Overview

Dataset statistics

Number of variables10
Number of observations595
Missing cells77
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.8 KiB
Average record size in memory82.2 B

Variable types

Text4
DateTime1
Categorical3
Numeric2

Dataset

Description전북특별자치도 전주시 내 집단급식소를 제공하며 사업장명, 인허가일자, 영업상태명, 소재지전화번호 등을 제공합니다.항목 : 사업장명, 인허가일자, 영업상태명, 소재지전화번호, 도로명주소 등제공부서 : 환경위생과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15083098/fileData.do

Alerts

영업상태명 has constant value ""Constant
위생업태명 is highly overall correlated with 업태구분명High correlation
업태구분명 is highly overall correlated with 위생업태명High correlation
소재지전화 has 77 (12.9%) missing valuesMissing

Reproduction

Analysis started2024-03-14 19:22:14.513004
Analysis finished2024-03-14 19:22:17.258953
Duration2.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct594
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-03-15T04:22:17.954365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length8.1445378
Min length3

Characters and Unicode

Total characters4846
Distinct characters352
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique593 ?
Unique (%)99.7%

Sample

1st row(사)중산어린이집
2nd row(유)비앤비전주교육원
3rd row(의) 옥성의료재단
4th row(재)건설기술호남교육원전주분원
5th row(재)전라북도경제통상진흥원
ValueCountFrequency (%)
어린이집 4
 
0.6%
의료법인 3
 
0.5%
아이들세상어린이집 2
 
0.3%
농촌진흥청 2
 
0.3%
전북지역본부 2
 
0.3%
주식회사 2
 
0.3%
전주양현초등학교 1
 
0.2%
전주여울초등학교 1
 
0.2%
전주여자고등학교 1
 
0.2%
전주영생고등학교 1
 
0.2%
Other values (608) 608
97.0%
2024-03-15T04:22:19.214546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 258
 
5.3%
주 232
 
4.8%
원 213
 
4.4%
이 197
 
4.1%
학 184
 
3.8%
교 175
 
3.6%
집 170
 
3.5%
린 168
 
3.5%
어 162
 
3.3%
등 105
 
2.2%
Other values (342) 2982
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4743
97.9%
Space Separator 32
 
0.7%
Open Punctuation 32
 
0.7%
Close Punctuation 32
 
0.7%
Decimal Number 4
 
0.1%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 258
 
5.4%
주 232
 
4.9%
원 213
 
4.5%
이 197
 
4.2%
학 184
 
3.9%
교 175
 
3.7%
집 170
 
3.6%
린 168
 
3.5%
어 162
 
3.4%
등 105
 
2.2%
Other values (334) 2879
60.7%
Decimal Number
ValueCountFrequency (%)
2 3
75.0%
1 1
 
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4743
97.9%
Common 102
 
2.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 258
 
5.4%
주 232
 
4.9%
원 213
 
4.5%
이 197
 
4.2%
학 184
 
3.9%
교 175
 
3.7%
집 170
 
3.6%
린 168
 
3.5%
어 162
 
3.4%
등 105
 
2.2%
Other values (334) 2879
60.7%
Common
ValueCountFrequency (%)
32
31.4%
( 32
31.4%
) 32
31.4%
2 3
 
2.9%
1 1
 
1.0%
. 1
 
1.0%
/ 1
 
1.0%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4743
97.9%
ASCII 103
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 258
 
5.4%
주 232
 
4.9%
원 213
 
4.5%
이 197
 
4.2%
학 184
 
3.9%
교 175
 
3.7%
집 170
 
3.6%
린 168
 
3.5%
어 162
 
3.4%
등 105
 
2.2%
Other values (334) 2879
60.7%
ASCII
ValueCountFrequency (%)
32
31.1%
( 32
31.1%
) 32
31.1%
2 3
 
2.9%
1 1
 
1.0%
. 1
 
1.0%
S 1
 
1.0%
/ 1
 
1.0%

인허가일자
Date

Distinct514
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
Minimum1987-06-11 00:00:00
Maximum2022-07-01 00:00:00
2024-03-15T04:22:19.551701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:22:19.823677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
영업/정상
595 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 595
100.0%

Length

2024-03-15T04:22:20.048212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:22:20.387328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 595
100.0%

소재지전화
Text

MISSING 

Distinct510
Distinct (%)98.5%
Missing77
Missing (%)12.9%
Memory size4.8 KiB
2024-03-15T04:22:21.244634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters6216
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

Unique504 ?
Unique (%)97.3%

Sample

1st row063-283-6667
2nd row063-243-0594
3rd row063-214-6600
4th row063-711-2065
5th row063-210-6514
ValueCountFrequency (%)
063-270-4669 4
 
0.8%
063-244-6636 2
 
0.4%
063-272-8415 2
 
0.4%
063-210-2245 2
 
0.4%
063-221-2228 2
 
0.4%
063-227-9100 2
 
0.4%
063-220-3511 1
 
0.2%
063-241-7743 1
 
0.2%
063-226-2694 1
 
0.2%
063-717-1700 1
 
0.2%
Other values (500) 500
96.5%
2024-03-15T04:22:22.419698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1036
16.7%
0 927
14.9%
2 905
14.6%
3 832
13.4%
6 713
11.5%
1 417
6.7%
5 333
 
5.4%
7 323
 
5.2%
4 302
 
4.9%
8 253
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5180
83.3%
Dash Punctuation 1036
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 927
17.9%
2 905
17.5%
3 832
16.1%
6 713
13.8%
1 417
8.1%
5 333
 
6.4%
7 323
 
6.2%
4 302
 
5.8%
8 253
 
4.9%
9 175
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 1036
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6216
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1036
16.7%
0 927
14.9%
2 905
14.6%
3 832
13.4%
6 713
11.5%
1 417
6.7%
5 333
 
5.4%
7 323
 
5.2%
4 302
 
4.9%
8 253
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6216
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1036
16.7%
0 927
14.9%
2 905
14.6%
3 832
13.4%
6 713
11.5%
1 417
6.7%
5 333
 
5.4%
7 323
 
5.2%
4 302
 
4.9%
8 253
 
4.1%

도로명주소
Text

Distinct586
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-03-15T04:22:24.015427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length55
Mean length35.053782
Min length22

Characters and Unicode

Total characters20857
Distinct characters319
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique577 ?
Unique (%)97.0%

Sample

1st row전북특별자치도 전주시 완산구 서원로 334 (중화산동1가)
2nd row전북특별자치도 전주시 덕진구 가재미로 47 (인후동1가)
3rd row전북특별자치도 전주시 완산구 중인1길 136-20 (중인동)
4th row전북특별자치도 전주시 덕진구 삼례로 119 (반월동, 2동 1층)
5th row전북특별자치도 전주시 덕진구 팔과정로 164 (팔복동1가, 전북특별자치도 중소기업 종합지원센터 7층일부)
ValueCountFrequency (%)
전북특별자치도 596
 
15.1%
전주시 595
 
15.1%
완산구 301
 
7.6%
덕진구 294
 
7.4%
1층 94
 
2.4%
효자동3가 34
 
0.9%
인후동1가 31
 
0.8%
효자동2가 28
 
0.7%
백제대로 26
 
0.7%
송천동2가 25
 
0.6%
Other values (907) 1924
48.7%
2024-03-15T04:22:26.130079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3355
 
16.1%
전 1262
 
6.1%
1 720
 
3.5%
자 706
 
3.4%
동 655
 
3.1%
주 640
 
3.1%
시 619
 
3.0%
북 618
 
3.0%
구 604
 
2.9%
치 602
 
2.9%
Other values (309) 11076
53.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13446
64.5%
Space Separator 3355
 
16.1%
Decimal Number 2484
 
11.9%
Open Punctuation 572
 
2.7%
Close Punctuation 572
 
2.7%
Other Punctuation 297
 
1.4%
Dash Punctuation 124
 
0.6%
Uppercase Letter 5
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1262
 
9.4%
자 706
 
5.3%
동 655
 
4.9%
주 640
 
4.8%
시 619
 
4.6%
북 618
 
4.6%
구 604
 
4.5%
치 602
 
4.5%
도 601
 
4.5%
별 596
 
4.4%
Other values (289) 6543
48.7%
Decimal Number
ValueCountFrequency (%)
1 720
29.0%
2 460
18.5%
3 335
13.5%
5 167
 
6.7%
0 160
 
6.4%
4 153
 
6.2%
7 144
 
5.8%
6 142
 
5.7%
8 113
 
4.5%
9 90
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
B 2
40.0%
K 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 296
99.7%
@ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3355
100.0%
Open Punctuation
ValueCountFrequency (%)
( 572
100.0%
Close Punctuation
ValueCountFrequency (%)
) 572
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 124
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13446
64.5%
Common 7404
35.5%
Latin 7
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1262
 
9.4%
자 706
 
5.3%
동 655
 
4.9%
주 640
 
4.8%
시 619
 
4.6%
북 618
 
4.6%
구 604
 
4.5%
치 602
 
4.5%
도 601
 
4.5%
별 596
 
4.4%
Other values (289) 6543
48.7%
Common
ValueCountFrequency (%)
3355
45.3%
1 720
 
9.7%
( 572
 
7.7%
) 572
 
7.7%
2 460
 
6.2%
3 335
 
4.5%
, 296
 
4.0%
5 167
 
2.3%
0 160
 
2.2%
4 153
 
2.1%
Other values (6) 614
 
8.3%
Latin
ValueCountFrequency (%)
C 2
28.6%
e 2
28.6%
B 2
28.6%
K 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13446
64.5%
ASCII 7411
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3355
45.3%
1 720
 
9.7%
( 572
 
7.7%
) 572
 
7.7%
2 460
 
6.2%
3 335
 
4.5%
, 296
 
4.0%
5 167
 
2.3%
0 160
 
2.2%
4 153
 
2.1%
Other values (10) 621
 
8.4%
Hangul
ValueCountFrequency (%)
전 1262
 
9.4%
자 706
 
5.3%
동 655
 
4.9%
주 640
 
4.8%
시 619
 
4.6%
북 618
 
4.6%
구 604
 
4.5%
치 602
 
4.5%
도 601
 
4.5%
별 596
 
4.4%
Other values (289) 6543
48.7%

지번주소
Text

Distinct565
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
2024-03-15T04:22:27.346178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length28
Mean length26.34958
Min length22

Characters and Unicode

Total characters15678
Distinct characters70
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

Unique544 ?
Unique (%)91.4%

Sample

1st row전북특별자치도 전주시 완산구 중화산동1가 256-1
2nd row전북특별자치도 전주시 덕진구 인후동1가 881-1
3rd row전북특별자치도 전주시 완산구 중인동 1610
4th row전북특별자치도 전주시 덕진구 반월동 2-7
5th row전북특별자치도 전주시 덕진구 팔복동4가 380-5
ValueCountFrequency (%)
전북특별자치도 595
19.9%
전주시 595
19.9%
완산구 301
 
10.1%
덕진구 294
 
9.8%
효자동3가 43
 
1.4%
인후동1가 35
 
1.2%
효자동2가 32
 
1.1%
평화동2가 30
 
1.0%
효자동1가 29
 
1.0%
송천동1가 29
 
1.0%
Other values (606) 1007
33.7%
2024-03-15T04:22:28.767253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2403
 
15.3%
전 1192
 
7.6%
자 699
 
4.5%
1 637
 
4.1%
동 607
 
3.9%
북 605
 
3.9%
특 595
 
3.8%
별 595
 
3.8%
치 595
 
3.8%
도 595
 
3.8%
Other values (60) 7155
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10010
63.8%
Decimal Number 2828
 
18.0%
Space Separator 2403
 
15.3%
Dash Punctuation 437
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1192
 
11.9%
자 699
 
7.0%
동 607
 
6.1%
북 605
 
6.0%
특 595
 
5.9%
별 595
 
5.9%
치 595
 
5.9%
도 595
 
5.9%
주 595
 
5.9%
시 595
 
5.9%
Other values (48) 3337
33.3%
Decimal Number
ValueCountFrequency (%)
1 637
22.5%
2 439
15.5%
3 348
12.3%
5 254
 
9.0%
4 228
 
8.1%
6 216
 
7.6%
8 199
 
7.0%
7 195
 
6.9%
0 160
 
5.7%
9 152
 
5.4%
Space Separator
ValueCountFrequency (%)
2403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 437
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10010
63.8%
Common 5668
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1192
 
11.9%
자 699
 
7.0%
동 607
 
6.1%
북 605
 
6.0%
특 595
 
5.9%
별 595
 
5.9%
치 595
 
5.9%
도 595
 
5.9%
주 595
 
5.9%
시 595
 
5.9%
Other values (48) 3337
33.3%
Common
ValueCountFrequency (%)
2403
42.4%
1 637
 
11.2%
2 439
 
7.7%
- 437
 
7.7%
3 348
 
6.1%
5 254
 
4.5%
4 228
 
4.0%
6 216
 
3.8%
8 199
 
3.5%
7 195
 
3.4%
Other values (2) 312
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10010
63.8%
ASCII 5668
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2403
42.4%
1 637
 
11.2%
2 439
 
7.7%
- 437
 
7.7%
3 348
 
6.1%
5 254
 
4.5%
4 228
 
4.0%
6 216
 
3.8%
8 199
 
3.5%
7 195
 
3.4%
Other values (2) 312
 
5.5%
Hangul
ValueCountFrequency (%)
전 1192
 
11.9%
자 699
 
7.0%
동 607
 
6.1%
북 605
 
6.0%
특 595
 
5.9%
별 595
 
5.9%
치 595
 
5.9%
도 595
 
5.9%
주 595
 
5.9%
시 595
 
5.9%
Other values (48) 3337
33.3%

위도
Real number (ℝ)

Distinct564
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.829343
Minimum35.761307
Maximum35.888421
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-03-15T04:22:29.023638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.761307
5-th percentile35.789722
Q135.809302
median35.829638
Q335.846985
95-th percentile35.8728
Maximum35.888421
Range0.12711413
Interquartile range (IQR)0.037682755

Descriptive statistics

Standard deviation0.025693208
Coefficient of variation (CV)0.00071709962
Kurtosis-0.75104215
Mean35.829343
Median Absolute Deviation (MAD)0.01891899
Skewness0.037054234
Sum21318.459
Variance0.00066014096
MonotonicityNot monotonic
2024-03-15T04:22:29.487319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8411407 7
 
1.2%
35.84788528 4
 
0.7%
35.81783331 3
 
0.5%
35.83673137 3
 
0.5%
35.81616417 3
 
0.5%
35.82623909 2
 
0.3%
35.82100253 2
 
0.3%
35.83453646 2
 
0.3%
35.83919242 2
 
0.3%
35.87324481 2
 
0.3%
Other values (554) 565
95.0%
ValueCountFrequency (%)
35.761307 1
0.2%
35.76707707 1
0.2%
35.76823649 1
0.2%
35.77133085 1
0.2%
35.77240766 1
0.2%
35.77555003 1
0.2%
35.77876997 1
0.2%
35.78056734 1
0.2%
35.78151968 1
0.2%
35.78224359 1
0.2%
ValueCountFrequency (%)
35.88842113 1
0.2%
35.88395549 1
0.2%
35.88124098 1
0.2%
35.88027422 1
0.2%
35.87799168 1
0.2%
35.87767589 1
0.2%
35.87717541 1
0.2%
35.87694865 1
0.2%
35.87661027 1
0.2%
35.87618178 1
0.2%

경도
Real number (ℝ)

Distinct564
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12048
Minimum127.05147
Maximum127.19065
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.4 KiB
2024-03-15T04:22:29.893671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.05147
5-th percentile127.07243
Q1127.10216
median127.12352
Q3127.13871
95-th percentile127.16397
Maximum127.19065
Range0.1391823
Interquartile range (IQR)0.03654645

Descriptive statistics

Standard deviation0.02776177
Coefficient of variation (CV)0.00021838944
Kurtosis-0.48412038
Mean127.12048
Median Absolute Deviation (MAD)0.0185751
Skewness-0.28084584
Sum75636.684
Variance0.0007707159
MonotonicityNot monotonic
2024-03-15T04:22:30.470949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.13159 7
 
1.2%
127.1411043 4
 
0.7%
127.1356698 3
 
0.5%
127.0654162 3
 
0.5%
127.0888841 3
 
0.5%
127.100655 2
 
0.3%
127.1541845 2
 
0.3%
127.1305242 2
 
0.3%
127.152228 2
 
0.3%
127.0779915 2
 
0.3%
Other values (554) 565
95.0%
ValueCountFrequency (%)
127.0514662 1
0.2%
127.0521437 1
0.2%
127.0561997 1
0.2%
127.0564499 1
0.2%
127.05682 1
0.2%
127.0573103 1
0.2%
127.0576599 1
0.2%
127.0580791 1
0.2%
127.058398 1
0.2%
127.0587816 1
0.2%
ValueCountFrequency (%)
127.1906485 1
0.2%
127.1780085 1
0.2%
127.1777868 1
0.2%
127.1756551 1
0.2%
127.1734749 1
0.2%
127.1721222 1
0.2%
127.1718914 1
0.2%
127.1718202 1
0.2%
127.1710718 1
0.2%
127.1709512 1
0.2%

업태구분명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
어린이집
221 
학교
159 
병원
96 
산업체
40 
사회복지시설
35 
Other values (4)
44 

Length

Max length8
Median length6
Mean length3.2268908
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row어린이집
2nd row사회복지시설
3rd row병원
4th row산업체
5th row기타 집단급식소

Common Values

ValueCountFrequency (%)
어린이집 221
37.1%
학교 159
26.7%
병원 96
16.1%
산업체 40
 
6.7%
사회복지시설 35
 
5.9%
공공기관 32
 
5.4%
기타 집단급식소 6
 
1.0%
기숙사 5
 
0.8%
산후조리원 1
 
0.2%

Length

2024-03-15T04:22:30.950445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:22:31.360636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 221
36.8%
학교 159
26.5%
병원 96
16.0%
산업체 40
 
6.7%
사회복지시설 35
 
5.8%
공공기관 32
 
5.3%
기타 6
 
1.0%
집단급식소 6
 
1.0%
기숙사 5
 
0.8%
산후조리원 1
 
0.2%

위생업태명
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
어린이집
221 
학교
159 
병원
96 
산업체
40 
사회복지시설
35 
Other values (4)
44 

Length

Max length8
Median length6
Mean length3.2268908
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row어린이집
2nd row사회복지시설
3rd row병원
4th row산업체
5th row기타 집단급식소

Common Values

ValueCountFrequency (%)
어린이집 221
37.1%
학교 159
26.7%
병원 96
16.1%
산업체 40
 
6.7%
사회복지시설 35
 
5.9%
공공기관 32
 
5.4%
기타 집단급식소 6
 
1.0%
기숙사 5
 
0.8%
산후조리원 1
 
0.2%

Length

2024-03-15T04:22:31.837837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:22:32.380484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 221
36.8%
학교 159
26.5%
병원 96
16.0%
산업체 40
 
6.7%
사회복지시설 35
 
5.8%
공공기관 32
 
5.3%
기타 6
 
1.0%
집단급식소 6
 
1.0%
기숙사 5
 
0.8%
산후조리원 1
 
0.2%

Interactions

2024-03-15T04:22:16.028810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:22:15.462418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:22:16.513149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:22:15.736529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:22:32.650539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업태구분명위생업태명
위도1.0000.5280.1950.195
경도0.5281.0000.2790.279
업태구분명0.1950.2791.0001.000
위생업태명0.1950.2791.0001.000
2024-03-15T04:22:33.129560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위생업태명업태구분명
위생업태명1.0001.000
업태구분명1.0001.000
2024-03-15T04:22:33.559925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업태구분명위생업태명
위도1.000-0.0530.0890.089
경도-0.0531.0000.1300.130
업태구분명0.0890.1301.0001.000
위생업태명0.0890.1301.0001.000

Missing values

2024-03-15T04:22:16.893219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:22:17.156362image/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

사업장명인허가일자영업상태명소재지전화도로명주소지번주소위도경도업태구분명위생업태명
0(사)중산어린이집2001-06-15영업/정상063-283-6667전북특별자치도 전주시 완산구 서원로 334 (중화산동1가)전북특별자치도 전주시 완산구 중화산동1가 256-135.811835127.130255어린이집어린이집
1(유)비앤비전주교육원2009-08-31영업/정상063-243-0594전북특별자치도 전주시 덕진구 가재미로 47 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 881-135.829223127.162035사회복지시설사회복지시설
2(의) 옥성의료재단2013-09-11영업/정상<NA>전북특별자치도 전주시 완산구 중인1길 136-20 (중인동)전북특별자치도 전주시 완산구 중인동 161035.767077127.088739병원병원
3(재)건설기술호남교육원전주분원2017-04-07영업/정상063-214-6600전북특별자치도 전주시 덕진구 삼례로 119 (반월동, 2동 1층)전북특별자치도 전주시 덕진구 반월동 2-735.888421127.075942산업체산업체
4(재)전라북도경제통상진흥원2016-04-04영업/정상063-711-2065전북특별자치도 전주시 덕진구 팔과정로 164 (팔복동1가, 전북특별자치도 중소기업 종합지원센터 7층일부)전북특별자치도 전주시 덕진구 팔복동4가 380-535.860916127.094793기타 집단급식소기타 집단급식소
5(재)전북바이오융합산업진흥원2017-03-10영업/정상063-210-6514전북특별자치도 전주시 덕진구 원장동길 111-18 (장동, 4동 비즈니스센터 1층)전북특별자치도 전주시 덕진구 장동 452-7935.851583127.059167공공기관공공기관
6(주)미래페이퍼2008-03-21영업/정상063-214-2018전북특별자치도 전주시 덕진구 온고을로 384 (팔복동3가,외1필지 1동)전북특별자치도 전주시 덕진구 팔복동3가 40335.849828127.086729산업체산업체
7(주)아워홈효성첨단소재전주점2018-07-30영업/정상063-281-5423전북특별자치도 전주시 덕진구 기린대로 886, 1층 (동산동)전북특별자치도 전주시 덕진구 동산동 74835.865553127.088396산업체산업체
8(주)에이에프에프씨2019-06-04영업/정상063-213-3636전북특별자치도 전주시 덕진구 반룡로 50, 주건축물제1동 (팔복동2가)전북특별자치도 전주시 덕진구 팔복동2가 836-335.857042127.089213산업체산업체
9(주)이마트에코시티점집단급식소2021-09-06영업/정상063-906-5100전북특별자치도 전주시 덕진구 세병서로 9, 전주 에코시티 이마트 1층 101호 일부호 (송천동2가)전북특별자치도 전주시 덕진구 송천동2가 1329-235.872526127.12371산업체산업체
사업장명인허가일자영업상태명소재지전화도로명주소지번주소위도경도업태구분명위생업태명
585활짝핀유치원2012-06-12영업/정상063-272-6554전북특별자치도 전주시 완산구 중화산로 55-30 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 401-335.816371127.11688어린이집어린이집
586효사랑가족요양병원2007-06-11영업/정상063-244-6636전북특별자치도 전주시 완산구 용머리로 77 (효자동1가)전북특별자치도 전주시 완산구 효자동1가 29235.806705127.118834병원병원
587효사랑가족요양병원별관2017-05-31영업/정상063-711-1106전북특별자치도 전주시 완산구 용머리로 73, 4층 407호 (효자동1가, 효자프라자)전북특별자치도 전주시 완산구 효자동1가 296-17535.807046127.118163병원병원
588효사랑전주요양병원2006-06-02영업/정상063-244-6636전북특별자치도 전주시 완산구 팔달로 272 (서노송동,외2필지 지하1층)전북특별자치도 전주시 완산구 서노송동 649-535.826439127.144105병원병원
589효원유치원2002-10-07영업/정상063-227-4251전북특별자치도 전주시 완산구 화산천변6길 17 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 818-1035.821258127.114241어린이집어린이집
590효천한방병원2019-09-02영업/정상063-274-0365전북특별자치도 전주시 완산구 쑥고개로 331, 5층 501호 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1214-1035.802939127.101336병원병원
591효천한울어린이집2021-08-25영업/정상<NA>전북특별자치도 전주시 완산구 효천중앙로 20, 120동 1층 (효자동2가, 전주효천 대방노블랜드 에코파크)전북특별자치도 전주시 완산구 효자동2가 1383-235.797686127.10291어린이집어린이집
592훼미리식품(주)1987-07-15영업/정상063-212-1707전북특별자치도 전주시 덕진구 팔과정로 216 (팔복동4가)전북특별자치도 전주시 덕진구 팔복동4가 249-335.864458127.098326산업체산업체
593휴먼시아 해오름어린이집2012-10-18영업/정상063-236-0131전북특별자치도 전주시 완산구 호암로 87 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1316-135.809231127.103564어린이집어린이집
594힐링요양병원2004-12-27영업/정상063-250-3600전북특별자치도 전주시 덕진구 떡전로 15 (덕진동1가,1동 지하1층)전북특별자치도 전주시 덕진구 덕진동1가 1119-135.836037127.127557병원병원