Overview

Dataset statistics

Number of variables6
Number of observations70
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory50.9 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description울산광역시 음식물류 폐기물 다량배출사업장 현황자료(급식소구분,사업장명,업소소재지,전화번호,데이터기준일자)를 제공
Author울산광역시
URLhttps://www.data.go.kr/data/15068262/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 is highly imbalanced (81.3%)Imbalance
연번 has unique valuesUnique
사업장명 has unique valuesUnique
업소소재지 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:08:58.919586
Analysis finished2023-12-12 14:08:59.447082
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum1
Maximum70
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size762.0 B
2023-12-12T23:08:59.530647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.45
Q118.25
median35.5
Q352.75
95-th percentile66.55
Maximum70
Range69
Interquartile range (IQR)34.5

Descriptive statistics

Standard deviation20.351085
Coefficient of variation (CV)0.57327
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)17.5
Skewness0
Sum2485
Variance414.16667
MonotonicityStrictly increasing
2023-12-12T23:08:59.751773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
46 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
45 1
 
1.4%
54 1
 
1.4%
Other values (60) 60
85.7%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%
61 1
1.4%

구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size692.0 B
집단급식소
68 
대규모점포
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
집단급식소 68
97.1%
대규모점포 2
 
2.9%

Length

2023-12-12T23:08:59.926386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:09:00.131334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 68
97.1%
대규모점포 2
 
2.9%

사업장명
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T23:09:00.402534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.6857143
Min length4

Characters and Unicode

Total characters468
Distinct characters118
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)100.0%

Sample

1st row국립재난안전연구원
2nd row한국에너지공단
3rd row울산테크노파크
4th row울산광역시교육청
5th row울산광역시중구청
ValueCountFrequency (%)
국립재난안전연구원 1
 
1.4%
약사초등학교 1
 
1.4%
외솔초등학교 1
 
1.4%
약사중학교 1
 
1.4%
울산고등학교 1
 
1.4%
우정초등학교 1
 
1.4%
옥성초등학교 1
 
1.4%
울산중앙여자고등학교 1
 
1.4%
약사고등학교 1
 
1.4%
울산애니원고등학교 1
 
1.4%
Other values (61) 61
85.9%
2023-12-12T23:09:00.832422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 46
 
9.8%
교 43
 
9.2%
등 30
 
6.4%
산 22
 
4.7%
초 21
 
4.5%
울 18
 
3.8%
중 16
 
3.4%
원 14
 
3.0%
성 12
 
2.6%
병 12
 
2.6%
Other values (108) 234
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 458
97.9%
Space Separator 3
 
0.6%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Letter Number 1
 
0.2%
Uppercase Letter 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 46
 
10.0%
교 43
 
9.4%
등 30
 
6.6%
산 22
 
4.8%
초 21
 
4.6%
울 18
 
3.9%
중 16
 
3.5%
원 14
 
3.1%
성 12
 
2.6%
병 12
 
2.6%
Other values (102) 224
48.9%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
98.1%
Common 7
 
1.5%
Latin 2
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 46
 
10.0%
교 43
 
9.4%
등 30
 
6.5%
산 22
 
4.8%
초 21
 
4.6%
울 18
 
3.9%
중 16
 
3.5%
원 14
 
3.1%
성 12
 
2.6%
병 12
 
2.6%
Other values (103) 225
49.0%
Common
ValueCountFrequency (%)
3
42.9%
( 2
28.6%
) 2
28.6%
Latin
ValueCountFrequency (%)
Ⅶ 1
50.0%
H 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 458
97.9%
ASCII 8
 
1.7%
Number Forms 1
 
0.2%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 46
 
10.0%
교 43
 
9.4%
등 30
 
6.6%
산 22
 
4.8%
초 21
 
4.6%
울 18
 
3.9%
중 16
 
3.5%
원 14
 
3.1%
성 12
 
2.6%
병 12
 
2.6%
Other values (102) 224
48.9%
ASCII
ValueCountFrequency (%)
3
37.5%
( 2
25.0%
) 2
25.0%
H 1
 
12.5%
Number Forms
ValueCountFrequency (%)
Ⅶ 1
100.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업소소재지
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T23:09:01.169652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length20.5
Min length16

Characters and Unicode

Total characters1435
Distinct characters81
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

Unique70 ?
Unique (%)100.0%

Sample

1st row울산광역시 중구 종가로 365
2nd row울산광역시 중구 종가로 323
3rd row울산광역시 중구 다전로 385
4th row울산광역시 중구 북부순환도로 375(유곡동)
5th row울산광역시 중구 단장골길 1(복산동)
ValueCountFrequency (%)
울산광역시 70
25.1%
중구 70
25.1%
종가로 11
 
3.9%
장춘로 4
 
1.4%
다운로 3
 
1.1%
화합로 3
 
1.1%
남외3길 2
 
0.7%
북부순환도로 2
 
0.7%
학성로 2
 
0.7%
평동길 2
 
0.7%
Other values (108) 110
39.4%
2023-12-12T23:09:01.682139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
227
 
15.8%
산 84
 
5.9%
구 78
 
5.4%
중 71
 
4.9%
울 70
 
4.9%
광 70
 
4.9%
역 70
 
4.9%
시 70
 
4.9%
동 60
 
4.2%
) 55
 
3.8%
Other values (71) 580
40.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 881
61.4%
Space Separator 227
 
15.8%
Decimal Number 211
 
14.7%
Close Punctuation 55
 
3.8%
Open Punctuation 55
 
3.8%
Dash Punctuation 5
 
0.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 84
 
9.5%
구 78
 
8.9%
중 71
 
8.1%
울 70
 
7.9%
광 70
 
7.9%
역 70
 
7.9%
시 70
 
7.9%
동 60
 
6.8%
로 36
 
4.1%
길 33
 
3.7%
Other values (56) 239
27.1%
Decimal Number
ValueCountFrequency (%)
1 48
22.7%
5 36
17.1%
3 27
12.8%
0 24
11.4%
4 16
 
7.6%
2 16
 
7.6%
7 13
 
6.2%
6 13
 
6.2%
8 11
 
5.2%
9 7
 
3.3%
Space Separator
ValueCountFrequency (%)
227
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 881
61.4%
Common 554
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 84
 
9.5%
구 78
 
8.9%
중 71
 
8.1%
울 70
 
7.9%
광 70
 
7.9%
역 70
 
7.9%
시 70
 
7.9%
동 60
 
6.8%
로 36
 
4.1%
길 33
 
3.7%
Other values (56) 239
27.1%
Common
ValueCountFrequency (%)
227
41.0%
) 55
 
9.9%
( 55
 
9.9%
1 48
 
8.7%
5 36
 
6.5%
3 27
 
4.9%
0 24
 
4.3%
4 16
 
2.9%
2 16
 
2.9%
7 13
 
2.3%
Other values (5) 37
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 881
61.4%
ASCII 554
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
227
41.0%
) 55
 
9.9%
( 55
 
9.9%
1 48
 
8.7%
5 36
 
6.5%
3 27
 
4.9%
0 24
 
4.3%
4 16
 
2.9%
2 16
 
2.9%
7 13
 
2.3%
Other values (5) 37
 
6.7%
Hangul
ValueCountFrequency (%)
산 84
 
9.5%
구 78
 
8.9%
중 71
 
8.1%
울 70
 
7.9%
광 70
 
7.9%
역 70
 
7.9%
시 70
 
7.9%
동 60
 
6.8%
로 36
 
4.1%
길 33
 
3.7%
Other values (56) 239
27.1%

전화번호
Text

UNIQUE 

Distinct70
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size692.0 B
2023-12-12T23:09:02.006758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length12
Mean length12.2
Min length12

Characters and Unicode

Total characters854
Distinct characters12
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

Unique70 ?
Unique (%)100.0%

Sample

1st row052-928-8096
2nd row052-920-0145
3rd row052-219-8598
4th row052-210-5792
5th row052-290-3166
ValueCountFrequency (%)
052-928-8096 1
 
1.4%
052-292-8303 1
 
1.4%
052-290-1018 1
 
1.4%
052-290-7535 1
 
1.4%
052-290-7032 1
 
1.4%
052-245-5217 1
 
1.4%
070-4496-3539 1
 
1.4%
052-290-6695 1
 
1.4%
052-290-5888 1
 
1.4%
052-248-4035 1
 
1.4%
Other values (60) 60
85.7%
2023-12-12T23:09:02.435596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 151
17.7%
0 147
17.2%
- 140
16.4%
5 97
11.4%
9 49
 
5.7%
1 48
 
5.6%
7 47
 
5.5%
4 47
 
5.5%
3 43
 
5.0%
6 38
 
4.4%
Other values (2) 47
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 704
82.4%
Dash Punctuation 140
 
16.4%
Space Separator 10
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 151
21.4%
0 147
20.9%
5 97
13.8%
9 49
 
7.0%
1 48
 
6.8%
7 47
 
6.7%
4 47
 
6.7%
3 43
 
6.1%
6 38
 
5.4%
8 37
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 854
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 151
17.7%
0 147
17.2%
- 140
16.4%
5 97
11.4%
9 49
 
5.7%
1 48
 
5.6%
7 47
 
5.5%
4 47
 
5.5%
3 43
 
5.0%
6 38
 
4.4%
Other values (2) 47
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 854
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 151
17.7%
0 147
17.2%
- 140
16.4%
5 97
11.4%
9 49
 
5.7%
1 48
 
5.6%
7 47
 
5.5%
4 47
 
5.5%
3 43
 
5.0%
6 38
 
4.4%
Other values (2) 47
 
5.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size692.0 B
2021-09-16
70 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-09-16
2nd row2021-09-16
3rd row2021-09-16
4th row2021-09-16
5th row2021-09-16

Common Values

ValueCountFrequency (%)
2021-09-16 70
100.0%

Length

2023-12-12T23:09:02.587463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:09:02.689997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-09-16 70
100.0%

Interactions

2023-12-12T23:08:59.185295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:09:02.762201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분사업장명업소소재지전화번호
연번1.0000.5131.0001.0001.000
구분0.5131.0001.0001.0001.000
사업장명1.0001.0001.0001.0001.000
업소소재지1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
2023-12-12T23:09:02.855638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.369
구분0.3691.000

Missing values

2023-12-12T23:08:59.299092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:08:59.405402image/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

연번구분사업장명업소소재지전화번호데이터기준일자
01집단급식소국립재난안전연구원울산광역시 중구 종가로 365052-928-80962021-09-16
12집단급식소한국에너지공단울산광역시 중구 종가로 323052-920-01452021-09-16
23집단급식소울산테크노파크울산광역시 중구 다전로 385052-219-85982021-09-16
34집단급식소울산광역시교육청울산광역시 중구 북부순환도로 375(유곡동)052-210-57922021-09-16
45집단급식소울산광역시중구청울산광역시 중구 단장골길 1(복산동)052-290-31662021-09-16
56집단급식소울산문화방송㈜울산광역시 중구 서원3길 65(학성동)052-290-11082021-09-16
67집단급식소울산지방경찰청울산광역시 중구 성안로112(성안동)052-210-22332021-09-16
78집단급식소근로복지공단울산광역시 중구 종가로 340052-704-79992021-09-16
89집단급식소한국동서발전울산광역시 중구 종가로 395(북정동)070-4324-36042021-09-16
910집단급식소한국산업안전보건공단울산광역시 중구 종가로 400,1층070-7537-37072021-09-16
연번구분사업장명업소소재지전화번호데이터기준일자
6061집단급식소태화초등학교울산광역시 중구 평동길 25(태화동)052-244-98382021-09-16
6162집단급식소평산초등학교울산광역시 중구 평산로 25(약사동)052-297-33672021-09-16
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