Overview

Dataset statistics

Number of variables4
Number of observations336
Missing cells72
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.6 KiB
Average record size in memory32.4 B

Variable types

Categorical1
Text3

Dataset

Description인천광역시 부평구 집단급식소 현황입니다.(업종명,업소명,소재지(도로명),소재지(지번),소재지전화,급식소종류)ex) 집단급식소,산곡여자중학교,인천광역시 부평구 마장로204번길 37 (산곡동),인천광역시 부평구 산곡동 235-4,032-512-6746,학교
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=3045129&srcSe=7661IVAWM27C61E190

Alerts

업종 has constant value ""Constant
소재지(도로명) has 6 (1.8%) missing valuesMissing
업소전화번호 has 66 (19.6%) missing valuesMissing

Reproduction

Analysis started2024-01-28 09:25:10.819476
Analysis finished2024-01-28 09:25:11.255225
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
집단급식소
336 

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 336
100.0%

Length

2024-01-28T18:25:11.305983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:25:11.378634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 336
100.0%

업소명
Text

Distinct335
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2024-01-28T18:25:11.557552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length8.1875
Min length2

Characters and Unicode

Total characters2751
Distinct characters329
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)99.4%

Sample

1st row서희스타힐스 어린이집
2nd row국공립더샵해솔어린이집
3rd row국공립 더샵도담어린이집
4th row국공립 열우물어린이집
5th row열우물숲속실버벨요양원
ValueCountFrequency (%)
어린이집 21
 
5.2%
국공립 4
 
1.0%
주식회사 3
 
0.7%
사회복지법인 3
 
0.7%
인천바오로병원 2
 
0.5%
구립 2
 
0.5%
부평공장 2
 
0.5%
주)와이지-원 2
 
0.5%
인천삼산경찰서 2
 
0.5%
근로복지공단 2
 
0.5%
Other values (356) 363
89.4%
2024-01-28T18:25:11.876024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 132
 
4.8%
어 106
 
3.9%
집 105
 
3.8%
린 104
 
3.8%
원 94
 
3.4%
교 91
 
3.3%
학 89
 
3.2%
부 78
 
2.8%
인 71
 
2.6%
70
 
2.5%
Other values (319) 1811
65.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2545
92.5%
Space Separator 70
 
2.5%
Close Punctuation 44
 
1.6%
Open Punctuation 44
 
1.6%
Decimal Number 20
 
0.7%
Uppercase Letter 13
 
0.5%
Lowercase Letter 9
 
0.3%
Other Punctuation 3
 
0.1%
Dash Punctuation 2
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 132
 
5.2%
어 106
 
4.2%
집 105
 
4.1%
린 104
 
4.1%
원 94
 
3.7%
교 91
 
3.6%
학 89
 
3.5%
부 78
 
3.1%
인 71
 
2.8%
등 62
 
2.4%
Other values (290) 1613
63.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
23.1%
K 2
15.4%
E 1
 
7.7%
B 1
 
7.7%
C 1
 
7.7%
W 1
 
7.7%
Y 1
 
7.7%
I 1
 
7.7%
S 1
 
7.7%
T 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
1 7
35.0%
3 6
30.0%
2 4
20.0%
6 1
 
5.0%
7 1
 
5.0%
4 1
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
r 2
22.2%
t 2
22.2%
a 1
 
11.1%
h 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
& 1
33.3%
, 1
33.3%
! 1
33.3%
Space Separator
ValueCountFrequency (%)
70
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2545
92.5%
Common 183
 
6.7%
Latin 23
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 132
 
5.2%
어 106
 
4.2%
집 105
 
4.1%
린 104
 
4.1%
원 94
 
3.7%
교 91
 
3.6%
학 89
 
3.5%
부 78
 
3.1%
인 71
 
2.8%
등 62
 
2.4%
Other values (290) 1613
63.4%
Latin
ValueCountFrequency (%)
e 3
13.0%
A 3
13.0%
r 2
 
8.7%
K 2
 
8.7%
t 2
 
8.7%
E 1
 
4.3%
Ⅱ 1
 
4.3%
B 1
 
4.3%
C 1
 
4.3%
W 1
 
4.3%
Other values (6) 6
26.1%
Common
ValueCountFrequency (%)
70
38.3%
) 44
24.0%
( 44
24.0%
1 7
 
3.8%
3 6
 
3.3%
2 4
 
2.2%
- 2
 
1.1%
& 1
 
0.5%
6 1
 
0.5%
7 1
 
0.5%
Other values (3) 3
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2545
92.5%
ASCII 205
 
7.5%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 132
 
5.2%
어 106
 
4.2%
집 105
 
4.1%
린 104
 
4.1%
원 94
 
3.7%
교 91
 
3.6%
학 89
 
3.5%
부 78
 
3.1%
인 71
 
2.8%
등 62
 
2.4%
Other values (290) 1613
63.4%
ASCII
ValueCountFrequency (%)
70
34.1%
) 44
21.5%
( 44
21.5%
1 7
 
3.4%
3 6
 
2.9%
2 4
 
2.0%
e 3
 
1.5%
A 3
 
1.5%
- 2
 
1.0%
r 2
 
1.0%
Other values (18) 20
 
9.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(도로명)
Text

MISSING 

Distinct326
Distinct (%)98.8%
Missing6
Missing (%)1.8%
Memory size2.8 KiB
2024-01-28T18:25:12.137923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length47
Mean length30.327273
Min length21

Characters and Unicode

Total characters10008
Distinct characters244
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique323 ?
Unique (%)97.9%

Sample

1st row인천광역시 부평구 상정로 41, 어린이집 1층 일부호 (십정동, 서희스타힐스 부평센트럴)
2nd row인천광역시 부평구 열우물로 90, 어린이집-1동 1층 일부호 (십정동, 더샵부평센트럴시티)
3rd row인천광역시 부평구 열우물로 90, 어린이집-2동 1층 일부호 (십정동, 더샵부평센트럴시티)
4th row인천광역시 부평구 상정로 35 (십정동)
5th row인천광역시 부평구 함봉로42번길 46 (십정동)
ValueCountFrequency (%)
부평구 331
 
16.7%
인천광역시 330
 
16.7%
부평동 67
 
3.4%
청천동 50
 
2.5%
산곡동 46
 
2.3%
일부호 44
 
2.2%
1층 44
 
2.2%
십정동 41
 
2.1%
부개동 35
 
1.8%
삼산동 29
 
1.5%
Other values (528) 960
48.6%
2024-01-28T18:25:12.518778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1647
 
16.5%
부 611
 
6.1%
평 458
 
4.6%
천 406
 
4.1%
동 401
 
4.0%
인 361
 
3.6%
) 345
 
3.4%
( 345
 
3.4%
구 339
 
3.4%
로 339
 
3.4%
Other values (234) 4756
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6008
60.0%
Space Separator 1647
 
16.5%
Decimal Number 1399
 
14.0%
Close Punctuation 345
 
3.4%
Open Punctuation 345
 
3.4%
Other Punctuation 191
 
1.9%
Dash Punctuation 42
 
0.4%
Uppercase Letter 29
 
0.3%
Letter Number 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 611
 
10.2%
평 458
 
7.6%
천 406
 
6.8%
동 401
 
6.7%
인 361
 
6.0%
구 339
 
5.6%
로 339
 
5.6%
시 335
 
5.6%
역 333
 
5.5%
광 331
 
5.5%
Other values (200) 2094
34.9%
Uppercase Letter
ValueCountFrequency (%)
T 3
10.3%
A 3
10.3%
K 3
10.3%
B 3
10.3%
E 2
 
6.9%
H 2
 
6.9%
S 2
 
6.9%
P 2
 
6.9%
L 2
 
6.9%
C 1
 
3.4%
Other values (6) 6
20.7%
Decimal Number
ValueCountFrequency (%)
1 330
23.6%
2 189
13.5%
3 166
11.9%
4 150
10.7%
5 111
 
7.9%
6 105
 
7.5%
7 93
 
6.6%
9 87
 
6.2%
0 84
 
6.0%
8 84
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 189
99.0%
@ 2
 
1.0%
Space Separator
ValueCountFrequency (%)
1647
100.0%
Close Punctuation
ValueCountFrequency (%)
) 345
100.0%
Open Punctuation
ValueCountFrequency (%)
( 345
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6008
60.0%
Common 3970
39.7%
Latin 30
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 611
 
10.2%
평 458
 
7.6%
천 406
 
6.8%
동 401
 
6.7%
인 361
 
6.0%
구 339
 
5.6%
로 339
 
5.6%
시 335
 
5.6%
역 333
 
5.5%
광 331
 
5.5%
Other values (200) 2094
34.9%
Common
ValueCountFrequency (%)
1647
41.5%
) 345
 
8.7%
( 345
 
8.7%
1 330
 
8.3%
2 189
 
4.8%
, 189
 
4.8%
3 166
 
4.2%
4 150
 
3.8%
5 111
 
2.8%
6 105
 
2.6%
Other values (7) 393
 
9.9%
Latin
ValueCountFrequency (%)
T 3
10.0%
A 3
10.0%
K 3
10.0%
B 3
10.0%
E 2
 
6.7%
H 2
 
6.7%
S 2
 
6.7%
P 2
 
6.7%
L 2
 
6.7%
C 1
 
3.3%
Other values (7) 7
23.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6008
60.0%
ASCII 3999
40.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1647
41.2%
) 345
 
8.6%
( 345
 
8.6%
1 330
 
8.3%
2 189
 
4.7%
, 189
 
4.7%
3 166
 
4.2%
4 150
 
3.8%
5 111
 
2.8%
6 105
 
2.6%
Other values (23) 422
 
10.6%
Hangul
ValueCountFrequency (%)
부 611
 
10.2%
평 458
 
7.6%
천 406
 
6.8%
동 401
 
6.7%
인 361
 
6.0%
구 339
 
5.6%
로 339
 
5.6%
시 335
 
5.6%
역 333
 
5.5%
광 331
 
5.5%
Other values (200) 2094
34.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

업소전화번호
Text

MISSING 

Distinct268
Distinct (%)99.3%
Missing66
Missing (%)19.6%
Memory size2.8 KiB
2024-01-28T18:25:12.732063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3240
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

Unique266 ?
Unique (%)98.5%

Sample

1st row032-432-8800
2nd row032-428-5004
3rd row032-421-8664
4th row032-428-7582
5th row032-522-8345
ValueCountFrequency (%)
032-520-2179 2
 
0.7%
032-527-2151 2
 
0.7%
032-510-3202 1
 
0.4%
032-516-2211 1
 
0.4%
032-330-1304 1
 
0.4%
032-503-0033 1
 
0.4%
032-508-9876 1
 
0.4%
032-503-0073 1
 
0.4%
032-526-2363 1
 
0.4%
032-505-7167 1
 
0.4%
Other values (258) 258
95.6%
2024-01-28T18:25:13.051957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 540
16.7%
0 533
16.5%
2 495
15.3%
3 434
13.4%
5 381
11.8%
1 218
6.7%
4 140
 
4.3%
7 137
 
4.2%
8 128
 
4.0%
6 127
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2700
83.3%
Dash Punctuation 540
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 533
19.7%
2 495
18.3%
3 434
16.1%
5 381
14.1%
1 218
8.1%
4 140
 
5.2%
7 137
 
5.1%
8 128
 
4.7%
6 127
 
4.7%
9 107
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 540
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3240
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 540
16.7%
0 533
16.5%
2 495
15.3%
3 434
13.4%
5 381
11.8%
1 218
6.7%
4 140
 
4.3%
7 137
 
4.2%
8 128
 
4.0%
6 127
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3240
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 540
16.7%
0 533
16.5%
2 495
15.3%
3 434
13.4%
5 381
11.8%
1 218
6.7%
4 140
 
4.3%
7 137
 
4.2%
8 128
 
4.0%
6 127
 
3.9%

Missing values

2024-01-28T18:25:11.093149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:25:11.155017image/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.
2024-01-28T18:25:11.219221image/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

업종업소명소재지(도로명)업소전화번호
0집단급식소서희스타힐스 어린이집인천광역시 부평구 상정로 41, 어린이집 1층 일부호 (십정동, 서희스타힐스 부평센트럴)<NA>
1집단급식소국공립더샵해솔어린이집인천광역시 부평구 열우물로 90, 어린이집-1동 1층 일부호 (십정동, 더샵부평센트럴시티)032-432-8800
2집단급식소국공립 더샵도담어린이집인천광역시 부평구 열우물로 90, 어린이집-2동 1층 일부호 (십정동, 더샵부평센트럴시티)<NA>
3집단급식소국공립 열우물어린이집인천광역시 부평구 상정로 35 (십정동)<NA>
4집단급식소열우물숲속실버벨요양원인천광역시 부평구 함봉로42번길 46 (십정동)<NA>
5집단급식소행복한요양원인천광역시 부평구 여우재로26번길 39-1, 1층 일부호 (십정동)<NA>
6집단급식소열린마음 어린이집인천광역시 부평구 열우물로101번길 7-3, 2층 일부호 (십정동)<NA>
7집단급식소헤브론어린이집인천광역시 부평구 백범로488번길 16-3, 2층 일부호 (십정동)032-428-5004
8집단급식소동암예사랑어린이집인천광역시 부평구 동암산로 69, 2층 일부호 (십정동)032-421-8664
9집단급식소노블한방병원인천광역시 부평구 백범로 472, 5층 일부호 (십정동)032-428-7582
업종업소명소재지(도로명)업소전화번호
326집단급식소인천부내초등학교인천광역시 부평구 수변로 129 (부개동,(동수로 461))032-361-8126
327집단급식소일신동어린이집인천광역시 부평구 항동로75번길 36, 인천일신초등학교 1동 1층 일부호 (일신동)0325-0531-78
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332집단급식소샬롬에덴어린이집인천광역시 부평구 일신로13번길 14-1 (일신동)032-502-4688
333집단급식소파인트리홈인천광역시 부평구 일신로 29 (일신동)032-515-8808
334집단급식소신아어린이집인천광역시 부평구 항동로75번길 5 (일신동)032-502-8333
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