Overview

Dataset statistics

Number of variables10
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory87.1 B

Variable types

Text4
Numeric2
Categorical3
DateTime1

Dataset

Description서울특별시 동대문구의 공구대여소 관련 된 자료입니다. 관내 공구대여소의 대여소명, 주소, 전화번호 등의 정보를 담고 있습니다.
URLhttps://www.data.go.kr/data/15120722/fileData.do

Alerts

대여료 has constant value ""Constant
작성기준일 has constant value ""Constant
대여기간 is highly overall correlated with 운영시간High correlation
운영시간 is highly overall correlated with 대여기간High correlation
공구대여소명 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
도로명 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:54:41.433054
Analysis finished2023-12-12 05:54:42.669298
Duration1.24 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공구대여소명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T14:54:42.824278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length13.615385
Min length8

Characters and Unicode

Total characters354
Distinct characters75
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

Unique26 ?
Unique (%)100.0%

Sample

1st row구립장애인종합복지관 공구대여소
2nd row나들목가족도서관
3rd row답십리1동주민센터 공구대여소
4th row답십리2동주민센터 공구대여소
5th row동대문노인복지관 공구대여소
ValueCountFrequency (%)
공구대여소 21
42.0%
마을활력소 2
 
4.0%
구립장애인종합복지관 1
 
2.0%
이문체육문화센터 1
 
2.0%
휘경1동주민센터 1
 
2.0%
회기동주민센터 1
 
2.0%
홍릉문화복지센터 1
 
2.0%
한방진흥센터 1
 
2.0%
청량리동주민센터 1
 
2.0%
제기동주민센터 1
 
2.0%
Other values (19) 19
38.0%
2023-12-12T14:54:43.557188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
6.8%
24
 
6.8%
24
 
6.8%
23
 
6.5%
22
 
6.2%
22
 
6.2%
18
 
5.1%
18
 
5.1%
16
 
4.5%
14
 
4.0%
Other values (65) 149
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 319
90.1%
Space Separator 24
 
6.8%
Decimal Number 11
 
3.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
7.5%
24
 
7.5%
23
 
7.2%
22
 
6.9%
22
 
6.9%
18
 
5.6%
18
 
5.6%
16
 
5.0%
14
 
4.4%
14
 
4.4%
Other values (62) 124
38.9%
Decimal Number
ValueCountFrequency (%)
2 6
54.5%
1 5
45.5%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 319
90.1%
Common 35
 
9.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
7.5%
24
 
7.5%
23
 
7.2%
22
 
6.9%
22
 
6.9%
18
 
5.6%
18
 
5.6%
16
 
5.0%
14
 
4.4%
14
 
4.4%
Other values (62) 124
38.9%
Common
ValueCountFrequency (%)
24
68.6%
2 6
 
17.1%
1 5
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 319
90.1%
ASCII 35
 
9.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
68.6%
2 6
 
17.1%
1 5
 
14.3%
Hangul
ValueCountFrequency (%)
24
 
7.5%
24
 
7.5%
23
 
7.2%
22
 
6.9%
22
 
6.9%
18
 
5.6%
18
 
5.6%
16
 
5.0%
14
 
4.4%
14
 
4.4%
Other values (62) 124
38.9%

위도
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.582813
Minimum37.567391
Maximum37.603383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T14:54:43.688343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.567391
5-th percentile37.567848
Q137.575585
median37.581866
Q337.589926
95-th percentile37.601133
Maximum37.603383
Range0.03599263
Interquartile range (IQR)0.014341257

Descriptive statistics

Standard deviation0.010165355
Coefficient of variation (CV)0.00027047882
Kurtosis-0.57328468
Mean37.582813
Median Absolute Deviation (MAD)0.007005685
Skewness0.3252268
Sum977.15314
Variance0.00010333444
MonotonicityNot monotonic
2023-12-12T14:54:43.809188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
37.57180674 1
 
3.8%
37.56781428 1
 
3.8%
37.59012852 1
 
3.8%
37.59288786 1
 
3.8%
37.59078038 1
 
3.8%
37.58750957 1
 
3.8%
37.58060743 1
 
3.8%
37.58627089 1
 
3.8%
37.58312535 1
 
3.8%
37.57803568 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
37.56739053 1
3.8%
37.56781428 1
3.8%
37.56794723 1
3.8%
37.57177876 1
3.8%
37.57180674 1
3.8%
37.5753081 1
3.8%
37.57551537 1
3.8%
37.57579389 1
3.8%
37.57796294 1
3.8%
37.57803568 1
3.8%
ValueCountFrequency (%)
37.60338316 1
3.8%
37.60224069 1
3.8%
37.59780861 1
3.8%
37.59288786 1
3.8%
37.59120022 1
3.8%
37.59078038 1
3.8%
37.59012852 1
3.8%
37.58931947 1
3.8%
37.58750957 1
3.8%
37.58723426 1
3.8%

경도
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05223
Minimum127.02434
Maximum127.07059
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-12T14:54:43.943146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02434
5-th percentile127.03409
Q1127.04006
median127.0517
Q3127.06538
95-th percentile127.06868
Maximum127.07059
Range0.0462523
Interquartile range (IQR)0.025320225

Descriptive statistics

Standard deviation0.013265351
Coefficient of variation (CV)0.00010440864
Kurtosis-1.030766
Mean127.05223
Median Absolute Deviation (MAD)0.0135984
Skewness-0.32066473
Sum3303.3581
Variance0.00017596955
MonotonicityNot monotonic
2023-12-12T14:54:44.066912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
127.0340491 1
 
3.8%
127.0664111 1
 
3.8%
127.0685899 1
 
3.8%
127.0657337 1
 
3.8%
127.0553725 1
 
3.8%
127.0427123 1
 
3.8%
127.0375731 1
 
3.8%
127.047287 1
 
3.8%
127.0378252 1
 
3.8%
127.0600244 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
127.0243357 1
3.8%
127.0340491 1
3.8%
127.0341945 1
3.8%
127.0372732 1
3.8%
127.0375731 1
3.8%
127.0378252 1
3.8%
127.0391806 1
3.8%
127.0427123 1
3.8%
127.047287 1
3.8%
127.0477269 1
3.8%
ValueCountFrequency (%)
127.070588 1
3.8%
127.0687051 1
3.8%
127.0685899 1
3.8%
127.0664111 1
3.8%
127.0661714 1
3.8%
127.0657337 1
3.8%
127.0654714 1
3.8%
127.0651208 1
3.8%
127.0612817 1
3.8%
127.0600244 1
3.8%

대여료
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
무료
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 26
100.0%

Length

2023-12-12T14:54:44.199058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:54:44.285790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 26
100.0%
Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T14:54:44.443745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.961538
Min length11

Characters and Unicode

Total characters311
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

Unique24 ?
Unique (%)92.3%

Sample

1st row070-4522-4713
2nd row02-921-4085
3rd row02-2171-6223
4th row02-2171-6243
5th row02-963-0565
ValueCountFrequency (%)
02-2171-6363 2
 
7.7%
070-4522-4713 1
 
3.8%
02-6929-0687 1
 
3.8%
02-2171-6429 1
 
3.8%
02-2171-6403 1
 
3.8%
070-4227-5091 1
 
3.8%
02-2171-6063 1
 
3.8%
02-2171-6143 1
 
3.8%
02-2171-6576 1
 
3.8%
02-2242-7564 1
 
3.8%
Other values (15) 15
57.7%
2023-12-12T14:54:44.851561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 60
19.3%
- 52
16.7%
0 42
13.5%
1 38
12.2%
6 26
8.4%
7 25
8.0%
3 18
 
5.8%
5 17
 
5.5%
4 16
 
5.1%
9 13
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 259
83.3%
Dash Punctuation 52
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 60
23.2%
0 42
16.2%
1 38
14.7%
6 26
10.0%
7 25
9.7%
3 18
 
6.9%
5 17
 
6.6%
4 16
 
6.2%
9 13
 
5.0%
8 4
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 311
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 60
19.3%
- 52
16.7%
0 42
13.5%
1 38
12.2%
6 26
8.4%
7 25
8.0%
3 18
 
5.8%
5 17
 
5.5%
4 16
 
5.1%
9 13
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 311
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 60
19.3%
- 52
16.7%
0 42
13.5%
1 38
12.2%
6 26
8.4%
7 25
8.0%
3 18
 
5.8%
5 17
 
5.5%
4 16
 
5.1%
9 13
 
4.2%

도로명 주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T14:54:45.061303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15.5
Mean length13.653846
Min length10

Characters and Unicode

Total characters355
Distinct characters54
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

Unique26 ?
Unique (%)100.0%

Sample

1st row동대문구 청계천로 521
2nd row동대문구 안암로 6
3rd row동대문구 사가정로 30
4th row동대문구 한천로11길 18
5th row동대문구 제기로33길 25
ValueCountFrequency (%)
동대문구 26
33.8%
사가정로 4
 
5.2%
한천로18길 2
 
2.6%
3 2
 
2.6%
137 1
 
1.3%
한천로58길 1
 
1.3%
81-49 1
 
1.3%
52 1
 
1.3%
230-1 1
 
1.3%
48 1
 
1.3%
Other values (37) 37
48.1%
2023-12-12T14:54:45.497405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
14.4%
30
 
8.5%
28
 
7.9%
27
 
7.6%
26
 
7.3%
26
 
7.3%
1 19
 
5.4%
2 14
 
3.9%
13
 
3.7%
5 12
 
3.4%
Other values (44) 109
30.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
61.1%
Decimal Number 82
 
23.1%
Space Separator 51
 
14.4%
Dash Punctuation 5
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
30
13.8%
28
12.9%
27
12.4%
26
12.0%
26
12.0%
13
 
6.0%
7
 
3.2%
5
 
2.3%
4
 
1.8%
4
 
1.8%
Other values (32) 47
21.7%
Decimal Number
ValueCountFrequency (%)
1 19
23.2%
2 14
17.1%
5 12
14.6%
3 11
13.4%
8 9
11.0%
4 4
 
4.9%
6 4
 
4.9%
7 4
 
4.9%
9 3
 
3.7%
0 2
 
2.4%
Space Separator
ValueCountFrequency (%)
51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
61.1%
Common 138
38.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
30
13.8%
28
12.9%
27
12.4%
26
12.0%
26
12.0%
13
 
6.0%
7
 
3.2%
5
 
2.3%
4
 
1.8%
4
 
1.8%
Other values (32) 47
21.7%
Common
ValueCountFrequency (%)
51
37.0%
1 19
 
13.8%
2 14
 
10.1%
5 12
 
8.7%
3 11
 
8.0%
8 9
 
6.5%
- 5
 
3.6%
4 4
 
2.9%
6 4
 
2.9%
7 4
 
2.9%
Other values (2) 5
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
61.1%
ASCII 138
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51
37.0%
1 19
 
13.8%
2 14
 
10.1%
5 12
 
8.7%
3 11
 
8.0%
8 9
 
6.5%
- 5
 
3.6%
4 4
 
2.9%
6 4
 
2.9%
7 4
 
2.9%
Other values (2) 5
 
3.6%
Hangul
ValueCountFrequency (%)
30
13.8%
28
12.9%
27
12.4%
26
12.0%
26
12.0%
13
 
6.0%
7
 
3.2%
5
 
2.3%
4
 
1.8%
4
 
1.8%
Other values (32) 47
21.7%

대여기간
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
3일
22 
1일

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3일
2nd row1일
3rd row3일
4th row3일
5th row3일

Common Values

ValueCountFrequency (%)
3일 22
84.6%
1일 4
 
15.4%

Length

2023-12-12T14:54:45.633540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:54:45.753136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3일 22
84.6%
1일 4
 
15.4%
Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-12T14:54:45.943174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length229
Median length113.5
Mean length77.346154
Min length12

Characters and Unicode

Total characters2011
Distinct characters176
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique18 ?
Unique (%)69.2%

Sample

1st row전동드릴+가정용공구세트+전기릴선+레이저자+실리콘건+전동드릴(소)+그라인더+손타가+고무망치+공기주입기+콘크리트드릴+전기타카
2nd row전동드릴+가정용공구세트
3rd row전동드릴+해머드릴+드라이버+전동드라이버+스패너세트+공구세트+드라이버+미니전동드라이버드릴+톱(대형)+숫돌+파이프렌치+고지접낫+조선낫+호미+드릴비트(기리)세트+플렉시블비트+육각렌치세트+바이스플라이어+건타카(심)+글루건(심)+콤비네이션렌치세트+소켓렌치세트+양날톱+실톱+줄자(5cm)+고지가위+드릴드라이버세트+방역분무기+콘크리트기리+접이식 사다리/계단형+알루미늄사다리A형+워터펌프 플라이어 첼라(8+10+12)+만능톱
4th row전동드릴+해머드릴+전동드라이버+드라이버비트세트+토션비트+전선릴+몽키+파이프렌치+육각접렌치+스패너세트+공구세트+망치공구세트+니퍼+펜치+실리콘건+바이스플라이어+화이바망치+접톱+줄자+손타카+스크래퍼+미니전동드라이버드릴+줄자+자동줄자+다목적가위+복스세트+미니충전드릴+방역분무기
5th row전동드릴+가정용공구세트+미니전동드라이버드릴+임팩드릴(무선)+임팩드릴용비트세트
ValueCountFrequency (%)
전동드릴+가정용공구세트 6
 
13.0%
사다리 4
 
8.7%
전동드릴+가정용공구세트+미니전동드라이버드릴 2
 
4.3%
사다리+4단 2
 
4.3%
전동드릴+가정용공구세트,소켓렌치세트+파이프렌치+몽키스패너+락킹플라이어+보쉬전동드릴 1
 
2.2%
전동드릴+랜턴+몽키+스패너+공구세트+니퍼+펜치+드라이버세트+임팩드라이버+망치+쇠톱+손타카+수동펌프+못+나사+사다리+핸드카트+노트북+아이스박스+탁자+의자+미니전동드라이버드릴+글루건(심)+여행용가방+제설 1
 
2.2%
1
 
2.2%
청소용품+랜턴+방역분무기+전기드릴 1
 
2.2%
a형 1
 
2.2%
사다리+실리콘건 1
 
2.2%
Other values (26) 26
56.5%
2023-12-12T14:54:46.355228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 320
 
15.9%
119
 
5.9%
88
 
4.4%
86
 
4.3%
78
 
3.9%
66
 
3.3%
62
 
3.1%
57
 
2.8%
50
 
2.5%
38
 
1.9%
Other values (166) 1047
52.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1587
78.9%
Math Symbol 320
 
15.9%
Decimal Number 27
 
1.3%
Close Punctuation 20
 
1.0%
Space Separator 20
 
1.0%
Open Punctuation 20
 
1.0%
Other Punctuation 7
 
0.3%
Lowercase Letter 4
 
0.2%
Uppercase Letter 4
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
119
 
7.5%
88
 
5.5%
86
 
5.4%
78
 
4.9%
66
 
4.2%
62
 
3.9%
57
 
3.6%
50
 
3.2%
38
 
2.4%
35
 
2.2%
Other values (145) 908
57.2%
Decimal Number
ValueCountFrequency (%)
5 5
18.5%
3 5
18.5%
0 4
14.8%
4 4
14.8%
2 3
11.1%
1 2
 
7.4%
8 2
 
7.4%
7 1
 
3.7%
9 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 5
71.4%
" 1
 
14.3%
/ 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
m 3
75.0%
c 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
K 2
50.0%
A 2
50.0%
Math Symbol
ValueCountFrequency (%)
+ 320
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1587
78.9%
Common 416
 
20.7%
Latin 8
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
119
 
7.5%
88
 
5.5%
86
 
5.4%
78
 
4.9%
66
 
4.2%
62
 
3.9%
57
 
3.6%
50
 
3.2%
38
 
2.4%
35
 
2.2%
Other values (145) 908
57.2%
Common
ValueCountFrequency (%)
+ 320
76.9%
) 20
 
4.8%
20
 
4.8%
( 20
 
4.8%
5 5
 
1.2%
3 5
 
1.2%
, 5
 
1.2%
0 4
 
1.0%
4 4
 
1.0%
2 3
 
0.7%
Other values (7) 10
 
2.4%
Latin
ValueCountFrequency (%)
m 3
37.5%
K 2
25.0%
A 2
25.0%
c 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1587
78.9%
ASCII 424
 
21.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 320
75.5%
) 20
 
4.7%
20
 
4.7%
( 20
 
4.7%
5 5
 
1.2%
3 5
 
1.2%
, 5
 
1.2%
0 4
 
0.9%
4 4
 
0.9%
2 3
 
0.7%
Other values (11) 18
 
4.2%
Hangul
ValueCountFrequency (%)
119
 
7.5%
88
 
5.5%
86
 
5.4%
78
 
4.9%
66
 
4.2%
62
 
3.9%
57
 
3.6%
50
 
3.2%
38
 
2.4%
35
 
2.2%
Other values (145) 908
57.2%

운영시간
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
평일 09:00 ~ 18:00
17 
평일 10:00 ~ 18:00
평일 09:00 ~18:00
화~토 10:30 ~18:00 + 일 13:00 ~ 18:00
 
1
평일 11:00 ~ 17:00
 
1
Other values (3)

Length

Max length34
Median length16
Mean length17.346154
Min length15

Unique

Unique5 ?
Unique (%)19.2%

Sample

1st row평일 10:00 ~ 18:00
2nd row화~토 10:30 ~18:00 + 일 13:00 ~ 18:00
3rd row평일 09:00 ~ 18:00
4th row평일 09:00 ~ 18:00
5th row평일 09:00 ~ 18:00

Common Values

ValueCountFrequency (%)
평일 09:00 ~ 18:00 17
65.4%
평일 10:00 ~ 18:00 2
 
7.7%
평일 09:00 ~18:00 2
 
7.7%
화~토 10:30 ~18:00 + 일 13:00 ~ 18:00 1
 
3.8%
평일 11:00 ~ 17:00 1
 
3.8%
평일 10:00 ~ 17:00 1
 
3.8%
평일 06:00 ~ 22:00 + 토 06:00 ~ 18:00 1
 
3.8%
화~토 10:00 ~ 18:00 1
 
3.8%

Length

2023-12-12T14:54:46.580190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:54:46.735397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
27
24.3%
18:00 25
22.5%
평일 24
21.6%
09:00 19
17.1%
10:00 4
 
3.6%
화~토 2
 
1.8%
17:00 2
 
1.8%
06:00 2
 
1.8%
10:30 1
 
0.9%
1
 
0.9%
Other values (4) 4
 
3.6%

작성기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2023-08-28 00:00:00
Maximum2023-08-28 00:00:00
2023-12-12T14:54:46.895958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:54:47.038178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T14:54:42.153527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:54:41.936288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:54:42.280450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:54:42.052480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:54:47.141173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공구대여소명위도경도연락처도로명 주소대여기간비치공구운영시간
공구대여소명1.0001.0001.0001.0001.0001.0001.0001.000
위도1.0001.0000.4471.0001.0000.1890.8710.128
경도1.0000.4471.0000.0001.0000.4010.0000.530
연락처1.0001.0000.0001.0001.0001.0000.9781.000
도로명 주소1.0001.0001.0001.0001.0001.0001.0001.000
대여기간1.0000.1890.4011.0001.0001.0000.0001.000
비치공구1.0000.8710.0000.9781.0000.0001.0000.000
운영시간1.0000.1280.5301.0001.0001.0000.0001.000
2023-12-12T14:54:47.299185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시간대여기간
운영시간1.0000.866
대여기간0.8661.000
2023-12-12T14:54:47.395639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도대여기간운영시간
위도1.0000.2310.0000.000
경도0.2311.0000.3210.256
대여기간0.0000.3211.0000.866
운영시간0.0000.2560.8661.000

Missing values

2023-12-12T14:54:42.430567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:54:42.607320image/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

공구대여소명위도경도대여료연락처도로명 주소대여기간비치공구운영시간작성기준일
0구립장애인종합복지관 공구대여소37.571807127.034049무료070-4522-4713동대문구 청계천로 5213일전동드릴+가정용공구세트+전기릴선+레이저자+실리콘건+전동드릴(소)+그라인더+손타가+고무망치+공기주입기+콘크리트드릴+전기타카평일 10:00 ~ 18:002023-08-28
1나들목가족도서관37.578812127.024336무료02-921-4085동대문구 안암로 61일전동드릴+가정용공구세트화~토 10:30 ~18:00 + 일 13:00 ~ 18:002023-08-28
2답십리1동주민센터 공구대여소37.571779127.051277무료02-2171-6223동대문구 사가정로 303일전동드릴+해머드릴+드라이버+전동드라이버+스패너세트+공구세트+드라이버+미니전동드라이버드릴+톱(대형)+숫돌+파이프렌치+고지접낫+조선낫+호미+드릴비트(기리)세트+플렉시블비트+육각렌치세트+바이스플라이어+건타카(심)+글루건(심)+콤비네이션렌치세트+소켓렌치세트+양날톱+실톱+줄자(5cm)+고지가위+드릴드라이버세트+방역분무기+콘크리트기리+접이식 사다리/계단형+알루미늄사다리A형+워터펌프 플라이어 첼라(8+10+12)+만능톱평일 09:00 ~ 18:002023-08-28
3답십리2동주민센터 공구대여소37.567391127.061282무료02-2171-6243동대문구 한천로11길 183일전동드릴+해머드릴+전동드라이버+드라이버비트세트+토션비트+전선릴+몽키+파이프렌치+육각접렌치+스패너세트+공구세트+망치공구세트+니퍼+펜치+실리콘건+바이스플라이어+화이바망치+접톱+줄자+손타카+스크래퍼+미니전동드라이버드릴+줄자+자동줄자+다목적가위+복스세트+미니충전드릴+방역분무기평일 09:00 ~ 18:002023-08-28
4동대문노인복지관 공구대여소37.587234127.049826무료02-963-0565동대문구 제기로33길 253일전동드릴+가정용공구세트+미니전동드라이버드릴+임팩드릴(무선)+임팩드릴용비트세트평일 09:00 ~ 18:002023-08-28
5동대문종합사회복지관 공구대여소37.584015127.034194무료02-920-4500동대문구 약령시로5길 223일전동드릴+가정용공구세트+미니전동드라이버드릴평일 09:00 ~ 18:002023-08-28
6래미안크레시티2단지 경로당 공구대여소37.575515127.049713무료02-3394-8095동대문구 사가정로 653일전동드릴+가정용공구세트평일 09:00 ~ 18:002023-08-28
7마을활력소 회기한지붕37.5912127.052119무료02-2135-8151동대문구 회기로18길 31일전동드릴+가정용공구세트+5단 사다리평일 11:00 ~ 17:002023-08-28
8마을활력소 휘경아뜰리에37.589319127.059489무료02-3394-5070동대문구 망우로 지하 551일전동드릴+가정용공구세트평일 10:00 ~ 17:002023-08-28
9용두문화복지센터 공구대여소37.575308127.039181무료02-6929-2652동대문구 고산자로28길 133일전동드릴+가정용공구세트평일 10:00 ~ 18:002023-08-28
공구대여소명위도경도대여료연락처도로명 주소대여기간비치공구운영시간작성기준일
16장안종합사회복지관 공구대여소37.567947127.066171무료02-2242-7564동대문구 한천로18길 483일전동드릴+가정용공구세트+미니전동드라이버드릴평일 09:00 ~18:002023-08-28
17전농1동주민센터 공구대여소37.577963127.047727무료02-2171-6576동대문구 서울시립대로9길 213일전동드릴+해머드릴+임팩드라이버+전선릴+공구세트+손타카+미니전동드라이버드릴+손타카(핀)+보쉬열풍기+기리세트+방역분무기+콘크리트기리+3단 사다리+4단 사다리+5단 사다리평일 09:00 ~ 18:002023-08-28
18전농2동주민센터 공구대여소37.578036127.060024무료02-2171-6143동대문구 사가정로 1373일전동드릴+임팩드라이버드릴+그라인더+전선릴+파이프렌치+육각접렌치+스패너세트+공구세트+니퍼+펜치+화이바망치+접톱+줄자+다목적가위+손타카+실리콘건+복스세트+미니전동드라이버드릴+스크래퍼+몽키스패너+임팩용기리세트+핸드카트+조경용가위+접톱+방역분무기+다목적드릴비트세트+가정용공구세트+전기리드선+3단 사다리+4단 사다리평일 09:00 ~ 18:002023-08-28
19제기동주민센터 공구대여소37.583125127.037825무료02-2171-6063동대문구 약령시로 713일전동드릴+해머드릴+전동드라이버+전선릴+망치공구세트+공구세트+접톱+막삽+각삽+줄자+사다리+톱자루+톱날+컷쏘+몽키스패너+일자드라이버+기리세트+휴대용 무선드릴+방역분무기+가정용공구세트+다목적드릴비트세트평일 09:00 ~ 18:002023-08-28
20청량리동주민센터 공구대여소37.586271127.047287무료02-2171-6363동대문구 왕산로43다길53일전동드릴+랜턴+몽키+스패너+공구세트+니퍼+펜치+드라이버세트+임팩드라이버+망치+쇠톱+손타카+수동펌프+못+나사+사다리+핸드카트+노트북+아이스박스+탁자+의자+미니전동드라이버드릴+글루건(심)+여행용가방+제설 및 청소용품+랜턴+방역분무기+전기드릴+ A형 사다리+실리콘건평일 09:00 ~ 18:002023-08-28
21한방진흥센터 공구대여소37.580607127.037573무료070-4227-5091동대문구 약령중앙로 263일전동드릴+가정용공구세트,소켓렌치세트+파이프렌치+몽키스패너+락킹플라이어+보쉬전동드릴화~토 10:00 ~ 18:002023-08-28
22홍릉문화복지센터 공구대여소37.58751127.042712무료02-2171-6363동대문구 홍릉로 813일전동드릴+가정용공구세트평일 09:00 ~ 18:002023-08-28
23회기동주민센터 공구대여소37.59078127.055373무료02-2171-6403동대문구 회기로25길12-13일전동드릴+(가정용)공구세트+임팩드라이버+손타카+핸드카+미니전동드라이버드릴+핸드카트+방역분무기평일 09:00 ~ 18:002023-08-28
24휘경1동주민센터 공구대여소37.592888127.065734무료02-2171-6429동대문구 외대역동로6길 33일전동드릴+해머드릴+그라인더+전동드라이버+전선릴+몽키+파이프렌치+스패너세트+공구세트+니퍼+펜치+화이바망치+접톱+줄자+손타카+실리콘건+스크래퍼+복스세트+미니전동드라이버드릴+전기릴선(25m)+핸드카트+바이스플라이어+방역분무기+글루건(심)+전동드릴비트세트+전기드릴비트세트+양손가위+볼트커터(24)"평일 09:00 ~18:002023-08-28
25휘경2동주민센터 공구대여소37.590129127.06859무료02-2171-6452동대문구 한천로 3293일전동드릴+충전해머드릴+샌더+전동드라이버 ,타카+글루 +전선릴 +공구세트+핸드드릴+육각렌치세트+타카핀+스크류드라이버세트+육각드릴세트+드릴비트 ,빠루망치+십자드라이버+실톱세트+홀쏘(철,타일,목공)+핸드카트+방역분무기평일 09:00 ~ 18:002023-08-28