Overview

Dataset statistics

Number of variables5
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory46.1 B

Variable types

Categorical2
Text1
Numeric2

Dataset

Description인천광역시 미추홀구 자전거 시설 현황에 대한 데이터로 유형, 설치위치, 조수, 주차대수, 공기주입기수 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15051596&srcSe=7661IVAWM27C61E190

Alerts

유형 has constant value ""Constant
조수 is highly overall correlated with 주차대수High correlation
주차대수 is highly overall correlated with 조수High correlation
조수 has 1 (2.3%) zerosZeros
주차대수 has 1 (2.3%) zerosZeros

Reproduction

Analysis started2024-01-28 13:42:00.136042
Analysis finished2024-01-28 13:42:00.735347
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
자전거보관대
43 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자전거보관대 43
100.0%

Length

2024-01-28T22:42:00.797202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:42:00.874547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자전거보관대 43
100.0%

설치위치
Text

Distinct42
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-28T22:42:01.023760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length7.8372093
Min length3

Characters and Unicode

Total characters337
Distinct characters83
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)95.3%

Sample

1st row선인고등학교
2nd row제물포역 북광장
3rd row도화역 북광장
4th row주안역 북광장
5th row주안역 북광장
ValueCountFrequency (%)
주민센터 14
 
19.2%
북광장 4
 
5.5%
앞 4
 
5.5%
남광장 4
 
5.5%
주안역 3
 
4.1%
도화역 2
 
2.7%
제물포역 2
 
2.7%
주안8동 1
 
1.4%
학익2동 1
 
1.4%
남구청 1
 
1.4%
Other values (37) 37
50.7%
2024-01-28T22:42:01.326633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30
 
8.9%
주 24
 
7.1%
터 16
 
4.7%
동 16
 
4.7%
센 15
 
4.5%
학 14
 
4.2%
교 14
 
4.2%
민 14
 
4.2%
역 11
 
3.3%
안 10
 
3.0%
Other values (73) 173
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 287
85.2%
Space Separator 30
 
8.9%
Decimal Number 16
 
4.7%
Other Punctuation 4
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 24
 
8.4%
터 16
 
5.6%
동 16
 
5.6%
센 15
 
5.2%
학 14
 
4.9%
교 14
 
4.9%
민 14
 
4.9%
역 11
 
3.8%
안 10
 
3.5%
등 9
 
3.1%
Other values (63) 144
50.2%
Decimal Number
ValueCountFrequency (%)
1 4
25.0%
2 3
18.8%
3 3
18.8%
4 2
12.5%
5 2
12.5%
6 1
 
6.2%
8 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
, 1
 
25.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 287
85.2%
Common 50
 
14.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 24
 
8.4%
터 16
 
5.6%
동 16
 
5.6%
센 15
 
5.2%
학 14
 
4.9%
교 14
 
4.9%
민 14
 
4.9%
역 11
 
3.8%
안 10
 
3.5%
등 9
 
3.1%
Other values (63) 144
50.2%
Common
ValueCountFrequency (%)
30
60.0%
1 4
 
8.0%
2 3
 
6.0%
. 3
 
6.0%
3 3
 
6.0%
4 2
 
4.0%
5 2
 
4.0%
6 1
 
2.0%
8 1
 
2.0%
, 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 287
85.2%
ASCII 50
 
14.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30
60.0%
1 4
 
8.0%
2 3
 
6.0%
. 3
 
6.0%
3 3
 
6.0%
4 2
 
4.0%
5 2
 
4.0%
6 1
 
2.0%
8 1
 
2.0%
, 1
 
2.0%
Hangul
ValueCountFrequency (%)
주 24
 
8.4%
터 16
 
5.6%
동 16
 
5.6%
센 15
 
5.2%
학 14
 
4.9%
교 14
 
4.9%
민 14
 
4.9%
역 11
 
3.8%
안 10
 
3.5%
등 9
 
3.1%
Other values (63) 144
50.2%

조수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct11
Distinct (%)25.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.9069767
Minimum0
Maximum10
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-01-28T22:42:01.425628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median2
Q34
95-th percentile7.9
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.3985507
Coefficient of variation (CV)0.82510144
Kurtosis1.2620692
Mean2.9069767
Median Absolute Deviation (MAD)1
Skewness1.3200593
Sum125
Variance5.7530454
MonotonicityNot monotonic
2024-01-28T22:42:01.520159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 17
39.5%
3 7
16.3%
2 5
 
11.6%
4 4
 
9.3%
5 3
 
7.0%
6 2
 
4.7%
10 1
 
2.3%
7 1
 
2.3%
9 1
 
2.3%
8 1
 
2.3%
ValueCountFrequency (%)
0 1
 
2.3%
1 17
39.5%
2 5
 
11.6%
3 7
16.3%
4 4
 
9.3%
5 3
 
7.0%
6 2
 
4.7%
7 1
 
2.3%
8 1
 
2.3%
9 1
 
2.3%
ValueCountFrequency (%)
10 1
 
2.3%
9 1
 
2.3%
8 1
 
2.3%
7 1
 
2.3%
6 2
 
4.7%
5 3
 
7.0%
4 4
 
9.3%
3 7
16.3%
2 5
 
11.6%
1 17
39.5%

주차대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.325581
Minimum0
Maximum72
Zeros1
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size519.0 B
2024-01-28T22:42:01.625034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18.5
median20
Q332.5
95-th percentile59.2
Maximum72
Range72
Interquartile range (IQR)24

Descriptive statistics

Standard deviation18.727012
Coefficient of variation (CV)0.8388141
Kurtosis0.52861615
Mean22.325581
Median Absolute Deviation (MAD)13
Skewness1.1735717
Sum960
Variance350.701
MonotonicityNot monotonic
2024-01-28T22:42:01.723207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10 10
23.3%
7 7
16.3%
20 5
11.6%
21 3
 
7.0%
5 3
 
7.0%
35 2
 
4.7%
30 2
 
4.7%
41 1
 
2.3%
0 1
 
2.3%
60 1
 
2.3%
Other values (8) 8
18.6%
ValueCountFrequency (%)
0 1
 
2.3%
5 3
 
7.0%
7 7
16.3%
10 10
23.3%
20 5
11.6%
21 3
 
7.0%
24 1
 
2.3%
30 2
 
4.7%
35 2
 
4.7%
40 1
 
2.3%
ValueCountFrequency (%)
72 1
2.3%
70 1
2.3%
60 1
2.3%
52 1
2.3%
50 1
2.3%
49 1
2.3%
45 1
2.3%
41 1
2.3%
40 1
2.3%
35 2
4.7%

공기주입기수
Categorical

Distinct3
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
1
21 
0
20 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 21
48.8%
0 20
46.5%
2 2
 
4.7%

Length

2024-01-28T22:42:01.824282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T22:42:01.912381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
48.8%
0 20
46.5%
2 2
 
4.7%

Interactions

2024-01-28T22:42:00.454779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:42:00.306466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:42:00.524886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T22:42:00.382245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T22:42:01.978154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치위치조수주차대수공기주입기수
설치위치1.0000.6980.9331.000
조수0.6981.0000.9270.692
주차대수0.9330.9271.0000.630
공기주입기수1.0000.6920.6301.000
2024-01-28T22:42:02.069595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
조수주차대수공기주입기수
조수1.0000.9330.000
주차대수0.9331.0000.427
공기주입기수0.0000.4271.000

Missing values

2024-01-28T22:42:00.619187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T22:42:00.699084image/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

유형설치위치조수주차대수공기주입기수
0자전거보관대선인고등학교4400
1자전거보관대제물포역 북광장10700
2자전거보관대도화역 북광장7490
3자전거보관대주안역 북광장9450
4자전거보관대주안역 북광장4200
5자전거보관대석암고가교 하부170
6자전거보관대간석역 남광장3210
7자전거보관대주안역 남광장6720
8자전거보관대도화역 남광장8520
9자전거보관대제물포역 남광장5351
유형설치위치조수주차대수공기주입기수
33자전거보관대학익2동 주민센터2101
34자전거보관대숭의1.3동 주민센터1101
35자전거보관대용현1.4동 주민센터151
36자전거보관대용현5동 주민센터151
37자전거보관대관교동 주민센터171
38자전거보관대도화1동 주민센터 앞1100
39자전거보관대도화2.3동 주민센터151
40자전거보관대학익고등학교4201
41자전거보관대관교중학교6601
42자전거보관대인하대역002