Overview

Dataset statistics

Number of variables12
Number of observations1903
Missing cells1100
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory182.3 KiB
Average record size in memory98.1 B

Variable types

Categorical3
DateTime2
Text5
Numeric2

Dataset

Description식품접객업소(유흥주점, 단란주점, 일반음식점, 휴게음식점, 제과점별 인허가일자, 업소명, 소재지주소, 위치, 면적, 연락처 등) 정보 공개
URLhttps://www.data.go.kr/data/3080029/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지도로명주소 has 1100 (57.8%) missing valuesMissing

Reproduction

Analysis started2023-12-12 05:09:19.571399
Analysis finished2023-12-12 05:09:21.020261
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
일반음식점
1326 
휴게음식점
355 
유흥주점영업
172 
제과점영업
 
23
단란주점
 
17

Length

Max length6
Median length5
Mean length5.0867052
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 1326
69.7%
휴게음식점 355
 
18.7%
유흥주점영업 172
 
9.0%
제과점영업 23
 
1.2%
단란주점 17
 
0.9%
위탁급식영업 10
 
0.5%

Length

2023-12-12T14:09:21.128106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:21.274890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 1326
69.7%
휴게음식점 355
 
18.7%
유흥주점영업 172
 
9.0%
제과점영업 23
 
1.2%
단란주점 17
 
0.9%
위탁급식영업 10
 
0.5%

인허가일자
Date

Distinct1474
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
Minimum1971-05-19 00:00:00
Maximum2023-06-26 00:00:00
2023-12-12T14:09:21.441670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:21.687538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct1898
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-12T14:09:21.936018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length22
Mean length6.4330005
Min length1

Characters and Unicode

Total characters12242
Distinct characters786
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1893 ?
Unique (%)99.5%

Sample

1st row흙집
2nd row실비집
3rd row태화관
4th row중앙길손식당
5th row현재네 시장식당
ValueCountFrequency (%)
동두천점 20
 
1.0%
세븐일레븐 11
 
0.5%
지행점 6
 
0.3%
지행역점 5
 
0.2%
coffee 4
 
0.2%
동두천지행점 4
 
0.2%
생연점 4
 
0.2%
동두천 4
 
0.2%
club 4
 
0.2%
동두천중앙점 3
 
0.1%
Other values (1991) 2027
96.9%
2023-12-12T14:09:22.348587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 346
 
2.8%
동 285
 
2.3%
이 266
 
2.2%
두 256
 
2.1%
천 248
 
2.0%
스 209
 
1.7%
189
 
1.5%
) 183
 
1.5%
( 183
 
1.5%
지 171
 
1.4%
Other values (776) 9906
80.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10583
86.4%
Uppercase Letter 546
 
4.5%
Decimal Number 268
 
2.2%
Lowercase Letter 249
 
2.0%
Space Separator 189
 
1.5%
Close Punctuation 183
 
1.5%
Open Punctuation 183
 
1.5%
Other Punctuation 36
 
0.3%
Dash Punctuation 3
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 346
 
3.3%
동 285
 
2.7%
이 266
 
2.5%
두 256
 
2.4%
천 248
 
2.3%
스 209
 
2.0%
지 171
 
1.6%
리 166
 
1.6%
식 132
 
1.2%
장 129
 
1.2%
Other values (702) 8375
79.1%
Uppercase Letter
ValueCountFrequency (%)
C 50
 
9.2%
S 49
 
9.0%
G 41
 
7.5%
A 39
 
7.1%
E 35
 
6.4%
O 30
 
5.5%
T 30
 
5.5%
B 30
 
5.5%
R 25
 
4.6%
N 25
 
4.6%
Other values (16) 192
35.2%
Lowercase Letter
ValueCountFrequency (%)
e 34
13.7%
a 26
10.4%
o 23
 
9.2%
c 20
 
8.0%
n 18
 
7.2%
f 16
 
6.4%
i 15
 
6.0%
l 12
 
4.8%
r 11
 
4.4%
u 11
 
4.4%
Other values (13) 63
25.3%
Decimal Number
ValueCountFrequency (%)
2 72
26.9%
5 45
16.8%
0 34
12.7%
1 29
10.8%
4 20
 
7.5%
3 17
 
6.3%
9 17
 
6.3%
7 16
 
6.0%
8 13
 
4.9%
6 5
 
1.9%
Other Punctuation
ValueCountFrequency (%)
& 17
47.2%
. 8
22.2%
, 3
 
8.3%
＆ 2
 
5.6%
' 2
 
5.6%
# 1
 
2.8%
＃ 1
 
2.8%
! 1
 
2.8%
% 1
 
2.8%
Space Separator
ValueCountFrequency (%)
189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 183
100.0%
Open Punctuation
ValueCountFrequency (%)
( 183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Other Symbol
ValueCountFrequency (%)
♡ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10576
86.4%
Common 864
 
7.1%
Latin 795
 
6.5%
Han 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 346
 
3.3%
동 285
 
2.7%
이 266
 
2.5%
두 256
 
2.4%
천 248
 
2.3%
스 209
 
2.0%
지 171
 
1.6%
리 166
 
1.6%
식 132
 
1.2%
장 129
 
1.2%
Other values (697) 8368
79.1%
Latin
ValueCountFrequency (%)
C 50
 
6.3%
S 49
 
6.2%
G 41
 
5.2%
A 39
 
4.9%
E 35
 
4.4%
e 34
 
4.3%
O 30
 
3.8%
T 30
 
3.8%
B 30
 
3.8%
a 26
 
3.3%
Other values (39) 431
54.2%
Common
ValueCountFrequency (%)
189
21.9%
) 183
21.2%
( 183
21.2%
2 72
 
8.3%
5 45
 
5.2%
0 34
 
3.9%
1 29
 
3.4%
4 20
 
2.3%
3 17
 
2.0%
& 17
 
2.0%
Other values (15) 75
 
8.7%
Han
ValueCountFrequency (%)
愛 3
42.9%
茶 1
 
14.3%
人 1
 
14.3%
家 1
 
14.3%
歌 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10576
86.4%
ASCII 1655
 
13.5%
CJK 7
 
0.1%
None 3
 
< 0.1%
Misc Symbols 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 346
 
3.3%
동 285
 
2.7%
이 266
 
2.5%
두 256
 
2.4%
천 248
 
2.3%
스 209
 
2.0%
지 171
 
1.6%
리 166
 
1.6%
식 132
 
1.2%
장 129
 
1.2%
Other values (697) 8368
79.1%
ASCII
ValueCountFrequency (%)
189
 
11.4%
) 183
 
11.1%
( 183
 
11.1%
2 72
 
4.4%
C 50
 
3.0%
S 49
 
3.0%
5 45
 
2.7%
G 41
 
2.5%
A 39
 
2.4%
E 35
 
2.1%
Other values (61) 769
46.5%
CJK
ValueCountFrequency (%)
愛 3
42.9%
茶 1
 
14.3%
人 1
 
14.3%
家 1
 
14.3%
歌 1
 
14.3%
None
ValueCountFrequency (%)
＆ 2
66.7%
＃ 1
33.3%
Misc Symbols
ValueCountFrequency (%)
♡ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct718
Distinct (%)89.4%
Missing1100
Missing (%)57.8%
Memory size15.0 KiB
2023-12-12T14:09:22.711519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length23.853051
Min length15

Characters and Unicode

Total characters19154
Distinct characters81
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique651 ?
Unique (%)81.1%

Sample

1st row경기도 동두천시 동광로 38 (생연동)
2nd row경기도 동두천시 어수로 94 (생연동)
3rd row경기도 동두천시 생연로 171 (생연동)
4th row경기도 동두천시 동광로 69-3 (생연동)
5th row경기도 동두천시 중앙로217번길 18 (생연동)
ValueCountFrequency (%)
경기도 803
20.3%
동두천시 803
20.3%
생연동 378
 
9.5%
지행동 102
 
2.6%
평화로 94
 
2.4%
생연로 76
 
1.9%
중앙로 67
 
1.7%
보산동 60
 
1.5%
상봉암동 56
 
1.4%
삼육사로 37
 
0.9%
Other values (600) 1484
37.5%
2023-12-12T14:09:23.476810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3161
16.5%
동 1668
 
8.7%
천 845
 
4.4%
두 836
 
4.4%
시 817
 
4.3%
경 803
 
4.2%
기 803
 
4.2%
도 803
 
4.2%
로 798
 
4.2%
( 748
 
3.9%
Other values (71) 7872
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11088
57.9%
Decimal Number 3174
 
16.6%
Space Separator 3161
 
16.5%
Open Punctuation 748
 
3.9%
Close Punctuation 748
 
3.9%
Dash Punctuation 235
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1668
15.0%
천 845
 
7.6%
두 836
 
7.5%
시 817
 
7.4%
경 803
 
7.2%
기 803
 
7.2%
도 803
 
7.2%
로 798
 
7.2%
생 466
 
4.2%
연 457
 
4.1%
Other values (57) 2792
25.2%
Decimal Number
ValueCountFrequency (%)
1 631
19.9%
2 614
19.3%
3 464
14.6%
5 292
9.2%
4 229
 
7.2%
0 219
 
6.9%
9 207
 
6.5%
6 201
 
6.3%
7 188
 
5.9%
8 129
 
4.1%
Space Separator
ValueCountFrequency (%)
3161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 748
100.0%
Close Punctuation
ValueCountFrequency (%)
) 748
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11088
57.9%
Common 8066
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1668
15.0%
천 845
 
7.6%
두 836
 
7.5%
시 817
 
7.4%
경 803
 
7.2%
기 803
 
7.2%
도 803
 
7.2%
로 798
 
7.2%
생 466
 
4.2%
연 457
 
4.1%
Other values (57) 2792
25.2%
Common
ValueCountFrequency (%)
3161
39.2%
( 748
 
9.3%
) 748
 
9.3%
1 631
 
7.8%
2 614
 
7.6%
3 464
 
5.8%
5 292
 
3.6%
- 235
 
2.9%
4 229
 
2.8%
0 219
 
2.7%
Other values (4) 725
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11088
57.9%
ASCII 8066
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3161
39.2%
( 748
 
9.3%
) 748
 
9.3%
1 631
 
7.8%
2 614
 
7.6%
3 464
 
5.8%
5 292
 
3.6%
- 235
 
2.9%
4 229
 
2.8%
0 219
 
2.7%
Other values (4) 725
 
9.0%
Hangul
ValueCountFrequency (%)
동 1668
15.0%
천 845
 
7.6%
두 836
 
7.5%
시 817
 
7.4%
경 803
 
7.2%
기 803
 
7.2%
도 803
 
7.2%
로 798
 
7.2%
생 466
 
4.2%
연 457
 
4.1%
Other values (57) 2792
25.2%

소재지지번주소
Text

Distinct1503
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-12T14:09:24.012302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length44
Mean length21.582764
Min length16

Characters and Unicode

Total characters41072
Distinct characters216
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1285 ?
Unique (%)67.5%

Sample

1st row경기도 동두천시 생연동 585
2nd row경기도 동두천시 생연동 689-4
3rd row경기도 동두천시 생연동 585-46
4th row경기도 동두천시 생연동 615-27
5th row경기도 동두천시 생연동 692-10
ValueCountFrequency (%)
경기도 1903
22.2%
동두천시 1903
22.2%
생연동 772
 
9.0%
지행동 565
 
6.6%
보산동 124
 
1.4%
송내동 124
 
1.4%
상봉암동 90
 
1.0%
1층 63
 
0.7%
상패동 58
 
0.7%
탑동동 58
 
0.7%
Other values (1440) 2915
34.0%
2023-12-12T14:09:24.761306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8415
20.5%
동 4023
 
9.8%
두 1980
 
4.8%
천 1966
 
4.8%
시 1925
 
4.7%
경 1904
 
4.6%
도 1904
 
4.6%
기 1904
 
4.6%
- 1657
 
4.0%
1 1580
 
3.8%
Other values (206) 13814
33.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22126
53.9%
Decimal Number 8761
 
21.3%
Space Separator 8415
 
20.5%
Dash Punctuation 1657
 
4.0%
Other Punctuation 42
 
0.1%
Close Punctuation 24
 
0.1%
Open Punctuation 24
 
0.1%
Uppercase Letter 16
 
< 0.1%
Math Symbol 6
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 4023
18.2%
두 1980
8.9%
천 1966
8.9%
시 1925
8.7%
경 1904
8.6%
도 1904
8.6%
기 1904
8.6%
연 790
 
3.6%
생 786
 
3.6%
지 676
 
3.1%
Other values (178) 4268
19.3%
Decimal Number
ValueCountFrequency (%)
1 1580
18.0%
2 1102
12.6%
6 967
11.0%
3 863
9.9%
7 826
9.4%
4 801
9.1%
5 754
8.6%
8 749
8.5%
9 592
 
6.8%
0 527
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
25.0%
S 3
18.8%
H 2
12.5%
M 1
 
6.2%
E 1
 
6.2%
L 1
 
6.2%
J 1
 
6.2%
C 1
 
6.2%
B 1
 
6.2%
N 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 40
95.2%
. 2
 
4.8%
Space Separator
ValueCountFrequency (%)
8415
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1657
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22126
53.9%
Common 18929
46.1%
Latin 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 4023
18.2%
두 1980
8.9%
천 1966
8.9%
시 1925
8.7%
경 1904
8.6%
도 1904
8.6%
기 1904
8.6%
연 790
 
3.6%
생 786
 
3.6%
지 676
 
3.1%
Other values (178) 4268
19.3%
Common
ValueCountFrequency (%)
8415
44.5%
- 1657
 
8.8%
1 1580
 
8.3%
2 1102
 
5.8%
6 967
 
5.1%
3 863
 
4.6%
7 826
 
4.4%
4 801
 
4.2%
5 754
 
4.0%
8 749
 
4.0%
Other values (7) 1215
 
6.4%
Latin
ValueCountFrequency (%)
A 4
23.5%
S 3
17.6%
H 2
11.8%
M 1
 
5.9%
Ⅰ 1
 
5.9%
E 1
 
5.9%
L 1
 
5.9%
J 1
 
5.9%
C 1
 
5.9%
B 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22126
53.9%
ASCII 18945
46.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8415
44.4%
- 1657
 
8.7%
1 1580
 
8.3%
2 1102
 
5.8%
6 967
 
5.1%
3 863
 
4.6%
7 826
 
4.4%
4 801
 
4.2%
5 754
 
4.0%
8 749
 
4.0%
Other values (17) 1231
 
6.5%
Hangul
ValueCountFrequency (%)
동 4023
18.2%
두 1980
8.9%
천 1966
8.9%
시 1925
8.7%
경 1904
8.6%
도 1904
8.6%
기 1904
8.6%
연 790
 
3.6%
생 786
 
3.6%
지 676
 
3.1%
Other values (178) 4268
19.3%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

위도
Real number (ℝ)

Distinct1225
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.903247
Minimum37.863892
Maximum37.973474
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2023-12-12T14:09:25.003422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.863892
5-th percentile37.883272
Q137.892677
median37.900464
Q337.908494
95-th percentile37.946469
Maximum37.973474
Range0.10958213
Interquartile range (IQR)0.015817602

Descriptive statistics

Standard deviation0.015755387
Coefficient of variation (CV)0.00041567382
Kurtosis3.3720369
Mean37.903247
Median Absolute Deviation (MAD)0.0079982389
Skewness1.6483081
Sum72129.879
Variance0.00024823223
MonotonicityNot monotonic
2023-12-12T14:09:25.564328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.893104767 20
 
1.1%
37.8920709599 20
 
1.1%
37.8916351425 19
 
1.0%
37.8920797728 18
 
0.9%
37.8920735499 18
 
0.9%
37.8913981773 14
 
0.7%
37.8920674099 14
 
0.7%
37.8917054967 14
 
0.7%
37.8920703281 14
 
0.7%
37.8917676406 14
 
0.7%
Other values (1215) 1738
91.3%
ValueCountFrequency (%)
37.8638917609 1
 
0.1%
37.873178927 1
 
0.1%
37.8755560168 1
 
0.1%
37.8774527353 1
 
0.1%
37.8776603287 1
 
0.1%
37.8778387676 1
 
0.1%
37.8779408894 1
 
0.1%
37.8786360044 1
 
0.1%
37.8791949013 6
0.3%
37.8792569289 1
 
0.1%
ValueCountFrequency (%)
37.9734738925 1
 
0.1%
37.9731062629 1
 
0.1%
37.9701755441 1
 
0.1%
37.9695676601 1
 
0.1%
37.9693902041 1
 
0.1%
37.9688674644 2
 
0.1%
37.9677965712 6
0.3%
37.9629751527 1
 
0.1%
37.9597487593 1
 
0.1%
37.9587402536 1
 
0.1%

경도
Real number (ℝ)

Distinct1225
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05753
Minimum127.01371
Maximum127.13717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.9 KiB
2023-12-12T14:09:25.764527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01371
5-th percentile127.04795
Q1127.05265
median127.05465
Q3127.05802
95-th percentile127.08393
Maximum127.13717
Range0.12345775
Interquartile range (IQR)0.0053721348

Descriptive statistics

Standard deviation0.012083159
Coefficient of variation (CV)9.5099902 × 10-5
Kurtosis16.353621
Mean127.05753
Median Absolute Deviation (MAD)0.0023654218
Skewness3.5007003
Sum241790.49
Variance0.00014600273
MonotonicityNot monotonic
2023-12-12T14:09:25.962443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0532364761 20
 
1.1%
127.0533730652 20
 
1.1%
127.0530402189 19
 
1.0%
127.0530104109 18
 
0.9%
127.0538186052 18
 
0.9%
127.0546518842 14
 
0.7%
127.0546305511 14
 
0.7%
127.0546373322 14
 
0.7%
127.0541645515 14
 
0.7%
127.0525066708 14
 
0.7%
Other values (1215) 1738
91.3%
ValueCountFrequency (%)
127.0137120329 1
0.1%
127.0146269528 1
0.1%
127.0194372733 1
0.1%
127.0276308428 1
0.1%
127.0285651665 1
0.1%
127.0290126022 1
0.1%
127.0304213724 1
0.1%
127.0307849879 1
0.1%
127.0361095943 1
0.1%
127.0363023824 1
0.1%
ValueCountFrequency (%)
127.1371697789 1
 
0.1%
127.1371604037 3
0.2%
127.1356894623 1
 
0.1%
127.1353223893 1
 
0.1%
127.1352867041 1
 
0.1%
127.1343977381 1
 
0.1%
127.1334714123 1
 
0.1%
127.132758039 1
 
0.1%
127.1325485087 1
 
0.1%
127.1320343648 1
 
0.1%

영업장면적
Text

Distinct1631
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-12T14:09:26.408519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length7
Mean length7.1723594
Min length2

Characters and Unicode

Total characters13649
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1466 ?
Unique (%)77.0%

Sample

1st row 56.00
2nd row 37.00
3rd row 81.89
4th row 108.00
5th row 51.12
ValueCountFrequency (%)
0 12
 
0.6%
12.35 11
 
0.6%
3.30 10
 
0.5%
3.00 9
 
0.5%
38.00 6
 
0.3%
63.00 5
 
0.3%
42.00 5
 
0.3%
59.00 5
 
0.3%
1.00 5
 
0.3%
45.00 4
 
0.2%
Other values (1621) 1831
96.2%
2023-12-12T14:09:27.144443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3794
27.8%
. 1891
13.9%
0 1258
 
9.2%
1 975
 
7.1%
2 857
 
6.3%
4 815
 
6.0%
3 754
 
5.5%
8 752
 
5.5%
5 714
 
5.2%
6 697
 
5.1%
Other values (3) 1142
 
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7962
58.3%
Space Separator 3794
27.8%
Other Punctuation 1893
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1258
15.8%
1 975
12.2%
2 857
10.8%
4 815
10.2%
3 754
9.5%
8 752
9.4%
5 714
9.0%
6 697
8.8%
7 576
7.2%
9 564
7.1%
Other Punctuation
ValueCountFrequency (%)
. 1891
99.9%
, 2
 
0.1%
Space Separator
ValueCountFrequency (%)
3794
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13649
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3794
27.8%
. 1891
13.9%
0 1258
 
9.2%
1 975
 
7.1%
2 857
 
6.3%
4 815
 
6.0%
3 754
 
5.5%
8 752
 
5.5%
5 714
 
5.2%
6 697
 
5.1%
Other values (3) 1142
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13649
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3794
27.8%
. 1891
13.9%
0 1258
 
9.2%
1 975
 
7.1%
2 857
 
6.3%
4 815
 
6.0%
3 754
 
5.5%
8 752
 
5.5%
5 714
 
5.2%
6 697
 
5.1%
Other values (3) 1142
 
8.4%

전화번호
Text

Distinct830
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
2023-12-12T14:09:27.578767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length7
Mean length9.2438255
Min length7

Characters and Unicode

Total characters17591
Distinct characters18
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

Unique810 ?
Unique (%)42.6%

Sample

1st row031-865-4992
2nd row031-865-8079
3rd row031-865-2353
4th row031-865-2325
5th row031-862-1298
ValueCountFrequency (%)
데이터 1053
35.6%
미집계 1053
35.6%
031-869-7770 3
 
0.1%
031-865-1181 3
 
0.1%
031-857-1337 2
 
0.1%
031-867-0550 2
 
0.1%
031-868-2468 2
 
0.1%
031-858-1583 2
 
0.1%
031-863-1240 2
 
0.1%
031-861-1354 2
 
0.1%
Other values (821) 832
28.1%
2023-12-12T14:09:28.161034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1700
 
9.7%
8 1318
 
7.5%
0 1293
 
7.4%
3 1262
 
7.2%
1 1251
 
7.1%
이 1053
 
6.0%
데 1053
 
6.0%
계 1053
 
6.0%
집 1053
 
6.0%
미 1053
 
6.0%
Other values (8) 5502
31.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8520
48.4%
Other Letter 6318
35.9%
Dash Punctuation 1700
 
9.7%
Space Separator 1053
 
6.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 1318
15.5%
0 1293
15.2%
3 1262
14.8%
1 1251
14.7%
6 1026
12.0%
5 680
8.0%
2 511
 
6.0%
7 471
 
5.5%
9 398
 
4.7%
4 310
 
3.6%
Other Letter
ValueCountFrequency (%)
이 1053
16.7%
데 1053
16.7%
계 1053
16.7%
집 1053
16.7%
미 1053
16.7%
터 1053
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 1700
100.0%
Space Separator
ValueCountFrequency (%)
1053
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11273
64.1%
Hangul 6318
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1700
15.1%
8 1318
11.7%
0 1293
11.5%
3 1262
11.2%
1 1251
11.1%
1053
9.3%
6 1026
9.1%
5 680
 
6.0%
2 511
 
4.5%
7 471
 
4.2%
Other values (2) 708
6.3%
Hangul
ValueCountFrequency (%)
이 1053
16.7%
데 1053
16.7%
계 1053
16.7%
집 1053
16.7%
미 1053
16.7%
터 1053
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11273
64.1%
Hangul 6318
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1700
15.1%
8 1318
11.7%
0 1293
11.5%
3 1262
11.2%
1 1251
11.1%
1053
9.3%
6 1026
9.1%
5 680
 
6.0%
2 511
 
4.5%
7 471
 
4.2%
Other values (2) 708
6.3%
Hangul
ValueCountFrequency (%)
이 1053
16.7%
데 1053
16.7%
계 1053
16.7%
집 1053
16.7%
미 1053
16.7%
터 1053
16.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
경기도 동두천시청 농업축산위생과
1903 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 동두천시청 농업축산위생과
2nd row경기도 동두천시청 농업축산위생과
3rd row경기도 동두천시청 농업축산위생과
4th row경기도 동두천시청 농업축산위생과
5th row경기도 동두천시청 농업축산위생과

Common Values

ValueCountFrequency (%)
경기도 동두천시청 농업축산위생과 1903
100.0%

Length

2023-12-12T14:09:28.387412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:28.561646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 1903
33.3%
동두천시청 1903
33.3%
농업축산위생과 1903
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
031-860-2232
1903 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-860-2232
2nd row031-860-2232
3rd row031-860-2232
4th row031-860-2232
5th row031-860-2232

Common Values

ValueCountFrequency (%)
031-860-2232 1903
100.0%

Length

2023-12-12T14:09:28.749935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:09:28.895308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-860-2232 1903
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.0 KiB
Minimum2023-06-30 00:00:00
Maximum2023-06-30 00:00:00
2023-12-12T14:09:29.000393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:29.135580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T14:09:20.530741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:20.332965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:20.619224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:09:20.419185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:09:29.242849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명위도경도
업종명1.0000.2490.182
위도0.2491.0000.548
경도0.1820.5481.000
2023-12-12T14:09:29.375143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업종명
위도1.0000.1220.133
경도0.1221.0000.096
업종명0.1330.0961.000

Missing values

2023-12-12T14:09:20.764207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:09:20.940937image/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

업종명인허가일자업소명소재지도로명주소소재지지번주소위도경도영업장면적전화번호관리기관명관리기관전화번호데이터기준일자
0일반음식점1981-09-25흙집경기도 동두천시 동광로 38 (생연동)경기도 동두천시 생연동 58537.908515127.05227856.00031-865-4992경기도 동두천시청 농업축산위생과031-860-22322023-06-30
1일반음식점1981-09-25실비집경기도 동두천시 어수로 94 (생연동)경기도 동두천시 생연동 689-437.902372127.05286537.00031-865-8079경기도 동두천시청 농업축산위생과031-860-22322023-06-30
2일반음식점1981-09-25태화관경기도 동두천시 생연로 171 (생연동)경기도 동두천시 생연동 585-4637.907805127.05249481.89031-865-2353경기도 동두천시청 농업축산위생과031-860-22322023-06-30
3일반음식점1981-09-29중앙길손식당경기도 동두천시 동광로 69-3 (생연동)경기도 동두천시 생연동 615-2737.9089127.055837108.00031-865-2325경기도 동두천시청 농업축산위생과031-860-22322023-06-30
4일반음식점1981-09-28현재네 시장식당경기도 동두천시 중앙로217번길 18 (생연동)경기도 동두천시 생연동 692-1037.901161127.05184551.12031-862-1298경기도 동두천시청 농업축산위생과031-860-22322023-06-30
5일반음식점1981-11-17형제불고기경기도 동두천시 정장로 11-12 (생연동)경기도 동두천시 생연동 823-137.905174127.052223116.00031-865-2021경기도 동두천시청 농업축산위생과031-860-22322023-06-30
6일반음식점1981-09-25황주식당경기도 동두천시 정장로 11-9 (생연동)경기도 동두천시 생연동 823-337.905161127.05193580.90031-865-2026경기도 동두천시청 농업축산위생과031-860-22322023-06-30
7일반음식점1981-09-28만리향경기도 동두천시 중앙로265번길 25 (생연동)경기도 동두천시 생연동 659-3437.905234127.05241171.00031-865-4722경기도 동두천시청 농업축산위생과031-860-22322023-06-30
8일반음식점1981-09-28명당식당경기도 동두천시 평화로2910번길 148-52 (상봉암동)경기도 동두천시 상봉암동 산 1-137.946794127.07211693.00031-867-8810경기도 동두천시청 농업축산위생과031-860-22322023-06-30
9일반음식점1981-09-25삽다리식당경기도 동두천시 평화로2910번길 148-49 (상봉암동)경기도 동두천시 상봉암동 산 1-137.946956127.07204859.00데이터 미집계경기도 동두천시청 농업축산위생과031-860-22322023-06-30
업종명인허가일자업소명소재지도로명주소소재지지번주소위도경도영업장면적전화번호관리기관명관리기관전화번호데이터기준일자
1893제과점영업2011-09-01모드네베이커리경기도 동두천시 중앙로 207경기도 동두천시 생연동 698-11 외2필지37.899968127.05228652.07031-859-7133경기도 동두천시청 농업축산위생과031-860-22322023-06-30
1894제과점영업2014-12-24카네이션하우스경기도 동두천시 안흥로11번길 24-16 (안흥동)경기도 동두천시 안흥동 42-4337.928382127.0465755.84031-865-1181경기도 동두천시청 농업축산위생과031-860-22322023-06-30
1895제과점영업2016-05-04아빵경기도 동두천시 중앙로 125경기도 동두천시 지행동 691-5 영스포렉스 108호37.892757127.05174754.95031-865-3806경기도 동두천시청 농업축산위생과031-860-22322023-06-30
1896제과점영업2017-05-08지쁠레르경기도 동두천시 중앙로 15 (송내동)경기도 동두천시 송내동 69437.882997127.05237811.90데이터 미집계경기도 동두천시청 농업축산위생과031-860-22322023-06-30
1897제과점영업2019-11-01수작 베이커리경기도 동두천시 중앙로 301 (생연동)경기도 동두천시 생연동 611-5137.908362127.05458929.07데이터 미집계경기도 동두천시청 농업축산위생과031-860-22322023-06-30
1898제과점영업2019-12-30쿠잉(Cooing)경기도 동두천시 중앙로 351-1경기도 동두천시 생연동 570-737.912931127.05590697.20데이터 미집계경기도 동두천시청 농업축산위생과031-860-22322023-06-30
1899제과점영업2020-01-17흰곰베이커리경기도 동두천시 이담로 143경기도 동두천시 지행동 186-1337.888154127.06459755.10데이터 미집계경기도 동두천시청 농업축산위생과031-860-22322023-06-30
1900제과점영업2021-12-16온누리떡방2호점경기도 동두천시 중앙로 207경기도 동두천시 생연동 698-1137.899968127.05228657.83데이터 미집계경기도 동두천시청 농업축산위생과031-860-22322023-06-30
1901제과점영업2022-08-19크라상점동두천점경기도 동두천시 중앙로33번길 59-15경기도 동두천시 송내동 685-1137.883118127.05159344.20데이터 미집계경기도 동두천시청 농업축산위생과031-860-22322023-06-30
1902제과점영업2023-02-24보니(Bonny)경기도 동두천시 생골로 36경기도 동두천시 생연동 400-437.900121127.06196625.53데이터 미집계경기도 동두천시청 농업축산위생과031-860-22322023-06-30