Overview

Dataset statistics

Number of variables11
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory96.0 B

Variable types

Text4
Categorical4
DateTime1
Numeric2

Dataset

Description서울특별시 성북구 공구대여소 현황으로 대여소명, 주소, 전화번호, 비치공구류, 운영시간, 대여료, 대여기간에 대한 데이터를 제공합니다.
Author서울특별시 성북구
URLhttps://www.data.go.kr/data/15098015/fileData.do

Alerts

비치공구류 has constant value ""Constant
대여기간 has constant value ""Constant
기준일자 has constant value ""Constant
운영시간 is highly imbalanced (73.3%)Imbalance
대여료 is highly imbalanced (73.3%)Imbalance
공구대여소 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2024-04-17 15:58:07.972304
Analysis finished2024-04-17 15:58:08.723265
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공구대여소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-18T00:58:08.837079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.7272727
Min length7

Characters and Unicode

Total characters170
Distinct characters40
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

Unique22 ?
Unique (%)100.0%

Sample

1st row성북동주민센터
2nd row삼선동주민센터
3rd row동선동주민센터
4th row돈암1동주민센터
5th row돈암2동주민센터
ValueCountFrequency (%)
성북동주민센터 1
 
4.0%
종암동주민센터 1
 
4.0%
문화의 1
 
4.0%
청소년 1
 
4.0%
건축과 1
 
4.0%
성북구청 1
 
4.0%
석관동주민센터 1
 
4.0%
장위3동주민센터 1
 
4.0%
장위2동주민센터 1
 
4.0%
장위1동주민센터 1
 
4.0%
Other values (15) 15
60.0%
2024-04-18T00:58:09.109237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 21
12.4%
주 20
11.8%
민 20
11.8%
센 20
11.8%
터 20
11.8%
1 5
 
2.9%
2 5
 
2.9%
릉 4
 
2.4%
정 4
 
2.4%
암 4
 
2.4%
Other values (30) 47
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
90.6%
Decimal Number 13
 
7.6%
Space Separator 3
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 21
13.6%
주 20
13.0%
민 20
13.0%
센 20
13.0%
터 20
13.0%
릉 4
 
2.6%
정 4
 
2.6%
암 4
 
2.6%
위 3
 
1.9%
장 3
 
1.9%
Other values (25) 35
22.7%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
2 5
38.5%
3 2
 
15.4%
4 1
 
7.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
90.6%
Common 16
 
9.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 21
13.6%
주 20
13.0%
민 20
13.0%
센 20
13.0%
터 20
13.0%
릉 4
 
2.6%
정 4
 
2.6%
암 4
 
2.6%
위 3
 
1.9%
장 3
 
1.9%
Other values (25) 35
22.7%
Common
ValueCountFrequency (%)
1 5
31.2%
2 5
31.2%
3
18.8%
3 2
 
12.5%
4 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
90.6%
ASCII 16
 
9.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 21
13.6%
주 20
13.0%
민 20
13.0%
센 20
13.0%
터 20
13.0%
릉 4
 
2.6%
정 4
 
2.6%
암 4
 
2.6%
위 3
 
1.9%
장 3
 
1.9%
Other values (25) 35
22.7%
ASCII
ValueCountFrequency (%)
1 5
31.2%
2 5
31.2%
3
18.8%
3 2
 
12.5%
4 1
 
6.2%

주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-18T00:58:09.271562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20.5
Mean length18.727273
Min length16

Characters and Unicode

Total characters412
Distinct characters62
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row서울특별시 성북구 성북로 37
2nd row서울특별시 성북구 보문로 190
3rd row서울특별시 성북구 동소문로26길 27
4th row서울특별시 성북구 정릉로48길 35 서라벌아파트 3층
5th row서울특별시 성북구 흥천사길 7
ValueCountFrequency (%)
서울특별시 22
24.4%
성북구 21
23.3%
보문로 2
 
2.2%
35 2
 
2.2%
화랑로 2
 
2.2%
정릉4동 1
 
1.1%
152 1
 
1.1%
92 1
 
1.1%
삼양로2길 1
 
1.1%
70 1
 
1.1%
Other values (36) 36
40.0%
2024-04-18T00:58:09.586415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
77
18.7%
서 23
 
5.6%
울 22
 
5.3%
특 22
 
5.3%
별 22
 
5.3%
시 22
 
5.3%
성 22
 
5.3%
북 22
 
5.3%
구 21
 
5.1%
로 20
 
4.9%
Other values (52) 139
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 262
63.6%
Space Separator 77
 
18.7%
Decimal Number 68
 
16.5%
Dash Punctuation 4
 
1.0%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 23
8.8%
울 22
 
8.4%
특 22
 
8.4%
별 22
 
8.4%
시 22
 
8.4%
성 22
 
8.4%
북 22
 
8.4%
구 21
 
8.0%
로 20
 
7.6%
길 10
 
3.8%
Other values (39) 56
21.4%
Decimal Number
ValueCountFrequency (%)
2 11
16.2%
6 11
16.2%
1 10
14.7%
3 9
13.2%
7 6
8.8%
9 5
7.4%
8 5
7.4%
5 4
 
5.9%
4 4
 
5.9%
0 3
 
4.4%
Space Separator
ValueCountFrequency (%)
77
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 262
63.6%
Common 150
36.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 23
8.8%
울 22
 
8.4%
특 22
 
8.4%
별 22
 
8.4%
시 22
 
8.4%
성 22
 
8.4%
북 22
 
8.4%
구 21
 
8.0%
로 20
 
7.6%
길 10
 
3.8%
Other values (39) 56
21.4%
Common
ValueCountFrequency (%)
77
51.3%
2 11
 
7.3%
6 11
 
7.3%
1 10
 
6.7%
3 9
 
6.0%
7 6
 
4.0%
9 5
 
3.3%
8 5
 
3.3%
5 4
 
2.7%
4 4
 
2.7%
Other values (3) 8
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 262
63.6%
ASCII 150
36.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
77
51.3%
2 11
 
7.3%
6 11
 
7.3%
1 10
 
6.7%
3 9
 
6.0%
7 6
 
4.0%
9 5
 
3.3%
8 5
 
3.3%
5 4
 
2.7%
4 4
 
2.7%
Other values (3) 8
 
5.3%
Hangul
ValueCountFrequency (%)
서 23
8.8%
울 22
 
8.4%
특 22
 
8.4%
별 22
 
8.4%
시 22
 
8.4%
성 22
 
8.4%
북 22
 
8.4%
구 21
 
8.0%
로 20
 
7.6%
길 10
 
3.8%
Other values (39) 56
21.4%

전화번호
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-18T00:58:09.740230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.954545
Min length11

Characters and Unicode

Total characters263
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row02-2241-5029
2nd row02-2241-5045
3rd row02-2241-5098
4th row02-2241-5123
5th row02-2241-5164
ValueCountFrequency (%)
02-2241-5029 1
 
4.5%
02-2241-5045 1
 
4.5%
02-2241-2928 1
 
4.5%
02-2241-5775 1
 
4.5%
02-2241-5728 1
 
4.5%
02-2241-5709 1
 
4.5%
02-2241-5645 1
 
4.5%
02-2241-5602 1
 
4.5%
02-2241-5592 1
 
4.5%
02-2241-5523 1
 
4.5%
Other values (12) 12
54.5%
2024-04-18T00:58:09.981446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 77
29.3%
- 44
16.7%
4 30
 
11.4%
0 29
 
11.0%
5 27
 
10.3%
1 24
 
9.1%
6 10
 
3.8%
9 8
 
3.0%
8 5
 
1.9%
7 5
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 219
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 77
35.2%
4 30
 
13.7%
0 29
 
13.2%
5 27
 
12.3%
1 24
 
11.0%
6 10
 
4.6%
9 8
 
3.7%
8 5
 
2.3%
7 5
 
2.3%
3 4
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 263
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 77
29.3%
- 44
16.7%
4 30
 
11.4%
0 29
 
11.0%
5 27
 
10.3%
1 24
 
9.1%
6 10
 
3.8%
9 8
 
3.0%
8 5
 
1.9%
7 5
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 263
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 77
29.3%
- 44
16.7%
4 30
 
11.4%
0 29
 
11.0%
5 27
 
10.3%
1 24
 
9.1%
6 10
 
3.8%
9 8
 
3.0%
8 5
 
1.9%
7 5
 
1.9%

비치공구류
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
가정용 공구세트+드릴 등
22 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가정용 공구세트+드릴 등
2nd row가정용 공구세트+드릴 등
3rd row가정용 공구세트+드릴 등
4th row가정용 공구세트+드릴 등
5th row가정용 공구세트+드릴 등

Common Values

ValueCountFrequency (%)
가정용 공구세트+드릴 등 22
100.0%

Length

2024-04-18T00:58:10.084374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:58:10.157810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가정용 22
33.3%
공구세트+드릴 22
33.3%
등 22
33.3%

운영시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
월~금 09:00~18:00 (휴관일 제외)
21 
화~토 09:00~21:00, 일 09:00~18:00 (휴관일 제외)
 
1

Length

Max length39
Median length24
Mean length24.681818
Min length24

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row월~금 09:00~18:00 (휴관일 제외)
2nd row월~금 09:00~18:00 (휴관일 제외)
3rd row월~금 09:00~18:00 (휴관일 제외)
4th row월~금 09:00~18:00 (휴관일 제외)
5th row월~금 09:00~18:00 (휴관일 제외)

Common Values

ValueCountFrequency (%)
월~금 09:00~18:00 (휴관일 제외) 21
95.5%
화~토 09:00~21:00, 일 09:00~18:00 (휴관일 제외) 1
 
4.5%

Length

2024-04-18T00:58:10.238428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:58:10.317822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00~18:00 22
24.4%
휴관일 22
24.4%
제외 22
24.4%
월~금 21
23.3%
화~토 1
 
1.1%
09:00~21:00 1
 
1.1%
일 1
 
1.1%

대여료
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
1000원 ~ 2000원
21 
무료
 
1

Length

Max length13
Median length13
Mean length12.5
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row1000원 ~ 2000원
2nd row1000원 ~ 2000원
3rd row1000원 ~ 2000원
4th row1000원 ~ 2000원
5th row1000원 ~ 2000원

Common Values

ValueCountFrequency (%)
1000원 ~ 2000원 21
95.5%
무료 1
 
4.5%

Length

2024-04-18T00:58:10.396217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:58:10.482662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1000원 21
32.8%
21
32.8%
2000원 21
32.8%
무료 1
 
1.6%

대여기간
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2박3일
22 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2박3일
2nd row2박3일
3rd row2박3일
4th row2박3일
5th row2박3일

Common Values

ValueCountFrequency (%)
2박3일 22
100.0%

Length

2024-04-18T00:58:10.578983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T00:58:10.668971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2박3일 22
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2024-04-01 00:00:00
Maximum2024-04-01 00:00:00
2024-04-18T00:58:10.746328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:58:10.821940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

위도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.603123
Minimum37.58052
Maximum37.616724
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-18T00:58:10.896461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.58052
5-th percentile37.586198
Q137.595407
median37.604787
Q337.611949
95-th percentile37.615928
Maximum37.616724
Range0.036204
Interquartile range (IQR)0.01654187

Descriptive statistics

Standard deviation0.010690708
Coefficient of variation (CV)0.00028430373
Kurtosis-0.72879995
Mean37.603123
Median Absolute Deviation (MAD)0.007893115
Skewness-0.57363186
Sum827.2687
Variance0.00011429123
MonotonicityNot monotonic
2024-04-18T00:58:10.988349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
37.59105175 1
 
4.5%
37.60694 1
 
4.5%
37.615943 1
 
4.5%
37.589633 1
 
4.5%
37.61297096 1
 
4.5%
37.616724 1
 
4.5%
37.61239016 1
 
4.5%
37.61406942 1
 
4.5%
37.60497289 1
 
4.5%
37.61053624 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
37.58052 1
4.5%
37.586026 1
4.5%
37.58945628 1
4.5%
37.589633 1
4.5%
37.59105175 1
4.5%
37.594145 1
4.5%
37.599192 1
4.5%
37.60005917 1
4.5%
37.601588 1
4.5%
37.602647 1
4.5%
ValueCountFrequency (%)
37.616724 1
4.5%
37.615943 1
4.5%
37.61565203 1
4.5%
37.61406942 1
4.5%
37.61297096 1
4.5%
37.61239016 1
4.5%
37.610624 1
4.5%
37.61053624 1
4.5%
37.60895467 1
4.5%
37.60694 1
4.5%

경도
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0262
Minimum127.00325
Maximum127.06142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-18T00:58:11.079642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.00325
5-th percentile127.00439
Q1127.01458
median127.0209
Q3127.03561
95-th percentile127.05646
Maximum127.06142
Range0.0581763
Interquartile range (IQR)0.0210317

Descriptive statistics

Standard deviation0.017505131
Coefficient of variation (CV)0.00013780724
Kurtosis-0.57640851
Mean127.0262
Median Absolute Deviation (MAD)0.0110475
Skewness0.71793429
Sum2794.5764
Variance0.0003064296
MonotonicityNot monotonic
2024-04-18T00:58:11.169831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
127.0032478 1
 
4.5%
127.027247 1
 
4.5%
127.008568 1
 
4.5%
127.01679 1
 
4.5%
127.0614241 1
 
4.5%
127.056567 1
 
4.5%
127.0544978 1
 
4.5%
127.0436684 1
 
4.5%
127.0505855 1
 
4.5%
127.035762 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
127.0032478 1
4.5%
127.0041769 1
4.5%
127.0085058 1
4.5%
127.008568 1
4.5%
127.011128 1
4.5%
127.0139264 1
4.5%
127.01655 1
4.5%
127.01679 1
4.5%
127.0168496 1
4.5%
127.019463 1
4.5%
ValueCountFrequency (%)
127.0614241 1
4.5%
127.056567 1
4.5%
127.0544978 1
4.5%
127.0505855 1
4.5%
127.0436684 1
4.5%
127.035762 1
4.5%
127.03517 1
4.5%
127.027695 1
4.5%
127.027247 1
4.5%
127.0228 1
4.5%

행정동
Text

Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-18T00:58:11.308021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.6818182
Min length3

Characters and Unicode

Total characters81
Distinct characters25
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)72.7%

Sample

1st row성북동
2nd row삼선동
3rd row돈암1동
4th row돈암2동
5th row돈암2동
ValueCountFrequency (%)
정릉4동 2
 
9.1%
돈암2동 2
 
9.1%
삼선동 2
 
9.1%
성북동 1
 
4.5%
길음2동 1
 
4.5%
장위3동 1
 
4.5%
장위2동 1
 
4.5%
장위1동 1
 
4.5%
월곡2동 1
 
4.5%
월곡1동 1
 
4.5%
Other values (9) 9
40.9%
2024-04-18T00:58:11.544598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 22
27.2%
2 6
 
7.4%
정 5
 
6.2%
1 5
 
6.2%
암 5
 
6.2%
릉 5
 
6.2%
장 3
 
3.7%
위 3
 
3.7%
돈 3
 
3.7%
3 2
 
2.5%
Other values (15) 22
27.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66
81.5%
Decimal Number 15
 
18.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 22
33.3%
정 5
 
7.6%
암 5
 
7.6%
릉 5
 
7.6%
장 3
 
4.5%
위 3
 
4.5%
돈 3
 
4.5%
길 2
 
3.0%
음 2
 
3.0%
월 2
 
3.0%
Other values (11) 14
21.2%
Decimal Number
ValueCountFrequency (%)
2 6
40.0%
1 5
33.3%
3 2
 
13.3%
4 2
 
13.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66
81.5%
Common 15
 
18.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 22
33.3%
정 5
 
7.6%
암 5
 
7.6%
릉 5
 
7.6%
장 3
 
4.5%
위 3
 
4.5%
돈 3
 
4.5%
길 2
 
3.0%
음 2
 
3.0%
월 2
 
3.0%
Other values (11) 14
21.2%
Common
ValueCountFrequency (%)
2 6
40.0%
1 5
33.3%
3 2
 
13.3%
4 2
 
13.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66
81.5%
ASCII 15
 
18.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 22
33.3%
정 5
 
7.6%
암 5
 
7.6%
릉 5
 
7.6%
장 3
 
4.5%
위 3
 
4.5%
돈 3
 
4.5%
길 2
 
3.0%
음 2
 
3.0%
월 2
 
3.0%
Other values (11) 14
21.2%
ASCII
ValueCountFrequency (%)
2 6
40.0%
1 5
33.3%
3 2
 
13.3%
4 2
 
13.3%

Interactions

2024-04-18T00:58:08.408410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:58:08.269973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:58:08.479286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T00:58:08.343244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-18T00:58:11.619950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공구대여소주소전화번호운영시간대여료위도경도행정동
공구대여소1.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
운영시간1.0001.0001.0001.0000.0000.0000.0000.000
대여료1.0001.0001.0000.0001.0000.0000.0000.000
위도1.0001.0001.0000.0000.0001.0000.0000.977
경도1.0001.0001.0000.0000.0000.0001.0000.960
행정동1.0001.0001.0000.0000.0000.9770.9601.000
2024-04-18T00:58:11.707283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대여료운영시간
대여료1.0000.000
운영시간0.0001.000
2024-04-18T00:58:11.771168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도운영시간대여료
위도1.0000.2510.0000.000
경도0.2511.0000.0000.000
운영시간0.0000.0001.0000.000
대여료0.0000.0000.0001.000

Missing values

2024-04-18T00:58:08.568620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-18T00:58:08.680673image/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

공구대여소주소전화번호비치공구류운영시간대여료대여기간기준일자위도경도행정동
0성북동주민센터서울특별시 성북구 성북로 3702-2241-5029가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.591052127.003248성북동
1삼선동주민센터서울특별시 성북구 보문로 19002-2241-5045가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.589456127.01685삼선동
2동선동주민센터서울특별시 성북구 동소문로26길 2702-2241-5098가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.594145127.020437돈암1동
3돈암1동주민센터서울특별시 성북구 정릉로48길 35 서라벌아파트 3층02-2241-5123가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.602647127.027695돈암2동
4돈암2동주민센터서울특별시 성북구 흥천사길 702-2241-5164가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.600059127.013926돈암2동
5안암동주민센터서울특별시 성북구 고려대로 1602-2241-5206가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.586026127.021354안암동
6보문동주민센터서울특별시 성북구 안암로3길 3502-2241-5246가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.58052127.0228보문동
7정릉1동주민센터서울특별시 성북구 정릉로38마길 3302-2241-5286가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.601588127.01655정릉1동
8정릉2동주민센터서울특별시 성북구 정릉로26길 102-2241-5322가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.604602127.011128정릉2동
9정릉3동주민센터서울특별시 성북구 솔샘로1길 6-302-2241-5364가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.608955127.004177정릉3동
공구대여소주소전화번호비치공구류운영시간대여료대여기간기준일자위도경도행정동
12길음2동주민센터서울특별시 성북구 삼양로2길 7002-2241-5485가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.60694127.027247길음2동
13종암동주민센터서울특별시 성북구 종암로 98-802-2241-5523가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.599192127.03517종암동
14월곡1동주민센터서울특별시 성북구 오패산로 9602-2241-5592가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.610536127.035762월곡1동
15월곡2동주민센터서울특별시 성북구 화랑로 15202-2241-5602가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.604973127.050585월곡2동
16장위1동주민센터서울특별시 성북구 장위로 6102-2241-5645가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.614069127.043668장위1동
17장위2동주민센터서울특별시 성북구 돌곶이로27길 1202-2241-5709가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.61239127.054498장위2동
18장위3동주민센터서울특별시 성북구 한천로 65702-2241-5728가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.616724127.056567장위3동
19석관동주민센터서울특별시 성북구 화랑로 29602-2241-5775가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.612971127.061424석관동
20성북구청 건축과서울특별시 보문로 168, 2층02-2241-2928가정용 공구세트+드릴 등월~금 09:00~18:00 (휴관일 제외)무료2박3일2024-04-0137.589633127.01679삼선동
21청소년 문화의 집서울특별시 성북구 정릉4동 244-602-919-9566가정용 공구세트+드릴 등화~토 09:00~21:00, 일 09:00~18:00 (휴관일 제외)1000원 ~ 2000원2박3일2024-04-0137.615943127.008568정릉4동