Overview

Dataset statistics

Number of variables9
Number of observations208
Missing cells188
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.0 KiB
Average record size in memory73.6 B

Variable types

Categorical3
Text5
Numeric1

Dataset

Description도봉구에 위치하고 있는 집단급식소 현황 데이터(시설명, 종류, 평균급식인원수등)
Author서울특별시 도봉구
URLhttps://www.data.go.kr/data/15028128/fileData.do

Alerts

업종명 has constant value ""Constant
급식소종류 is highly overall correlated with 운영형태High correlation
운영형태 is highly overall correlated with 급식소종류High correlation
소재지전화 has 7 (3.4%) missing valuesMissing
위탁급식업소 has 181 (87.0%) missing valuesMissing
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:44:59.667529
Analysis finished2023-12-12 16:45:00.590024
Duration0.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
집단급식소
208 

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 208
100.0%

Length

2023-12-13T01:45:00.664093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:45:00.773073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 208
100.0%

업소명
Text

UNIQUE 

Distinct208
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T01:45:01.055718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length7.5673077
Min length4

Characters and Unicode

Total characters1574
Distinct characters226
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)100.0%

Sample

1st row(주)인터엠
2nd row국립공원관리공단(북한산생태탐방원)
3rd row국민은행 신도봉지점
4th row기아자동차(주)도봉서비스센터
5th row노원세무서
ValueCountFrequency (%)
어린이집 5
 
2.3%
주)인터엠 1
 
0.5%
아이뜰어린이집 1
 
0.5%
윤정아이씨티움 1
 
0.5%
에이치큐브병원 1
 
0.5%
쌍문1동어린이집 1
 
0.5%
쌍문2동소라어린이집 1
 
0.5%
쌍문2동어린이집 1
 
0.5%
쌍문3동어린이집 1
 
0.5%
쌍문동노인복지센터 1
 
0.5%
Other values (208) 208
93.7%
2023-12-13T01:45:01.504353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 91
 
5.8%
어 84
 
5.3%
린 82
 
5.2%
집 81
 
5.1%
학 64
 
4.1%
원 57
 
3.6%
교 53
 
3.4%
서 42
 
2.7%
울 35
 
2.2%
등 33
 
2.1%
Other values (216) 952
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1518
96.4%
Decimal Number 16
 
1.0%
Space Separator 14
 
0.9%
Close Punctuation 13
 
0.8%
Open Punctuation 12
 
0.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 91
 
6.0%
어 84
 
5.5%
린 82
 
5.4%
집 81
 
5.3%
학 64
 
4.2%
원 57
 
3.8%
교 53
 
3.5%
서 42
 
2.8%
울 35
 
2.3%
등 33
 
2.2%
Other values (207) 896
59.0%
Decimal Number
ValueCountFrequency (%)
2 6
37.5%
3 3
18.8%
1 3
18.8%
5 2
 
12.5%
4 2
 
12.5%
Space Separator
ValueCountFrequency (%)
14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1518
96.4%
Common 56
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 91
 
6.0%
어 84
 
5.5%
린 82
 
5.4%
집 81
 
5.3%
학 64
 
4.2%
원 57
 
3.8%
교 53
 
3.5%
서 42
 
2.8%
울 35
 
2.3%
등 33
 
2.2%
Other values (207) 896
59.0%
Common
ValueCountFrequency (%)
14
25.0%
) 13
23.2%
( 12
21.4%
2 6
10.7%
3 3
 
5.4%
1 3
 
5.4%
5 2
 
3.6%
4 2
 
3.6%
, 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1518
96.4%
ASCII 56
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 91
 
6.0%
어 84
 
5.5%
린 82
 
5.4%
집 81
 
5.3%
학 64
 
4.2%
원 57
 
3.8%
교 53
 
3.5%
서 42
 
2.8%
울 35
 
2.3%
등 33
 
2.2%
Other values (207) 896
59.0%
ASCII
ValueCountFrequency (%)
14
25.0%
) 13
23.2%
( 12
21.4%
2 6
10.7%
3 3
 
5.4%
1 3
 
5.4%
5 2
 
3.6%
4 2
 
3.6%
, 1
 
1.8%

영업자
Text

Distinct205
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T01:45:01.806648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length4.4182692
Min length2

Characters and Unicode

Total characters919
Distinct characters168
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

Unique202 ?
Unique (%)97.1%

Sample

1st row김주봉
2nd row노윤경
3rd row진형철
4th row이형근 외 1명
5th row김성준
ValueCountFrequency (%)
이민숙 2
 
0.9%
지은희 2
 
0.9%
김영희 2
 
0.9%
외 2
 
0.9%
1명 2
 
0.9%
이태호 1
 
0.5%
이지영 1
 
0.5%
김주봉 1
 
0.5%
김병연 1
 
0.5%
임숙이 1
 
0.5%
Other values (197) 197
92.9%
2023-12-13T01:45:02.320033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 53
 
5.8%
학 53
 
5.8%
교 48
 
5.2%
등 33
 
3.6%
서 32
 
3.5%
이 31
 
3.4%
울 29
 
3.2%
김 27
 
2.9%
초 24
 
2.6%
영 21
 
2.3%
Other values (158) 568
61.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 911
99.1%
Space Separator 4
 
0.4%
Decimal Number 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 53
 
5.8%
학 53
 
5.8%
교 48
 
5.3%
등 33
 
3.6%
서 32
 
3.5%
이 31
 
3.4%
울 29
 
3.2%
김 27
 
3.0%
초 24
 
2.6%
영 21
 
2.3%
Other values (154) 560
61.5%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 911
99.1%
Common 8
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 53
 
5.8%
학 53
 
5.8%
교 48
 
5.3%
등 33
 
3.6%
서 32
 
3.5%
이 31
 
3.4%
울 29
 
3.2%
김 27
 
3.0%
초 24
 
2.6%
영 21
 
2.3%
Other values (154) 560
61.5%
Common
ValueCountFrequency (%)
4
50.0%
1 2
25.0%
) 1
 
12.5%
( 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 911
99.1%
ASCII 8
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 53
 
5.8%
학 53
 
5.8%
교 48
 
5.3%
등 33
 
3.6%
서 32
 
3.5%
이 31
 
3.4%
울 29
 
3.2%
김 27
 
3.0%
초 24
 
2.6%
영 21
 
2.3%
Other values (154) 560
61.5%
ASCII
ValueCountFrequency (%)
4
50.0%
1 2
25.0%
) 1
 
12.5%
( 1
 
12.5%

소재지(도로명)
Text

Distinct199
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T01:45:02.643557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length28.326923
Min length22

Characters and Unicode

Total characters5892
Distinct characters158
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

Unique193 ?
Unique (%)92.8%

Sample

1st row서울특별시 도봉구 도봉로 719, 인터엠빌딩 (방학동)
2nd row서울특별시 도봉구 도봉산길 86 (도봉동)
3rd row서울특별시 도봉구 마들로 650 (방학동)
4th row서울특별시 도봉구 도봉로180나길 48 (도봉동)
5th row서울특별시 도봉구 노해로69길 14, 지하1층 (창동)
ValueCountFrequency (%)
서울특별시 208
18.5%
도봉구 208
18.5%
창동 55
 
4.9%
쌍문동 50
 
4.4%
방학동 43
 
3.8%
도봉동 32
 
2.8%
마들로 21
 
1.9%
도봉로 13
 
1.2%
시루봉로 11
 
1.0%
지하1층 10
 
0.9%
Other values (334) 475
42.2%
2023-12-13T01:45:03.115369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
918
 
15.6%
봉 320
 
5.4%
도 310
 
5.3%
시 229
 
3.9%
) 225
 
3.8%
( 225
 
3.8%
동 217
 
3.7%
구 212
 
3.6%
서 212
 
3.6%
울 212
 
3.6%
Other values (148) 2812
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3514
59.6%
Space Separator 918
 
15.6%
Decimal Number 878
 
14.9%
Close Punctuation 225
 
3.8%
Open Punctuation 225
 
3.8%
Other Punctuation 89
 
1.5%
Dash Punctuation 43
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
봉 320
 
9.1%
도 310
 
8.8%
시 229
 
6.5%
동 217
 
6.2%
구 212
 
6.0%
서 212
 
6.0%
울 212
 
6.0%
별 208
 
5.9%
특 208
 
5.9%
로 204
 
5.8%
Other values (132) 1182
33.6%
Decimal Number
ValueCountFrequency (%)
1 186
21.2%
6 113
12.9%
3 103
11.7%
2 96
10.9%
4 79
9.0%
5 78
8.9%
9 63
 
7.2%
0 60
 
6.8%
7 56
 
6.4%
8 44
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 88
98.9%
. 1
 
1.1%
Space Separator
ValueCountFrequency (%)
918
100.0%
Close Punctuation
ValueCountFrequency (%)
) 225
100.0%
Open Punctuation
ValueCountFrequency (%)
( 225
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3514
59.6%
Common 2378
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
봉 320
 
9.1%
도 310
 
8.8%
시 229
 
6.5%
동 217
 
6.2%
구 212
 
6.0%
서 212
 
6.0%
울 212
 
6.0%
별 208
 
5.9%
특 208
 
5.9%
로 204
 
5.8%
Other values (132) 1182
33.6%
Common
ValueCountFrequency (%)
918
38.6%
) 225
 
9.5%
( 225
 
9.5%
1 186
 
7.8%
6 113
 
4.8%
3 103
 
4.3%
2 96
 
4.0%
, 88
 
3.7%
4 79
 
3.3%
5 78
 
3.3%
Other values (6) 267
 
11.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3514
59.6%
ASCII 2378
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
918
38.6%
) 225
 
9.5%
( 225
 
9.5%
1 186
 
7.8%
6 113
 
4.8%
3 103
 
4.3%
2 96
 
4.0%
, 88
 
3.7%
4 79
 
3.3%
5 78
 
3.3%
Other values (6) 267
 
11.2%
Hangul
ValueCountFrequency (%)
봉 320
 
9.1%
도 310
 
8.8%
시 229
 
6.5%
동 217
 
6.2%
구 212
 
6.0%
서 212
 
6.0%
울 212
 
6.0%
별 208
 
5.9%
특 208
 
5.9%
로 204
 
5.8%
Other values (132) 1182
33.6%

소재지전화
Text

MISSING 

Distinct199
Distinct (%)99.0%
Missing7
Missing (%)3.4%
Memory size1.8 KiB
2023-12-13T01:45:03.393331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.353234
Min length11

Characters and Unicode

Total characters2282
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

Unique197 ?
Unique (%)98.0%

Sample

1st row02-2289-8053
2nd row02-955-5990
3rd row02-2289-5095
4th row02-3499-0696
5th row02-3492-7595
ValueCountFrequency (%)
02-3499-4832 2
 
1.0%
02-907-3811 2
 
1.0%
02-904-6248 1
 
0.5%
02-993-9900 1
 
0.5%
02-904-3222 1
 
0.5%
02-905-0143 1
 
0.5%
02-2289-8053 1
 
0.5%
02-900-2000 1
 
0.5%
02-904-6100 1
 
0.5%
02-902-6966 1
 
0.5%
Other values (189) 189
94.0%
2023-12-13T01:45:03.883368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 402
17.6%
0 400
17.5%
9 324
14.2%
2 319
14.0%
3 158
 
6.9%
4 142
 
6.2%
5 135
 
5.9%
6 111
 
4.9%
1 107
 
4.7%
7 99
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1880
82.4%
Dash Punctuation 402
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 400
21.3%
9 324
17.2%
2 319
17.0%
3 158
 
8.4%
4 142
 
7.6%
5 135
 
7.2%
6 111
 
5.9%
1 107
 
5.7%
7 99
 
5.3%
8 85
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2282
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 402
17.6%
0 400
17.5%
9 324
14.2%
2 319
14.0%
3 158
 
6.9%
4 142
 
6.2%
5 135
 
5.9%
6 111
 
4.9%
1 107
 
4.7%
7 99
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2282
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 402
17.6%
0 400
17.5%
9 324
14.2%
2 319
14.0%
3 158
 
6.9%
4 142
 
6.2%
5 135
 
5.9%
6 111
 
4.9%
1 107
 
4.7%
7 99
 
4.3%

급식소종류
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
어린이집
80 
학교
48 
유치원
21 
병원
18 
사회복지시설
15 
Other values (4)
26 

Length

Max length7
Median length6
Mean length3.3269231
Min length2

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row산업체
2nd row공공기관
3rd row산업체
4th row산업체
5th row공공기관

Common Values

ValueCountFrequency (%)
어린이집 80
38.5%
학교 48
23.1%
유치원 21
 
10.1%
병원 18
 
8.7%
사회복지시설 15
 
7.2%
산업체 14
 
6.7%
공공기관 8
 
3.8%
기타 3
 
1.4%
청소년수련시설 1
 
0.5%

Length

2023-12-13T01:45:04.094374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:45:04.255469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
어린이집 80
38.5%
학교 48
23.1%
유치원 21
 
10.1%
병원 18
 
8.7%
사회복지시설 15
 
7.2%
산업체 14
 
6.7%
공공기관 8
 
3.8%
기타 3
 
1.4%
청소년수련시설 1
 
0.5%

1일급식인원수
Real number (ℝ)

Distinct123
Distinct (%)59.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean370.80769
Minimum50
Maximum2750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T01:45:04.445412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile52.35
Q180
median130
Q3406.75
95-th percentile1500
Maximum2750
Range2700
Interquartile range (IQR)326.75

Descriptive statistics

Standard deviation495.90405
Coefficient of variation (CV)1.3373618
Kurtosis4.5449632
Mean370.80769
Median Absolute Deviation (MAD)69
Skewness2.1430134
Sum77128
Variance245920.82
MonotonicityNot monotonic
2023-12-13T01:45:04.624913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90 9
 
4.3%
80 7
 
3.4%
65 6
 
2.9%
120 6
 
2.9%
50 5
 
2.4%
400 4
 
1.9%
88 4
 
1.9%
210 4
 
1.9%
150 4
 
1.9%
89 3
 
1.4%
Other values (113) 156
75.0%
ValueCountFrequency (%)
50 5
2.4%
51 3
1.4%
52 3
1.4%
53 1
 
0.5%
55 3
1.4%
56 1
 
0.5%
59 2
 
1.0%
60 3
1.4%
61 2
 
1.0%
62 1
 
0.5%
ValueCountFrequency (%)
2750 1
 
0.5%
2400 1
 
0.5%
1988 1
 
0.5%
1960 1
 
0.5%
1753 1
 
0.5%
1750 1
 
0.5%
1723 1
 
0.5%
1680 1
 
0.5%
1600 1
 
0.5%
1500 3
1.4%

운영형태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
직영
181 
위탁
27 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직영 181
87.0%
위탁 27
 
13.0%

Length

2023-12-13T01:45:04.790222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:45:04.910879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직영 181
87.0%
위탁 27
 
13.0%

위탁급식업소
Text

MISSING 

Distinct22
Distinct (%)81.5%
Missing181
Missing (%)87.0%
Memory size1.8 KiB
2023-12-13T01:45:05.118153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.4074074
Min length4

Characters and Unicode

Total characters173
Distinct characters67
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)66.7%

Sample

1st row㈜인터엠
2nd row북한산생태탐방연수원
3rd row㈜황우산업
4th row㈜현대그린푸드
5th row㈜엘에스씨푸드
ValueCountFrequency (%)
㈜엘에스씨푸드 3
 
11.1%
㈜정오아카데미 2
 
7.4%
㈜제이제이케더링 2
 
7.4%
니서푸드 2
 
7.4%
㈜인터엠 1
 
3.7%
㈜아워홈 1
 
3.7%
㈜현대푸드시스템 1
 
3.7%
㈜사랑과선행 1
 
3.7%
㈜대양에프에스 1
 
3.7%
㈜참푸드시스템 1
 
3.7%
Other values (12) 12
44.4%
2023-12-13T01:45:05.517973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 23
 
13.3%
푸 11
 
6.4%
드 11
 
6.4%
스 9
 
5.2%
에 7
 
4.0%
링 5
 
2.9%
케 5
 
2.9%
이 5
 
2.9%
제 4
 
2.3%
씨 4
 
2.3%
Other values (57) 89
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
86.7%
Other Symbol 23
 
13.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
푸 11
 
7.3%
드 11
 
7.3%
스 9
 
6.0%
에 7
 
4.7%
링 5
 
3.3%
케 5
 
3.3%
이 5
 
3.3%
제 4
 
2.7%
씨 4
 
2.7%
서 4
 
2.7%
Other values (56) 85
56.7%
Other Symbol
ValueCountFrequency (%)
㈜ 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 173
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 23
 
13.3%
푸 11
 
6.4%
드 11
 
6.4%
스 9
 
5.2%
에 7
 
4.0%
링 5
 
2.9%
케 5
 
2.9%
이 5
 
2.9%
제 4
 
2.3%
씨 4
 
2.3%
Other values (57) 89
51.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
86.7%
None 23
 
13.3%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 23
100.0%
Hangul
ValueCountFrequency (%)
푸 11
 
7.3%
드 11
 
7.3%
스 9
 
6.0%
에 7
 
4.7%
링 5
 
3.3%
케 5
 
3.3%
이 5
 
3.3%
제 4
 
2.7%
씨 4
 
2.7%
서 4
 
2.7%
Other values (56) 85
56.7%

Interactions

2023-12-13T01:45:00.141723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:45:05.985745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식소종류1일급식인원수운영형태위탁급식업소
급식소종류1.0000.5910.6530.000
1일급식인원수0.5911.0000.3920.785
운영형태0.6530.3921.000NaN
위탁급식업소0.0000.785NaN1.000
2023-12-13T01:45:06.108521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급식소종류운영형태
급식소종류1.0000.649
운영형태0.6491.000
2023-12-13T01:45:06.221334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1일급식인원수급식소종류운영형태
1일급식인원수1.0000.3160.295
급식소종류0.3161.0000.649
운영형태0.2950.6491.000

Missing values

2023-12-13T01:45:00.254835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:45:00.404411image/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.
2023-12-13T01:45:00.519746image/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

업종명업소명영업자소재지(도로명)소재지전화급식소종류1일급식인원수운영형태위탁급식업소
0집단급식소(주)인터엠김주봉서울특별시 도봉구 도봉로 719, 인터엠빌딩 (방학동)02-2289-8053산업체260위탁㈜인터엠
1집단급식소국립공원관리공단(북한산생태탐방원)노윤경서울특별시 도봉구 도봉산길 86 (도봉동)02-955-5990공공기관168위탁북한산생태탐방연수원
2집단급식소국민은행 신도봉지점진형철서울특별시 도봉구 마들로 650 (방학동)<NA>산업체50위탁㈜황우산업
3집단급식소기아자동차(주)도봉서비스센터이형근 외 1명서울특별시 도봉구 도봉로180나길 48 (도봉동)02-2289-5095산업체90위탁㈜현대그린푸드
4집단급식소노원세무서김성준서울특별시 도봉구 노해로69길 14, 지하1층 (창동)02-3499-0696공공기관150위탁㈜엘에스씨푸드
5집단급식소누원고등학교누원고등학교장서울특별시 도봉구 마들로 849 (도봉동)02-3492-7595학교720위탁㈜가람푸드서비스
6집단급식소덕성여대구내식당지은희서울특별시 도봉구 삼양로144길 33 (쌍문동)02-992-7691학교600위탁㈜정오아카데미
7집단급식소덕성여자대학교 언어교육원지은희서울특별시 도봉구 삼양로144길 33 (쌍문동,덕성여자대학교 언어교육원 (지하1층))02-996-7691학교285위탁㈜정오아카데미
8집단급식소도봉구청도봉구청장서울특별시 도봉구 마들로 656 (방학동)02-3494-4226공공기관638위탁㈜엘에스씨푸드
9집단급식소도봉숲속마을박영년서울특별시 도봉구 도봉산길 54-14 (도봉동,도봉숲속마을 (지하1층))02-954-0203청소년수련시설300위탁㈜제이제이케더링
업종명업소명영업자소재지(도로명)소재지전화급식소종류1일급식인원수운영형태위탁급식업소
198집단급식소한신초등학교한신초등학교장서울특별시 도봉구 노해로49길 69 (쌍문동)02-901-7516학교707직영<NA>
199집단급식소한우리예체능 어린이집이은예서울특별시 도봉구 우이천로4나길 6-4 (창동)02-900-6275어린이집80직영<NA>
200집단급식소한일어린이집김성규서울특별시 도봉구 방학로 57-17 (방학동)02-3491-4455어린이집80직영<NA>
201집단급식소해맑은예체능어린이집최정순서울특별시 도봉구 우이천로 487-1 (쌍문동)02-996-5311어린이집120직영<NA>
202집단급식소햇살마루어린이집길미애서울특별시 도봉구 도당로2길 23, 지상1층 (쌍문동)02-903-0073어린이집65직영<NA>
203집단급식소햇살유치원이미선서울특별시 도봉구 우이천로32길 38 (쌍문동)02-904-6248유치원65직영<NA>
204집단급식소행복한어린이집박은숙서울특별시 도봉구 덕릉로59자길 15 (창동)02-990-5792어린이집68직영<NA>
205집단급식소행복한유치원이계화서울특별시 도봉구 해등로 242-18 (쌍문동)02-900-8001유치원50직영<NA>
206집단급식소효문고등학교효문고등학교장서울특별시 도봉구 우이천로 432 (쌍문동,(지상1층))070-4022-3618학교250직영<NA>
207집단급식소효문중학교효문중학교장서울특별시 도봉구 우이천로 432 (쌍문동,(지상1층))070-4377-4557학교300직영<NA>