Overview

Dataset statistics

Number of variables5
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory45.8 B

Variable types

Numeric2
Text2
Categorical1

Dataset

Description인천광역시 중구 나트륨 줄이기 참여업소 현황입니다. 파일명 인천광역시 중구 나트륨 줄이기 참여업소 내용 업소명, 소재지주소, 지정연도 등
URLhttps://www.data.go.kr/data/15074862/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 지정연도High correlation
지정연도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:22:59.008961
Analysis finished2023-12-12 14:22:59.993513
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T23:23:00.083805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-12T23:23:00.239543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

업소명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T23:23:00.473376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.6571429
Min length2

Characters and Unicode

Total characters233
Distinct characters100
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

Unique35 ?
Unique (%)100.0%

Sample

1st row만다복
2nd row돈비어천가
3rd row씨제이제일제당(주)2공장
4th row해변식당
5th row중구청 직장어린이집
ValueCountFrequency (%)
만다복 1
 
2.8%
갈매기어린이집 1
 
2.8%
아이숲어린이집 1
 
2.8%
구립운남어린이집 1
 
2.8%
구립하늘어린이집 1
 
2.8%
파랑새어린이집 1
 
2.8%
송월어린이집 1
 
2.8%
낙안 1
 
2.8%
구립바다어린이집 1
 
2.8%
탑숯불갈비 1
 
2.8%
Other values (26) 26
72.2%
2023-12-12T23:23:00.898415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 23
 
9.9%
집 21
 
9.0%
어 21
 
9.0%
린 20
 
8.6%
구 12
 
5.2%
립 11
 
4.7%
제 5
 
2.1%
장 3
 
1.3%
미 3
 
1.3%
월 3
 
1.3%
Other values (90) 111
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 226
97.0%
Other Symbol 1
 
0.4%
Space Separator 1
 
0.4%
Decimal Number 1
 
0.4%
Close Punctuation 1
 
0.4%
Open Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%
Lowercase Letter 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 23
 
10.2%
집 21
 
9.3%
어 21
 
9.3%
린 20
 
8.8%
구 12
 
5.3%
립 11
 
4.9%
제 5
 
2.2%
장 3
 
1.3%
미 3
 
1.3%
월 3
 
1.3%
Other values (83) 104
46.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 227
97.4%
Common 5
 
2.1%
Latin 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 23
 
10.1%
집 21
 
9.3%
어 21
 
9.3%
린 20
 
8.8%
구 12
 
5.3%
립 11
 
4.8%
제 5
 
2.2%
장 3
 
1.3%
미 3
 
1.3%
월 3
 
1.3%
Other values (84) 105
46.3%
Common
ValueCountFrequency (%)
1
20.0%
2 1
20.0%
) 1
20.0%
( 1
20.0%
- 1
20.0%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 226
97.0%
ASCII 6
 
2.6%
None 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 23
 
10.2%
집 21
 
9.3%
어 21
 
9.3%
린 20
 
8.8%
구 12
 
5.3%
립 11
 
4.9%
제 5
 
2.2%
장 3
 
1.3%
미 3
 
1.3%
월 3
 
1.3%
Other values (83) 104
46.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%
ASCII
ValueCountFrequency (%)
1
16.7%
2 1
16.7%
) 1
16.7%
( 1
16.7%
- 1
16.7%
e 1
16.7%

소재지주소
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T23:23:01.167992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length33
Mean length28.314286
Min length20

Characters and Unicode

Total characters991
Distinct characters107
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

Unique35 ?
Unique (%)100.0%

Sample

1st row인천광역시 중구 차이나타운로 36 (북성동2가)
2nd row인천광역시 중구 개항로53-1 (내동)
3rd row인천광역시 중구 서해대로140번길 49 (신흥동3가)
4th row인천광역시 중구 연안부두로 17 (항동7가)
5th row인천광역시 중구 신포로39번길 71 (송학동1가)
ValueCountFrequency (%)
인천광역시 35
 
18.6%
중구 35
 
18.6%
차이나타운로 4
 
2.1%
중산동 3
 
1.6%
신흥동1가 3
 
1.6%
운서동 3
 
1.6%
북성동3가 3
 
1.6%
2 2
 
1.1%
도원동 2
 
1.1%
49 2
 
1.1%
Other values (89) 96
51.1%
2023-12-12T23:23:01.689333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
15.4%
1 43
 
4.3%
중 42
 
4.2%
인 38
 
3.8%
동 38
 
3.8%
시 38
 
3.8%
로 35
 
3.5%
( 35
 
3.5%
) 35
 
3.5%
천 35
 
3.5%
Other values (97) 499
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 598
60.3%
Space Separator 153
 
15.4%
Decimal Number 148
 
14.9%
Open Punctuation 35
 
3.5%
Close Punctuation 35
 
3.5%
Other Punctuation 13
 
1.3%
Dash Punctuation 7
 
0.7%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 42
 
7.0%
인 38
 
6.4%
동 38
 
6.4%
시 38
 
6.4%
로 35
 
5.9%
천 35
 
5.9%
광 35
 
5.9%
역 35
 
5.9%
구 35
 
5.9%
길 17
 
2.8%
Other values (79) 250
41.8%
Decimal Number
ValueCountFrequency (%)
1 43
29.1%
3 27
18.2%
2 20
13.5%
4 11
 
7.4%
5 9
 
6.1%
9 9
 
6.1%
6 8
 
5.4%
7 8
 
5.4%
0 8
 
5.4%
8 5
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 12
92.3%
@ 1
 
7.7%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
153
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 598
60.3%
Common 391
39.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 42
 
7.0%
인 38
 
6.4%
동 38
 
6.4%
시 38
 
6.4%
로 35
 
5.9%
천 35
 
5.9%
광 35
 
5.9%
역 35
 
5.9%
구 35
 
5.9%
길 17
 
2.8%
Other values (79) 250
41.8%
Common
ValueCountFrequency (%)
153
39.1%
1 43
 
11.0%
( 35
 
9.0%
) 35
 
9.0%
3 27
 
6.9%
2 20
 
5.1%
, 12
 
3.1%
4 11
 
2.8%
5 9
 
2.3%
9 9
 
2.3%
Other values (6) 37
 
9.5%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 598
60.3%
ASCII 393
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
38.9%
1 43
 
10.9%
( 35
 
8.9%
) 35
 
8.9%
3 27
 
6.9%
2 20
 
5.1%
, 12
 
3.1%
4 11
 
2.8%
5 9
 
2.3%
9 9
 
2.3%
Other values (8) 39
 
9.9%
Hangul
ValueCountFrequency (%)
중 42
 
7.0%
인 38
 
6.4%
동 38
 
6.4%
시 38
 
6.4%
로 35
 
5.9%
천 35
 
5.9%
광 35
 
5.9%
역 35
 
5.9%
구 35
 
5.9%
길 17
 
2.8%
Other values (79) 250
41.8%

지정연도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.4857
Minimum2011
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T23:23:01.872588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2011
5-th percentile2012
Q12015
median2016
Q32018
95-th percentile2021.3
Maximum2022
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9040684
Coefficient of variation (CV)0.0014401632
Kurtosis-0.54597282
Mean2016.4857
Median Absolute Deviation (MAD)2
Skewness0.10337572
Sum70577
Variance8.4336134
MonotonicityIncreasing
2023-12-12T23:23:02.057291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2016 7
20.0%
2017 6
17.1%
2013 5
14.3%
2015 3
8.6%
2018 3
8.6%
2012 2
 
5.7%
2019 2
 
5.7%
2020 2
 
5.7%
2021 2
 
5.7%
2022 2
 
5.7%
ValueCountFrequency (%)
2011 1
 
2.9%
2012 2
 
5.7%
2013 5
14.3%
2015 3
8.6%
2016 7
20.0%
2017 6
17.1%
2018 3
8.6%
2019 2
 
5.7%
2020 2
 
5.7%
2021 2
 
5.7%
ValueCountFrequency (%)
2022 2
 
5.7%
2021 2
 
5.7%
2020 2
 
5.7%
2019 2
 
5.7%
2018 3
8.6%
2017 6
17.1%
2016 7
20.0%
2015 3
8.6%
2013 5
14.3%
2012 2
 
5.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-07-04
35 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-04
2nd row2023-07-04
3rd row2023-07-04
4th row2023-07-04
5th row2023-07-04

Common Values

ValueCountFrequency (%)
2023-07-04 35
100.0%

Length

2023-12-12T23:23:02.241352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:23:02.405080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-04 35
100.0%

Interactions

2023-12-12T23:22:59.519223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:59.253133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:59.676643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:22:59.384727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:23:02.503087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지주소지정연도
연번1.0001.0001.0000.930
업소명1.0001.0001.0001.000
소재지주소1.0001.0001.0001.000
지정연도0.9301.0001.0001.000
2023-12-12T23:23:02.658199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정연도
연번1.0000.991
지정연도0.9911.000

Missing values

2023-12-12T23:22:59.829038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:22:59.938474image/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

연번업소명소재지주소지정연도데이터기준일자
01만다복인천광역시 중구 차이나타운로 36 (북성동2가)20112023-07-04
12돈비어천가인천광역시 중구 개항로53-1 (내동)20122023-07-04
23씨제이제일제당(주)2공장인천광역시 중구 서해대로140번길 49 (신흥동3가)20122023-07-04
34해변식당인천광역시 중구 연안부두로 17 (항동7가)20132023-07-04
45중구청 직장어린이집인천광역시 중구 신포로39번길 71 (송학동1가)20132023-07-04
56구립새희망어린이집인천광역시 중구 제물량로92번길 13-1 (신흥동1가)20132023-07-04
67구립장미어린이집인천광역시 중구 참외전로174번길 12-1 (경동)20132023-07-04
78㈜인천항보안공사인천광역시 중구 서해대로 365 (항동7가)20132023-07-04
89공화춘인천광역시 중구 차이나타운로 43 (북성동3가)20152023-07-04
910갈매기어린이집인천광역시 중구 도산로 21 (도원동)20152023-07-04
연번업소명소재지주소지정연도데이터기준일자
2526구립바다어린이집인천광역시 중구 마시란로 198 (덕교동)20182023-07-04
2627구립비둘기어린이집인천광역시 중구 자유공원서로29번길 3-19 (북성동3가)20182023-07-04
2728아이숲어린이집인천광역시 중구 하늘달빛로 113 관리동 (중산동, 우미린 2단지)20192023-07-04
2829제주솥뚜껑삼겹살인천광역시 중구 신포로31번길 6 (관동3가)20192023-07-04
2930구립월디어린이집인천광역시 중구 제물량로 169 (사동)20202023-07-04
3031구립금산어린이집인천광역시 중구 백운로351번길 3 (운북동)20202023-07-04
3132구립영종국제어린이집인천광역시 중구 영종대로252번길12 (운서동, 영종LH2단지@)20212023-07-04
3233행복가득어린이집인천광역시 중구 은하수로 351 (중산동, 우미린1단지)20212023-07-04
3334등나무인천광역시 중구 신포로 54 (내동)20222023-07-04
3435한옹가인천광역시 중구 남북로6번길 60 (남북동)20222023-07-04