Overview

Dataset statistics

Number of variables32
Number of observations29
Missing cells493
Missing cells (%)53.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.0 KiB
Average record size in memory283.6 B

Variable types

Text4
Categorical7
Unsupported17
Numeric4

Dataset

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

Alerts

사업장구분 has constant value ""Constant
전기승용자동차보유대수 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
소재지지번주소 has 29 (100.0%) missing valuesMissing
차고지지번주소 has 29 (100.0%) missing valuesMissing
보유차고지수용능력 has 29 (100.0%) missing valuesMissing
경차요금 has 29 (100.0%) missing valuesMissing
소형차요금 has 29 (100.0%) missing valuesMissing
중형차요금 has 29 (100.0%) missing valuesMissing
대형차요금 has 29 (100.0%) missing valuesMissing
승합차요금 has 29 (100.0%) missing valuesMissing
레저용차요금 has 29 (100.0%) missing valuesMissing
수입차요금 has 29 (100.0%) missing valuesMissing
주말운영시작시각 has 29 (100.0%) missing valuesMissing
주말운영종료시각 has 29 (100.0%) missing valuesMissing
공휴일운영시작시각 has 29 (100.0%) missing valuesMissing
공휴일운영종료시각 has 29 (100.0%) missing valuesMissing
휴무일 has 29 (100.0%) missing valuesMissing
홈페이지주소 has 29 (100.0%) missing valuesMissing
대표자명 has 29 (100.0%) missing valuesMissing
업체명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
차고지도로명주소 has unique valuesUnique
자동차총보유대수 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
승용차보유대수 has 1 (3.4%) zerosZeros
승합차보유대수 has 8 (27.6%) zerosZeros

Reproduction

Analysis started2023-12-11 04:33:52.685273
Analysis finished2023-12-11 04:33:53.067758
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T13:33:53.221846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length8
Mean length5.3103448
Min length3

Characters and Unicode

Total characters154
Distinct characters62
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row굿데이렌트카
2nd row굿렌트카
3rd row그린카
4th row뉴삼보렌트카
5th row뉴스마트
ValueCountFrequency (%)
굿데이렌트카 1
 
3.4%
에스에스오토랜드 1
 
3.4%
네버투어 1
 
3.4%
한강렌트카 1
 
3.4%
하이렌터카 1
 
3.4%
플레이렌트카 1
 
3.4%
플러스그린렌트카 1
 
3.4%
차세대렌트카 1
 
3.4%
인지카 1
 
3.4%
이지원카 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T13:33:53.637118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
15.6%
18
 
11.7%
15
 
9.7%
9
 
5.8%
8
 
5.2%
5
 
3.2%
3
 
1.9%
3
 
1.9%
3
 
1.9%
2
 
1.3%
Other values (52) 64
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 154
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
15.6%
18
 
11.7%
15
 
9.7%
9
 
5.8%
8
 
5.2%
5
 
3.2%
3
 
1.9%
3
 
1.9%
3
 
1.9%
2
 
1.3%
Other values (52) 64
41.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 154
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
15.6%
18
 
11.7%
15
 
9.7%
9
 
5.8%
8
 
5.2%
5
 
3.2%
3
 
1.9%
3
 
1.9%
3
 
1.9%
2
 
1.3%
Other values (52) 64
41.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 154
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
24
 
15.6%
18
 
11.7%
15
 
9.7%
9
 
5.8%
8
 
5.2%
5
 
3.2%
3
 
1.9%
3
 
1.9%
3
 
1.9%
2
 
1.3%
Other values (52) 64
41.6%

사업장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
주사업장
29 

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 29
100.0%

Length

2023-12-11T13:33:53.790880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:53.918975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주사업장 29
100.0%
Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T13:33:54.158485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length33.068966
Min length23

Characters and Unicode

Total characters959
Distinct characters104
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

Unique29 ?
Unique (%)100.0%

Sample

1st row서울특별시 강남구 도곡로 28길 8, 205호 (도곡동, 도곡1차 아이파크상가)
2nd row서울특별시 강남구 개포로623,209호(개포동,대청타워)
3rd row서울특별시 강남구 테헤란로70길 16, 6층(대치동, 동산빌딩)
4th row서울특별시 강남구 개포로 140길 18 (일원동)
5th row서울특별시 강남구 논현로72길16(역삼동,초원빌딩 4층)
ValueCountFrequency (%)
서울특별시 29
 
19.0%
강남구 29
 
19.0%
역삼동 4
 
2.6%
논현로 3
 
2.0%
11층 2
 
1.3%
테헤란로 2
 
1.3%
4층 2
 
1.3%
545 2
 
1.3%
삼성동 2
 
1.3%
8 2
 
1.3%
Other values (75) 76
49.7%
2023-12-11T13:33:54.583714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
 
12.9%
, 43
 
4.5%
38
 
4.0%
33
 
3.4%
31
 
3.2%
30
 
3.1%
29
 
3.0%
1 29
 
3.0%
29
 
3.0%
29
 
3.0%
Other values (94) 544
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 569
59.3%
Decimal Number 165
 
17.2%
Space Separator 124
 
12.9%
Other Punctuation 43
 
4.5%
Close Punctuation 28
 
2.9%
Open Punctuation 28
 
2.9%
Uppercase Letter 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
 
6.7%
33
 
5.8%
31
 
5.4%
30
 
5.3%
29
 
5.1%
29
 
5.1%
29
 
5.1%
29
 
5.1%
29
 
5.1%
29
 
5.1%
Other values (78) 263
46.2%
Decimal Number
ValueCountFrequency (%)
1 29
17.6%
0 25
15.2%
4 21
12.7%
2 20
12.1%
5 18
10.9%
3 17
10.3%
6 14
8.5%
8 10
 
6.1%
7 8
 
4.8%
9 3
 
1.8%
Space Separator
ValueCountFrequency (%)
124
100.0%
Other Punctuation
ValueCountFrequency (%)
, 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 569
59.3%
Common 389
40.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
 
6.7%
33
 
5.8%
31
 
5.4%
30
 
5.3%
29
 
5.1%
29
 
5.1%
29
 
5.1%
29
 
5.1%
29
 
5.1%
29
 
5.1%
Other values (78) 263
46.2%
Common
ValueCountFrequency (%)
124
31.9%
, 43
 
11.1%
1 29
 
7.5%
) 28
 
7.2%
( 28
 
7.2%
0 25
 
6.4%
4 21
 
5.4%
2 20
 
5.1%
5 18
 
4.6%
3 17
 
4.4%
Other values (5) 36
 
9.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 569
59.3%
ASCII 390
40.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
31.8%
, 43
 
11.0%
1 29
 
7.4%
) 28
 
7.2%
( 28
 
7.2%
0 25
 
6.4%
4 21
 
5.4%
2 20
 
5.1%
5 18
 
4.6%
3 17
 
4.4%
Other values (6) 37
 
9.5%
Hangul
ValueCountFrequency (%)
38
 
6.7%
33
 
5.8%
31
 
5.4%
30
 
5.3%
29
 
5.1%
29
 
5.1%
29
 
5.1%
29
 
5.1%
29
 
5.1%
29
 
5.1%
Other values (78) 263
46.2%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

위도
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.501915
Minimum37.463147
Maximum37.521636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T13:33:54.755115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.463147
5-th percentile37.476114
Q137.494453
median37.504859
Q337.510532
95-th percentile37.518417
Maximum37.521636
Range0.058489
Interquartile range (IQR)0.016079

Descriptive statistics

Standard deviation0.013308959
Coefficient of variation (CV)0.00035488744
Kurtosis1.7012296
Mean37.501915
Median Absolute Deviation (MAD)0.006952
Skewness-1.2191201
Sum1087.5555
Variance0.00017712838
MonotonicityNot monotonic
2023-12-11T13:33:54.942150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
37.492065 1
 
3.4%
37.494139 1
 
3.4%
37.521636 1
 
3.4%
37.505379 1
 
3.4%
37.503591 1
 
3.4%
37.508874 1
 
3.4%
37.494453 1
 
3.4%
37.511811 1
 
3.4%
37.473111 1
 
3.4%
37.508261 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
37.463147 1
3.4%
37.473111 1
3.4%
37.480619 1
3.4%
37.487012 1
3.4%
37.492065 1
3.4%
37.494139 1
3.4%
37.494333 1
3.4%
37.494453 1
3.4%
37.495644 1
3.4%
37.498931 1
3.4%
ValueCountFrequency (%)
37.521636 1
3.4%
37.519576 1
3.4%
37.516679 1
3.4%
37.513789 1
3.4%
37.512588 1
3.4%
37.511811 1
3.4%
37.511257 1
3.4%
37.510532 1
3.4%
37.508874 1
3.4%
37.508261 1
3.4%

경도
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.0528
Minimum127.02447
Maximum127.10343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T13:33:55.459715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.02447
5-th percentile127.02933
Q1127.03505
median127.04546
Q3127.06536
95-th percentile127.09657
Maximum127.10343
Range0.078953
Interquartile range (IQR)0.030311

Descriptive statistics

Standard deviation0.021790291
Coefficient of variation (CV)0.00017150579
Kurtosis0.1471972
Mean127.0528
Median Absolute Deviation (MAD)0.012381
Skewness0.9415941
Sum3684.5312
Variance0.0004748168
MonotonicityNot monotonic
2023-12-11T13:33:55.650963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
127.0421 1
 
3.4%
127.079429 1
 
3.4%
127.035052 1
 
3.4%
127.029794 1
 
3.4%
127.035926 1
 
3.4%
127.040327 1
 
3.4%
127.037824 1
 
3.4%
127.065717 1
 
3.4%
127.103426 1
 
3.4%
127.066821 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
127.024473 1
3.4%
127.029021 1
3.4%
127.029794 1
3.4%
127.032921 1
3.4%
127.033628 1
3.4%
127.034636 1
3.4%
127.034647 1
3.4%
127.035052 1
3.4%
127.035926 1
3.4%
127.037824 1
3.4%
ValueCountFrequency (%)
127.103426 1
3.4%
127.103406 1
3.4%
127.086324 1
3.4%
127.082285 1
3.4%
127.079429 1
3.4%
127.066821 1
3.4%
127.065717 1
3.4%
127.065363 1
3.4%
127.062685 1
3.4%
127.059278 1
3.4%
Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T13:33:56.026463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length25.931034
Min length17

Characters and Unicode

Total characters752
Distinct characters120
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 방이동 42-5, 7 기계식주차타워
2nd row서울특별시 강남구 개포로 623, 209(개포동,대청타워)
3rd row서울특별시 강남구 테헤란로 70길 16, 6층 (대치동, 동산빌딩)
4th row서울특별시 강남구 개포동 1176-3 노외주차장
5th row서울특별시 서초구 서초중앙로 31길 14-5 미도공영주차장
ValueCountFrequency (%)
서울특별시 29
 
20.4%
서초구 5
 
3.5%
강남구 4
 
2.8%
마포구 3
 
2.1%
송파구 3
 
2.1%
방배동 3
 
2.1%
양천구 3
 
2.1%
강동구 2
 
1.4%
상암동 2
 
1.4%
강서구 2
 
1.4%
Other values (80) 86
60.6%
2023-12-11T13:33:56.596911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
15.2%
38
 
5.1%
30
 
4.0%
30
 
4.0%
29
 
3.9%
29
 
3.9%
29
 
3.9%
28
 
3.7%
1 20
 
2.7%
2 20
 
2.7%
Other values (110) 385
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 473
62.9%
Decimal Number 123
 
16.4%
Space Separator 114
 
15.2%
Dash Punctuation 14
 
1.9%
Close Punctuation 10
 
1.3%
Open Punctuation 10
 
1.3%
Other Punctuation 7
 
0.9%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
38
 
8.0%
30
 
6.3%
30
 
6.3%
29
 
6.1%
29
 
6.1%
29
 
6.1%
28
 
5.9%
13
 
2.7%
13
 
2.7%
11
 
2.3%
Other values (94) 223
47.1%
Decimal Number
ValueCountFrequency (%)
1 20
16.3%
2 20
16.3%
7 17
13.8%
3 11
8.9%
4 10
8.1%
8 9
7.3%
9 9
7.3%
6 9
7.3%
0 9
7.3%
5 9
7.3%
Space Separator
ValueCountFrequency (%)
114
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 473
62.9%
Common 279
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
38
 
8.0%
30
 
6.3%
30
 
6.3%
29
 
6.1%
29
 
6.1%
29
 
6.1%
28
 
5.9%
13
 
2.7%
13
 
2.7%
11
 
2.3%
Other values (94) 223
47.1%
Common
ValueCountFrequency (%)
114
40.9%
1 20
 
7.2%
2 20
 
7.2%
7 17
 
6.1%
- 14
 
5.0%
3 11
 
3.9%
4 10
 
3.6%
) 10
 
3.6%
( 10
 
3.6%
8 9
 
3.2%
Other values (6) 44
 
15.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 473
62.9%
ASCII 279
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
40.9%
1 20
 
7.2%
2 20
 
7.2%
7 17
 
6.1%
- 14
 
5.0%
3 11
 
3.9%
4 10
 
3.6%
) 10
 
3.6%
( 10
 
3.6%
8 9
 
3.2%
Other values (6) 44
 
15.8%
Hangul
ValueCountFrequency (%)
38
 
8.0%
30
 
6.3%
30
 
6.3%
29
 
6.1%
29
 
6.1%
29
 
6.1%
28
 
5.9%
13
 
2.7%
13
 
2.7%
11
 
2.3%
Other values (94) 223
47.1%

차고지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

보유차고지수용능력
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B
Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-11T13:33:56.900728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.5517241
Min length1

Characters and Unicode

Total characters74
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row51
2nd row92
3rd row121
4th row46
5th row52
ValueCountFrequency (%)
51 1
 
3.4%
106 1
 
3.4%
1
 
3.4%
64 1
 
3.4%
545 1
 
3.4%
75 1
 
3.4%
148 1
 
3.4%
256 1
 
3.4%
277 1
 
3.4%
53 1
 
3.4%
Other values (19) 19
65.5%
2023-12-11T13:33:57.384699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 15
20.3%
1 11
14.9%
2 8
10.8%
6 8
10.8%
4 6
 
8.1%
3 6
 
8.1%
0 6
 
8.1%
7 6
 
8.1%
8 4
 
5.4%
9 3
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 73
98.6%
Dash Punctuation 1
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 15
20.5%
1 11
15.1%
2 8
11.0%
6 8
11.0%
4 6
 
8.2%
3 6
 
8.2%
0 6
 
8.2%
7 6
 
8.2%
8 4
 
5.5%
9 3
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 74
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 15
20.3%
1 11
14.9%
2 8
10.8%
6 8
10.8%
4 6
 
8.1%
3 6
 
8.1%
0 6
 
8.1%
7 6
 
8.1%
8 4
 
5.4%
9 3
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 74
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 15
20.3%
1 11
14.9%
2 8
10.8%
6 8
10.8%
4 6
 
8.1%
3 6
 
8.1%
0 6
 
8.1%
7 6
 
8.1%
8 4
 
5.4%
9 3
 
4.1%

승용차보유대수
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.31034
Minimum0
Maximum908
Zeros1
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T13:33:57.569438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile39.8
Q161
median121
Q3239
95-th percentile599
Maximum908
Range908
Interquartile range (IQR)178

Descriptive statistics

Standard deviation214.11931
Coefficient of variation (CV)1.0797183
Kurtosis3.5240171
Mean198.31034
Median Absolute Deviation (MAD)71
Skewness1.9224833
Sum5751
Variance45847.079
MonotonicityNot monotonic
2023-12-11T13:33:57.735042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
50 3
 
10.3%
61 2
 
6.9%
130 2
 
6.9%
104 1
 
3.4%
0 1
 
3.4%
525 1
 
3.4%
75 1
 
3.4%
147 1
 
3.4%
239 1
 
3.4%
265 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
0 1
 
3.4%
37 1
 
3.4%
44 1
 
3.4%
50 3
10.3%
54 1
 
3.4%
61 2
6.9%
75 1
 
3.4%
85 1
 
3.4%
92 1
 
3.4%
104 1
 
3.4%
ValueCountFrequency (%)
908 1
3.4%
643 1
3.4%
533 1
3.4%
525 1
3.4%
442 1
3.4%
281 1
3.4%
265 1
3.4%
239 1
3.4%
194 1
3.4%
172 1
3.4%

승합차보유대수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)51.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1724138
Minimum0
Maximum25
Zeros8
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-11T13:33:57.884221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile18.8
Maximum25
Range25
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.7563143
Coefficient of variation (CV)1.3062208
Kurtosis1.7444922
Mean5.1724138
Median Absolute Deviation (MAD)2
Skewness1.5549532
Sum150
Variance45.647783
MonotonicityNot monotonic
2023-12-11T13:33:58.029717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 8
27.6%
1 4
13.8%
2 4
13.8%
3 2
 
6.9%
8 1
 
3.4%
5 1
 
3.4%
4 1
 
3.4%
14 1
 
3.4%
25 1
 
3.4%
6 1
 
3.4%
Other values (5) 5
17.2%
ValueCountFrequency (%)
0 8
27.6%
1 4
13.8%
2 4
13.8%
3 2
 
6.9%
4 1
 
3.4%
5 1
 
3.4%
6 1
 
3.4%
8 1
 
3.4%
10 1
 
3.4%
11 1
 
3.4%
ValueCountFrequency (%)
25 1
3.4%
20 1
3.4%
17 1
3.4%
14 1
3.4%
12 1
3.4%
11 1
3.4%
10 1
3.4%
8 1
3.4%
6 1
3.4%
5 1
3.4%

전기승용자동차보유대수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

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 29
100.0%

Length

2023-12-11T13:33:58.181540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:58.296392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

전기승합자동차보유대수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
0
29 

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 29
100.0%

Length

2023-12-11T13:33:58.399495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:58.499472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
100.0%

경차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

소형차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

중형차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

대형차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

승합차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

레저용차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

수입차요금
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

평일운영시작시각
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
00:00
29 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row00:00
2nd row00:00
3rd row00:00
4th row00:00
5th row00:00

Common Values

ValueCountFrequency (%)
00:00 29
100.0%

Length

2023-12-11T13:33:58.619604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:58.739907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 29
100.0%

평일운영종료시각
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
24:00
29 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row24:00
2nd row24:00
3rd row24:00
4th row24:00
5th row24:00

Common Values

ValueCountFrequency (%)
24:00 29
100.0%

Length

2023-12-11T13:33:58.850371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:58.994672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
24:00 29
100.0%

주말운영시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

주말운영종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

공휴일운영시작시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

공휴일운영종료시각
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

휴무일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

홈페이지주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

대표자명
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)100.0%
Memory size393.0 B

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
00-000-0000
29 

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 29
100.0%

Length

2023-12-11T13:33:59.141602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:59.289278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00-000-0000 29
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
2017-12-01
29 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-12-01
2nd row2017-12-01
3rd row2017-12-01
4th row2017-12-01
5th row2017-12-01

Common Values

ValueCountFrequency (%)
2017-12-01 29
100.0%

Length

2023-12-11T13:33:59.395708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T13:33:59.524696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-12-01 29
100.0%

Sample

업체명사업장구분소재지도로명주소소재지지번주소위도경도차고지도로명주소차고지지번주소보유차고지수용능력자동차총보유대수승용차보유대수승합차보유대수전기승용자동차보유대수전기승합자동차보유대수경차요금소형차요금중형차요금대형차요금승합차요금레저용차요금수입차요금평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각공휴일운영시작시각공휴일운영종료시각휴무일홈페이지주소대표자명전화번호데이터기준일자
0굿데이렌트카주사업장서울특별시 강남구 도곡로 28길 8, 205호 (도곡동, 도곡1차 아이파크상가)<NA>37.492065127.0421서울특별시 송파구 방이동 42-5, 7 기계식주차타워<NA><NA>5150100<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
1굿렌트카주사업장서울특별시 강남구 개포로623,209호(개포동,대청타워)<NA>37.494139127.079429서울특별시 강남구 개포로 623, 209(개포동,대청타워)<NA><NA>9292000<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
2그린카주사업장서울특별시 강남구 테헤란로70길 16, 6층(대치동, 동산빌딩)<NA>37.504322127.053284서울특별시 강남구 테헤란로 70길 16, 6층 (대치동, 동산빌딩)<NA><NA>121121000<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
3뉴삼보렌트카주사업장서울특별시 강남구 개포로 140길 18 (일원동)<NA>37.494333127.086324서울특별시 강남구 개포동 1176-3 노외주차장<NA><NA>4644200<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
4뉴스마트주사업장서울특별시 강남구 논현로72길16(역삼동,초원빌딩 4층)<NA>37.495644127.040899서울특별시 서초구 서초중앙로 31길 14-5 미도공영주차장<NA><NA>5237800<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
5로얄렌트카주사업장서울특별시 강남구 학동로165,204호(논현동,마일스디오빌)<NA>37.513789127.029021서울특별시 마포구 대흥동 794외4필지 대승주차장<NA><NA>135130500<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
6링커블주사업장서울특별시 강남구 테헤란로 507, 11층 (삼성동, 위워크빌딩)<NA>37.507619127.057713서울특별시 서초구 방배동 1002번지, 방배동 산195번지<NA><NA>5050000<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
7마이카렌트카주사업장서울특별시 강남구 영동대로 510, 삼성빌딩 401-3호<NA>37.510532127.062685서울특별시 중랑구 신내동 647 (봉화산역주차장)<NA><NA>109106300<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
8마춤카주사업장서울특별시 강남구 헌릉로 570길 34, 501호 (세곡동, 리엔파크프라자)<NA>37.463147127.103406서울특별시 은평구 수색동 78-2 외7필지 (수색동, 수색공영주차장)<NA><NA>282281100<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
9보배렌트카주사업장서울특별시 강남구 광평로10길50,2층 45호(일원동,청솔상가)<NA>37.480619127.082285서울특별시 서초구 양재대로12길25(양재동)<NA><NA>8685100<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
업체명사업장구분소재지도로명주소소재지지번주소위도경도차고지도로명주소차고지지번주소보유차고지수용능력자동차총보유대수승용차보유대수승합차보유대수전기승용자동차보유대수전기승합자동차보유대수경차요금소형차요금중형차요금대형차요금승합차요금레저용차요금수입차요금평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각공휴일운영시작시각공휴일운영종료시각휴무일홈페이지주소대표자명전화번호데이터기준일자
19월드카익스프레스주사업장서울특별시 강남구 테헤란로 14길 6 (역삼동, 남도빌딩) 715호<NA>37.498931127.032921서울특별시 영등포구 양평동3가 57-3<NA><NA>535533200<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
20이지원카주사업장서울특별시 강남구 남부순환로381길 45(도곡동)<NA>37.487012127.045465서울특별시 강서구 가양동 1488-12<NA><NA>5350200<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
21인지카주사업장서울특별시 강남구 테헤란로114길20,2층(대치동,삼화빌딩)<NA>37.508261127.066821서울특별시 강남구 삼성동186-4~6번지 탄천공영주차장<NA><NA>2772651200<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
22차세대렌트카주사업장서울특별시 강남구 자곡로180,A동203호(자곡동,강남유탑유블레스)<NA>37.473111127.103426서울특별시 은평구 통일로92다길 16-23<NA><NA>2562391700<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
23플러스그린렌트카주사업장서울특별시 강남구 영동대로96길37,303호(삼성동)<NA>37.511811127.065717서울특별시 강동구 성안로 118<NA><NA>148147100<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
24플레이렌트카주사업장서울특별시 강남구 논현로71길 21, 4층 (역삼동, 보사빌딩)<NA>37.494453127.037824서울특별시 양천구 국회대로 28(신월동) 신월주차장<NA><NA>7575000<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
25하이렌터카주사업장서울특별시 강남구 봉은사로 304, 11층 2호(역삼동,금강빌딩)<NA>37.508874127.040327서울특별시 서초구 양재동 225번지 외(구 화물터미널 부지)<NA><NA>5455252000<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
26한강렌트카주사업장서울특별시 강남구 논현로 528 (역삼동)<NA>37.503591127.035926서울특별시 송파구 문정동 150-27<NA><NA>6461300<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
27네버투어주사업장서울특별시 강남구 봉은사로16길 14, 5층 2호 (역삼동)<NA>37.505379127.029794서울특별시 용산구 원효로97길 50<NA><NA>-0000<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01
28효성캐피탈주사업장서울특별시 강남구 도산대로 306 (논현동)<NA>37.521636127.035052서울특별시 마포구 상암동 1739<NA><NA>6161000<NA><NA><NA><NA><NA><NA><NA>00:0024:00<NA><NA><NA><NA><NA><NA><NA>00-000-00002017-12-01