Overview

Dataset statistics

Number of variables28
Number of observations10000
Missing cells40232
Missing cells (%)14.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory251.0 B

Variable types

Numeric8
Categorical11
Text5
Unsupported4

Dataset

Description구분자(PK),공구 대분류 코드,공구 대분류,공구 중분류 코드,공구 중분류,공구 이름,공구 모델,과금기준,요금,요금(과금기준 + 요금),수량,장소 PK,대여장소명,상세주소,위치(위도,경도),위도,경도,웹사이트주소,전화번호,평일오픈시간,평일클로즈시간,토요일오픈시간,토요일클로즈시간,일요일오픈시간,일요일클로즈시간,공휴일오픈시간,공휴일클로즈시간,생성일시
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-21096/S/1/datasetView.do

Alerts

요금 has constant value ""Constant
요금(과금기준 + 요금) is highly imbalanced (75.8%)Imbalance
평일오픈시간 is highly imbalanced (74.9%)Imbalance
토요일오픈시간 is highly imbalanced (95.2%)Imbalance
토요일클로즈시간 is highly imbalanced (94.9%)Imbalance
일요일오픈시간 is highly imbalanced (97.6%)Imbalance
일요일클로즈시간 is highly imbalanced (96.2%)Imbalance
공구 모델 has 10000 (100.0%) missing valuesMissing
웹사이트주소 has 10000 (100.0%) missing valuesMissing
평일클로즈시간 has 212 (2.1%) missing valuesMissing
공휴일오픈시간 has 10000 (100.0%) missing valuesMissing
공휴일클로즈시간 has 10000 (100.0%) missing valuesMissing
수량 is highly skewed (γ1 = 26.27186011)Skewed
구분자(PK) has unique valuesUnique
공구 모델 is an unsupported type, check if it needs cleaning or further analysisUnsupported
웹사이트주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공휴일오픈시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공휴일클로즈시간 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수량 has 177 (1.8%) zerosZeros

Reproduction

Analysis started2024-05-11 08:33:30.888868
Analysis finished2024-05-11 08:33:33.292729
Duration2.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분자(PK)
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8611.6819
Minimum15
Maximum16373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:33:33.601625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile954.95
Q14265.75
median9045.5
Q312829.25
95-th percentile15680.05
Maximum16373
Range16358
Interquartile range (IQR)8563.5

Descriptive statistics

Standard deviation4812.5455
Coefficient of variation (CV)0.5588392
Kurtosis-1.2391421
Mean8611.6819
Median Absolute Deviation (MAD)4252
Skewness-0.13701107
Sum86116819
Variance23160594
MonotonicityNot monotonic
2024-05-11T08:33:34.085924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7561 1
 
< 0.1%
12910 1
 
< 0.1%
10738 1
 
< 0.1%
11954 1
 
< 0.1%
2358 1
 
< 0.1%
3445 1
 
< 0.1%
10988 1
 
< 0.1%
14971 1
 
< 0.1%
5392 1
 
< 0.1%
11622 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
15 1
< 0.1%
20 1
< 0.1%
21 1
< 0.1%
22 1
< 0.1%
23 1
< 0.1%
26 1
< 0.1%
30 1
< 0.1%
31 1
< 0.1%
32 1
< 0.1%
33 1
< 0.1%
ValueCountFrequency (%)
16373 1
< 0.1%
16372 1
< 0.1%
16370 1
< 0.1%
16369 1
< 0.1%
16368 1
< 0.1%
16367 1
< 0.1%
16366 1
< 0.1%
16365 1
< 0.1%
16364 1
< 0.1%
16362 1
< 0.1%

공구 대분류 코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
6998 
2
2241 
3
 
470
4
 
291

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row3
4th row2
5th row1

Common Values

ValueCountFrequency (%)
1 6998
70.0%
2 2241
 
22.4%
3 470
 
4.7%
4 291
 
2.9%

Length

2024-05-11T08:33:34.439481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:34.689302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 6998
70.0%
2 2241
 
22.4%
3 470
 
4.7%
4 291
 
2.9%

공구 대분류
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반공구
6998 
전동공구
2241 
생활용품
 
470
기타공구
 
291

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전동공구
2nd row전동공구
3rd row생활용품
4th row전동공구
5th row일반공구

Common Values

ValueCountFrequency (%)
일반공구 6998
70.0%
전동공구 2241
 
22.4%
생활용품 470
 
4.7%
기타공구 291
 
2.9%

Length

2024-05-11T08:33:34.954936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:35.293411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반공구 6998
70.0%
전동공구 2241
 
22.4%
생활용품 470
 
4.7%
기타공구 291
 
2.9%

공구 중분류 코드
Real number (ℝ)

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.4702
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:33:35.667719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median9
Q321
95-th percentile40
Maximum44
Range43
Interquartile range (IQR)18

Descriptive statistics

Standard deviation12.077719
Coefficient of variation (CV)0.89662508
Kurtosis0.0036282594
Mean13.4702
Median Absolute Deviation (MAD)7
Skewness0.99823132
Sum134702
Variance145.8713
MonotonicityNot monotonic
2024-05-11T08:33:36.177890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2 1347
13.5%
3 1101
 
11.0%
7 806
 
8.1%
21 649
 
6.5%
19 535
 
5.3%
10 487
 
4.9%
9 467
 
4.7%
4 460
 
4.6%
8 443
 
4.4%
5 424
 
4.2%
Other values (34) 3281
32.8%
ValueCountFrequency (%)
1 357
 
3.6%
2 1347
13.5%
3 1101
11.0%
4 460
 
4.6%
5 424
 
4.2%
6 22
 
0.2%
7 806
8.1%
8 443
 
4.4%
9 467
 
4.7%
10 487
 
4.9%
ValueCountFrequency (%)
44 291
2.9%
43 172
1.7%
42 8
 
0.1%
41 11
 
0.1%
40 134
1.3%
39 59
 
0.6%
38 6
 
0.1%
37 17
 
0.2%
36 9
 
0.1%
35 54
 
0.5%

공구 중분류
Categorical

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
몽키/렌치/스패너
1347 
니퍼/펜치/플라이어
1101 
톱/낫/삽/원예공구
806 
전동드릴
649 
기타 일반공구
 
535
Other values (39)
5562 

Length

Max length10
Median length8
Mean length6.7596
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전동드릴
2nd row전동절단/톱/직소
3rd row캠핑용품
4th row전동드릴
5th row목공/미장

Common Values

ValueCountFrequency (%)
몽키/렌치/스패너 1347
13.5%
니퍼/펜치/플라이어 1101
 
11.0%
톱/낫/삽/원예공구 806
 
8.1%
전동드릴 649
 
6.5%
기타 일반공구 535
 
5.3%
타카/접착용품 487
 
4.9%
커터/절단공구 467
 
4.7%
드라이버 460
 
4.6%
자/측정공구 443
 
4.4%
망치/함마/장도리 424
 
4.2%
Other values (34) 3281
32.8%

Length

2024-05-11T08:33:36.516608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
몽키/렌치/스패너 1347
 
12.4%
니퍼/펜치/플라이어 1101
 
10.2%
기타 827
 
7.6%
톱/낫/삽/원예공구 806
 
7.4%
전동드릴 649
 
6.0%
일반공구 535
 
4.9%
타카/접착용품 487
 
4.5%
커터/절단공구 467
 
4.3%
드라이버 460
 
4.2%
자/측정공구 443
 
4.1%
Other values (35) 3705
34.2%

공구 이름
Text

Distinct2857
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T08:33:37.035670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length28
Mean length5.4232
Min length1

Characters and Unicode

Total characters54232
Distinct characters587
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2109 ?
Unique (%)21.1%

Sample

1st row유선햄머전동드릴/로터리 해머드릴
2nd row전정기
3rd row원터치텐트
4th row충전전동드릴
5th row빠루
ValueCountFrequency (%)
드라이버 252
 
2.0%
니퍼 242
 
1.9%
공구세트 238
 
1.9%
파이프렌치 214
 
1.7%
줄자 211
 
1.7%
전동드릴 191
 
1.5%
펜치 178
 
1.4%
사다리 176
 
1.4%
1개 155
 
1.2%
플라이어 150
 
1.2%
Other values (2635) 10547
84.0%
2024-05-11T08:33:38.158193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2638
 
4.9%
드 1843
 
3.4%
트 1716
 
3.2%
이 1679
 
3.1%
치 1653
 
3.0%
전 1513
 
2.8%
라 1363
 
2.5%
릴 1323
 
2.4%
) 1183
 
2.2%
( 1183
 
2.2%
Other values (577) 38138
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44675
82.4%
Space Separator 2638
 
4.9%
Decimal Number 2589
 
4.8%
Close Punctuation 1184
 
2.2%
Open Punctuation 1184
 
2.2%
Uppercase Letter 737
 
1.4%
Other Punctuation 623
 
1.1%
Lowercase Letter 516
 
1.0%
Dash Punctuation 62
 
0.1%
Math Symbol 23
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 1843
 
4.1%
트 1716
 
3.8%
이 1679
 
3.8%
치 1653
 
3.7%
전 1513
 
3.4%
라 1363
 
3.1%
릴 1323
 
3.0%
스 1151
 
2.6%
세 1040
 
2.3%
기 1006
 
2.3%
Other values (498) 30388
68.0%
Uppercase Letter
ValueCountFrequency (%)
M 144
19.5%
S 87
11.8%
C 55
 
7.5%
P 53
 
7.2%
L 52
 
7.1%
A 46
 
6.2%
D 45
 
6.1%
V 33
 
4.5%
E 32
 
4.3%
W 26
 
3.5%
Other values (16) 164
22.3%
Lowercase Letter
ValueCountFrequency (%)
m 273
52.9%
c 43
 
8.3%
s 34
 
6.6%
p 31
 
6.0%
e 18
 
3.5%
i 14
 
2.7%
n 13
 
2.5%
h 13
 
2.5%
a 13
 
2.5%
t 12
 
2.3%
Other values (12) 52
 
10.1%
Other Punctuation
ValueCountFrequency (%)
/ 221
35.5%
, 172
27.6%
' 76
 
12.2%
# 41
 
6.6%
. 35
 
5.6%
& 29
 
4.7%
* 20
 
3.2%
″ 14
 
2.2%
＂ 8
 
1.3%
? 6
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 672
26.0%
0 511
19.7%
2 419
16.2%
3 234
 
9.0%
5 222
 
8.6%
4 165
 
6.4%
8 154
 
5.9%
6 120
 
4.6%
7 56
 
2.2%
9 36
 
1.4%
Math Symbol
ValueCountFrequency (%)
+ 19
82.6%
× 3
 
13.0%
~ 1
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 1183
99.9%
] 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1183
99.9%
[ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2638
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44669
82.4%
Common 8304
 
15.3%
Latin 1253
 
2.3%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 1843
 
4.1%
트 1716
 
3.8%
이 1679
 
3.8%
치 1653
 
3.7%
전 1513
 
3.4%
라 1363
 
3.1%
릴 1323
 
3.0%
스 1151
 
2.6%
세 1040
 
2.3%
기 1006
 
2.3%
Other values (495) 30382
68.0%
Latin
ValueCountFrequency (%)
m 273
21.8%
M 144
 
11.5%
S 87
 
6.9%
C 55
 
4.4%
P 53
 
4.2%
L 52
 
4.2%
A 46
 
3.7%
D 45
 
3.6%
c 43
 
3.4%
s 34
 
2.7%
Other values (38) 421
33.6%
Common
ValueCountFrequency (%)
2638
31.8%
) 1183
14.2%
( 1183
14.2%
1 672
 
8.1%
0 511
 
6.2%
2 419
 
5.0%
3 234
 
2.8%
5 222
 
2.7%
/ 221
 
2.7%
, 172
 
2.1%
Other values (21) 849
 
10.2%
Han
ValueCountFrequency (%)
中 2
33.3%
大 2
33.3%
小 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44662
82.4%
ASCII 9532
 
17.6%
Punctuation 14
 
< 0.1%
None 11
 
< 0.1%
Compat Jamo 7
 
< 0.1%
CJK 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2638
27.7%
) 1183
12.4%
( 1183
12.4%
1 672
 
7.0%
0 511
 
5.4%
2 419
 
4.4%
m 273
 
2.9%
3 234
 
2.5%
5 222
 
2.3%
/ 221
 
2.3%
Other values (66) 1976
20.7%
Hangul
ValueCountFrequency (%)
드 1843
 
4.1%
트 1716
 
3.8%
이 1679
 
3.8%
치 1653
 
3.7%
전 1513
 
3.4%
라 1363
 
3.1%
릴 1323
 
3.0%
스 1151
 
2.6%
세 1040
 
2.3%
기 1006
 
2.3%
Other values (494) 30375
68.0%
Punctuation
ValueCountFrequency (%)
″ 14
100.0%
None
ValueCountFrequency (%)
＂ 8
72.7%
× 3
 
27.3%
Compat Jamo
ValueCountFrequency (%)
ㄷ 7
100.0%
CJK
ValueCountFrequency (%)
中 2
33.3%
大 2
33.3%
小 2
33.3%

공구 모델
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

과금기준
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1일
5173 
1회
4827 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1회
2nd row1회
3rd row1일
4th row1회
5th row1회

Common Values

ValueCountFrequency (%)
1일 5173
51.7%
1회 4827
48.3%

Length

2024-05-11T08:33:38.524770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:38.793670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1일 5173
51.7%
1회 4827
48.3%

요금
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 (%)
0 10000
100.0%

Length

2024-05-11T08:33:39.127127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:39.429646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

요금(과금기준 + 요금)
Categorical

IMBALANCE 

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
무료
8471 
1일 300원
 
419
1일 500원
 
328
1일 1000원
 
309
1일 2000원
 
150
Other values (15)
 
323

Length

Max length16
Median length2
Mean length2.8716
Min length2

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row무료
2nd row무료
3rd row1일 1000원
4th row무료
5th row무료

Common Values

ValueCountFrequency (%)
무료 8471
84.7%
1일 300원 419
 
4.2%
1일 500원 328
 
3.3%
1일 1000원 309
 
3.1%
1일 2000원 150
 
1.5%
1일 10000원 142
 
1.4%
<NA> 69
 
0.7%
1일 1000원 ~2000원원 32
 
0.3%
1일 500~2000원 17
 
0.2%
1일 3000원 11
 
0.1%
Other values (10) 52
 
0.5%

Length

2024-05-11T08:33:39.840300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무료 8471
73.7%
1일 1460
 
12.7%
300원 419
 
3.6%
1000원 341
 
3.0%
500원 328
 
2.9%
2000원 150
 
1.3%
10000원 142
 
1.2%
na 69
 
0.6%
2000원원 32
 
0.3%
500~2000원 17
 
0.1%
Other values (11) 63
 
0.5%

수량
Real number (ℝ)

SKEWED  ZEROS 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4393
Minimum0
Maximum150
Zeros177
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:33:40.235735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum150
Range150
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.5705595
Coefficient of variation (CV)1.785979
Kurtosis1228.9284
Mean1.4393
Median Absolute Deviation (MAD)0
Skewness26.27186
Sum14393
Variance6.6077763
MonotonicityNot monotonic
2024-05-11T08:33:40.591405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 7930
79.3%
2 1278
 
12.8%
3 335
 
3.4%
0 177
 
1.8%
4 91
 
0.9%
5 51
 
0.5%
20 49
 
0.5%
10 24
 
0.2%
6 20
 
0.2%
7 8
 
0.1%
Other values (20) 37
 
0.4%
ValueCountFrequency (%)
0 177
 
1.8%
1 7930
79.3%
2 1278
 
12.8%
3 335
 
3.4%
4 91
 
0.9%
5 51
 
0.5%
6 20
 
0.2%
7 8
 
0.1%
8 7
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
150 1
 
< 0.1%
75 1
 
< 0.1%
47 1
 
< 0.1%
42 1
 
< 0.1%
40 1
 
< 0.1%
33 1
 
< 0.1%
30 3
< 0.1%
29 3
< 0.1%
26 1
 
< 0.1%
24 1
 
< 0.1%

장소 PK
Real number (ℝ)

Distinct652
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3442.8399
Minimum18
Maximum13376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:33:41.035159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile59
Q1168.75
median304
Q32434
95-th percentile13209
Maximum13376
Range13358
Interquartile range (IQR)2265.25

Descriptive statistics

Standard deviation5504.6731
Coefficient of variation (CV)1.5988757
Kurtosis-0.59705738
Mean3442.8399
Median Absolute Deviation (MAD)176
Skewness1.1771974
Sum34428399
Variance30301426
MonotonicityNot monotonic
2024-05-11T08:33:41.555084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13021 81
 
0.8%
168 81
 
0.8%
13020 72
 
0.7%
169 71
 
0.7%
163 68
 
0.7%
170 64
 
0.6%
167 64
 
0.6%
165 62
 
0.6%
455 61
 
0.6%
166 61
 
0.6%
Other values (642) 9315
93.2%
ValueCountFrequency (%)
18 5
0.1%
19 8
0.1%
20 8
0.1%
21 10
0.1%
22 6
0.1%
23 9
0.1%
24 4
 
< 0.1%
25 7
0.1%
26 6
0.1%
27 10
0.1%
ValueCountFrequency (%)
13376 1
 
< 0.1%
13364 22
0.2%
13362 2
 
< 0.1%
13360 10
 
0.1%
13353 1
 
< 0.1%
13352 3
 
< 0.1%
13349 9
 
0.1%
13338 40
0.4%
13337 2
 
< 0.1%
13336 2
 
< 0.1%

대여장소명
Text

Distinct660
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T08:33:42.297361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length11.8223
Min length4

Characters and Unicode

Total characters118223
Distinct characters339
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)0.4%

Sample

1st row사당2동주민센터 공구대여소
2nd row노량진1동주민센터 공구대여소
3rd row중림동주민센터 공구 및 물품 대여소
4th row사당3동주민센터 공구대여소
5th row논현1동 주민센터
ValueCountFrequency (%)
공구대여소 4828
23.6%
주민센터 2096
 
10.2%
공구도서관 1013
 
4.9%
우리동네 521
 
2.5%
공구함 260
 
1.3%
대여소 126
 
0.6%
생활공구대여소 115
 
0.6%
우리마을 95
 
0.5%
사당5동주민센터 81
 
0.4%
역삼2동 76
 
0.4%
Other values (701) 11269
55.0%
2024-05-11T08:33:43.936001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10588
 
9.0%
동 9011
 
7.6%
공 8359
 
7.1%
구 7755
 
6.6%
소 6452
 
5.5%
대 6303
 
5.3%
여 5928
 
5.0%
터 4690
 
4.0%
센 4653
 
3.9%
주 4280
 
3.6%
Other values (329) 50204
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100734
85.2%
Space Separator 10588
 
9.0%
Decimal Number 5612
 
4.7%
Open Punctuation 427
 
0.4%
Close Punctuation 427
 
0.4%
Other Punctuation 248
 
0.2%
Uppercase Letter 138
 
0.1%
Dash Punctuation 47
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9011
 
8.9%
공 8359
 
8.3%
구 7755
 
7.7%
소 6452
 
6.4%
대 6303
 
6.3%
여 5928
 
5.9%
터 4690
 
4.7%
센 4653
 
4.6%
주 4280
 
4.2%
민 4280
 
4.2%
Other values (298) 39023
38.7%
Uppercase Letter
ValueCountFrequency (%)
L 30
21.7%
A 22
15.9%
B 14
10.1%
D 12
 
8.7%
I 12
 
8.7%
Y 12
 
8.7%
C 10
 
7.2%
U 9
 
6.5%
G 8
 
5.8%
M 7
 
5.1%
Decimal Number
ValueCountFrequency (%)
2 1898
33.8%
1 1850
33.0%
3 774
13.8%
4 504
 
9.0%
5 232
 
4.1%
6 129
 
2.3%
7 93
 
1.7%
0 47
 
0.8%
9 43
 
0.8%
8 42
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 147
59.3%
, 73
29.4%
' 28
 
11.3%
Open Punctuation
ValueCountFrequency (%)
( 394
92.3%
「 33
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 394
92.3%
」 33
 
7.7%
Space Separator
ValueCountFrequency (%)
10588
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100736
85.2%
Common 17349
 
14.7%
Latin 138
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9011
 
8.9%
공 8359
 
8.3%
구 7755
 
7.7%
소 6452
 
6.4%
대 6303
 
6.3%
여 5928
 
5.9%
터 4690
 
4.7%
센 4653
 
4.6%
주 4280
 
4.2%
민 4280
 
4.2%
Other values (299) 39025
38.7%
Common
ValueCountFrequency (%)
10588
61.0%
2 1898
 
10.9%
1 1850
 
10.7%
3 774
 
4.5%
4 504
 
2.9%
( 394
 
2.3%
) 394
 
2.3%
5 232
 
1.3%
. 147
 
0.8%
6 129
 
0.7%
Other values (9) 439
 
2.5%
Latin
ValueCountFrequency (%)
L 30
21.7%
A 22
15.9%
B 14
10.1%
D 12
 
8.7%
I 12
 
8.7%
Y 12
 
8.7%
C 10
 
7.2%
U 9
 
6.5%
G 8
 
5.8%
M 7
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100734
85.2%
ASCII 17421
 
14.7%
None 68
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10588
60.8%
2 1898
 
10.9%
1 1850
 
10.6%
3 774
 
4.4%
4 504
 
2.9%
( 394
 
2.3%
) 394
 
2.3%
5 232
 
1.3%
. 147
 
0.8%
6 129
 
0.7%
Other values (18) 511
 
2.9%
Hangul
ValueCountFrequency (%)
동 9011
 
8.9%
공 8359
 
8.3%
구 7755
 
7.7%
소 6452
 
6.4%
대 6303
 
6.3%
여 5928
 
5.9%
터 4690
 
4.7%
센 4653
 
4.6%
주 4280
 
4.2%
민 4280
 
4.2%
Other values (298) 39023
38.7%
None
ValueCountFrequency (%)
「 33
48.5%
」 33
48.5%
㈜ 2
 
2.9%

상세주소
Text

Distinct773
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T08:33:44.808275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length46
Mean length19.2269
Min length5

Characters and Unicode

Total characters192269
Distinct characters285
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

Unique75 ?
Unique (%)0.8%

Sample

1st row서울특별시 동작구 동작대로29길 52(사당동)
2nd row서울특별시 동작구 노량진동 84-100
3rd row서울특별시 중구 만리동2가 273
4th row서울특별시 동작구 사당동 256-1
5th row서울특별시 강남구 논현동 133-13
ValueCountFrequency (%)
서울특별시 8472
 
20.7%
송파구 1043
 
2.6%
강남구 952
 
2.3%
동작구 791
 
1.9%
영등포구 620
 
1.5%
서울시 591
 
1.4%
중구 530
 
1.3%
서울 528
 
1.3%
관악구 498
 
1.2%
은평구 427
 
1.0%
Other values (1168) 26412
64.6%
2024-05-11T08:33:46.695839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30899
 
16.1%
서 10722
 
5.6%
구 10135
 
5.3%
울 9625
 
5.0%
시 9241
 
4.8%
특 8472
 
4.4%
별 8472
 
4.4%
1 7990
 
4.2%
동 7134
 
3.7%
2 6346
 
3.3%
Other values (275) 83233
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117425
61.1%
Decimal Number 38197
 
19.9%
Space Separator 30899
 
16.1%
Dash Punctuation 3982
 
2.1%
Other Punctuation 613
 
0.3%
Close Punctuation 568
 
0.3%
Open Punctuation 568
 
0.3%
Uppercase Letter 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 10722
 
9.1%
구 10135
 
8.6%
울 9625
 
8.2%
시 9241
 
7.9%
특 8472
 
7.2%
별 8472
 
7.2%
동 7134
 
6.1%
로 6049
 
5.2%
길 3676
 
3.1%
강 1928
 
1.6%
Other values (258) 41971
35.7%
Decimal Number
ValueCountFrequency (%)
1 7990
20.9%
2 6346
16.6%
3 4718
12.4%
4 3419
9.0%
7 3108
 
8.1%
6 2846
 
7.5%
5 2810
 
7.4%
8 2650
 
6.9%
0 2229
 
5.8%
9 2081
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
B 9
52.9%
A 8
47.1%
Space Separator
ValueCountFrequency (%)
30899
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3982
100.0%
Other Punctuation
ValueCountFrequency (%)
, 613
100.0%
Close Punctuation
ValueCountFrequency (%)
) 568
100.0%
Open Punctuation
ValueCountFrequency (%)
( 568
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117425
61.1%
Common 74827
38.9%
Latin 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 10722
 
9.1%
구 10135
 
8.6%
울 9625
 
8.2%
시 9241
 
7.9%
특 8472
 
7.2%
별 8472
 
7.2%
동 7134
 
6.1%
로 6049
 
5.2%
길 3676
 
3.1%
강 1928
 
1.6%
Other values (258) 41971
35.7%
Common
ValueCountFrequency (%)
30899
41.3%
1 7990
 
10.7%
2 6346
 
8.5%
3 4718
 
6.3%
- 3982
 
5.3%
4 3419
 
4.6%
7 3108
 
4.2%
6 2846
 
3.8%
5 2810
 
3.8%
8 2650
 
3.5%
Other values (5) 6059
 
8.1%
Latin
ValueCountFrequency (%)
B 9
52.9%
A 8
47.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117425
61.1%
ASCII 74844
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30899
41.3%
1 7990
 
10.7%
2 6346
 
8.5%
3 4718
 
6.3%
- 3982
 
5.3%
4 3419
 
4.6%
7 3108
 
4.2%
6 2846
 
3.8%
5 2810
 
3.8%
8 2650
 
3.5%
Other values (7) 6076
 
8.1%
Hangul
ValueCountFrequency (%)
서 10722
 
9.1%
구 10135
 
8.6%
울 9625
 
8.2%
시 9241
 
7.9%
특 8472
 
7.2%
별 8472
 
7.2%
동 7134
 
6.1%
로 6049
 
5.2%
길 3676
 
3.1%
강 1928
 
1.6%
Other values (258) 41971
35.7%

위치(위도,경도)
Text

Distinct731
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T08:33:47.863516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length20.3268
Min length17

Characters and Unicode

Total characters203268
Distinct characters12
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

Unique60 ?
Unique (%)0.6%

Sample

1st row37.4887395,126.9792749
2nd row37.512308,126.942013
3rd row37.5547875,126.9645476
4th row37.4845131,126.9734978
5th row37.5115706,127.028461
ValueCountFrequency (%)
37.4857468,126.9668711 81
 
0.8%
37.4824625,127.0544858 72
 
0.7%
37.5081314,126.9263503 71
 
0.7%
37.4981019,126.9530979 68
 
0.7%
37.4889376,126.91006 64
 
0.6%
37.49911,126.9313814 62
 
0.6%
37.4887395,126.9792749 61
 
0.6%
37.4959857,127.0467983 54
 
0.5%
37.50863,127.07714 53
 
0.5%
37.5239769,127.0227755 53
 
0.5%
Other values (721) 9361
93.6%
2024-05-11T08:33:49.548019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 26324
13.0%
1 21925
10.8%
3 20644
10.2%
2 20284
10.0%
. 20000
9.8%
5 16221
8.0%
6 15533
7.6%
9 13544
6.7%
4 13451
6.6%
0 13032
6.4%
Other values (2) 22310
11.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 173268
85.2%
Other Punctuation 30000
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 26324
15.2%
1 21925
12.7%
3 20644
11.9%
2 20284
11.7%
5 16221
9.4%
6 15533
9.0%
9 13544
7.8%
4 13451
7.8%
0 13032
7.5%
8 12310
7.1%
Other Punctuation
ValueCountFrequency (%)
. 20000
66.7%
, 10000
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 203268
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 26324
13.0%
1 21925
10.8%
3 20644
10.2%
2 20284
10.0%
. 20000
9.8%
5 16221
8.0%
6 15533
7.6%
9 13544
6.7%
4 13451
6.6%
0 13032
6.4%
Other values (2) 22310
11.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203268
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 26324
13.0%
1 21925
10.8%
3 20644
10.2%
2 20284
10.0%
. 20000
9.8%
5 16221
8.0%
6 15533
7.6%
9 13544
6.7%
4 13451
6.6%
0 13032
6.4%
Other values (2) 22310
11.0%

위도
Real number (ℝ)

Distinct725
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.540891
Minimum37.438739
Maximum37.736041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:33:50.124039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438739
5-th percentile37.47669
Q137.49649
median37.53184
Q337.575864
95-th percentile37.638055
Maximum37.736041
Range0.2973024
Interquartile range (IQR)0.079374075

Descriptive statistics

Standard deviation0.051714272
Coefficient of variation (CV)0.0013775451
Kurtosis-0.3674147
Mean37.540891
Median Absolute Deviation (MAD)0.03829
Skewness0.61120257
Sum375408.91
Variance0.0026743659
MonotonicityNot monotonic
2024-05-11T08:33:50.565461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4857468 81
 
0.8%
37.4824625 72
 
0.7%
37.5081314 71
 
0.7%
37.4981019 68
 
0.7%
37.4889376 64
 
0.6%
37.49911 62
 
0.6%
37.4887395 61
 
0.6%
37.4959857 54
 
0.5%
37.50863 53
 
0.5%
37.5239769 53
 
0.5%
Other values (715) 9361
93.6%
ValueCountFrequency (%)
37.4387389 10
0.1%
37.44056 10
0.1%
37.4492976 21
0.2%
37.4495487 15
0.1%
37.4507147 8
 
0.1%
37.4516716 3
 
< 0.1%
37.4523569 2
 
< 0.1%
37.4535239 8
 
0.1%
37.4589501 20
0.2%
37.461481 24
0.2%
ValueCountFrequency (%)
37.7360413 12
 
0.1%
37.6786913 21
0.2%
37.6786204 14
 
0.1%
37.6729133 10
 
0.1%
37.6728818 4
 
< 0.1%
37.6696484 33
0.3%
37.66931 9
 
0.1%
37.6681842 24
0.2%
37.6641887 43
0.4%
37.6629366 8
 
0.1%

경도
Real number (ℝ)

Distinct724
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99802
Minimum126.52176
Maximum127.17708
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:33:50.973969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52176
5-th percentile126.85871
Q1126.92851
median127.00899
Q3127.06254
95-th percentile127.12973
Maximum127.17708
Range0.6553178
Interquartile range (IQR)0.1340298

Descriptive statistics

Standard deviation0.083163762
Coefficient of variation (CV)0.00065484299
Kurtosis0.21401173
Mean126.99802
Median Absolute Deviation (MAD)0.0666811
Skewness-0.28227589
Sum1269980.2
Variance0.0069162113
MonotonicityNot monotonic
2024-05-11T08:33:51.545342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9668711 81
 
0.8%
127.0544858 72
 
0.7%
126.9263503 71
 
0.7%
126.9530979 68
 
0.7%
126.91006 64
 
0.6%
126.9313814 62
 
0.6%
126.9792749 61
 
0.6%
127.0467983 54
 
0.5%
127.07714 53
 
0.5%
127.0227755 53
 
0.5%
Other values (714) 9361
93.6%
ValueCountFrequency (%)
126.5217583 12
 
0.1%
126.8058069 1
 
< 0.1%
126.8101479 2
 
< 0.1%
126.8169733 21
0.2%
126.8223129 31
0.3%
126.82717 9
 
0.1%
126.829265 8
 
0.1%
126.8314627 22
0.2%
126.8329165 6
 
0.1%
126.8331686 17
0.2%
ValueCountFrequency (%)
127.1770761 3
 
< 0.1%
127.173909 2
 
< 0.1%
127.1716122 5
0.1%
127.1683007 5
0.1%
127.16435 5
0.1%
127.1633115 8
0.1%
127.1621562 9
0.1%
127.152798 2
 
< 0.1%
127.1515382 2
 
< 0.1%
127.1514571 7
0.1%

웹사이트주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

전화번호
Text

Distinct741
Distinct (%)7.4%
Missing20
Missing (%)0.2%
Memory size156.2 KiB
2024-05-11T08:33:52.483381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.628056
Min length1

Characters and Unicode

Total characters116048
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)0.7%

Sample

1st row02-820-2709
2nd row02-820-2425
3rd row02-3396-6927
4th row02-820-2731
5th row02-3423-7420
ValueCountFrequency (%)
02-820-2794 81
 
0.8%
02-3423-7670 72
 
0.7%
02-820-2709 64
 
0.6%
02-820-2461 62
 
0.6%
02-3423-7353 54
 
0.5%
02-820-2483 52
 
0.5%
02-820-2571 51
 
0.5%
02-2286-7271 50
 
0.5%
02-3396-8357 49
 
0.5%
02-3423-7815 47
 
0.5%
Other values (729) 9398
94.2%
2024-05-11T08:33:54.197947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 21851
18.8%
- 19644
16.9%
0 18249
15.7%
4 9168
7.9%
3 8801
7.6%
7 7499
 
6.5%
5 7417
 
6.4%
1 6393
 
5.5%
8 6313
 
5.4%
6 6210
 
5.4%
Other values (4) 4503
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96284
83.0%
Dash Punctuation 19644
 
16.9%
Space Separator 94
 
0.1%
Math Symbol 13
 
< 0.1%
Close Punctuation 13
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 21851
22.7%
0 18249
19.0%
4 9168
9.5%
3 8801
9.1%
7 7499
 
7.8%
5 7417
 
7.7%
1 6393
 
6.6%
8 6313
 
6.6%
6 6210
 
6.4%
9 4383
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 19644
100.0%
Space Separator
ValueCountFrequency (%)
94
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116048
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 21851
18.8%
- 19644
16.9%
0 18249
15.7%
4 9168
7.9%
3 8801
7.6%
7 7499
 
6.5%
5 7417
 
6.4%
1 6393
 
5.5%
8 6313
 
5.4%
6 6210
 
5.4%
Other values (4) 4503
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116048
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 21851
18.8%
- 19644
16.9%
0 18249
15.7%
4 9168
7.9%
3 8801
7.6%
7 7499
 
6.5%
5 7417
 
6.4%
1 6393
 
5.5%
8 6313
 
5.4%
6 6210
 
5.4%
Other values (4) 4503
 
3.9%

평일오픈시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
900
8960 
1000
 
577
<NA>
 
212
930
 
206
1030
 
43

Length

Max length4
Median length3
Mean length3.0832
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row900
2nd row900
3rd row900
4th row900
5th row900

Common Values

ValueCountFrequency (%)
900 8960
89.6%
1000 577
 
5.8%
<NA> 212
 
2.1%
930 206
 
2.1%
1030 43
 
0.4%
600 2
 
< 0.1%

Length

2024-05-11T08:33:54.763167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:55.228986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
900 8960
89.6%
1000 577
 
5.8%
na 212
 
2.1%
930 206
 
2.1%
1030 43
 
0.4%
600 2
 
< 0.1%

평일클로즈시간
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.1%
Missing212
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean1807.077
Minimum1300
Maximum2200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:33:55.601053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1300
5-th percentile1800
Q11800
median1800
Q31800
95-th percentile1900
Maximum2200
Range900
Interquartile range (IQR)0

Descriptive statistics

Standard deviation55.88296
Coefficient of variation (CV)0.030924504
Kurtosis25.935315
Mean1807.077
Median Absolute Deviation (MAD)0
Skewness3.0717868
Sum17687670
Variance3122.9053
MonotonicityNot monotonic
2024-05-11T08:33:56.233251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1800 9012
90.1%
1700 263
 
2.6%
1900 217
 
2.2%
2100 207
 
2.1%
2000 50
 
0.5%
2200 19
 
0.2%
1300 10
 
0.1%
1730 9
 
0.1%
1600 1
 
< 0.1%
(Missing) 212
 
2.1%
ValueCountFrequency (%)
1300 10
 
0.1%
1600 1
 
< 0.1%
1700 263
 
2.6%
1730 9
 
0.1%
1800 9012
90.1%
1900 217
 
2.2%
2000 50
 
0.5%
2100 207
 
2.1%
2200 19
 
0.2%
ValueCountFrequency (%)
2200 19
 
0.2%
2100 207
 
2.1%
2000 50
 
0.5%
1900 217
 
2.2%
1800 9012
90.1%
1730 9
 
0.1%
1700 263
 
2.6%
1600 1
 
< 0.1%
1300 10
 
0.1%

토요일오픈시간
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9891 
900
 
89
1000
 
18
1030
 
2

Length

Max length4
Median length4
Mean length3.9911
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9891
98.9%
900 89
 
0.9%
1000 18
 
0.2%
1030 2
 
< 0.1%

Length

2024-05-11T08:33:56.783677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:57.379079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9891
98.9%
900 89
 
0.9%
1000 18
 
0.2%
1030 2
 
< 0.1%

토요일클로즈시간
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9891 
1800
 
68
2100
 
24
2200
 
17

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9891
98.9%
1800 68
 
0.7%
2100 24
 
0.2%
2200 17
 
0.2%

Length

2024-05-11T08:33:57.799483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:58.253656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9891
98.9%
1800 68
 
0.7%
2100 24
 
0.2%
2200 17
 
0.2%

일요일오픈시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9960 
900
 
38
1300
 
2

Length

Max length4
Median length4
Mean length3.9962
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9960
99.6%
900 38
 
0.4%
1300 2
 
< 0.1%

Length

2024-05-11T08:33:58.608671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:58.965684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9960
99.6%
900 38
 
0.4%
1300 2
 
< 0.1%

일요일클로즈시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9960 
1800
 
40

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9960
99.6%
1800 40
 
0.4%

Length

2024-05-11T08:33:59.281674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T08:33:59.704398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9960
99.6%
1800 40
 
0.4%

공휴일오픈시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

공휴일클로즈시간
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

생성일시
Real number (ℝ)

Distinct4841
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0194917 × 1013
Minimum2.0180123 × 1013
Maximum2.024051 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T08:33:59.988357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0180123 × 1013
5-th percentile2.0180123 × 1013
Q12.0180123 × 1013
median2.0180202 × 1013
Q32.0211025 × 1013
95-th percentile2.0230602 × 1013
Maximum2.024051 × 1013
Range6.0386939 × 1010
Interquartile range (IQR)3.0901979 × 1010

Descriptive statistics

Standard deviation1.8878701 × 1010
Coefficient of variation (CV)0.00093482435
Kurtosis-0.82964422
Mean2.0194917 × 1013
Median Absolute Deviation (MAD)78977952
Skewness0.81061233
Sum2.0194917 × 1017
Variance3.5640534 × 1020
MonotonicityNot monotonic
2024-05-11T08:34:00.553937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180123173300 3360
33.6%
20180125110000 847
 
8.5%
20180202133000 433
 
4.3%
20180202113000 187
 
1.9%
20211202120000 185
 
1.8%
20180123173333 151
 
1.5%
20220614161402 2
 
< 0.1%
20220621171429 2
 
< 0.1%
20211027111721 1
 
< 0.1%
20181126095849 1
 
< 0.1%
Other values (4831) 4831
48.3%
ValueCountFrequency (%)
20180123173300 3360
33.6%
20180123173333 151
 
1.5%
20180125110000 847
 
8.5%
20180131173128 1
 
< 0.1%
20180131173350 1
 
< 0.1%
20180131173407 1
 
< 0.1%
20180131173434 1
 
< 0.1%
20180131173458 1
 
< 0.1%
20180131173515 1
 
< 0.1%
20180131173548 1
 
< 0.1%
ValueCountFrequency (%)
20240510112217 1
< 0.1%
20240509210739 1
< 0.1%
20240509210652 1
< 0.1%
20240509210420 1
< 0.1%
20240509210255 1
< 0.1%
20240509205735 1
< 0.1%
20240509205707 1
< 0.1%
20240509205636 1
< 0.1%
20240509205609 1
< 0.1%
20240509205434 1
< 0.1%

Sample

구분자(PK)공구 대분류 코드공구 대분류공구 중분류 코드공구 중분류공구 이름공구 모델과금기준요금요금(과금기준 + 요금)수량장소 PK대여장소명상세주소위치(위도,경도)위도경도웹사이트주소전화번호평일오픈시간평일클로즈시간토요일오픈시간토요일클로즈시간일요일오픈시간일요일클로즈시간공휴일오픈시간공휴일클로즈시간생성일시
1227175612전동공구21전동드릴유선햄머전동드릴/로터리 해머드릴<NA>1회0무료1167사당2동주민센터 공구대여소서울특별시 동작구 동작대로29길 52(사당동)37.4887395,126.979274937.48874126.979275<NA>02-820-27099001800<NA><NA><NA><NA><NA><NA>20180125110000
13044129662전동공구25전동절단/톱/직소전정기<NA>1회0무료113170노량진1동주민센터 공구대여소서울특별시 동작구 노량진동 84-10037.512308,126.94201337.512308126.942013<NA>02-820-24259001800<NA><NA><NA><NA><NA><NA>20211124165802
991162703생활용품39캠핑용품원터치텐트<NA>1일01일 1000원1502중림동주민센터 공구 및 물품 대여소서울특별시 중구 만리동2가 27337.5547875,126.964547637.554788126.964548<NA>02-3396-69279001800<NA><NA><NA><NA><NA><NA>20240403152042
12888149182전동공구21전동드릴충전전동드릴<NA>1회0무료1173사당3동주민센터 공구대여소서울특별시 동작구 사당동 256-137.4845131,126.973497837.484513126.973498<NA>02-820-27319001800<NA><NA><NA><NA><NA><NA>20220923124633
519593571일반공구12목공/미장빠루<NA>1회0무료013011논현1동 주민센터서울특별시 강남구 논현동 133-1337.5115706,127.02846137.511571127.028461<NA>02-3423-74209001800<NA><NA><NA><NA><NA><NA>20181122100343
6198120861일반공구2몽키/렌치/스패너소켓렌치 세트<NA>1회0무료1166흑석동주민센터 공구대여소서울특별시 동작구 흑석동 335-237.5058242,126.966622137.505824126.966622<NA>02-820-25459001800<NA><NA><NA><NA><NA><NA>20201127163635
117312892전동공구28에어건/콤프레셔에어콤프레샤<NA>1일0무료1144천호중앙하이츠 공구도서관서울특별시 강동구 구천면로41길 79 중앙하이츠37.5469227,127.130178737.546923127.130179<NA>02-483-30459001800<NA><NA><NA><NA><NA><NA>20180123173333
5396160191일반공구2몽키/렌치/스패너롱볼렌치세트(9pcs)<NA>1회0무료29766상도4동주민센터서울특별시 동작구 양녕로27길 4437.4993993,126.941410237.499399126.94141<NA>02-820-29239001800<NA><NA><NA><NA><NA><NA>20230822160402
1865162401일반공구19기타 일반공구복스셋<NA>1회0무료2497약수동주민센터 공구대여소서울특별시 중구 신당동 366-1537.55247,127.0089937.55247127.00899<NA>02-3396-85229001800<NA><NA><NA><NA><NA><NA>20240402205754
9718162031일반공구7톱/낫/삽/원예공구고지가위<NA>1회0무료175중곡1동 공구대여소서울특별시 광진구 긴고랑로12길 49, 1층 중곡1동 주민센터37.560675,127.08003837.560675127.080038<NA>0245010269001800<NA><NA><NA><NA><NA><NA>20240226110039
구분자(PK)공구 대분류 코드공구 대분류공구 중분류 코드공구 중분류공구 이름공구 모델과금기준요금요금(과금기준 + 요금)수량장소 PK대여장소명상세주소위치(위도,경도)위도경도웹사이트주소전화번호평일오픈시간평일클로즈시간토요일오픈시간토요일클로즈시간일요일오픈시간일요일클로즈시간공휴일오픈시간공휴일클로즈시간생성일시
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5686133271일반공구2몽키/렌치/스패너몽키/렌치/스패너<NA>1일0무료113190현대6차공인중개사사무소공구대여소서울특별시 영등포구 양평동3가 10137.5313683,126.893804637.531368126.893805<NA>02-2679-4949<NA><NA><NA><NA><NA><NA><NA><NA>20211202120000
1278728952전동공구21전동드릴충전드릴<NA>1일0무료1359삼익공인중개사사무소공구대여소서울특별시 영등포구 당산로 134-137.52661,126.8970837.52661126.89708<NA>02-786-49499302100<NA><NA><NA><NA><NA><NA>20180123173300
1125634812전동공구29비트기리세트<NA>1일01일 300~1000원1139창3동 공구대여점 나눔공방서울시 도봉구 덕릉로62길 89(창동)37.6380547,127.040758437.638055127.040758<NA>02-2091-57309001800<NA><NA><NA><NA><NA><NA>20180125110000
13800132832전동공구22해머드릴해머드릴<NA>1일0무료113187뱅크삼환아파트점공인중개사사무소공구대여소서울특별시 영등포구 신길동 897-137.5084535,126.91923237.508454126.919232<NA>02-848-0101<NA><NA><NA><NA><NA><NA><NA><NA>20211202120000
244288241일반공구3니퍼/펜치/플라이어니퍼<NA>1회0무료396고척1동 공구대여소서울 구로구 중앙로3길 18-837.5003677,126.860598137.500368126.860598<NA>02-2620-78049001800<NA><NA><NA><NA><NA><NA>20180202133000
521524981일반공구12목공/미장호미<NA>1일0무료1510망우 행복키움 생활지원센터서울특별시 중랑구 망우로 77길 12, 2층37.60147,127.1063637.60147127.10636<NA>02-2094-04529001800<NA><NA><NA><NA><NA><NA>20180123173300
285136564기타공구44기타공구전기릴선<NA>1회0무료1495신당동주민센터 공구도서관서울특별시 중구 신당동 300-637.5620364,127.014434537.562036127.014434<NA>02-3396-67139001800<NA><NA><NA><NA><NA><NA>20220616170047
1800123061일반공구19기타 일반공구롱노즈6'<NA>1회0무료12415가양1동 공구대여소서울특별시 강서구 가양동 1462-337.5694674,126.844673637.569467126.844674<NA>02-2600-77859001800<NA><NA><NA><NA><NA><NA>20210930150343