Overview

Dataset statistics

Number of variables10
Number of observations515
Missing cells387
Missing cells (%)7.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory41.9 KiB
Average record size in memory83.3 B

Variable types

Numeric3
Text4
Categorical1
Boolean1
DateTime1

Dataset

Description전라남도 신안군 음식점현황에 대한 데이터로, 음식점명, 소재지도로명주소, 소재지지번주소, 위도, 경도, 소재지전화번호, 업종명, 다중이용업소여부, 데이터기준일자를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15114887/fileData.do

Alerts

다중이용업소여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지도로명주소 has 36 (7.0%) missing valuesMissing
소재지전화번호 has 351 (68.2%) missing valuesMissing
위도 is highly skewed (γ1 = -22.22219813)Skewed
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:27:21.500958
Analysis finished2023-12-12 07:27:23.577451
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct515
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258
Minimum1
Maximum515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-12T16:27:23.656335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.7
Q1129.5
median258
Q3386.5
95-th percentile489.3
Maximum515
Range514
Interquartile range (IQR)257

Descriptive statistics

Standard deviation148.81196
Coefficient of variation (CV)0.57679055
Kurtosis-1.2
Mean258
Median Absolute Deviation (MAD)129
Skewness0
Sum132870
Variance22145
MonotonicityStrictly increasing
2023-12-12T16:27:23.825850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
324 1
 
0.2%
354 1
 
0.2%
353 1
 
0.2%
352 1
 
0.2%
351 1
 
0.2%
350 1
 
0.2%
349 1
 
0.2%
348 1
 
0.2%
347 1
 
0.2%
Other values (505) 505
98.1%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
515 1
0.2%
514 1
0.2%
513 1
0.2%
512 1
0.2%
511 1
0.2%
510 1
0.2%
509 1
0.2%
508 1
0.2%
507 1
0.2%
506 1
0.2%

음식점명
Text

Distinct493
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-12T16:27:24.510958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length18
Mean length5.6252427
Min length1

Characters and Unicode

Total characters2897
Distinct characters418
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique474 ?
Unique (%)92.0%

Sample

1st row미화횟집
2nd row섬마을 식육식당
3rd row삼거리 반점
4th row동화식당
5th row강촌식당
ValueCountFrequency (%)
1004 6
 
0.9%
신안군관광협의회 5
 
0.8%
시골밥상 4
 
0.6%
둔장계절음식점 4
 
0.6%
횟집 4
 
0.6%
식당 4
 
0.6%
카페 3
 
0.5%
먹거리 3
 
0.5%
중앙식당 3
 
0.5%
cafe 3
 
0.5%
Other values (573) 605
93.9%
2023-12-12T16:27:25.048293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 160
 
5.5%
당 142
 
4.9%
129
 
4.5%
집 54
 
1.9%
신 43
 
1.5%
안 41
 
1.4%
점 40
 
1.4%
수 33
 
1.1%
정 31
 
1.1%
횟 31
 
1.1%
Other values (408) 2193
75.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2508
86.6%
Space Separator 129
 
4.5%
Lowercase Letter 93
 
3.2%
Decimal Number 70
 
2.4%
Uppercase Letter 44
 
1.5%
Close Punctuation 20
 
0.7%
Open Punctuation 20
 
0.7%
Other Punctuation 9
 
0.3%
Dash Punctuation 3
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 160
 
6.4%
당 142
 
5.7%
집 54
 
2.2%
신 43
 
1.7%
안 41
 
1.6%
점 40
 
1.6%
수 33
 
1.3%
정 31
 
1.2%
횟 31
 
1.2%
지 30
 
1.2%
Other values (364) 1903
75.9%
Lowercase Letter
ValueCountFrequency (%)
e 16
17.2%
a 15
16.1%
c 11
11.8%
o 11
11.8%
f 8
8.6%
r 7
7.5%
l 7
7.5%
n 4
 
4.3%
i 3
 
3.2%
t 2
 
2.2%
Other values (6) 9
9.7%
Uppercase Letter
ValueCountFrequency (%)
B 11
25.0%
S 5
11.4%
C 5
11.4%
E 4
 
9.1%
L 3
 
6.8%
H 3
 
6.8%
A 3
 
6.8%
F 2
 
4.5%
Q 2
 
4.5%
M 2
 
4.5%
Other values (3) 4
 
9.1%
Decimal Number
ValueCountFrequency (%)
0 24
34.3%
1 16
22.9%
4 14
20.0%
6 4
 
5.7%
2 4
 
5.7%
7 3
 
4.3%
5 3
 
4.3%
3 2
 
2.9%
Other Punctuation
ValueCountFrequency (%)
& 8
88.9%
· 1
 
11.1%
Space Separator
ValueCountFrequency (%)
129
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2505
86.5%
Common 251
 
8.7%
Latin 138
 
4.8%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 160
 
6.4%
당 142
 
5.7%
집 54
 
2.2%
신 43
 
1.7%
안 41
 
1.6%
점 40
 
1.6%
수 33
 
1.3%
정 31
 
1.2%
횟 31
 
1.2%
지 30
 
1.2%
Other values (362) 1900
75.8%
Latin
ValueCountFrequency (%)
e 16
 
11.6%
a 15
 
10.9%
B 11
 
8.0%
c 11
 
8.0%
o 11
 
8.0%
f 8
 
5.8%
r 7
 
5.1%
l 7
 
5.1%
S 5
 
3.6%
C 5
 
3.6%
Other values (20) 42
30.4%
Common
ValueCountFrequency (%)
129
51.4%
0 24
 
9.6%
) 20
 
8.0%
( 20
 
8.0%
1 16
 
6.4%
4 14
 
5.6%
& 8
 
3.2%
6 4
 
1.6%
2 4
 
1.6%
- 3
 
1.2%
Other values (4) 9
 
3.6%
Han
ValueCountFrequency (%)
家 2
66.7%
漁 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2505
86.5%
ASCII 387
 
13.4%
CJK 3
 
0.1%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 160
 
6.4%
당 142
 
5.7%
집 54
 
2.2%
신 43
 
1.7%
안 41
 
1.6%
점 40
 
1.6%
수 33
 
1.3%
정 31
 
1.2%
횟 31
 
1.2%
지 30
 
1.2%
Other values (362) 1900
75.8%
ASCII
ValueCountFrequency (%)
129
33.3%
0 24
 
6.2%
) 20
 
5.2%
( 20
 
5.2%
e 16
 
4.1%
1 16
 
4.1%
a 15
 
3.9%
4 14
 
3.6%
B 11
 
2.8%
c 11
 
2.8%
Other values (32) 111
28.7%
CJK
ValueCountFrequency (%)
家 2
66.7%
漁 1
33.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct400
Distinct (%)83.5%
Missing36
Missing (%)7.0%
Memory size4.2 KiB
2023-12-12T16:27:25.334214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.691023
Min length18

Characters and Unicode

Total characters10390
Distinct characters131
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

Unique369 ?
Unique (%)77.0%

Sample

1st row전라남도 신안군 흑산면 예리1길 112
2nd row전라남도 신안군 압해읍 압해로 878
3rd row전라남도 신안군 압해읍 복룡로 2-1
4th row전라남도 신안군 장산면 장산로 681-1
5th row전라남도 신안군 장산면 아미산길 11
ValueCountFrequency (%)
전라남도 479
20.0%
신안군 479
20.0%
지도읍 81
 
3.4%
흑산면 61
 
2.5%
압해읍 56
 
2.3%
임자면 47
 
2.0%
자은면 42
 
1.8%
압해로 36
 
1.5%
읍내길 33
 
1.4%
안좌면 32
 
1.3%
Other values (440) 1049
43.8%
2023-12-12T16:27:25.674719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1916
18.4%
도 695
 
6.7%
안 517
 
5.0%
신 504
 
4.9%
남 499
 
4.8%
전 483
 
4.6%
라 479
 
4.6%
군 479
 
4.6%
1 433
 
4.2%
면 344
 
3.3%
Other values (121) 4041
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6549
63.0%
Space Separator 1916
 
18.4%
Decimal Number 1687
 
16.2%
Dash Punctuation 238
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 695
 
10.6%
안 517
 
7.9%
신 504
 
7.7%
남 499
 
7.6%
전 483
 
7.4%
라 479
 
7.3%
군 479
 
7.3%
면 344
 
5.3%
길 296
 
4.5%
읍 185
 
2.8%
Other values (109) 2068
31.6%
Decimal Number
ValueCountFrequency (%)
1 433
25.7%
2 266
15.8%
3 179
10.6%
8 157
 
9.3%
6 141
 
8.4%
4 119
 
7.1%
5 117
 
6.9%
7 110
 
6.5%
0 104
 
6.2%
9 61
 
3.6%
Space Separator
ValueCountFrequency (%)
1916
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 238
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6549
63.0%
Common 3841
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 695
 
10.6%
안 517
 
7.9%
신 504
 
7.7%
남 499
 
7.6%
전 483
 
7.4%
라 479
 
7.3%
군 479
 
7.3%
면 344
 
5.3%
길 296
 
4.5%
읍 185
 
2.8%
Other values (109) 2068
31.6%
Common
ValueCountFrequency (%)
1916
49.9%
1 433
 
11.3%
2 266
 
6.9%
- 238
 
6.2%
3 179
 
4.7%
8 157
 
4.1%
6 141
 
3.7%
4 119
 
3.1%
5 117
 
3.0%
7 110
 
2.9%
Other values (2) 165
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6549
63.0%
ASCII 3841
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1916
49.9%
1 433
 
11.3%
2 266
 
6.9%
- 238
 
6.2%
3 179
 
4.7%
8 157
 
4.1%
6 141
 
3.7%
4 119
 
3.1%
5 117
 
3.0%
7 110
 
2.9%
Other values (2) 165
 
4.3%
Hangul
ValueCountFrequency (%)
도 695
 
10.6%
안 517
 
7.9%
신 504
 
7.7%
남 499
 
7.6%
전 483
 
7.4%
라 479
 
7.3%
군 479
 
7.3%
면 344
 
5.3%
길 296
 
4.5%
읍 185
 
2.8%
Other values (109) 2068
31.6%

소재지지번주소
Text

Distinct428
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-12T16:27:25.922337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length22.025243
Min length18

Characters and Unicode

Total characters11343
Distinct characters111
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

Unique391 ?
Unique (%)75.9%

Sample

1st row전라남도 신안군 흑산면 예리 224-9
2nd row전라남도 신안군 압해읍 학교리 614-1
3rd row전라남도 신안군 압해읍 학교리 586-1
4th row전라남도 신안군 장산면 도창리 727
5th row전라남도 신안군 장산면 오음리 3-1
ValueCountFrequency (%)
전라남도 515
19.8%
신안군 515
19.8%
지도읍 84
 
3.2%
읍내리 76
 
2.9%
압해읍 65
 
2.5%
흑산면 61
 
2.3%
예리 56
 
2.2%
임자면 50
 
1.9%
자은면 49
 
1.9%
안좌면 39
 
1.5%
Other values (494) 1087
41.9%
2023-12-12T16:27:26.302372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2086
18.4%
도 665
 
5.9%
안 554
 
4.9%
신 548
 
4.8%
전 525
 
4.6%
리 515
 
4.5%
남 515
 
4.5%
군 515
 
4.5%
라 515
 
4.5%
- 446
 
3.9%
Other values (101) 4459
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6640
58.5%
Decimal Number 2171
 
19.1%
Space Separator 2086
 
18.4%
Dash Punctuation 446
 
3.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 665
 
10.0%
안 554
 
8.3%
신 548
 
8.3%
전 525
 
7.9%
리 515
 
7.8%
남 515
 
7.8%
군 515
 
7.8%
라 515
 
7.8%
면 366
 
5.5%
읍 253
 
3.8%
Other values (89) 1669
25.1%
Decimal Number
ValueCountFrequency (%)
1 401
18.5%
3 311
14.3%
2 257
11.8%
5 197
9.1%
6 191
8.8%
4 176
8.1%
8 173
8.0%
7 162
7.5%
0 157
 
7.2%
9 146
 
6.7%
Space Separator
ValueCountFrequency (%)
2086
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 446
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6640
58.5%
Common 4703
41.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 665
 
10.0%
안 554
 
8.3%
신 548
 
8.3%
전 525
 
7.9%
리 515
 
7.8%
남 515
 
7.8%
군 515
 
7.8%
라 515
 
7.8%
면 366
 
5.5%
읍 253
 
3.8%
Other values (89) 1669
25.1%
Common
ValueCountFrequency (%)
2086
44.4%
- 446
 
9.5%
1 401
 
8.5%
3 311
 
6.6%
2 257
 
5.5%
5 197
 
4.2%
6 191
 
4.1%
4 176
 
3.7%
8 173
 
3.7%
7 162
 
3.4%
Other values (2) 303
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6640
58.5%
ASCII 4703
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2086
44.4%
- 446
 
9.5%
1 401
 
8.5%
3 311
 
6.6%
2 257
 
5.5%
5 197
 
4.2%
6 191
 
4.1%
4 176
 
3.7%
8 173
 
3.7%
7 162
 
3.4%
Other values (2) 303
 
6.4%
Hangul
ValueCountFrequency (%)
도 665
 
10.0%
안 554
 
8.3%
신 548
 
8.3%
전 525
 
7.9%
리 515
 
7.8%
남 515
 
7.8%
군 515
 
7.8%
라 515
 
7.8%
면 366
 
5.5%
읍 253
 
3.8%
Other values (89) 1669
25.1%

위도
Real number (ℝ)

SKEWED 

Distinct431
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.797892
Minimum4.8298137
Maximum35.137809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-12T16:27:26.419108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8298137
5-th percentile34.607378
Q134.71511
median34.850224
Q335.045354
95-th percentile35.086766
Maximum35.137809
Range30.307995
Interquartile range (IQR)0.33024437

Descriptive statistics

Standard deviation1.3323702
Coefficient of variation (CV)0.038288819
Kurtosis500.76469
Mean34.797892
Median Absolute Deviation (MAD)0.14749099
Skewness-22.222198
Sum17920.914
Variance1.7752103
MonotonicityNot monotonic
2023-12-12T16:27:26.532890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.05947948 15
 
2.9%
34.85022426 12
 
2.3%
34.68347499 10
 
1.9%
34.96455234 6
 
1.2%
34.71518563 6
 
1.2%
34.82876894 5
 
1.0%
34.91829037 4
 
0.8%
35.05612937 4
 
0.8%
34.84782711 3
 
0.6%
35.04535438 3
 
0.6%
Other values (421) 447
86.8%
ValueCountFrequency (%)
4.8298137 1
0.2%
34.58453438 1
0.2%
34.58469605 1
0.2%
34.58497745 1
0.2%
34.58507346 1
0.2%
34.58511363 1
0.2%
34.58517775 1
0.2%
34.58519261 1
0.2%
34.58550102 1
0.2%
34.58573648 1
0.2%
ValueCountFrequency (%)
35.13780899 1
 
0.2%
35.13762317 1
 
0.2%
35.1168339 1
 
0.2%
35.10301442 1
 
0.2%
35.10296168 3
0.6%
35.10293092 1
 
0.2%
35.1027066 1
 
0.2%
35.10253605 1
 
0.2%
35.10250783 1
 
0.2%
35.10187083 1
 
0.2%

경도
Real number (ℝ)

Distinct431
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.04665
Minimum125.19172
Maximum126.35798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.7 KiB
2023-12-12T16:27:26.672361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125.19172
5-th percentile125.44311
Q1126.03768
median126.11363
Q3126.20567
95-th percentile126.31452
Maximum126.35798
Range1.1662556
Interquartile range (IQR)0.1679853

Descriptive statistics

Standard deviation0.2476533
Coefficient of variation (CV)0.001964775
Kurtosis2.0519594
Mean126.04665
Median Absolute Deviation (MAD)0.0903408
Skewness-1.6906624
Sum64914.024
Variance0.061332157
MonotonicityNot monotonic
2023-12-12T16:27:26.822631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.207174 15
 
2.9%
126.0407659 12
 
2.3%
125.442162 10
 
1.9%
126.1359305 6
 
1.2%
125.9358322 6
 
1.2%
126.1144222 5
 
1.0%
126.0600365 4
 
0.8%
126.2063626 4
 
0.8%
126.2275339 3
 
0.6%
126.2028807 3
 
0.6%
Other values (421) 447
86.8%
ValueCountFrequency (%)
125.1917233 1
 
0.2%
125.1918836 1
 
0.2%
125.1930802 1
 
0.2%
125.3970917 1
 
0.2%
125.432232 1
 
0.2%
125.441746 1
 
0.2%
125.4419739 2
 
0.4%
125.442162 10
1.9%
125.4422687 1
 
0.2%
125.4424004 1
 
0.2%
ValueCountFrequency (%)
126.3579789 2
0.4%
126.3559917 1
0.2%
126.355745 1
0.2%
126.3556703 1
0.2%
126.3521846 1
0.2%
126.351785 1
0.2%
126.3514253 1
0.2%
126.3511708 1
0.2%
126.3510492 1
0.2%
126.3503191 1
0.2%

소재지전화번호
Text

MISSING 

Distinct144
Distinct (%)87.8%
Missing351
Missing (%)68.2%
Memory size4.2 KiB
2023-12-12T16:27:27.078348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1968
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

Unique137 ?
Unique (%)83.5%

Sample

1st row061-271-9700
2nd row061-271-7634
3rd row061-271-2906
4th row061-271-7677
5th row061-278-0569
ValueCountFrequency (%)
061-988-8888 8
 
4.9%
061-275-0000 5
 
3.0%
061-260-3340 4
 
2.4%
061-262-3003 3
 
1.8%
061-682-8230 3
 
1.8%
061-271-0826 2
 
1.2%
061-271-5505 2
 
1.2%
061-261-4700 1
 
0.6%
061-275-4470 1
 
0.6%
061-275-6636 1
 
0.6%
Other values (134) 134
81.7%
2023-12-12T16:27:27.466590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 328
16.7%
0 308
15.7%
1 255
13.0%
6 248
12.6%
2 235
11.9%
7 166
8.4%
5 126
 
6.4%
8 99
 
5.0%
3 77
 
3.9%
9 67
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1640
83.3%
Dash Punctuation 328
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 308
18.8%
1 255
15.5%
6 248
15.1%
2 235
14.3%
7 166
10.1%
5 126
7.7%
8 99
 
6.0%
3 77
 
4.7%
9 67
 
4.1%
4 59
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 328
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 328
16.7%
0 308
15.7%
1 255
13.0%
6 248
12.6%
2 235
11.9%
7 166
8.4%
5 126
 
6.4%
8 99
 
5.0%
3 77
 
3.9%
9 67
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 328
16.7%
0 308
15.7%
1 255
13.0%
6 248
12.6%
2 235
11.9%
7 166
8.4%
5 126
 
6.4%
8 99
 
5.0%
3 77
 
3.9%
9 67
 
3.4%

업종명
Categorical

Distinct17
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
한식
286 
기타
82 
한식+생선회
42 
호프(소주방)+통닭(치킨)
31 
중국식
 
24
Other values (12)
50 

Length

Max length19
Median length2
Mean length3.3572816
Min length2

Unique

Unique6 ?
Unique (%)1.2%

Sample

1st row한식+생선회
2nd row한식+식육(숯불구이)
3rd row중국식
4th row한식
5th row한식

Common Values

ValueCountFrequency (%)
한식 286
55.5%
기타 82
 
15.9%
한식+생선회 42
 
8.2%
호프(소주방)+통닭(치킨) 31
 
6.0%
중국식 24
 
4.7%
분식 15
 
2.9%
경양식 12
 
2.3%
식육(숯불구이) 6
 
1.2%
통닭(치킨) 5
 
1.0%
횟집 3
 
0.6%
Other values (7) 9
 
1.7%

Length

2023-12-12T16:27:27.631190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 286
55.5%
기타 82
 
15.9%
한식+생선회 42
 
8.2%
호프(소주방)+통닭(치킨 31
 
6.0%
중국식 24
 
4.7%
분식 15
 
2.9%
경양식 12
 
2.3%
식육(숯불구이 6
 
1.2%
통닭(치킨 5
 
1.0%
횟집 3
 
0.6%
Other values (7) 9
 
1.7%

다중이용업소여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size647.0 B
False
515 
ValueCountFrequency (%)
False 515
100.0%
2023-12-12T16:27:27.723513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
Minimum2023-06-21 00:00:00
Maximum2023-06-21 00:00:00
2023-12-12T16:27:27.800537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:27.909488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T16:27:22.780142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:22.095624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:22.451755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:22.895237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:22.217583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:22.552087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:23.002834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:22.342160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:27:22.668236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:27:27.990448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도업종명
연번1.0000.0000.2160.466
위도0.0001.0000.0620.000
경도0.2160.0621.0000.000
업종명0.4660.0000.0001.000
2023-12-12T16:27:28.114963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도업종명
연번1.0000.1320.0590.200
위도0.1321.0000.4940.000
경도0.0590.4941.0000.000
업종명0.2000.0000.0001.000

Missing values

2023-12-12T16:27:23.172279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:27:23.397614image/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.
2023-12-12T16:27:23.522522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번음식점명소재지도로명주소소재지지번주소위도경도소재지전화번호업종명다중이용업소여부데이터기준일자
01미화횟집전라남도 신안군 흑산면 예리1길 112전라남도 신안군 흑산면 예리 224-934.686771125.444658<NA>한식+생선회N2023-06-21
12섬마을 식육식당전라남도 신안군 압해읍 압해로 878전라남도 신안군 압해읍 학교리 614-134.865293126.313219061-271-9700한식+식육(숯불구이)N2023-06-21
23삼거리 반점전라남도 신안군 압해읍 복룡로 2-1전라남도 신안군 압해읍 학교리 586-134.865358126.312009061-271-7634중국식N2023-06-21
34동화식당<NA>전라남도 신안군 장산면 도창리 72734.64156126.149964061-271-2906한식N2023-06-21
45강촌식당전라남도 신안군 장산면 장산로 681-1전라남도 신안군 장산면 오음리 3-134.669139126.161764061-271-7677한식N2023-06-21
56황소가든전라남도 신안군 장산면 아미산길 11전라남도 신안군 장산면 대리 396-134.641392126.146467<NA>한식N2023-06-21
67축강식당전라남도 신안군 장산면 장산동면길 433전라남도 신안군 장산면 팽진리 510-234.630662126.185401<NA>한식N2023-06-21
78꽃님이네식당전라남도 신안군 장산면 장산중앙길 5전라남도 신안군 장산면 도창리 676-934.642558126.148508<NA>한식N2023-06-21
89미연식당전라남도 신안군 압해읍 월포안길 15-2전라남도 신안군 압해읍 학교리 656-434.864016126.314472061-278-0569한식N2023-06-21
910시골밥상전라남도 신안군 압해읍 학동길 4전라남도 신안군 압해읍 학교리 621-834.865033126.314545<NA>한식N2023-06-21
연번음식점명소재지도로명주소소재지지번주소위도경도소재지전화번호업종명다중이용업소여부데이터기준일자
505506Snack Corner(스넥코너)전라남도 신안군 자은면 자은서부1길 163-101전라남도 신안군 자은면 유각리 931-234.850224126.040766061-682-8230기타N2023-06-21
506507섬 왕새우 먹거리 장터<NA>전라남도 신안군 안좌면 소곡리 799-334.717248126.117089<NA>기타N2023-06-21
507508맨드라미 향토음식점전라남도 신안군 증도면 병풍1길 54전라남도 신안군 증도면 병풍리 533-134.96081126.213386<NA>기타N2023-06-21
508509지도읍 여성단체협의회전라남도 신안군 지도읍 해제지도로 1283-24전라남도 신안군 지도읍 읍내리 350-835.056129126.206363<NA>기타N2023-06-21
509510신안꾸지뽕나무 영농조합법인전라남도 신안군 지도읍 해제지도로 1283-24전라남도 신안군 지도읍 읍내리 350-835.056129126.206363061-261-3070기타N2023-06-21
510511임자면 여성단체전라남도 신안군 임자면 대광해수욕장길 172-11전라남도 신안군 임자면 대기리 2523-1635.102962126.074573<NA>기타N2023-06-21
511512임자면 청년회전라남도 신안군 임자면 대광해수욕장길 172-11전라남도 신안군 임자면 대기리 2523-1635.102962126.074573<NA>기타N2023-06-21
512513전장포부녀회<NA>전라남도 신안군 임자면 대기리 252435.101871126.074128<NA>한식N2023-06-21
513514먹거리장터<NA>전라남도 신안군 압해읍 송공리 53-3834.852464126.244002<NA>기타N2023-06-21
514515신안군 농수산물 판매<NA>전라남도 신안군 압해읍 송공리 53-3834.852464126.244002<NA>한식N2023-06-21