Overview

Dataset statistics

Number of variables13
Number of observations348
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory36.2 KiB
Average record size in memory106.4 B

Variable types

Numeric1
Categorical6
Text6

Alerts

자료출처 has constant value ""Constant
공개여부 has constant value ""Constant
작성일 has constant value ""Constant
갱신주기 has constant value ""Constant
순번 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 순번High correlation
업종 is highly imbalanced (61.3%)Imbalance
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 02:10:13.904639
Analysis finished2024-03-14 02:10:14.838533
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct348
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.5
Minimum1
Maximum348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2024-03-14T11:10:14.896031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18.35
Q187.75
median174.5
Q3261.25
95-th percentile330.65
Maximum348
Range347
Interquartile range (IQR)173.5

Descriptive statistics

Standard deviation100.60318
Coefficient of variation (CV)0.57652253
Kurtosis-1.2
Mean174.5
Median Absolute Deviation (MAD)87
Skewness0
Sum60726
Variance10121
MonotonicityStrictly increasing
2024-03-14T11:10:15.030318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
231 1
 
0.3%
239 1
 
0.3%
238 1
 
0.3%
237 1
 
0.3%
236 1
 
0.3%
235 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
Other values (338) 338
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
348 1
0.3%
347 1
0.3%
346 1
0.3%
345 1
0.3%
344 1
0.3%
343 1
0.3%
342 1
0.3%
341 1
0.3%
340 1
0.3%
339 1
0.3%

시군명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
전주시
46 
정읍시
41 
완주군
35 
고창군
35 
무주군
32 
Other values (9)
159 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전주시 46
13.2%
정읍시 41
11.8%
완주군 35
10.1%
고창군 35
10.1%
무주군 32
9.2%
군산시 28
8.0%
남원시 27
7.8%
익산시 25
7.2%
장수군 20
5.7%
김제시 19
5.5%
Other values (4) 40
11.5%

Length

2024-03-14T11:10:15.147741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 46
13.2%
정읍시 41
11.8%
완주군 35
10.1%
고창군 35
10.1%
무주군 32
9.2%
군산시 28
8.0%
남원시 27
7.8%
익산시 25
7.2%
장수군 20
5.7%
김제시 19
5.5%
Other values (4) 40
11.5%

업종
Categorical

IMBALANCE 

Distinct21
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
한식
245 
이미용업
47 
중식
 
23
분식
 
4
목욕업
 
4
Other values (16)
25 

Length

Max length5
Median length2
Mean length2.3477011
Min length2

Unique

Unique10 ?
Unique (%)2.9%

Sample

1st row한식
2nd row세탁업
3rd row중식
4th row기타서비스
5th row분식

Common Values

ValueCountFrequency (%)
한식 245
70.4%
이미용업 47
 
13.5%
중식 23
 
6.6%
분식 4
 
1.1%
목욕업 4
 
1.1%
세탁업 4
 
1.1%
미용업 3
 
0.9%
기타양식 2
 
0.6%
미용 2
 
0.6%
숙박업 2
 
0.6%
Other values (11) 12
 
3.4%

Length

2024-03-14T11:10:15.241652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 245
70.4%
이미용업 47
 
13.5%
중식 23
 
6.6%
분식 4
 
1.1%
목욕업 4
 
1.1%
세탁업 4
 
1.1%
미용업 3
 
0.9%
숙박업 2
 
0.6%
양식 2
 
0.6%
미용 2
 
0.6%
Other values (11) 12
 
3.4%

업소명
Text

Distinct343
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-14T11:10:15.511040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length11
Mean length4.8045977
Min length2

Characters and Unicode

Total characters1672
Distinct characters323
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

Unique338 ?
Unique (%)97.1%

Sample

1st row이래면옥
2nd row제일크리너스샵
3rd row중본이쟁반짜장
4th row포토젠
5th row만나별미
ValueCountFrequency (%)
전주식당 2
 
0.6%
미용실 2
 
0.6%
전원식당 2
 
0.6%
전주식토속콩나물해장 2
 
0.6%
장터국밥 2
 
0.6%
목살집 2
 
0.6%
지리산 2
 
0.6%
남대천숯불갈비 1
 
0.3%
마실길식당 1
 
0.3%
송림식당 1
 
0.3%
Other values (346) 346
95.3%
2024-03-14T11:10:15.876086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 72
 
4.3%
당 57
 
3.4%
미 46
 
2.8%
용 37
 
2.2%
이 31
 
1.9%
가 29
 
1.7%
실 28
 
1.7%
국 26
 
1.6%
관 25
 
1.5%
원 24
 
1.4%
Other values (313) 1297
77.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1641
98.1%
Space Separator 15
 
0.9%
Decimal Number 15
 
0.9%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 72
 
4.4%
당 57
 
3.5%
미 46
 
2.8%
용 37
 
2.3%
이 31
 
1.9%
가 29
 
1.8%
실 28
 
1.7%
국 26
 
1.6%
관 25
 
1.5%
원 24
 
1.5%
Other values (305) 1266
77.1%
Decimal Number
ValueCountFrequency (%)
0 6
40.0%
1 3
20.0%
2 3
20.0%
4 1
 
6.7%
3 1
 
6.7%
5 1
 
6.7%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1641
98.1%
Common 31
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 72
 
4.4%
당 57
 
3.5%
미 46
 
2.8%
용 37
 
2.3%
이 31
 
1.9%
가 29
 
1.8%
실 28
 
1.7%
국 26
 
1.6%
관 25
 
1.5%
원 24
 
1.5%
Other values (305) 1266
77.1%
Common
ValueCountFrequency (%)
15
48.4%
0 6
 
19.4%
1 3
 
9.7%
2 3
 
9.7%
4 1
 
3.2%
( 1
 
3.2%
3 1
 
3.2%
5 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1641
98.1%
ASCII 31
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 72
 
4.4%
당 57
 
3.5%
미 46
 
2.8%
용 37
 
2.3%
이 31
 
1.9%
가 29
 
1.8%
실 28
 
1.7%
국 26
 
1.6%
관 25
 
1.5%
원 24
 
1.5%
Other values (305) 1266
77.1%
ASCII
ValueCountFrequency (%)
15
48.4%
0 6
 
19.4%
1 3
 
9.7%
2 3
 
9.7%
4 1
 
3.2%
( 1
 
3.2%
3 1
 
3.2%
5 1
 
3.2%

도로명주소
Text

Distinct342
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-14T11:10:16.162434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length14.022989
Min length8

Characters and Unicode

Total characters4880
Distinct characters193
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

Unique338 ?
Unique (%)97.1%

Sample

1st row전주시 완산구 동문길 103
2nd row전주시 덕진구 쪽구름로 19
3rd row전주시 완산구 공북로 71
4th row전주시 덕진구 명륜4길 7-2
5th row전주시 완산구 거마평로 122
ValueCountFrequency (%)
전주시 46
 
3.6%
정읍시 41
 
3.2%
완산구 38
 
3.0%
완주군 35
 
2.8%
고창군 35
 
2.8%
무주군 32
 
2.5%
군산시 28
 
2.2%
남원시 27
 
2.1%
익산시 25
 
2.0%
장수군 20
 
1.6%
Other values (552) 939
74.2%
2024-03-14T11:10:16.653174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
920
 
18.9%
1 242
 
5.0%
로 226
 
4.6%
시 199
 
4.1%
군 190
 
3.9%
주 148
 
3.0%
2 139
 
2.8%
길 139
 
2.8%
산 134
 
2.7%
읍 131
 
2.7%
Other values (183) 2412
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2907
59.6%
Decimal Number 974
 
20.0%
Space Separator 920
 
18.9%
Dash Punctuation 79
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 226
 
7.8%
시 199
 
6.8%
군 190
 
6.5%
주 148
 
5.1%
길 139
 
4.8%
산 134
 
4.6%
읍 131
 
4.5%
면 94
 
3.2%
완 76
 
2.6%
무 75
 
2.6%
Other values (171) 1495
51.4%
Decimal Number
ValueCountFrequency (%)
1 242
24.8%
2 139
14.3%
3 107
11.0%
4 94
 
9.7%
6 75
 
7.7%
9 72
 
7.4%
8 69
 
7.1%
7 67
 
6.9%
5 63
 
6.5%
0 46
 
4.7%
Space Separator
ValueCountFrequency (%)
920
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2907
59.6%
Common 1973
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 226
 
7.8%
시 199
 
6.8%
군 190
 
6.5%
주 148
 
5.1%
길 139
 
4.8%
산 134
 
4.6%
읍 131
 
4.5%
면 94
 
3.2%
완 76
 
2.6%
무 75
 
2.6%
Other values (171) 1495
51.4%
Common
ValueCountFrequency (%)
920
46.6%
1 242
 
12.3%
2 139
 
7.0%
3 107
 
5.4%
4 94
 
4.8%
- 79
 
4.0%
6 75
 
3.8%
9 72
 
3.6%
8 69
 
3.5%
7 67
 
3.4%
Other values (2) 109
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2907
59.6%
ASCII 1973
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
920
46.6%
1 242
 
12.3%
2 139
 
7.0%
3 107
 
5.4%
4 94
 
4.8%
- 79
 
4.0%
6 75
 
3.8%
9 72
 
3.6%
8 69
 
3.5%
7 67
 
3.4%
Other values (2) 109
 
5.5%
Hangul
ValueCountFrequency (%)
로 226
 
7.8%
시 199
 
6.8%
군 190
 
6.5%
주 148
 
5.1%
길 139
 
4.8%
산 134
 
4.6%
읍 131
 
4.5%
면 94
 
3.2%
완 76
 
2.6%
무 75
 
2.6%
Other values (171) 1495
51.4%

전화번호
Text

Distinct342
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-14T11:10:16.872086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.813218
Min length1

Characters and Unicode

Total characters4111
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

Unique340 ?
Unique (%)97.7%

Sample

1st row063-288-6644
2nd row063-211-2177
3rd row063-271-2223
4th row063-286-4779
5th row063-224-9529
ValueCountFrequency (%)
6
 
1.7%
063-351-2954 2
 
0.6%
063-543-1118 1
 
0.3%
063-322-0553 1
 
0.3%
063-288-6644 1
 
0.3%
063-324-0574 1
 
0.3%
063-323-0046 1
 
0.3%
063-324-8090 1
 
0.3%
063-322-0433 1
 
0.3%
063-324-1005 1
 
0.3%
Other values (332) 332
95.4%
2024-03-14T11:10:17.185523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 690
16.8%
3 682
16.6%
6 601
14.6%
0 521
12.7%
2 350
8.5%
5 336
8.2%
4 244
 
5.9%
8 219
 
5.3%
1 193
 
4.7%
7 152
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3421
83.2%
Dash Punctuation 690
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 682
19.9%
6 601
17.6%
0 521
15.2%
2 350
10.2%
5 336
9.8%
4 244
 
7.1%
8 219
 
6.4%
1 193
 
5.6%
7 152
 
4.4%
9 123
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 690
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4111
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 690
16.8%
3 682
16.6%
6 601
14.6%
0 521
12.7%
2 350
8.5%
5 336
8.2%
4 244
 
5.9%
8 219
 
5.3%
1 193
 
4.7%
7 152
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4111
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 690
16.8%
3 682
16.6%
6 601
14.6%
0 521
12.7%
2 350
8.5%
5 336
8.2%
4 244
 
5.9%
8 219
 
5.3%
1 193
 
4.7%
7 152
 
3.7%

품목1
Text

Distinct151
Distinct (%)43.4%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-14T11:10:17.400531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length3.9425287
Min length1

Characters and Unicode

Total characters1372
Distinct characters189
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)29.9%

Sample

1st row갈비탕
2nd row세탁료
3rd row짜장면
4th row증명사진
5th row돈가스
ValueCountFrequency (%)
백반 37
 
10.6%
커트 25
 
7.2%
김치찌개 18
 
5.2%
삼겹살(200g 14
 
4.0%
자장면 9
 
2.6%
컷트 8
 
2.3%
국수 7
 
2.0%
짜장면 7
 
2.0%
된장찌개 6
 
1.7%
파마 6
 
1.7%
Other values (141) 211
60.6%
2024-03-14T11:10:17.810964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 56
 
4.1%
반 51
 
3.7%
0 50
 
3.6%
백 50
 
3.6%
밥 47
 
3.4%
장 40
 
2.9%
트 37
 
2.7%
찌 33
 
2.4%
비 32
 
2.3%
개 30
 
2.2%
Other values (179) 946
69.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1194
87.0%
Decimal Number 83
 
6.0%
Open Punctuation 30
 
2.2%
Close Punctuation 30
 
2.2%
Lowercase Letter 26
 
1.9%
Other Punctuation 7
 
0.5%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 56
 
4.7%
반 51
 
4.3%
백 50
 
4.2%
밥 47
 
3.9%
장 40
 
3.4%
트 37
 
3.1%
찌 33
 
2.8%
비 32
 
2.7%
개 30
 
2.5%
삼 30
 
2.5%
Other values (166) 788
66.0%
Decimal Number
ValueCountFrequency (%)
0 50
60.2%
2 26
31.3%
1 2
 
2.4%
5 1
 
1.2%
3 1
 
1.2%
9 1
 
1.2%
4 1
 
1.2%
8 1
 
1.2%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 26
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1193
87.0%
Common 152
 
11.1%
Latin 26
 
1.9%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 56
 
4.7%
반 51
 
4.3%
백 50
 
4.2%
밥 47
 
3.9%
장 40
 
3.4%
트 37
 
3.1%
찌 33
 
2.8%
비 32
 
2.7%
개 30
 
2.5%
삼 30
 
2.5%
Other values (165) 787
66.0%
Common
ValueCountFrequency (%)
0 50
32.9%
( 30
19.7%
) 30
19.7%
2 26
17.1%
, 7
 
4.6%
+ 2
 
1.3%
1 2
 
1.3%
5 1
 
0.7%
3 1
 
0.7%
9 1
 
0.7%
Other values (2) 2
 
1.3%
Latin
ValueCountFrequency (%)
g 26
100.0%
Han
ValueCountFrequency (%)
大 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1193
87.0%
ASCII 178
 
13.0%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 56
 
4.7%
반 51
 
4.3%
백 50
 
4.2%
밥 47
 
3.9%
장 40
 
3.4%
트 37
 
3.1%
찌 33
 
2.8%
비 32
 
2.7%
개 30
 
2.5%
삼 30
 
2.5%
Other values (165) 787
66.0%
ASCII
ValueCountFrequency (%)
0 50
28.1%
( 30
16.9%
) 30
16.9%
g 26
14.6%
2 26
14.6%
, 7
 
3.9%
+ 2
 
1.1%
1 2
 
1.1%
5 1
 
0.6%
3 1
 
0.6%
Other values (3) 3
 
1.7%
CJK
ValueCountFrequency (%)
大 1
100.0%

품목2
Text

Distinct122
Distinct (%)35.2%
Missing1
Missing (%)0.3%
Memory size2.8 KiB
2024-03-14T11:10:18.085989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length3.0720461
Min length1

Characters and Unicode

Total characters1066
Distinct characters175
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)25.4%

Sample

1st row비빔냉면
2nd row바지
3rd row짬뽕
4th row여권사진
5th row김치찌개
ValueCountFrequency (%)
110
31.7%
파마 16
 
4.6%
짬뽕 12
 
3.5%
김치찌개 12
 
3.5%
된장찌개 10
 
2.9%
냉면 8
 
2.3%
퍼머 6
 
1.7%
청국장 6
 
1.7%
국수 5
 
1.4%
팥칼국수 5
 
1.4%
Other values (112) 157
45.2%
2024-03-14T11:10:18.543995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 110
 
10.3%
국 48
 
4.5%
0 38
 
3.6%
개 29
 
2.7%
밥 27
 
2.5%
찌 26
 
2.4%
장 26
 
2.4%
( 26
 
2.4%
) 25
 
2.3%
비 25
 
2.3%
Other values (165) 686
64.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 804
75.4%
Dash Punctuation 110
 
10.3%
Decimal Number 73
 
6.8%
Open Punctuation 26
 
2.4%
Close Punctuation 25
 
2.3%
Lowercase Letter 24
 
2.3%
Math Symbol 3
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 48
 
6.0%
개 29
 
3.6%
밥 27
 
3.4%
찌 26
 
3.2%
장 26
 
3.2%
비 25
 
3.1%
수 21
 
2.6%
삼 18
 
2.2%
마 18
 
2.2%
탕 18
 
2.2%
Other values (151) 548
68.2%
Decimal Number
ValueCountFrequency (%)
0 38
52.1%
2 19
26.0%
1 8
 
11.0%
5 3
 
4.1%
8 2
 
2.7%
3 2
 
2.7%
4 1
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
g 23
95.8%
k 1
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Math Symbol
ValueCountFrequency (%)
+ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 803
75.3%
Common 238
 
22.3%
Latin 24
 
2.3%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 48
 
6.0%
개 29
 
3.6%
밥 27
 
3.4%
찌 26
 
3.2%
장 26
 
3.2%
비 25
 
3.1%
수 21
 
2.6%
삼 18
 
2.2%
마 18
 
2.2%
탕 18
 
2.2%
Other values (150) 547
68.1%
Common
ValueCountFrequency (%)
- 110
46.2%
0 38
 
16.0%
( 26
 
10.9%
) 25
 
10.5%
2 19
 
8.0%
1 8
 
3.4%
+ 3
 
1.3%
5 3
 
1.3%
8 2
 
0.8%
3 2
 
0.8%
Other values (2) 2
 
0.8%
Latin
ValueCountFrequency (%)
g 23
95.8%
k 1
 
4.2%
Han
ValueCountFrequency (%)
大 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 803
75.3%
ASCII 262
 
24.6%
CJK 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 110
42.0%
0 38
 
14.5%
( 26
 
9.9%
) 25
 
9.5%
g 23
 
8.8%
2 19
 
7.3%
1 8
 
3.1%
+ 3
 
1.1%
5 3
 
1.1%
8 2
 
0.8%
Other values (4) 5
 
1.9%
Hangul
ValueCountFrequency (%)
국 48
 
6.0%
개 29
 
3.6%
밥 27
 
3.4%
찌 26
 
3.2%
장 26
 
3.2%
비 25
 
3.1%
수 21
 
2.6%
삼 18
 
2.2%
마 18
 
2.2%
탕 18
 
2.2%
Other values (150) 547
68.1%
CJK
ValueCountFrequency (%)
大 1
100.0%

품목3
Text

Distinct66
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-03-14T11:10:18.798770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length1
Mean length1.8074713
Min length1

Characters and Unicode

Total characters629
Distinct characters115
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)13.5%

Sample

1st row돼지불고기
2nd row티셔츠
3rd row간짜장
4th row-
5th row된장찌개
ValueCountFrequency (%)
251
72.1%
김치찌개 7
 
2.0%
염색 7
 
2.0%
된장찌개 5
 
1.4%
육회비빔밥 3
 
0.9%
비빔밥 2
 
0.6%
티셔츠 2
 
0.6%
김밥 2
 
0.6%
육개장 2
 
0.6%
드라이 2
 
0.6%
Other values (56) 65
 
18.7%
2024-03-14T11:10:19.066389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 251
39.9%
개 18
 
2.9%
장 17
 
2.7%
밥 17
 
2.7%
찌 14
 
2.2%
국 13
 
2.1%
비 13
 
2.1%
탕 9
 
1.4%
김 9
 
1.4%
치 9
 
1.4%
Other values (105) 259
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 349
55.5%
Dash Punctuation 251
39.9%
Decimal Number 12
 
1.9%
Close Punctuation 7
 
1.1%
Open Punctuation 7
 
1.1%
Lowercase Letter 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 18
 
5.2%
장 17
 
4.9%
밥 17
 
4.9%
찌 14
 
4.0%
국 13
 
3.7%
비 13
 
3.7%
탕 9
 
2.6%
김 9
 
2.6%
치 9
 
2.6%
염 7
 
2.0%
Other values (97) 223
63.9%
Decimal Number
ValueCountFrequency (%)
0 5
41.7%
2 4
33.3%
1 2
 
16.7%
5 1
 
8.3%
Dash Punctuation
ValueCountFrequency (%)
- 251
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 347
55.2%
Common 277
44.0%
Latin 3
 
0.5%
Han 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 18
 
5.2%
장 17
 
4.9%
밥 17
 
4.9%
찌 14
 
4.0%
국 13
 
3.7%
비 13
 
3.7%
탕 9
 
2.6%
김 9
 
2.6%
치 9
 
2.6%
염 7
 
2.0%
Other values (95) 221
63.7%
Common
ValueCountFrequency (%)
- 251
90.6%
) 7
 
2.5%
( 7
 
2.5%
0 5
 
1.8%
2 4
 
1.4%
1 2
 
0.7%
5 1
 
0.4%
Han
ValueCountFrequency (%)
小 1
50.0%
大 1
50.0%
Latin
ValueCountFrequency (%)
g 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 347
55.2%
ASCII 280
44.5%
CJK 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 251
89.6%
) 7
 
2.5%
( 7
 
2.5%
0 5
 
1.8%
2 4
 
1.4%
g 3
 
1.1%
1 2
 
0.7%
5 1
 
0.4%
Hangul
ValueCountFrequency (%)
개 18
 
5.2%
장 17
 
4.9%
밥 17
 
4.9%
찌 14
 
4.0%
국 13
 
3.7%
비 13
 
3.7%
탕 9
 
2.6%
김 9
 
2.6%
치 9
 
2.6%
염 7
 
2.0%
Other values (95) 221
63.7%
CJK
ValueCountFrequency (%)
小 1
50.0%
大 1
50.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
일자리경제정책관실
348 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일자리경제정책관실 348
100.0%

Length

2024-03-14T11:10:19.173296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:10:19.245239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리경제정책관실 348
100.0%

공개여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
공개
348 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 348
100.0%

Length

2024-03-14T11:10:19.320732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:10:19.394545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 348
100.0%

작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2015.1
348 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015.1
2nd row2015.1
3rd row2015.1
4th row2015.1
5th row2015.1

Common Values

ValueCountFrequency (%)
2015.1 348
100.0%

Length

2024-03-14T11:10:19.474413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:10:19.560708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015.1 348
100.0%

갱신주기
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
1년
348 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1년
2nd row1년
3rd row1년
4th row1년
5th row1년

Common Values

ValueCountFrequency (%)
1년 348
100.0%

Length

2024-03-14T11:10:19.674902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:10:19.756163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1년 348
100.0%

Interactions

2024-03-14T11:10:14.547252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T11:10:19.802109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명업종품목3
순번1.0000.9560.3430.542
시군명0.9561.0000.5510.557
업종0.3430.5511.0000.767
품목30.5420.5570.7671.000
2024-03-14T11:10:19.882379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명업종
시군명1.0000.198
업종0.1981.000
2024-03-14T11:10:19.955057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번시군명업종
순번1.0000.8120.131
시군명0.8121.0000.198
업종0.1310.1981.000

Missing values

2024-03-14T11:10:14.653145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:10:14.785857image/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

순번시군명업종업소명도로명주소전화번호품목1품목2품목3자료출처공개여부작성일갱신주기
01전주시한식이래면옥전주시 완산구 동문길 103063-288-6644갈비탕비빔냉면돼지불고기일자리경제정책관실공개2015.11년
12전주시세탁업제일크리너스샵전주시 덕진구 쪽구름로 19063-211-2177세탁료바지티셔츠일자리경제정책관실공개2015.11년
23전주시중식중본이쟁반짜장전주시 완산구 공북로 71063-271-2223짜장면짬뽕간짜장일자리경제정책관실공개2015.11년
34전주시기타서비스포토젠전주시 덕진구 명륜4길 7-2063-286-4779증명사진여권사진-일자리경제정책관실공개2015.11년
45전주시분식만나별미전주시 완산구 거마평로 122063-224-9529돈가스김치찌개된장찌개일자리경제정책관실공개2015.11년
56전주시한식기린로가정식백반전주시 완산구 기린대로 222063-285-1005백반--일자리경제정책관실공개2015.11년
67전주시한식청라회관전주시 완산구 노송여울2길 10063-286-3044비빔밥한우비빔밥육회비빔밥일자리경제정책관실공개2015.11년
78전주시한식옛살비전주시 완산구 노송여울2길 14-3063-232-1406시래기국밥불고기쌈밥시래기닭개장일자리경제정책관실공개2015.11년
89전주시한식맛자랑 팥고향집전주시 완산구 서학로 32-4063-231-0993손칼국수팥칼국수새알팥죽일자리경제정책관실공개2015.11년
910전주시한식한가득순대국밥전주시 완산구 풍남문2길 53063-232-4560순대국밥머리국밥돼지국밥일자리경제정책관실공개2015.11년
순번시군명업종업소명도로명주소전화번호품목1품목2품목3자료출처공개여부작성일갱신주기
338339부안군이미용업로타리이용원부안군 부안읍 석정로 176063-584-2963컷트--일자리경제정책관실공개2015.11년
339340부안군이미용업송이미용실부안군 백산면 봉석2길 16063-584-7060커트퍼머-일자리경제정책관실공개2015.11년
340341부안군일식다미락부안군 부안읍 수정길 7063-583-8407초밥도시락--일자리경제정책관실공개2015.11년
341342부안군중식고향식당부안군 동진면 동진로 129063-584-6683자장면--일자리경제정책관실공개2015.11년
342343부안군한식장터구이부안군 부안읍 봉동길 17063-581-9222점심,저녁뷔페냉면소바일자리경제정책관실공개2015.11년
343344부안군한식소문난 해장국부안군 부안읍 동중2길 15063-581-3045선지해장국설렁탕우거지갈비탕일자리경제정책관실공개2015.11년
344345부안군카페아트카페부안군 부안읍 수정길 28063-583-9830아메리카노스무디아이스티일자리경제정책관실공개2015.11년
345346부안군이미용업성심이용원부안군 백산면 시기길 8-1063-582-2505드라이면도커트일자리경제정책관실공개2015.11년
346347부안군이미용업정진미용실부안군 백산면 시기길 3-1063-582-4633커트파마염색일자리경제정책관실공개2015.11년
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