Overview

Dataset statistics

Number of variables4
Number of observations54
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory35.4 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description인천광역시 남동구에 위치한 문구점 현황에 대한 데이터로 연번, 문구점명, 소재지(도로명), 데이터기준일자 항목을 제공합니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15090663&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:51:25.474515
Analysis finished2024-03-18 02:51:26.371398
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.5
Minimum1
Maximum54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size618.0 B
2024-03-18T11:51:26.433545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.65
Q114.25
median27.5
Q340.75
95-th percentile51.35
Maximum54
Range53
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation15.732133
Coefficient of variation (CV)0.57207755
Kurtosis-1.2
Mean27.5
Median Absolute Deviation (MAD)13.5
Skewness0
Sum1485
Variance247.5
MonotonicityStrictly increasing
2024-03-18T11:51:26.545990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
42 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
38 1
 
1.9%
Other values (44) 44
81.5%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
54 1
1.9%
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%

문구점명
Text

Distinct53
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-03-18T11:51:26.735921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length5.8888889
Min length3

Characters and Unicode

Total characters318
Distinct characters142
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)96.3%

Sample

1st row페이럴문구센터 인천본점
2nd row드림디포 구월점
3rd row알파 인천논현점
4th row서창문고
5th row하비투유 구월점
ValueCountFrequency (%)
베스트원 2
 
3.2%
구월점 2
 
3.2%
아톰문구 1
 
1.6%
또와미스터케이 1
 
1.6%
남촌점 1
 
1.6%
플랫폼문구 1
 
1.6%
문구나라 1
 
1.6%
아제문구 1
 
1.6%
예쁜소녀문구사 1
 
1.6%
아이조아선물 1
 
1.6%
Other values (51) 51
81.0%
2024-03-18T11:51:27.039208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 37
 
11.6%
문 35
 
11.0%
점 12
 
3.8%
9
 
2.8%
스 9
 
2.8%
인 6
 
1.9%
이 5
 
1.6%
사 5
 
1.6%
피 4
 
1.3%
원 4
 
1.3%
Other values (132) 192
60.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
92.1%
Space Separator 9
 
2.8%
Lowercase Letter 9
 
2.8%
Decimal Number 4
 
1.3%
Uppercase Letter 2
 
0.6%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 37
 
12.6%
문 35
 
11.9%
점 12
 
4.1%
스 9
 
3.1%
인 6
 
2.0%
이 5
 
1.7%
사 5
 
1.7%
피 4
 
1.4%
원 4
 
1.4%
드 4
 
1.4%
Other values (118) 172
58.7%
Lowercase Letter
ValueCountFrequency (%)
e 3
33.3%
y 2
22.2%
r 1
 
11.1%
v 1
 
11.1%
t 1
 
11.1%
h 1
 
11.1%
Decimal Number
ValueCountFrequency (%)
1 1
25.0%
5 1
25.0%
6 1
25.0%
3 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 293
92.1%
Common 14
 
4.4%
Latin 11
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 37
 
12.6%
문 35
 
11.9%
점 12
 
4.1%
스 9
 
3.1%
인 6
 
2.0%
이 5
 
1.7%
사 5
 
1.7%
피 4
 
1.4%
원 4
 
1.4%
드 4
 
1.4%
Other values (118) 172
58.7%
Latin
ValueCountFrequency (%)
e 3
27.3%
y 2
18.2%
L 1
 
9.1%
J 1
 
9.1%
r 1
 
9.1%
v 1
 
9.1%
t 1
 
9.1%
h 1
 
9.1%
Common
ValueCountFrequency (%)
9
64.3%
1 1
 
7.1%
& 1
 
7.1%
5 1
 
7.1%
6 1
 
7.1%
3 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 293
92.1%
ASCII 25
 
7.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 37
 
12.6%
문 35
 
11.9%
점 12
 
4.1%
스 9
 
3.1%
인 6
 
2.0%
이 5
 
1.7%
사 5
 
1.7%
피 4
 
1.4%
원 4
 
1.4%
드 4
 
1.4%
Other values (118) 172
58.7%
ASCII
ValueCountFrequency (%)
9
36.0%
e 3
 
12.0%
y 2
 
8.0%
L 1
 
4.0%
J 1
 
4.0%
1 1
 
4.0%
& 1
 
4.0%
r 1
 
4.0%
v 1
 
4.0%
t 1
 
4.0%
Other values (4) 4
16.0%

소재지(도로명)
Text

UNIQUE 

Distinct54
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size564.0 B
2024-03-18T11:51:27.289089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length30
Mean length21.648148
Min length16

Characters and Unicode

Total characters1169
Distinct characters104
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)100.0%

Sample

1st row인천광역시 남동구 인하로489번길 22 동남빌딩 지하1층
2nd row인천광역시 남동구 용천로 68 (주)발해인터내셔날
3rd row인천광역시 남동구 논고개로123번길 35 칼리오페 2층
4th row인천광역시 남동구 서창남로 51
5th row인천광역시 남동구 예술로 126 2층 208호
ValueCountFrequency (%)
인천광역시 54
22.9%
남동구 54
22.9%
2층 2
 
0.8%
만월북로 2
 
0.8%
논현고잔로109번길 2
 
0.8%
25 2
 
0.8%
만수로50번길 2
 
0.8%
1층 2
 
0.8%
53 2
 
0.8%
39 2
 
0.8%
Other values (110) 112
47.5%
2024-03-18T11:51:27.665967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
182
 
15.6%
남 65
 
5.6%
동 64
 
5.5%
구 61
 
5.2%
인 58
 
5.0%
천 55
 
4.7%
시 54
 
4.6%
역 54
 
4.6%
광 54
 
4.6%
로 54
 
4.6%
Other values (94) 468
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 748
64.0%
Decimal Number 227
 
19.4%
Space Separator 182
 
15.6%
Dash Punctuation 10
 
0.9%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 65
 
8.7%
동 64
 
8.6%
구 61
 
8.2%
인 58
 
7.8%
천 55
 
7.4%
시 54
 
7.2%
역 54
 
7.2%
광 54
 
7.2%
로 54
 
7.2%
번 31
 
4.1%
Other values (80) 198
26.5%
Decimal Number
ValueCountFrequency (%)
1 46
20.3%
2 36
15.9%
3 30
13.2%
5 23
10.1%
4 20
8.8%
6 19
8.4%
9 16
 
7.0%
7 13
 
5.7%
0 12
 
5.3%
8 12
 
5.3%
Space Separator
ValueCountFrequency (%)
182
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 748
64.0%
Common 421
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 65
 
8.7%
동 64
 
8.6%
구 61
 
8.2%
인 58
 
7.8%
천 55
 
7.4%
시 54
 
7.2%
역 54
 
7.2%
광 54
 
7.2%
로 54
 
7.2%
번 31
 
4.1%
Other values (80) 198
26.5%
Common
ValueCountFrequency (%)
182
43.2%
1 46
 
10.9%
2 36
 
8.6%
3 30
 
7.1%
5 23
 
5.5%
4 20
 
4.8%
6 19
 
4.5%
9 16
 
3.8%
7 13
 
3.1%
0 12
 
2.9%
Other values (4) 24
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 748
64.0%
ASCII 421
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
182
43.2%
1 46
 
10.9%
2 36
 
8.6%
3 30
 
7.1%
5 23
 
5.5%
4 20
 
4.8%
6 19
 
4.5%
9 16
 
3.8%
7 13
 
3.1%
0 12
 
2.9%
Other values (4) 24
 
5.7%
Hangul
ValueCountFrequency (%)
남 65
 
8.7%
동 64
 
8.6%
구 61
 
8.2%
인 58
 
7.8%
천 55
 
7.4%
시 54
 
7.2%
역 54
 
7.2%
광 54
 
7.2%
로 54
 
7.2%
번 31
 
4.1%
Other values (80) 198
26.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size564.0 B
2022-12-05
54 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-05
2nd row2022-12-05
3rd row2022-12-05
4th row2022-12-05
5th row2022-12-05

Common Values

ValueCountFrequency (%)
2022-12-05 54
100.0%

Length

2024-03-18T11:51:27.775635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:51:27.845063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-05 54
100.0%

Interactions

2024-03-18T11:51:26.084331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:51:27.889129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번문구점명소재지(도로명)
연번1.0001.0001.000
문구점명1.0001.0001.000
소재지(도로명)1.0001.0001.000

Missing values

2024-03-18T11:51:26.245105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:51:26.339812image/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

연번문구점명소재지(도로명)데이터기준일자
01페이럴문구센터 인천본점인천광역시 남동구 인하로489번길 22 동남빌딩 지하1층2022-12-05
12드림디포 구월점인천광역시 남동구 용천로 68 (주)발해인터내셔날2022-12-05
23알파 인천논현점인천광역시 남동구 논고개로123번길 35 칼리오페 2층2022-12-05
34서창문고인천광역시 남동구 서창남로 512022-12-05
45하비투유 구월점인천광역시 남동구 예술로 126 2층 208호2022-12-05
56인성칠판인천광역시 남동구 백범로 3322022-12-05
67열린문구인천광역시 남동구 함박뫼로 4372022-12-05
78향촌문구완구할인점인천광역시 남동구 만수서로 532022-12-05
89드림오피스 인천남동공단점인천광역시 남동구 남동서로 226 남동공단 공구상가 1층 10호2022-12-05
910문성문구팬시인천광역시 남동구 구월로372번길 392022-12-05
연번문구점명소재지(도로명)데이터기준일자
4445글로버팬시인천광역시 남동구 호구포로764번길 922022-12-05
4546주원문구인천광역시 남동구 경인로561번길 19-92022-12-05
4647영화문구인천광역시 남동구 석산로 1672022-12-05
4748영슈퍼인천광역시 남동구 만월북로 1112022-12-05
4849꿈돌이 문구 철물인천광역시 남동구 이화로30번길 152022-12-05
4950하늘책문구인천광역시 남동구 만수로73번길 20-212022-12-05
5051롯데문구인천광역시 남동구 은청로 162022-12-05
5152모든오피스 남동공단점인천광역시 남동구 앵고개로 712 석준빌딩 1층2022-12-05
5253에어원인천광역시 남동구 만월북로 54 동남정공사2022-12-05
5354호산나문구인천광역시 남동구 문화서로89번길 182022-12-05