Overview

Dataset statistics

Number of variables5
Number of observations22
Missing cells2
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory47.0 B

Variable types

Text3
Numeric1
Categorical1

Dataset

Description전라북도 정읍시 소재한 위탁급식영업 현황중(업소명, 소재지도로명주소, 소재지연락처, 1일평균급식인원 )등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15047937/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
소재지전화 has 2 (9.1%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
1일평균급식인원 has 1 (4.5%) zerosZeros

Reproduction

Analysis started2023-12-12 13:21:05.504202
Analysis finished2023-12-12 13:21:05.963082
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T22:21:06.121670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length9.2727273
Min length4

Characters and Unicode

Total characters204
Distinct characters91
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row롯데쇼핑(주)롯데마트 정읍점
2nd row동원페이퍼(주)정읍공장
3rd row(주)팜스코
4th row대우전자부품(주)
5th row주식회사 팜덕
ValueCountFrequency (%)
주식회사 2
 
6.5%
롯데쇼핑(주)롯데마트 1
 
3.2%
캐스코주식회사 1
 
3.2%
전북과학대학교 1
 
3.2%
주)세움 1
 
3.2%
제일유리 1
 
3.2%
내장산생태탐방원 1
 
3.2%
국립공원공단 1
 
3.2%
전북분원 1
 
3.2%
한국생명공학연구원 1
 
3.2%
Other values (20) 20
64.5%
2023-12-12T22:21:06.549774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 14
 
6.9%
( 10
 
4.9%
) 10
 
4.9%
9
 
4.4%
이 8
 
3.9%
스 7
 
3.4%
공 7
 
3.4%
원 7
 
3.4%
사 7
 
3.4%
식 5
 
2.5%
Other values (81) 120
58.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 174
85.3%
Open Punctuation 10
 
4.9%
Close Punctuation 10
 
4.9%
Space Separator 9
 
4.4%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
8.0%
이 8
 
4.6%
스 7
 
4.0%
공 7
 
4.0%
원 7
 
4.0%
사 7
 
4.0%
식 5
 
2.9%
장 5
 
2.9%
회 4
 
2.3%
국 3
 
1.7%
Other values (77) 107
61.5%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 174
85.3%
Common 30
 
14.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
8.0%
이 8
 
4.6%
스 7
 
4.0%
공 7
 
4.0%
원 7
 
4.0%
사 7
 
4.0%
식 5
 
2.9%
장 5
 
2.9%
회 4
 
2.3%
국 3
 
1.7%
Other values (77) 107
61.5%
Common
ValueCountFrequency (%)
( 10
33.3%
) 10
33.3%
9
30.0%
2 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 174
85.3%
ASCII 30
 
14.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 14
 
8.0%
이 8
 
4.6%
스 7
 
4.0%
공 7
 
4.0%
원 7
 
4.0%
사 7
 
4.0%
식 5
 
2.9%
장 5
 
2.9%
회 4
 
2.3%
국 3
 
1.7%
Other values (77) 107
61.5%
ASCII
ValueCountFrequency (%)
( 10
33.3%
) 10
33.3%
9
30.0%
2 1
 
3.3%

소재지(도로명)
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T22:21:06.807297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length31.5
Mean length24.727273
Min length20

Characters and Unicode

Total characters544
Distinct characters76
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row전라북도 정읍시 벚꽃로 85 (농소동)
2nd row전라북도 정읍시 공단1길 50 (영파동)
3rd row전라북도 정읍시 공단1길 31 (영파동)
4th row전라북도 정읍시 공단2길 3 (망제동)
5th row전라북도 정읍시 신태인읍 석지로 621-31
ValueCountFrequency (%)
전라북도 22
 
18.5%
정읍시 22
 
18.5%
북면 6
 
5.0%
고부면 2
 
1.7%
정읍3공단 2
 
1.7%
3산단3길 2
 
1.7%
공단1길 2
 
1.7%
고부농단길 2
 
1.7%
영파동 2
 
1.7%
신정동 2
 
1.7%
Other values (51) 55
46.2%
2023-12-12T22:21:07.260284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
97
17.8%
북 31
 
5.7%
정 28
 
5.1%
읍 27
 
5.0%
시 23
 
4.2%
전 22
 
4.0%
도 22
 
4.0%
라 22
 
4.0%
1 18
 
3.3%
2 17
 
3.1%
Other values (66) 237
43.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 329
60.5%
Space Separator 97
 
17.8%
Decimal Number 81
 
14.9%
Open Punctuation 14
 
2.6%
Close Punctuation 14
 
2.6%
Other Punctuation 5
 
0.9%
Dash Punctuation 4
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 31
 
9.4%
정 28
 
8.5%
읍 27
 
8.2%
시 23
 
7.0%
전 22
 
6.7%
도 22
 
6.7%
라 22
 
6.7%
단 16
 
4.9%
길 14
 
4.3%
동 11
 
3.3%
Other values (51) 113
34.3%
Decimal Number
ValueCountFrequency (%)
1 18
22.2%
2 17
21.0%
3 16
19.8%
6 8
9.9%
5 6
 
7.4%
8 5
 
6.2%
0 4
 
4.9%
4 3
 
3.7%
7 2
 
2.5%
9 2
 
2.5%
Space Separator
ValueCountFrequency (%)
97
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 329
60.5%
Common 215
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 31
 
9.4%
정 28
 
8.5%
읍 27
 
8.2%
시 23
 
7.0%
전 22
 
6.7%
도 22
 
6.7%
라 22
 
6.7%
단 16
 
4.9%
길 14
 
4.3%
동 11
 
3.3%
Other values (51) 113
34.3%
Common
ValueCountFrequency (%)
97
45.1%
1 18
 
8.4%
2 17
 
7.9%
3 16
 
7.4%
( 14
 
6.5%
) 14
 
6.5%
6 8
 
3.7%
5 6
 
2.8%
8 5
 
2.3%
, 5
 
2.3%
Other values (5) 15
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 329
60.5%
ASCII 215
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
97
45.1%
1 18
 
8.4%
2 17
 
7.9%
3 16
 
7.4%
( 14
 
6.5%
) 14
 
6.5%
6 8
 
3.7%
5 6
 
2.8%
8 5
 
2.3%
, 5
 
2.3%
Other values (5) 15
 
7.0%
Hangul
ValueCountFrequency (%)
북 31
 
9.4%
정 28
 
8.5%
읍 27
 
8.2%
시 23
 
7.0%
전 22
 
6.7%
도 22
 
6.7%
라 22
 
6.7%
단 16
 
4.9%
길 14
 
4.3%
동 11
 
3.3%
Other values (51) 113
34.3%

소재지전화
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing2
Missing (%)9.1%
Memory size308.0 B
2023-12-12T22:21:07.507495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.05
Min length12

Characters and Unicode

Total characters241
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

Unique20 ?
Unique (%)100.0%

Sample

1st row063-535-8797
2nd row063-536-8811
3rd row063-536-1160
4th row063-530-8242
5th row063-713-5202
ValueCountFrequency (%)
063-536-4131 1
 
5.0%
063-536-1160 1
 
5.0%
063-570-6184 1
 
5.0%
063-536-8841 1
 
5.0%
070-7829-0070 1
 
5.0%
063-538-7211 1
 
5.0%
063-538-1700 1
 
5.0%
063-570-5403 1
 
5.0%
063-570-7718 1
 
5.0%
063-538-0362 1
 
5.0%
Other values (10) 10
50.0%
2023-12-12T22:21:07.840616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40
16.6%
- 40
16.6%
3 38
15.8%
6 28
11.6%
5 25
10.4%
1 19
7.9%
7 19
7.9%
8 13
 
5.4%
2 9
 
3.7%
4 8
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
83.4%
Dash Punctuation 40
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40
19.9%
3 38
18.9%
6 28
13.9%
5 25
12.4%
1 19
9.5%
7 19
9.5%
8 13
 
6.5%
2 9
 
4.5%
4 8
 
4.0%
9 2
 
1.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40
16.6%
- 40
16.6%
3 38
15.8%
6 28
11.6%
5 25
10.4%
1 19
7.9%
7 19
7.9%
8 13
 
5.4%
2 9
 
3.7%
4 8
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40
16.6%
- 40
16.6%
3 38
15.8%
6 28
11.6%
5 25
10.4%
1 19
7.9%
7 19
7.9%
8 13
 
5.4%
2 9
 
3.7%
4 8
 
3.3%

1일평균급식인원
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.818182
Minimum0
Maximum143
Zeros1
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T22:21:07.977072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.15
Q141.75
median57.5
Q392.5
95-th percentile122.35
Maximum143
Range143
Interquartile range (IQR)50.75

Descriptive statistics

Standard deviation35.554969
Coefficient of variation (CV)0.54019981
Kurtosis-0.27983592
Mean65.818182
Median Absolute Deviation (MAD)21.5
Skewness0.42693067
Sum1448
Variance1264.1558
MonotonicityNot monotonic
2023-12-12T22:21:08.110221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
95 2
 
9.1%
70 1
 
4.5%
85 1
 
4.5%
55 1
 
4.5%
143 1
 
4.5%
0 1
 
4.5%
41 1
 
4.5%
60 1
 
4.5%
45 1
 
4.5%
25 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
0 1
4.5%
25 1
4.5%
28 1
4.5%
35 1
4.5%
40 1
4.5%
41 1
4.5%
44 1
4.5%
45 1
4.5%
47 1
4.5%
50 1
4.5%
ValueCountFrequency (%)
143 1
4.5%
123 1
4.5%
110 1
4.5%
108 1
4.5%
95 2
9.1%
85 1
4.5%
78 1
4.5%
71 1
4.5%
70 1
4.5%
60 1
4.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-08-10
22 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-10
2nd row2023-08-10
3rd row2023-08-10
4th row2023-08-10
5th row2023-08-10

Common Values

ValueCountFrequency (%)
2023-08-10 22
100.0%

Length

2023-12-12T22:21:08.271238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:21:08.371070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-10 22
100.0%

Interactions

2023-12-12T22:21:05.692412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:21:08.433506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지전화1일평균급식인원
업소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
소재지전화1.0001.0001.0001.000
1일평균급식인원1.0001.0001.0001.000

Missing values

2023-12-12T22:21:05.824788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:21:05.923994image/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

업소명소재지(도로명)소재지전화1일평균급식인원데이터기준일자
0롯데쇼핑(주)롯데마트 정읍점전라북도 정읍시 벚꽃로 85 (농소동)063-535-8797702023-08-10
1동원페이퍼(주)정읍공장전라북도 정읍시 공단1길 50 (영파동)063-536-8811442023-08-10
2(주)팜스코전라북도 정읍시 공단1길 31 (영파동)063-536-1160472023-08-10
3대우전자부품(주)전라북도 정읍시 공단2길 3 (망제동)063-530-8242952023-08-10
4주식회사 팜덕전라북도 정읍시 신태인읍 석지로 621-31063-713-5202952023-08-10
5(주) 플러스원전라북도 정읍시 신태인읍 석지로 621-12063-571-8141782023-08-10
6현보하이텍전라북도 정읍시 고부면 고부농단길 11-6063-536-1560502023-08-10
7(주)케이넷전라북도 정읍시 고부면 고부농단길 40, 케이넷 2공장063-537-7740352023-08-10
8우성공업사주식회사전라북도 정읍시 북면 북면공단2길 86063-535-1317282023-08-10
9(주)크린앤사이언스 2공장전라북도 정읍시 북면 3산단3길 52<NA>1102023-08-10
업소명소재지(도로명)소재지전화1일평균급식인원데이터기준일자
12에스케이 넥실리스전라북도 정읍시 북면 3산단2길 2 (정읍3공단)063-530-42271082023-08-10
13크린앤사이언스전라북도 정읍시 북면 3산단3길 67 (정읍3공단 15블럭)<NA>852023-08-10
14(주)국일방적태인공장전라북도 정읍시 태인면 태인공단1길 103063-538-0362402023-08-10
15내장산골프리조트직원식당전라북도 정읍시 첨단과학로 476 (신정동)063-570-7718252023-08-10
16한국생명공학연구원 전북분원전라북도 정읍시 입신길 181 (신정동)063-570-5403452023-08-10
17국립공원공단 내장산생태탐방원전라북도 정읍시 내장호반로 266, 내장산생태탐방원 (쌍암동)063-538-1700602023-08-10
18제일유리 주식회사전라북도 정읍시 2산단2길 33, 제일유리주식회사 1층 (하북동)063-538-7211412023-08-10
19(주)세움전라북도 정읍시 정신로 22-19 (하북동)070-7829-007002023-08-10
20전북과학대학교전라북도 정읍시 정읍사로 509 (시기동)063-536-88411432023-08-10
21정읍농협전라북도 정읍시 명덕로 25 (연지동,(3층))063-530-5500552023-08-10