Overview

Dataset statistics

Number of variables23
Number of observations325
Missing cells364
Missing cells (%)4.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.5 KiB
Average record size in memory206.4 B

Variable types

Numeric17
Categorical5
Unsupported1

Dataset

Description기준_년분기_코드,자치구_코드,자치구_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-22170/S/1/datasetView.do

Alerts

공항_수 is highly imbalanced (75.8%)Imbalance
슈퍼마켓_수 has 13 (4.0%) missing valuesMissing
숙박_시설_수 has 26 (8.0%) missing valuesMissing
철도_역_수 has 325 (100.0%) missing valuesMissing
철도_역_수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-03 23:22:58.094599
Analysis finished2024-05-03 23:22:58.348514
Duration0.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Real number (ℝ)

Distinct13
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20221.077
Minimum20204
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:22:58.482855image/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 deviation9.3414444
Coefficient of variation (CV)0.00046196572
Kurtosis-1.1593539
Mean20221.077
Median Absolute Deviation (MAD)9
Skewness-0.13962533
Sum6571850
Variance87.262583
MonotonicityNot monotonic
2024-05-03T23:22:58.896779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
20231 25
 
7.7%
20234 25
 
7.7%
20232 25
 
7.7%
20233 25
 
7.7%
20224 25
 
7.7%
20223 25
 
7.7%
20222 25
 
7.7%
20221 25
 
7.7%
20214 25
 
7.7%
20213 25
 
7.7%
Other values (3) 75
23.1%
ValueCountFrequency (%)
20204 25
7.7%
20211 25
7.7%
20212 25
7.7%
20213 25
7.7%
20214 25
7.7%
20221 25
7.7%
20222 25
7.7%
20223 25
7.7%
20224 25
7.7%
20231 25
7.7%
ValueCountFrequency (%)
20234 25
7.7%
20233 25
7.7%
20232 25
7.7%
20231 25
7.7%
20224 25
7.7%
20223 25
7.7%
20222 25
7.7%
20221 25
7.7%
20214 25
7.7%
20213 25
7.7%

자치구_코드
Real number (ℝ)

Distinct25
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11416.6
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:22:59.244434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11140
Q111260
median11410
Q311560
95-th percentile11710
Maximum11740
Range630
Interquartile range (IQR)300

Descriptive statistics

Standard deviation186.62961
Coefficient of variation (CV)0.016347215
Kurtosis-1.2006291
Mean11416.6
Median Absolute Deviation (MAD)150
Skewness0.078438018
Sum3710395
Variance34830.611
MonotonicityNot monotonic
2024-05-03T23:22:59.602072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11110 13
 
4.0%
11140 13
 
4.0%
11680 13
 
4.0%
11740 13
 
4.0%
11650 13
 
4.0%
11590 13
 
4.0%
11545 13
 
4.0%
11410 13
 
4.0%
11380 13
 
4.0%
11200 13
 
4.0%
Other values (15) 195
60.0%
ValueCountFrequency (%)
11110 13
4.0%
11140 13
4.0%
11170 13
4.0%
11200 13
4.0%
11215 13
4.0%
11230 13
4.0%
11260 13
4.0%
11290 13
4.0%
11305 13
4.0%
11320 13
4.0%
ValueCountFrequency (%)
11740 13
4.0%
11710 13
4.0%
11680 13
4.0%
11650 13
4.0%
11620 13
4.0%
11590 13
4.0%
11560 13
4.0%
11545 13
4.0%
11530 13
4.0%
11500 13
4.0%

자치구_코드_명
Categorical

Distinct25
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
종로구
 
13
중구
 
13
용산구
 
13
광진구
 
13
동대문구
 
13
Other values (20)
260 

Length

Max length4
Median length3
Mean length3.08
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종로구
2nd row중구
3rd row용산구
4th row광진구
5th row동대문구

Common Values

ValueCountFrequency (%)
종로구 13
 
4.0%
중구 13
 
4.0%
용산구 13
 
4.0%
광진구 13
 
4.0%
동대문구 13
 
4.0%
중랑구 13
 
4.0%
성북구 13
 
4.0%
강북구 13
 
4.0%
도봉구 13
 
4.0%
노원구 13
 
4.0%
Other values (15) 195
60.0%

Length

2024-05-03T23:23:00.041810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
종로구 13
 
4.0%
구로구 13
 
4.0%
강동구 13
 
4.0%
서초구 13
 
4.0%
동작구 13
 
4.0%
금천구 13
 
4.0%
서대문구 13
 
4.0%
은평구 13
 
4.0%
성동구 13
 
4.0%
송파구 13
 
4.0%
Other values (15) 195
60.0%

집객시설_수
Real number (ℝ)

Distinct25
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2143.76
Minimum1320
Maximum4084
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:00.464665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1320
5-th percentile1432
Q11840
median2063
Q32380
95-th percentile2810
Maximum4084
Range2764
Interquartile range (IQR)540

Descriptive statistics

Standard deviation560.83243
Coefficient of variation (CV)0.26161158
Kurtosis3.4745556
Mean2143.76
Median Absolute Deviation (MAD)301
Skewness1.5081801
Sum696722
Variance314533.02
MonotonicityNot monotonic
2024-05-03T23:23:00.838767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2058 13
 
4.0%
2071 13
 
4.0%
4084 13
 
4.0%
2063 13
 
4.0%
2779 13
 
4.0%
1934 13
 
4.0%
1320 13
 
4.0%
1909 13
 
4.0%
2144 13
 
4.0%
1693 13
 
4.0%
Other values (15) 195
60.0%
ValueCountFrequency (%)
1320 13
4.0%
1432 13
4.0%
1504 13
4.0%
1602 13
4.0%
1693 13
4.0%
1762 13
4.0%
1840 13
4.0%
1843 13
4.0%
1909 13
4.0%
1934 13
4.0%
ValueCountFrequency (%)
4084 13
4.0%
2810 13
4.0%
2779 13
4.0%
2714 13
4.0%
2586 13
4.0%
2400 13
4.0%
2380 13
4.0%
2255 13
4.0%
2232 13
4.0%
2192 13
4.0%

관공서_수
Real number (ℝ)

Distinct22
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.04
Minimum42
Maximum125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:01.360848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile48
Q162
median68
Q389
95-th percentile112
Maximum125
Range83
Interquartile range (IQR)27

Descriptive statistics

Standard deviation21.028529
Coefficient of variation (CV)0.28023092
Kurtosis-0.43872801
Mean75.04
Median Absolute Deviation (MAD)13
Skewness0.64514185
Sum24388
Variance442.19901
MonotonicityNot monotonic
2024-05-03T23:23:01.735812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
62 26
 
8.0%
63 26
 
8.0%
65 26
 
8.0%
106 13
 
4.0%
76 13
 
4.0%
112 13
 
4.0%
98 13
 
4.0%
42 13
 
4.0%
52 13
 
4.0%
68 13
 
4.0%
Other values (12) 156
48.0%
ValueCountFrequency (%)
42 13
4.0%
48 13
4.0%
52 13
4.0%
54 13
4.0%
58 13
4.0%
59 13
4.0%
62 26
8.0%
63 26
8.0%
65 26
8.0%
68 13
4.0%
ValueCountFrequency (%)
125 13
4.0%
112 13
4.0%
106 13
4.0%
99 13
4.0%
98 13
4.0%
97 13
4.0%
89 13
4.0%
86 13
4.0%
81 13
4.0%
77 13
4.0%

은행_수
Real number (ℝ)

Distinct22
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.68
Minimum25
Maximum292
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:02.104778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile27
Q147
median54
Q386
95-th percentile173
Maximum292
Range267
Interquartile range (IQR)39

Descriptive statistics

Standard deviation58.545401
Coefficient of variation (CV)0.75367406
Kurtosis4.8724958
Mean77.68
Median Absolute Deviation (MAD)12
Skewness2.1683444
Sum25246
Variance3427.564
MonotonicityNot monotonic
2024-05-03T23:23:02.518555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
49 26
 
8.0%
47 26
 
8.0%
54 26
 
8.0%
103 13
 
4.0%
62 13
 
4.0%
292 13
 
4.0%
56 13
 
4.0%
173 13
 
4.0%
38 13
 
4.0%
130 13
 
4.0%
Other values (12) 156
48.0%
ValueCountFrequency (%)
25 13
4.0%
27 13
4.0%
30 13
4.0%
38 13
4.0%
40 13
4.0%
47 26
8.0%
49 26
8.0%
50 13
4.0%
51 13
4.0%
54 26
8.0%
ValueCountFrequency (%)
292 13
4.0%
173 13
4.0%
151 13
4.0%
137 13
4.0%
130 13
4.0%
103 13
4.0%
86 13
4.0%
66 13
4.0%
65 13
4.0%
62 13
4.0%

종합병원_수
Categorical

Distinct6
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
2
104 
1
104 
3
52 
4
39 
<NA>
13 

Length

Max length4
Median length1
Mean length1.12
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row2
3rd row1
4th row2
5th row4

Common Values

ValueCountFrequency (%)
2 104
32.0%
1 104
32.0%
3 52
16.0%
4 39
 
12.0%
<NA> 13
 
4.0%
7 13
 
4.0%

Length

2024-05-03T23:23:02.978894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:23:03.330160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 104
32.0%
1 104
32.0%
3 52
16.0%
4 39
 
12.0%
na 13
 
4.0%
7 13
 
4.0%

일반_병원_수
Real number (ℝ)

Distinct11
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.76
Minimum2
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:03.651572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q15
median7
Q311
95-th percentile15
Maximum33
Range31
Interquartile range (IQR)6

Descriptive statistics

Standard deviation6.3487337
Coefficient of variation (CV)0.72474129
Kurtosis5.9845672
Mean8.76
Median Absolute Deviation (MAD)2
Skewness2.1853384
Sum2847
Variance40.30642
MonotonicityNot monotonic
2024-05-03T23:23:03.992884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 65
20.0%
8 52
16.0%
15 39
12.0%
3 26
 
8.0%
2 26
 
8.0%
6 26
 
8.0%
7 26
 
8.0%
11 26
 
8.0%
14 13
 
4.0%
12 13
 
4.0%
ValueCountFrequency (%)
2 26
 
8.0%
3 26
 
8.0%
5 65
20.0%
6 26
 
8.0%
7 26
 
8.0%
8 52
16.0%
11 26
 
8.0%
12 13
 
4.0%
14 13
 
4.0%
15 39
12.0%
ValueCountFrequency (%)
33 13
 
4.0%
15 39
12.0%
14 13
 
4.0%
12 13
 
4.0%
11 26
 
8.0%
8 52
16.0%
7 26
 
8.0%
6 26
 
8.0%
5 65
20.0%
3 26
 
8.0%

약국_수
Real number (ℝ)

Distinct22
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.28
Minimum116
Maximum427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:04.324242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum116
5-th percentile116
Q1162
median184
Q3208
95-th percentile360
Maximum427
Range311
Interquartile range (IQR)46

Descriptive statistics

Standard deviation69.2601
Coefficient of variation (CV)0.35107512
Kurtosis3.4627666
Mean197.28
Median Absolute Deviation (MAD)24
Skewness1.7838201
Sum64116
Variance4796.9615
MonotonicityNot monotonic
2024-05-03T23:23:04.691878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
175 26
 
8.0%
116 26
 
8.0%
162 26
 
8.0%
360 13
 
4.0%
427 13
 
4.0%
225 13
 
4.0%
241 13
 
4.0%
188 13
 
4.0%
119 13
 
4.0%
139 13
 
4.0%
Other values (12) 156
48.0%
ValueCountFrequency (%)
116 26
8.0%
119 13
4.0%
139 13
4.0%
144 13
4.0%
159 13
4.0%
162 26
8.0%
169 13
4.0%
172 13
4.0%
175 26
8.0%
184 13
4.0%
ValueCountFrequency (%)
427 13
4.0%
360 13
4.0%
248 13
4.0%
247 13
4.0%
241 13
4.0%
225 13
4.0%
208 13
4.0%
206 13
4.0%
205 13
4.0%
198 13
4.0%

유치원_수
Real number (ℝ)

Distinct17
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.28
Minimum4
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:04.991100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile10
Q116
median20
Q328
95-th percentile35
Maximum39
Range35
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.102557
Coefficient of variation (CV)0.42775174
Kurtosis-0.88613833
Mean21.28
Median Absolute Deviation (MAD)8
Skewness0.19108869
Sum6916
Variance82.856543
MonotonicityNot monotonic
2024-05-03T23:23:05.352405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
16 39
12.0%
10 26
 
8.0%
18 26
 
8.0%
23 26
 
8.0%
33 26
 
8.0%
20 26
 
8.0%
12 26
 
8.0%
34 13
 
4.0%
28 13
 
4.0%
25 13
 
4.0%
Other values (7) 91
28.0%
ValueCountFrequency (%)
4 13
 
4.0%
10 26
8.0%
11 13
 
4.0%
12 26
8.0%
16 39
12.0%
18 26
8.0%
19 13
 
4.0%
20 26
8.0%
23 26
8.0%
25 13
 
4.0%
ValueCountFrequency (%)
39 13
4.0%
35 13
4.0%
34 13
4.0%
33 26
8.0%
31 13
4.0%
28 13
4.0%
26 13
4.0%
25 13
4.0%
23 26
8.0%
20 26
8.0%

초등학교_수
Real number (ℝ)

Distinct16
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.04
Minimum12
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:05.693928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile12
Q121
median24
Q325
95-th percentile40
Maximum41
Range29
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.4113027
Coefficient of variation (CV)0.30829046
Kurtosis0.1563128
Mean24.04
Median Absolute Deviation (MAD)3
Skewness0.54255063
Sum7813
Variance54.927407
MonotonicityNot monotonic
2024-05-03T23:23:06.098540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
24 65
20.0%
22 26
 
8.0%
21 26
 
8.0%
23 26
 
8.0%
12 26
 
8.0%
25 26
 
8.0%
13 13
 
4.0%
30 13
 
4.0%
33 13
 
4.0%
20 13
 
4.0%
Other values (6) 78
24.0%
ValueCountFrequency (%)
12 26
 
8.0%
13 13
 
4.0%
15 13
 
4.0%
19 13
 
4.0%
20 13
 
4.0%
21 26
 
8.0%
22 26
 
8.0%
23 26
 
8.0%
24 65
20.0%
25 26
 
8.0%
ValueCountFrequency (%)
41 13
 
4.0%
40 13
 
4.0%
35 13
 
4.0%
33 13
 
4.0%
30 13
 
4.0%
29 13
 
4.0%
25 26
 
8.0%
24 65
20.0%
23 26
 
8.0%
22 26
 
8.0%

중학교_수
Real number (ℝ)

Distinct14
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.48
Minimum8
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:06.439685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile9
Q111
median13
Q317
95-th percentile26
Maximum27
Range19
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0525388
Coefficient of variation (CV)0.34893224
Kurtosis0.28301102
Mean14.48
Median Absolute Deviation (MAD)2
Skewness1.0307385
Sum4706
Variance25.528148
MonotonicityNot monotonic
2024-05-03T23:23:06.900324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
12 65
20.0%
9 39
12.0%
14 39
12.0%
11 26
 
8.0%
20 26
 
8.0%
15 26
 
8.0%
8 13
 
4.0%
26 13
 
4.0%
18 13
 
4.0%
13 13
 
4.0%
Other values (4) 52
16.0%
ValueCountFrequency (%)
8 13
 
4.0%
9 39
12.0%
10 13
 
4.0%
11 26
 
8.0%
12 65
20.0%
13 13
 
4.0%
14 39
12.0%
15 26
 
8.0%
17 13
 
4.0%
18 13
 
4.0%
ValueCountFrequency (%)
27 13
 
4.0%
26 13
 
4.0%
22 13
 
4.0%
20 26
 
8.0%
18 13
 
4.0%
17 13
 
4.0%
15 26
 
8.0%
14 39
12.0%
13 13
 
4.0%
12 65
20.0%

고등학교_수
Real number (ℝ)

Distinct14
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.16
Minimum5
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:07.331623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile7
Q110
median13
Q314
95-th percentile23
Maximum26
Range21
Interquartile range (IQR)4

Descriptive statistics

Standard deviation5.2362931
Coefficient of variation (CV)0.39789461
Kurtosis0.093020551
Mean13.16
Median Absolute Deviation (MAD)3
Skewness0.86211096
Sum4277
Variance27.418765
MonotonicityNot monotonic
2024-05-03T23:23:07.679430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
14 65
20.0%
10 52
16.0%
8 39
12.0%
13 26
 
8.0%
23 26
 
8.0%
12 13
 
4.0%
7 13
 
4.0%
26 13
 
4.0%
15 13
 
4.0%
9 13
 
4.0%
Other values (4) 52
16.0%
ValueCountFrequency (%)
5 13
 
4.0%
7 13
 
4.0%
8 39
12.0%
9 13
 
4.0%
10 52
16.0%
11 13
 
4.0%
12 13
 
4.0%
13 26
 
8.0%
14 65
20.0%
15 13
 
4.0%
ValueCountFrequency (%)
26 13
 
4.0%
23 26
 
8.0%
20 13
 
4.0%
18 13
 
4.0%
15 13
 
4.0%
14 65
20.0%
13 26
 
8.0%
12 13
 
4.0%
11 13
 
4.0%
10 52
16.0%

대학교_수
Real number (ℝ)

Distinct23
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.16
Minimum1
Maximum181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:08.031925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median29
Q369
95-th percentile180
Maximum181
Range180
Interquartile range (IQR)60

Descriptive statistics

Standard deviation54.191239
Coefficient of variation (CV)1.0803676
Kurtosis0.59957769
Mean50.16
Median Absolute Deviation (MAD)23
Skewness1.3223584
Sum16302
Variance2936.6904
MonotonicityNot monotonic
2024-05-03T23:23:08.488797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
14 26
 
8.0%
29 26
 
8.0%
97 13
 
4.0%
4 13
 
4.0%
9 13
 
4.0%
6 13
 
4.0%
36 13
 
4.0%
45 13
 
4.0%
1 13
 
4.0%
181 13
 
4.0%
Other values (13) 169
52.0%
ValueCountFrequency (%)
1 13
4.0%
2 13
4.0%
4 13
4.0%
5 13
4.0%
6 13
4.0%
8 13
4.0%
9 13
4.0%
14 26
8.0%
19 13
4.0%
20 13
4.0%
ValueCountFrequency (%)
181 13
4.0%
180 13
4.0%
157 13
4.0%
114 13
4.0%
97 13
4.0%
80 13
4.0%
69 13
4.0%
53 13
4.0%
50 13
4.0%
45 13
4.0%

백화점_수
Categorical

Distinct3
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
247 
1
65 
5
 
13

Length

Max length4
Median length4
Mean length3.28
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 247
76.0%
1 65
 
20.0%
5 13
 
4.0%

Length

2024-05-03T23:23:08.877488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:23:09.169315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 247
76.0%
1 65
 
20.0%
5 13
 
4.0%

슈퍼마켓_수
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)3.8%
Missing13
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean7.4166667
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:09.454292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12.75
median4.5
Q37
95-th percentile26
Maximum40
Range39
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation8.9489142
Coefficient of variation (CV)1.2065952
Kurtosis5.5398071
Mean7.4166667
Median Absolute Deviation (MAD)2.5
Skewness2.458946
Sum2314
Variance80.083065
MonotonicityNot monotonic
2024-05-03T23:23:09.788153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 52
16.0%
7 39
12.0%
5 39
12.0%
2 39
12.0%
1 39
12.0%
3 26
8.0%
8 13
 
4.0%
21 13
 
4.0%
40 13
 
4.0%
26 13
 
4.0%
Other values (2) 26
8.0%
ValueCountFrequency (%)
1 39
12.0%
2 39
12.0%
3 26
8.0%
4 52
16.0%
5 39
12.0%
6 13
 
4.0%
7 39
12.0%
8 13
 
4.0%
10 13
 
4.0%
21 13
 
4.0%
ValueCountFrequency (%)
40 13
 
4.0%
26 13
 
4.0%
21 13
 
4.0%
10 13
 
4.0%
8 13
 
4.0%
7 39
12.0%
6 13
 
4.0%
5 39
12.0%
4 52
16.0%
3 26
8.0%

극장_수
Real number (ℝ)

Distinct9
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.68
Minimum2
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:10.063137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q35
95-th percentile15
Maximum18
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.93258
Coefficient of variation (CV)0.84029486
Kurtosis4.4337839
Mean4.68
Median Absolute Deviation (MAD)1
Skewness2.2402675
Sum1521
Variance15.465185
MonotonicityNot monotonic
2024-05-03T23:23:10.418749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2 104
32.0%
3 78
24.0%
5 52
16.0%
4 26
 
8.0%
9 13
 
4.0%
15 13
 
4.0%
7 13
 
4.0%
6 13
 
4.0%
18 13
 
4.0%
ValueCountFrequency (%)
2 104
32.0%
3 78
24.0%
4 26
 
8.0%
5 52
16.0%
6 13
 
4.0%
7 13
 
4.0%
9 13
 
4.0%
15 13
 
4.0%
18 13
 
4.0%
ValueCountFrequency (%)
18 13
 
4.0%
15 13
 
4.0%
9 13
 
4.0%
7 13
 
4.0%
6 13
 
4.0%
5 52
16.0%
4 26
 
8.0%
3 78
24.0%
2 104
32.0%

숙박_시설_수
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)5.0%
Missing26
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean15.304348
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:10.778247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median7
Q324
95-th percentile54
Maximum68
Range67
Interquartile range (IQR)21

Descriptive statistics

Standard deviation18.324014
Coefficient of variation (CV)1.1973077
Kurtosis1.5012833
Mean15.304348
Median Absolute Deviation (MAD)6
Skewness1.5801001
Sum4576
Variance335.76948
MonotonicityNot monotonic
2024-05-03T23:23:11.263347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 52
16.0%
4 39
12.0%
3 39
12.0%
15 26
 
8.0%
30 13
 
4.0%
48 13
 
4.0%
28 13
 
4.0%
7 13
 
4.0%
5 13
 
4.0%
12 13
 
4.0%
Other values (5) 65
20.0%
(Missing) 26
 
8.0%
ValueCountFrequency (%)
1 52
16.0%
3 39
12.0%
4 39
12.0%
5 13
 
4.0%
7 13
 
4.0%
8 13
 
4.0%
12 13
 
4.0%
13 13
 
4.0%
15 26
8.0%
24 13
 
4.0%
ValueCountFrequency (%)
68 13
4.0%
54 13
4.0%
48 13
4.0%
30 13
4.0%
28 13
4.0%
24 13
4.0%
15 26
8.0%
13 13
4.0%
12 13
4.0%
8 13
4.0%

공항_수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
312 
25
 
13

Length

Max length4
Median length4
Mean length3.92
Min length2

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> 312
96.0%
25 13
 
4.0%

Length

2024-05-03T23:23:11.766222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:23:12.045873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 312
96.0%
25 13
 
4.0%

철도_역_수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing325
Missing (%)100.0%
Memory size3.0 KiB

버스_터미널_수
Categorical

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.7 KiB
<NA>
286 
1
39 

Length

Max length4
Median length4
Mean length3.64
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 286
88.0%
1 39
 
12.0%

Length

2024-05-03T23:23:12.242217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:23:12.451736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 286
88.0%
1 39
 
12.0%

지하철_역_수
Real number (ℝ)

Distinct16
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.88
Minimum4
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:12.751863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q111
median15
Q320
95-th percentile30
Maximum31
Range27
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.2848397
Coefficient of variation (CV)0.45874305
Kurtosis-0.43542642
Mean15.88
Median Absolute Deviation (MAD)4
Skewness0.37209909
Sum5161
Variance53.068889
MonotonicityNot monotonic
2024-05-03T23:23:13.023839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
15 65
20.0%
4 26
 
8.0%
17 26
 
8.0%
11 26
 
8.0%
8 26
 
8.0%
13 26
 
8.0%
31 13
 
4.0%
21 13
 
4.0%
19 13
 
4.0%
30 13
 
4.0%
Other values (6) 78
24.0%
ValueCountFrequency (%)
4 26
 
8.0%
6 13
 
4.0%
8 26
 
8.0%
11 26
 
8.0%
13 26
 
8.0%
14 13
 
4.0%
15 65
20.0%
17 26
 
8.0%
19 13
 
4.0%
20 13
 
4.0%
ValueCountFrequency (%)
31 13
 
4.0%
30 13
 
4.0%
27 13
 
4.0%
26 13
 
4.0%
22 13
 
4.0%
21 13
 
4.0%
20 13
 
4.0%
19 13
 
4.0%
17 26
 
8.0%
15 65
20.0%

버스_정거장_수
Real number (ℝ)

Distinct25
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean509.88
Minimum236
Maximum718
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.0 KiB
2024-05-03T23:23:13.370303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum236
5-th percentile331
Q1408
median497
Q3624
95-th percentile688
Maximum718
Range482
Interquartile range (IQR)216

Descriptive statistics

Standard deviation124.45402
Coefficient of variation (CV)0.24408492
Kurtosis-0.86759174
Mean509.88
Median Absolute Deviation (MAD)93
Skewness-0.13538421
Sum165711
Variance15488.803
MonotonicityNot monotonic
2024-05-03T23:23:13.760773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
455 13
 
4.0%
236 13
 
4.0%
688 13
 
4.0%
405 13
 
4.0%
718 13
 
4.0%
497 13
 
4.0%
408 13
 
4.0%
561 13
 
4.0%
590 13
 
4.0%
485 13
 
4.0%
Other values (15) 195
60.0%
ValueCountFrequency (%)
236 13
4.0%
331 13
4.0%
378 13
4.0%
383 13
4.0%
403 13
4.0%
405 13
4.0%
408 13
4.0%
413 13
4.0%
414 13
4.0%
455 13
4.0%
ValueCountFrequency (%)
718 13
4.0%
688 13
4.0%
669 13
4.0%
661 13
4.0%
646 13
4.0%
639 13
4.0%
624 13
4.0%
590 13
4.0%
582 13
4.0%
572 13
4.0%

Sample

기준_년분기_코드자치구_코드자치구_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
02023111110종로구205810610343175101381497<NA>8930<NA><NA><NA>15455
12023111140중구2071891512315941291329171548<NA><NA><NA>27236
22023111170용산구15041256512116111591332<NA>21315<NA><NA><NA>17383
32023111215광진구1602484925162182211869155<NA><NA><NA>111331
42023111230동대문구198762504141982321141280<NA>7228<NA><NA><NA>15378
52023111260중랑구18405430312175162412108<NA>4037<NA><NA>115403
62023111290성북구238081511618433292014157<NA>324<NA><NA><NA>14669
72023111305강북구18435925181621612127141431<NA><NA><NA>11508
82023111320도봉구14325827181162023121020<NA>224<NA><NA><NA>8481
92023111350노원구258677543720535402626114<NA>255<NA><NA><NA>15661
기준_년분기_코드자치구_코드자치구_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
3152021211680강남구408411229243342728332223952181<NA><NA><NA>31688
3162021111680강남구408411229243342728332223952181<NA><NA><NA>31688
3172020411680강남구408411229243342728332223952181<NA><NA><NA>31688
3182023111380은평구21446838111206313015185<NA>104<NA><NA><NA><NA>13590
3192023111545금천구13204249161191220951<NA>1224<NA><NA><NA>4408
3202023111590동작구1934634725188232117845<NA>428<NA><NA><NA>17497
3212023111680강남구408411229243342728332223952181<NA><NA><NA>31688
3222023211545금천구13204249161191220951<NA>1224<NA><NA><NA>4408
3232023211590동작구1934634725188232117845<NA>428<NA><NA><NA>17497
3242023211680강남구408411229243342728332223952181<NA><NA><NA>31688