Overview

Dataset statistics

Number of variables25
Number of observations1090
Missing cells4727
Missing cells (%)17.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory236.4 KiB
Average record size in memory222.1 B

Variable types

Categorical13
Numeric10
Text1
Unsupported1

Dataset

Description기준_년분기_코드,상권_구분_코드,상권_구분_코드_명,상권배후지_코드,상권배후지_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-15581/S/1/datasetView.do

Alerts

기준_년분기_코드 has constant value ""Constant
상권_구분_코드 has constant value ""Constant
상권_구분_코드_명 has constant value ""Constant
종합병원_수 is highly imbalanced (75.6%)Imbalance
일반_병원_수 is highly imbalanced (55.2%)Imbalance
고등학교_수 is highly imbalanced (56.5%)Imbalance
백화점_수 is highly imbalanced (95.8%)Imbalance
극장_수 is highly imbalanced (76.0%)Imbalance
공항_수 is highly imbalanced (98.9%)Imbalance
버스_터미널_수 is highly imbalanced (97.3%)Imbalance
관공서_수 has 123 (11.3%) missing valuesMissing
은행_수 has 247 (22.7%) missing valuesMissing
약국_수 has 55 (5.0%) missing valuesMissing
유치원_수 has 597 (54.8%) missing valuesMissing
대학교_수 has 872 (80.0%) missing valuesMissing
슈퍼마켓_수 has 901 (82.7%) missing valuesMissing
숙박_시설_수 has 841 (77.2%) missing valuesMissing
철도_역_수 has 1090 (100.0%) missing valuesMissing
상권배후지_코드 has unique valuesUnique
상권배후지_코드_명 has unique valuesUnique
철도_역_수 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-05-03 21:02:25.088968
Analysis finished2024-05-03 21:02:25.800777
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
20204
1090 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20204
2nd row20204
3rd row20204
4th row20204
5th row20204

Common Values

ValueCountFrequency (%)
20204 1090
100.0%

Length

2024-05-03T21:02:25.996680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:26.296785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20204 1090
100.0%

상권_구분_코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
A
1090 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 1090
100.0%

Length

2024-05-03T21:02:26.611368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:26.904307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 1090
100.0%

상권_구분_코드_명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
골목상권
1090 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골목상권 1090
100.0%

Length

2024-05-03T21:02:27.233883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:27.537390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골목상권 1090
100.0%

상권배후지_코드
Real number (ℝ)

UNIQUE 

Distinct1090
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3110545.5
Minimum3110001
Maximum3111090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-05-03T21:02:27.879904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3110001
5-th percentile3110055.5
Q13110273.2
median3110545.5
Q33110817.8
95-th percentile3111035.5
Maximum3111090
Range1089
Interquartile range (IQR)544.5

Descriptive statistics

Standard deviation314.8002
Coefficient of variation (CV)0.00010120418
Kurtosis-1.2
Mean3110545.5
Median Absolute Deviation (MAD)272.5
Skewness0
Sum3.3904946 × 109
Variance99099.167
MonotonicityNot monotonic
2024-05-03T21:02:28.349408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3110008 1
 
0.1%
3110753 1
 
0.1%
3110717 1
 
0.1%
3110716 1
 
0.1%
3110715 1
 
0.1%
3110688 1
 
0.1%
3110687 1
 
0.1%
3110754 1
 
0.1%
3110777 1
 
0.1%
3110605 1
 
0.1%
Other values (1080) 1080
99.1%
ValueCountFrequency (%)
3110001 1
0.1%
3110002 1
0.1%
3110003 1
0.1%
3110004 1
0.1%
3110005 1
0.1%
3110006 1
0.1%
3110007 1
0.1%
3110008 1
0.1%
3110009 1
0.1%
3110010 1
0.1%
ValueCountFrequency (%)
3111090 1
0.1%
3111089 1
0.1%
3111088 1
0.1%
3111087 1
0.1%
3111086 1
0.1%
3111085 1
0.1%
3111084 1
0.1%
3111083 1
0.1%
3111082 1
0.1%
3111081 1
0.1%

상권배후지_코드_명
Text

UNIQUE 

Distinct1090
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
2024-05-03T21:02:29.109093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length7.4899083
Min length2

Characters and Unicode

Total characters8164
Distinct characters401
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1090 ?
Unique (%)100.0%

Sample

1st row배화여자대학교(박노수미술관)
2nd row자하문터널
3rd row평창동서측
4th row정독도서관
5th row중앙고등학교
ValueCountFrequency (%)
1번 78
 
5.2%
2번 59
 
4.0%
3번 55
 
3.7%
4번 51
 
3.4%
5번 24
 
1.6%
6번 20
 
1.3%
7번 15
 
1.0%
8번 15
 
1.0%
연신내역 5
 
0.3%
내방역 5
 
0.3%
Other values (982) 1162
78.0%
2024-05-03T21:02:30.189412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
399
 
4.9%
역 376
 
4.6%
번 359
 
4.4%
교 276
 
3.4%
학 271
 
3.3%
동 230
 
2.8%
등 182
 
2.2%
1 143
 
1.8%
원 136
 
1.7%
대 134
 
1.6%
Other values (391) 5658
69.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7042
86.3%
Decimal Number 488
 
6.0%
Space Separator 399
 
4.9%
Close Punctuation 94
 
1.2%
Open Punctuation 94
 
1.2%
Uppercase Letter 40
 
0.5%
Other Punctuation 6
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 376
 
5.3%
번 359
 
5.1%
교 276
 
3.9%
학 271
 
3.8%
동 230
 
3.3%
등 182
 
2.6%
원 136
 
1.9%
대 134
 
1.9%
초 132
 
1.9%
터 122
 
1.7%
Other values (361) 4824
68.5%
Uppercase Letter
ValueCountFrequency (%)
K 10
25.0%
T 5
12.5%
B 4
 
10.0%
G 4
 
10.0%
I 3
 
7.5%
C 3
 
7.5%
S 3
 
7.5%
N 2
 
5.0%
H 2
 
5.0%
R 1
 
2.5%
Other values (3) 3
 
7.5%
Decimal Number
ValueCountFrequency (%)
1 143
29.3%
2 93
19.1%
3 75
15.4%
4 70
14.3%
5 34
 
7.0%
6 23
 
4.7%
8 17
 
3.5%
7 16
 
3.3%
9 12
 
2.5%
0 5
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 2
33.3%
. 2
33.3%
& 2
33.3%
Space Separator
ValueCountFrequency (%)
399
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Lowercase Letter
ValueCountFrequency (%)
h 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7042
86.3%
Common 1081
 
13.2%
Latin 41
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 376
 
5.3%
번 359
 
5.1%
교 276
 
3.9%
학 271
 
3.8%
동 230
 
3.3%
등 182
 
2.6%
원 136
 
1.9%
대 134
 
1.9%
초 132
 
1.9%
터 122
 
1.7%
Other values (361) 4824
68.5%
Common
ValueCountFrequency (%)
399
36.9%
1 143
 
13.2%
) 94
 
8.7%
( 94
 
8.7%
2 93
 
8.6%
3 75
 
6.9%
4 70
 
6.5%
5 34
 
3.1%
6 23
 
2.1%
8 17
 
1.6%
Other values (6) 39
 
3.6%
Latin
ValueCountFrequency (%)
K 10
24.4%
T 5
12.2%
B 4
 
9.8%
G 4
 
9.8%
I 3
 
7.3%
C 3
 
7.3%
S 3
 
7.3%
N 2
 
4.9%
H 2
 
4.9%
h 1
 
2.4%
Other values (4) 4
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7042
86.3%
ASCII 1122
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
399
35.6%
1 143
 
12.7%
) 94
 
8.4%
( 94
 
8.4%
2 93
 
8.3%
3 75
 
6.7%
4 70
 
6.2%
5 34
 
3.0%
6 23
 
2.0%
8 17
 
1.5%
Other values (20) 80
 
7.1%
Hangul
ValueCountFrequency (%)
역 376
 
5.3%
번 359
 
5.1%
교 276
 
3.9%
학 271
 
3.8%
동 230
 
3.3%
등 182
 
2.6%
원 136
 
1.9%
대 134
 
1.9%
초 132
 
1.9%
터 122
 
1.7%
Other values (361) 4824
68.5%

집객시설_수
Real number (ℝ)

Distinct170
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74.684404
Minimum4
Maximum222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-05-03T21:02:30.627858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile23
Q149
median69
Q397
95-th percentile144.55
Maximum222
Range218
Interquartile range (IQR)48

Descriptive statistics

Standard deviation36.851643
Coefficient of variation (CV)0.49343157
Kurtosis0.62356591
Mean74.684404
Median Absolute Deviation (MAD)23
Skewness0.75973842
Sum81406
Variance1358.0436
MonotonicityNot monotonic
2024-05-03T21:02:31.061224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52 24
 
2.2%
61 23
 
2.1%
76 16
 
1.5%
55 16
 
1.5%
73 16
 
1.5%
59 16
 
1.5%
53 15
 
1.4%
48 15
 
1.4%
58 15
 
1.4%
71 14
 
1.3%
Other values (160) 920
84.4%
ValueCountFrequency (%)
4 1
 
0.1%
5 1
 
0.1%
6 1
 
0.1%
7 2
 
0.2%
8 2
 
0.2%
9 1
 
0.1%
11 3
0.3%
12 1
 
0.1%
13 6
0.6%
14 3
0.3%
ValueCountFrequency (%)
222 1
0.1%
215 1
0.1%
211 1
0.1%
204 1
0.1%
196 1
0.1%
195 1
0.1%
193 2
0.2%
187 1
0.1%
185 2
0.2%
184 1
0.1%

관공서_수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)1.3%
Missing123
Missing (%)11.3%
Infinite0
Infinite (%)0.0%
Mean2.9896587
Minimum1
Maximum18
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-05-03T21:02:31.409239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile6
Maximum18
Range17
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8499333
Coefficient of variation (CV)0.61877741
Kurtosis9.6984904
Mean2.9896587
Median Absolute Deviation (MAD)1
Skewness2.0177754
Sum2891
Variance3.4222532
MonotonicityNot monotonic
2024-05-03T21:02:31.795767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2 248
22.8%
3 213
19.5%
1 202
18.5%
4 139
12.8%
5 91
 
8.3%
6 33
 
3.0%
7 18
 
1.7%
8 13
 
1.2%
9 4
 
0.4%
10 2
 
0.2%
Other values (3) 4
 
0.4%
(Missing) 123
11.3%
ValueCountFrequency (%)
1 202
18.5%
2 248
22.8%
3 213
19.5%
4 139
12.8%
5 91
 
8.3%
6 33
 
3.0%
7 18
 
1.7%
8 13
 
1.2%
9 4
 
0.4%
10 2
 
0.2%
ValueCountFrequency (%)
18 2
 
0.2%
12 1
 
0.1%
11 1
 
0.1%
10 2
 
0.2%
9 4
 
0.4%
8 13
 
1.2%
7 18
 
1.7%
6 33
 
3.0%
5 91
8.3%
4 139
12.8%

은행_수
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)1.5%
Missing247
Missing (%)22.7%
Infinite0
Infinite (%)0.0%
Mean2.7544484
Minimum1
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-05-03T21:02:32.135592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q34
95-th percentile7
Maximum13
Range12
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8788012
Coefficient of variation (CV)0.68209709
Kurtosis3.2859352
Mean2.7544484
Median Absolute Deviation (MAD)1
Skewness1.5503763
Sum2322
Variance3.5298941
MonotonicityNot monotonic
2024-05-03T21:02:32.508276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 258
23.7%
2 209
19.2%
3 144
13.2%
4 102
 
9.4%
5 65
 
6.0%
7 22
 
2.0%
6 21
 
1.9%
8 11
 
1.0%
9 5
 
0.5%
12 2
 
0.2%
Other values (3) 4
 
0.4%
(Missing) 247
22.7%
ValueCountFrequency (%)
1 258
23.7%
2 209
19.2%
3 144
13.2%
4 102
 
9.4%
5 65
 
6.0%
6 21
 
1.9%
7 22
 
2.0%
8 11
 
1.0%
9 5
 
0.5%
10 2
 
0.2%
ValueCountFrequency (%)
13 1
 
0.1%
12 2
 
0.2%
11 1
 
0.1%
10 2
 
0.2%
9 5
 
0.5%
8 11
 
1.0%
7 22
 
2.0%
6 21
 
1.9%
5 65
6.0%
4 102
9.4%

종합병원_수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
1011 
1
 
77
2
 
2

Length

Max length4
Median length4
Mean length3.7825688
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> 1011
92.8%
1 77
 
7.1%
2 2
 
0.2%

Length

2024-05-03T21:02:32.927767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:33.248644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1011
92.8%
1 77
 
7.1%
2 2
 
0.2%

일반_병원_수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
803 
1
205 
2
 
55
3
 
18
4
 
7

Length

Max length4
Median length4
Mean length3.2100917
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 803
73.7%
1 205
 
18.8%
2 55
 
5.0%
3 18
 
1.7%
4 7
 
0.6%
5 2
 
0.2%

Length

2024-05-03T21:02:33.605400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:34.017902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 803
73.7%
1 205
 
18.8%
2 55
 
5.0%
3 18
 
1.7%
4 7
 
0.6%
5 2
 
0.2%

약국_수
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)2.9%
Missing55
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean7.8917874
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-05-03T21:02:34.691982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median7
Q311
95-th percentile18
Maximum35
Range34
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.2428343
Coefficient of variation (CV)0.66434054
Kurtosis1.365275
Mean7.8917874
Median Absolute Deviation (MAD)3
Skewness1.0564865
Sum8168
Variance27.487312
MonotonicityNot monotonic
2024-05-03T21:02:35.160189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
6 88
 
8.1%
5 88
 
8.1%
3 86
 
7.9%
2 84
 
7.7%
4 83
 
7.6%
8 76
 
7.0%
7 71
 
6.5%
1 61
 
5.6%
9 60
 
5.5%
11 59
 
5.4%
Other values (20) 279
25.6%
ValueCountFrequency (%)
1 61
5.6%
2 84
7.7%
3 86
7.9%
4 83
7.6%
5 88
8.1%
6 88
8.1%
7 71
6.5%
8 76
7.0%
9 60
5.5%
10 55
5.0%
ValueCountFrequency (%)
35 1
 
0.1%
30 1
 
0.1%
28 1
 
0.1%
27 2
 
0.2%
26 2
 
0.2%
25 3
0.3%
24 1
 
0.1%
23 2
 
0.2%
22 6
0.6%
21 6
0.6%

유치원_수
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.2%
Missing597
Missing (%)54.8%
Infinite0
Infinite (%)0.0%
Mean1.4827586
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-05-03T21:02:35.587335image/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 deviation0.77970112
Coefficient of variation (CV)0.52584494
Kurtosis5.6608631
Mean1.4827586
Median Absolute Deviation (MAD)0
Skewness2.046576
Sum731
Variance0.60793384
MonotonicityNot monotonic
2024-05-03T21:02:35.995672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 319
29.3%
2 127
 
11.7%
3 35
 
3.2%
4 9
 
0.8%
6 2
 
0.2%
5 1
 
0.1%
(Missing) 597
54.8%
ValueCountFrequency (%)
1 319
29.3%
2 127
 
11.7%
3 35
 
3.2%
4 9
 
0.8%
5 1
 
0.1%
6 2
 
0.2%
ValueCountFrequency (%)
6 2
 
0.2%
5 1
 
0.1%
4 9
 
0.8%
3 35
 
3.2%
2 127
 
11.7%
1 319
29.3%

초등학교_수
Categorical

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
1
516 
<NA>
421 
2
131 
3
 
20
4
 
1

Length

Max length4
Median length1
Mean length2.1587156
Min length1

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
1 516
47.3%
<NA> 421
38.6%
2 131
 
12.0%
3 20
 
1.8%
4 1
 
0.1%
5 1
 
0.1%

Length

2024-05-03T21:02:36.421853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:36.795553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 516
47.3%
na 421
38.6%
2 131
 
12.0%
3 20
 
1.8%
4 1
 
0.1%
5 1
 
0.1%

중학교_수
Categorical

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
693 
1
336 
2
 
56
3
 
4
4
 
1

Length

Max length4
Median length4
Mean length2.9073394
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 693
63.6%
1 336
30.8%
2 56
 
5.1%
3 4
 
0.4%
4 1
 
0.1%

Length

2024-05-03T21:02:37.372522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:37.783795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 693
63.6%
1 336
30.8%
2 56
 
5.1%
3 4
 
0.4%
4 1
 
0.1%

고등학교_수
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
793 
1
227 
2
 
55
3
 
10
4
 
4

Length

Max length4
Median length4
Mean length3.1825688
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 793
72.8%
1 227
 
20.8%
2 55
 
5.0%
3 10
 
0.9%
4 4
 
0.4%
5 1
 
0.1%

Length

2024-05-03T21:02:38.450122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:39.064686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 793
72.8%
1 227
 
20.8%
2 55
 
5.0%
3 10
 
0.9%
4 4
 
0.4%
5 1
 
0.1%

대학교_수
Real number (ℝ)

MISSING 

Distinct28
Distinct (%)12.8%
Missing872
Missing (%)80.0%
Infinite0
Infinite (%)0.0%
Mean5.3302752
Minimum1
Maximum48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-05-03T21:02:39.598773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q36
95-th percentile20.3
Maximum48
Range47
Interquartile range (IQR)5

Descriptive statistics

Standard deviation7.0135551
Coefficient of variation (CV)1.315796
Kurtosis7.7482638
Mean5.3302752
Median Absolute Deviation (MAD)1
Skewness2.4624461
Sum1162
Variance49.189955
MonotonicityNot monotonic
2024-05-03T21:02:40.223185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
1 86
 
7.9%
2 35
 
3.2%
3 15
 
1.4%
4 15
 
1.4%
12 8
 
0.7%
6 7
 
0.6%
5 6
 
0.6%
11 6
 
0.6%
8 6
 
0.6%
10 3
 
0.3%
Other values (18) 31
 
2.8%
(Missing) 872
80.0%
ValueCountFrequency (%)
1 86
7.9%
2 35
3.2%
3 15
 
1.4%
4 15
 
1.4%
5 6
 
0.6%
6 7
 
0.6%
7 2
 
0.2%
8 6
 
0.6%
9 3
 
0.3%
10 3
 
0.3%
ValueCountFrequency (%)
48 1
0.1%
31 1
0.1%
30 1
0.1%
26 2
0.2%
25 2
0.2%
24 1
0.1%
23 2
0.2%
22 1
0.1%
20 1
0.1%
19 2
0.2%

백화점_수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
1085 
1
 
5

Length

Max length4
Median length4
Mean length3.9862385
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> 1085
99.5%
1 5
 
0.5%

Length

2024-05-03T21:02:40.948160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:41.373966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1085
99.5%
1 5
 
0.5%

슈퍼마켓_수
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)4.8%
Missing901
Missing (%)82.7%
Infinite0
Infinite (%)0.0%
Mean1.7460317
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-05-03T21:02:41.682929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile5
Maximum10
Range9
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.560499
Coefficient of variation (CV)0.89374032
Kurtosis11.455376
Mean1.7460317
Median Absolute Deviation (MAD)0
Skewness3.1716755
Sum330
Variance2.435157
MonotonicityNot monotonic
2024-05-03T21:02:42.124483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1 125
 
11.5%
2 37
 
3.4%
3 10
 
0.9%
4 6
 
0.6%
6 5
 
0.5%
5 2
 
0.2%
10 2
 
0.2%
8 1
 
0.1%
9 1
 
0.1%
(Missing) 901
82.7%
ValueCountFrequency (%)
1 125
11.5%
2 37
 
3.4%
3 10
 
0.9%
4 6
 
0.6%
5 2
 
0.2%
6 5
 
0.5%
8 1
 
0.1%
9 1
 
0.1%
10 2
 
0.2%
ValueCountFrequency (%)
10 2
 
0.2%
9 1
 
0.1%
8 1
 
0.1%
6 5
 
0.5%
5 2
 
0.2%
4 6
 
0.6%
3 10
 
0.9%
2 37
 
3.4%
1 125
11.5%

극장_수
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
998 
1
 
78
2
 
10
3
 
4

Length

Max length4
Median length4
Mean length3.746789
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> 998
91.6%
1 78
 
7.2%
2 10
 
0.9%
3 4
 
0.4%

Length

2024-05-03T21:02:42.712273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:43.112007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 998
91.6%
1 78
 
7.2%
2 10
 
0.9%
3 4
 
0.4%

숙박_시설_수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)7.6%
Missing841
Missing (%)77.2%
Infinite0
Infinite (%)0.0%
Mean3.0281124
Minimum1
Maximum39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-05-03T21:02:43.513323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile9
Maximum39
Range38
Interquartile range (IQR)2

Descriptive statistics

Standard deviation4.7725708
Coefficient of variation (CV)1.5760877
Kurtosis27.145802
Mean3.0281124
Median Absolute Deviation (MAD)1
Skewness4.808424
Sum754
Variance22.777432
MonotonicityNot monotonic
2024-05-03T21:02:43.929308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1 119
 
10.9%
2 55
 
5.0%
3 28
 
2.6%
4 12
 
1.1%
5 8
 
0.7%
6 7
 
0.6%
9 5
 
0.5%
7 3
 
0.3%
12 2
 
0.2%
8 1
 
0.1%
Other values (9) 9
 
0.8%
(Missing) 841
77.2%
ValueCountFrequency (%)
1 119
10.9%
2 55
5.0%
3 28
 
2.6%
4 12
 
1.1%
5 8
 
0.7%
6 7
 
0.6%
7 3
 
0.3%
8 1
 
0.1%
9 5
 
0.5%
10 1
 
0.1%
ValueCountFrequency (%)
39 1
0.1%
36 1
0.1%
26 1
0.1%
25 1
0.1%
23 1
0.1%
22 1
0.1%
21 1
0.1%
12 2
0.2%
11 1
0.1%
10 1
0.1%

공항_수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
1089 
8
 
1

Length

Max length4
Median length4
Mean length3.9972477
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1089
99.9%
8 1
 
0.1%

Length

2024-05-03T21:02:44.520438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:44.932564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1089
99.9%
8 1
 
0.1%

철도_역_수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1090
Missing (%)100.0%
Memory size9.7 KiB

버스_터미널_수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
1087 
1
 
3

Length

Max length4
Median length4
Mean length3.9917431
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> 1087
99.7%
1 3
 
0.3%

Length

2024-05-03T21:02:45.287924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:45.678118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1087
99.7%
1 3
 
0.3%

지하철_역_수
Categorical

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
690 
1
296 
2
86 
3
 
13
4
 
3

Length

Max length4
Median length4
Mean length2.8990826
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> 690
63.3%
1 296
27.2%
2 86
 
7.9%
3 13
 
1.2%
4 3
 
0.3%
5 2
 
0.2%

Length

2024-05-03T21:02:46.073588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:02:46.576872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 690
63.3%
1 296
27.2%
2 86
 
7.9%
3 13
 
1.2%
4 3
 
0.3%
5 2
 
0.2%

버스_정거장_수
Real number (ℝ)

Distinct49
Distinct (%)4.5%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean17.666667
Minimum1
Maximum55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.7 KiB
2024-05-03T21:02:47.050513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q110
median16
Q324
95-th percentile34
Maximum55
Range54
Interquartile range (IQR)14

Descriptive statistics

Standard deviation9.4197462
Coefficient of variation (CV)0.53319318
Kurtosis0.2690362
Mean17.666667
Median Absolute Deviation (MAD)6
Skewness0.69602387
Sum19239
Variance88.731618
MonotonicityNot monotonic
2024-05-03T21:02:47.597148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
12 54
 
5.0%
13 52
 
4.8%
8 52
 
4.8%
10 46
 
4.2%
17 45
 
4.1%
21 44
 
4.0%
16 44
 
4.0%
9 43
 
3.9%
14 43
 
3.9%
11 43
 
3.9%
Other values (39) 623
57.2%
ValueCountFrequency (%)
1 4
 
0.4%
2 12
 
1.1%
3 16
 
1.5%
4 16
 
1.5%
5 25
2.3%
6 25
2.3%
7 38
3.5%
8 52
4.8%
9 43
3.9%
10 46
4.2%
ValueCountFrequency (%)
55 2
 
0.2%
50 1
 
0.1%
49 1
 
0.1%
47 3
0.3%
46 1
 
0.1%
44 4
0.4%
43 4
0.4%
42 1
 
0.1%
41 2
 
0.2%
40 7
0.6%

Sample

기준_년분기_코드상권_구분_코드상권_구분_코드_명상권배후지_코드상권배후지_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
020204A골목상권3110008배화여자대학교(박노수미술관)7553<NA><NA>611119<NA><NA><NA><NA><NA><NA><NA><NA>21
120204A골목상권3110009자하문터널131<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>8
220204A골목상권3110010평창동서측6923<NA>13<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>44
320204A골목상권3110017정독도서관4682<NA><NA><NA><NA><NA>112<NA><NA><NA><NA><NA><NA><NA><NA>15
420204A골목상권3110018중앙고등학교5044<NA><NA>11112<NA><NA><NA><NA><NA><NA><NA><NA><NA>16
520204A골목상권3110019창덕궁451<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>3<NA><NA><NA><NA>8
620204A골목상권3110020서울국제고등학교7131<NA><NA>421<NA>212<NA><NA><NA><NA><NA><NA><NA><NA>28
720204A골목상권3110001이북5도청사332<NA><NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>18
820204A골목상권3110002독립문역 1번35211<NA>4<NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>16
920204A골목상권3110003세검정초등학교7332<NA><NA>312<NA><NA>2<NA><NA><NA><NA><NA><NA><NA><NA>41
기준_년분기_코드상권_구분_코드상권_구분_코드_명상권배후지_코드상권배후지_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
108020204A골목상권3110982강남구보훈회관2821<NA><NA>3<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>4
108120204A골목상권3111040거여초등학교30<NA>1<NA><NA>511<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>10
108220204A골목상권3111074명일역 1번74<NA>1<NA><NA>911<NA>1<NA><NA><NA><NA><NA><NA><NA><NA>112
108320204A골목상권3111075굽은다리역 2번10724<NA>218<NA><NA>111<NA><NA>1<NA><NA><NA><NA>212
108420204A골목상권3111076둔촌2동주민센터8652<NA>3101<NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA>16
108520204A골목상권3110892관악구 중앙길222410133011<NA><NA><NA><NA><NA>1<NA><NA><NA><NA>131
108620204A골목상권3110893관악소방서(문영여고)111<NA><NA><NA><NA><NA>112<NA><NA><NA><NA><NA><NA><NA><NA><NA>3
108720204A골목상권3110894관악동부센트레빌아파트(은천로35라길)281<NA><NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6
108820204A골목상권3110966논현2동주민센터12058<NA>116<NA><NA><NA>1<NA><NA><NA><NA><NA><NA><NA><NA>217
108920204A골목상권3110967역삼역 8번6827<NA><NA>4<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>6