Overview

Dataset statistics

Number of variables21
Number of observations3777
Missing cells30242
Missing cells (%)38.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory664.1 KiB
Average record size in memory180.0 B

Variable types

Text4
Categorical6
Numeric2
Unsupported8
DateTime1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름) 전국데이터의 경우 API 서비스를 이용해주시기 바랍니다.
URLhttps://www.data.go.kr/data/15034530/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
시군구코드 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
가맹점유형코드 is highly imbalanced (70.6%)Imbalance
평일운영시작시각 has 3777 (100.0%) missing valuesMissing
평일운영종료시각 has 3777 (100.0%) missing valuesMissing
토요일운영시작시각 has 3777 (100.0%) missing valuesMissing
토요일운영종료시각 has 3777 (100.0%) missing valuesMissing
공휴일운영시작시각 has 3777 (100.0%) missing valuesMissing
공휴일운영종료시각 has 3777 (100.0%) missing valuesMissing
배달시작시각 has 3777 (100.0%) missing valuesMissing
배달종료시각 has 3777 (100.0%) missing valuesMissing
평일운영시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
평일운영종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
토요일운영시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
토요일운영종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공휴일운영시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공휴일운영종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배달시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
배달종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 23:24:20.351278
Analysis finished2023-12-12 23:24:21.075592
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

가맹점명
Text

Distinct3603
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
2023-12-13T08:24:21.276169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length6.8091078
Min length1

Characters and Unicode

Total characters25718
Distinct characters840
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3485 ?
Unique (%)92.3%

Sample

1st row(BHC)답십리점
2nd row(유) 한국맥도날드 전농점
3rd row(유)아웃백스테이크하우스 청량리역사점
4th row(유)아웃백스테이크하우스코리아경희대
5th row(유)아웃백스테이크하우스코리아장안점
ValueCountFrequency (%)
gs25 60
 
1.2%
장안점 57
 
1.1%
세븐일레븐 41
 
0.8%
경희대점 40
 
0.8%
답십리점 36
 
0.7%
주)코리아세븐 34
 
0.7%
씨유 30
 
0.6%
씨유(cu 29
 
0.6%
이마트24 27
 
0.5%
주식회사 23
 
0.5%
Other values (3874) 4589
92.4%
2023-12-13T08:24:21.671193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1189
 
4.6%
점 1000
 
3.9%
리 586
 
2.3%
이 533
 
2.1%
대 457
 
1.8%
장 387
 
1.5%
식 382
 
1.5%
( 345
 
1.3%
) 344
 
1.3%
스 337
 
1.3%
Other values (830) 20158
78.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22098
85.9%
Space Separator 1189
 
4.6%
Uppercase Letter 674
 
2.6%
Decimal Number 559
 
2.2%
Lowercase Letter 432
 
1.7%
Open Punctuation 345
 
1.3%
Close Punctuation 344
 
1.3%
Other Punctuation 58
 
0.2%
Dash Punctuation 8
 
< 0.1%
Modifier Symbol 7
 
< 0.1%
Other values (3) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1000
 
4.5%
리 586
 
2.7%
이 533
 
2.4%
대 457
 
2.1%
장 387
 
1.8%
식 382
 
1.7%
스 337
 
1.5%
당 281
 
1.3%
안 273
 
1.2%
마 272
 
1.2%
Other values (759) 17590
79.6%
Uppercase Letter
ValueCountFrequency (%)
S 118
17.5%
G 106
15.7%
C 91
13.5%
U 71
10.5%
B 32
 
4.7%
A 25
 
3.7%
E 24
 
3.6%
K 21
 
3.1%
H 19
 
2.8%
O 19
 
2.8%
Other values (15) 148
22.0%
Lowercase Letter
ValueCountFrequency (%)
e 57
13.2%
a 47
10.9%
o 34
 
7.9%
r 29
 
6.7%
i 29
 
6.7%
t 27
 
6.2%
n 27
 
6.2%
l 25
 
5.8%
s 25
 
5.8%
m 19
 
4.4%
Other values (15) 113
26.2%
Decimal Number
ValueCountFrequency (%)
2 205
36.7%
5 131
23.4%
4 68
 
12.2%
1 49
 
8.8%
0 33
 
5.9%
9 27
 
4.8%
8 13
 
2.3%
7 11
 
2.0%
3 11
 
2.0%
6 11
 
2.0%
Other Punctuation
ValueCountFrequency (%)
& 30
51.7%
. 23
39.7%
, 5
 
8.6%
Space Separator
ValueCountFrequency (%)
1189
100.0%
Open Punctuation
ValueCountFrequency (%)
( 345
100.0%
Close Punctuation
ValueCountFrequency (%)
) 344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Modifier Symbol
ValueCountFrequency (%)
´ 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22094
85.9%
Common 2514
 
9.8%
Latin 1106
 
4.3%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1000
 
4.5%
리 586
 
2.7%
이 533
 
2.4%
대 457
 
2.1%
장 387
 
1.8%
식 382
 
1.7%
스 337
 
1.5%
당 281
 
1.3%
안 273
 
1.2%
마 272
 
1.2%
Other values (755) 17586
79.6%
Latin
ValueCountFrequency (%)
S 118
 
10.7%
G 106
 
9.6%
C 91
 
8.2%
U 71
 
6.4%
e 57
 
5.2%
a 47
 
4.2%
o 34
 
3.1%
B 32
 
2.9%
r 29
 
2.6%
i 29
 
2.6%
Other values (40) 492
44.5%
Common
ValueCountFrequency (%)
1189
47.3%
( 345
 
13.7%
) 344
 
13.7%
2 205
 
8.2%
5 131
 
5.2%
4 68
 
2.7%
1 49
 
1.9%
0 33
 
1.3%
& 30
 
1.2%
9 27
 
1.1%
Other values (11) 93
 
3.7%
Han
ValueCountFrequency (%)
辛 1
25.0%
元 1
25.0%
流 1
25.0%
李 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22094
85.9%
ASCII 3612
 
14.0%
None 7
 
< 0.1%
CJK 3
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1189
32.9%
( 345
 
9.6%
) 344
 
9.5%
2 205
 
5.7%
5 131
 
3.6%
S 118
 
3.3%
G 106
 
2.9%
C 91
 
2.5%
U 71
 
2.0%
4 68
 
1.9%
Other values (59) 944
26.1%
Hangul
ValueCountFrequency (%)
점 1000
 
4.5%
리 586
 
2.7%
이 533
 
2.4%
대 457
 
2.1%
장 387
 
1.8%
식 382
 
1.7%
스 337
 
1.5%
당 281
 
1.3%
안 273
 
1.2%
마 272
 
1.2%
Other values (755) 17586
79.6%
None
ValueCountFrequency (%)
´ 7
100.0%
CJK
ValueCountFrequency (%)
辛 1
33.3%
元 1
33.3%
流 1
33.3%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%

가맹점유형코드
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
1
3410 
3
364 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 3410
90.3%
3 364
 
9.6%
2 3
 
0.1%

Length

2023-12-13T08:24:21.801650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:21.887574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3410
90.3%
3 364
 
9.6%
2 3
 
0.1%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
서울특별시
3777 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서울특별시 3777
100.0%

Length

2023-12-13T08:24:21.987215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:22.081723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 3777
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
동대문구
3777 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동대문구 3777
100.0%

Length

2023-12-13T08:24:22.188361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:22.291268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동대문구 3777
100.0%

시군구코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
11230
3777 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row11230
2nd row11230
3rd row11230
4th row11230
5th row11230

Common Values

ValueCountFrequency (%)
11230 3777
100.0%

Length

2023-12-13T08:24:22.415863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:22.518597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
11230 3777
100.0%

소재지도로명주소
Text

Distinct2568
Distinct (%)68.5%
Missing26
Missing (%)0.7%
Memory size29.6 KiB
2023-12-13T08:24:22.796932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length22
Mean length18.378566
Min length14

Characters and Unicode

Total characters68938
Distinct characters81
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1885 ?
Unique (%)50.3%

Sample

1st row서울특별시 동대문구 전농로65-1
2nd row서울특별시 동대문구 전농로16길8
3rd row서울특별시 동대문구 왕산로214
4th row서울특별시 동대문구 이문로17
5th row서울특별시 동대문구 장한로105
ValueCountFrequency (%)
서울특별시 3751
33.3%
동대문구 3751
33.3%
왕산로214 26
 
0.2%
고산자로36길3 22
 
0.2%
한천로58길47 15
 
0.1%
천호대로4길19-3 15
 
0.1%
장안벚꽃로107 13
 
0.1%
정릉천동로58 12
 
0.1%
경희대로23 12
 
0.1%
천호대로4길21 11
 
0.1%
Other values (2560) 3625
32.2%
2023-12-13T08:24:23.231552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7502
 
10.9%
대 4343
 
6.3%
문 3950
 
5.7%
시 3934
 
5.7%
서 3862
 
5.6%
울 3848
 
5.6%
동 3840
 
5.6%
특 3751
 
5.4%
별 3751
 
5.4%
구 3751
 
5.4%
Other values (71) 26406
38.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48895
70.9%
Decimal Number 11972
 
17.4%
Space Separator 7502
 
10.9%
Dash Punctuation 569
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 4343
8.9%
문 3950
 
8.1%
시 3934
 
8.0%
서 3862
 
7.9%
울 3848
 
7.9%
동 3840
 
7.9%
특 3751
 
7.7%
별 3751
 
7.7%
구 3751
 
7.7%
로 3732
 
7.6%
Other values (59) 10133
20.7%
Decimal Number
ValueCountFrequency (%)
1 2629
22.0%
2 1928
16.1%
3 1352
11.3%
4 1127
9.4%
6 1040
 
8.7%
5 919
 
7.7%
8 851
 
7.1%
7 821
 
6.9%
0 660
 
5.5%
9 645
 
5.4%
Space Separator
ValueCountFrequency (%)
7502
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 569
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48895
70.9%
Common 20043
29.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 4343
8.9%
문 3950
 
8.1%
시 3934
 
8.0%
서 3862
 
7.9%
울 3848
 
7.9%
동 3840
 
7.9%
특 3751
 
7.7%
별 3751
 
7.7%
구 3751
 
7.7%
로 3732
 
7.6%
Other values (59) 10133
20.7%
Common
ValueCountFrequency (%)
7502
37.4%
1 2629
 
13.1%
2 1928
 
9.6%
3 1352
 
6.7%
4 1127
 
5.6%
6 1040
 
5.2%
5 919
 
4.6%
8 851
 
4.2%
7 821
 
4.1%
0 660
 
3.3%
Other values (2) 1214
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48895
70.9%
ASCII 20043
29.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7502
37.4%
1 2629
 
13.1%
2 1928
 
9.6%
3 1352
 
6.7%
4 1127
 
5.6%
6 1040
 
5.2%
5 919
 
4.6%
8 851
 
4.2%
7 821
 
4.1%
0 660
 
3.3%
Other values (2) 1214
 
6.1%
Hangul
ValueCountFrequency (%)
대 4343
8.9%
문 3950
 
8.1%
시 3934
 
8.0%
서 3862
 
7.9%
울 3848
 
7.9%
동 3840
 
7.9%
특 3751
 
7.7%
별 3751
 
7.7%
구 3751
 
7.7%
로 3732
 
7.6%
Other values (59) 10133
20.7%

소재지지번주소
Text

Distinct2547
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
2023-12-13T08:24:23.541308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.28144
Min length10

Characters and Unicode

Total characters72826
Distinct characters41
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1865 ?
Unique (%)49.4%

Sample

1st row서울특별시 동대문구 답십리동257-3
2nd row서울특별시 동대문구 전농동295-96
3rd row서울특별시 동대문구 전농동591-53
4th row서울특별시 동대문구 회기동77-7
5th row서울특별시 동대문구 장안동372-5
ValueCountFrequency (%)
서울특별시 3777
33.4%
동대문구 3777
33.4%
전농동591-53 27
 
0.2%
신설동109-5 26
 
0.2%
회기동1-5 25
 
0.2%
제기동1019 21
 
0.2%
이문동64 15
 
0.1%
장안동336 13
 
0.1%
용두동790 12
 
0.1%
전농동10 10
 
0.1%
Other values (2538) 3605
31.9%
2023-12-13T08:24:23.978804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7531
 
10.3%
동 7531
 
10.3%
문 4119
 
5.7%
서 3777
 
5.2%
울 3777
 
5.2%
특 3777
 
5.2%
별 3777
 
5.2%
시 3777
 
5.2%
대 3777
 
5.2%
구 3777
 
5.2%
Other values (31) 27206
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45855
63.0%
Decimal Number 16079
 
22.1%
Space Separator 7531
 
10.3%
Dash Punctuation 3361
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7531
16.4%
문 4119
9.0%
서 3777
8.2%
울 3777
8.2%
특 3777
8.2%
별 3777
8.2%
시 3777
8.2%
대 3777
8.2%
구 3777
8.2%
장 871
 
1.9%
Other values (19) 6895
15.0%
Decimal Number
ValueCountFrequency (%)
1 2809
17.5%
3 2225
13.8%
2 2149
13.4%
4 1709
10.6%
5 1394
8.7%
6 1340
8.3%
0 1204
7.5%
9 1149
7.1%
8 1119
 
7.0%
7 981
 
6.1%
Space Separator
ValueCountFrequency (%)
7531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3361
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45855
63.0%
Common 26971
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7531
16.4%
문 4119
9.0%
서 3777
8.2%
울 3777
8.2%
특 3777
8.2%
별 3777
8.2%
시 3777
8.2%
대 3777
8.2%
구 3777
8.2%
장 871
 
1.9%
Other values (19) 6895
15.0%
Common
ValueCountFrequency (%)
7531
27.9%
- 3361
12.5%
1 2809
 
10.4%
3 2225
 
8.2%
2 2149
 
8.0%
4 1709
 
6.3%
5 1394
 
5.2%
6 1340
 
5.0%
0 1204
 
4.5%
9 1149
 
4.3%
Other values (2) 2100
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45855
63.0%
ASCII 26971
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7531
27.9%
- 3361
12.5%
1 2809
 
10.4%
3 2225
 
8.2%
2 2149
 
8.0%
4 1709
 
6.3%
5 1394
 
5.2%
6 1340
 
5.0%
0 1204
 
4.5%
9 1149
 
4.3%
Other values (2) 2100
 
7.8%
Hangul
ValueCountFrequency (%)
동 7531
16.4%
문 4119
9.0%
서 3777
8.2%
울 3777
8.2%
특 3777
8.2%
별 3777
8.2%
시 3777
8.2%
대 3777
8.2%
구 3777
8.2%
장 871
 
1.9%
Other values (19) 6895
15.0%

위도
Real number (ℝ)

Distinct2592
Distinct (%)68.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.580274
Minimum37.561354
Maximum37.605594
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.3 KiB
2023-12-13T08:24:24.166547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.561354
5-th percentile37.565182
Q137.57302
median37.578652
Q337.58854
95-th percentile37.59588
Maximum37.605594
Range0.04423975
Interquartile range (IQR)0.0155193

Descriptive statistics

Standard deviation0.0098274438
Coefficient of variation (CV)0.00026150538
Kurtosis-0.75565859
Mean37.580274
Median Absolute Deviation (MAD)0.00716218
Skewness0.23918842
Sum141940.7
Variance9.6578652 × 10-5
MonotonicityNot monotonic
2023-12-13T08:24:24.321244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.58419937 26
 
0.7%
37.57903854 22
 
0.6%
37.60074755 15
 
0.4%
37.57319722 15
 
0.4%
37.5710536 13
 
0.3%
37.59377421 12
 
0.3%
37.57716357 12
 
0.3%
37.57270969 11
 
0.3%
37.59374004 11
 
0.3%
37.57665944 10
 
0.3%
Other values (2582) 3630
96.1%
ValueCountFrequency (%)
37.56135384 1
 
< 0.1%
37.56145786 1
 
< 0.1%
37.56146268 1
 
< 0.1%
37.56149964 1
 
< 0.1%
37.56150268 1
 
< 0.1%
37.56162867 1
 
< 0.1%
37.5616823 1
 
< 0.1%
37.56174599 3
0.1%
37.56184268 4
0.1%
37.56184803 2
0.1%
ValueCountFrequency (%)
37.60559359 1
< 0.1%
37.60543484 1
< 0.1%
37.6049319 1
< 0.1%
37.6048855 1
< 0.1%
37.60472965 2
0.1%
37.60455206 2
0.1%
37.60451333 1
< 0.1%
37.60432889 1
< 0.1%
37.60427697 1
< 0.1%
37.60396384 2
0.1%

경도
Real number (ℝ)

Distinct2584
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05351
Minimum127.0234
Maximum127.07585
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.3 KiB
2023-12-13T08:24:24.462989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.0234
5-th percentile127.02683
Q1127.04359
median127.05595
Q3127.06469
95-th percentile127.07185
Maximum127.07585
Range0.0524491
Interquartile range (IQR)0.0210954

Descriptive statistics

Standard deviation0.013456639
Coefficient of variation (CV)0.00010591316
Kurtosis-0.68835856
Mean127.05351
Median Absolute Deviation (MAD)0.0100917
Skewness-0.49892052
Sum479881.13
Variance0.00018108115
MonotonicityNot monotonic
2023-12-13T08:24:24.603880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.051148 26
 
0.7%
127.0391446 22
 
0.6%
127.0256235 15
 
0.4%
127.0687748 15
 
0.4%
127.0751137 13
 
0.3%
127.0507435 12
 
0.3%
127.0358094 12
 
0.3%
127.0532239 11
 
0.3%
127.0255053 11
 
0.3%
127.0615345 10
 
0.3%
Other values (2574) 3630
96.1%
ValueCountFrequency (%)
127.0234018 1
 
< 0.1%
127.0234806 1
 
< 0.1%
127.0235312 2
0.1%
127.0235361 1
 
< 0.1%
127.0236611 1
 
< 0.1%
127.0236646 1
 
< 0.1%
127.0236802 4
0.1%
127.0237685 3
0.1%
127.0238176 1
 
< 0.1%
127.0238982 2
0.1%
ValueCountFrequency (%)
127.0758509 1
 
< 0.1%
127.0757717 1
 
< 0.1%
127.075575 1
 
< 0.1%
127.075543 2
 
0.1%
127.0753163 1
 
< 0.1%
127.0752191 1
 
< 0.1%
127.0751137 13
0.3%
127.075079974 1
 
< 0.1%
127.0750493 1
 
< 0.1%
127.0749428 1
 
< 0.1%

전화번호
Text

Distinct2629
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
2023-12-13T08:24:24.772275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.727032
Min length11

Characters and Unicode

Total characters44293
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

Unique2559 ?
Unique (%)67.8%

Sample

1st row02-2212-1222
2nd row070-7017-0548
3rd row02-3295-4842
4th row02-3019-7142
5th row02-2249-0461
ValueCountFrequency (%)
02-0000-0000 908
 
24.0%
02-1577-0711 62
 
1.6%
02-1577-8007 42
 
1.1%
02-2111-1111 11
 
0.3%
02-8111-1111 9
 
0.2%
02-961-0234 9
 
0.2%
02-5111-1111 8
 
0.2%
02-3111-1111 8
 
0.2%
02-4111-1111 6
 
0.2%
02-6111-1111 6
 
0.2%
Other values (2619) 2708
71.7%
2023-12-13T08:24:25.049203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12896
29.1%
- 7554
17.1%
2 7512
17.0%
9 2779
 
6.3%
1 2334
 
5.3%
4 2033
 
4.6%
6 2023
 
4.6%
7 1943
 
4.4%
3 1839
 
4.2%
5 1801
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 36739
82.9%
Dash Punctuation 7554
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12896
35.1%
2 7512
20.4%
9 2779
 
7.6%
1 2334
 
6.4%
4 2033
 
5.5%
6 2023
 
5.5%
7 1943
 
5.3%
3 1839
 
5.0%
5 1801
 
4.9%
8 1579
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 7554
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 44293
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 12896
29.1%
- 7554
17.1%
2 7512
17.0%
9 2779
 
6.3%
1 2334
 
5.3%
4 2033
 
4.6%
6 2023
 
4.6%
7 1943
 
4.4%
3 1839
 
4.2%
5 1801
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44293
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12896
29.1%
- 7554
17.1%
2 7512
17.0%
9 2779
 
6.3%
1 2334
 
5.3%
4 2033
 
4.6%
6 2023
 
4.6%
7 1943
 
4.4%
3 1839
 
4.2%
5 1801
 
4.1%

평일운영시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3777
Missing (%)100.0%
Memory size33.3 KiB

평일운영종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3777
Missing (%)100.0%
Memory size33.3 KiB

토요일운영시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3777
Missing (%)100.0%
Memory size33.3 KiB

토요일운영종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3777
Missing (%)100.0%
Memory size33.3 KiB

공휴일운영시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3777
Missing (%)100.0%
Memory size33.3 KiB

공휴일운영종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3777
Missing (%)100.0%
Memory size33.3 KiB

배달시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3777
Missing (%)100.0%
Memory size33.3 KiB

배달종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3777
Missing (%)100.0%
Memory size33.3 KiB

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
서울특별시 동대문구청
3777 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 동대문구청
2nd row서울특별시 동대문구청
3rd row서울특별시 동대문구청
4th row서울특별시 동대문구청
5th row서울특별시 동대문구청

Common Values

ValueCountFrequency (%)
서울특별시 동대문구청 3777
100.0%

Length

2023-12-13T08:24:25.462073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:25.552011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 3777
50.0%
동대문구청 3777
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
02-2127-4243
3777 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2127-4243
2nd row02-2127-4243
3rd row02-2127-4243
4th row02-2127-4243
5th row02-2127-4243

Common Values

ValueCountFrequency (%)
02-2127-4243 3777
100.0%

Length

2023-12-13T08:24:25.662423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:24:25.752541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2127-4243 3777
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.6 KiB
Minimum2023-08-30 00:00:00
Maximum2023-08-30 00:00:00
2023-12-13T08:24:25.825191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:24:25.920480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

가맹점명가맹점유형코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도전화번호평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각배달시작시각배달종료시각관리기관명관리기관전화번호데이터기준일자
0(BHC)답십리점1서울특별시동대문구11230서울특별시 동대문구 전농로65-1서울특별시 동대문구 답십리동257-337.570821127.05701202-2212-1222<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
1(유) 한국맥도날드 전농점1서울특별시동대문구11230서울특별시 동대문구 전농로16길8서울특별시 동대문구 전농동295-9637.578288127.057789070-7017-0548<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
2(유)아웃백스테이크하우스 청량리역사점1서울특별시동대문구11230서울특별시 동대문구 왕산로214서울특별시 동대문구 전농동591-5337.584199127.05114802-3295-4842<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
3(유)아웃백스테이크하우스코리아경희대1서울특별시동대문구11230서울특별시 동대문구 이문로17서울특별시 동대문구 회기동77-737.589681127.05495102-3019-7142<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
4(유)아웃백스테이크하우스코리아장안점1서울특별시동대문구11230서울특별시 동대문구 장한로105서울특별시 동대문구 장안동372-537.570085127.06994802-2249-0461<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
5(주) 기야마1서울특별시동대문구11230서울특별시 동대문구 한빛로28서울특별시 동대문구 신설동2137.577867127.02593602-737-9360<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
6(주) 세운에프에스 도미노피자고대점1서울특별시동대문구11230서울특별시 동대문구 안암로82서울특별시 동대문구 제기동1152-437.583201127.03029402-963-9451<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
7(주) 정정당당1서울특별시동대문구11230서울특별시 동대문구 천호대로395-2서울특별시 동대문구 장안동416-1037.562039127.06314402-3394-8870<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
8(주) 케이엔엘푸드 (채선당 답십리점)1서울특별시동대문구11230서울특별시 동대문구 사가정로6서울특별시 동대문구 답십리동498-737.570161127.04951602-2242-2001<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
9(주) 코리아세븐 청계스카이렉스점3서울특별시동대문구11230서울특별시 동대문구 청계천로417서울특별시 동대문구 신설동109-1337.572003127.02390702-1577-0711<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
가맹점명가맹점유형코드시도명시군구명시군구코드소재지도로명주소소재지지번주소위도경도전화번호평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각배달시작시각배달종료시각관리기관명관리기관전화번호데이터기준일자
3767히노아지1서울특별시동대문구11230서울특별시 동대문구 답십리로288서울특별시 동대문구 장안동368-137.571924127.07238202-2115-1933<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
3768히랑1서울특별시동대문구11230서울특별시 동대문구 답십리로66길66서울특별시 동대문구 장안동167-437.569781127.06683902-0000-0000<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
3769히로식당1서울특별시동대문구11230서울특별시 동대문구 서울시립대로29길29서울특별시 동대문구 전농동152-4837.584967127.05473902-0000-0000<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
3770히비야1서울특별시동대문구11230서울특별시 동대문구 회기로21길29서울특별시 동대문구 회기동16-137.592712127.05314602-555-1239<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
3771히요코스 라이스볼1서울특별시동대문구11230서울특별시 동대문구 장한로28가길1서울특별시 동대문구 장안동309-437.573069127.07244702-3394-6001<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
3772힐링식탁1서울특별시동대문구11230서울특별시 동대문구 안암로160-1서울특별시 동대문구 제기동137-1837.588794127.03552102-927-8825<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
3773힘난다버거 용두점1서울특별시동대문구11230서울특별시 동대문구 왕산로68서울특별시 동대문구 용두동119-137.577485127.03089902-953-1005<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
3774힘찬장어1서울특별시동대문구11230서울특별시 동대문구 장한로18길6서울특별시 동대문구 장안동363-1337.567565127.06918702-3394-5702<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
3775힘찬풍천장어1서울특별시동대문구11230서울특별시 동대문구 난계로252서울특별시 동대문구 신설동117-537.5741127.02366502-2231-9743<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30
3776李오바지락칼국수1서울특별시동대문구11230서울특별시 동대문구 천호대로77길22서울특별시 동대문구 장안동408-137.563179127.06140902-3394-5202<NA><NA><NA><NA><NA><NA><NA><NA>서울특별시 동대문구청02-2127-42432023-08-30