Overview

Dataset statistics

Number of variables32
Number of observations33
Missing cells561
Missing cells (%)53.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.2 KiB
Average record size in memory284.0 B

Variable types

Text3
Categorical4
Unsupported17
Numeric5
DateTime3

Dataset

Description파일 다운로드
Author강남구
URLhttps://data.seoul.go.kr/dataList/OA-15000/S/1/datasetView.do

Alerts

사업장구분 has constant value ""Constant
전기승합자동차보유대수 has constant value ""Constant
평일운영시작시각 has constant value ""Constant
평일운영종료시각 has constant value ""Constant
전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전기승용자동차보유대수 is highly imbalanced (70.8%)Imbalance
소재지지번주소 has 33 (100.0%) missing valuesMissing
차고지지번주소 has 33 (100.0%) missing valuesMissing
보유차고지수용능력 has 33 (100.0%) missing valuesMissing
경차요금 has 33 (100.0%) missing valuesMissing
소형차요금 has 33 (100.0%) missing valuesMissing
중형차요금 has 33 (100.0%) missing valuesMissing
대형차요금 has 33 (100.0%) missing valuesMissing
승합차요금 has 33 (100.0%) missing valuesMissing
레저용차요금 has 33 (100.0%) missing valuesMissing
수입차요금 has 33 (100.0%) missing valuesMissing
주말운영시작시각 has 33 (100.0%) missing valuesMissing
주말운영종료시각 has 33 (100.0%) missing valuesMissing
공휴일운영시작시각 has 33 (100.0%) missing valuesMissing
공휴일운영종료시각 has 33 (100.0%) missing valuesMissing
휴무일 has 33 (100.0%) missing valuesMissing
홈페이지주소 has 33 (100.0%) missing valuesMissing
대표자명 has 33 (100.0%) missing valuesMissing
업체명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
경도 has unique valuesUnique
차고지도로명주소 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
차고지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
보유차고지수용능력 is an unsupported type, check if it needs cleaning or further analysisUnsupported
경차요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소형차요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
중형차요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대형차요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
승합차요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
레저용차요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
수입차요금 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주말운영시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주말운영종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공휴일운영시작시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
공휴일운영종료시각 is an unsupported type, check if it needs cleaning or further analysisUnsupported
휴무일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
홈페이지주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
대표자명 is an unsupported type, check if it needs cleaning or further analysisUnsupported
승합차보유대수 has 9 (27.3%) zerosZeros

Reproduction

Analysis started2023-12-11 04:33:30.110644
Analysis finished2023-12-11 04:33:30.574304
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T13:33:30.758289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length6.3030303
Min length3

Characters and Unicode

Total characters208
Distinct characters80
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row굿데이렌트카
2nd row굿렌트카
3rd row그린카
4th row뉴삼보렌트카
5th row로얄렌트카
ValueCountFrequency (%)
굿데이렌트카 1
 
3.0%
하이렌터카 1
 
3.0%
대박렌트카 1
 
3.0%
미스터제이케이렌트카 1
 
3.0%
스피드원렌트카 1
 
3.0%
이안카 1
 
3.0%
몬스터렌터카 1
 
3.0%
플립에이티에스 1
 
3.0%
크레아모터스 1
 
3.0%
폭스바겐파이낸셜서비스코리아 1
 
3.0%
Other values (23) 23
69.7%
2023-12-11T13:33:31.207992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
11.1%
18
 
8.7%
18
 
8.7%
16
 
7.7%
13
 
6.2%
7
 
3.4%
6
 
2.9%
5
 
2.4%
3
 
1.4%
3
 
1.4%
Other values (70) 96
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 205
98.6%
Decimal Number 3
 
1.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23
 
11.2%
18
 
8.8%
18
 
8.8%
16
 
7.8%
13
 
6.3%
7
 
3.4%
6
 
2.9%
5
 
2.4%
3
 
1.5%
3
 
1.5%
Other values (67) 93
45.4%
Decimal Number
ValueCountFrequency (%)
4 1
33.3%
5 1
33.3%
3 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 205
98.6%
Common 3
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23
 
11.2%
18
 
8.8%
18
 
8.8%
16
 
7.8%
13
 
6.3%
7
 
3.4%
6
 
2.9%
5
 
2.4%
3
 
1.5%
3
 
1.5%
Other values (67) 93
45.4%
Common
ValueCountFrequency (%)
4 1
33.3%
5 1
33.3%
3 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 205
98.6%
ASCII 3
 
1.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
23
 
11.2%
18
 
8.8%
18
 
8.8%
16
 
7.8%
13
 
6.3%
7
 
3.4%
6
 
2.9%
5
 
2.4%
3
 
1.5%
3
 
1.5%
Other values (67) 93
45.4%
ASCII
ValueCountFrequency (%)
4 1
33.3%
5 1
33.3%
3 1
33.3%

사업장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
주사업장
33 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주사업장 33
100.0%

Length

2023-12-11T13:33:31.394094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:31.502957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주사업장 33
100.0%
Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T13:33:32.091195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length33.333333
Min length20

Characters and Unicode

Total characters1100
Distinct characters115
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 논현로146길 36, 지층(논현동)
2nd row서울특별시 강남구 개포로623, 209호(개포동, 대청타워)
3rd row서울특별시 강남구 테헤란로70길 16, 6층(대치동, 동산빌딩)
4th row서울특별시 강남구 개포로 138길 23, 지하 101호(일원동)
5th row서울특별시 강남구 학동로165, 204호(논현동, 마일스디오빌)
ValueCountFrequency (%)
서울특별시 33
 
17.2%
강남구 33
 
17.2%
논현로 4
 
2.1%
36 2
 
1.0%
역삼동 2
 
1.0%
봉은사로 2
 
1.0%
a동 2
 
1.0%
지층(논현동 2
 
1.0%
테헤란로 2
 
1.0%
6 2
 
1.0%
Other values (106) 108
56.2%
2023-12-11T13:33:32.582756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
159
 
14.5%
, 49
 
4.5%
42
 
3.8%
39
 
3.5%
37
 
3.4%
34
 
3.1%
33
 
3.0%
33
 
3.0%
33
 
3.0%
33
 
3.0%
Other values (105) 608
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 639
58.1%
Decimal Number 187
 
17.0%
Space Separator 159
 
14.5%
Other Punctuation 49
 
4.5%
Close Punctuation 31
 
2.8%
Open Punctuation 31
 
2.8%
Uppercase Letter 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
6.6%
39
 
6.1%
37
 
5.8%
34
 
5.3%
33
 
5.2%
33
 
5.2%
33
 
5.2%
33
 
5.2%
33
 
5.2%
33
 
5.2%
Other values (88) 289
45.2%
Decimal Number
ValueCountFrequency (%)
1 31
16.6%
3 27
14.4%
2 24
12.8%
0 24
12.8%
6 19
10.2%
4 18
9.6%
5 18
9.6%
8 10
 
5.3%
7 9
 
4.8%
9 7
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
B 1
25.0%
D 1
25.0%
Space Separator
ValueCountFrequency (%)
159
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 639
58.1%
Common 457
41.5%
Latin 4
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
6.6%
39
 
6.1%
37
 
5.8%
34
 
5.3%
33
 
5.2%
33
 
5.2%
33
 
5.2%
33
 
5.2%
33
 
5.2%
33
 
5.2%
Other values (88) 289
45.2%
Common
ValueCountFrequency (%)
159
34.8%
, 49
 
10.7%
) 31
 
6.8%
1 31
 
6.8%
( 31
 
6.8%
3 27
 
5.9%
2 24
 
5.3%
0 24
 
5.3%
6 19
 
4.2%
4 18
 
3.9%
Other values (4) 44
 
9.6%
Latin
ValueCountFrequency (%)
A 2
50.0%
B 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 639
58.1%
ASCII 461
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
159
34.5%
, 49
 
10.6%
) 31
 
6.7%
1 31
 
6.7%
( 31
 
6.7%
3 27
 
5.9%
2 24
 
5.2%
0 24
 
5.2%
6 19
 
4.1%
4 18
 
3.9%
Other values (7) 48
 
10.4%
Hangul
ValueCountFrequency (%)
42
 
6.6%
39
 
6.1%
37
 
5.8%
34
 
5.3%
33
 
5.2%
33
 
5.2%
33
 
5.2%
33
 
5.2%
33
 
5.2%
33
 
5.2%
Other values (88) 289
45.2%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

위도
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.501399
Minimum37.463147
Maximum37.525362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T13:33:32.754184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.463147
5-th percentile37.469905
Q137.491414
median37.50526
Q337.511633
95-th percentile37.522067
Maximum37.525362
Range0.062215
Interquartile range (IQR)0.02021881

Descriptive statistics

Standard deviation0.016321602
Coefficient of variation (CV)0.00043522648
Kurtosis-0.082019567
Mean37.501399
Median Absolute Deviation (MAD)0.010917949
Skewness-0.78145303
Sum1237.5462
Variance0.00026639468
MonotonicityNot monotonic
2023-12-11T13:33:32.918894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
37.51862377 2
 
6.1%
37.503625 1
 
3.0%
37.5189581644 1
 
3.0%
37.5052604993 1
 
3.0%
37.50832186 1
 
3.0%
37.49141419 1
 
3.0%
37.46929009 1
 
3.0%
37.48806826 1
 
3.0%
37.50144449 1
 
3.0%
37.525362 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
37.463147 1
3.0%
37.46929009 1
3.0%
37.47031417 1
3.0%
37.47367321 1
3.0%
37.48106281 1
3.0%
37.487012 1
3.0%
37.48806826 1
3.0%
37.490051 1
3.0%
37.49141419 1
3.0%
37.494333 1
3.0%
ValueCountFrequency (%)
37.525362 1
3.0%
37.523056 1
3.0%
37.521407 1
3.0%
37.5189581644 1
3.0%
37.51862377 2
6.1%
37.513823 1
3.0%
37.512605 1
3.0%
37.511633 1
3.0%
37.51131298 1
3.0%
37.5099078 1
3.0%

경도
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05528
Minimum127.02342
Maximum127.11914
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T13:33:33.107233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02342
5-th percentile127.02717
Q1127.03461
median127.04996
Q3127.06551
95-th percentile127.1095
Maximum127.11914
Range0.0957273
Interquartile range (IQR)0.030907873

Descriptive statistics

Standard deviation0.0267956
Coefficient of variation (CV)0.00021089717
Kurtosis0.34682919
Mean127.05528
Median Absolute Deviation (MAD)0.015552
Skewness1.0769912
Sum4192.8243
Variance0.00071800418
MonotonicityNot monotonic
2023-12-11T13:33:33.353940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
127.031825 1
 
3.0%
127.042608 1
 
3.0%
127.034859 1
 
3.0%
127.1186383 1
 
3.0%
127.056561 1
 
3.0%
127.0553398 1
 
3.0%
127.032129 1
 
3.0%
127.0547884 1
 
3.0%
127.0401476 1
 
3.0%
127.079623 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
127.0234167 1
3.0%
127.024473 1
3.0%
127.028967 1
3.0%
127.0302196666 1
3.0%
127.031825 1
3.0%
127.0318404 1
3.0%
127.032129 1
3.0%
127.0328498 1
3.0%
127.0346051272 1
3.0%
127.034859 1
3.0%
ValueCountFrequency (%)
127.119144 1
3.0%
127.1186383 1
3.0%
127.103406 1
3.0%
127.103201 1
3.0%
127.0860773 1
3.0%
127.0832536 1
3.0%
127.079623 1
3.0%
127.066746 1
3.0%
127.065513 1
3.0%
127.065363 1
3.0%
Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-11T13:33:33.686694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length29
Mean length23.363636
Min length17

Characters and Unicode

Total characters771
Distinct characters130
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

Unique33 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 방이동 42-5, 7 기계식주차타워
2nd row서울특별시 강남구 논현동 192-9
3rd row서울특별시 마포구 상수동 72-1
4th row서울특별시 서초구 양재동 225 외 3필지
5th row서울특별시 마포구 대흥동 794외4필지 대승주차장
ValueCountFrequency (%)
서울특별시 32
 
20.0%
서초구 5
 
3.1%
마포구 4
 
2.5%
송파구 3
 
1.9%
양천구 3
 
1.9%
3
 
1.9%
양재동 3
 
1.9%
영등포구 3
 
1.9%
강남구 3
 
1.9%
주차장 2
 
1.2%
Other values (94) 99
61.9%
2023-12-11T13:33:34.221756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
127
 
16.5%
42
 
5.4%
35
 
4.5%
33
 
4.3%
32
 
4.2%
32
 
4.2%
32
 
4.2%
2 27
 
3.5%
22
 
2.9%
1 21
 
2.7%
Other values (120) 368
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
62.9%
Decimal Number 132
 
17.1%
Space Separator 127
 
16.5%
Dash Punctuation 14
 
1.8%
Other Punctuation 5
 
0.6%
Open Punctuation 3
 
0.4%
Close Punctuation 3
 
0.4%
Lowercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
8.7%
35
 
7.2%
33
 
6.8%
32
 
6.6%
32
 
6.6%
32
 
6.6%
22
 
4.5%
17
 
3.5%
9
 
1.9%
8
 
1.6%
Other values (103) 223
46.0%
Decimal Number
ValueCountFrequency (%)
2 27
20.5%
1 21
15.9%
4 14
10.6%
5 14
10.6%
3 14
10.6%
7 12
9.1%
9 9
 
6.8%
6 8
 
6.1%
8 7
 
5.3%
0 6
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
j 1
50.0%
a 1
50.0%
Space Separator
ValueCountFrequency (%)
127
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
62.9%
Common 284
36.8%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
8.7%
35
 
7.2%
33
 
6.8%
32
 
6.6%
32
 
6.6%
32
 
6.6%
22
 
4.5%
17
 
3.5%
9
 
1.9%
8
 
1.6%
Other values (103) 223
46.0%
Common
ValueCountFrequency (%)
127
44.7%
2 27
 
9.5%
1 21
 
7.4%
4 14
 
4.9%
- 14
 
4.9%
5 14
 
4.9%
3 14
 
4.9%
7 12
 
4.2%
9 9
 
3.2%
6 8
 
2.8%
Other values (5) 24
 
8.5%
Latin
ValueCountFrequency (%)
j 1
50.0%
a 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
62.9%
ASCII 286
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
127
44.4%
2 27
 
9.4%
1 21
 
7.3%
4 14
 
4.9%
- 14
 
4.9%
5 14
 
4.9%
3 14
 
4.9%
7 12
 
4.2%
9 9
 
3.1%
6 8
 
2.8%
Other values (7) 26
 
9.1%
Hangul
ValueCountFrequency (%)
42
 
8.7%
35
 
7.2%
33
 
6.8%
32
 
6.6%
32
 
6.6%
32
 
6.6%
22
 
4.5%
17
 
3.5%
9
 
1.9%
8
 
1.6%
Other values (103) 223
46.0%

차고지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

보유차고지수용능력
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

자동차총보유대수
Real number (ℝ)

Distinct30
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean232.90909
Minimum6
Maximum1609
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T13:33:34.369180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile45.8
Q158
median97
Q3278
95-th percentile754.8
Maximum1609
Range1603
Interquartile range (IQR)220

Descriptive statistics

Standard deviation321.91462
Coefficient of variation (CV)1.3821471
Kurtosis10.045961
Mean232.90909
Median Absolute Deviation (MAD)47
Skewness2.9023795
Sum7686
Variance103629.02
MonotonicityNot monotonic
2023-12-11T13:33:34.553006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
50 3
 
9.1%
80 2
 
6.1%
163 1
 
3.0%
97 1
 
3.0%
209 1
 
3.0%
41 1
 
3.0%
64 1
 
3.0%
6 1
 
3.0%
49 1
 
3.0%
720 1
 
3.0%
Other values (20) 20
60.6%
ValueCountFrequency (%)
6 1
 
3.0%
41 1
 
3.0%
49 1
 
3.0%
50 3
9.1%
52 1
 
3.0%
57 1
 
3.0%
58 1
 
3.0%
59 1
 
3.0%
60 1
 
3.0%
64 1
 
3.0%
ValueCountFrequency (%)
1609 1
3.0%
807 1
3.0%
720 1
3.0%
599 1
3.0%
589 1
3.0%
368 1
3.0%
309 1
3.0%
283 1
3.0%
278 1
3.0%
209 1
3.0%

승용차보유대수
Real number (ℝ)

Distinct32
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223.75758
Minimum3
Maximum1602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T13:33:34.716687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile14.8
Q150
median91
Q3267
95-th percentile747.2
Maximum1602
Range1599
Interquartile range (IQR)217

Descriptive statistics

Standard deviation322.38923
Coefficient of variation (CV)1.4407969
Kurtosis10.038731
Mean223.75758
Median Absolute Deviation (MAD)67
Skewness2.8959907
Sum7384
Variance103934.81
MonotonicityNot monotonic
2023-12-11T13:33:34.906693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
47 2
 
6.1%
159 1
 
3.0%
4 1
 
3.0%
121 1
 
3.0%
57 1
 
3.0%
60 1
 
3.0%
3 1
 
3.0%
720 1
 
3.0%
49 1
 
3.0%
63 1
 
3.0%
Other values (22) 22
66.7%
ValueCountFrequency (%)
3 1
3.0%
4 1
3.0%
22 1
3.0%
24 1
3.0%
31 1
3.0%
47 2
6.1%
49 1
3.0%
50 1
3.0%
57 1
3.0%
58 1
3.0%
ValueCountFrequency (%)
1602 1
3.0%
788 1
3.0%
720 1
3.0%
586 1
3.0%
583 1
3.0%
363 1
3.0%
304 1
3.0%
268 1
3.0%
267 1
3.0%
205 1
3.0%

승합차보유대수
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)48.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9393939
Minimum0
Maximum49
Zeros9
Zeros (%)27.3%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-11T13:33:35.052927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q37
95-th percentile25
Maximum49
Range49
Interquartile range (IQR)7

Descriptive statistics

Standard deviation10.496843
Coefficient of variation (CV)1.5126455
Kurtosis7.4289867
Mean6.9393939
Median Absolute Deviation (MAD)3
Skewness2.5019056
Sum229
Variance110.18371
MonotonicityNot monotonic
2023-12-11T13:33:35.227059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 9
27.3%
1 4
12.1%
5 4
12.1%
2 3
 
9.1%
4 2
 
6.1%
6 1
 
3.0%
28 1
 
3.0%
49 1
 
3.0%
7 1
 
3.0%
15 1
 
3.0%
Other values (6) 6
18.2%
ValueCountFrequency (%)
0 9
27.3%
1 4
12.1%
2 3
 
9.1%
3 1
 
3.0%
4 2
 
6.1%
5 4
12.1%
6 1
 
3.0%
7 1
 
3.0%
11 1
 
3.0%
14 1
 
3.0%
ValueCountFrequency (%)
49 1
3.0%
28 1
3.0%
23 1
3.0%
19 1
3.0%
16 1
3.0%
15 1
3.0%
14 1
3.0%
11 1
3.0%
7 1
3.0%
6 1
3.0%

전기승용자동차보유대수
Categorical

IMBALANCE 

Distinct4
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
30 
1
 
1
55
 
1
17
 
1

Length

Max length2
Median length1
Mean length1.0606061
Min length1

Unique

Unique3 ?
Unique (%)9.1%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
0 30
90.9%
1 1
 
3.0%
55 1
 
3.0%
17 1
 
3.0%

Length

2023-12-11T13:33:35.385360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:35.516640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
90.9%
1 1
 
3.0%
55 1
 
3.0%
17 1
 
3.0%

전기승합자동차보유대수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
0
33 

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 33
100.0%

Length

2023-12-11T13:33:35.664225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:35.775468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 33
100.0%

경차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

소형차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

중형차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

대형차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

승합차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

레저용차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

수입차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B
Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 00:00:00
2023-12-11T13:33:35.868767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:33:35.958289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2023-12-11 00:00:00
Maximum2023-12-11 00:00:00
2023-12-11T13:33:36.051373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:33:36.143238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

주말운영시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

주말운영종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

공휴일운영시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

공휴일운영종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

휴무일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

대표자명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing33
Missing (%)100.0%
Memory size429.0 B

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
00-000-0000
33 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00-000-0000
2nd row00-000-0000
3rd row00-000-0000
4th row00-000-0000
5th row00-000-0000

Common Values

ValueCountFrequency (%)
00-000-0000 33
100.0%

Length

2023-12-11T13:33:36.272029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:36.376742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00-000-0000 33
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
Minimum2020-06-25 00:00:00
Maximum2020-06-25 00:00:00
2023-12-11T13:33:36.468926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T13:33:36.558770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

업체명사업장구분소재지도로명주소소재지지번주소위도경도차고지도로명주소차고지지번주소보유차고지수용능력자동차총보유대수승용차보유대수승합차보유대수전기승용자동차보유대수전기승합자동차보유대수경차요금소형차요금중형차요금대형차요금승합차요금레저용차요금수입차요금평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각공휴일운영시작시각공휴일운영종료시각휴무일홈페이지주소대표자명전화번호데이터기준일자
0굿데이렌트카주사업장서울특별시 강남구 논현로146길 36, 지층(논현동)<NA>37.518624127.031825서울특별시 송파구 방이동 42-5, 7 기계식주차타워<NA><NA>163159400<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
1굿렌트카주사업장서울특별시 강남구 개포로623, 209호(개포동, 대청타워)<NA>37.494343127.079623서울특별시 강남구 논현동 192-9<NA><NA>6868000<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
2그린카주사업장서울특별시 강남구 테헤란로70길 16, 6층(대치동, 동산빌딩)<NA>37.504402127.053284서울특별시 마포구 상수동 72-1<NA><NA>130130000<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
3뉴삼보렌트카주사업장서울특별시 강남구 개포로 138길 23, 지하 101호(일원동)<NA>37.494333127.086077서울특별시 서초구 양재동 225 외 3필지<NA><NA>5047210<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
4로얄렌트카주사업장서울특별시 강남구 학동로165, 204호(논현동, 마일스디오빌)<NA>37.513823127.028967서울특별시 마포구 대흥동 794외4필지 대승주차장<NA><NA>110108200<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
5마춤카주사업장서울특별시 강남구 헌릉로 570길 34, 501호 (세곡동, 리엔파크프라자)<NA>37.463147127.103406서울특별시 종로구 삼일대로 437<NA><NA>5995831600<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
6보배렌트카주사업장서울특별시 강남구 광평로10길50, 2층 45호(일원동, 청솔상가)<NA>37.481063127.083254서울특별시 중구 난계로 17길35<NA><NA>8786100<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
7샤이어렌트카주사업장서울특별시 강남구 학동로8길 9, 3층(논현동, 옥남빌딩)<NA>37.511313127.024473서울특별시 서초구 서초대로 320 하림인터내셔날빌딩주차장<NA><NA>5958100<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
8스타렌트카주사업장서울특별시 강남구 논현로 146길 36, 지층(논현동)<NA>37.518624127.03184서울특별시 영등포구 국제금융로2길 37 에스트레뉴 주차장<NA><NA>368363500<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
9씨앤에이치프리미어렌탈주사업장서울특별시 강남구 삼성로86길 23, 3층(대치동, 구일빌딩)<NA>37.506111127.059278서울특별시 양천구 신정로 167<NA><NA>8077881900<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
업체명사업장구분소재지도로명주소소재지지번주소위도경도차고지도로명주소차고지지번주소보유차고지수용능력자동차총보유대수승용차보유대수승합차보유대수전기승용자동차보유대수전기승합자동차보유대수경차요금소형차요금중형차요금대형차요금승합차요금레저용차요금수입차요금평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각공휴일운영시작시각공휴일운영종료시각휴무일홈페이지주소대표자명전화번호데이터기준일자
23알씨아이인슈어런스서비스코리아주사업장서울특별시 강남구 강남대로 298, 12층(역삼동, 푸르덴셜타워)<NA>37.490051127.032129서울특별시 은평구 구산동 340-1 외 3필지<NA><NA>5830550<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
24폭스바겐파이낸셜서비스코리아주사업장서울특별시 강남구 영동대로 731(청담동, 신영빌딩)<NA>37.523056127.054788인천광역시 서구 원창동 440-1<NA><NA>720720000<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
25크레아모터스주사업장서울특별시 강남구 도산대로59길 26, 2층(청담동, 히든힐하우스)<NA>37.525362127.042608서울특별시 노원구 하계동 282, aj파크 노원하계점<NA><NA>4949000<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
26플립에이티에스주사업장서울특별시 강남구 테헤란로 216, 4층(역삼동, 신웅빌딩)<NA>37.501444127.040148서울특별시 성북구 장위동 79-1<NA><NA>64200<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
27몬스터렌터카주사업장서울특별시 강남구 언주로30길 56, D동 1206호 (도곡동, 타워팰리스)<NA>37.488068127.053483서울특별시 서초구 양재대로 12길25 양재필주차장<NA><NA>6463100<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
28이안카주사업장서울특별시 강남구 헌릉로745길 25, 213호(율현동)<NA>37.46929127.119144서울특별시 은평구 가좌로5길 16(응암동)<NA><NA>80314900<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
29스피드원렌트카주사업장서울특별시 강남구 논현로 213, 지하층 114호(도곡동)<NA>37.491414127.040997서울특별시 서초구 양재동 225, 225-4, 225-5, 226<NA><NA>50222800<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
30미스터제이케이렌트카주사업장서울특별시 강남구 학동로2길 50, 409호(논현동, 명성빌딩)<NA>37.508322127.023417서울특별시 성북구 삼선동 2가 389<NA><NA>41240170<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
31대박렌트카주사업장서울특별시 강남구 논현로 105길51,지하1층<NA>37.50526127.03022서울특별시 강남구 역삼동 613-7<NA><NA>5050000<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25
32지모터스주사업장서울특별시 강남구 언주로 723,3층<NA>37.518958127.034605서울특별시 양천구 목동 908-26 목동체비지 주차장<NA><NA>209205400<NA><NA><NA><NA><NA><NA><NA>00:0000:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002020-06-25