Overview

Dataset statistics

Number of variables7
Number of observations4898
Missing cells3
Missing cells (%)< 0.1%
Duplicate rows328
Duplicate rows (%)6.7%
Total size in memory268.0 KiB
Average record size in memory56.0 B

Variable types

Categorical2
DateTime1
Text4

Dataset

Description서울특별시 중랑구 관내의 음식점현황(업종명, 업소명, 주소 등) 제공합니다. 데이터내용은 업종명, 허가신고일, 업소명, 소재지도로명, 소재지지번, 영업장면적, 업태명으로 구성되어있습니다 참고해주시기바랍니다. 감사합니다.
Author서울특별시 중랑구
URLhttps://www.data.go.kr/data/15035759/fileData.do

Alerts

Dataset has 328 (6.7%) duplicate rowsDuplicates
업종명 is highly overall correlated with 업태명High correlation
업태명 is highly overall correlated with 업종명High correlation

Reproduction

Analysis started2023-12-12 07:13:50.493420
Analysis finished2023-12-12 07:13:51.842397
Duration1.35 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size38.4 KiB
일반음식점
3843 
휴게음식점
967 
제과점영업
 
88

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 3843
78.5%
휴게음식점 967
 
19.7%
제과점영업 88
 
1.8%

Length

2023-12-12T16:13:51.920999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:13:52.323354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 3843
78.5%
휴게음식점 967
 
19.7%
제과점영업 88
 
1.8%

인허가일자
Date

Distinct3082
Distinct (%)62.9%
Missing0
Missing (%)0.0%
Memory size38.4 KiB
Minimum1970-12-17 00:00:00
Maximum2023-02-07 00:00:00
2023-12-12T16:13:52.457229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:13:52.612177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct4405
Distinct (%)89.9%
Missing0
Missing (%)0.0%
Memory size38.4 KiB
2023-12-12T16:13:52.967123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length6.7160065
Min length1

Characters and Unicode

Total characters32895
Distinct characters933
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3970 ?
Unique (%)81.1%

Sample

1st row무교동 낙지나라
2nd row가고파식당
3rd row뼈다귀해장국
4th row서울식당
5th row무진장한식
ValueCountFrequency (%)
상봉점 56
 
0.9%
면목점 42
 
0.6%
중랑점 41
 
0.6%
신내점 38
 
0.6%
세븐일레븐 36
 
0.6%
씨유 31
 
0.5%
사가정역점 30
 
0.5%
망우점 28
 
0.4%
카페 27
 
0.4%
gs25 26
 
0.4%
Other values (4732) 6109
94.5%
2023-12-12T16:13:53.476194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1569
 
4.8%
점 1099
 
3.3%
이 698
 
2.1%
스 493
 
1.5%
리 426
 
1.3%
) 418
 
1.3%
( 417
 
1.3%
가 349
 
1.1%
중 322
 
1.0%
피 319
 
1.0%
Other values (923) 26785
81.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 27857
84.7%
Space Separator 1569
 
4.8%
Uppercase Letter 982
 
3.0%
Lowercase Letter 865
 
2.6%
Decimal Number 630
 
1.9%
Close Punctuation 418
 
1.3%
Open Punctuation 417
 
1.3%
Other Punctuation 153
 
0.5%
Dash Punctuation 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1099
 
3.9%
이 698
 
2.5%
스 493
 
1.8%
리 426
 
1.5%
가 349
 
1.3%
중 322
 
1.2%
피 319
 
1.1%
마 301
 
1.1%
우 292
 
1.0%
식 291
 
1.0%
Other values (845) 23267
83.5%
Uppercase Letter
ValueCountFrequency (%)
S 112
 
11.4%
C 98
 
10.0%
G 84
 
8.6%
E 74
 
7.5%
A 69
 
7.0%
B 69
 
7.0%
O 54
 
5.5%
T 40
 
4.1%
R 35
 
3.6%
P 34
 
3.5%
Other values (16) 313
31.9%
Lowercase Letter
ValueCountFrequency (%)
e 136
15.7%
a 85
 
9.8%
o 76
 
8.8%
c 60
 
6.9%
i 53
 
6.1%
f 52
 
6.0%
n 49
 
5.7%
r 45
 
5.2%
s 34
 
3.9%
t 33
 
3.8%
Other values (15) 242
28.0%
Other Punctuation
ValueCountFrequency (%)
& 62
40.5%
. 32
20.9%
, 25
16.3%
/ 10
 
6.5%
· 8
 
5.2%
' 7
 
4.6%
; 2
 
1.3%
: 2
 
1.3%
# 2
 
1.3%
* 2
 
1.3%
Decimal Number
ValueCountFrequency (%)
2 162
25.7%
5 123
19.5%
1 92
14.6%
0 76
12.1%
4 45
 
7.1%
9 35
 
5.6%
7 30
 
4.8%
3 28
 
4.4%
8 24
 
3.8%
6 15
 
2.4%
Space Separator
ValueCountFrequency (%)
1569
100.0%
Close Punctuation
ValueCountFrequency (%)
) 418
100.0%
Open Punctuation
ValueCountFrequency (%)
( 417
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
∼ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 27830
84.6%
Common 3191
 
9.7%
Latin 1847
 
5.6%
Han 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1099
 
3.9%
이 698
 
2.5%
스 493
 
1.8%
리 426
 
1.5%
가 349
 
1.3%
중 322
 
1.2%
피 319
 
1.1%
마 301
 
1.1%
우 292
 
1.0%
식 291
 
1.0%
Other values (826) 23240
83.5%
Latin
ValueCountFrequency (%)
e 136
 
7.4%
S 112
 
6.1%
C 98
 
5.3%
a 85
 
4.6%
G 84
 
4.5%
o 76
 
4.1%
E 74
 
4.0%
A 69
 
3.7%
B 69
 
3.7%
c 60
 
3.2%
Other values (41) 984
53.3%
Common
ValueCountFrequency (%)
1569
49.2%
) 418
 
13.1%
( 417
 
13.1%
2 162
 
5.1%
5 123
 
3.9%
1 92
 
2.9%
0 76
 
2.4%
& 62
 
1.9%
4 45
 
1.4%
9 35
 
1.1%
Other values (17) 192
 
6.0%
Han
ValueCountFrequency (%)
辛 5
18.5%
愛 3
 
11.1%
生 2
 
7.4%
味 2
 
7.4%
人 1
 
3.7%
金 1
 
3.7%
傅 1
 
3.7%
師 1
 
3.7%
秀 1
 
3.7%
黃 1
 
3.7%
Other values (9) 9
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 27828
84.6%
ASCII 5029
 
15.3%
CJK 27
 
0.1%
None 8
 
< 0.1%
Compat Jamo 2
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1569
31.2%
) 418
 
8.3%
( 417
 
8.3%
2 162
 
3.2%
e 136
 
2.7%
5 123
 
2.4%
S 112
 
2.2%
C 98
 
1.9%
1 92
 
1.8%
a 85
 
1.7%
Other values (66) 1817
36.1%
Hangul
ValueCountFrequency (%)
점 1099
 
3.9%
이 698
 
2.5%
스 493
 
1.8%
리 426
 
1.5%
가 349
 
1.3%
중 322
 
1.2%
피 319
 
1.1%
마 301
 
1.1%
우 292
 
1.0%
식 291
 
1.0%
Other values (825) 23238
83.5%
None
ValueCountFrequency (%)
· 8
100.0%
CJK
ValueCountFrequency (%)
辛 5
18.5%
愛 3
 
11.1%
生 2
 
7.4%
味 2
 
7.4%
人 1
 
3.7%
金 1
 
3.7%
傅 1
 
3.7%
師 1
 
3.7%
秀 1
 
3.7%
黃 1
 
3.7%
Other values (9) 9
33.3%
Compat Jamo
ValueCountFrequency (%)
ㅎ 2
100.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

소재지(도로명)
Text

Distinct4169
Distinct (%)85.2%
Missing3
Missing (%)0.1%
Memory size38.4 KiB
2023-12-12T16:13:53.906958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length56
Mean length29.651073
Min length20

Characters and Unicode

Total characters145142
Distinct characters410
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3597 ?
Unique (%)73.5%

Sample

1st row서울특별시 중랑구 면목로 302 (면목동)
2nd row서울특별시 중랑구 봉우재로 200 (망우동)
3rd row서울특별시 중랑구 중랑역로 8 (중화동)
4th row서울특별시 중랑구 중랑천로12길 75 (상봉동)
5th row서울특별시 중랑구 겸재로18길 3 (면목동)
ValueCountFrequency (%)
서울특별시 4895
 
16.7%
중랑구 4895
 
16.7%
1층 2178
 
7.4%
면목동 1744
 
5.9%
상봉동 797
 
2.7%
망우동 667
 
2.3%
중화동 534
 
1.8%
묵동 521
 
1.8%
신내동 415
 
1.4%
면목로 340
 
1.2%
Other values (2168) 12331
42.1%
2023-12-12T16:13:54.418583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24444
 
16.8%
1 7258
 
5.0%
중 6018
 
4.1%
동 5923
 
4.1%
랑 5382
 
3.7%
시 4955
 
3.4%
서 4920
 
3.4%
) 4909
 
3.4%
( 4909
 
3.4%
울 4909
 
3.4%
Other values (400) 71515
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 83039
57.2%
Space Separator 24444
 
16.8%
Decimal Number 23177
 
16.0%
Close Punctuation 4909
 
3.4%
Open Punctuation 4909
 
3.4%
Other Punctuation 3920
 
2.7%
Dash Punctuation 398
 
0.3%
Uppercase Letter 261
 
0.2%
Lowercase Letter 62
 
< 0.1%
Math Symbol 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 6018
 
7.2%
동 5923
 
7.1%
랑 5382
 
6.5%
시 4955
 
6.0%
서 4920
 
5.9%
울 4909
 
5.9%
구 4908
 
5.9%
별 4895
 
5.9%
특 4895
 
5.9%
로 4894
 
5.9%
Other values (346) 31340
37.7%
Uppercase Letter
ValueCountFrequency (%)
B 89
34.1%
A 38
14.6%
S 36
13.8%
C 21
 
8.0%
R 10
 
3.8%
K 8
 
3.1%
E 7
 
2.7%
M 6
 
2.3%
G 5
 
1.9%
V 5
 
1.9%
Other values (13) 36
13.8%
Lowercase Letter
ValueCountFrequency (%)
e 14
22.6%
n 7
11.3%
s 6
9.7%
r 6
9.7%
c 6
9.7%
t 5
 
8.1%
k 4
 
6.5%
i 3
 
4.8%
a 3
 
4.8%
g 3
 
4.8%
Other values (3) 5
 
8.1%
Decimal Number
ValueCountFrequency (%)
1 7258
31.3%
2 2964
12.8%
3 2363
 
10.2%
4 1898
 
8.2%
0 1891
 
8.2%
5 1837
 
7.9%
6 1377
 
5.9%
9 1312
 
5.7%
7 1179
 
5.1%
8 1098
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 3917
99.9%
@ 2
 
0.1%
& 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
24444
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4909
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4909
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 398
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 83037
57.2%
Common 61780
42.6%
Latin 323
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 6018
 
7.2%
동 5923
 
7.1%
랑 5382
 
6.5%
시 4955
 
6.0%
서 4920
 
5.9%
울 4909
 
5.9%
구 4908
 
5.9%
별 4895
 
5.9%
특 4895
 
5.9%
로 4894
 
5.9%
Other values (345) 31338
37.7%
Latin
ValueCountFrequency (%)
B 89
27.6%
A 38
11.8%
S 36
11.1%
C 21
 
6.5%
e 14
 
4.3%
R 10
 
3.1%
K 8
 
2.5%
E 7
 
2.2%
n 7
 
2.2%
s 6
 
1.9%
Other values (26) 87
26.9%
Common
ValueCountFrequency (%)
24444
39.6%
1 7258
 
11.7%
) 4909
 
7.9%
( 4909
 
7.9%
, 3917
 
6.3%
2 2964
 
4.8%
3 2363
 
3.8%
4 1898
 
3.1%
0 1891
 
3.1%
5 1837
 
3.0%
Other values (8) 5390
 
8.7%
Han
ValueCountFrequency (%)
休 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 83037
57.2%
ASCII 62103
42.8%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24444
39.4%
1 7258
 
11.7%
) 4909
 
7.9%
( 4909
 
7.9%
, 3917
 
6.3%
2 2964
 
4.8%
3 2363
 
3.8%
4 1898
 
3.1%
0 1891
 
3.0%
5 1837
 
3.0%
Other values (44) 5713
 
9.2%
Hangul
ValueCountFrequency (%)
중 6018
 
7.2%
동 5923
 
7.1%
랑 5382
 
6.5%
시 4955
 
6.0%
서 4920
 
5.9%
울 4909
 
5.9%
구 4908
 
5.9%
별 4895
 
5.9%
특 4895
 
5.9%
로 4894
 
5.9%
Other values (345) 31338
37.7%
CJK
ValueCountFrequency (%)
休 2
100.0%

소재지(지번)
Text

Distinct3496
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size38.4 KiB
2023-12-12T16:13:54.775242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length49
Mean length22.184973
Min length15

Characters and Unicode

Total characters108662
Distinct characters388
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2620 ?
Unique (%)53.5%

Sample

1st row서울특별시 중랑구 면목동 626-17 외 1필지
2nd row서울특별시 중랑구 망우동 517-1
3rd row서울특별시 중랑구 중화동 207-15
4th row서울특별시 중랑구 상봉동 129-73
5th row서울특별시 중랑구 면목동 150-7
ValueCountFrequency (%)
서울특별시 4898
22.9%
중랑구 4898
22.9%
면목동 1815
 
8.5%
상봉동 829
 
3.9%
망우동 699
 
3.3%
묵동 555
 
2.6%
중화동 551
 
2.6%
신내동 452
 
2.1%
1층 226
 
1.1%
지상1층 194
 
0.9%
Other values (3570) 6291
29.4%
2023-12-12T16:13:55.312688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21315
19.6%
중 5480
 
5.0%
1 5118
 
4.7%
동 5084
 
4.7%
시 4939
 
4.5%
서 4925
 
4.5%
랑 4913
 
4.5%
울 4913
 
4.5%
구 4910
 
4.5%
별 4898
 
4.5%
Other values (378) 42167
38.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59374
54.6%
Decimal Number 23188
 
21.3%
Space Separator 21315
 
19.6%
Dash Punctuation 4492
 
4.1%
Uppercase Letter 144
 
0.1%
Other Punctuation 65
 
0.1%
Lowercase Letter 58
 
0.1%
Open Punctuation 11
 
< 0.1%
Close Punctuation 11
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 5480
9.2%
동 5084
8.6%
시 4939
 
8.3%
서 4925
 
8.3%
랑 4913
 
8.3%
울 4913
 
8.3%
구 4910
 
8.3%
별 4898
 
8.2%
특 4898
 
8.2%
면 1837
 
3.1%
Other values (327) 12577
21.2%
Uppercase Letter
ValueCountFrequency (%)
B 32
22.2%
S 17
11.8%
C 11
 
7.6%
A 11
 
7.6%
K 8
 
5.6%
E 7
 
4.9%
M 7
 
4.9%
R 6
 
4.2%
I 5
 
3.5%
Y 5
 
3.5%
Other values (12) 35
24.3%
Lowercase Letter
ValueCountFrequency (%)
e 14
24.1%
n 7
12.1%
c 6
10.3%
r 5
 
8.6%
s 5
 
8.6%
t 5
 
8.6%
k 3
 
5.2%
i 3
 
5.2%
a 3
 
5.2%
g 3
 
5.2%
Other values (2) 4
 
6.9%
Decimal Number
ValueCountFrequency (%)
1 5118
22.1%
3 2665
11.5%
2 2647
11.4%
4 2467
10.6%
0 2122
9.2%
5 2010
 
8.7%
6 1856
 
8.0%
7 1472
 
6.3%
8 1422
 
6.1%
9 1409
 
6.1%
Other Punctuation
ValueCountFrequency (%)
, 64
98.5%
& 1
 
1.5%
Space Separator
ValueCountFrequency (%)
21315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4492
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59372
54.6%
Common 49086
45.2%
Latin 202
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 5480
9.2%
동 5084
8.6%
시 4939
 
8.3%
서 4925
 
8.3%
랑 4913
 
8.3%
울 4913
 
8.3%
구 4910
 
8.3%
별 4898
 
8.2%
특 4898
 
8.2%
면 1837
 
3.1%
Other values (326) 12575
21.2%
Latin
ValueCountFrequency (%)
B 32
 
15.8%
S 17
 
8.4%
e 14
 
6.9%
C 11
 
5.4%
A 11
 
5.4%
K 8
 
4.0%
E 7
 
3.5%
n 7
 
3.5%
M 7
 
3.5%
R 6
 
3.0%
Other values (24) 82
40.6%
Common
ValueCountFrequency (%)
21315
43.4%
1 5118
 
10.4%
- 4492
 
9.2%
3 2665
 
5.4%
2 2647
 
5.4%
4 2467
 
5.0%
0 2122
 
4.3%
5 2010
 
4.1%
6 1856
 
3.8%
7 1472
 
3.0%
Other values (7) 2922
 
6.0%
Han
ValueCountFrequency (%)
休 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59372
54.6%
ASCII 49288
45.4%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21315
43.2%
1 5118
 
10.4%
- 4492
 
9.1%
3 2665
 
5.4%
2 2647
 
5.4%
4 2467
 
5.0%
0 2122
 
4.3%
5 2010
 
4.1%
6 1856
 
3.8%
7 1472
 
3.0%
Other values (41) 3124
 
6.3%
Hangul
ValueCountFrequency (%)
중 5480
9.2%
동 5084
8.6%
시 4939
 
8.3%
서 4925
 
8.3%
랑 4913
 
8.3%
울 4913
 
8.3%
구 4910
 
8.3%
별 4898
 
8.2%
특 4898
 
8.2%
면 1837
 
3.1%
Other values (326) 12575
21.2%
CJK
ValueCountFrequency (%)
休 2
100.0%

건물내부면적
Text

Distinct2383
Distinct (%)48.7%
Missing0
Missing (%)0.0%
Memory size38.4 KiB
2023-12-12T16:13:55.755833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.00245
Min length1

Characters and Unicode

Total characters19604
Distinct characters12
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

Unique1636 ?
Unique (%)33.4%

Sample

1st row157.99
2nd row65.9
3rd row28.18
4th row35.01
5th row30.4
ValueCountFrequency (%)
3.3 130
 
2.7%
33 129
 
2.6%
30 86
 
1.8%
26.4 63
 
1.3%
6.6 56
 
1.1%
25 47
 
1.0%
66 41
 
0.8%
20 37
 
0.8%
23.1 36
 
0.7%
40 33
 
0.7%
Other values (2373) 4240
86.6%
2023-12-12T16:13:56.384438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3647
18.6%
3 2290
11.7%
2 2258
11.5%
1 1808
9.2%
4 1764
9.0%
6 1698
8.7%
5 1598
8.2%
8 1289
 
6.6%
9 1266
 
6.5%
7 1125
 
5.7%
Other values (2) 861
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15955
81.4%
Other Punctuation 3649
 
18.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 2290
14.4%
2 2258
14.2%
1 1808
11.3%
4 1764
11.1%
6 1698
10.6%
5 1598
10.0%
8 1289
8.1%
9 1266
7.9%
7 1125
7.1%
0 859
 
5.4%
Other Punctuation
ValueCountFrequency (%)
. 3647
99.9%
, 2
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 19604
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3647
18.6%
3 2290
11.7%
2 2258
11.5%
1 1808
9.2%
4 1764
9.0%
6 1698
8.7%
5 1598
8.2%
8 1289
 
6.6%
9 1266
 
6.5%
7 1125
 
5.7%
Other values (2) 861
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19604
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3647
18.6%
3 2290
11.7%
2 2258
11.5%
1 1808
9.2%
4 1764
9.0%
6 1698
8.7%
5 1598
8.2%
8 1289
 
6.6%
9 1266
 
6.5%
7 1125
 
5.7%
Other values (2) 861
 
4.4%

업태명
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size38.4 KiB
한식
1719 
호프/통닭
529 
기타
459 
커피숍
367 
정종/대포집/소주방
269 
Other values (32)
1555 

Length

Max length15
Median length2
Mean length3.5377705
Min length2

Unique

Unique5 ?
Unique (%)0.1%

Sample

1st row한식
2nd row분식
3rd row한식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 1719
35.1%
호프/통닭 529
 
10.8%
기타 459
 
9.4%
커피숍 367
 
7.5%
정종/대포집/소주방 269
 
5.5%
분식 265
 
5.4%
편의점 226
 
4.6%
기타 휴게음식점 199
 
4.1%
일식 130
 
2.7%
통닭(치킨) 103
 
2.1%
Other values (27) 632
 
12.9%

Length

2023-12-12T16:13:56.541553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 1719
33.7%
기타 658
 
12.9%
호프/통닭 529
 
10.4%
커피숍 367
 
7.2%
정종/대포집/소주방 269
 
5.3%
분식 265
 
5.2%
편의점 226
 
4.4%
휴게음식점 199
 
3.9%
일식 130
 
2.6%
통닭(치킨 103
 
2.0%
Other values (27) 632
 
12.4%

Correlations

2023-12-12T16:13:56.642983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.998
업태명0.9981.000
2023-12-12T16:13:56.738674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.992
업태명0.9921.000
2023-12-12T16:13:56.866401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.992
업태명0.9921.000

Missing values

2023-12-12T16:13:51.621725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:13:51.769017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

업종명인허가일자업소명소재지(도로명)소재지(지번)건물내부면적업태명
0일반음식점1970-12-17무교동 낙지나라서울특별시 중랑구 면목로 302 (면목동)서울특별시 중랑구 면목동 626-17 외 1필지157.99한식
1일반음식점1972-07-03가고파식당서울특별시 중랑구 봉우재로 200 (망우동)서울특별시 중랑구 망우동 517-165.9분식
2일반음식점1977-06-16뼈다귀해장국서울특별시 중랑구 중랑역로 8 (중화동)서울특별시 중랑구 중화동 207-1528.18한식
3일반음식점1977-04-13서울식당서울특별시 중랑구 중랑천로12길 75 (상봉동)서울특별시 중랑구 상봉동 129-7335.01한식
4일반음식점1977-08-05무진장한식서울특별시 중랑구 겸재로18길 3 (면목동)서울특별시 중랑구 면목동 150-730.4한식
5일반음식점1978-12-09BBQ 상봉역점서울특별시 중랑구 봉우재로 155, 102호 (상봉동)서울특별시 중랑구 상봉동 87-2733.58통닭(치킨)
6일반음식점1981-12-08남원정통추어탕서울특별시 중랑구 동일로 778 (중화동)서울특별시 중랑구 중화동 288-2724.17한식
7일반음식점1982-06-29청담순대국서울특별시 중랑구 겸재로 187 (면목동)서울특별시 중랑구 면목동 102-51112.31한식
8일반음식점1982-12-23딸기원숯불갈비서울특별시 중랑구 겸재로 102 (면목동)서울특별시 중랑구 면목동 175-264.26한식
9일반음식점1982-12-06대관령쌈밥서울특별시 중랑구 용마산로115길 15 (망우동)서울특별시 중랑구 망우동 469-1108.5한식
업종명인허가일자업소명소재지(도로명)소재지(지번)건물내부면적업태명
4888휴게음식점2022-08-23스타벅스 양원역점서울특별시 중랑구 양원역로10길 3, 제이타워 지상1,지하1층 101,102,B101,B102호 (망우동)서울특별시 중랑구 망우동 618 제이타워279.72커피숍
4889휴게음식점2022-10-05이디야커피서울특별시 중랑구 상봉중앙로 36, 1층 (상봉동)서울특별시 중랑구 상봉동 268-3386커피숍
4890휴게음식점2022-10-24디저트39 양원역점서울특별시 중랑구 양원역로 72, 1층 (망우동)서울특별시 중랑구 망우동 616-172.84커피숍
4891제과점영업2011-01-20(주)신세계푸드 블랑제리 묵동점서울특별시 중랑구 동일로 932, 지하2층 B201호 (묵동, 묵동이마트묵동점)서울특별시 중랑구 묵동 170-1 이마트묵동점 지하2층 B201호75.4제과점영업
4892제과점영업2013-03-18(주)신세계푸드 블랑제리 묵동점서울특별시 중랑구 동일로 932 (묵동, 170-1, 이마트 묵동점 지하2층)서울특별시 중랑구 묵동 170-19.9제과점영업
4893제과점영업2020-06-24핫브레드 면목역점서울특별시 중랑구 면목로 지하 407, 면목역 721-103호 (면목동)서울특별시 중랑구 면목동 282-6 면목역32제과점영업
4894제과점영업2020-10-15카페빵서울특별시 중랑구 용마산로96길 10 (면목동)서울특별시 중랑구 면목동 17-3724.3제과점영업
4895제과점영업2021-05-24뚜레쥬르 묵동자이점서울특별시 중랑구 동일로 932, 1층 123,124,126,128호 (묵동, 묵동자이아파트)서울특별시 중랑구 묵동 170-1 묵동자이아파트128.21제과점영업
4896제과점영업2022-01-03세훈(SEHUN)서울특별시 중랑구 겸재로24길 7, 1층 (면목동)서울특별시 중랑구 면목동 149-1327제과점영업
4897제과점영업2022-01-26이백이케이크(202cake)서울특별시 중랑구 용마산로93길 33, 지상1층 102호 (면목동)서울특별시 중랑구 면목동 42-629.73제과점영업

Duplicate rows

Most frequently occurring

업종명인허가일자업소명소재지(도로명)소재지(지번)건물내부면적업태명# duplicates
0일반음식점1970-12-17무교동 낙지나라서울특별시 중랑구 면목로 302 (면목동)서울특별시 중랑구 면목동 626-17 외 1필지157.99한식2
1일반음식점1978-12-09BBQ 상봉역점서울특별시 중랑구 봉우재로 155, 102호 (상봉동)서울특별시 중랑구 상봉동 87-2733.58통닭(치킨)2
2일반음식점1981-12-08남원정통추어탕서울특별시 중랑구 동일로 778 (중화동)서울특별시 중랑구 중화동 288-2724.17한식2
3일반음식점1982-05-11오성맥주서울특별시 중랑구 용마산로 409 (면목동)서울특별시 중랑구 면목동 20-5153.13통닭(치킨)2
4일반음식점1982-06-29청담순대국서울특별시 중랑구 겸재로 187 (면목동)서울특별시 중랑구 면목동 102-51112.31한식2
5일반음식점1982-12-23딸기원숯불갈비서울특별시 중랑구 겸재로 102 (면목동)서울특별시 중랑구 면목동 175-264.26한식2
6일반음식점1983-10-21대구참막창서울특별시 중랑구 사가정로51길 43 (면목동)서울특별시 중랑구 면목동 572-3025기타2
7일반음식점1983-10-27서향서울특별시 중랑구 봉우재로 97 (상봉동)서울특별시 중랑구 상봉동 125-160.21중국식2
8일반음식점1983-11-25더데이(The Day)서울특별시 중랑구 공릉로12가길 1 (묵동)서울특별시 중랑구 묵동 158-320.11통닭(치킨)2
9일반음식점1983-12-19빛나는 바다서울특별시 중랑구 중랑역로 249, 1층 (묵동)서울특별시 중랑구 묵동 233-103130횟집2