
 
0.7%
5 1
 
0.7%

Length

2023-12-10T15:30:00.746595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:00.942935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 147
98.0%
7 1
 
0.7%
6 1
 
0.7%
5 1
 
0.7%

FEMALE_100_POPLTN_CO
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
150 

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 (%)
0 150
100.0%

Length

2023-12-10T15:30:01.142536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:01.312497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 150
100.0%

FEMALE_AGE_UKNWN_POPLTN_CO
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
150 

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 (%)
0 150
100.0%

Length

2023-12-10T15:30:01.482080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:01.639796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 150
100.0%

NON_SMGU_POPLTN_CO
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
0
150 

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 (%)
0 150
100.0%

Length

2023-12-10T15:30:01.848301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T15:30:02.045428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 150
100.0%

TOT_POPLTN_CO
Real number (ℝ)

ZEROS 

Distinct114
Distinct (%)76.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443.75333
Minimum0
Maximum796
Zeros8
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:30:02.239337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.45
Q1419.25
median461.5
Q3522.25
95-th percentile626.55
Maximum796
Range796
Interquartile range (IQR)103

Descriptive statistics

Standard deviation161.25335
Coefficient of variation (CV)0.36338511
Kurtosis2.3908894
Mean443.75333
Median Absolute Deviation (MAD)51.5
Skewness-1.4010267
Sum66563
Variance26002.643
MonotonicityNot monotonic
2023-12-10T15:30:02.485804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
5.3%
445 4
 
2.7%
488 4
 
2.7%
485 3
 
2.0%
426 3
 
2.0%
424 3
 
2.0%
435 3
 
2.0%
397 2
 
1.3%
459 2
 
1.3%
471 2
 
1.3%
Other values (104) 116
77.3%
ValueCountFrequency (%)
0 8
5.3%
1 1
 
0.7%
6 1
 
0.7%
17 1
 
0.7%
61 1
 
0.7%
92 1
 
0.7%
123 1
 
0.7%
220 1
 
0.7%
300 1
 
0.7%
305 1
 
0.7%
ValueCountFrequency (%)
796 1
0.7%
761 1
0.7%
754 1
0.7%
700 1
0.7%
671 1
0.7%
637 1
0.7%
629 1
0.7%
627 1
0.7%
626 1
0.7%
623 1
0.7%

AVRG_AGE
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)57.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.028667
Minimum0
Maximum72
Zeros8
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:30:02.768559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.935
Q139.625
median42.15
Q344.25
95-th percentile48.165
Maximum72
Range72
Interquartile range (IQR)4.625

Descriptive statistics

Standard deviation10.650502
Coefficient of variation (CV)0.26607187
Kurtosis8.8222009
Mean40.028667
Median Absolute Deviation (MAD)2.35
Skewness-2.6646404
Sum6004.3
Variance113.4332
MonotonicityNot monotonic
2023-12-10T15:30:03.022669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
5.3%
42.8 6
 
4.0%
40.1 5
 
3.3%
41.4 4
 
2.7%
39.1 4
 
2.7%
42.3 3
 
2.0%
44.0 3
 
2.0%
44.7 3
 
2.0%
42.4 3
 
2.0%
45.2 3
 
2.0%
Other values (76) 108
72.0%
ValueCountFrequency (%)
0.0 8
5.3%
24.3 1
 
0.7%
24.4 1
 
0.7%
29.7 1
 
0.7%
31.5 1
 
0.7%
34.0 1
 
0.7%
34.8 1
 
0.7%
36.1 1
 
0.7%
36.2 1
 
0.7%
37.1 1
 
0.7%
ValueCountFrequency (%)
72.0 1
0.7%
54.3 1
0.7%
53.5 1
0.7%
50.0 2
1.3%
49.9 1
0.7%
48.8 1
0.7%
48.3 1
0.7%
48.0 2
1.3%
47.9 1
0.7%
47.6 1
0.7%

POPLTN_DN
Real number (ℝ)

ZEROS 

Distinct143
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21452.345
Minimum0
Maximum151011
Zeros8
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:30:03.270526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile56.25
Q13529.65
median12815.45
Q328136.35
95-th percentile67123.625
Maximum151011
Range151011
Interquartile range (IQR)24606.7

Descriptive statistics

Standard deviation24858.609
Coefficient of variation (CV)1.1587829
Kurtosis4.6777119
Mean21452.345
Median Absolute Deviation (MAD)10306.75
Skewness1.8738359
Sum3217851.7
Variance6.1795046 × 108
MonotonicityNot monotonic
2023-12-10T15:30:03.506913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 8
 
5.3%
18420.1 1
 
0.7%
11695.7 1
 
0.7%
3444.5 1
 
0.7%
23596.4 1
 
0.7%
4680.8 1
 
0.7%
13136.2 1
 
0.7%
13040.0 1
 
0.7%
7695.9 1
 
0.7%
12564.2 1
 
0.7%
Other values (133) 133
88.7%
ValueCountFrequency (%)
0.0 8
5.3%
125.0 1
 
0.7%
162.4 1
 
0.7%
189.3 1
 
0.7%
270.9 1
 
0.7%
294.0 1
 
0.7%
320.4 1
 
0.7%
512.1 1
 
0.7%
614.2 1
 
0.7%
639.3 1
 
0.7%
ValueCountFrequency (%)
151011.0 1
0.7%
97182.8 1
0.7%
88557.5 1
0.7%
87190.7 1
0.7%
75159.2 1
0.7%
74712.6 1
0.7%
68798.4 1
0.7%
67537.4 1
0.7%
66617.9 1
0.7%
64874.9 1
0.7%

AGINGINDEX
Real number (ℝ)

ZEROS 

Distinct138
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean152.948
Minimum0
Maximum1000
Zeros10
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-10T15:30:03.777030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q182.075
median136.55
Q3196.95
95-th percentile320.47
Maximum1000
Range1000
Interquartile range (IQR)114.875

Descriptive statistics

Standard deviation118.31128
Coefficient of variation (CV)0.77353922
Kurtosis17.698744
Mean152.948
Median Absolute Deviation (MAD)56.8
Skewness3.0255233
Sum22942.2
Variance13997.558
MonotonicityNot monotonic
2023-12-10T15:30:04.037208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 10
 
6.7%
154.5 2
 
1.3%
151.9 2
 
1.3%
195.3 2
 
1.3%
170.2 1
 
0.7%
306.5 1
 
0.7%
174.4 1
 
0.7%
222.7 1
 
0.7%
146.2 1
 
0.7%
147.5 1
 
0.7%
Other values (128) 128
85.3%
ValueCountFrequency (%)
0.0 10
6.7%
3.4 1
 
0.7%
16.4 1
 
0.7%
28.8 1
 
0.7%
33.3 1
 
0.7%
42.3 1
 
0.7%
43.2 1
 
0.7%
53.4 1
 
0.7%
55.3 1
 
0.7%
57.0 1
 
0.7%
ValueCountFrequency (%)
1000.0 1
0.7%
555.6 1
0.7%
526.1 1
0.7%
400.0 1
0.7%
355.9 1
0.7%
355.6 1
0.7%
325.0 1
0.7%
321.1 1
0.7%
319.7 1
0.7%
306.7 1
0.7%

Sample

STDYYCSOPAR_CODEAGED_DPNDNCY_RATEYOUTH_DPNDNCY_RATEMALE_00_POPLTN_COMALE_05_POPLTN_COMALE_10_POPLTN_COMALE_15_POPLTN_COMALE_20_POPLTN_COMALE_25_POPLTN_COMALE_30_POPLTN_COMALE_35_POPLTN_COADSTRD_CODEMALE_40_POPLTN_COMALE_45_POPLTN_COMALE_50_POPLTN_COMALE_55_POPLTN_COMALE_60_POPLTN_COMALE_65_POPLTN_COMALE_70_POPLTN_COMALE_75_POPLTN_COMALE_80_POPLTN_COMALE_85_POPLTN_COATPT_NMMALE_90_POPLTN_COMALE_95_POPLTN_COMALE_100_POPLTN_COMALE_AGE_UKNWN_POPLTN_COFEMALE_00_POPLTN_COFEMALE_05_POPLTN_COFEMALE_10_POPLTN_COFEMALE_15_POPLTN_COFEMALE_20_POPLTN_COFEMALE_25_POPLTN_COSIGNGU_NMFEMALE_30_POPLTN_COFEMALE_35_POPLTN_COFEMALE_40_POPLTN_COFEMALE_45_POPLTN_COFEMALE_50_POPLTN_COFEMALE_55_POPLTN_COFEMALE_60_POPLTN_COFEMALE_65_POPLTN_COFEMALE_70_POPLTN_COFEMALE_75_POPLTN_COADSTRD_NMFEMALE_80_POPLTN_COFEMALE_85_POPLTN_COFEMALE_90_POPLTN_COFEMALE_95_POPLTN_COFEMALE_100_POPLTN_COFEMALE_AGE_UKNWN_POPLTN_CONON_SMGU_POPLTN_COTOT_POPLTN_COAVRG_AGEPOPLTN_DNAGINGINDEX
02015110107000000022.313.111651118291523111105150015111515121411050서울00001258161821종로구2122201916212014129청운효자동000000048541.618420.1170.2
12015110107000000018.422.617151722121019321111051500282121910116600서울000081816111219종로구3041392217151317146청운효자동700000056838.668798.481.3
22015110107000000026.415.09125171272912111105150022112215141271000서울00008717161719종로구28223026222619201818청운효자동570000054643.124758.5175.9
32015110107000000020.518.591661491015171111051500132115121187500서울000088911812종로구24262417201491199청운효자동000000042040.716955.3110.7
42015110107000000013.418.566143713101514111105150017211311060600서울00001081429110종로구11182826131391185청운효자동000000041436.18247.372.4
52015110107000000029.313.895102213211617111105150015162425199131260서울00008879712종로구18171120212216111911청운효자동1150000048845.013804.8212.8
62015110107000000015.417.18131710131413201111051500261919151359500서울0000777181215종로구231820281713191258청운효자동000000045740.11069.189.8
72015110107000000021.720.191732281812131811110515003139301812514880서울000001314241613종로구15213333252118131717청운효자동600000062141.13298.8108.0
82015110107000000018.121.061524251699121111051500162517141007900서울00000109111113종로구121529311612126910청운효자동500000043839.814393.286.4
92015110107000000020.817.871414191012282211110515002919158131011600서울00007716121515종로구23273122112113201011청운효자동500000050640.246687.6116.9
STDYYCSOPAR_CODEAGED_DPNDNCY_RATEYOUTH_DPNDNCY_RATEMALE_00_POPLTN_COMALE_05_POPLTN_COMALE_10_POPLTN_COMALE_15_POPLTN_COMALE_20_POPLTN_COMALE_25_POPLTN_COMALE_30_POPLTN_COMALE_35_POPLTN_COADSTRD_CODEMALE_40_POPLTN_COMALE_45_POPLTN_COMALE_50_POPLTN_COMALE_55_POPLTN_COMALE_60_POPLTN_COMALE_65_POPLTN_COMALE_70_POPLTN_COMALE_75_POPLTN_COMALE_80_POPLTN_COMALE_85_POPLTN_COATPT_NMMALE_90_POPLTN_COMALE_95_POPLTN_COMALE_100_POPLTN_COMALE_AGE_UKNWN_POPLTN_COFEMALE_00_POPLTN_COFEMALE_05_POPLTN_COFEMALE_10_POPLTN_COFEMALE_15_POPLTN_COFEMALE_20_POPLTN_COFEMALE_25_POPLTN_COSIGNGU_NMFEMALE_30_POPLTN_COFEMALE_35_POPLTN_COFEMALE_40_POPLTN_COFEMALE_45_POPLTN_COFEMALE_50_POPLTN_COFEMALE_55_POPLTN_COFEMALE_60_POPLTN_COFEMALE_65_POPLTN_COFEMALE_70_POPLTN_COFEMALE_75_POPLTN_COADSTRD_NMFEMALE_80_POPLTN_COFEMALE_85_POPLTN_COFEMALE_90_POPLTN_COFEMALE_95_POPLTN_COFEMALE_100_POPLTN_COFEMALE_AGE_UKNWN_POPLTN_CONON_SMGU_POPLTN_COTOT_POPLTN_COAVRG_AGEPOPLTN_DNAGINGINDEX
1402015110106000000028.62.9000000001111058000791410566000서울0000000000종로구0000055000교남동00000009253.51420.61000.0
141201511010600000000.050.00000000011110580000000000000서울0000000000종로구0000000000교남동0000000624.3294.00.0
142201511010600000000.00.00000000011110580000000000000서울0000000000종로구0000000000교남동0000000172.0125.00.0
143201511010600000000.00.00000000011110580000000000000서울0000000000종로구0000000000교남동000000000.00.00.0
1442015110106000000023.113.06791512122118111106000017202217161414600서울00007813112121종로구34173023241816181610가회동500000052442.86338.9178.0
1452015110106000000027.213.805790131217111106000027111417101512800서울000097916717종로구13192216151417131210가회동000000040943.810468.9197.5
1462015110106000000029.712.3001217612151311110600001720111716119770서울00005710151113종로구21162022171819151214가회동850000044945.310831.3241.0
1472015110106000000025.712.30111419151723181111060000243729211610181380서울000010810201720종로구22254128262018182013가회동650000062944.019470.7208.9
1482015110106000000025.117.0771610108221611110600002716151217137860서울00006109121118종로구17222222131815131211가회동600000045942.919370.4147.3
1492015110106000000022.315.06916111516181711110600001635211614612650서울00008107131617종로구2125272124228141811가회동000000051242.362060.6148.2

Duplicate rows

Most frequently occurring

STDYYCSOPAR_CODEAGED_DPNDNCY_RATEYOUTH_DPNDNCY_RATEMALE_00_POPLTN_COMALE_05_POPLTN_COMALE_10_POPLTN_COMALE_15_POPLTN_COMALE_20_POPLTN_COMALE_25_POPLTN_COMALE_30_POPLTN_COMALE_35_POPLTN_COADSTRD_CODEMALE_40_POPLTN_COMALE_45_POPLTN_COMALE_50_POPLTN_COMALE_55_POPLTN_COMALE_60_POPLTN_COMALE_65_POPLTN_COMALE_70_POPLTN_COMALE_75_POPLTN_COMALE_80_POPLTN_COMALE_85_POPLTN_COATPT_NMMALE_90_POPLTN_COMALE_95_POPLTN_COMALE_100_POPLTN_COMALE_AGE_UKNWN_POPLTN_COFEMALE_00_POPLTN_COFEMALE_05_POPLTN_COFEMALE_10_POPLTN_COFEMALE_15_POPLTN_COFEMALE_20_POPLTN_COFEMALE_25_POPLTN_COSIGNGU_NMFEMALE_30_POPLTN_COFEMALE_35_POPLTN_COFEMALE_40_POPLTN_COFEMALE_45_POPLTN_COFEMALE_50_POPLTN_COFEMALE_55_POPLTN_COFEMALE_60_POPLTN_COFEMALE_65_POPLTN_COFEMALE_70_POPLTN_COFEMALE_75_POPLTN_COADSTRD_NMFEMALE_80_POPLTN_COFEMALE_85_POPLTN_COFEMALE_90_POPLTN_COFEMALE_95_POPLTN_COFEMALE_100_POPLTN_COFEMALE_AGE_UKNWN_POPLTN_CONON_SMGU_POPLTN_COTOT_POPLTN_COAVRG_AGEPOPLTN_DNAGINGINDEX# duplicates
0201511010600000000.00.00000000011110580000000000000서울0000000000종로구0000000000교남동000000000.00.00.08