Overview

Dataset statistics

Number of variables6
Number of observations165
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory49.8 B

Variable types

Categorical3
Text2
Numeric1

Dataset

Description인천광역시 서구 자전거 시설 현황에 대한 데이터로 유형, 설치위치, 주소, 총보관대수, 공기주입기, 데이터기준일 항목을 제공합니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15102282&srcSe=7661IVAWM27C61E190

Alerts

유형 has constant value ""Constant
데이터기준일 has constant value ""Constant
설치위치 has unique valuesUnique

Reproduction

Analysis started2024-04-17 19:03:58.388653
Analysis finished2024-04-17 19:03:58.783468
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

유형
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
자전거보관함
165 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자전거보관함 165
100.0%

Length

2024-04-18T04:03:58.833406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:03:58.916455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자전거보관함 165
100.0%

설치위치
Text

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-18T04:03:59.042701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length22
Mean length11.460606
Min length3

Characters and Unicode

Total characters1891
Distinct characters199
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

Unique165 ?
Unique (%)100.0%

Sample

1st row2호선 주안국가산단역 1번출구
2nd row2호선 주안국가산단역 2번출구
3rd row2호선 가재울역 1번출구
4th row2호선 가재울역 2번출구
5th row2호선 가재울역 4번출구
ValueCountFrequency (%)
행정복지센터 14
 
4.5%
1번출구 9
 
2.9%
2번출구 8
 
2.6%
아시아드경기장 7
 
2.3%
출구 7
 
2.3%
석남역 7
 
2.3%
버스정류소 6
 
1.9%
4번출구 6
 
1.9%
6
 
1.9%
초은고등학교 5
 
1.6%
Other values (179) 234
75.7%
2024-04-18T04:03:59.288040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
 
7.8%
70
 
3.7%
53
 
2.8%
44
 
2.3%
44
 
2.3%
43
 
2.3%
40
 
2.1%
37
 
2.0%
36
 
1.9%
36
 
1.9%
Other values (189) 1341
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1568
82.9%
Space Separator 147
 
7.8%
Decimal Number 72
 
3.8%
Open Punctuation 27
 
1.4%
Close Punctuation 27
 
1.4%
Dash Punctuation 25
 
1.3%
Uppercase Letter 24
 
1.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
70
 
4.5%
53
 
3.4%
44
 
2.8%
44
 
2.8%
43
 
2.7%
40
 
2.6%
37
 
2.4%
36
 
2.3%
36
 
2.3%
35
 
2.2%
Other values (172) 1130
72.1%
Decimal Number
ValueCountFrequency (%)
2 21
29.2%
1 20
27.8%
3 10
13.9%
4 9
12.5%
7 4
 
5.6%
5 3
 
4.2%
6 2
 
2.8%
0 1
 
1.4%
8 1
 
1.4%
9 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
S 12
50.0%
N 12
50.0%
Space Separator
ValueCountFrequency (%)
147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1568
82.9%
Common 299
 
15.8%
Latin 24
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
70
 
4.5%
53
 
3.4%
44
 
2.8%
44
 
2.8%
43
 
2.7%
40
 
2.6%
37
 
2.4%
36
 
2.3%
36
 
2.3%
35
 
2.2%
Other values (172) 1130
72.1%
Common
ValueCountFrequency (%)
147
49.2%
( 27
 
9.0%
) 27
 
9.0%
- 25
 
8.4%
2 21
 
7.0%
1 20
 
6.7%
3 10
 
3.3%
4 9
 
3.0%
7 4
 
1.3%
5 3
 
1.0%
Other values (5) 6
 
2.0%
Latin
ValueCountFrequency (%)
S 12
50.0%
N 12
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1568
82.9%
ASCII 323
 
17.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
45.5%
( 27
 
8.4%
) 27
 
8.4%
- 25
 
7.7%
2 21
 
6.5%
1 20
 
6.2%
S 12
 
3.7%
N 12
 
3.7%
3 10
 
3.1%
4 9
 
2.8%
Other values (7) 13
 
4.0%
Hangul
ValueCountFrequency (%)
70
 
4.5%
53
 
3.4%
44
 
2.8%
44
 
2.8%
43
 
2.7%
40
 
2.6%
37
 
2.4%
36
 
2.3%
36
 
2.3%
35
 
2.2%
Other values (172) 1130
72.1%

주소
Text

Distinct118
Distinct (%)71.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-04-18T04:03:59.500053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length16.654545
Min length12

Characters and Unicode

Total characters2748
Distinct characters101
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

Unique102 ?
Unique (%)61.8%

Sample

1st row인천광역시 서구 가좌동 606-40
2nd row인천광역시 서구 주안동 1381-6
3rd row인천광역시 서구 가좌동 305-5
4th row인천광역시 서구 열우물로 252
5th row인천광역시 서구 열우물로 249
ValueCountFrequency (%)
서구 170
26.5%
인천광역시 165
25.7%
청중로 12
 
1.9%
경제로 12
 
1.9%
서곶로 11
 
1.7%
봉수대로 10
 
1.6%
826 7
 
1.1%
원당대로 6
 
0.9%
완정로 6
 
0.9%
검단로 5
 
0.8%
Other values (166) 238
37.1%
2024-04-18T04:03:59.794449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
478
17.4%
186
 
6.8%
170
 
6.2%
165
 
6.0%
165
 
6.0%
165
 
6.0%
165
 
6.0%
165
 
6.0%
144
 
5.2%
1 83
 
3.0%
Other values (91) 862
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1770
64.4%
Space Separator 478
 
17.4%
Decimal Number 478
 
17.4%
Dash Punctuation 22
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
186
10.5%
170
9.6%
165
9.3%
165
9.3%
165
9.3%
165
9.3%
165
9.3%
144
 
8.1%
36
 
2.0%
31
 
1.8%
Other values (79) 378
21.4%
Decimal Number
ValueCountFrequency (%)
1 83
17.4%
2 78
16.3%
6 49
10.3%
0 45
9.4%
4 43
9.0%
5 38
7.9%
3 37
7.7%
9 36
7.5%
8 35
7.3%
7 34
7.1%
Space Separator
ValueCountFrequency (%)
478
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1770
64.4%
Common 978
35.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
186
10.5%
170
9.6%
165
9.3%
165
9.3%
165
9.3%
165
9.3%
165
9.3%
144
 
8.1%
36
 
2.0%
31
 
1.8%
Other values (79) 378
21.4%
Common
ValueCountFrequency (%)
478
48.9%
1 83
 
8.5%
2 78
 
8.0%
6 49
 
5.0%
0 45
 
4.6%
4 43
 
4.4%
5 38
 
3.9%
3 37
 
3.8%
9 36
 
3.7%
8 35
 
3.6%
Other values (2) 56
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1770
64.4%
ASCII 978
35.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
478
48.9%
1 83
 
8.5%
2 78
 
8.0%
6 49
 
5.0%
0 45
 
4.6%
4 43
 
4.4%
5 38
 
3.9%
3 37
 
3.8%
9 36
 
3.7%
8 35
 
3.6%
Other values (2) 56
 
5.7%
Hangul
ValueCountFrequency (%)
186
10.5%
170
9.6%
165
9.3%
165
9.3%
165
9.3%
165
9.3%
165
9.3%
144
 
8.1%
36
 
2.0%
31
 
1.8%
Other values (79) 378
21.4%

총보관대수
Real number (ℝ)

Distinct33
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.224242
Minimum2
Maximum180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-04-18T04:03:59.896659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5
Q110
median10
Q320
95-th percentile50
Maximum180
Range178
Interquartile range (IQR)10

Descriptive statistics

Standard deviation21.09339
Coefficient of variation (CV)1.1574358
Kurtosis24.054173
Mean18.224242
Median Absolute Deviation (MAD)3
Skewness4.1874235
Sum3007
Variance444.93112
MonotonicityNot monotonic
2024-04-18T04:03:59.989760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
10 70
42.4%
20 22
 
13.3%
5 13
 
7.9%
7 12
 
7.3%
40 6
 
3.6%
8 5
 
3.0%
30 3
 
1.8%
60 3
 
1.8%
25 3
 
1.8%
50 3
 
1.8%
Other values (23) 25
 
15.2%
ValueCountFrequency (%)
2 1
 
0.6%
4 1
 
0.6%
5 13
 
7.9%
6 1
 
0.6%
7 12
 
7.3%
8 5
 
3.0%
9 2
 
1.2%
10 70
42.4%
12 1
 
0.6%
13 1
 
0.6%
ValueCountFrequency (%)
180 1
 
0.6%
110 1
 
0.6%
104 1
 
0.6%
80 1
 
0.6%
70 1
 
0.6%
60 3
1.8%
50 3
1.8%
49 1
 
0.6%
48 1
 
0.6%
40 6
3.6%
Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
146 
19 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
146
88.5%
19
 
11.5%

Length

2024-04-18T04:04:00.092689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:04:00.167863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
146
88.5%
19
 
11.5%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-07-07
165 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2023-07-07 165
100.0%

Length

2024-04-18T04:04:00.470191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T04:04:00.542655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-07 165
100.0%

Interactions

2024-04-18T04:03:58.581615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T04:04:00.587309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총보관대수공기주입기유무
총보관대수1.0000.342
공기주입기유무0.3421.000
2024-04-18T04:04:00.647211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총보관대수공기주입기유무
총보관대수1.0000.251
공기주입기유무0.2511.000

Missing values

2024-04-18T04:03:58.676389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T04:03:58.752341image/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

유형설치위치주소총보관대수공기주입기유무데이터기준일
0자전거보관함2호선 주안국가산단역 1번출구인천광역시 서구 가좌동 606-40102023-07-07
1자전거보관함2호선 주안국가산단역 2번출구인천광역시 서구 주안동 1381-6102023-07-07
2자전거보관함2호선 가재울역 1번출구인천광역시 서구 가좌동 305-5102023-07-07
3자전거보관함2호선 가재울역 2번출구인천광역시 서구 열우물로 252102023-07-07
4자전거보관함2호선 가재울역 4번출구인천광역시 서구 열우물로 249202023-07-07
5자전거보관함가좌119 안전센터인천광역시 서구 백범로678번길 1752023-07-07
6자전거보관함가좌4동 행정복지센터인천광역시 서구 장고개로280번길 1472023-07-07
7자전거보관함가좌3동 행정복지센터인천광역시 서구 원적로57번길 452023-07-07
8자전거보관함가좌2동 행정복지센터인천광역시 서구 장고개로309번길 4102023-07-07
9자전거보관함서부여성회관인천광역시 서구 서달로 12102023-07-07
유형설치위치주소총보관대수공기주입기유무데이터기준일
155자전거보관함청라 파크자이 더 테라스 앞인천광역시 서구 청라동 105-222023-07-07
156자전거보관함청라고등학교인천광역시 서구 담지로86번길 16-14252023-07-07
157자전거보관함용머리공원인천광역시 서구 청라동 137-3482023-07-07
158자전거보관함인천녹청자박물관인천광역시 서구 도요지로 54102023-07-07
159자전거보관함청라국제입구 사거리인천광역시 서구 가정동 604-2202023-07-07
160자전거보관함백범로인천광역시 서구 백범로934번길 452023-07-07
161자전거보관함청라호수공원 내인천광역시 서구 청라대로 204202023-07-07
162자전거보관함경서1공원인천광역시 서구 오류동 1579-1142023-07-07
163자전거보관함가원초인천광역시 서구 청중로478번길 6502023-07-07
164자전거보관함서구국민체육센터인천광역시 서구 승학로 525402023-07-07