Overview

Dataset statistics

Number of variables6
Number of observations495
Missing cells179
Missing cells (%)6.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory23.8 KiB
Average record size in memory49.3 B

Variable types

Numeric1
Categorical2
Text3

Dataset

Description인천광역시 서구의 집단급식소 현황 정보 (업종명, 업소명, 소재지(도로명, 지번), 전화번호 등) 에 관하여 데이터를 제공합니다.
Author공공데이터포털
URLhttps://www.data.go.kr/data/15089563/fileData.do

Alerts

업종명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지(도로명) has 8 (1.6%) missing valuesMissing
전화번호 has 171 (34.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-04-17 11:20:58.344633
Analysis finished2024-04-17 11:20:59.254014
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct495
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248
Minimum1
Maximum495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-04-17T20:20:59.318712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.7
Q1124.5
median248
Q3371.5
95-th percentile470.3
Maximum495
Range494
Interquartile range (IQR)247

Descriptive statistics

Standard deviation143.03846
Coefficient of variation (CV)0.57676797
Kurtosis-1.2
Mean248
Median Absolute Deviation (MAD)124
Skewness0
Sum122760
Variance20460
MonotonicityStrictly increasing
2024-04-17T20:20:59.441876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
327 1
 
0.2%
340 1
 
0.2%
339 1
 
0.2%
338 1
 
0.2%
337 1
 
0.2%
336 1
 
0.2%
335 1
 
0.2%
334 1
 
0.2%
333 1
 
0.2%
Other values (485) 485
98.0%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
495 1
0.2%
494 1
0.2%
493 1
0.2%
492 1
0.2%
491 1
0.2%
490 1
0.2%
489 1
0.2%
488 1
0.2%
487 1
0.2%
486 1
0.2%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
집단급식소
495 

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 495
100.0%

Length

2024-04-17T20:20:59.560453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:20:59.637600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
집단급식소 495
100.0%
Distinct491
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2024-04-17T20:20:59.827160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length8.4505051
Min length1

Characters and Unicode

Total characters4183
Distinct characters400
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique488 ?
Unique (%)98.6%

Sample

1st row인천디자인고등학교장
2nd row대명아이티에스(주)
3rd row인천청라중학교
4th rowGS칼텍스 윤활유공장
5th row린나이코리아주식회사
ValueCountFrequency (%)
어린이집 15
 
2.5%
주식회사 8
 
1.4%
인천 4
 
0.7%
주)대우건설 3
 
0.5%
구내식당 3
 
0.5%
유치원 3
 
0.5%
쿠팡 3
 
0.5%
구립 2
 
0.3%
학교법인 2
 
0.3%
2
 
0.3%
Other values (530) 545
92.4%
2024-04-17T20:21:00.162602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
180
 
4.3%
134
 
3.2%
127
 
3.0%
125
 
3.0%
124
 
3.0%
( 118
 
2.8%
) 118
 
2.8%
116
 
2.8%
116
 
2.8%
99
 
2.4%
Other values (390) 2926
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3786
90.5%
Open Punctuation 118
 
2.8%
Close Punctuation 118
 
2.8%
Space Separator 95
 
2.3%
Uppercase Letter 38
 
0.9%
Decimal Number 18
 
0.4%
Other Punctuation 4
 
0.1%
Dash Punctuation 3
 
0.1%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
180
 
4.8%
134
 
3.5%
127
 
3.4%
125
 
3.3%
124
 
3.3%
116
 
3.1%
116
 
3.1%
99
 
2.6%
90
 
2.4%
86
 
2.3%
Other values (358) 2589
68.4%
Uppercase Letter
ValueCountFrequency (%)
S 6
15.8%
C 5
13.2%
K 4
10.5%
F 3
7.9%
P 3
7.9%
T 3
7.9%
G 2
 
5.3%
J 2
 
5.3%
A 2
 
5.3%
B 2
 
5.3%
Other values (6) 6
15.8%
Decimal Number
ValueCountFrequency (%)
2 7
38.9%
1 5
27.8%
4 2
 
11.1%
5 1
 
5.6%
6 1
 
5.6%
7 1
 
5.6%
3 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
/ 1
25.0%
& 1
25.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
66.7%
h 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 118
100.0%
Close Punctuation
ValueCountFrequency (%)
) 118
100.0%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3786
90.5%
Common 356
 
8.5%
Latin 41
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
180
 
4.8%
134
 
3.5%
127
 
3.4%
125
 
3.3%
124
 
3.3%
116
 
3.1%
116
 
3.1%
99
 
2.6%
90
 
2.4%
86
 
2.3%
Other values (358) 2589
68.4%
Latin
ValueCountFrequency (%)
S 6
14.6%
C 5
12.2%
K 4
9.8%
F 3
 
7.3%
P 3
 
7.3%
T 3
 
7.3%
G 2
 
4.9%
J 2
 
4.9%
A 2
 
4.9%
B 2
 
4.9%
Other values (8) 9
22.0%
Common
ValueCountFrequency (%)
( 118
33.1%
) 118
33.1%
95
26.7%
2 7
 
2.0%
1 5
 
1.4%
- 3
 
0.8%
. 2
 
0.6%
4 2
 
0.6%
5 1
 
0.3%
/ 1
 
0.3%
Other values (4) 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3786
90.5%
ASCII 397
 
9.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
180
 
4.8%
134
 
3.5%
127
 
3.4%
125
 
3.3%
124
 
3.3%
116
 
3.1%
116
 
3.1%
99
 
2.6%
90
 
2.4%
86
 
2.3%
Other values (358) 2589
68.4%
ASCII
ValueCountFrequency (%)
( 118
29.7%
) 118
29.7%
95
23.9%
2 7
 
1.8%
S 6
 
1.5%
1 5
 
1.3%
C 5
 
1.3%
K 4
 
1.0%
- 3
 
0.8%
F 3
 
0.8%
Other values (22) 33
 
8.3%

소재지(도로명)
Text

MISSING 

Distinct482
Distinct (%)99.0%
Missing8
Missing (%)1.6%
Memory size4.0 KiB
2024-04-17T20:21:00.422785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length49
Mean length31.12115
Min length17

Characters and Unicode

Total characters15156
Distinct characters348
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

Unique479 ?
Unique (%)98.4%

Sample

1st row인천광역시 서구 대평로56번길 10 (연희동)
2nd row인천광역시 서구 가남로 55 (가좌동)
3rd row인천광역시 서구 청라라임로 112 (연희동)
4th row인천광역시 서구 중봉대로 364 (원창동)
5th row인천광역시 서구 가좌로12번길 39 (가좌동)
ValueCountFrequency (%)
인천광역시 488
 
16.1%
서구 488
 
16.1%
1층 99
 
3.3%
가좌동 81
 
2.7%
경서동 48
 
1.6%
오류동 48
 
1.6%
석남동 35
 
1.2%
청라동 31
 
1.0%
원창동 27
 
0.9%
심곡동 26
 
0.9%
Other values (885) 1654
54.7%
2024-04-17T20:21:00.827814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2594
 
17.1%
591
 
3.9%
589
 
3.9%
1 559
 
3.7%
523
 
3.5%
519
 
3.4%
505
 
3.3%
505
 
3.3%
491
 
3.2%
489
 
3.2%
Other values (338) 7791
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8874
58.6%
Space Separator 2594
 
17.1%
Decimal Number 2204
 
14.5%
Open Punctuation 476
 
3.1%
Close Punctuation 476
 
3.1%
Other Punctuation 346
 
2.3%
Dash Punctuation 109
 
0.7%
Uppercase Letter 66
 
0.4%
Lowercase Letter 7
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
591
 
6.7%
589
 
6.6%
523
 
5.9%
519
 
5.8%
505
 
5.7%
505
 
5.7%
491
 
5.5%
489
 
5.5%
457
 
5.1%
216
 
2.4%
Other values (294) 3989
45.0%
Uppercase Letter
ValueCountFrequency (%)
A 16
24.2%
B 11
16.7%
L 9
13.6%
K 4
 
6.1%
C 4
 
6.1%
T 3
 
4.5%
E 3
 
4.5%
P 2
 
3.0%
H 2
 
3.0%
S 2
 
3.0%
Other values (10) 10
15.2%
Decimal Number
ValueCountFrequency (%)
1 559
25.4%
2 302
13.7%
3 255
11.6%
4 213
 
9.7%
5 166
 
7.5%
0 164
 
7.4%
6 155
 
7.0%
7 141
 
6.4%
8 129
 
5.9%
9 120
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
s 1
 
14.3%
r 1
 
14.3%
d 1
 
14.3%
a 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 343
99.1%
. 1
 
0.3%
& 1
 
0.3%
' 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2594
100.0%
Open Punctuation
ValueCountFrequency (%)
( 476
100.0%
Close Punctuation
ValueCountFrequency (%)
) 476
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8874
58.6%
Common 6209
41.0%
Latin 73
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
591
 
6.7%
589
 
6.6%
523
 
5.9%
519
 
5.8%
505
 
5.7%
505
 
5.7%
491
 
5.5%
489
 
5.5%
457
 
5.1%
216
 
2.4%
Other values (294) 3989
45.0%
Latin
ValueCountFrequency (%)
A 16
21.9%
B 11
15.1%
L 9
12.3%
K 4
 
5.5%
C 4
 
5.5%
e 3
 
4.1%
T 3
 
4.1%
E 3
 
4.1%
P 2
 
2.7%
H 2
 
2.7%
Other values (15) 16
21.9%
Common
ValueCountFrequency (%)
2594
41.8%
1 559
 
9.0%
( 476
 
7.7%
) 476
 
7.7%
, 343
 
5.5%
2 302
 
4.9%
3 255
 
4.1%
4 213
 
3.4%
5 166
 
2.7%
0 164
 
2.6%
Other values (9) 661
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8874
58.6%
ASCII 6282
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2594
41.3%
1 559
 
8.9%
( 476
 
7.6%
) 476
 
7.6%
, 343
 
5.5%
2 302
 
4.8%
3 255
 
4.1%
4 213
 
3.4%
5 166
 
2.6%
0 164
 
2.6%
Other values (34) 734
 
11.7%
Hangul
ValueCountFrequency (%)
591
 
6.7%
589
 
6.6%
523
 
5.9%
519
 
5.8%
505
 
5.7%
505
 
5.7%
491
 
5.5%
489
 
5.5%
457
 
5.1%
216
 
2.4%
Other values (294) 3989
45.0%

전화번호
Text

MISSING 

Distinct316
Distinct (%)97.5%
Missing171
Missing (%)34.5%
Memory size4.0 KiB
2024-04-17T20:21:01.054447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.978395
Min length1

Characters and Unicode

Total characters3881
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

Unique311 ?
Unique (%)96.0%

Sample

1st row
2nd row032-710-7016
3rd row032-710-7016
4th row032-563-9200
5th row032-577-2454
ValueCountFrequency (%)
032-562-5101 4
 
1.2%
032-710-7016 3
 
0.9%
032-577-7781 2
 
0.6%
032-570-5227 2
 
0.6%
032-569-1557 2
 
0.6%
032-569-1321 1
 
0.3%
032-569-2391 1
 
0.3%
032-569-5913 1
 
0.3%
032-569-5791 1
 
0.3%
032-569-5692 1
 
0.3%
Other values (305) 305
94.4%
2024-04-17T20:21:01.395012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 646
16.6%
0 588
15.2%
2 508
13.1%
3 475
12.2%
5 418
10.8%
6 277
7.1%
7 264
6.8%
1 246
 
6.3%
8 184
 
4.7%
4 146
 
3.8%
Other values (2) 129
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3234
83.3%
Dash Punctuation 646
 
16.6%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 588
18.2%
2 508
15.7%
3 475
14.7%
5 418
12.9%
6 277
8.6%
7 264
8.2%
1 246
7.6%
8 184
 
5.7%
4 146
 
4.5%
9 128
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 646
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3881
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 646
16.6%
0 588
15.2%
2 508
13.1%
3 475
12.2%
5 418
10.8%
6 277
7.1%
7 264
6.8%
1 246
 
6.3%
8 184
 
4.7%
4 146
 
3.8%
Other values (2) 129
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3881
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 646
16.6%
0 588
15.2%
2 508
13.1%
3 475
12.2%
5 418
10.8%
6 277
7.1%
7 264
6.8%
1 246
 
6.3%
8 184
 
4.7%
4 146
 
3.8%
Other values (2) 129
 
3.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2022-09-06
495 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-06
2nd row2022-09-06
3rd row2022-09-06
4th row2022-09-06
5th row2022-09-06

Common Values

ValueCountFrequency (%)
2022-09-06 495
100.0%

Length

2024-04-17T20:21:01.513755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T20:21:01.592691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-06 495
100.0%

Interactions

2024-04-17T20:20:58.678748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-04-17T20:20:59.056631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-17T20:20:59.139539image/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.
2024-04-17T20:20:59.213728image/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

연번업종명업소명소재지(도로명)전화번호데이터기준일자
01집단급식소인천디자인고등학교장인천광역시 서구 대평로56번길 10 (연희동)2022-09-06
12집단급식소대명아이티에스(주)인천광역시 서구 가남로 55 (가좌동)<NA>2022-09-06
23집단급식소인천청라중학교인천광역시 서구 청라라임로 112 (연희동)<NA>2022-09-06
34집단급식소GS칼텍스 윤활유공장인천광역시 서구 중봉대로 364 (원창동)<NA>2022-09-06
45집단급식소린나이코리아주식회사인천광역시 서구 가좌로12번길 39 (가좌동)<NA>2022-09-06
56집단급식소서령개발인천광역시 서구 경서동 0 청라지구 A34블럭<NA>2022-09-06
67집단급식소금호산업(주)인천광역시 서구 원창동 439<NA>2022-09-06
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