Overview

Dataset statistics

Number of variables8
Number of observations363
Missing cells345
Missing cells (%)11.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.2 KiB
Average record size in memory65.4 B

Variable types

Categorical1
Text5
Numeric1
DateTime1

Dataset

Description경기도 김포시의 집단급식소 위탁 운영 현황(시군명, 업소명, 소재지도로명주소, 소재지지번주소, 업소전화번호, 1일급식인원, 위탁급식업소명, 데이터기준일자)의 정보를 제공하고 있습니다.
Author경기도 김포시
URLhttps://www.data.go.kr/data/15037679/fileData.do

Alerts

시군명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업소전화번호 has 41 (11.3%) missing valuesMissing
위탁급식업소명 has 304 (83.7%) missing valuesMissing
업소명 has unique valuesUnique
1일급식인원 has 8 (2.2%) zerosZeros

Reproduction

Analysis started2024-03-14 23:45:09.265868
Analysis finished2024-03-14 23:45:11.626690
Duration2.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
김포시
363 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
김포시 363
100.0%

Length

2024-03-15T08:45:11.847087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:45:12.133537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김포시 363
100.0%

업소명
Text

UNIQUE 

Distinct363
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-15T08:45:12.825904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length7.6143251
Min length3

Characters and Unicode

Total characters2764
Distinct characters322
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

Unique363 ?
Unique (%)100.0%

Sample

1st row벧엘어린이집
2nd row마조어린이집
3rd row(주)케이에스엠컴포넌트
4th row(주)아모그린텍
5th row동일쉘터시스템
ValueCountFrequency (%)
어린이집 11
 
2.7%
주식회사 5
 
1.2%
시립 3
 
0.7%
의료법인 2
 
0.5%
에스에스지닷컴 2
 
0.5%
김포한강어린이집 2
 
0.5%
벧엘어린이집 1
 
0.2%
오즈의마법사유치원 1
 
0.2%
솔터어린이집 1
 
0.2%
은여울중학교 1
 
0.2%
Other values (383) 383
93.0%
2024-03-15T08:45:14.007725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 147
 
5.3%
린 118
 
4.3%
어 112
 
4.1%
집 110
 
4.0%
원 97
 
3.5%
학 84
 
3.0%
교 81
 
2.9%
포 75
 
2.7%
김 72
 
2.6%
유 62
 
2.2%
Other values (312) 1806
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2576
93.2%
Open Punctuation 56
 
2.0%
Close Punctuation 56
 
2.0%
Space Separator 49
 
1.8%
Lowercase Letter 14
 
0.5%
Uppercase Letter 8
 
0.3%
Dash Punctuation 3
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 147
 
5.7%
린 118
 
4.6%
어 112
 
4.3%
집 110
 
4.3%
원 97
 
3.8%
학 84
 
3.3%
교 81
 
3.1%
포 75
 
2.9%
김 72
 
2.8%
유 62
 
2.4%
Other values (291) 1618
62.8%
Lowercase Letter
ValueCountFrequency (%)
s 3
21.4%
e 3
21.4%
i 2
14.3%
o 1
 
7.1%
r 1
 
7.1%
n 1
 
7.1%
a 1
 
7.1%
l 1
 
7.1%
c 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
H 2
25.0%
C 2
25.0%
A 1
12.5%
S 1
12.5%
G 1
12.5%
L 1
12.5%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2576
93.2%
Common 166
 
6.0%
Latin 22
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 147
 
5.7%
린 118
 
4.6%
어 112
 
4.3%
집 110
 
4.3%
원 97
 
3.8%
학 84
 
3.3%
교 81
 
3.1%
포 75
 
2.9%
김 72
 
2.8%
유 62
 
2.4%
Other values (291) 1618
62.8%
Latin
ValueCountFrequency (%)
s 3
13.6%
e 3
13.6%
i 2
 
9.1%
H 2
 
9.1%
C 2
 
9.1%
o 1
 
4.5%
A 1
 
4.5%
S 1
 
4.5%
G 1
 
4.5%
r 1
 
4.5%
Other values (5) 5
22.7%
Common
ValueCountFrequency (%)
( 56
33.7%
) 56
33.7%
49
29.5%
- 3
 
1.8%
3 1
 
0.6%
2 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2576
93.2%
ASCII 188
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 147
 
5.7%
린 118
 
4.6%
어 112
 
4.3%
집 110
 
4.3%
원 97
 
3.8%
학 84
 
3.3%
교 81
 
3.1%
포 75
 
2.9%
김 72
 
2.8%
유 62
 
2.4%
Other values (291) 1618
62.8%
ASCII
ValueCountFrequency (%)
( 56
29.8%
) 56
29.8%
49
26.1%
s 3
 
1.6%
- 3
 
1.6%
e 3
 
1.6%
i 2
 
1.1%
H 2
 
1.1%
C 2
 
1.1%
3 1
 
0.5%
Other values (11) 11
 
5.9%

소재지도로명주소
Text

Distinct360
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-15T08:45:15.120183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length28.909091
Min length18

Characters and Unicode

Total characters10494
Distinct characters260
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique357 ?
Unique (%)98.3%

Sample

1st row경기도 김포시 하성면 석평로165번길 9
2nd row경기도 김포시 하성면 하성로 932
3rd row경기도 김포시 하성면 월하로589번길 90, 라동 2층
4th row경기도 김포시 하성면 월하로 609-1
5th row경기도 김포시 하성면 하성로 330
ValueCountFrequency (%)
김포시 364
 
16.8%
경기도 363
 
16.7%
양촌읍 45
 
2.1%
장기동 43
 
2.0%
1층 42
 
1.9%
고촌읍 38
 
1.8%
풍무동 34
 
1.6%
관리동 29
 
1.3%
구래동 29
 
1.3%
운양동 27
 
1.2%
Other values (628) 1157
53.3%
2024-03-15T08:45:16.975346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1808
 
17.2%
포 541
 
5.2%
김 518
 
4.9%
기 419
 
4.0%
1 396
 
3.8%
시 388
 
3.7%
도 385
 
3.7%
경 367
 
3.5%
로 367
 
3.5%
동 276
 
2.6%
Other values (250) 5029
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6264
59.7%
Space Separator 1808
 
17.2%
Decimal Number 1660
 
15.8%
Open Punctuation 229
 
2.2%
Close Punctuation 228
 
2.2%
Other Punctuation 214
 
2.0%
Dash Punctuation 72
 
0.7%
Uppercase Letter 14
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
포 541
 
8.6%
김 518
 
8.3%
기 419
 
6.7%
시 388
 
6.2%
도 385
 
6.1%
경 367
 
5.9%
로 367
 
5.9%
동 276
 
4.4%
강 137
 
2.2%
한 135
 
2.2%
Other values (225) 2731
43.6%
Decimal Number
ValueCountFrequency (%)
1 396
23.9%
2 243
14.6%
3 189
11.4%
5 138
 
8.3%
4 128
 
7.7%
7 123
 
7.4%
8 118
 
7.1%
0 115
 
6.9%
6 114
 
6.9%
9 96
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
H 4
28.6%
L 4
28.6%
A 2
14.3%
I 1
 
7.1%
K 1
 
7.1%
P 1
 
7.1%
R 1
 
7.1%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
1808
100.0%
Open Punctuation
ValueCountFrequency (%)
( 229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 228
100.0%
Other Punctuation
ValueCountFrequency (%)
, 214
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 72
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6264
59.7%
Common 4213
40.1%
Latin 17
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
포 541
 
8.6%
김 518
 
8.3%
기 419
 
6.7%
시 388
 
6.2%
도 385
 
6.1%
경 367
 
5.9%
로 367
 
5.9%
동 276
 
4.4%
강 137
 
2.2%
한 135
 
2.2%
Other values (225) 2731
43.6%
Common
ValueCountFrequency (%)
1808
42.9%
1 396
 
9.4%
2 243
 
5.8%
( 229
 
5.4%
) 228
 
5.4%
, 214
 
5.1%
3 189
 
4.5%
5 138
 
3.3%
4 128
 
3.0%
7 123
 
2.9%
Other values (6) 517
 
12.3%
Latin
ValueCountFrequency (%)
H 4
23.5%
L 4
23.5%
A 2
11.8%
e 2
11.8%
I 1
 
5.9%
K 1
 
5.9%
P 1
 
5.9%
R 1
 
5.9%
s 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6264
59.7%
ASCII 4230
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1808
42.7%
1 396
 
9.4%
2 243
 
5.7%
( 229
 
5.4%
) 228
 
5.4%
, 214
 
5.1%
3 189
 
4.5%
5 138
 
3.3%
4 128
 
3.0%
7 123
 
2.9%
Other values (15) 534
 
12.6%
Hangul
ValueCountFrequency (%)
포 541
 
8.6%
김 518
 
8.3%
기 419
 
6.7%
시 388
 
6.2%
도 385
 
6.1%
경 367
 
5.9%
로 367
 
5.9%
동 276
 
4.4%
강 137
 
2.2%
한 135
 
2.2%
Other values (225) 2731
43.6%

소재지지번주소
Text

Distinct355
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2024-03-15T08:45:17.803155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length17.550964
Min length8

Characters and Unicode

Total characters6371
Distinct characters245
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

Unique347 ?
Unique (%)95.6%

Sample

1st row하성면 석탄리 324 - 31
2nd row하성면 마조리 158 - 3
3rd row하성면 원산리 278 - 6 외3필지 라동 2층
4th row하성면 원산리 597 - 2
5th row하성면 원산리 441
ValueCountFrequency (%)
226
 
14.0%
1 51
 
3.2%
양촌읍 45
 
2.8%
장기동 43
 
2.7%
고촌읍 38
 
2.4%
풍무동 35
 
2.2%
구래동 30
 
1.9%
2 29
 
1.8%
통진읍 27
 
1.7%
운양동 27
 
1.7%
Other values (534) 1059
65.8%
2024-03-15T08:45:19.223510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1831
28.7%
1 283
 
4.4%
동 254
 
4.0%
- 227
 
3.6%
2 190
 
3.0%
리 188
 
3.0%
6 186
 
2.9%
3 172
 
2.7%
8 154
 
2.4%
4 141
 
2.2%
Other values (235) 2745
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2724
42.8%
Space Separator 1831
28.7%
Decimal Number 1564
24.5%
Dash Punctuation 227
 
3.6%
Uppercase Letter 13
 
0.2%
Open Punctuation 5
 
0.1%
Close Punctuation 4
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 254
 
9.3%
리 188
 
6.9%
읍 110
 
4.0%
양 91
 
3.3%
촌 84
 
3.1%
마 63
 
2.3%
운 55
 
2.0%
지 49
 
1.8%
장 48
 
1.8%
고 46
 
1.7%
Other values (212) 1736
63.7%
Decimal Number
ValueCountFrequency (%)
1 283
18.1%
2 190
12.1%
6 186
11.9%
3 172
11.0%
8 154
9.8%
4 141
9.0%
5 141
9.0%
0 113
 
7.2%
7 108
 
6.9%
9 76
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
23.1%
H 3
23.1%
L 3
23.1%
R 1
 
7.7%
P 1
 
7.7%
I 1
 
7.7%
K 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
1831
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 227
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3631
57.0%
Hangul 2724
42.8%
Latin 16
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 254
 
9.3%
리 188
 
6.9%
읍 110
 
4.0%
양 91
 
3.3%
촌 84
 
3.1%
마 63
 
2.3%
운 55
 
2.0%
지 49
 
1.8%
장 48
 
1.8%
고 46
 
1.7%
Other values (212) 1736
63.7%
Common
ValueCountFrequency (%)
1831
50.4%
1 283
 
7.8%
- 227
 
6.3%
2 190
 
5.2%
6 186
 
5.1%
3 172
 
4.7%
8 154
 
4.2%
4 141
 
3.9%
5 141
 
3.9%
0 113
 
3.1%
Other values (4) 193
 
5.3%
Latin
ValueCountFrequency (%)
A 3
18.8%
H 3
18.8%
L 3
18.8%
e 2
12.5%
R 1
 
6.2%
P 1
 
6.2%
I 1
 
6.2%
K 1
 
6.2%
s 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3647
57.2%
Hangul 2724
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1831
50.2%
1 283
 
7.8%
- 227
 
6.2%
2 190
 
5.2%
6 186
 
5.1%
3 172
 
4.7%
8 154
 
4.2%
4 141
 
3.9%
5 141
 
3.9%
0 113
 
3.1%
Other values (13) 209
 
5.7%
Hangul
ValueCountFrequency (%)
동 254
 
9.3%
리 188
 
6.9%
읍 110
 
4.0%
양 91
 
3.3%
촌 84
 
3.1%
마 63
 
2.3%
운 55
 
2.0%
지 49
 
1.8%
장 48
 
1.8%
고 46
 
1.7%
Other values (212) 1736
63.7%

업소전화번호
Text

MISSING 

Distinct322
Distinct (%)100.0%
Missing41
Missing (%)11.3%
Memory size3.0 KiB
2024-03-15T08:45:20.239465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.130435
Min length12

Characters and Unicode

Total characters3906
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

Unique322 ?
Unique (%)100.0%

Sample

1st row031-988-4658
2nd row031-988-5817
3rd row031 980-0133
4th row031-987-3383
5th row031-988-3334
ValueCountFrequency (%)
031 3
 
0.9%
031-1588-0223 1
 
0.3%
031-985-2792 1
 
0.3%
031-987-1963 1
 
0.3%
031-980-1000 1
 
0.3%
031-988-5507 1
 
0.3%
031-983-8497 1
 
0.3%
031-998-7795 1
 
0.3%
031-997-7618 1
 
0.3%
031-985-0373 1
 
0.3%
Other values (316) 316
96.3%
2024-03-15T08:45:21.739785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 643
16.5%
0 587
15.0%
9 517
13.2%
1 490
12.5%
3 450
11.5%
8 381
9.8%
7 189
 
4.8%
6 189
 
4.8%
2 158
 
4.0%
5 156
 
4.0%
Other values (2) 146
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3257
83.4%
Dash Punctuation 643
 
16.5%
Space Separator 6
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 587
18.0%
9 517
15.9%
1 490
15.0%
3 450
13.8%
8 381
11.7%
7 189
 
5.8%
6 189
 
5.8%
2 158
 
4.9%
5 156
 
4.8%
4 140
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 643
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3906
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 643
16.5%
0 587
15.0%
9 517
13.2%
1 490
12.5%
3 450
11.5%
8 381
9.8%
7 189
 
4.8%
6 189
 
4.8%
2 158
 
4.0%
5 156
 
4.0%
Other values (2) 146
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3906
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 643
16.5%
0 587
15.0%
9 517
13.2%
1 490
12.5%
3 450
11.5%
8 381
9.8%
7 189
 
4.8%
6 189
 
4.8%
2 158
 
4.0%
5 156
 
4.0%
Other values (2) 146
 
3.7%

1일급식인원
Real number (ℝ)

ZEROS 

Distinct173
Distinct (%)47.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean284.87879
Minimum0
Maximum5900
Zeros8
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size3.3 KiB
2024-03-15T08:45:22.160324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53
Q185
median137
Q3300
95-th percentile1027
Maximum5900
Range5900
Interquartile range (IQR)215

Descriptive statistics

Standard deviation445.12994
Coefficient of variation (CV)1.562524
Kurtosis71.839524
Mean284.87879
Median Absolute Deviation (MAD)68
Skewness6.6793754
Sum103411
Variance198140.66
MonotonicityNot monotonic
2024-03-15T08:45:22.613978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80 11
 
3.0%
300 10
 
2.8%
130 10
 
2.8%
200 8
 
2.2%
350 8
 
2.2%
0 8
 
2.2%
100 8
 
2.2%
70 7
 
1.9%
90 7
 
1.9%
160 6
 
1.7%
Other values (163) 280
77.1%
ValueCountFrequency (%)
0 8
2.2%
45 1
 
0.3%
49 2
 
0.6%
50 3
 
0.8%
51 1
 
0.3%
52 3
 
0.8%
53 3
 
0.8%
54 1
 
0.3%
55 2
 
0.6%
56 5
1.4%
ValueCountFrequency (%)
5900 1
0.3%
2500 1
0.3%
1850 1
0.3%
1620 1
0.3%
1600 1
0.3%
1550 1
0.3%
1400 1
0.3%
1398 1
0.3%
1370 1
0.3%
1290 1
0.3%

위탁급식업소명
Text

MISSING 

Distinct59
Distinct (%)100.0%
Missing304
Missing (%)83.7%
Memory size3.0 KiB
2024-03-15T08:45:23.629067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length10.745763
Min length2

Characters and Unicode

Total characters634
Distinct characters156
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

Unique59 ?
Unique (%)100.0%

Sample

1st row푸디스트 주식회사 동일쉘터시스템점
2nd row삼성웰스토리
3rd row(주)웰스프레쉬홈플러스김포점
4th row씨제이프레시웨이
5th row(주)지에스씨푸드 삼양알엠씨점
ValueCountFrequency (%)
주식회사 5
 
5.4%
주)아워홈 3
 
3.3%
김포점 2
 
2.2%
주)지에스씨푸드 2
 
2.2%
아라마크 2
 
2.2%
주)진주랑 2
 
2.2%
본우리집밥 2
 
2.2%
신세계푸드 2
 
2.2%
씨제이프레시웨이 2
 
2.2%
마리나베이서울 1
 
1.1%
Other values (69) 69
75.0%
2024-03-15T08:45:25.009627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
33
 
5.2%
주 28
 
4.4%
스 25
 
3.9%
점 24
 
3.8%
) 23
 
3.6%
( 23
 
3.6%
드 23
 
3.6%
푸 21
 
3.3%
이 18
 
2.8%
포 15
 
2.4%
Other values (146) 401
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 539
85.0%
Space Separator 33
 
5.2%
Close Punctuation 23
 
3.6%
Open Punctuation 23
 
3.6%
Uppercase Letter 11
 
1.7%
Other Symbol 3
 
0.5%
Decimal Number 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 28
 
5.2%
스 25
 
4.6%
점 24
 
4.5%
드 23
 
4.3%
푸 21
 
3.9%
이 18
 
3.3%
포 15
 
2.8%
식 15
 
2.8%
김 15
 
2.8%
아 10
 
1.9%
Other values (132) 345
64.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
18.2%
C 2
18.2%
L 2
18.2%
G 1
9.1%
M 1
9.1%
O 1
9.1%
J 1
9.1%
T 1
9.1%
Space Separator
ValueCountFrequency (%)
33
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 542
85.5%
Common 81
 
12.8%
Latin 11
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 28
 
5.2%
스 25
 
4.6%
점 24
 
4.4%
드 23
 
4.2%
푸 21
 
3.9%
이 18
 
3.3%
포 15
 
2.8%
식 15
 
2.8%
김 15
 
2.8%
아 10
 
1.8%
Other values (133) 348
64.2%
Latin
ValueCountFrequency (%)
S 2
18.2%
C 2
18.2%
L 2
18.2%
G 1
9.1%
M 1
9.1%
O 1
9.1%
J 1
9.1%
T 1
9.1%
Common
ValueCountFrequency (%)
33
40.7%
) 23
28.4%
( 23
28.4%
2 1
 
1.2%
. 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 539
85.0%
ASCII 92
 
14.5%
None 3
 
0.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
33
35.9%
) 23
25.0%
( 23
25.0%
S 2
 
2.2%
C 2
 
2.2%
L 2
 
2.2%
G 1
 
1.1%
2 1
 
1.1%
M 1
 
1.1%
O 1
 
1.1%
Other values (3) 3
 
3.3%
Hangul
ValueCountFrequency (%)
주 28
 
5.2%
스 25
 
4.6%
점 24
 
4.5%
드 23
 
4.3%
푸 21
 
3.9%
이 18
 
3.3%
포 15
 
2.8%
식 15
 
2.8%
김 15
 
2.8%
아 10
 
1.9%
Other values (132) 345
64.0%
None
ValueCountFrequency (%)
㈜ 3
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2024-01-09 00:00:00
Maximum2024-01-09 00:00:00
2024-03-15T08:45:25.361613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:45:25.681971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T08:45:10.380208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:45:25.893107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
1일급식인원위탁급식업소명
1일급식인원1.0001.000
위탁급식업소명1.0001.000

Missing values

2024-03-15T08:45:10.739136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:45:11.177367image/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.
2024-03-15T08:45:11.491009image/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

시군명업소명소재지도로명주소소재지지번주소업소전화번호1일급식인원위탁급식업소명데이터기준일자
0김포시벧엘어린이집경기도 김포시 하성면 석평로165번길 9하성면 석탄리 324 - 31031-988-4658105<NA>2024-01-09
1김포시마조어린이집경기도 김포시 하성면 하성로 932하성면 마조리 158 - 3031-988-581777<NA>2024-01-09
2김포시(주)케이에스엠컴포넌트경기도 김포시 하성면 월하로589번길 90, 라동 2층하성면 원산리 278 - 6 외3필지 라동 2층031 980-0133140<NA>2024-01-09
3김포시(주)아모그린텍경기도 김포시 하성면 월하로 609-1하성면 원산리 597 - 2031-987-3383170<NA>2024-01-09
4김포시동일쉘터시스템경기도 김포시 하성면 하성로 330하성면 원산리 441031-988-333470푸디스트 주식회사 동일쉘터시스템점2024-01-09
5김포시자이안어린이집경기도 김포시 걸포2로 60, 관리동 1층 (걸포동, 한강메트로자이3단지)걸포동 191 한강메트로자이3단지 관리동<NA>165<NA>2024-01-09
6김포시아리유치원경기도 김포시 걸포2로 62, 아리유치원 (걸포동)걸포동 0 아리유치원<NA>299<NA>2024-01-09
7김포시시립걸포자이어린이집경기도 김포시 걸포2로 83, 관리동 (걸포동, 한강메트로자이1단지)걸포동 264 - 4 한강메트로자이1단지 관리동<NA>90<NA>2024-01-09
8김포시시립한강자이어린이집경기도 김포시 걸포2로 74, 관리동 (걸포동, 한강메트로자이2단지)걸포동 180 한강메트로자이2단지<NA>474<NA>2024-01-09
9김포시김포나진초등학교경기도 김포시 걸포2로 58, 김포나진초등학교 (걸포동)걸포동 223 김포나진초등학교031-8049-2100899<NA>2024-01-09
시군명업소명소재지도로명주소소재지지번주소업소전화번호1일급식인원위탁급식업소명데이터기준일자
353김포시(주)지피엠경기도 김포시 양촌읍 학운산단2로 38양촌읍 학운리 3335 외1필지031-986-1385133<NA>2024-01-09
354김포시(주)신안피앤씨경기도 김포시 양촌읍 황금로 163-11, 3층양촌읍 학운리 2951 3층031-983-1111110신안피앤씨 식당2024-01-09
355김포시김포시 보듬이 나눔이 어린이집경기도 김포시 양촌읍 황금로89번길 44양촌읍 학운리 3001031-988-4820109<NA>2024-01-09
356김포시(주)우리별경기도 김포시 양촌읍 황금1로 89양촌읍 학운리 2962031-980-7500160(주)봄푸드서비스2024-01-09
357김포시(주)원태다이캐스팅경기도 김포시 양촌읍 황금1로 62양촌읍 학운리 3028031-981-0371380원태다이캐스팅2024-01-09
358김포시로토크와이티씨(주)경기도 김포시 양촌읍 황금로89번길 81양촌읍 학운리 3022031-980-0613105명성에프에스(로토크와이티씨)2024-01-09
359김포시(주)한양정밀경기도 김포시 양촌읍 황금로89번길 140양촌읍 학운리 3048070-8685-5580500(주)아워홈 한양정밀김포점2024-01-09
360김포시학운초등학교경기도 김포시 양촌읍 황금로70번길 13양촌읍 학운리 2825031-981-7205134<NA>2024-01-09
361김포시(주)양지사경기도 김포시 양촌읍 황금1로 131양촌읍 학운리 2734031-996-0041350<NA>2024-01-09
362김포시김포골드라인운영(주)경기도 김포시 양촌읍 양촌역길 139양촌읍 유현리 58 - 7031-8048-153171주식회사 브라운에프엔비 김포골드라인운영점2024-01-09