Overview

Dataset statistics

Number of variables28
Number of observations10000
Missing cells40316
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 (76.3%)Imbalance
평일오픈시간 is highly imbalanced (73.5%)Imbalance
토요일오픈시간 is highly imbalanced (95.4%)Imbalance
토요일클로즈시간 is highly imbalanced (95.7%)Imbalance
일요일오픈시간 is highly imbalanced (97.5%)Imbalance
일요일클로즈시간 is highly imbalanced (96.1%)Imbalance
공구 모델 has 10000 (100.0%) missing valuesMissing
웹사이트주소 has 10000 (100.0%) missing valuesMissing
평일클로즈시간 has 294 (2.9%) missing valuesMissing
공휴일오픈시간 has 10000 (100.0%) missing valuesMissing
공휴일클로즈시간 has 10000 (100.0%) missing valuesMissing
수량 is highly skewed (γ1 = 27.32761001)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 175 (1.8%) zerosZeros

Reproduction

Analysis started2024-05-18 03:28:18.924766
Analysis finished2024-05-18 03:28:21.108300
Duration2.18 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%
Mean8714.3266
Minimum15
Maximum16558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T12:28:21.313079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile961.95
Q14330.75
median9204.5
Q312925.25
95-th percentile15811.05
Maximum16558
Range16543
Interquartile range (IQR)8594.5

Descriptive statistics

Standard deviation4841.5967
Coefficient of variation (CV)0.55559046
Kurtosis-1.2287075
Mean8714.3266
Median Absolute Deviation (MAD)4257.5
Skewness-0.15235747
Sum87143266
Variance23441059
MonotonicityNot monotonic
2024-05-18T12:28:21.650021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14539 1
 
< 0.1%
14591 1
 
< 0.1%
6393 1
 
< 0.1%
13957 1
 
< 0.1%
10649 1
 
< 0.1%
3341 1
 
< 0.1%
5141 1
 
< 0.1%
4170 1
 
< 0.1%
10002 1
 
< 0.1%
1337 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
15 1
< 0.1%
16 1
< 0.1%
19 1
< 0.1%
20 1
< 0.1%
22 1
< 0.1%
24 1
< 0.1%
26 1
< 0.1%
32 1
< 0.1%
35 1
< 0.1%
37 1
< 0.1%
ValueCountFrequency (%)
16558 1
< 0.1%
16557 1
< 0.1%
16556 1
< 0.1%
16555 1
< 0.1%
16554 1
< 0.1%
16551 1
< 0.1%
16549 1
< 0.1%
16548 1
< 0.1%
16547 1
< 0.1%
16544 1
< 0.1%

공구 대분류 코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
7010 
2
2235 
3
 
470
4
 
285

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 7010
70.1%
2 2235
 
22.4%
3 470
 
4.7%
4 285
 
2.9%

Length

2024-05-18T12:28:22.199135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:28:22.517052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 7010
70.1%
2 2235
 
22.4%
3 470
 
4.7%
4 285
 
2.9%

공구 대분류
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반공구
7010 
전동공구
2235 
생활용품
 
470
기타공구
 
285

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반공구 7010
70.1%
전동공구 2235
 
22.4%
생활용품 470
 
4.7%
기타공구 285
 
2.9%

Length

2024-05-18T12:28:22.855249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:28:23.184652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반공구 7010
70.1%
전동공구 2235
 
22.4%
생활용품 470
 
4.7%
기타공구 285
 
2.9%

공구 중분류 코드
Real number (ℝ)

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.4576
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T12:28:23.552854image/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 deviation12.02565
Coefficient of variation (CV)0.89359546
Kurtosis0.024395109
Mean13.4576
Median Absolute Deviation (MAD)7
Skewness1.0009293
Sum134576
Variance144.61626
MonotonicityNot monotonic
2024-05-18T12:28:23.999735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
2 1299
 
13.0%
3 1134
 
11.3%
7 778
 
7.8%
21 627
 
6.3%
19 555
 
5.5%
10 498
 
5.0%
4 493
 
4.9%
9 478
 
4.8%
8 440
 
4.4%
5 412
 
4.1%
Other values (34) 3286
32.9%
ValueCountFrequency (%)
1 352
 
3.5%
2 1299
13.0%
3 1134
11.3%
4 493
 
4.9%
5 412
 
4.1%
6 17
 
0.2%
7 778
7.8%
8 440
 
4.4%
9 478
 
4.8%
10 498
 
5.0%
ValueCountFrequency (%)
44 285
2.9%
43 169
1.7%
42 10
 
0.1%
41 10
 
0.1%
40 135
1.4%
39 60
 
0.6%
38 8
 
0.1%
37 20
 
0.2%
36 9
 
0.1%
35 49
 
0.5%

공구 중분류
Categorical

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
몽키/렌치/스패너
1299 
니퍼/펜치/플라이어
1134 
톱/낫/삽/원예공구
778 
전동드릴
627 
기타 일반공구
 
555
Other values (39)
5607 

Length

Max length10
Median length8
Mean length6.7644
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타 생활용품
2nd row목공/미장
3rd row망치/함마/장도리
4th row기타 일반공구
5th row몽키/렌치/스패너

Common Values

ValueCountFrequency (%)
몽키/렌치/스패너 1299
 
13.0%
니퍼/펜치/플라이어 1134
 
11.3%
톱/낫/삽/원예공구 778
 
7.8%
전동드릴 627
 
6.3%
기타 일반공구 555
 
5.5%
타카/접착용품 498
 
5.0%
드라이버 493
 
4.9%
커터/절단공구 478
 
4.8%
자/측정공구 440
 
4.4%
망치/함마/장도리 412
 
4.1%
Other values (34) 3286
32.9%

Length

2024-05-18T12:28:24.445396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
몽키/렌치/스패너 1299
 
12.0%
니퍼/펜치/플라이어 1134
 
10.5%
기타 847
 
7.8%
톱/낫/삽/원예공구 778
 
7.2%
전동드릴 627
 
5.8%
일반공구 555
 
5.1%
타카/접착용품 498
 
4.6%
드라이버 493
 
4.5%
커터/절단공구 478
 
4.4%
자/측정공구 440
 
4.1%
Other values (35) 3698
34.1%

공구 이름
Text

Distinct2843
Distinct (%)28.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T12:28:25.140001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length26
Mean length5.3756
Min length1

Characters and Unicode

Total characters53756
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

Unique2108 ?
Unique (%)21.1%

Sample

1st row접이식카트
2nd row목공용 톱(톱자루+날)
3rd row망치/함마/장도리
4th row4인치 절단석(A형)
5th row경량 몽키렌치
ValueCountFrequency (%)
드라이버 273
 
2.2%
니퍼 237
 
1.9%
공구세트 237
 
1.9%
파이프렌치 210
 
1.7%
줄자 208
 
1.7%
사다리 179
 
1.4%
전동드릴 175
 
1.4%
펜치 171
 
1.4%
플라이어 160
 
1.3%
몽키스패너 152
 
1.2%
Other values (2614) 10509
84.0%
2024-05-18T12:28:26.178797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2600
 
4.8%
드 1860
 
3.5%
이 1733
 
3.2%
트 1714
 
3.2%
치 1584
 
2.9%
전 1513
 
2.8%
라 1432
 
2.7%
릴 1286
 
2.4%
스 1162
 
2.2%
( 1135
 
2.1%
Other values (577) 37737
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44612
83.0%
Space Separator 2600
 
4.8%
Decimal Number 2426
 
4.5%
Open Punctuation 1135
 
2.1%
Close Punctuation 1130
 
2.1%
Uppercase Letter 718
 
1.3%
Other Punctuation 582
 
1.1%
Lowercase Letter 467
 
0.9%
Dash Punctuation 63
 
0.1%
Math Symbol 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
드 1860
 
4.2%
이 1733
 
3.9%
트 1714
 
3.8%
치 1584
 
3.6%
전 1513
 
3.4%
라 1432
 
3.2%
릴 1286
 
2.9%
스 1162
 
2.6%
세 1055
 
2.4%
기 1021
 
2.3%
Other values (503) 30252
67.8%
Uppercase Letter
ValueCountFrequency (%)
M 125
17.4%
S 84
11.7%
L 53
 
7.4%
P 52
 
7.2%
A 51
 
7.1%
C 50
 
7.0%
D 38
 
5.3%
T 31
 
4.3%
E 31
 
4.3%
V 29
 
4.0%
Other values (15) 174
24.2%
Lowercase Letter
ValueCountFrequency (%)
m 246
52.7%
c 46
 
9.9%
s 33
 
7.1%
p 28
 
6.0%
h 17
 
3.6%
i 15
 
3.2%
e 15
 
3.2%
n 12
 
2.6%
t 9
 
1.9%
x 7
 
1.5%
Other values (11) 39
 
8.4%
Decimal Number
ValueCountFrequency (%)
1 608
25.1%
0 478
19.7%
2 384
15.8%
3 227
 
9.4%
5 217
 
8.9%
4 168
 
6.9%
8 144
 
5.9%
6 113
 
4.7%
7 56
 
2.3%
9 31
 
1.3%
Other Punctuation
ValueCountFrequency (%)
/ 195
33.5%
, 154
26.5%
' 83
14.3%
# 40
 
6.9%
. 36
 
6.2%
& 25
 
4.3%
* 21
 
3.6%
″ 12
 
2.1%
? 9
 
1.5%
＂ 7
 
1.2%
Math Symbol
ValueCountFrequency (%)
+ 19
86.4%
~ 2
 
9.1%
× 1
 
4.5%
Space Separator
ValueCountFrequency (%)
2600
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1135
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 63
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44609
83.0%
Common 7959
 
14.8%
Latin 1185
 
2.2%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
드 1860
 
4.2%
이 1733
 
3.9%
트 1714
 
3.8%
치 1584
 
3.6%
전 1513
 
3.4%
라 1432
 
3.2%
릴 1286
 
2.9%
스 1162
 
2.6%
세 1055
 
2.4%
기 1021
 
2.3%
Other values (500) 30249
67.8%
Latin
ValueCountFrequency (%)
m 246
20.8%
M 125
 
10.5%
S 84
 
7.1%
L 53
 
4.5%
P 52
 
4.4%
A 51
 
4.3%
C 50
 
4.2%
c 46
 
3.9%
D 38
 
3.2%
s 33
 
2.8%
Other values (36) 407
34.3%
Common
ValueCountFrequency (%)
2600
32.7%
( 1135
14.3%
) 1130
14.2%
1 608
 
7.6%
0 478
 
6.0%
2 384
 
4.8%
3 227
 
2.9%
5 217
 
2.7%
/ 195
 
2.5%
4 168
 
2.1%
Other values (18) 817
 
10.3%
Han
ValueCountFrequency (%)
中 1
33.3%
小 1
33.3%
大 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44603
83.0%
ASCII 9124
 
17.0%
Punctuation 12
 
< 0.1%
None 8
 
< 0.1%
Compat Jamo 6
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2600
28.5%
( 1135
12.4%
) 1130
12.4%
1 608
 
6.7%
0 478
 
5.2%
2 384
 
4.2%
m 246
 
2.7%
3 227
 
2.5%
5 217
 
2.4%
/ 195
 
2.1%
Other values (61) 1904
20.9%
Hangul
ValueCountFrequency (%)
드 1860
 
4.2%
이 1733
 
3.9%
트 1714
 
3.8%
치 1584
 
3.6%
전 1513
 
3.4%
라 1432
 
3.2%
릴 1286
 
2.9%
스 1162
 
2.6%
세 1055
 
2.4%
기 1021
 
2.3%
Other values (498) 30243
67.8%
Punctuation
ValueCountFrequency (%)
″ 12
100.0%
None
ValueCountFrequency (%)
＂ 7
87.5%
× 1
 
12.5%
Compat Jamo
ValueCountFrequency (%)
ㄷ 5
83.3%
ㅡ 1
 
16.7%
CJK
ValueCountFrequency (%)
中 1
33.3%
小 1
33.3%
大 1
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
5113 
1회
4887 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1일 5113
51.1%
1회 4887
48.9%

Length

2024-05-18T12:28:26.579019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:28:26.876403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1일 5113
51.1%
1회 4887
48.9%

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

2024-05-18T12:28:27.201991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:28:27.489259image/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
8491 
1일 300원
 
415
1일 500원
 
335
1일 1000원
 
331
1일 10000원
 
139
Other values (15)
 
289

Length

Max length16
Median length2
Mean length2.8582
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
무료 8491
84.9%
1일 300원 415
 
4.2%
1일 500원 335
 
3.4%
1일 1000원 331
 
3.3%
1일 10000원 139
 
1.4%
1일 2000원 134
 
1.3%
<NA> 58
 
0.6%
1일 1000원 ~2000원원 28
 
0.3%
1일 500~2000원 14
 
0.1%
1일 300~1000원 10
 
0.1%
Other values (10) 45
 
0.4%

Length

2024-05-18T12:28:27.848365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
무료 8491
74.0%
1일 1451
 
12.6%
300원 415
 
3.6%
1000원 359
 
3.1%
500원 335
 
2.9%
10000원 139
 
1.2%
2000원 134
 
1.2%
na 58
 
0.5%
2000원원 28
 
0.2%
500~2000원 14
 
0.1%
Other values (11) 55
 
0.5%

수량
Real number (ℝ)

SKEWED  ZEROS 

Distinct27
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4305
Minimum0
Maximum150
Zeros175
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T12:28:28.151731image/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 deviation2.5179364
Coefficient of variation (CV)1.7601792
Kurtosis1326.4299
Mean1.4305
Median Absolute Deviation (MAD)0
Skewness27.32761
Sum14305
Variance6.3400038
MonotonicityNot monotonic
2024-05-18T12:28:28.395575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 7968
79.7%
2 1241
 
12.4%
3 336
 
3.4%
0 175
 
1.8%
4 89
 
0.9%
5 51
 
0.5%
20 47
 
0.5%
10 26
 
0.3%
6 22
 
0.2%
7 8
 
0.1%
Other values (17) 37
 
0.4%
ValueCountFrequency (%)
0 175
 
1.8%
1 7968
79.7%
2 1241
 
12.4%
3 336
 
3.4%
4 89
 
0.9%
5 51
 
0.5%
6 22
 
0.2%
7 8
 
0.1%
8 6
 
0.1%
9 5
 
0.1%
ValueCountFrequency (%)
150 1
 
< 0.1%
75 1
 
< 0.1%
47 1
 
< 0.1%
42 1
 
< 0.1%
30 2
 
< 0.1%
29 3
 
< 0.1%
26 1
 
< 0.1%
24 1
 
< 0.1%
22 3
 
< 0.1%
20 47
0.5%

장소 PK
Real number (ℝ)

Distinct665
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3560.0711
Minimum18
Maximum13390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T12:28:28.723635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile61
Q1169
median318
Q313005
95-th percentile13220
Maximum13390
Range13372
Interquartile range (IQR)12836

Descriptive statistics

Standard deviation5570.5053
Coefficient of variation (CV)1.5647174
Kurtosis-0.7189157
Mean3560.0711
Median Absolute Deviation (MAD)176
Skewness1.1241531
Sum35600711
Variance31030529
MonotonicityNot monotonic
2024-05-18T12:28:29.177290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
168 83
 
0.8%
13021 72
 
0.7%
163 68
 
0.7%
166 67
 
0.7%
167 67
 
0.7%
170 67
 
0.7%
455 65
 
0.7%
13020 64
 
0.6%
169 60
 
0.6%
288 55
 
0.5%
Other values (655) 9332
93.3%
ValueCountFrequency (%)
18 6
0.1%
19 4
 
< 0.1%
20 10
0.1%
21 7
0.1%
22 7
0.1%
23 11
0.1%
24 7
0.1%
25 8
0.1%
26 7
0.1%
27 9
0.1%
ValueCountFrequency (%)
13390 9
0.1%
13389 11
0.1%
13388 9
0.1%
13387 13
0.1%
13386 8
0.1%
13385 9
0.1%
13383 8
0.1%
13382 10
0.1%
13381 9
0.1%
13380 8
0.1%

대여장소명
Text

Distinct672
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T12:28:29.796899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length11.8452
Min length4

Characters and Unicode

Total characters118452
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

Unique50 ?
Unique (%)0.5%

Sample

1st row휘경제1동 공구대여소
2nd row물빛마을 공구도서관
3rd row에이스공인중개사사무소공구대여소
4th row장충동 공구대여소
5th row경록공인중개사사무소
ValueCountFrequency (%)
공구대여소 4895
23.9%
주민센터 2098
 
10.3%
공구도서관 991
 
4.8%
우리동네 488
 
2.4%
공구함 251
 
1.2%
대여소 127
 
0.6%
생활공구대여소 115
 
0.6%
우리마을 89
 
0.4%
사당5동주민센터 83
 
0.4%
생활공구 71
 
0.3%
Other values (711) 11251
55.0%
2024-05-18T12:28:30.596102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10573
 
8.9%
동 8936
 
7.5%
공 8378
 
7.1%
구 7774
 
6.6%
소 6551
 
5.5%
대 6376
 
5.4%
여 5975
 
5.0%
터 4739
 
4.0%
센 4703
 
4.0%
주 4330
 
3.7%
Other values (329) 50117
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100998
85.3%
Space Separator 10573
 
8.9%
Decimal Number 5659
 
4.8%
Open Punctuation 403
 
0.3%
Close Punctuation 403
 
0.3%
Other Punctuation 241
 
0.2%
Uppercase Letter 124
 
0.1%
Dash Punctuation 50
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8936
 
8.8%
공 8378
 
8.3%
구 7774
 
7.7%
소 6551
 
6.5%
대 6376
 
6.3%
여 5975
 
5.9%
터 4739
 
4.7%
센 4703
 
4.7%
주 4330
 
4.3%
민 4330
 
4.3%
Other values (298) 38906
38.5%
Uppercase Letter
ValueCountFrequency (%)
L 29
23.4%
A 19
15.3%
C 13
10.5%
G 10
 
8.1%
M 10
 
8.1%
Y 9
 
7.3%
I 9
 
7.3%
D 9
 
7.3%
U 8
 
6.5%
B 7
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 1927
34.1%
1 1863
32.9%
3 764
 
13.5%
4 514
 
9.1%
5 233
 
4.1%
6 132
 
2.3%
7 99
 
1.7%
0 47
 
0.8%
9 41
 
0.7%
8 39
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 149
61.8%
, 58
 
24.1%
' 34
 
14.1%
Open Punctuation
ValueCountFrequency (%)
( 372
92.3%
「 31
 
7.7%
Close Punctuation
ValueCountFrequency (%)
) 372
92.3%
」 31
 
7.7%
Space Separator
ValueCountFrequency (%)
10573
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100999
85.3%
Common 17329
 
14.6%
Latin 124
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8936
 
8.8%
공 8378
 
8.3%
구 7774
 
7.7%
소 6551
 
6.5%
대 6376
 
6.3%
여 5975
 
5.9%
터 4739
 
4.7%
센 4703
 
4.7%
주 4330
 
4.3%
민 4330
 
4.3%
Other values (299) 38907
38.5%
Common
ValueCountFrequency (%)
10573
61.0%
2 1927
 
11.1%
1 1863
 
10.8%
3 764
 
4.4%
4 514
 
3.0%
( 372
 
2.1%
) 372
 
2.1%
5 233
 
1.3%
. 149
 
0.9%
6 132
 
0.8%
Other values (9) 430
 
2.5%
Latin
ValueCountFrequency (%)
L 29
23.4%
A 19
15.3%
C 13
10.5%
G 10
 
8.1%
M 10
 
8.1%
Y 9
 
7.3%
I 9
 
7.3%
D 9
 
7.3%
U 8
 
6.5%
B 7
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100998
85.3%
ASCII 17391
 
14.7%
None 63
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10573
60.8%
2 1927
 
11.1%
1 1863
 
10.7%
3 764
 
4.4%
4 514
 
3.0%
( 372
 
2.1%
) 372
 
2.1%
5 233
 
1.3%
. 149
 
0.9%
6 132
 
0.8%
Other values (18) 492
 
2.8%
Hangul
ValueCountFrequency (%)
동 8936
 
8.8%
공 8378
 
8.3%
구 7774
 
7.7%
소 6551
 
6.5%
대 6376
 
6.3%
여 5975
 
5.9%
터 4739
 
4.7%
센 4703
 
4.7%
주 4330
 
4.3%
민 4330
 
4.3%
Other values (298) 38906
38.5%
None
ValueCountFrequency (%)
」 31
49.2%
「 31
49.2%
㈜ 1
 
1.6%

상세주소
Text

Distinct790
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T12:28:31.338847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length46
Mean length19.1645
Min length5

Characters and Unicode

Total characters191645
Distinct characters288
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

Unique80 ?
Unique (%)0.8%

Sample

1st row서울특별시 동대문구 휘경동 373
2nd row서울특별시 은평구 은평터널로 27 1층
3rd row서울특별시 영등포구 대림동 1124
4th row서울특별시 중구 장충동1가 37-14
5th row서울특별시 관악구 신림로22길 14
ValueCountFrequency (%)
서울특별시 8430
 
20.7%
송파구 1028
 
2.5%
강남구 944
 
2.3%
동작구 782
 
1.9%
영등포구 603
 
1.5%
서울시 589
 
1.4%
중구 536
 
1.3%
서울 511
 
1.3%
관악구 509
 
1.2%
은평구 419
 
1.0%
Other values (1190) 26372
64.8%
2024-05-18T12:28:32.476422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30755
 
16.0%
서 10700
 
5.6%
구 10087
 
5.3%
울 9571
 
5.0%
시 9206
 
4.8%
별 8430
 
4.4%
특 8430
 
4.4%
1 7941
 
4.1%
동 7106
 
3.7%
2 6259
 
3.3%
Other values (278) 83160
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117048
61.1%
Decimal Number 38104
 
19.9%
Space Separator 30755
 
16.0%
Dash Punctuation 3995
 
2.1%
Other Punctuation 600
 
0.3%
Close Punctuation 561
 
0.3%
Open Punctuation 561
 
0.3%
Uppercase Letter 21
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 10700
 
9.1%
구 10087
 
8.6%
울 9571
 
8.2%
시 9206
 
7.9%
별 8430
 
7.2%
특 8430
 
7.2%
동 7106
 
6.1%
로 6060
 
5.2%
길 3646
 
3.1%
강 1916
 
1.6%
Other values (261) 41896
35.8%
Decimal Number
ValueCountFrequency (%)
1 7941
20.8%
2 6259
16.4%
3 4741
12.4%
4 3463
9.1%
7 3174
 
8.3%
5 2841
 
7.5%
6 2791
 
7.3%
8 2643
 
6.9%
0 2180
 
5.7%
9 2071
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
A 11
52.4%
B 10
47.6%
Space Separator
ValueCountFrequency (%)
30755
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3995
100.0%
Other Punctuation
ValueCountFrequency (%)
, 600
100.0%
Close Punctuation
ValueCountFrequency (%)
) 561
100.0%
Open Punctuation
ValueCountFrequency (%)
( 561
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117048
61.1%
Common 74576
38.9%
Latin 21
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 10700
 
9.1%
구 10087
 
8.6%
울 9571
 
8.2%
시 9206
 
7.9%
별 8430
 
7.2%
특 8430
 
7.2%
동 7106
 
6.1%
로 6060
 
5.2%
길 3646
 
3.1%
강 1916
 
1.6%
Other values (261) 41896
35.8%
Common
ValueCountFrequency (%)
30755
41.2%
1 7941
 
10.6%
2 6259
 
8.4%
3 4741
 
6.4%
- 3995
 
5.4%
4 3463
 
4.6%
7 3174
 
4.3%
5 2841
 
3.8%
6 2791
 
3.7%
8 2643
 
3.5%
Other values (5) 5973
 
8.0%
Latin
ValueCountFrequency (%)
A 11
52.4%
B 10
47.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117048
61.1%
ASCII 74597
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30755
41.2%
1 7941
 
10.6%
2 6259
 
8.4%
3 4741
 
6.4%
- 3995
 
5.4%
4 3463
 
4.6%
7 3174
 
4.3%
5 2841
 
3.8%
6 2791
 
3.7%
8 2643
 
3.5%
Other values (7) 5994
 
8.0%
Hangul
ValueCountFrequency (%)
서 10700
 
9.1%
구 10087
 
8.6%
울 9571
 
8.2%
시 9206
 
7.9%
별 8430
 
7.2%
특 8430
 
7.2%
동 7106
 
6.1%
로 6060
 
5.2%
길 3646
 
3.1%
강 1916
 
1.6%
Other values (261) 41896
35.8%

위치(위도,경도)
Text

Distinct748
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-18T12:28:33.064348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length20.3307
Min length16

Characters and Unicode

Total characters203307
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

Unique63 ?
Unique (%)0.6%

Sample

1st row37.5929611,127.0657742
2nd row37.58416,126.89754
3rd row37.4951764,126.9032791
4th row37.56191,127.00784
5th row37.47195,126.93557
ValueCountFrequency (%)
37.4857468,126.9668711 83
 
0.8%
37.4981019,126.9530979 68
 
0.7%
37.4889376,126.91006 67
 
0.7%
37.4824625,127.0544858 64
 
0.6%
37.4887395,126.9792749 64
 
0.6%
37.5081314,126.9263503 60
 
0.6%
37.56152,127.04535 55
 
0.5%
37.49911,126.9313814 55
 
0.5%
37.56191,127.00784 55
 
0.5%
37.50863,127.07714 55
 
0.5%
Other values (738) 9374
93.7%
2024-05-18T12:28:34.255230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7 26123
12.8%
1 22062
10.9%
3 20517
10.1%
2 20259
10.0%
. 20000
9.8%
5 16183
8.0%
6 15546
7.6%
4 13591
6.7%
9 13501
6.6%
0 13035
6.4%
Other values (2) 22490
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 173307
85.2%
Other Punctuation 30000
 
14.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 26123
15.1%
1 22062
12.7%
3 20517
11.8%
2 20259
11.7%
5 16183
9.3%
6 15546
9.0%
4 13591
7.8%
9 13501
7.8%
0 13035
7.5%
8 12490
7.2%
Other Punctuation
ValueCountFrequency (%)
. 20000
66.7%
, 10000
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 203307
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
7 26123
12.8%
1 22062
10.9%
3 20517
10.1%
2 20259
10.0%
. 20000
9.8%
5 16183
8.0%
6 15546
7.6%
4 13591
6.7%
9 13501
6.6%
0 13035
6.4%
Other values (2) 22490
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 203307
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7 26123
12.8%
1 22062
10.9%
3 20517
10.1%
2 20259
10.0%
. 20000
9.8%
5 16183
8.0%
6 15546
7.6%
4 13591
6.7%
9 13501
6.6%
0 13035
6.4%
Other values (2) 22490
11.1%

위도
Real number (ℝ)

Distinct743
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.540224
Minimum37.438739
Maximum37.736041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T12:28:34.988155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.438739
5-th percentile37.476344
Q137.49667
median37.530654
Q337.574742
95-th percentile37.63502
Maximum37.736041
Range0.2973024
Interquartile range (IQR)0.0780725

Descriptive statistics

Standard deviation0.051265597
Coefficient of variation (CV)0.0013656178
Kurtosis-0.29067171
Mean37.540224
Median Absolute Deviation (MAD)0.0371667
Skewness0.62710955
Sum375402.24
Variance0.0026281615
MonotonicityNot monotonic
2024-05-18T12:28:35.843417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4857468 83
 
0.8%
37.4981019 68
 
0.7%
37.4889376 67
 
0.7%
37.4824625 64
 
0.6%
37.4887395 64
 
0.6%
37.5081314 60
 
0.6%
37.56191 55
 
0.5%
37.49911 55
 
0.5%
37.50863 55
 
0.5%
37.56152 55
 
0.5%
Other values (733) 9374
93.7%
ValueCountFrequency (%)
37.4387389 11
 
0.1%
37.44056 12
0.1%
37.4492976 20
0.2%
37.4495487 15
0.1%
37.4507147 5
 
0.1%
37.4516716 2
 
< 0.1%
37.4523569 2
 
< 0.1%
37.4535239 12
0.1%
37.4589501 17
0.2%
37.461481 28
0.3%
ValueCountFrequency (%)
37.7360413 14
 
0.1%
37.6786913 17
0.2%
37.6786204 17
0.2%
37.6729133 6
 
0.1%
37.6728818 1
 
< 0.1%
37.6696484 31
0.3%
37.66931 9
 
0.1%
37.6681901 2
 
< 0.1%
37.6681842 27
0.3%
37.6641887 41
0.4%

경도
Real number (ℝ)

Distinct742
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99563
Minimum126.52176
Maximum127.17987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T12:28:36.644601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.52176
5-th percentile126.85426
Q1126.92635
median127.00784
Q3127.0614
95-th percentile127.1284
Maximum127.17987
Range0.6581069
Interquartile range (IQR)0.1350497

Descriptive statistics

Standard deviation0.084908844
Coefficient of variation (CV)0.00066859657
Kurtosis0.23983231
Mean126.99563
Median Absolute Deviation (MAD)0.0679295
Skewness-0.29175653
Sum1269956.3
Variance0.0072095119
MonotonicityNot monotonic
2024-05-18T12:28:37.528438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9668711 83
 
0.8%
126.9530979 68
 
0.7%
126.91006 67
 
0.7%
127.0544858 64
 
0.6%
126.9792749 64
 
0.6%
126.9263503 60
 
0.6%
127.07714 55
 
0.5%
127.00784 55
 
0.5%
127.04535 55
 
0.5%
126.9313814 55
 
0.5%
Other values (732) 9374
93.7%
ValueCountFrequency (%)
126.5217583 14
0.1%
126.8058069 1
 
< 0.1%
126.8101479 4
 
< 0.1%
126.8169733 22
0.2%
126.8223129 30
0.3%
126.82717 8
 
0.1%
126.8291541 13
0.1%
126.829265 10
 
0.1%
126.8314627 19
0.2%
126.831487 9
 
0.1%
ValueCountFrequency (%)
127.1798652 1
 
< 0.1%
127.1770761 4
 
< 0.1%
127.173909 1
 
< 0.1%
127.1716122 6
0.1%
127.17111 2
 
< 0.1%
127.1683007 2
 
< 0.1%
127.16435 5
0.1%
127.1633115 4
 
< 0.1%
127.1621562 11
0.1%
127.1543085 1
 
< 0.1%

웹사이트주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

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

전화번호
Text

Distinct754
Distinct (%)7.6%
Missing22
Missing (%)0.2%
Memory size156.2 KiB
2024-05-18T12:28:38.317832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.6364
Min length1

Characters and Unicode

Total characters116108
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

Unique71 ?
Unique (%)0.7%

Sample

1st row02-2171-6429
2nd row02-351-5426
3rd row02-833-8924
4th row02-3396-8504
5th row02-878-4989
ValueCountFrequency (%)
02-820-2794 83
 
0.8%
02-820-2709 67
 
0.7%
02-3423-7670 64
 
0.6%
02-2286-7271 55
 
0.6%
02-820-2461 55
 
0.6%
02-3396-8504 52
 
0.5%
02-3423-7815 51
 
0.5%
02-820-2571 50
 
0.5%
02-3423-7353 49
 
0.5%
02-820-2483 49
 
0.5%
Other values (742) 9403
94.2%
2024-05-18T12:28:39.551718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 21856
18.8%
- 19670
16.9%
0 18285
15.7%
4 9229
7.9%
3 8755
7.5%
5 7363
 
6.3%
7 7325
 
6.3%
1 6418
 
5.5%
8 6336
 
5.5%
6 6310
 
5.4%
Other values (4) 4561
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96318
83.0%
Dash Punctuation 19670
 
16.9%
Space Separator 94
 
0.1%
Math Symbol 15
 
< 0.1%
Close Punctuation 11
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 21856
22.7%
0 18285
19.0%
4 9229
9.6%
3 8755
9.1%
5 7363
 
7.6%
7 7325
 
7.6%
1 6418
 
6.7%
8 6336
 
6.6%
6 6310
 
6.6%
9 4441
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 19670
100.0%
Space Separator
ValueCountFrequency (%)
94
100.0%
Math Symbol
ValueCountFrequency (%)
~ 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 116108
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 21856
18.8%
- 19670
16.9%
0 18285
15.7%
4 9229
7.9%
3 8755
7.5%
5 7363
 
6.3%
7 7325
 
6.3%
1 6418
 
5.5%
8 6336
 
5.5%
6 6310
 
5.4%
Other values (4) 4561
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 116108
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 21856
18.8%
- 19670
16.9%
0 18285
15.7%
4 9229
7.9%
3 8755
7.5%
5 7363
 
6.3%
7 7325
 
6.3%
1 6418
 
5.5%
8 6336
 
5.5%
6 6310
 
5.4%
Other values (4) 4561
 
3.9%

평일오픈시간
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
900
8888 
1000
 
569
<NA>
 
294
930
 
211
1030
 
36

Length

Max length4
Median length3
Mean length3.0899
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row900
2nd row900
3rd row<NA>
4th row900
5th row1000

Common Values

ValueCountFrequency (%)
900 8888
88.9%
1000 569
 
5.7%
<NA> 294
 
2.9%
930 211
 
2.1%
1030 36
 
0.4%
600 2
 
< 0.1%

Length

2024-05-18T12:28:40.112729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:28:40.488737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
900 8888
88.9%
1000 569
 
5.7%
na 294
 
2.9%
930 211
 
2.1%
1030 36
 
0.4%
600 2
 
< 0.1%

평일클로즈시간
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)0.1%
Missing294
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean1807.0276
Minimum1300
Maximum2200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T12:28:40.985941image/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 deviation56.137891
Coefficient of variation (CV)0.031066427
Kurtosis25.52529
Mean1807.0276
Median Absolute Deviation (MAD)0
Skewness2.8663369
Sum17539010
Variance3151.4628
MonotonicityNot monotonic
2024-05-18T12:28:41.424088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1800 8907
89.1%
1700 274
 
2.7%
1900 233
 
2.3%
2100 209
 
2.1%
2000 49
 
0.5%
2200 15
 
0.1%
1300 11
 
0.1%
1730 7
 
0.1%
1600 1
 
< 0.1%
(Missing) 294
 
2.9%
ValueCountFrequency (%)
1300 11
 
0.1%
1600 1
 
< 0.1%
1700 274
 
2.7%
1730 7
 
0.1%
1800 8907
89.1%
1900 233
 
2.3%
2000 49
 
0.5%
2100 209
 
2.1%
2200 15
 
0.1%
ValueCountFrequency (%)
2200 15
 
0.1%
2100 209
 
2.1%
2000 49
 
0.5%
1900 233
 
2.3%
1800 8907
89.1%
1730 7
 
0.1%
1700 274
 
2.7%
1600 1
 
< 0.1%
1300 11
 
0.1%

토요일오픈시간
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9893 
900
 
92
1000
 
14
1030
 
1

Length

Max length4
Median length4
Mean length3.9908
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9893
98.9%
900 92
 
0.9%
1000 14
 
0.1%
1030 1
 
< 0.1%

Length

2024-05-18T12:28:41.990118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:28:42.444872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9893
98.9%
900 92
 
0.9%
1000 14
 
0.1%
1030 1
 
< 0.1%

토요일클로즈시간
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9893 
1800
 
66
2100
 
27
2200
 
13
1200
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9893
98.9%
1800 66
 
0.7%
2100 27
 
0.3%
2200 13
 
0.1%
1200 1
 
< 0.1%

Length

2024-05-18T12:28:42.890087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:28:43.317444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9893
98.9%
1800 66
 
0.7%
2100 27
 
0.3%
2200 13
 
0.1%
1200 1
 
< 0.1%

일요일오픈시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9958 
900
 
41
1300
 
1

Length

Max length4
Median length4
Mean length3.9959
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 9958
99.6%
900 41
 
0.4%
1300 1
 
< 0.1%

Length

2024-05-18T12:28:43.686141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:28:44.166992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9958
99.6%
900 41
 
0.4%
1300 1
 
< 0.1%

일요일클로즈시간
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9958 
1800
 
42

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> 9958
99.6%
1800 42
 
0.4%

Length

2024-05-18T12:28:44.656130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T12:28:45.108406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9958
99.6%
1800 42
 
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)

Distinct4946
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.0195454 × 1013
Minimum2.0180123 × 1013
Maximum2.0240517 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-18T12:28:45.659938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.0180123 × 1013
5-th percentile2.0180123 × 1013
Q12.0180123 × 1013
median2.0181119 × 1013
Q32.0211108 × 1013
95-th percentile2.0230719 × 1013
Maximum2.0240517 × 1013
Range6.0393988 × 1010
Interquartile range (IQR)3.0984972 × 1010

Descriptive statistics

Standard deviation1.9261735 × 1010
Coefficient of variation (CV)0.00095376585
Kurtosis-0.805108
Mean2.0195454 × 1013
Median Absolute Deviation (MAD)9.9599067 × 108
Skewness0.80014608
Sum2.0195454 × 1017
Variance3.7101442 × 1020
MonotonicityNot monotonic
2024-05-18T12:28:46.330549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20180123173300 3307
33.1%
20180125110000 816
 
8.2%
20180202133000 422
 
4.2%
20211202120000 189
 
1.9%
20180202113000 167
 
1.7%
20180123173333 157
 
1.6%
20181120162644 2
 
< 0.1%
20220621171429 2
 
< 0.1%
20220629141922 1
 
< 0.1%
20181120160353 1
 
< 0.1%
Other values (4936) 4936
49.4%
ValueCountFrequency (%)
20180123173300 3307
33.1%
20180123173333 157
 
1.6%
20180125110000 816
 
8.2%
20180131173155 1
 
< 0.1%
20180131173237 1
 
< 0.1%
20180131173303 1
 
< 0.1%
20180131173350 1
 
< 0.1%
20180131173407 1
 
< 0.1%
20180131173434 1
 
< 0.1%
20180131173458 1
 
< 0.1%
ValueCountFrequency (%)
20240517160953 1
< 0.1%
20240517160900 1
< 0.1%
20240517160840 1
< 0.1%
20240517160758 1
< 0.1%
20240517160729 1
< 0.1%
20240517160613 1
< 0.1%
20240517160405 1
< 0.1%
20240517160342 1
< 0.1%
20240517160259 1
< 0.1%
20240517143934 1
< 0.1%

Sample

구분자(PK)공구 대분류 코드공구 대분류공구 중분류 코드공구 중분류공구 이름공구 모델과금기준요금요금(과금기준 + 요금)수량장소 PK대여장소명상세주소위치(위도,경도)위도경도웹사이트주소전화번호평일오픈시간평일클로즈시간토요일오픈시간토요일클로즈시간일요일오픈시간일요일클로즈시간공휴일오픈시간공휴일클로즈시간생성일시
592145393생활용품43기타 생활용품접이식카트<NA>1회0무료1159휘경제1동 공구대여소서울특별시 동대문구 휘경동 37337.5929611,127.065774237.592961127.065774<NA>02-2171-64299001800<NA><NA><NA><NA><NA><NA>20220629141922
522122261일반공구12목공/미장목공용 톱(톱자루+날)<NA>1일0무료1467물빛마을 공구도서관서울특별시 은평구 은평터널로 27 1층37.58416,126.8975437.58416126.89754<NA>02-351-54269001800<NA><NA><NA><NA><NA><NA>20180123173300
4863131781일반공구5망치/함마/장도리망치/함마/장도리<NA>1일0무료113178에이스공인중개사사무소공구대여소서울특별시 영등포구 대림동 112437.4951764,126.903279137.495176126.903279<NA>02-833-8924<NA><NA><NA><NA><NA><NA><NA><NA>20211202120000
1588163641일반공구19기타 일반공구4인치 절단석(A형)<NA>1회0무료150492장충동 공구대여소서울특별시 중구 장충동1가 37-1437.56191,127.0078437.56191127.00784<NA>02-3396-85049001800<NA><NA><NA><NA><NA><NA>20240509205609
540768731일반공구2몽키/렌치/스패너경량 몽키렌치<NA>1회0무료1221경록공인중개사사무소서울특별시 관악구 신림로22길 1437.47195,126.9355737.47195126.93557<NA>02-878-498910001900<NA><NA><NA><NA><NA><NA>20180123173300
20155934기타공구44기타공구ㄷ형 타카핀<NA>1일01일 200원1013320성내1동주민센터서울특별시 강동구 성내동 539-137.5304417,127.12242537.530442127.122425<NA>02-3425-77729001800<NA><NA><NA><NA><NA><NA>20230504124139
293179151일반공구3니퍼/펜치/플라이어롱로즈<NA>1일0무료1182서교동 잔다리공구대여센터서울 마포구 동교로15길737.5551333,126.912378937.555133126.912379<NA>02-3153-67429001800<NA><NA><NA><NA><NA><NA>20180125110000
782775991일반공구8자/측정공구수평계<NA>1회0무료1168사당5동주민센터 공구대여소서울특별시 동작구 사당로2가길 21937.4857468,126.966871137.485747126.966871<NA>02-820-27949001800<NA><NA><NA><NA><NA><NA>20180125110000
9262142721일반공구10타카/접착용품글루건 심<NA>1일0무료20488소공동 공구대여소서울특별시 중구 북창동 20-537.56242,126.9770437.56242126.97704<NA>02-3396-65079001800<NA><NA><NA><NA><NA><NA>20220623192751
1679133851일반공구19기타 일반공구기타 일반공구<NA>1일0무료113194아크로부동산공인중개사사무소공구대여소서울특별시 영등포구 영등포동7가 20537.5238319,126.90744437.523832126.907444<NA>02-2068-2340<NA><NA><NA><NA><NA><NA><NA><NA>20211202120000
구분자(PK)공구 대분류 코드공구 대분류공구 중분류 코드공구 중분류공구 이름공구 모델과금기준요금요금(과금기준 + 요금)수량장소 PK대여장소명상세주소위치(위도,경도)위도경도웹사이트주소전화번호평일오픈시간평일클로즈시간토요일오픈시간토요일클로즈시간일요일오픈시간일요일클로즈시간공휴일오픈시간공휴일클로즈시간생성일시
7837140111일반공구8자/측정공구수평기<NA>1일01일 300원168보라매동주민센터 가정용공구대여소서울특별시 관악구 봉천로 279-837.4881304,126.930584337.48813126.930584<NA>02-879-42099001800<NA><NA><NA><NA><NA><NA>20220621193243
774135553생활용품35사무가전현대오피스 A4코팅기<NA>1일01일 1000원1489회현동 공구대여소서울특별시 중구 회현동1가 16437.5572864,126.979321637.557286126.979322<NA>02-3396-65589001800<NA><NA><NA><NA><NA><NA>20220614171326
1042324561일반공구7톱/낫/삽/원예공구전지톱<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
6885116121일반공구2몽키/렌치/스패너파이프렌치<NA>1회0무료113060충현동주민센터 공구대여소서울특별시 서대문구 북아현동 1-9037.5648207,126.954688537.564821126.954689<NA>02-330-81789001800<NA><NA><NA><NA><NA><NA>20201127105742
7719117731일반공구8자/측정공구(6)줄자<NA>1회0무료1172우리마을 공구대여소(사당1동)서울 동작구 동작대로17길 2837.4830324,126.976566137.483032126.976566<NA>02-820-25719001800<NA><NA><NA><NA><NA><NA>20201127142441
922066641일반공구10타카/접착용품글루건<NA>1일0무료1192홍은1동 공구대여소서울 서대문구 홍은중앙로8537.5988191,126.94493437.598819126.944934<NA>02-330-84699001800<NA><NA><NA><NA><NA><NA>20180123173300
115128082전동공구29비트보쉬멀티기리세트<NA>1일01일 500원173신원동 공구대여소서울특별시 관악구 신원로3길 1337.4816106,126.927379937.481611126.92738<NA>02-879-47149001800<NA><NA><NA><NA><NA><NA>20180123173300
112821712전동공구34기타 전동공구직소기<NA>1일01일 500원131성내2동 공구도서관서울시 강동구 풍성로37가길 6237.5323918,127.127339237.532392127.127339<NA>02-3425-77939001800<NA><NA><NA><NA><NA><NA>20180123173333
36101511일반공구3니퍼/펜치/플라이어펜치<NA>1일01일 300원129천호3동 공구도서관서울특별시 강동구 천호동 447-17 16층 천호3동 주민센터37.5361781,127.133230637.536178127.133231<NA>02-3425-77589001800<NA><NA><NA><NA><NA><NA>20180123173333
453860611일반공구4드라이버주먹양용드라이버 5개<NA>1일0무료5255성북정보도서관 내 공구도서관 운영서울특별시 성북구 화랑로 18자길1337.6049207,127.050592137.604921127.050592<NA>02-962-1081900180090018009001800<NA><NA>20180123173300