Overview

Dataset statistics

Number of variables23
Number of observations5525
Missing cells31447
Missing cells (%)24.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory206.0 B

Variable types

Numeric15
Text1
Categorical6
Unsupported1

Dataset

Description기준_년분기_코드,행정동_코드,행정동_코드_명,집객시설_수,관공서_수,은행_수,종합병원_수,일반_병원_수,약국_수,유치원_수,초등학교_수,중학교_수,고등학교_수,대학교_수,백화점_수,슈퍼마켓_수,극장_수,숙박_시설_수,공항_수,철도_역_수,버스_터미널_수,지하철_역_수,버스_정거장_수
Author서울신용보증재단
URLhttps://data.seoul.go.kr/dataList/OA-22169/S/1/datasetView.do

Alerts

종합병원_수 is highly imbalanced (63.7%)Imbalance
백화점_수 is highly imbalanced (90.0%)Imbalance
공항_수 is highly imbalanced (97.0%)Imbalance
버스_터미널_수 is highly imbalanced (93.9%)Imbalance
은행_수 has 741 (13.4%) missing valuesMissing
유치원_수 has 1833 (33.2%) missing valuesMissing
초등학교_수 has 832 (15.1%) missing valuesMissing
고등학교_수 has 2834 (51.3%) missing valuesMissing
대학교_수 has 3952 (71.5%) missing valuesMissing
슈퍼마켓_수 has 4355 (78.8%) missing valuesMissing
극장_수 has 4550 (82.4%) missing valuesMissing
숙박_시설_수 has 4212 (76.2%) missing valuesMissing
철도_역_수 has 5525 (100.0%) missing valuesMissing
지하철_역_수 has 2548 (46.1%) missing valuesMissing
철도_역_수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-03 22:02:31.416091
Analysis finished2024-05-03 22:02:32.412955
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Real number (ℝ)

Distinct13
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221.077
Minimum20204
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:32.632795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20204
5-th percentile20204
Q120213
median20222
Q320231
95-th percentile20234
Maximum20234
Range30
Interquartile range (IQR)18

Descriptive statistics

Standard deviation9.327906
Coefficient of variation (CV)0.00046129621
Kurtosis-1.159963
Mean20221.077
Median Absolute Deviation (MAD)9
Skewness-0.13901782
Sum1.1172145 × 108
Variance87.009831
MonotonicityNot monotonic
2024-05-03T22:02:33.182523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20234 425
 
7.7%
20231 425
 
7.7%
20232 425
 
7.7%
20233 425
 
7.7%
20204 425
 
7.7%
20214 425
 
7.7%
20211 425
 
7.7%
20212 425
 
7.7%
20221 425
 
7.7%
20222 425
 
7.7%
Other values (3) 1275
23.1%
ValueCountFrequency (%)
20204 425
7.7%
20211 425
7.7%
20212 425
7.7%
20213 425
7.7%
20214 425
7.7%
20221 425
7.7%
20222 425
7.7%
20223 425
7.7%
20224 425
7.7%
20231 425
7.7%
ValueCountFrequency (%)
20234 425
7.7%
20233 425
7.7%
20232 425
7.7%
20231 425
7.7%
20224 425
7.7%
20223 425
7.7%
20222 425
7.7%
20221 425
7.7%
20214 425
7.7%
20213 425
7.7%

행정동_코드
Real number (ℝ)

Distinct425
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11433425
Minimum11110515
Maximum11740700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:33.766437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110515
5-th percentile11140580
Q111260655
median11440630
Q311590680
95-th percentile11710680
Maximum11740700
Range630185
Interquartile range (IQR)330025

Descriptive statistics

Standard deviation191517.93
Coefficient of variation (CV)0.016750705
Kurtosis-1.2631387
Mean11433425
Median Absolute Deviation (MAD)179940
Skewness-0.014670444
Sum6.3169672 × 1010
Variance3.6679116 × 1010
MonotonicityNot monotonic
2024-05-03T22:02:34.505262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11110515 13
 
0.2%
11590530 13
 
0.2%
11590510 13
 
0.2%
11560720 13
 
0.2%
11560710 13
 
0.2%
11560700 13
 
0.2%
11560690 13
 
0.2%
11560680 13
 
0.2%
11560670 13
 
0.2%
11560660 13
 
0.2%
Other values (415) 5395
97.6%
ValueCountFrequency (%)
11110515 13
0.2%
11110530 13
0.2%
11110540 13
0.2%
11110550 13
0.2%
11110560 13
0.2%
11110570 13
0.2%
11110580 13
0.2%
11110600 13
0.2%
11110615 13
0.2%
11110630 13
0.2%
ValueCountFrequency (%)
11740700 13
0.2%
11740690 13
0.2%
11740685 13
0.2%
11740660 13
0.2%
11740650 13
0.2%
11740640 13
0.2%
11740620 13
0.2%
11740610 13
0.2%
11740600 13
0.2%
11740590 13
0.2%

행정동_코드_명
Text

Distinct424
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-05-03T22:02:35.518567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.7882353
Min length2

Characters and Unicode

Total characters20930
Distinct characters188
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row청운효자동
2nd row사직동
3rd row삼청동
4th row부암동
5th row평창동
ValueCountFrequency (%)
신사동 26
 
0.5%
노량진1동 13
 
0.2%
대림3동 13
 
0.2%
대림2동 13
 
0.2%
대림1동 13
 
0.2%
신길7동 13
 
0.2%
신길6동 13
 
0.2%
신길5동 13
 
0.2%
신길4동 13
 
0.2%
신길3동 13
 
0.2%
Other values (414) 5382
97.4%
2024-05-03T22:02:36.860992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 5551
26.5%
1 1261
 
6.0%
2 1261
 
6.0%
3 559
 
2.7%
신 494
 
2.4%
4 338
 
1.6%
가 299
 
1.4%
곡 234
 
1.1%
계 221
 
1.1%
화 221
 
1.1%
Other values (178) 10491
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17017
81.3%
Decimal Number 3796
 
18.1%
Other Punctuation 117
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 5551
32.6%
신 494
 
2.9%
가 299
 
1.8%
곡 234
 
1.4%
계 221
 
1.3%
화 221
 
1.3%
산 208
 
1.2%
방 208
 
1.2%
상 208
 
1.2%
성 208
 
1.2%
Other values (167) 9165
53.9%
Decimal Number
ValueCountFrequency (%)
1 1261
33.2%
2 1261
33.2%
3 559
14.7%
4 338
 
8.9%
5 143
 
3.8%
6 91
 
2.4%
7 78
 
2.1%
8 39
 
1.0%
0 13
 
0.3%
9 13
 
0.3%
Other Punctuation
ValueCountFrequency (%)
? 117
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17017
81.3%
Common 3913
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 5551
32.6%
신 494
 
2.9%
가 299
 
1.8%
곡 234
 
1.4%
계 221
 
1.3%
화 221
 
1.3%
산 208
 
1.2%
방 208
 
1.2%
상 208
 
1.2%
성 208
 
1.2%
Other values (167) 9165
53.9%
Common
ValueCountFrequency (%)
1 1261
32.2%
2 1261
32.2%
3 559
14.3%
4 338
 
8.6%
5 143
 
3.7%
? 117
 
3.0%
6 91
 
2.3%
7 78
 
2.0%
8 39
 
1.0%
0 13
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17017
81.3%
ASCII 3913
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 5551
32.6%
신 494
 
2.9%
가 299
 
1.8%
곡 234
 
1.4%
계 221
 
1.3%
화 221
 
1.3%
산 208
 
1.2%
방 208
 
1.2%
상 208
 
1.2%
성 208
 
1.2%
Other values (167) 9165
53.9%
ASCII
ValueCountFrequency (%)
1 1261
32.2%
2 1261
32.2%
3 559
14.3%
4 338
 
8.6%
5 143
 
3.7%
? 117
 
3.0%
6 91
 
2.3%
7 78
 
2.0%
8 39
 
1.0%
0 13
 
0.3%

집객시설_수
Real number (ℝ)

Distinct177
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.10353
Minimum14
Maximum542
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:37.332661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile50
Q181
median111
Q3154
95-th percentile246
Maximum542
Range528
Interquartile range (IQR)73

Descriptive statistics

Standard deviation68.92678
Coefficient of variation (CV)0.54658882
Kurtosis8.2078223
Mean126.10353
Median Absolute Deviation (MAD)34
Skewness2.1730821
Sum696722
Variance4750.9009
MonotonicityNot monotonic
2024-05-03T22:02:37.933302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74 104
 
1.9%
135 104
 
1.9%
95 104
 
1.9%
94 104
 
1.9%
83 91
 
1.6%
78 91
 
1.6%
84 78
 
1.4%
63 78
 
1.4%
112 78
 
1.4%
66 78
 
1.4%
Other values (167) 4615
83.5%
ValueCountFrequency (%)
14 13
 
0.2%
24 13
 
0.2%
26 13
 
0.2%
30 13
 
0.2%
33 13
 
0.2%
34 13
 
0.2%
38 26
0.5%
42 39
0.7%
43 26
0.5%
44 13
 
0.2%
ValueCountFrequency (%)
542 26
0.5%
500 13
0.2%
399 13
0.2%
368 13
0.2%
358 13
0.2%
332 13
0.2%
325 13
0.2%
313 13
0.2%
304 13
0.2%
300 13
0.2%

관공서_수
Real number (ℝ)

Distinct20
Distinct (%)0.4%
Missing26
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean4.4349882
Minimum1
Maximum30
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:38.388565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile9
Maximum30
Range29
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.2481214
Coefficient of variation (CV)0.73238558
Kurtosis17.676402
Mean4.4349882
Median Absolute Deviation (MAD)1
Skewness3.4433624
Sum24388
Variance10.550293
MonotonicityNot monotonic
2024-05-03T22:02:38.797716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
3 1417
25.6%
4 1040
18.8%
2 858
15.5%
5 650
11.8%
6 455
 
8.2%
1 299
 
5.4%
7 286
 
5.2%
8 117
 
2.1%
9 104
 
1.9%
10 91
 
1.6%
Other values (10) 182
 
3.3%
ValueCountFrequency (%)
1 299
 
5.4%
2 858
15.5%
3 1417
25.6%
4 1040
18.8%
5 650
11.8%
6 455
 
8.2%
7 286
 
5.2%
8 117
 
2.1%
9 104
 
1.9%
10 91
 
1.6%
ValueCountFrequency (%)
30 13
 
0.2%
25 13
 
0.2%
23 13
 
0.2%
20 13
 
0.2%
19 26
0.5%
18 13
 
0.2%
15 26
0.5%
13 39
0.7%
12 13
 
0.2%
11 13
 
0.2%

은행_수
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)0.6%
Missing741
Missing (%)13.4%
Infinite0
Infinite (%)0.0%
Mean5.2771739
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:39.196225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q36
95-th percentile17
Maximum70
Range69
Interquartile range (IQR)4

Descriptive statistics

Standard deviation6.96682
Coefficient of variation (CV)1.3201801
Kurtosis28.038324
Mean5.2771739
Median Absolute Deviation (MAD)2
Skewness4.4320279
Sum25246
Variance48.536581
MonotonicityNot monotonic
2024-05-03T22:02:39.594177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 988
17.9%
3 858
15.5%
2 780
14.1%
4 533
9.6%
5 364
 
6.6%
6 325
 
5.9%
9 143
 
2.6%
7 104
 
1.9%
11 91
 
1.6%
8 91
 
1.6%
Other values (20) 507
9.2%
(Missing) 741
13.4%
ValueCountFrequency (%)
1 988
17.9%
2 780
14.1%
3 858
15.5%
4 533
9.6%
5 364
 
6.6%
6 325
 
5.9%
7 104
 
1.9%
8 91
 
1.6%
9 143
 
2.6%
10 65
 
1.2%
ValueCountFrequency (%)
70 13
 
0.2%
49 13
 
0.2%
46 13
 
0.2%
35 13
 
0.2%
30 13
 
0.2%
29 13
 
0.2%
26 39
0.7%
25 26
0.5%
24 13
 
0.2%
23 13
 
0.2%

종합병원_수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
<NA>
4849 
1
637 
2
 
39

Length

Max length4
Median length4
Mean length3.6329412
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 4849
87.8%
1 637
 
11.5%
2 39
 
0.7%

Length

2024-05-03T22:02:40.093484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:02:40.431937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4849
87.8%
1 637
 
11.5%
2 39
 
0.7%

일반_병원_수
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
<NA>
3744 
1
1157 
2
377 
4
 
117
3
 
91

Length

Max length4
Median length4
Mean length3.0329412
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row1
4th row<NA>
5th row1

Common Values

ValueCountFrequency (%)
<NA> 3744
67.8%
1 1157
 
20.9%
2 377
 
6.8%
4 117
 
2.1%
3 91
 
1.6%
5 39
 
0.7%

Length

2024-05-03T22:02:40.758394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:02:41.087689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3744
67.8%
1 1157
 
20.9%
2 377
 
6.8%
4 117
 
2.1%
3 91
 
1.6%
5 39
 
0.7%

약국_수
Real number (ℝ)

Distinct39
Distinct (%)0.7%
Missing26
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean11.659574
Minimum1
Maximum64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:41.533320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q16
median10
Q314
95-th percentile26
Maximum64
Range63
Interquartile range (IQR)8

Descriptive statistics

Standard deviation7.6020129
Coefficient of variation (CV)0.65199746
Kurtosis7.2673912
Mean11.659574
Median Absolute Deviation (MAD)4
Skewness1.9584542
Sum64116
Variance57.790601
MonotonicityNot monotonic
2024-05-03T22:02:42.383932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
5 403
 
7.3%
14 403
 
7.3%
11 390
 
7.1%
10 377
 
6.8%
6 364
 
6.6%
7 364
 
6.6%
12 351
 
6.4%
8 312
 
5.6%
9 299
 
5.4%
13 260
 
4.7%
Other values (29) 1976
35.8%
ValueCountFrequency (%)
1 117
 
2.1%
2 130
 
2.4%
3 169
3.1%
4 221
4.0%
5 403
7.3%
6 364
6.6%
7 364
6.6%
8 312
5.6%
9 299
5.4%
10 377
6.8%
ValueCountFrequency (%)
64 13
 
0.2%
47 13
 
0.2%
44 13
 
0.2%
42 13
 
0.2%
37 13
 
0.2%
36 13
 
0.2%
35 13
 
0.2%
34 13
 
0.2%
33 13
 
0.2%
31 39
0.7%

유치원_수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.2%
Missing1833
Missing (%)33.2%
Infinite0
Infinite (%)0.0%
Mean1.8732394
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:42.836430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0738986
Coefficient of variation (CV)0.57328422
Kurtosis2.1550632
Mean1.8732394
Median Absolute Deviation (MAD)1
Skewness1.4144435
Sum6916
Variance1.1532582
MonotonicityNot monotonic
2024-05-03T22:02:43.220685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 1768
32.0%
2 1040
18.8%
3 624
 
11.3%
4 156
 
2.8%
6 52
 
0.9%
5 52
 
0.9%
(Missing) 1833
33.2%
ValueCountFrequency (%)
1 1768
32.0%
2 1040
18.8%
3 624
 
11.3%
4 156
 
2.8%
5 52
 
0.9%
6 52
 
0.9%
ValueCountFrequency (%)
6 52
 
0.9%
5 52
 
0.9%
4 156
 
2.8%
3 624
 
11.3%
2 1040
18.8%
1 1768
32.0%

초등학교_수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.1%
Missing832
Missing (%)15.1%
Infinite0
Infinite (%)0.0%
Mean1.6648199
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:43.595776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile3
Maximum6
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.82632541
Coefficient of variation (CV)0.49634521
Kurtosis2.2910677
Mean1.6648199
Median Absolute Deviation (MAD)0
Skewness1.3382216
Sum7813
Variance0.68281368
MonotonicityNot monotonic
2024-05-03T22:02:44.159225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 2431
44.0%
2 1573
28.5%
3 559
 
10.1%
4 104
 
1.9%
6 13
 
0.2%
5 13
 
0.2%
(Missing) 832
 
15.1%
ValueCountFrequency (%)
1 2431
44.0%
2 1573
28.5%
3 559
 
10.1%
4 104
 
1.9%
5 13
 
0.2%
6 13
 
0.2%
ValueCountFrequency (%)
6 13
 
0.2%
5 13
 
0.2%
4 104
 
1.9%
3 559
 
10.1%
2 1573
28.5%
1 2431
44.0%

중학교_수
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
<NA>
2236 
1
2171 
2
884 
3
 
169
4
 
65

Length

Max length4
Median length1
Mean length2.2141176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row<NA>
3rd row1
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 2236
40.5%
1 2171
39.3%
2 884
 
16.0%
3 169
 
3.1%
4 65
 
1.2%

Length

2024-05-03T22:02:44.590410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:02:44.967450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2236
40.5%
1 2171
39.3%
2 884
 
16.0%
3 169
 
3.1%
4 65
 
1.2%

고등학교_수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.3%
Missing2834
Missing (%)51.3%
Infinite0
Infinite (%)0.0%
Mean1.589372
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:45.404647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.0360161
Coefficient of variation (CV)0.65183992
Kurtosis8.4439104
Mean1.589372
Median Absolute Deviation (MAD)0
Skewness2.5005129
Sum4277
Variance1.0733294
MonotonicityNot monotonic
2024-05-03T22:02:45.954501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1755
31.8%
2 559
 
10.1%
3 208
 
3.8%
4 117
 
2.1%
5 26
 
0.5%
6 13
 
0.2%
8 13
 
0.2%
(Missing) 2834
51.3%
ValueCountFrequency (%)
1 1755
31.8%
2 559
 
10.1%
3 208
 
3.8%
4 117
 
2.1%
5 26
 
0.5%
6 13
 
0.2%
8 13
 
0.2%
ValueCountFrequency (%)
8 13
 
0.2%
6 13
 
0.2%
5 26
 
0.5%
4 117
 
2.1%
3 208
 
3.8%
2 559
 
10.1%
1 1755
31.8%

대학교_수
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)2.0%
Missing3952
Missing (%)71.5%
Infinite0
Infinite (%)0.0%
Mean10.363636
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:46.508496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q312
95-th percentile37
Maximum140
Range139
Interquartile range (IQR)11

Descriptive statistics

Standard deviation19.260832
Coefficient of variation (CV)1.8585013
Kurtosis21.374868
Mean10.363636
Median Absolute Deviation (MAD)2
Skewness4.2016226
Sum16302
Variance370.97964
MonotonicityNot monotonic
2024-05-03T22:02:47.027590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 533
 
9.6%
2 195
 
3.5%
4 117
 
2.1%
3 104
 
1.9%
11 65
 
1.2%
5 52
 
0.9%
12 52
 
0.9%
8 39
 
0.7%
14 39
 
0.7%
17 26
 
0.5%
Other values (22) 351
 
6.4%
(Missing) 3952
71.5%
ValueCountFrequency (%)
1 533
9.6%
2 195
 
3.5%
3 104
 
1.9%
4 117
 
2.1%
5 52
 
0.9%
6 13
 
0.2%
7 13
 
0.2%
8 39
 
0.7%
9 13
 
0.2%
10 13
 
0.2%
ValueCountFrequency (%)
140 13
0.2%
109 13
0.2%
71 13
0.2%
64 13
0.2%
52 13
0.2%
37 26
0.5%
34 13
0.2%
30 13
0.2%
28 13
0.2%
27 26
0.5%

백화점_수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
<NA>
5408 
1
 
104
2
 
13

Length

Max length4
Median length4
Mean length3.9364706
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5408
97.9%
1 104
 
1.9%
2 13
 
0.2%

Length

2024-05-03T22:02:47.545153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:02:48.148160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5408
97.9%
1 104
 
1.9%
2 13
 
0.2%

슈퍼마켓_수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.8%
Missing4355
Missing (%)78.8%
Infinite0
Infinite (%)0.0%
Mean1.9777778
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:48.430612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile7
Maximum13
Range12
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.0007317
Coefficient of variation (CV)1.0116059
Kurtosis11.421931
Mean1.9777778
Median Absolute Deviation (MAD)0
Skewness3.1601902
Sum2314
Variance4.0029275
MonotonicityNot monotonic
2024-05-03T22:02:48.775173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 741
 
13.4%
2 195
 
3.5%
3 91
 
1.6%
4 65
 
1.2%
8 26
 
0.5%
5 13
 
0.2%
13 13
 
0.2%
9 13
 
0.2%
7 13
 
0.2%
(Missing) 4355
78.8%
ValueCountFrequency (%)
1 741
13.4%
2 195
 
3.5%
3 91
 
1.6%
4 65
 
1.2%
5 13
 
0.2%
7 13
 
0.2%
8 26
 
0.5%
9 13
 
0.2%
13 13
 
0.2%
ValueCountFrequency (%)
13 13
 
0.2%
9 13
 
0.2%
8 26
 
0.5%
7 13
 
0.2%
5 13
 
0.2%
4 65
 
1.2%
3 91
 
1.6%
2 195
 
3.5%
1 741
13.4%

극장_수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)0.6%
Missing4550
Missing (%)82.4%
Infinite0
Infinite (%)0.0%
Mean1.56
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:49.334038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum8
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1921371
Coefficient of variation (CV)0.76419048
Kurtosis10.791889
Mean1.56
Median Absolute Deviation (MAD)0
Skewness2.98348
Sum1521
Variance1.421191
MonotonicityNot monotonic
2024-05-03T22:02:49.754360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 715
 
12.9%
3 104
 
1.9%
2 104
 
1.9%
5 26
 
0.5%
4 13
 
0.2%
8 13
 
0.2%
(Missing) 4550
82.4%
ValueCountFrequency (%)
1 715
12.9%
2 104
 
1.9%
3 104
 
1.9%
4 13
 
0.2%
5 26
 
0.5%
8 13
 
0.2%
ValueCountFrequency (%)
8 13
 
0.2%
5 26
 
0.5%
4 13
 
0.2%
3 104
 
1.9%
2 104
 
1.9%
1 715
12.9%

숙박_시설_수
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)1.1%
Missing4212
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean3.4851485
Minimum1
Maximum23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:50.141764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile16
Maximum23
Range22
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.5148772
Coefficient of variation (CV)1.2954619
Kurtosis5.4293974
Mean3.4851485
Median Absolute Deviation (MAD)1
Skewness2.4599231
Sum4576
Variance20.384116
MonotonicityNot monotonic
2024-05-03T22:02:50.596023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 598
 
10.8%
2 247
 
4.5%
3 182
 
3.3%
5 65
 
1.2%
12 39
 
0.7%
4 39
 
0.7%
17 26
 
0.5%
7 26
 
0.5%
16 26
 
0.5%
11 13
 
0.2%
Other values (4) 52
 
0.9%
(Missing) 4212
76.2%
ValueCountFrequency (%)
1 598
10.8%
2 247
4.5%
3 182
 
3.3%
4 39
 
0.7%
5 65
 
1.2%
6 13
 
0.2%
7 26
 
0.5%
11 13
 
0.2%
12 39
 
0.7%
14 13
 
0.2%
ValueCountFrequency (%)
23 13
 
0.2%
19 13
 
0.2%
17 26
 
0.5%
16 26
 
0.5%
14 13
 
0.2%
12 39
0.7%
11 13
 
0.2%
7 26
 
0.5%
6 13
 
0.2%
5 65
1.2%

공항_수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
<NA>
5499 
21
 
13
4
 
13

Length

Max length4
Median length4
Mean length3.9882353
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5499
99.5%
21 13
 
0.2%
4 13
 
0.2%

Length

2024-05-03T22:02:51.196235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:02:51.517822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5499
99.5%
21 13
 
0.2%
4 13
 
0.2%

철도_역_수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5525
Missing (%)100.0%
Memory size48.7 KiB

버스_터미널_수
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
<NA>
5486 
1
 
39

Length

Max length4
Median length4
Mean length3.9788235
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 5486
99.3%
1 39
 
0.7%

Length

2024-05-03T22:02:51.847552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T22:02:52.152461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 5486
99.3%
1 39
 
0.7%

지하철_역_수
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)0.2%
Missing2548
Missing (%)46.1%
Infinite0
Infinite (%)0.0%
Mean1.7336245
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:52.479629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile4
Maximum7
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.1152903
Coefficient of variation (CV)0.64332864
Kurtosis4.7398415
Mean1.7336245
Median Absolute Deviation (MAD)0
Skewness1.9941612
Sum5161
Variance1.2438724
MonotonicityNot monotonic
2024-05-03T22:02:52.848085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1 1729
31.3%
2 676
 
12.2%
3 377
 
6.8%
4 91
 
1.6%
5 65
 
1.2%
7 26
 
0.5%
6 13
 
0.2%
(Missing) 2548
46.1%
ValueCountFrequency (%)
1 1729
31.3%
2 676
 
12.2%
3 377
 
6.8%
4 91
 
1.6%
5 65
 
1.2%
6 13
 
0.2%
7 26
 
0.5%
ValueCountFrequency (%)
7 26
 
0.5%
6 13
 
0.2%
5 65
 
1.2%
4 91
 
1.6%
3 377
 
6.8%
2 676
 
12.2%
1 1729
31.3%

버스_정거장_수
Real number (ℝ)

Distinct76
Distinct (%)1.4%
Missing13
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean30.063679
Minimum3
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-03T22:02:53.359221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile7
Q117
median27
Q338
95-th percentile64
Maximum111
Range108
Interquartile range (IQR)21

Descriptive statistics

Standard deviation17.800629
Coefficient of variation (CV)0.59209749
Kurtosis2.4204134
Mean30.063679
Median Absolute Deviation (MAD)11
Skewness1.3226787
Sum165711
Variance316.86239
MonotonicityNot monotonic
2024-05-03T22:02:54.009021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 208
 
3.8%
30 195
 
3.5%
13 182
 
3.3%
15 169
 
3.1%
38 169
 
3.1%
18 169
 
3.1%
12 169
 
3.1%
32 156
 
2.8%
22 156
 
2.8%
25 143
 
2.6%
Other values (66) 3796
68.7%
ValueCountFrequency (%)
3 13
 
0.2%
4 26
 
0.5%
5 65
 
1.2%
6 104
1.9%
7 78
1.4%
8 52
 
0.9%
9 13
 
0.2%
10 52
 
0.9%
11 143
2.6%
12 169
3.1%
ValueCountFrequency (%)
111 13
0.2%
104 13
0.2%
95 13
0.2%
91 13
0.2%
88 13
0.2%
86 26
0.5%
85 13
0.2%
83 13
0.2%
81 26
0.5%
79 13
0.2%

Sample

기준_년분기_코드행정동_코드행정동_코드_명집객시설_수관공서_수은행_수종합병원_수일반_병원_수약국_수유치원_수초등학교_수중학교_수고등학교_수대학교_수백화점_수슈퍼마켓_수극장_수숙박_시설_수공항_수철도_역_수버스_터미널_수지하철_역_수버스_정거장_수
02023411110515청운효자동9363<NA><NA>411228<NA><NA><NA><NA><NA><NA><NA><NA>26
12023411110530사직동2061824<NA><NA>15<NA>1<NA>11<NA><NA>3<NA><NA><NA><NA>234
22023411110540삼청동49104<NA>11<NA><NA>112<NA><NA><NA><NA><NA><NA><NA><NA>16
32023411110550부암동8442<NA><NA>1121114<NA><NA><NA><NA><NA><NA><NA><NA>38
42023411110560평창동16262<NA>151<NA><NA>12<NA><NA><NA><NA><NA><NA><NA><NA>91
52023411110570무악동42211<NA>411<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>17
62023411110580교남동78432<NA>17<NA><NA><NA>11<NA><NA><NA><NA><NA><NA><NA><NA>26
72023411110600가회동6353<NA><NA>111121<NA><NA><NA><NA><NA><NA><NA><NA>22
82023411110615종로1?2?3?4가동5001935<NA><NA>4712<NA><NA>4<NA>1517<NA><NA><NA>572
92023411110630종로5?6가동21278<NA><NA>31<NA>1<NA><NA>1<NA>4<NA>3<NA><NA><NA>123
기준_년분기_코드행정동_코드행정동_코드_명집객시설_수관공서_수은행_수종합병원_수일반_병원_수약국_수유치원_수초등학교_수중학교_수고등학교_수대학교_수백화점_수슈퍼마켓_수극장_수숙박_시설_수공항_수철도_역_수버스_터미널_수지하철_역_수버스_정거장_수
55152023211380690진관동24266<NA><NA>226624<NA><NA><NA>1<NA><NA><NA><NA>181
55162023211410620홍제1동13532<NA><NA>1022<NA><NA>1<NA><NA><NA>1<NA><NA><NA>140
55172023211410655홍제2동561<NA><NA><NA>63<NA><NA><NA><NA><NA><NA><NA>1<NA><NA><NA><NA>15
55182023211410690남가좌1동9423<NA>19<NA>1<NA><NA><NA><NA>1<NA>1<NA><NA><NA>120
55192023211410700남가좌2동11744<NA><NA>12411<NA>8<NA><NA><NA><NA><NA><NA><NA><NA>24
55202023211440585도화동14447<NA><NA>1521<NA><NA><NA><NA><NA>11<NA><NA><NA>138
55212023211470520목2동9732<NA>11331<NA><NA><NA><NA><NA><NA>1<NA><NA><NA>118
55222023211320660쌍문1동12661<NA>1413<NA>117<NA><NA><NA><NA><NA><NA><NA><NA>54
55232023211320670쌍문2동8731<NA>110111<NA><NA><NA><NA><NA>2<NA><NA><NA><NA>19
55242023211500604가양2동7543<NA><NA>73111<NA><NA><NA><NA><NA><NA><NA><NA>114