Overview

Dataset statistics

Number of variables4
Number of observations68
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory34.9 B

Variable types

Numeric1
Categorical1
Text2

Dataset

Description인천광역시 부평구 나트륨저감화실천업소 데이터는 업종, 나트륨저감화실천업소명, 업소 소재지에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103338&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 업종High correlation
업종 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
업소명 has unique valuesUnique
소 재 지 has unique valuesUnique

Reproduction

Analysis started2024-01-28 10:19:10.768476
Analysis finished2024-01-28 10:19:11.410011
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.5
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-28T19:19:11.464577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.35
Q117.75
median34.5
Q351.25
95-th percentile64.65
Maximum68
Range67
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation19.77372
Coefficient of variation (CV)0.5731513
Kurtosis-1.2
Mean34.5
Median Absolute Deviation (MAD)17
Skewness0
Sum2346
Variance391
MonotonicityStrictly increasing
2024-01-28T19:19:11.567050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
45 1
 
1.5%
51 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
44 1
 
1.5%
36 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
68 1
1.5%
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%

업종
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
영유아보육시설
41 
학교
14 
일반음식점
10 
집단급식소
 
3

Length

Max length7
Median length7
Mean length5.5882353
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영유아보육시설 41
60.3%
학교 14
 
20.6%
일반음식점 10
 
14.7%
집단급식소 3
 
4.4%

Length

2024-01-28T19:19:11.671947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T19:19:11.769614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영유아보육시설 41
60.3%
학교 14
 
20.6%
일반음식점 10
 
14.7%
집단급식소 3
 
4.4%

업소명
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-01-28T19:19:11.972296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length7.3088235
Min length3

Characters and Unicode

Total characters497
Distinct characters141
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row예쁜우주어린이집
2nd row두산꿈나무어린이집
3rd row파란꿈유치원
4th row갈산초등학교어린이집
5th row산곡3동어린이집
ValueCountFrequency (%)
예쁜우주어린이집 1
 
1.4%
금산추어탕 1
 
1.4%
신예원어린이집 1
 
1.4%
청송유치원 1
 
1.4%
나무와숲어린이집 1
 
1.4%
부평꿈나무어린이집 1
 
1.4%
인천진산초등학교어린이집 1
 
1.4%
제주생삼겹두루치기 1
 
1.4%
두산꿈나무어린이집 1
 
1.4%
산꼼장어 1
 
1.4%
Other values (63) 63
86.3%
2024-01-28T19:19:12.280876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
어 42
 
8.5%
이 40
 
8.0%
린 39
 
7.8%
집 39
 
7.8%
학 17
 
3.4%
교 17
 
3.4%
초 17
 
3.4%
등 17
 
3.4%
산 15
 
3.0%
동 9
 
1.8%
Other values (131) 245
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 480
96.6%
Decimal Number 12
 
2.4%
Space Separator 5
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 42
 
8.8%
이 40
 
8.3%
린 39
 
8.1%
집 39
 
8.1%
학 17
 
3.5%
교 17
 
3.5%
초 17
 
3.5%
등 17
 
3.5%
산 15
 
3.1%
동 9
 
1.9%
Other values (124) 228
47.5%
Decimal Number
ValueCountFrequency (%)
1 3
25.0%
3 3
25.0%
2 3
25.0%
8 1
 
8.3%
9 1
 
8.3%
4 1
 
8.3%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 480
96.6%
Common 17
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 42
 
8.8%
이 40
 
8.3%
린 39
 
8.1%
집 39
 
8.1%
학 17
 
3.5%
교 17
 
3.5%
초 17
 
3.5%
등 17
 
3.5%
산 15
 
3.1%
동 9
 
1.9%
Other values (124) 228
47.5%
Common
ValueCountFrequency (%)
5
29.4%
1 3
17.6%
3 3
17.6%
2 3
17.6%
8 1
 
5.9%
9 1
 
5.9%
4 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 480
96.6%
ASCII 17
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
어 42
 
8.8%
이 40
 
8.3%
린 39
 
8.1%
집 39
 
8.1%
학 17
 
3.5%
교 17
 
3.5%
초 17
 
3.5%
등 17
 
3.5%
산 15
 
3.1%
동 9
 
1.9%
Other values (124) 228
47.5%
ASCII
ValueCountFrequency (%)
5
29.4%
1 3
17.6%
3 3
17.6%
2 3
17.6%
8 1
 
5.9%
9 1
 
5.9%
4 1
 
5.9%

소 재 지
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-01-28T19:19:12.500647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length39
Mean length28.632353
Min length21

Characters and Unicode

Total characters1947
Distinct characters110
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 길주로494번길 26 (청천동)
2nd row인천광역시 부평구 수변로 333 (삼산동, 삼산타운2단지 관리동 1층)
3rd row인천광역시 부평구 갈월동로 45 (갈산동, 두산아파트)
4th row인천광역시 부평구 갈월동로 55 (갈산동)
5th row인천광역시 부평구 경원대로 1269-3 (산곡동)
ValueCountFrequency (%)
인천광역시 68
 
18.7%
부평구 68
 
18.7%
삼산동 13
 
3.6%
산곡동 10
 
2.7%
부평동 9
 
2.5%
청천동 8
 
2.2%
부개동 5
 
1.4%
갈산동 5
 
1.4%
안남로 4
 
1.1%
십정동 4
 
1.1%
Other values (153) 170
46.7%
2024-01-28T19:19:12.830112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
 
15.3%
부 107
 
5.5%
평 91
 
4.7%
동 84
 
4.3%
천 82
 
4.2%
1 75
 
3.9%
인 70
 
3.6%
시 69
 
3.5%
광 68
 
3.5%
역 68
 
3.5%
Other values (100) 936
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1188
61.0%
Space Separator 297
 
15.3%
Decimal Number 296
 
15.2%
Open Punctuation 67
 
3.4%
Close Punctuation 64
 
3.3%
Other Punctuation 21
 
1.1%
Dash Punctuation 14
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 107
 
9.0%
평 91
 
7.7%
동 84
 
7.1%
천 82
 
6.9%
인 70
 
5.9%
시 69
 
5.8%
광 68
 
5.7%
역 68
 
5.7%
구 68
 
5.7%
로 67
 
5.6%
Other values (85) 414
34.8%
Decimal Number
ValueCountFrequency (%)
1 75
25.3%
3 36
12.2%
4 35
11.8%
2 34
11.5%
5 24
 
8.1%
6 19
 
6.4%
9 19
 
6.4%
8 19
 
6.4%
7 19
 
6.4%
0 16
 
5.4%
Space Separator
ValueCountFrequency (%)
297
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1188
61.0%
Common 759
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 107
 
9.0%
평 91
 
7.7%
동 84
 
7.1%
천 82
 
6.9%
인 70
 
5.9%
시 69
 
5.8%
광 68
 
5.7%
역 68
 
5.7%
구 68
 
5.7%
로 67
 
5.6%
Other values (85) 414
34.8%
Common
ValueCountFrequency (%)
297
39.1%
1 75
 
9.9%
( 67
 
8.8%
) 64
 
8.4%
3 36
 
4.7%
4 35
 
4.6%
2 34
 
4.5%
5 24
 
3.2%
, 21
 
2.8%
6 19
 
2.5%
Other values (5) 87
 
11.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1188
61.0%
ASCII 759
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
39.1%
1 75
 
9.9%
( 67
 
8.8%
) 64
 
8.4%
3 36
 
4.7%
4 35
 
4.6%
2 34
 
4.5%
5 24
 
3.2%
, 21
 
2.8%
6 19
 
2.5%
Other values (5) 87
 
11.5%
Hangul
ValueCountFrequency (%)
부 107
 
9.0%
평 91
 
7.7%
동 84
 
7.1%
천 82
 
6.9%
인 70
 
5.9%
시 69
 
5.8%
광 68
 
5.7%
역 68
 
5.7%
구 68
 
5.7%
로 67
 
5.6%
Other values (85) 414
34.8%

Interactions

2024-01-28T19:19:10.987187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T19:19:12.906783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종업소명소 재 지
연번1.0000.9341.0001.000
업종0.9341.0001.0001.000
업소명1.0001.0001.0001.000
소 재 지1.0001.0001.0001.000
2024-01-28T19:19:12.973842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.804
업종0.8041.000

Missing values

2024-01-28T19:19:11.325567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T19:19:11.386264image/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

연번업종업소명소 재 지
01영유아보육시설예쁜우주어린이집인천광역시 부평구 길주로494번길 26 (청천동)
12영유아보육시설두산꿈나무어린이집인천광역시 부평구 수변로 333 (삼산동, 삼산타운2단지 관리동 1층)
23영유아보육시설파란꿈유치원인천광역시 부평구 갈월동로 45 (갈산동, 두산아파트)
34영유아보육시설갈산초등학교어린이집인천광역시 부평구 갈월동로 55 (갈산동)
45영유아보육시설산곡3동어린이집인천광역시 부평구 경원대로 1269-3 (산곡동)
56영유아보육시설목련사랑어린이집인천광역시 부평구 굴포로 105 (삼산동, 삼산타운1단지 관리동 1층)
67영유아보육시설진산초등학교어린이집인천광역시 부평구 굴포로 194-10 (삼산동)
78영유아보육시설예능서머힐어린이집인천광역시 부평구 길주남로 175 (부개동, 상우신명보람아파트)
89영유아보육시설성모병원어린이집인천광역시 부평구 동수로 56 (부평동)
910영유아보육시설하늘정원어린이집인천광역시 부평구 동수로120번길 43 (부평동, 부평엘에이치2단지)
연번업종업소명소 재 지
5859학교부내초등학교인천광역시 부평구 수변로 129 (부개동)
5960학교산곡남초등학교인천광역시 부평구 부흥로144번길 30 (산곡동)
6061학교삼산초등학교인천광역시 부평구 후정동로 44 (삼산동
6162학교마장초등학교인천광역시 부평구 안남로 272 (청천동, 부평1차 금호타운)
6263학교부마초등학교인천광역시 부평구 안남로253번길 41 (산곡동
6364학교후정초등학교인천광역시 부평구 영성서로 56 (삼산동)
6465학교한길초등학교인천광역시 부평구 영성중로 32 (삼산동)
6566학교부원초등학교인천광역시 부평구 원적로472번길 29 (부평동)
6667학교영선초등학교인천광역시 부평구 충선로 293 (삼산동)
6768학교대정초등학교인천광역시 부평구 안남로 115 (산곡동)