Overview

Dataset statistics

Number of variables22
Number of observations37
Missing cells180
Missing cells (%)22.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.9 KiB
Average record size in memory190.6 B

Variable types

Numeric7
Text5
Categorical5
Unsupported4
Boolean1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15048/S/1/datasetView.do

Alerts

영업상태명 has constant value ""Constant
다중이용업소여부 has constant value ""Constant
위생업종명 has constant value ""Constant
위생업태명 has constant value ""Constant
상세영업상태명 has constant value ""Constant
도로명전체주소 has 2 (5.4%) missing valuesMissing
폐업일자 has 37 (100.0%) missing valuesMissing
휴업시작일자 has 37 (100.0%) missing valuesMissing
휴업종료일자 has 37 (100.0%) missing valuesMissing
재개업일자 has 37 (100.0%) missing valuesMissing
소재지면적 has 10 (27.0%) missing valuesMissing
전화번호 has 18 (48.6%) missing valuesMissing
위치정보(X) has 1 (2.7%) missing valuesMissing
위치정보(Y) has 1 (2.7%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가번호 has unique valuesUnique
폐업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업시작일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴업종료일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
재개업일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 10:32:14.156045
Analysis finished2023-12-11 10:32:14.458607
Duration0.3 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T19:32:14.513144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2023-12-11T19:32:14.642869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

사업장명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T19:32:14.843572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length13
Mean length8.5135135
Min length4

Characters and Unicode

Total characters315
Distinct characters121
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

Unique37 ?
Unique (%)100.0%

Sample

1st row클릭전원미술학원
2nd row고려직업전문학교
3rd row노량진행정고시학원
4th row박문각임용고시학원
5th row노량진메가스터디입시어학원
ValueCountFrequency (%)
클릭전원미술학원 1
 
2.4%
해커스어학원 1
 
2.4%
현재어학학원 1
 
2.4%
교대편입교대본원학원 1
 
2.4%
이익훈어학2관학원 1
 
2.4%
피에스에이어학학원 1
 
2.4%
고려학원빌딩 1
 
2.4%
동국대학교 1
 
2.4%
전자계산전공학원 1
 
2.4%
종로학원 1
 
2.4%
Other values (31) 31
75.6%
2023-12-11T19:32:15.209531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 40
 
12.7%
원 39
 
12.4%
시 11
 
3.5%
어 9
 
2.9%
고 9
 
2.9%
스 9
 
2.9%
이 7
 
2.2%
교 6
 
1.9%
입 6
 
1.9%
빌 5
 
1.6%
Other values (111) 174
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 300
95.2%
Space Separator 4
 
1.3%
Decimal Number 3
 
1.0%
Open Punctuation 2
 
0.6%
Close Punctuation 2
 
0.6%
Uppercase Letter 2
 
0.6%
Dash Punctuation 1
 
0.3%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 40
 
13.3%
원 39
 
13.0%
시 11
 
3.7%
어 9
 
3.0%
고 9
 
3.0%
스 9
 
3.0%
이 7
 
2.3%
교 6
 
2.0%
입 6
 
2.0%
빌 5
 
1.7%
Other values (101) 159
53.0%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
0 1
33.3%
3 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 300
95.2%
Common 13
 
4.1%
Latin 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 40
 
13.3%
원 39
 
13.0%
시 11
 
3.7%
어 9
 
3.0%
고 9
 
3.0%
스 9
 
3.0%
이 7
 
2.3%
교 6
 
2.0%
입 6
 
2.0%
빌 5
 
1.7%
Other values (101) 159
53.0%
Common
ValueCountFrequency (%)
4
30.8%
( 2
15.4%
) 2
15.4%
2 1
 
7.7%
- 1
 
7.7%
0 1
 
7.7%
. 1
 
7.7%
3 1
 
7.7%
Latin
ValueCountFrequency (%)
I 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 300
95.2%
ASCII 15
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 40
 
13.3%
원 39
 
13.0%
시 11
 
3.7%
어 9
 
3.0%
고 9
 
3.0%
스 9
 
3.0%
이 7
 
2.3%
교 6
 
2.0%
입 6
 
2.0%
빌 5
 
1.7%
Other values (101) 159
53.0%
ASCII
ValueCountFrequency (%)
4
26.7%
( 2
13.3%
) 2
13.3%
2 1
 
6.7%
- 1
 
6.7%
I 1
 
6.7%
T 1
 
6.7%
0 1
 
6.7%
. 1
 
6.7%
3 1
 
6.7%

소재지전체주소
Text

Distinct34
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T19:32:15.514575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length36
Mean length25.945946
Min length20

Characters and Unicode

Total characters960
Distinct characters79
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)83.8%

Sample

1st row서울특별시 마포구 창전동 6-4번지
2nd row서울특별시 동작구 노량진동 128-2번지
3rd row서울특별시 동작구 노량진동 151-10번지
4th row서울특별시 동작구 노량진동 151-10번지
5th row서울특별시 동작구 노량진동 45-3번지
ValueCountFrequency (%)
서울특별시 37
22.2%
노량진동 14
 
8.4%
동작구 14
 
8.4%
서초구 8
 
4.8%
서초동 7
 
4.2%
동대문구 5
 
3.0%
신설동 3
 
1.8%
151-10번지 2
 
1.2%
128-2번지 2
 
1.2%
중구 2
 
1.2%
Other values (65) 73
43.7%
2023-12-11T19:32:16.068074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
17.4%
동 57
 
5.9%
서 53
 
5.5%
1 50
 
5.2%
지 38
 
4.0%
번 37
 
3.9%
특 37
 
3.9%
별 37
 
3.9%
시 37
 
3.9%
구 37
 
3.9%
Other values (69) 410
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 544
56.7%
Decimal Number 191
 
19.9%
Space Separator 167
 
17.4%
Dash Punctuation 34
 
3.5%
Other Punctuation 14
 
1.5%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 57
 
10.5%
서 53
 
9.7%
지 38
 
7.0%
번 37
 
6.8%
특 37
 
6.8%
별 37
 
6.8%
시 37
 
6.8%
구 37
 
6.8%
울 37
 
6.8%
노 16
 
2.9%
Other values (53) 158
29.0%
Decimal Number
ValueCountFrequency (%)
1 50
26.2%
4 20
 
10.5%
2 19
 
9.9%
6 18
 
9.4%
3 18
 
9.4%
5 18
 
9.4%
7 17
 
8.9%
0 14
 
7.3%
8 9
 
4.7%
9 8
 
4.2%
Space Separator
ValueCountFrequency (%)
167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 544
56.7%
Common 416
43.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 57
 
10.5%
서 53
 
9.7%
지 38
 
7.0%
번 37
 
6.8%
특 37
 
6.8%
별 37
 
6.8%
시 37
 
6.8%
구 37
 
6.8%
울 37
 
6.8%
노 16
 
2.9%
Other values (53) 158
29.0%
Common
ValueCountFrequency (%)
167
40.1%
1 50
 
12.0%
- 34
 
8.2%
4 20
 
4.8%
2 19
 
4.6%
6 18
 
4.3%
3 18
 
4.3%
5 18
 
4.3%
7 17
 
4.1%
0 14
 
3.4%
Other values (6) 41
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 544
56.7%
ASCII 416
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
40.1%
1 50
 
12.0%
- 34
 
8.2%
4 20
 
4.8%
2 19
 
4.6%
6 18
 
4.3%
3 18
 
4.3%
5 18
 
4.3%
7 17
 
4.1%
0 14
 
3.4%
Other values (6) 41
 
9.9%
Hangul
ValueCountFrequency (%)
동 57
 
10.5%
서 53
 
9.7%
지 38
 
7.0%
번 37
 
6.8%
특 37
 
6.8%
별 37
 
6.8%
시 37
 
6.8%
구 37
 
6.8%
울 37
 
6.8%
노 16
 
2.9%
Other values (53) 158
29.0%

도로명전체주소
Text

MISSING 

Distinct32
Distinct (%)91.4%
Missing2
Missing (%)5.4%
Memory size428.0 B
2023-12-11T19:32:16.321124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length38
Mean length28.657143
Min length22

Characters and Unicode

Total characters1003
Distinct characters97
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)82.9%

Sample

1st row서울특별시 마포구 와우산로 138 (창전동)
2nd row서울특별시 동작구 노량진로 186 (노량진동)
3rd row서울특별시 동작구 노량진로 171 (노량진동)
4th row서울특별시 동작구 노량진로 171 (노량진동)
5th row서울특별시 동작구 장승배기로 171 (노량진동)
ValueCountFrequency (%)
서울특별시 35
 
18.6%
동작구 14
 
7.4%
노량진동 14
 
7.4%
노량진로 11
 
5.9%
서초구 8
 
4.3%
동대문구 4
 
2.1%
171 4
 
2.1%
서초동 3
 
1.6%
장승배기로 2
 
1.1%
성북구 2
 
1.1%
Other values (82) 91
48.4%
2023-12-11T19:32:16.723644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
15.3%
서 55
 
5.5%
동 54
 
5.4%
) 39
 
3.9%
( 39
 
3.9%
로 38
 
3.8%
특 35
 
3.5%
별 35
 
3.5%
시 35
 
3.5%
울 35
 
3.5%
Other values (87) 485
48.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 588
58.6%
Space Separator 153
 
15.3%
Decimal Number 149
 
14.9%
Close Punctuation 39
 
3.9%
Open Punctuation 39
 
3.9%
Other Punctuation 28
 
2.8%
Math Symbol 6
 
0.6%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 55
 
9.4%
동 54
 
9.2%
로 38
 
6.5%
특 35
 
6.0%
별 35
 
6.0%
시 35
 
6.0%
울 35
 
6.0%
구 35
 
6.0%
노 28
 
4.8%
진 25
 
4.3%
Other values (71) 213
36.2%
Decimal Number
ValueCountFrequency (%)
1 35
23.5%
4 18
12.1%
5 17
11.4%
8 17
11.4%
2 17
11.4%
3 15
10.1%
6 12
 
8.1%
7 10
 
6.7%
9 4
 
2.7%
0 4
 
2.7%
Space Separator
ValueCountFrequency (%)
153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 588
58.6%
Common 415
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 55
 
9.4%
동 54
 
9.2%
로 38
 
6.5%
특 35
 
6.0%
별 35
 
6.0%
시 35
 
6.0%
울 35
 
6.0%
구 35
 
6.0%
노 28
 
4.8%
진 25
 
4.3%
Other values (71) 213
36.2%
Common
ValueCountFrequency (%)
153
36.9%
) 39
 
9.4%
( 39
 
9.4%
1 35
 
8.4%
, 28
 
6.7%
4 18
 
4.3%
5 17
 
4.1%
8 17
 
4.1%
2 17
 
4.1%
3 15
 
3.6%
Other values (6) 37
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 588
58.6%
ASCII 415
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
36.9%
) 39
 
9.4%
( 39
 
9.4%
1 35
 
8.4%
, 28
 
6.7%
4 18
 
4.3%
5 17
 
4.1%
8 17
 
4.1%
2 17
 
4.1%
3 15
 
3.6%
Other values (6) 37
 
8.9%
Hangul
ValueCountFrequency (%)
서 55
 
9.4%
동 54
 
9.2%
로 38
 
6.5%
특 35
 
6.0%
별 35
 
6.0%
시 35
 
6.0%
울 35
 
6.0%
구 35
 
6.0%
노 28
 
4.8%
진 25
 
4.3%
Other values (71) 213
36.2%

인허가일자
Real number (ℝ)

Distinct16
Distinct (%)43.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20098144
Minimum20011207
Maximum20150427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T19:32:16.887655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20011207
5-th percentile20030883
Q120070405
median20110103
Q320110405
95-th percentile20150422
Maximum20150427
Range139220
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation33605.692
Coefficient of variation (CV)0.0016720794
Kurtosis0.28196601
Mean20098144
Median Absolute Deviation (MAD)29876
Skewness-0.53599284
Sum7.4363132 × 108
Variance1.1293426 × 109
MonotonicityNot monotonic
2023-12-11T19:32:17.049828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
20110103 10
27.0%
20110405 4
 
10.8%
20140101 4
 
10.8%
20070405 4
 
10.8%
20070331 2
 
5.4%
20080307 2
 
5.4%
20150427 2
 
5.4%
20011207 1
 
2.7%
20030929 1
 
2.7%
20150421 1
 
2.7%
Other values (6) 6
16.2%
ValueCountFrequency (%)
20011207 1
 
2.7%
20030701 1
 
2.7%
20030929 1
 
2.7%
20070101 1
 
2.7%
20070331 2
5.4%
20070405 4
10.8%
20080102 1
 
2.7%
20080227 1
 
2.7%
20080307 2
5.4%
20090423 1
 
2.7%
ValueCountFrequency (%)
20150427 2
 
5.4%
20150421 1
 
2.7%
20140101 4
 
10.8%
20110405 4
 
10.8%
20110103 10
27.0%
20100401 1
 
2.7%
20090423 1
 
2.7%
20080307 2
 
5.4%
20080227 1
 
2.7%
20080102 1
 
2.7%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
운영중
37 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 37
100.0%

Length

2023-12-11T19:32:17.179968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:32:17.279233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 37
100.0%

폐업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

휴업시작일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

휴업종료일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

재개업일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing37
Missing (%)100.0%
Memory size465.0 B

소재지면적
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)100.0%
Missing10
Missing (%)27.0%
Infinite0
Infinite (%)0.0%
Mean3542.3537
Minimum2022.54
Maximum8426.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T19:32:17.400898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2022.54
5-th percentile2044.361
Q12383.09
median2942.13
Q33885.53
95-th percentile7123.926
Maximum8426.33
Range6403.79
Interquartile range (IQR)1502.44

Descriptive statistics

Standard deviation1712.5398
Coefficient of variation (CV)0.48344686
Kurtosis1.8620546
Mean3542.3537
Median Absolute Deviation (MAD)761.14
Skewness1.5765637
Sum95643.55
Variance2932792.5
MonotonicityNot monotonic
2023-12-11T19:32:17.572447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
4196.0 1
 
2.7%
2257.76 1
 
2.7%
4009.06 1
 
2.7%
7368.0 1
 
2.7%
2862.0 1
 
2.7%
3762.0 1
 
2.7%
5644.0 1
 
2.7%
2712.0 1
 
2.7%
2144.0 1
 
2.7%
3227.94 1
 
2.7%
Other values (17) 17
45.9%
(Missing) 10
27.0%
ValueCountFrequency (%)
2022.54 1
2.7%
2030.69 1
2.7%
2076.26 1
2.7%
2144.0 1
2.7%
2180.99 1
2.7%
2257.76 1
2.7%
2356.0 1
2.7%
2410.18 1
2.7%
2428.51 1
2.7%
2501.49 1
2.7%
ValueCountFrequency (%)
8426.33 1
2.7%
7368.0 1
2.7%
6554.42 1
2.7%
5644.0 1
2.7%
5400.58 1
2.7%
4196.0 1
2.7%
4009.06 1
2.7%
3762.0 1
2.7%
3742.0 1
2.7%
3536.91 1
2.7%

소재지우편번호
Real number (ℝ)

Distinct24
Distinct (%)64.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142023.3
Minimum100273
Maximum158806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T19:32:17.717236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100273
5-th percentile108834.2
Q1136075
median137883
Q3156800
95-th percentile157202
Maximum158806
Range58533
Interquartile range (IQR)20725

Descriptive statistics

Standard deviation16069.877
Coefficient of variation (CV)0.11314958
Kurtosis0.63786809
Mean142023.3
Median Absolute Deviation (MAD)18917
Skewness-0.95323465
Sum5254862
Variance2.5824094 × 108
MonotonicityNot monotonic
2023-12-11T19:32:17.859394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
156800 8
21.6%
156801 6
16.2%
158806 2
 
5.4%
121880 1
 
2.7%
100273 1
 
2.7%
130811 1
 
2.7%
130810 1
 
2.7%
130110 1
 
2.7%
130865 1
 
2.7%
130878 1
 
2.7%
Other values (14) 14
37.8%
ValueCountFrequency (%)
100273 1
2.7%
100859 1
2.7%
110828 1
2.7%
121880 1
2.7%
130110 1
2.7%
130810 1
2.7%
130811 1
2.7%
130865 1
2.7%
130878 1
2.7%
136075 1
2.7%
ValueCountFrequency (%)
158806 2
 
5.4%
156801 6
16.2%
156800 8
21.6%
139942 1
 
2.7%
139821 1
 
2.7%
137883 1
 
2.7%
137881 1
 
2.7%
137867 1
 
2.7%
137861 1
 
2.7%
137858 1
 
2.7%

건물소유구분명
Categorical

Distinct3
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size428.0 B
<NA>
26 
자가
6 
임대
5 

Length

Max length4
Median length4
Mean length3.4054054
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 26
70.3%
자가 6
 
16.2%
임대 5
 
13.5%

Length

2023-12-11T19:32:18.024259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:32:18.186578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
70.3%
자가 6
 
16.2%
임대 5
 
13.5%

년도
Real number (ℝ)

Distinct9
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.7838
Minimum2001
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T19:32:18.284999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2001
5-th percentile2003
Q12007
median2011
Q32011
95-th percentile2015
Maximum2015
Range14
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3758549
Coefficient of variation (CV)0.0016797105
Kurtosis0.31232675
Mean2009.7838
Median Absolute Deviation (MAD)3
Skewness-0.55375813
Sum74362
Variance11.396396
MonotonicityNot monotonic
2023-12-11T19:32:18.425827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
2011 14
37.8%
2007 7
18.9%
2014 4
 
10.8%
2008 4
 
10.8%
2015 3
 
8.1%
2003 2
 
5.4%
2010 1
 
2.7%
2009 1
 
2.7%
2001 1
 
2.7%
ValueCountFrequency (%)
2001 1
 
2.7%
2003 2
 
5.4%
2007 7
18.9%
2008 4
 
10.8%
2009 1
 
2.7%
2010 1
 
2.7%
2011 14
37.8%
2014 4
 
10.8%
2015 3
 
8.1%
ValueCountFrequency (%)
2015 3
 
8.1%
2014 4
 
10.8%
2011 14
37.8%
2010 1
 
2.7%
2009 1
 
2.7%
2008 4
 
10.8%
2007 7
18.9%
2003 2
 
5.4%
2001 1
 
2.7%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size169.0 B
False
37 
ValueCountFrequency (%)
False 37
100.0%
2023-12-11T19:32:18.540463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

위생업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
공중이용시설
37 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공중이용시설 37
100.0%

Length

2023-12-11T19:32:18.667903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:32:18.818191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공중이용시설 37
100.0%

위생업태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
학원
37 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
학원 37
100.0%

Length

2023-12-11T19:32:18.940006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:32:19.035288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학원 37
100.0%

전화번호
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing18
Missing (%)48.6%
Memory size428.0 B
2023-12-11T19:32:19.164397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.736842
Min length7

Characters and Unicode

Total characters204
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)100.0%

Sample

1st row3227911
2nd row02 815 7819
3rd row02 814 3114
4th row02 817 2577
5th row02 815 6400
ValueCountFrequency (%)
02 12
29.3%
815 2
 
4.9%
817 2
 
4.9%
3227911 1
 
2.4%
564 1
 
2.4%
0226491881 1
 
2.4%
9241468 1
 
2.4%
3335 1
 
2.4%
02922 1
 
2.4%
1881 1
 
2.4%
Other values (18) 18
43.9%
2023-12-11T19:32:19.505302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 34
16.7%
33
16.2%
0 29
14.2%
1 23
11.3%
8 17
8.3%
3 15
7.4%
5 13
 
6.4%
7 12
 
5.9%
4 12
 
5.9%
9 9
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 171
83.8%
Space Separator 33
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 34
19.9%
0 29
17.0%
1 23
13.5%
8 17
9.9%
3 15
8.8%
5 13
 
7.6%
7 12
 
7.0%
4 12
 
7.0%
9 9
 
5.3%
6 7
 
4.1%
Space Separator
ValueCountFrequency (%)
33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 204
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 34
16.7%
33
16.2%
0 29
14.2%
1 23
11.3%
8 17
8.3%
3 15
7.4%
5 13
 
6.4%
7 12
 
5.9%
4 12
 
5.9%
9 9
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 204
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 34
16.7%
33
16.2%
0 29
14.2%
1 23
11.3%
8 17
8.3%
3 15
7.4%
5 13
 
6.4%
7 12
 
5.9%
4 12
 
5.9%
9 9
 
4.4%

위치정보(X)
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)88.9%
Missing1
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean198450.02
Minimum188381.11
Maximum205576.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T19:32:19.626035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum188381.11
5-th percentile192398.17
Q1194887.03
median199083.37
Q3202237.91
95-th percentile205268.25
Maximum205576.58
Range17195.468
Interquartile range (IQR)7350.8784

Descriptive statistics

Standard deviation4622.3897
Coefficient of variation (CV)0.023292463
Kurtosis-0.805271
Mean198450.02
Median Absolute Deviation (MAD)3869.5239
Skewness-0.29562153
Sum7144200.7
Variance21366486
MonotonicityNot monotonic
2023-12-11T19:32:19.763316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
195155.040319 2
 
5.4%
194690.548105 2
 
5.4%
195272.653748 2
 
5.4%
194887.033831 2
 
5.4%
193725.671731 1
 
2.7%
205576.582009 1
 
2.7%
202026.320733 1
 
2.7%
197226.173622 1
 
2.7%
205454.320256 1
 
2.7%
205206.228265 1
 
2.7%
Other values (22) 22
59.5%
ValueCountFrequency (%)
188381.113917 1
2.7%
188415.657757 1
2.7%
193725.671731 1
2.7%
194480.644108 1
2.7%
194572.727074 1
2.7%
194690.548105 2
5.4%
194699.888712 1
2.7%
194887.033831 2
5.4%
195009.205596 1
2.7%
195049.67033 1
2.7%
ValueCountFrequency (%)
205576.582009 1
2.7%
205454.320256 1
2.7%
205206.228265 1
2.7%
203505.447981 1
2.7%
202563.165683 1
2.7%
202489.827703 1
2.7%
202367.916747 1
2.7%
202333.110312 1
2.7%
202317.735647 1
2.7%
202211.304378 1
2.7%

위치정보(Y)
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)88.9%
Missing1
Missing (%)2.7%
Infinite0
Infinite (%)0.0%
Mean448425.49
Minimum442501.27
Maximum461991.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-11T19:32:19.886691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum442501.27
5-th percentile443536.66
Q1445945.57
median445977.39
Q3452684.83
95-th percentile457392.74
Maximum461991.37
Range19490.094
Interquartile range (IQR)6739.264

Descriptive statistics

Standard deviation4949.3101
Coefficient of variation (CV)0.011037085
Kurtosis1.0556456
Mean448425.49
Median Absolute Deviation (MAD)1583.0635
Skewness1.2679626
Sum16143318
Variance24495670
MonotonicityNot monotonic
2023-12-11T19:32:20.034661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
446063.093855 2
 
5.4%
445950.556034 2
 
5.4%
445959.603308 2
 
5.4%
445977.386432 2
 
5.4%
450452.271694 1
 
2.7%
454289.21023 1
 
2.7%
452788.112753 1
 
2.7%
451169.458846 1
 
2.7%
461991.367941 1
 
2.7%
461626.773515 1
 
2.7%
Other values (22) 22
59.5%
ValueCountFrequency (%)
442501.274201 1
2.7%
443127.43862 1
2.7%
443673.073429 1
2.7%
443917.583611 1
2.7%
443949.370528 1
2.7%
444306.318512 1
2.7%
444482.327322 1
2.7%
444623.900837 1
2.7%
445932.321588 1
2.7%
445949.980792 1
2.7%
ValueCountFrequency (%)
461991.367941 1
2.7%
461626.773515 1
2.7%
455981.391477 1
2.7%
454289.21023 1
2.7%
454274.272253 1
2.7%
453273.960704 1
2.7%
453023.599145 1
2.7%
452954.587567 1
2.7%
452788.112753 1
2.7%
452650.402462 1
2.7%

인허가번호
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-11T19:32:20.261358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters814
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row3130000-210-2003-00001
2nd row3190000-210-2011-00001
3rd row3190000-210-2011-00006
4th row3190000-210-2011-00018
5th row3190000-210-2011-00019
ValueCountFrequency (%)
3130000-210-2003-00001 1
 
2.7%
3210000-210-2008-00015 1
 
2.7%
3210000-210-2011-00009 1
 
2.7%
3210000-210-2011-00010 1
 
2.7%
3210000-210-2011-00011 1
 
2.7%
3210000-210-2011-00012 1
 
2.7%
3000000-210-2008-00227 1
 
2.7%
3010000-210-2007-00405 1
 
2.7%
3010000-210-2007-00406 1
 
2.7%
3100000-210-2015-00107 1
 
2.7%
Other values (27) 27
73.0%
2023-12-11T19:32:20.584378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 370
45.5%
1 124
 
15.2%
- 111
 
13.6%
2 95
 
11.7%
3 43
 
5.3%
9 18
 
2.2%
7 15
 
1.8%
4 13
 
1.6%
5 12
 
1.5%
8 7
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 703
86.4%
Dash Punctuation 111
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 370
52.6%
1 124
 
17.6%
2 95
 
13.5%
3 43
 
6.1%
9 18
 
2.6%
7 15
 
2.1%
4 13
 
1.8%
5 12
 
1.7%
8 7
 
1.0%
6 6
 
0.9%
Dash Punctuation
ValueCountFrequency (%)
- 111
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 814
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 370
45.5%
1 124
 
15.2%
- 111
 
13.6%
2 95
 
11.7%
3 43
 
5.3%
9 18
 
2.2%
7 15
 
1.8%
4 13
 
1.6%
5 12
 
1.5%
8 7
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 814
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 370
45.5%
1 124
 
15.2%
- 111
 
13.6%
2 95
 
11.7%
3 43
 
5.3%
9 18
 
2.2%
7 15
 
1.8%
4 13
 
1.6%
5 12
 
1.5%
8 7
 
0.9%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
영업
37 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 37
100.0%

Length

2023-12-11T19:32:20.708355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T19:32:20.796952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 37
100.0%

Sample

번호사업장명소재지전체주소도로명전체주소인허가일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적소재지우편번호건물소유구분명년도다중이용업소여부위생업종명위생업태명전화번호위치정보(X)위치정보(Y)인허가번호상세영업상태명
01클릭전원미술학원서울특별시 마포구 창전동 6-4번지서울특별시 마포구 와우산로 138 (창전동)20030701운영중<NA><NA><NA><NA>2180.99121880자가2003N공중이용시설학원3227911193725.671731450452.2716943130000-210-2003-00001영업
12고려직업전문학교서울특별시 동작구 노량진동 128-2번지서울특별시 동작구 노량진로 186 (노량진동)20110103운영중<NA><NA><NA><NA>4196.0156801<NA>2011N공중이용시설학원<NA>195272.653748445959.6033083190000-210-2011-00001영업
23노량진행정고시학원서울특별시 동작구 노량진동 151-10번지서울특별시 동작구 노량진로 171 (노량진동)20110103운영중<NA><NA><NA><NA>6554.42156801<NA>2011N공중이용시설학원02 815 7819195155.040319446063.0938553190000-210-2011-00006영업
34박문각임용고시학원서울특별시 동작구 노량진동 151-10번지서울특별시 동작구 노량진로 171 (노량진동)20110103운영중<NA><NA><NA><NA><NA>156801<NA>2011N공중이용시설학원<NA>195155.040319446063.0938553190000-210-2011-00018영업
45노량진메가스터디입시어학원서울특별시 동작구 노량진동 45-3번지서울특별시 동작구 장승배기로 171 (노량진동)20110103운영중<NA><NA><NA><NA>5400.58156800<NA>2011N공중이용시설학원<NA>194690.548105445950.5560343190000-210-2011-00019영업
56케이지패스원한교고시학원서울특별시 동작구 노량진동 45-3번지서울특별시 동작구 장승배기로 171 (노량진동)20110103운영중<NA><NA><NA><NA>2942.13156800<NA>2011N공중이용시설학원<NA>194690.548105445950.5560343190000-210-2011-00020영업
67대성학원서울특별시 동작구 노량진동 46-6번지서울특별시 동작구 노량진로 120 (노량진동)20110103운영중<NA><NA><NA><NA>8426.33156800<NA>2011N공중이용시설학원02 814 3114194699.888712445954.5795593190000-210-2011-00021영업
78희소고시학원서울특별시 동작구 노량진동 71-2번지서울특별시 동작구 노량진로 146 (노량진동)20110103운영중<NA><NA><NA><NA>2410.18156800<NA>2011N공중이용시설학원<NA>194887.033831445977.3864323190000-210-2011-00022영업
89이데아빌딩서울특별시 동작구 노량진동 71-2번지 1,3,7,8층서울특별시 동작구 노량진로 146 (노량진동)20110103운영중<NA><NA><NA><NA>2356.0156800<NA>2011N공중이용시설학원02 817 2577194887.033831445977.3864323190000-210-2011-00023영업
910노량진비타에듀3.0입시학원서울특별시 동작구 노량진동 128-2번지서울특별시 동작구 노량진로 186, 2,3층 (노량진동)20110103운영중<NA><NA><NA><NA><NA>156801<NA>2011N공중이용시설학원<NA>195272.653748445959.6033083190000-210-2011-00070영업
번호사업장명소재지전체주소도로명전체주소인허가일자영업상태명폐업일자휴업시작일자휴업종료일자재개업일자소재지면적소재지우편번호건물소유구분명년도다중이용업소여부위생업종명위생업태명전화번호위치정보(X)위치정보(Y)인허가번호상세영업상태명
2728종로학원서울특별시 중구 중림동 363번지 종로학원서울특별시 중구 청파로 456 (중림동,종로학원)20070331운영중<NA><NA><NA><NA>3227.94100859<NA>2007N공중이용시설학원02 392 1881197226.173622451169.4588463010000-210-2007-00406영업
2829상계세일학원서울특별시 노원구 상계동 591-7번지서울특별시 노원구 상계로1길 34 (상계동)20150427운영중<NA><NA><NA><NA>2144.0139821<NA>2015N공중이용시설학원<NA>205454.320256461991.3679413100000-210-2015-00107영업
2930강북메가스터디 입시학원서울특별시 노원구 상계동 709-2번지서울특별시 노원구 노해로 459 (상계동)20150427운영중<NA><NA><NA><NA>2712.0139942<NA>2015N공중이용시설학원<NA>205206.228265461626.7735153100000-210-2015-00108영업
3031삼육외국어학원서울특별시 동대문구 휘경동 287-1번지서울특별시 동대문구 망우로18길 33 (휘경동)20070405운영중<NA><NA><NA><NA>5644.0130878자가2007N공중이용시설학원<NA>205576.582009454289.210233050000-210-2007-00249영업
3132제일학원서울특별시 동대문구 제기동 1015번지 경동빌딩2~6층 (왕산로 285)서울특별시 동대문구 왕산로 147 (제기동,경동빌딩2~6층 (왕산로 285))20070405운영중<NA><NA><NA><NA>3762.0130865자가2007N공중이용시설학원<NA>203505.447981453273.9607043050000-210-2007-00214영업
3233수도학원서울특별시 동대문구 신설동 131-50번지 (왕산로 137)서울특별시 동대문구 보문로 6 (신설동,(왕산로 137))20070405운영중<NA><NA><NA><NA>2862.0130110자가2007N공중이용시설학원02922 3335202078.607756452954.5875673050000-210-2007-00058영업
3334우성빌딩(비타에듀학원)서울특별시 동대문구 신설동 76-34번지 (한빛길 16)서울특별시 동대문구 한빛로 12 (신설동,(한빛길 16))20070405운영중<NA><NA><NA><NA>7368.0130810자가2007N공중이용시설학원02 9241468202198.575843453023.5991453050000-210-2007-00060영업
3435동양빌딩(주-IT뱅크멀티캠퍼스학원)서울특별시 동대문구 신설동 98-27번지<NA>20150421운영중<NA><NA><NA><NA><NA>130811<NA>2015N공중이용시설학원<NA>202211.304378452650.4024623050000-210-2015-00017영업
3536청담어학원서울특별시 양천구 목동 408-121번지 서원빌딩 지상4,5층서울특별시 양천구 오목로 282, 지상4,5층 (목동, 서원빌딩)20030929운영중<NA><NA><NA><NA>4009.06158806자가2003N공중이용시설학원0226491881188381.113917447307.416843140000-210-2003-00022영업
3637목동종로입시학원서울특별시 양천구 목동 408-116번지서울특별시 양천구 오목로 284 (목동)20011207운영중<NA><NA><NA><NA>2257.76158806임대2001N공중이용시설학원0226492881188415.657757447304.1319063140000-210-2001-00012영업