Overview

Dataset statistics

Number of variables13
Number of observations2745
Missing cells7494
Missing cells (%)21.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory295.0 KiB
Average record size in memory110.0 B

Variable types

Categorical2
Text5
Numeric6

Dataset

Description경기도_집단급식소 위탁운영 현황
Author광명시
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=QTB6WZNGUQ2ISKW9TJKG28908557&infSeq=1

Alerts

시군명 is highly overall correlated with 데이터기준일자High correlation
데이터기준일자 is highly overall correlated with 시군명High correlation
1일급식인원 is highly overall correlated with 급식인원(점심)High correlation
급식인원(아침) is highly overall correlated with 급식인원(저녁)High correlation
급식인원(점심) is highly overall correlated with 1일급식인원High correlation
급식인원(저녁) is highly overall correlated with 급식인원(아침)High correlation
소재지도로명주소 has 33 (1.2%) missing valuesMissing
소재지지번주소 has 151 (5.5%) missing valuesMissing
업소전화번호 has 364 (13.3%) missing valuesMissing
1일급식인원 has 274 (10.0%) missing valuesMissing
급식인원(아침) has 932 (34.0%) missing valuesMissing
급식인원(점심) has 925 (33.7%) missing valuesMissing
급식인원(저녁) has 928 (33.8%) missing valuesMissing
급식인원(야식) has 971 (35.4%) missing valuesMissing
급식인원(기타) has 1003 (36.5%) missing valuesMissing
위탁급식업소명 has 1913 (69.7%) missing valuesMissing
1일급식인원 has 44 (1.6%) zerosZeros
급식인원(아침) has 1203 (43.8%) zerosZeros
급식인원(점심) has 136 (5.0%) zerosZeros
급식인원(저녁) has 1056 (38.5%) zerosZeros
급식인원(야식) has 1643 (59.9%) zerosZeros
급식인원(기타) has 1705 (62.1%) zerosZeros

Reproduction

Analysis started2024-04-14 03:19:41.768098
Analysis finished2024-04-14 03:19:47.656937
Duration5.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
안산시
430 
안양시
397 
수원시
387 
안성시
328 
하남시
232 
Other values (15)
971 

Length

Max length4
Median length3
Mean length3.03898
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
안산시 430
15.7%
안양시 397
14.5%
수원시 387
14.1%
안성시 328
11.9%
하남시 232
8.5%
군포시 189
6.9%
파주시 105
 
3.8%
시흥시 102
 
3.7%
이천시 89
 
3.2%
부천시 87
 
3.2%
Other values (10) 399
14.5%

Length

2024-04-14T12:19:47.710118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
안산시 430
15.7%
안양시 397
14.5%
수원시 387
14.1%
안성시 328
11.9%
하남시 232
8.5%
군포시 189
6.9%
파주시 105
 
3.8%
시흥시 102
 
3.7%
이천시 89
 
3.2%
부천시 87
 
3.2%
Other values (10) 399
14.5%

업소명
Text

Distinct2707
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2024-04-14T12:19:47.889244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length25
Mean length8.6579235
Min length3

Characters and Unicode

Total characters23766
Distinct characters654
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2672 ?
Unique (%)97.3%

Sample

1st row(주)교원프라퍼티
2nd row(주)케이씨씨글라스 가평공장
3rd row가평현등연구소 집단급식소
4th row강변요양병원
5th row백둔리상신노인전문요양원
ValueCountFrequency (%)
주식회사 91
 
2.7%
어린이집 66
 
2.0%
구내식당 38
 
1.1%
직원식당 16
 
0.5%
시립 11
 
0.3%
주)이마트 11
 
0.3%
의료법인 10
 
0.3%
유치원 7
 
0.2%
사회복지법인 6
 
0.2%
군포시립 6
 
0.2%
Other values (2934) 3122
92.3%
2024-04-14T12:19:48.184999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 891
 
3.7%
주 873
 
3.7%
) 730
 
3.1%
( 726
 
3.1%
원 718
 
3.0%
641
 
2.7%
어 603
 
2.5%
학 584
 
2.5%
집 571
 
2.4%
린 568
 
2.4%
Other values (644) 16861
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21366
89.9%
Close Punctuation 730
 
3.1%
Open Punctuation 726
 
3.1%
Space Separator 641
 
2.7%
Uppercase Letter 184
 
0.8%
Decimal Number 75
 
0.3%
Other Punctuation 23
 
0.1%
Lowercase Letter 14
 
0.1%
Dash Punctuation 3
 
< 0.1%
Other Symbol 2
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 891
 
4.2%
주 873
 
4.1%
원 718
 
3.4%
어 603
 
2.8%
학 584
 
2.7%
집 571
 
2.7%
린 568
 
2.7%
교 555
 
2.6%
스 340
 
1.6%
사 332
 
1.6%
Other values (592) 15331
71.8%
Uppercase Letter
ValueCountFrequency (%)
S 19
 
10.3%
K 18
 
9.8%
C 17
 
9.2%
L 16
 
8.7%
G 15
 
8.2%
A 14
 
7.6%
D 9
 
4.9%
P 9
 
4.9%
B 9
 
4.9%
T 9
 
4.9%
Other values (13) 49
26.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
21.4%
c 3
21.4%
m 3
21.4%
u 1
 
7.1%
s 1
 
7.1%
p 1
 
7.1%
a 1
 
7.1%
o 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 35
46.7%
1 19
25.3%
3 9
 
12.0%
4 5
 
6.7%
5 5
 
6.7%
0 1
 
1.3%
6 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 6
26.1%
. 4
17.4%
& 4
17.4%
# 3
13.0%
· 3
13.0%
' 2
 
8.7%
/ 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 730
100.0%
Open Punctuation
ValueCountFrequency (%)
( 726
100.0%
Space Separator
ValueCountFrequency (%)
641
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21368
89.9%
Common 2199
 
9.3%
Latin 199
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 891
 
4.2%
주 873
 
4.1%
원 718
 
3.4%
어 603
 
2.8%
학 584
 
2.7%
집 571
 
2.7%
린 568
 
2.7%
교 555
 
2.6%
스 340
 
1.6%
사 332
 
1.6%
Other values (593) 15333
71.8%
Latin
ValueCountFrequency (%)
S 19
 
9.5%
K 18
 
9.0%
C 17
 
8.5%
L 16
 
8.0%
G 15
 
7.5%
A 14
 
7.0%
D 9
 
4.5%
P 9
 
4.5%
B 9
 
4.5%
T 9
 
4.5%
Other values (22) 64
32.2%
Common
ValueCountFrequency (%)
) 730
33.2%
( 726
33.0%
641
29.1%
2 35
 
1.6%
1 19
 
0.9%
3 9
 
0.4%
, 6
 
0.3%
4 5
 
0.2%
5 5
 
0.2%
. 4
 
0.2%
Other values (9) 19
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21365
89.9%
ASCII 2394
 
10.1%
None 5
 
< 0.1%
Number Forms 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 891
 
4.2%
주 873
 
4.1%
원 718
 
3.4%
어 603
 
2.8%
학 584
 
2.7%
집 571
 
2.7%
린 568
 
2.7%
교 555
 
2.6%
스 340
 
1.6%
사 332
 
1.6%
Other values (591) 15330
71.8%
ASCII
ValueCountFrequency (%)
) 730
30.5%
( 726
30.3%
641
26.8%
2 35
 
1.5%
S 19
 
0.8%
1 19
 
0.8%
K 18
 
0.8%
C 17
 
0.7%
L 16
 
0.7%
G 15
 
0.6%
Other values (39) 158
 
6.6%
None
ValueCountFrequency (%)
· 3
60.0%
㈜ 2
40.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct2656
Distinct (%)97.9%
Missing33
Missing (%)1.2%
Memory size21.6 KiB
2024-04-14T12:19:48.423889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length51
Mean length30.205752
Min length11

Characters and Unicode

Total characters81918
Distinct characters535
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2622 ?
Unique (%)96.7%

Sample

1st row경기도 가평군 설악면 유명로 2182, 교원비전센터
2nd row경기도 가평군 가평읍 물안산길 42, 6동 2층
3rd row경기도 가평군 조종면 운악청계로490번길 70-2 (외 33필지)
4th row경기도 가평군 가평읍 북한강변로 160, 2층
5th row경기도 가평군 북면 백둔로 380-102, A동 1층
ValueCountFrequency (%)
경기도 2712
 
15.5%
안산시 430
 
2.5%
안양시 397
 
2.3%
수원시 386
 
2.2%
1층 362
 
2.1%
안성시 301
 
1.7%
권선구 264
 
1.5%
동안구 229
 
1.3%
하남시 229
 
1.3%
상록구 218
 
1.2%
Other values (3957) 11937
68.3%
2024-04-14T12:19:48.788130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14779
 
18.0%
시 2981
 
3.6%
동 2917
 
3.6%
도 2858
 
3.5%
경 2851
 
3.5%
기 2793
 
3.4%
1 2782
 
3.4%
로 2449
 
3.0%
( 2287
 
2.8%
) 2287
 
2.8%
Other values (525) 42934
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47974
58.6%
Space Separator 14779
 
18.0%
Decimal Number 11888
 
14.5%
Open Punctuation 2289
 
2.8%
Close Punctuation 2289
 
2.8%
Other Punctuation 1853
 
2.3%
Dash Punctuation 580
 
0.7%
Uppercase Letter 236
 
0.3%
Lowercase Letter 20
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2981
 
6.2%
동 2917
 
6.1%
도 2858
 
6.0%
경 2851
 
5.9%
기 2793
 
5.8%
로 2449
 
5.1%
안 1914
 
4.0%
구 1272
 
2.7%
층 1189
 
2.5%
길 1068
 
2.2%
Other values (467) 25682
53.5%
Uppercase Letter
ValueCountFrequency (%)
C 29
12.3%
A 26
11.0%
B 25
10.6%
L 17
 
7.2%
T 15
 
6.4%
R 14
 
5.9%
S 13
 
5.5%
E 13
 
5.5%
H 13
 
5.5%
D 10
 
4.2%
Other values (13) 61
25.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
20.0%
c 2
10.0%
h 2
10.0%
b 2
10.0%
s 2
10.0%
u 1
 
5.0%
p 1
 
5.0%
m 1
 
5.0%
a 1
 
5.0%
k 1
 
5.0%
Other values (3) 3
15.0%
Decimal Number
ValueCountFrequency (%)
1 2782
23.4%
2 1745
14.7%
3 1278
10.8%
4 1072
 
9.0%
5 1006
 
8.5%
6 894
 
7.5%
0 886
 
7.5%
7 882
 
7.4%
9 687
 
5.8%
8 656
 
5.5%
Other Punctuation
ValueCountFrequency (%)
, 1836
99.1%
. 8
 
0.4%
& 4
 
0.2%
· 3
 
0.2%
* 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2287
99.9%
[ 2
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 2287
99.9%
] 2
 
0.1%
Space Separator
ValueCountFrequency (%)
14779
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 580
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47974
58.6%
Common 33688
41.1%
Latin 256
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2981
 
6.2%
동 2917
 
6.1%
도 2858
 
6.0%
경 2851
 
5.9%
기 2793
 
5.8%
로 2449
 
5.1%
안 1914
 
4.0%
구 1272
 
2.7%
층 1189
 
2.5%
길 1068
 
2.2%
Other values (467) 25682
53.5%
Latin
ValueCountFrequency (%)
C 29
 
11.3%
A 26
 
10.2%
B 25
 
9.8%
L 17
 
6.6%
T 15
 
5.9%
R 14
 
5.5%
S 13
 
5.1%
E 13
 
5.1%
H 13
 
5.1%
D 10
 
3.9%
Other values (26) 81
31.6%
Common
ValueCountFrequency (%)
14779
43.9%
1 2782
 
8.3%
( 2287
 
6.8%
) 2287
 
6.8%
, 1836
 
5.5%
2 1745
 
5.2%
3 1278
 
3.8%
4 1072
 
3.2%
5 1006
 
3.0%
6 894
 
2.7%
Other values (12) 3722
 
11.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47973
58.6%
ASCII 33941
41.4%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14779
43.5%
1 2782
 
8.2%
( 2287
 
6.7%
) 2287
 
6.7%
, 1836
 
5.4%
2 1745
 
5.1%
3 1278
 
3.8%
4 1072
 
3.2%
5 1006
 
3.0%
6 894
 
2.6%
Other values (47) 3975
 
11.7%
Hangul
ValueCountFrequency (%)
시 2981
 
6.2%
동 2917
 
6.1%
도 2858
 
6.0%
경 2851
 
5.9%
기 2793
 
5.8%
로 2449
 
5.1%
안 1914
 
4.0%
구 1272
 
2.7%
층 1189
 
2.5%
길 1068
 
2.2%
Other values (466) 25681
53.5%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

소재지지번주소
Text

MISSING 

Distinct2557
Distinct (%)98.6%
Missing151
Missing (%)5.5%
Memory size21.6 KiB
2024-04-14T12:19:49.050277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length23.863917
Min length11

Characters and Unicode

Total characters61903
Distinct characters493
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2528 ?
Unique (%)97.5%

Sample

1st row경기도 가평군 설악면 회곡리 313-1 교원비전센터
2nd row경기도 가평군 가평읍 개곡리 산 280 외 5필지, 6동 2층
3rd row경기도 가평군 조종면 운악리 64 외 33필지
4th row경기도 가평군 가평읍 금대리 585 외1필지, 2층
5th row경기도 가평군 북면 백둔리 340-1 A동 1층
ValueCountFrequency (%)
경기도 2594
 
17.4%
안산시 430
 
2.9%
안양시 397
 
2.7%
안성시 327
 
2.2%
320
 
2.2%
수원시 317
 
2.1%
권선구 261
 
1.8%
하남시 231
 
1.6%
동안구 229
 
1.5%
상록구 218
 
1.5%
Other values (3631) 9551
64.2%
2024-04-14T12:19:49.455451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12290
19.9%
시 2810
 
4.5%
도 2715
 
4.4%
1 2707
 
4.4%
기 2630
 
4.2%
경 2623
 
4.2%
동 2539
 
4.1%
안 1764
 
2.8%
- 1643
 
2.7%
2 1407
 
2.3%
Other values (483) 28775
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35918
58.0%
Space Separator 12290
 
19.9%
Decimal Number 11371
 
18.4%
Dash Punctuation 1643
 
2.7%
Uppercase Letter 210
 
0.3%
Close Punctuation 170
 
0.3%
Open Punctuation 170
 
0.3%
Other Punctuation 113
 
0.2%
Lowercase Letter 14
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2810
 
7.8%
도 2715
 
7.6%
기 2630
 
7.3%
경 2623
 
7.3%
동 2539
 
7.1%
안 1764
 
4.9%
구 1185
 
3.3%
원 801
 
2.2%
산 789
 
2.2%
양 765
 
2.1%
Other values (429) 17297
48.2%
Uppercase Letter
ValueCountFrequency (%)
A 26
12.4%
B 21
 
10.0%
C 18
 
8.6%
L 17
 
8.1%
T 15
 
7.1%
E 15
 
7.1%
R 13
 
6.2%
D 10
 
4.8%
S 10
 
4.8%
H 9
 
4.3%
Other values (13) 56
26.7%
Decimal Number
ValueCountFrequency (%)
1 2707
23.8%
2 1407
12.4%
3 1113
9.8%
4 1055
 
9.3%
5 1037
 
9.1%
6 910
 
8.0%
7 888
 
7.8%
0 844
 
7.4%
8 739
 
6.5%
9 671
 
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
28.6%
h 2
14.3%
b 1
 
7.1%
k 1
 
7.1%
t 1
 
7.1%
s 1
 
7.1%
r 1
 
7.1%
i 1
 
7.1%
c 1
 
7.1%
a 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 96
85.0%
. 9
 
8.0%
· 3
 
2.7%
& 3
 
2.7%
@ 2
 
1.8%
Space Separator
ValueCountFrequency (%)
12290
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1643
100.0%
Close Punctuation
ValueCountFrequency (%)
) 170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 170
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35919
58.0%
Common 25760
41.6%
Latin 224
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2810
 
7.8%
도 2715
 
7.6%
기 2630
 
7.3%
경 2623
 
7.3%
동 2539
 
7.1%
안 1764
 
4.9%
구 1185
 
3.3%
원 801
 
2.2%
산 789
 
2.2%
양 765
 
2.1%
Other values (430) 17298
48.2%
Latin
ValueCountFrequency (%)
A 26
 
11.6%
B 21
 
9.4%
C 18
 
8.0%
L 17
 
7.6%
T 15
 
6.7%
E 15
 
6.7%
R 13
 
5.8%
D 10
 
4.5%
S 10
 
4.5%
H 9
 
4.0%
Other values (23) 70
31.2%
Common
ValueCountFrequency (%)
12290
47.7%
1 2707
 
10.5%
- 1643
 
6.4%
2 1407
 
5.5%
3 1113
 
4.3%
4 1055
 
4.1%
5 1037
 
4.0%
6 910
 
3.5%
7 888
 
3.4%
0 844
 
3.3%
Other values (10) 1866
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35917
58.0%
ASCII 25981
42.0%
None 4
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12290
47.3%
1 2707
 
10.4%
- 1643
 
6.3%
2 1407
 
5.4%
3 1113
 
4.3%
4 1055
 
4.1%
5 1037
 
4.0%
6 910
 
3.5%
7 888
 
3.4%
0 844
 
3.2%
Other values (42) 2087
 
8.0%
Hangul
ValueCountFrequency (%)
시 2810
 
7.8%
도 2715
 
7.6%
기 2630
 
7.3%
경 2623
 
7.3%
동 2539
 
7.1%
안 1764
 
4.9%
구 1185
 
3.3%
원 801
 
2.2%
산 789
 
2.2%
양 765
 
2.1%
Other values (428) 17296
48.2%
None
ValueCountFrequency (%)
· 3
75.0%
㈜ 1
 
25.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

업소전화번호
Text

MISSING 

Distinct2269
Distinct (%)95.3%
Missing364
Missing (%)13.3%
Memory size21.6 KiB
2024-04-14T12:19:49.706788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.056699
Min length9

Characters and Unicode

Total characters28707
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

Unique2221 ?
Unique (%)93.3%

Sample

1st row031-580-1523
2nd row031-589-2937
3rd row031-582-8858
4th row031-582-9080
5th row031-589-3000
ValueCountFrequency (%)
000-0000-0000 50
 
2.1%
000-000-0000 14
 
0.6%
031-277-1157 4
 
0.2%
031-200-1211 3
 
0.1%
031-670-5062 3
 
0.1%
031-490-6028 2
 
0.1%
031-673-2041 2
 
0.1%
031-539-1096 2
 
0.1%
031-8094-7740 2
 
0.1%
031-8056-8300 2
 
0.1%
Other values (2259) 2297
96.5%
2024-04-14T12:19:50.070624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5211
18.2%
- 4758
16.6%
1 3787
13.2%
3 3720
13.0%
4 1860
 
6.5%
2 1758
 
6.1%
7 1645
 
5.7%
6 1595
 
5.6%
8 1558
 
5.4%
9 1431
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23949
83.4%
Dash Punctuation 4758
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5211
21.8%
1 3787
15.8%
3 3720
15.5%
4 1860
 
7.8%
2 1758
 
7.3%
7 1645
 
6.9%
6 1595
 
6.7%
8 1558
 
6.5%
9 1431
 
6.0%
5 1384
 
5.8%
Dash Punctuation
ValueCountFrequency (%)
- 4758
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28707
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5211
18.2%
- 4758
16.6%
1 3787
13.2%
3 3720
13.0%
4 1860
 
6.5%
2 1758
 
6.1%
7 1645
 
5.7%
6 1595
 
5.6%
8 1558
 
5.4%
9 1431
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28707
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5211
18.2%
- 4758
16.6%
1 3787
13.2%
3 3720
13.0%
4 1860
 
6.5%
2 1758
 
6.1%
7 1645
 
5.7%
6 1595
 
5.6%
8 1558
 
5.4%
9 1431
 
5.0%

1일급식인원
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct497
Distinct (%)20.1%
Missing274
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean331.63901
Minimum0
Maximum11800
Zeros44
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2024-04-14T12:19:50.195113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile41.5
Q180
median150
Q3320
95-th percentile1242.5
Maximum11800
Range11800
Interquartile range (IQR)240

Descriptive statistics

Standard deviation595.73324
Coefficient of variation (CV)1.7963304
Kurtosis106.20508
Mean331.63901
Median Absolute Deviation (MAD)85
Skewness7.9980784
Sum819480
Variance354898.09
MonotonicityNot monotonic
2024-04-14T12:19:50.301786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 76
 
2.8%
100 67
 
2.4%
50 66
 
2.4%
80 64
 
2.3%
90 58
 
2.1%
120 55
 
2.0%
70 54
 
2.0%
200 52
 
1.9%
60 50
 
1.8%
0 44
 
1.6%
Other values (487) 1885
68.7%
(Missing) 274
 
10.0%
ValueCountFrequency (%)
0 44
1.6%
1 31
1.1%
2 3
 
0.1%
3 9
 
0.3%
4 1
 
< 0.1%
19 1
 
< 0.1%
20 1
 
< 0.1%
23 1
 
< 0.1%
24 1
 
< 0.1%
28 2
 
0.1%
ValueCountFrequency (%)
11800 1
< 0.1%
8900 1
< 0.1%
8000 1
< 0.1%
7350 1
< 0.1%
7300 1
< 0.1%
6000 1
< 0.1%
5100 1
< 0.1%
4000 1
< 0.1%
3600 2
0.1%
3580 1
< 0.1%

급식인원(아침)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct127
Distinct (%)7.0%
Missing932
Missing (%)34.0%
Infinite0
Infinite (%)0.0%
Mean42.779923
Minimum0
Maximum3800
Zeros1203
Zeros (%)43.8%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2024-04-14T12:19:50.418952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q335
95-th percentile150
Maximum3800
Range3800
Interquartile range (IQR)35

Descriptive statistics

Standard deviation165.56148
Coefficient of variation (CV)3.8700744
Kurtosis181.54172
Mean42.779923
Median Absolute Deviation (MAD)0
Skewness10.984112
Sum77560
Variance27410.604
MonotonicityNot monotonic
2024-04-14T12:19:50.529060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1203
43.8%
50 60
 
2.2%
30 44
 
1.6%
20 35
 
1.3%
100 32
 
1.2%
40 32
 
1.2%
70 27
 
1.0%
10 25
 
0.9%
60 25
 
0.9%
80 23
 
0.8%
Other values (117) 307
 
11.2%
(Missing) 932
34.0%
ValueCountFrequency (%)
0 1203
43.8%
3 2
 
0.1%
4 1
 
< 0.1%
5 7
 
0.3%
7 2
 
0.1%
10 25
 
0.9%
15 6
 
0.2%
16 1
 
< 0.1%
17 2
 
0.1%
18 1
 
< 0.1%
ValueCountFrequency (%)
3800 1
< 0.1%
2000 1
< 0.1%
1700 1
< 0.1%
1600 1
< 0.1%
1500 2
0.1%
1300 1
< 0.1%
1250 1
< 0.1%
1200 1
< 0.1%
1150 1
< 0.1%
1100 1
< 0.1%

급식인원(점심)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct327
Distinct (%)18.0%
Missing925
Missing (%)33.7%
Infinite0
Infinite (%)0.0%
Mean245.51374
Minimum0
Maximum4200
Zeros136
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2024-04-14T12:19:50.641260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q160
median93.5
Q3200
95-th percentile1126.3
Maximum4200
Range4200
Interquartile range (IQR)140

Descriptive statistics

Standard deviation414.0088
Coefficient of variation (CV)1.6862959
Kurtosis20.899569
Mean245.51374
Median Absolute Deviation (MAD)43.5
Skewness3.8306771
Sum446835
Variance171403.29
MonotonicityNot monotonic
2024-04-14T12:19:50.749881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 136
 
5.0%
100 94
 
3.4%
80 92
 
3.4%
50 91
 
3.3%
70 80
 
2.9%
60 71
 
2.6%
90 57
 
2.1%
150 54
 
2.0%
120 50
 
1.8%
55 45
 
1.6%
Other values (317) 1050
38.3%
(Missing) 925
33.7%
ValueCountFrequency (%)
0 136
5.0%
10 3
 
0.1%
20 5
 
0.2%
21 1
 
< 0.1%
25 3
 
0.1%
28 1
 
< 0.1%
30 4
 
0.1%
33 1
 
< 0.1%
35 5
 
0.2%
40 14
 
0.5%
ValueCountFrequency (%)
4200 1
 
< 0.1%
4000 2
0.1%
3500 2
0.1%
3000 1
 
< 0.1%
2600 1
 
< 0.1%
2500 2
0.1%
2300 1
 
< 0.1%
2050 1
 
< 0.1%
1950 1
 
< 0.1%
1900 3
0.1%

급식인원(저녁)
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct128
Distinct (%)7.0%
Missing928
Missing (%)33.8%
Infinite0
Infinite (%)0.0%
Mean54.161805
Minimum0
Maximum2500
Zeros1056
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2024-04-14T12:19:50.858690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q350
95-th percentile200
Maximum2500
Range2500
Interquartile range (IQR)50

Descriptive statistics

Standard deviation175.0372
Coefficient of variation (CV)3.231746
Kurtosis75.360438
Mean54.161805
Median Absolute Deviation (MAD)0
Skewness7.7132324
Sum98412
Variance30638.021
MonotonicityNot monotonic
2024-04-14T12:19:50.965207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1056
38.5%
50 103
 
3.8%
30 54
 
2.0%
100 42
 
1.5%
20 39
 
1.4%
40 39
 
1.4%
60 36
 
1.3%
70 32
 
1.2%
80 29
 
1.1%
10 26
 
0.9%
Other values (118) 361
 
13.2%
(Missing) 928
33.8%
ValueCountFrequency (%)
0 1056
38.5%
1 1
 
< 0.1%
4 3
 
0.1%
5 11
 
0.4%
6 1
 
< 0.1%
7 4
 
0.1%
8 1
 
< 0.1%
9 1
 
< 0.1%
10 26
 
0.9%
12 2
 
0.1%
ValueCountFrequency (%)
2500 1
< 0.1%
2400 1
< 0.1%
2000 1
< 0.1%
1700 1
< 0.1%
1680 1
< 0.1%
1600 2
0.1%
1550 1
< 0.1%
1500 2
0.1%
1350 1
< 0.1%
1200 1
< 0.1%

급식인원(야식)
Real number (ℝ)

MISSING  ZEROS 

Distinct54
Distinct (%)3.0%
Missing971
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean7.3354002
Minimum0
Maximum1500
Zeros1643
Zeros (%)59.9%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2024-04-14T12:19:51.069816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20
Maximum1500
Range1500
Interquartile range (IQR)0

Descriptive statistics

Standard deviation62.3002
Coefficient of variation (CV)8.4930881
Kurtosis307.90182
Mean7.3354002
Median Absolute Deviation (MAD)0
Skewness16.0779
Sum13013
Variance3881.315
MonotonicityNot monotonic
2024-04-14T12:19:51.179975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1643
59.9%
20 17
 
0.6%
30 11
 
0.4%
10 8
 
0.3%
5 7
 
0.3%
40 7
 
0.3%
100 7
 
0.3%
50 6
 
0.2%
200 5
 
0.2%
150 3
 
0.1%
Other values (44) 60
 
2.2%
(Missing) 971
35.4%
ValueCountFrequency (%)
0 1643
59.9%
1 2
 
0.1%
2 2
 
0.1%
3 1
 
< 0.1%
4 2
 
0.1%
5 7
 
0.3%
6 1
 
< 0.1%
8 2
 
0.1%
9 1
 
< 0.1%
10 8
 
0.3%
ValueCountFrequency (%)
1500 1
 
< 0.1%
1200 1
 
< 0.1%
800 1
 
< 0.1%
784 1
 
< 0.1%
690 1
 
< 0.1%
650 1
 
< 0.1%
600 1
 
< 0.1%
260 1
 
< 0.1%
230 1
 
< 0.1%
200 5
0.2%

급식인원(기타)
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)1.6%
Missing1003
Missing (%)36.5%
Infinite0
Infinite (%)0.0%
Mean1.5952928
Minimum0
Maximum450
Zeros1705
Zeros (%)62.1%
Negative0
Negative (%)0.0%
Memory size24.3 KiB
2024-04-14T12:19:51.283989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum450
Range450
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15.290781
Coefficient of variation (CV)9.584937
Kurtosis451.20153
Mean1.5952928
Median Absolute Deviation (MAD)0
Skewness17.977391
Sum2779
Variance233.80797
MonotonicityNot monotonic
2024-04-14T12:19:51.374420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 1705
62.1%
100 4
 
0.1%
20 4
 
0.1%
50 3
 
0.1%
80 2
 
0.1%
56 2
 
0.1%
57 1
 
< 0.1%
137 1
 
< 0.1%
42 1
 
< 0.1%
70 1
 
< 0.1%
Other values (18) 18
 
0.7%
(Missing) 1003
36.5%
ValueCountFrequency (%)
0 1705
62.1%
2 1
 
< 0.1%
5 1
 
< 0.1%
8 1
 
< 0.1%
20 4
 
0.1%
25 1
 
< 0.1%
35 1
 
< 0.1%
40 1
 
< 0.1%
42 1
 
< 0.1%
45 1
 
< 0.1%
ValueCountFrequency (%)
450 1
 
< 0.1%
180 1
 
< 0.1%
137 1
 
< 0.1%
130 1
 
< 0.1%
120 1
 
< 0.1%
110 1
 
< 0.1%
100 4
0.1%
93 1
 
< 0.1%
85 1
 
< 0.1%
80 2
0.1%

위탁급식업소명
Text

MISSING 

Distinct786
Distinct (%)94.5%
Missing1913
Missing (%)69.7%
Memory size21.6 KiB
2024-04-14T12:19:51.552423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length22
Mean length12.229567
Min length2

Characters and Unicode

Total characters10175
Distinct characters477
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique759 ?
Unique (%)91.2%

Sample

1st row(주)아워홈 교원가평비전센터점
2nd row㈜현대그린푸드KCC글라스가평공장점
3rd row푸디스트㈜현등연구소점(단체급식)
4th row신응수강변요양병원점
5th row㈜홈메이드푸드
ValueCountFrequency (%)
주)아워홈 40
 
3.1%
주식회사 39
 
3.0%
구내식당 20
 
1.5%
주)신세계푸드 17
 
1.3%
주)동원홈푸드 16
 
1.2%
주)후니드 9
 
0.7%
네이처델리 8
 
0.6%
주)진주랑 8
 
0.6%
씨제이프레시웨이 7
 
0.5%
씨제이프레시웨이(주 7
 
0.5%
Other values (955) 1127
86.8%
2024-04-14T12:19:51.864429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 558
 
5.5%
) 501
 
4.9%
( 500
 
4.9%
466
 
4.6%
드 330
 
3.2%
푸 305
 
3.0%
점 296
 
2.9%
스 275
 
2.7%
이 259
 
2.5%
원 171
 
1.7%
Other values (467) 6514
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8427
82.8%
Close Punctuation 501
 
4.9%
Open Punctuation 500
 
4.9%
Space Separator 466
 
4.6%
Uppercase Letter 185
 
1.8%
Other Symbol 36
 
0.4%
Decimal Number 35
 
0.3%
Lowercase Letter 12
 
0.1%
Other Punctuation 9
 
0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 558
 
6.6%
드 330
 
3.9%
푸 305
 
3.6%
점 296
 
3.5%
스 275
 
3.3%
이 259
 
3.1%
원 171
 
2.0%
식 167
 
2.0%
에 148
 
1.8%
아 144
 
1.7%
Other values (420) 5774
68.5%
Uppercase Letter
ValueCountFrequency (%)
S 30
16.2%
C 29
15.7%
L 17
9.2%
K 15
8.1%
G 12
 
6.5%
F 11
 
5.9%
D 11
 
5.9%
T 11
 
5.9%
J 11
 
5.9%
B 8
 
4.3%
Other values (11) 30
16.2%
Lowercase Letter
ValueCountFrequency (%)
h 2
16.7%
e 2
16.7%
b 2
16.7%
o 1
8.3%
k 1
8.3%
i 1
8.3%
t 1
8.3%
c 1
8.3%
n 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 10
28.6%
1 7
20.0%
5 7
20.0%
3 5
14.3%
0 2
 
5.7%
4 2
 
5.7%
9 1
 
2.9%
8 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
& 7
77.8%
, 1
 
11.1%
/ 1
 
11.1%
Close Punctuation
ValueCountFrequency (%)
) 501
100.0%
Open Punctuation
ValueCountFrequency (%)
( 500
100.0%
Space Separator
ValueCountFrequency (%)
466
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 36
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8463
83.2%
Common 1515
 
14.9%
Latin 197
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 558
 
6.6%
드 330
 
3.9%
푸 305
 
3.6%
점 296
 
3.5%
스 275
 
3.2%
이 259
 
3.1%
원 171
 
2.0%
식 167
 
2.0%
에 148
 
1.7%
아 144
 
1.7%
Other values (421) 5810
68.7%
Latin
ValueCountFrequency (%)
S 30
15.2%
C 29
14.7%
L 17
8.6%
K 15
 
7.6%
G 12
 
6.1%
F 11
 
5.6%
D 11
 
5.6%
T 11
 
5.6%
J 11
 
5.6%
B 8
 
4.1%
Other values (20) 42
21.3%
Common
ValueCountFrequency (%)
) 501
33.1%
( 500
33.0%
466
30.8%
2 10
 
0.7%
& 7
 
0.5%
1 7
 
0.5%
5 7
 
0.5%
3 5
 
0.3%
_ 2
 
0.1%
0 2
 
0.1%
Other values (6) 8
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8427
82.8%
ASCII 1712
 
16.8%
None 36
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 558
 
6.6%
드 330
 
3.9%
푸 305
 
3.6%
점 296
 
3.5%
스 275
 
3.3%
이 259
 
3.1%
원 171
 
2.0%
식 167
 
2.0%
에 148
 
1.8%
아 144
 
1.7%
Other values (420) 5774
68.5%
ASCII
ValueCountFrequency (%)
) 501
29.3%
( 500
29.2%
466
27.2%
S 30
 
1.8%
C 29
 
1.7%
L 17
 
1.0%
K 15
 
0.9%
G 12
 
0.7%
F 11
 
0.6%
D 11
 
0.6%
Other values (36) 120
 
7.0%
None
ValueCountFrequency (%)
㈜ 36
100.0%

데이터기준일자
Categorical

HIGH CORRELATION 

Distinct18
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size21.6 KiB
2024-03-04
430 
2023-06-20
397 
2023-02-09
387 
2024-02-20
328 
2024-02-14
242 
Other values (13)
961 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-14
2nd row2024-02-14
3rd row2024-02-14
4th row2024-02-14
5th row2024-02-14

Common Values

ValueCountFrequency (%)
2024-03-04 430
15.7%
2023-06-20 397
14.5%
2023-02-09 387
14.1%
2024-02-20 328
11.9%
2024-02-14 242
8.8%
2024-02-27 189
6.9%
2024-02-29 105
 
3.8%
2023-06-07 102
 
3.7%
2023-05-18 89
 
3.2%
2023-05-31 87
 
3.2%
Other values (8) 389
14.2%

Length

2024-04-14T12:19:51.972274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-03-04 430
15.7%
2023-06-20 397
14.5%
2023-02-09 387
14.1%
2024-02-20 328
11.9%
2024-02-14 242
8.8%
2024-02-27 189
6.9%
2024-02-29 105
 
3.8%
2023-06-07 102
 
3.7%
2023-05-18 89
 
3.2%
2023-05-31 87
 
3.2%
Other values (8) 389
14.2%

Interactions

2024-04-14T12:19:46.630420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:44.292864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:44.779576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.274048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.729171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.161945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.699271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:44.410773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:44.857003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.355134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.802021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.244409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.784476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:44.488600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:44.946596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.430833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.879307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.326674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.850546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:44.558659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.028662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.501916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.945087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.401302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.923170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:44.629960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.103832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.584624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.016222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.477768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.999021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:44.710011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.197356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:45.663414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.090015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-14T12:19:46.555126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-14T12:19:52.036044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명1일급식인원급식인원(아침)급식인원(점심)급식인원(저녁)급식인원(야식)급식인원(기타)데이터기준일자
시군명1.0000.2230.2240.2390.2150.1060.3161.000
1일급식인원0.2231.0000.8430.8840.9360.8320.0000.273
급식인원(아침)0.2240.8431.0000.7090.8450.8870.1360.230
급식인원(점심)0.2390.8840.7091.0000.7840.6890.0000.246
급식인원(저녁)0.2150.9360.8450.7841.0000.7210.0810.192
급식인원(야식)0.1060.8320.8870.6890.7211.0000.1840.129
급식인원(기타)0.3160.0000.1360.0000.0810.1841.0000.374
데이터기준일자1.0000.2730.2300.2460.1920.1290.3741.000
2024-04-14T12:19:52.126265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명데이터기준일자
시군명1.0001.000
데이터기준일자1.0001.000
2024-04-14T12:19:52.196084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1일급식인원급식인원(아침)급식인원(점심)급식인원(저녁)급식인원(야식)급식인원(기타)시군명데이터기준일자
1일급식인원1.0000.2920.7290.3950.1650.0190.0890.094
급식인원(아침)0.2921.000-0.0500.5970.2230.0130.1010.106
급식인원(점심)0.729-0.0501.0000.1540.051-0.0360.0930.099
급식인원(저녁)0.3950.5970.1541.0000.3190.0050.0730.080
급식인원(야식)0.1650.2230.0510.3191.0000.0250.0480.058
급식인원(기타)0.0190.013-0.0360.0050.0251.0000.1670.168
시군명0.0890.1010.0930.0730.0480.1671.0001.000
데이터기준일자0.0940.1060.0990.0800.0580.1681.0001.000

Missing values

2024-04-14T12:19:47.106255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-14T12:19:47.247908image/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.
2024-04-14T12:19:47.563071image/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

시군명업소명소재지도로명주소소재지지번주소업소전화번호1일급식인원급식인원(아침)급식인원(점심)급식인원(저녁)급식인원(야식)급식인원(기타)위탁급식업소명데이터기준일자
0가평군(주)교원프라퍼티경기도 가평군 설악면 유명로 2182, 교원비전센터경기도 가평군 설악면 회곡리 313-1 교원비전센터<NA>2808010010000(주)아워홈 교원가평비전센터점2024-02-14
1가평군(주)케이씨씨글라스 가평공장경기도 가평군 가평읍 물안산길 42, 6동 2층경기도 가평군 가평읍 개곡리 산 280 외 5필지, 6동 2층031-580-15238010601000㈜현대그린푸드KCC글라스가평공장점2024-02-14
2가평군가평현등연구소 집단급식소경기도 가평군 조종면 운악청계로490번길 70-2 (외 33필지)경기도 가평군 조종면 운악리 64 외 33필지031-589-293750116716716700푸디스트㈜현등연구소점(단체급식)2024-02-14
3가평군강변요양병원경기도 가평군 가평읍 북한강변로 160, 2층경기도 가평군 가평읍 금대리 585 외1필지, 2층031-582-88587525252500신응수강변요양병원점2024-02-14
4가평군백둔리상신노인전문요양원경기도 가평군 북면 백둔로 380-102, A동 1층경기도 가평군 북면 백둔리 340-1 A동 1층031-582-908020866766600㈜홈메이드푸드2024-02-14
5가평군아난티클럽서울경기도 가평군 설악면 유명로 961-34, 클럽하우스동 지하2층경기도 가평군 설악면 방일리 산 90-2 클럽하우스동 지하2층031-589-3000260501308000씨제이프레시웨이(주)아난티가평점클럽하우스2024-02-14
6가평군아난티펜트하우스 직원식당경기도 가평군 설악면 유명로 1007-90, 주차장동 지하1층경기도 가평군 설악면 방일리 653-4031-589-300022150908010씨제이프레시웨이(주)아난티가평점펜트하우스2024-02-14
7가평군주식회사한샘아카데미 광릉한샘기숙학원경기도 가평군 조종면 명지산로 540, 1층경기도 가평군 조종면 상판리 136-1 1층031-541-49476001501501501500㈜아워홈 광릉한샘기숙학원2024-02-14
8가평군해암요양원경기도 가평군 청평면 경춘로 706, 지하1층경기도 가평군 청평면 청평리 650-8 지하1층<NA>12642424200지음푸드2024-02-14
9가평군현대백화점그룹 인재개발원경기도 가평군 청평면 고재길 33, 1층경기도 가평군 청평면 고성리 410-1 1층031-584-242015050505000㈜현대그린푸드 청평연수원지점2024-02-14
시군명업소명소재지도로명주소소재지지번주소업소전화번호1일급식인원급식인원(아침)급식인원(점심)급식인원(저녁)급식인원(야식)급식인원(기타)위탁급식업소명데이터기준일자
2735하남시한울빛어린이집경기도 하남시 미사강변한강로 110-1 (선동)경기도 하남시 선동 159-159<NA>60060000<NA>2024-02-14
2736하남시한홀초등학교경기도 하남시 미사강변서로 68, 한홀초등학교 (풍산동)경기도 하남시 풍산동 483 한홀초등학교031-8026-20081660166000<NA>2024-02-14
2737하남시해담어린이집경기도 하남시 하남유니온로 70, 1층 (신장동, 하남유니온시티에일린의뜰)경기도 하남시 신장동 602 하남유니온시티에일린의뜰031-795-697959059000<NA>2024-02-14
2738하남시해링턴플레이스어린이집경기도 하남시 미사강변한강로 326-4, 미사강변효성해링턴플레이스엔에이치에프 1층 (망월동)경기도 하남시 망월동 1170 미사강변효성해링턴플레이스엔에이치에프031-793-75371000100000<NA>2024-02-14
2739하남시해맑은 어린이집경기도 하남시 대청로 50-2, 백송한신아파트 관리동 1층 (신장동)경기도 하남시 신장동 528-5 백송한신아파트 관리동<NA>13642520042<NA>2024-02-14
2740하남시햇살병원경기도 하남시 신평로 51 (신장동)경기도 하남시 신장동 427-180031-791-733050050000<NA>2024-02-14
2741하남시향기로운 유치원경기도 하남시 조정대로 84 (풍산동)경기도 하남시 풍산동 580 예솔유치원031-795-977570070000<NA>2024-02-14
2742하남시홈플러스 경기하남점경기도 하남시 하남대로 747 (신장동,외 2필지 하남두산위브파크 지하3층)경기도 하남시 신장동 570 외 2필지 하남두산위브파크 지하3층031-777-70151200705000삼성에버랜드(주)2024-02-14
2743하남시효덕 노인전문요양원경기도 하남시 하남대로195번길 10 (상산곡동)경기도 하남시 상산곡동 165-1031-796-870022070807000<NA>2024-02-14
2744하남시흥국산업주식회사경기도 하남시 초광산단로 20, 흥국산업 주식회사 1층 (초이동)경기도 하남시 초이동 628 흥국산업 주식회사02-427-28121350135000주식회사 브라운에프엔비2024-02-14