Overview

Dataset statistics

Number of variables12
Number of observations30
Missing cells15
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.1 KiB
Average record size in memory104.4 B

Variable types

Text5
Numeric4
Categorical3

Dataset

Description경기도 의정부시 관내 집단급식소 위탁급식 현황 데이터입니다. 업소명, 소재지도로명주소, 소재지지번주소, 업소전화번호, 아침급식인원, 점심급식인원, 저녁급식인원, 1일급식인원, 설립주체, 급식소종류, 위탁급식업소명, 운영형태 등의 항목으로 구성되어 있습니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15035188/fileData.do

Alerts

운영형태 has constant value ""Constant
점심급식인원 is highly overall correlated with 1일급식인원High correlation
저녁급식인원 is highly overall correlated with 1일급식인원High correlation
1일급식인원 is highly overall correlated with 점심급식인원 and 1 other fieldsHigh correlation
설립주체 is highly overall correlated with 급식소종류High correlation
급식소종류 is highly overall correlated with 설립주체High correlation
업소전화번호 has 15 (50.0%) missing valuesMissing
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
소재지(지번) has unique valuesUnique
위탁급식업소명 has unique valuesUnique
아침급식인원 has 17 (56.7%) zerosZeros
저녁급식인원 has 10 (33.3%) zerosZeros

Reproduction

Analysis started2023-12-12 19:29:43.362021
Analysis finished2023-12-12 19:29:45.905019
Duration2.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T04:29:46.085927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length13
Mean length9.5666667
Min length4

Characters and Unicode

Total characters287
Distinct characters112
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

Unique30 ?
Unique (%)100.0%

Sample

1st row(주)신세계 의정부점
2nd row(주)이마트 의정부점
3rd row노블레스요양원
4th row늘푸른 요양원
5th row롯데쇼핑(주)롯데마트장암점
ValueCountFrequency (%)
의정부점 3
 
6.5%
주식회사 3
 
6.5%
의정부 2
 
4.3%
케이티(의정부빌딩 1
 
2.2%
주)아카데미 1
 
2.2%
과학 1
 
2.2%
가톨릭대학교 1
 
2.2%
의정부성모병원 1
 
2.2%
명품요양원 1
 
2.2%
보명노인전문요양원 1
 
2.2%
Other values (31) 31
67.4%
2023-12-13T04:29:46.475993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 17
 
5.9%
16
 
5.6%
원 12
 
4.2%
의 12
 
4.2%
정 12
 
4.2%
양 9
 
3.1%
요 9
 
3.1%
주 7
 
2.4%
지 7
 
2.4%
( 6
 
2.1%
Other values (102) 180
62.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 259
90.2%
Space Separator 16
 
5.6%
Open Punctuation 6
 
2.1%
Close Punctuation 6
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 17
 
6.6%
원 12
 
4.6%
의 12
 
4.6%
정 12
 
4.6%
양 9
 
3.5%
요 9
 
3.5%
주 7
 
2.7%
지 7
 
2.7%
노 5
 
1.9%
식 4
 
1.5%
Other values (99) 165
63.7%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 259
90.2%
Common 28
 
9.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 17
 
6.6%
원 12
 
4.6%
의 12
 
4.6%
정 12
 
4.6%
양 9
 
3.5%
요 9
 
3.5%
주 7
 
2.7%
지 7
 
2.7%
노 5
 
1.9%
식 4
 
1.5%
Other values (99) 165
63.7%
Common
ValueCountFrequency (%)
16
57.1%
( 6
 
21.4%
) 6
 
21.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 259
90.2%
ASCII 28
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 17
 
6.6%
원 12
 
4.6%
의 12
 
4.6%
정 12
 
4.6%
양 9
 
3.5%
요 9
 
3.5%
주 7
 
2.7%
지 7
 
2.7%
노 5
 
1.9%
식 4
 
1.5%
Other values (99) 165
63.7%
ASCII
ValueCountFrequency (%)
16
57.1%
( 6
 
21.4%
) 6
 
21.4%

소재지(도로명)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T04:29:46.801197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36.5
Mean length33.666667
Min length21

Characters and Unicode

Total characters1010
Distinct characters119
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row경기도 의정부시 평화로 525 (의정부동, 신세계백화점 지상8층)
2nd row경기도 의정부시 민락로 210, 지하 1층 (민락동)
3rd row경기도 의정부시 송산로1181번길 107-6, 지하1층 (용현동)
4th row경기도 의정부시 오목로35번길 47-9, 지하1층 (용현동)
5th row경기도 의정부시 장곡로 224 (장암동, 롯데마트 지상4층)
ValueCountFrequency (%)
경기도 30
 
15.2%
의정부시 30
 
15.2%
용현동 7
 
3.5%
금오동 5
 
2.5%
지하1층 5
 
2.5%
민락동 4
 
2.0%
의정부동 4
 
2.0%
지상5층 3
 
1.5%
신곡동 3
 
1.5%
지상1층 3
 
1.5%
Other values (96) 104
52.5%
2023-12-13T04:29:47.247584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
168
 
16.6%
의 42
 
4.2%
부 42
 
4.2%
정 41
 
4.1%
1 35
 
3.5%
동 34
 
3.4%
기 31
 
3.1%
, 31
 
3.1%
경 31
 
3.1%
도 31
 
3.1%
Other values (109) 524
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 615
60.9%
Space Separator 168
 
16.6%
Decimal Number 132
 
13.1%
Other Punctuation 31
 
3.1%
Close Punctuation 30
 
3.0%
Open Punctuation 30
 
3.0%
Dash Punctuation 3
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 42
 
6.8%
부 42
 
6.8%
정 41
 
6.7%
동 34
 
5.5%
기 31
 
5.0%
경 31
 
5.0%
도 31
 
5.0%
시 30
 
4.9%
로 30
 
4.9%
층 29
 
4.7%
Other values (93) 274
44.6%
Decimal Number
ValueCountFrequency (%)
1 35
26.5%
2 16
12.1%
7 14
 
10.6%
4 12
 
9.1%
8 11
 
8.3%
5 10
 
7.6%
3 10
 
7.6%
9 9
 
6.8%
6 8
 
6.1%
0 7
 
5.3%
Space Separator
ValueCountFrequency (%)
168
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 615
60.9%
Common 394
39.0%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 42
 
6.8%
부 42
 
6.8%
정 41
 
6.7%
동 34
 
5.5%
기 31
 
5.0%
경 31
 
5.0%
도 31
 
5.0%
시 30
 
4.9%
로 30
 
4.9%
층 29
 
4.7%
Other values (93) 274
44.6%
Common
ValueCountFrequency (%)
168
42.6%
1 35
 
8.9%
, 31
 
7.9%
) 30
 
7.6%
( 30
 
7.6%
2 16
 
4.1%
7 14
 
3.6%
4 12
 
3.0%
8 11
 
2.8%
5 10
 
2.5%
Other values (5) 37
 
9.4%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 615
60.9%
ASCII 395
39.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
168
42.5%
1 35
 
8.9%
, 31
 
7.8%
) 30
 
7.6%
( 30
 
7.6%
2 16
 
4.1%
7 14
 
3.5%
4 12
 
3.0%
8 11
 
2.8%
5 10
 
2.5%
Other values (6) 38
 
9.6%
Hangul
ValueCountFrequency (%)
의 42
 
6.8%
부 42
 
6.8%
정 41
 
6.7%
동 34
 
5.5%
기 31
 
5.0%
경 31
 
5.0%
도 31
 
5.0%
시 30
 
4.9%
로 30
 
4.9%
층 29
 
4.7%
Other values (93) 274
44.6%

소재지(지번)
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T04:29:47.507511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length34
Mean length22.333333
Min length13

Characters and Unicode

Total characters670
Distinct characters99
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

Unique30 ?
Unique (%)100.0%

Sample

1st row의정부동 168 - 54
2nd row민락동 849 지하 1층
3rd row용현동 130 - 2 지하1층
4th row용현동 252 - 1
5th row장암동 38 - 10
ValueCountFrequency (%)
경기도 15
 
10.1%
의정부시 15
 
10.1%
11
 
7.4%
용현동 9
 
6.1%
금오동 5
 
3.4%
1 5
 
3.4%
의정부동 4
 
2.7%
민락동 4
 
2.7%
신곡동 3
 
2.0%
지상1층 3
 
2.0%
Other values (66) 74
50.0%
2023-12-13T04:29:47.932482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
22.8%
1 33
 
4.9%
동 31
 
4.6%
부 29
 
4.3%
의 25
 
3.7%
정 25
 
3.7%
- 21
 
3.1%
지 20
 
3.0%
기 17
 
2.5%
2 17
 
2.5%
Other values (89) 299
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
54.3%
Space Separator 153
22.8%
Decimal Number 128
 
19.1%
Dash Punctuation 21
 
3.1%
Other Punctuation 4
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 31
 
8.5%
부 29
 
8.0%
의 25
 
6.9%
정 25
 
6.9%
지 20
 
5.5%
기 17
 
4.7%
경 17
 
4.7%
도 16
 
4.4%
시 15
 
4.1%
층 13
 
3.6%
Other values (75) 156
42.9%
Decimal Number
ValueCountFrequency (%)
1 33
25.8%
2 17
13.3%
5 15
11.7%
4 11
 
8.6%
3 11
 
8.6%
6 10
 
7.8%
8 10
 
7.8%
0 8
 
6.2%
7 7
 
5.5%
9 6
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
54.3%
Common 306
45.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 31
 
8.5%
부 29
 
8.0%
의 25
 
6.9%
정 25
 
6.9%
지 20
 
5.5%
기 17
 
4.7%
경 17
 
4.7%
도 16
 
4.4%
시 15
 
4.1%
층 13
 
3.6%
Other values (75) 156
42.9%
Common
ValueCountFrequency (%)
153
50.0%
1 33
 
10.8%
- 21
 
6.9%
2 17
 
5.6%
5 15
 
4.9%
4 11
 
3.6%
3 11
 
3.6%
6 10
 
3.3%
8 10
 
3.3%
0 8
 
2.6%
Other values (4) 17
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
54.3%
ASCII 306
45.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
50.0%
1 33
 
10.8%
- 21
 
6.9%
2 17
 
5.6%
5 15
 
4.9%
4 11
 
3.6%
3 11
 
3.6%
6 10
 
3.3%
8 10
 
3.3%
0 8
 
2.6%
Other values (4) 17
 
5.6%
Hangul
ValueCountFrequency (%)
동 31
 
8.5%
부 29
 
8.0%
의 25
 
6.9%
정 25
 
6.9%
지 20
 
5.5%
기 17
 
4.7%
경 17
 
4.7%
도 16
 
4.4%
시 15
 
4.1%
층 13
 
3.6%
Other values (75) 156
42.9%

업소전화번호
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing15
Missing (%)50.0%
Memory size372.0 B
2023-12-13T04:29:48.130921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.733333
Min length12

Characters and Unicode

Total characters191
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

Unique15 ?
Unique (%)100.0%

Sample

1st row031-8082-1051
2nd row031-850-1226
3rd row031-878-9988
4th row031-849-2566
5th row031-870-3114
ValueCountFrequency (%)
031 4
 
17.4%
031-850-1226 1
 
4.3%
848 1
 
4.3%
8000 1
 
4.3%
875 1
 
4.3%
02-2630-2649 1
 
4.3%
9600 1
 
4.3%
843 1
 
4.3%
7713 1
 
4.3%
850 1
 
4.3%
Other values (10) 10
43.5%
2023-12-13T04:29:48.556394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35
18.3%
- 30
15.7%
1 23
12.0%
8 23
12.0%
3 19
9.9%
2 12
 
6.3%
5 11
 
5.8%
10
 
5.2%
6 8
 
4.2%
7 8
 
4.2%
Other values (2) 12
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 151
79.1%
Dash Punctuation 30
 
15.7%
Space Separator 10
 
5.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 35
23.2%
1 23
15.2%
8 23
15.2%
3 19
12.6%
2 12
 
7.9%
5 11
 
7.3%
6 8
 
5.3%
7 8
 
5.3%
4 7
 
4.6%
9 5
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 191
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 35
18.3%
- 30
15.7%
1 23
12.0%
8 23
12.0%
3 19
9.9%
2 12
 
6.3%
5 11
 
5.8%
10
 
5.2%
6 8
 
4.2%
7 8
 
4.2%
Other values (2) 12
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 191
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35
18.3%
- 30
15.7%
1 23
12.0%
8 23
12.0%
3 19
9.9%
2 12
 
6.3%
5 11
 
5.8%
10
 
5.2%
6 8
 
4.2%
7 8
 
4.2%
Other values (2) 12
 
6.3%

아침급식인원
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.9
Minimum0
Maximum600
Zeros17
Zeros (%)56.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T04:29:48.686758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q339.5
95-th percentile80
Maximum600
Range600
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation109.29471
Coefficient of variation (CV)2.8096327
Kurtosis26.14292
Mean38.9
Median Absolute Deviation (MAD)0
Skewness4.9750033
Sum1167
Variance11945.334
MonotonicityNot monotonic
2023-12-13T04:29:48.795146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 17
56.7%
80 2
 
6.7%
50 2
 
6.7%
55 1
 
3.3%
70 1
 
3.3%
10 1
 
3.3%
600 1
 
3.3%
41 1
 
3.3%
35 1
 
3.3%
30 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
0 17
56.7%
10 1
 
3.3%
30 1
 
3.3%
32 1
 
3.3%
34 1
 
3.3%
35 1
 
3.3%
41 1
 
3.3%
50 2
 
6.7%
55 1
 
3.3%
70 1
 
3.3%
ValueCountFrequency (%)
600 1
3.3%
80 2
6.7%
70 1
3.3%
55 1
3.3%
50 2
6.7%
41 1
3.3%
35 1
3.3%
34 1
3.3%
32 1
3.3%
30 1
3.3%

점심급식인원
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean193.5
Minimum42
Maximum1200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T04:29:48.916392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42
5-th percentile48.9
Q170
median80
Q3195
95-th percentile762.5
Maximum1200
Range1158
Interquartile range (IQR)125

Descriptive statistics

Standard deviation274.24979
Coefficient of variation (CV)1.4173116
Kurtosis9.4653547
Mean193.5
Median Absolute Deviation (MAD)30
Skewness3.1089261
Sum5805
Variance75212.948
MonotonicityNot monotonic
2023-12-13T04:29:49.068972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
80 5
16.7%
70 3
 
10.0%
50 2
 
6.7%
55 2
 
6.7%
200 2
 
6.7%
1200 1
 
3.3%
48 1
 
3.3%
75 1
 
3.3%
42 1
 
3.3%
100 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
42 1
 
3.3%
48 1
 
3.3%
50 2
 
6.7%
55 2
 
6.7%
60 1
 
3.3%
70 3
10.0%
75 1
 
3.3%
80 5
16.7%
100 1
 
3.3%
110 1
 
3.3%
ValueCountFrequency (%)
1200 1
3.3%
1100 1
3.3%
350 1
3.3%
330 1
3.3%
300 1
3.3%
250 1
3.3%
200 2
6.7%
180 1
3.3%
160 1
3.3%
150 1
3.3%

저녁급식인원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.6
Minimum0
Maximum700
Zeros10
Zeros (%)33.3%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T04:29:49.206181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median38
Q368.75
95-th percentile451.5
Maximum700
Range700
Interquartile range (IQR)68.75

Descriptive statistics

Standard deviation166.66953
Coefficient of variation (CV)1.8811459
Kurtosis8.24075
Mean88.6
Median Absolute Deviation (MAD)38
Skewness2.9033681
Sum2658
Variance27778.731
MonotonicityNot monotonic
2023-12-13T04:29:49.333297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 10
33.3%
50 4
 
13.3%
70 2
 
6.7%
270 1
 
3.3%
34 1
 
3.3%
80 1
 
3.3%
27 1
 
3.3%
35 1
 
3.3%
41 1
 
3.3%
600 1
 
3.3%
Other values (7) 7
23.3%
ValueCountFrequency (%)
0 10
33.3%
10 1
 
3.3%
21 1
 
3.3%
27 1
 
3.3%
34 1
 
3.3%
35 1
 
3.3%
41 1
 
3.3%
50 4
 
13.3%
55 1
 
3.3%
65 1
 
3.3%
ValueCountFrequency (%)
700 1
 
3.3%
600 1
 
3.3%
270 1
 
3.3%
250 1
 
3.3%
130 1
 
3.3%
80 1
 
3.3%
70 2
6.7%
65 1
 
3.3%
55 1
 
3.3%
50 4
13.3%

1일급식인원
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean325.63333
Minimum55
Maximum2400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-13T04:29:49.488717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile74.5
Q1119.5
median173
Q3247.5
95-th percentile1315
Maximum2400
Range2345
Interquartile range (IQR)128

Descriptive statistics

Standard deviation514.38168
Coefficient of variation (CV)1.5796346
Kurtosis11.629575
Mean325.63333
Median Absolute Deviation (MAD)65
Skewness3.4456732
Sum9769
Variance264588.52
MonotonicityNot monotonic
2023-12-13T04:29:49.641282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
130 2
 
6.7%
210 2
 
6.7%
180 2
 
6.7%
150 2
 
6.7%
80 1
 
3.3%
116 1
 
3.3%
240 1
 
3.3%
175 1
 
3.3%
101 1
 
3.3%
100 1
 
3.3%
Other values (16) 16
53.3%
ValueCountFrequency (%)
55 1
3.3%
70 1
3.3%
80 1
3.3%
91 1
3.3%
100 1
3.3%
101 1
3.3%
110 1
3.3%
116 1
3.3%
130 2
6.7%
140 1
3.3%
ValueCountFrequency (%)
2400 1
3.3%
1900 1
3.3%
600 1
3.3%
500 1
3.3%
350 1
3.3%
300 1
3.3%
290 1
3.3%
250 1
3.3%
240 1
3.3%
225 1
3.3%

설립주체
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
민영
26 
국영
4 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민영 26
86.7%
국영 4
 
13.3%

Length

2023-12-13T04:29:49.831049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:29:49.994608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민영 26
86.7%
국영 4
 
13.3%

급식소종류
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
산업체
12 
사회복지시설
8 
공공기관
5 
병원
4 
학교
 
1

Length

Max length6
Median length4
Mean length3.8
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
산업체 12
40.0%
사회복지시설 8
26.7%
공공기관 5
16.7%
병원 4
 
13.3%
학교 1
 
3.3%

Length

2023-12-13T04:29:50.172778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:29:50.340131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산업체 12
40.0%
사회복지시설 8
26.7%
공공기관 5
16.7%
병원 4
 
13.3%
학교 1
 
3.3%

위탁급식업소명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-13T04:29:50.600759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length13.5
Mean length11.6
Min length3

Characters and Unicode

Total characters348
Distinct characters142
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row(주)신세계푸드 백화점 의정부점
2nd row(주)엘에스씨푸드 이마트의정부
3rd row노블랑 푸드
4th rowG플러스 푸드
5th row이조케터링서비스(주) 롯데마트장암점
ValueCountFrequency (%)
의정부점 2
 
3.5%
푸드 2
 
3.5%
주)신세계푸드 1
 
1.8%
반푸드 1
 
1.8%
㈜두원엠에프 1
 
1.8%
고용노동부점 1
 
1.8%
㈜아카데미과학 1
 
1.8%
주)미셀푸드 1
 
1.8%
의정부성모병원 1
 
1.8%
급식점 1
 
1.8%
Other values (45) 45
78.9%
2023-12-13T04:29:51.113173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
27
 
7.8%
주 14
 
4.0%
( 13
 
3.7%
) 13
 
3.7%
부 12
 
3.4%
점 11
 
3.2%
드 10
 
2.9%
스 10
 
2.9%
의 10
 
2.9%
정 10
 
2.9%
Other values (132) 218
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
80.7%
Space Separator 27
 
7.8%
Open Punctuation 13
 
3.7%
Close Punctuation 13
 
3.7%
Uppercase Letter 6
 
1.7%
Lowercase Letter 5
 
1.4%
Other Symbol 2
 
0.6%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 14
 
5.0%
부 12
 
4.3%
점 11
 
3.9%
드 10
 
3.6%
스 10
 
3.6%
의 10
 
3.6%
정 10
 
3.6%
이 10
 
3.6%
푸 9
 
3.2%
에 7
 
2.5%
Other values (117) 178
63.3%
Uppercase Letter
ValueCountFrequency (%)
J 1
16.7%
C 1
16.7%
F 1
16.7%
T 1
16.7%
G 1
16.7%
S 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
b 2
40.0%
o 1
20.0%
h 1
20.0%
e 1
20.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 283
81.3%
Common 54
 
15.5%
Latin 11
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 14
 
4.9%
부 12
 
4.2%
점 11
 
3.9%
드 10
 
3.5%
스 10
 
3.5%
의 10
 
3.5%
정 10
 
3.5%
이 10
 
3.5%
푸 9
 
3.2%
에 7
 
2.5%
Other values (118) 180
63.6%
Latin
ValueCountFrequency (%)
b 2
18.2%
J 1
9.1%
C 1
9.1%
F 1
9.1%
o 1
9.1%
h 1
9.1%
T 1
9.1%
G 1
9.1%
e 1
9.1%
S 1
9.1%
Common
ValueCountFrequency (%)
27
50.0%
( 13
24.1%
) 13
24.1%
2 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
80.7%
ASCII 65
 
18.7%
None 2
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
27
41.5%
( 13
20.0%
) 13
20.0%
b 2
 
3.1%
J 1
 
1.5%
C 1
 
1.5%
F 1
 
1.5%
2 1
 
1.5%
o 1
 
1.5%
h 1
 
1.5%
Other values (4) 4
 
6.2%
Hangul
ValueCountFrequency (%)
주 14
 
5.0%
부 12
 
4.3%
점 11
 
3.9%
드 10
 
3.6%
스 10
 
3.6%
의 10
 
3.6%
정 10
 
3.6%
이 10
 
3.6%
푸 9
 
3.2%
에 7
 
2.5%
Other values (117) 178
63.3%
None
ValueCountFrequency (%)
㈜ 2
100.0%

운영형태
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
위탁
30 

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 (%)
위탁 30
100.0%

Length

2023-12-13T04:29:51.291893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:29:51.398159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
위탁 30
100.0%

Interactions

2023-12-13T04:29:45.201324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:43.963768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:44.383382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:44.783507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:45.288874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:44.065197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:44.485462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:44.877185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:45.393761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:44.167161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:44.588553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:44.977651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:45.515446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:44.272831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:44.693140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:29:45.090639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:29:51.481286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업소명소재지(도로명)소재지(지번)업소전화번호아침급식인원점심급식인원저녁급식인원1일급식인원설립주체급식소종류위탁급식업소명
업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업소전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
아침급식인원1.0001.0001.0001.0001.0000.4370.7580.6860.0000.4541.000
점심급식인원1.0001.0001.0001.0000.4371.0000.6350.7830.0000.3891.000
저녁급식인원1.0001.0001.0001.0000.7580.6351.0000.9760.0000.0001.000
1일급식인원1.0001.0001.0001.0000.6860.7830.9761.0000.0000.4591.000
설립주체1.0001.0001.0001.0000.0000.0000.0000.0001.0000.7221.000
급식소종류1.0001.0001.0001.0000.4540.3890.0000.4590.7221.0001.000
위탁급식업소명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T04:29:51.644818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설립주체급식소종류
설립주체1.0000.809
급식소종류0.8091.000
2023-12-13T04:29:51.750848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
아침급식인원점심급식인원저녁급식인원1일급식인원설립주체급식소종류
아침급식인원1.000-0.4250.4370.1590.0000.365
점심급식인원-0.4251.0000.1420.7120.0000.313
저녁급식인원0.4370.1421.0000.6210.0000.000
1일급식인원0.1590.7120.6211.0000.0000.171
설립주체0.0000.0000.0000.0001.0000.809
급식소종류0.3650.3130.0000.1710.8091.000

Missing values

2023-12-13T04:29:45.646557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:29:45.824124image/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)소재지(지번)업소전화번호아침급식인원점심급식인원저녁급식인원1일급식인원설립주체급식소종류위탁급식업소명운영형태
0(주)신세계 의정부점경기도 의정부시 평화로 525 (의정부동, 신세계백화점 지상8층)의정부동 168 - 54031-8082-1051012007001900민영산업체(주)신세계푸드 백화점 의정부점위탁
1(주)이마트 의정부점경기도 의정부시 민락로 210, 지하 1층 (민락동)민락동 849 지하 1층031-850-12260250250500민영산업체(주)엘에스씨푸드 이마트의정부위탁
2노블레스요양원경기도 의정부시 송산로1181번길 107-6, 지하1층 (용현동)용현동 130 - 2 지하1층031-878-9988555555165민영사회복지시설노블랑 푸드위탁
3늘푸른 요양원경기도 의정부시 오목로35번길 47-9, 지하1층 (용현동)용현동 252 - 1<NA>707070210민영사회복지시설G플러스 푸드위탁
4롯데쇼핑(주)롯데마트장암점경기도 의정부시 장곡로 224 (장암동, 롯데마트 지상4층)장암동 38 - 10031-849-25660160130290민영산업체이조케터링서비스(주) 롯데마트장암점위탁
5신한대학교경기도 의정부시 호암로 95, 6층 (호원동, 신한대학교 에벤에셀관)호원동 117 - 1 신한대학교 에벤에셀관 지상6층031-870-311403000300민영학교더밥(The bob)위탁
6이노시스 주식회사경기도 의정부시 산단로76번길 20 (용현동,지상2층)용현동 529 - 1 지상2층031-852-01020702191민영산업체(주)네이처푸드컴퍼니 이노시스점위탁
7의정부세무서경기도 의정부시 의정로 77, 의정부세무서 지상1층 (의정부동)경기도 의정부시 의정부동 350 의정부세무서, 지상1층031-874-342801800180국영공공기관삼주외식산업(주)위탁
8의정부우체국경기도 의정부시 추동로 88, 의정부우체국 지상5층 (신곡동)신곡동 811 의정부우체국<NA>055055국영공공기관(주)웰스프레쉬 의정부지점위탁
9의정부지방법원경기도 의정부시 녹양로34번길 23 (가능동,지하1층)가능동 364 지하1층031-828-0170013010140국영공공기관(주)지에스씨푸드 의정부 지방법원점위탁
업소명소재지(도로명)소재지(지번)업소전화번호아침급식인원점심급식인원저녁급식인원1일급식인원설립주체급식소종류위탁급식업소명운영형태
20보명노인전문요양원경기도 의정부시 능곡로26번길 49, 지상5층 (신곡동)경기도 의정부시 신곡동 486-3 지상5층<NA>415041171민영사회복지시설브이푸드위탁
21의정부 을지대학교병원경기도 의정부시 동일로 712, 의정부을지대학교병원 지하2층 (금오동)경기도 의정부시 금오동 439-38 의정부을지대학교병원, 지하2층<NA>03500350민영병원CJ프레시웨이 을지병원 의정부점위탁
22주식회사 케이티(의정부빌딩)경기도 의정부시 신흥로 174, 지상2층 (의정부동)경기도 의정부시 의정부동 587 지상2층<NA>01500150민영산업체반푸드위탁
23의정부 쾌척한방병원경기도 의정부시 천보로 44, 지상 3층 (민락동)경기도 의정부시 민락동 804-6<NA>356035130민영병원(주)씨제이프레시웨이 의정부쾌척한방병원위탁
24재단법인 경기도일자리재단 여성능력개발본부(북부)경기도 의정부시 범골로 137, 경기도일자리재단 여성능력개발본부 지상3층 (의정부동)경기도 의정부시 의정부동 510 경기도일자리재단 여성능력개발본부<NA>01000100민영공공기관진주랑 여성능력개발본부위탁
25코스트코코리아 의정부점경기도 의정부시 용민로489번길 9, 코스트코 홀세일 의정부점 지상1층 (민락동)경기도 의정부시 민락동 903 코스트코 홀세일 의정부점02-2630-2649308070180민영산업체아라마크(주)코스트코(의정부)2위탁
26튼튼요양원경기도 의정부시 용민로 198, 월드본타워 7층 701호 (민락동)경기도 의정부시 민락동 806<NA>324227101민영병원유한회사 이루다위탁
27가능요양복지센터경기도 의정부시 녹양로 16 (가능동,지상4층)경기도 의정부시 가능동 353-1 지상4층031 -875 -8000507550175민영사회복지시설가능요양복지센터위탁
28금오요양원경기도 의정부시 금오로 8, 5층 (금오동)경기도 의정부시 금오동 444-1 외1필지031 -848 -6050808080240민영사회복지시설동두천 포천 티엠에스위탁
29예마루요양원경기도 의정부시 발곡로 10, 백상프라자빌딩 지상5층 (신곡동)경기도 의정부시 신곡동 719-2 백상프라자빌딩<NA>344834116민영사회복지시설위드FS위탁