Overview

Dataset statistics

Number of variables34
Number of observations2306
Missing cells24637
Missing cells (%)31.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory646.4 KiB
Average record size in memory287.1 B

Variable types

Text9
Categorical4
Numeric14
DateTime7

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체
URLhttps://www.data.go.kr/data/15025689/standard.do

Alerts

전기승합자동차보유대수 is highly imbalanced (99.5%)Imbalance
중형차요금 is highly imbalanced (78.6%)Imbalance
휴무일 is highly imbalanced (76.3%)Imbalance
소재지도로명주소 has 43 (1.9%) missing valuesMissing
소재지지번주소 has 604 (26.2%) missing valuesMissing
차고지도로명주소 has 483 (20.9%) missing valuesMissing
차고지지번주소 has 616 (26.7%) missing valuesMissing
보유차고지수용능력 has 1368 (59.3%) missing valuesMissing
경차요금 has 1986 (86.1%) missing valuesMissing
소형차요금 has 1967 (85.3%) missing valuesMissing
대형차요금 has 1958 (84.9%) missing valuesMissing
승합차요금 has 1959 (85.0%) missing valuesMissing
레저용차요금 has 2094 (90.8%) missing valuesMissing
수입차요금 has 2093 (90.8%) missing valuesMissing
주말운영시작시각 has 1523 (66.0%) missing valuesMissing
주말운영종료시각 has 1524 (66.1%) missing valuesMissing
공휴일운영시작시각 has 1573 (68.2%) missing valuesMissing
공휴일운영종료시각 has 1573 (68.2%) missing valuesMissing
홈페이지주소 has 2150 (93.2%) missing valuesMissing
대표자명 has 1123 (48.7%) missing valuesMissing
보유차고지수용능력 is highly skewed (γ1 = 25.33087636)Skewed
자동차총보유대수 is highly skewed (γ1 = 31.00646514)Skewed
승용차보유대수 is highly skewed (γ1 = 30.71502007)Skewed
승합차보유대수 is highly skewed (γ1 = 31.23409618)Skewed
전기승용자동차보유대수 is highly skewed (γ1 = 31.63770013)Skewed
자동차총보유대수 has 160 (6.9%) zerosZeros
승용차보유대수 has 180 (7.8%) zerosZeros
승합차보유대수 has 996 (43.2%) zerosZeros
전기승용자동차보유대수 has 2093 (90.8%) zerosZeros
경차요금 has 83 (3.6%) zerosZeros
소형차요금 has 79 (3.4%) zerosZeros
대형차요금 has 81 (3.5%) zerosZeros
승합차요금 has 79 (3.4%) zerosZeros
레저용차요금 has 96 (4.2%) zerosZeros
수입차요금 has 98 (4.2%) zerosZeros

Reproduction

Analysis started2024-05-18 09:08:16.382956
Analysis finished2024-05-18 09:08:19.909513
Duration3.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct1545
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-18T18:08:20.253406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.4501301
Min length2

Characters and Unicode

Total characters17180
Distinct characters416
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

Unique1161 ?
Unique (%)50.3%

Sample

1st row㈜지엠물류
2nd row㈜지엠물류
3rd row㈜지엠물류
4th row누리렌트카㈜
5th row누리렌트카㈜
ValueCountFrequency (%)
㈜웨이 31
 
1.2%
울산영업소 22
 
0.8%
도도렌트카 21
 
0.8%
㈜스마트렌트카 21
 
0.8%
주식회사 20
 
0.8%
롯데렌탈㈜ 20
 
0.8%
㈜쏘카 19
 
0.7%
마스타자동차관리 19
 
0.7%
㈜현대관광렌트카 18
 
0.7%
㈜로또렌트카 16
 
0.6%
Other values (1516) 2412
92.1%
2024-05-18T18:08:21.055704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
카 1895
 
11.0%
렌 1807
 
10.5%
트 1555
 
9.1%
㈜ 1393
 
8.1%
이 523
 
3.0%
) 516
 
3.0%
( 515
 
3.0%
주 398
 
2.3%
스 352
 
2.0%
터 317
 
1.8%
Other values (406) 7909
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14346
83.5%
Other Symbol 1393
 
8.1%
Close Punctuation 518
 
3.0%
Open Punctuation 517
 
3.0%
Space Separator 313
 
1.8%
Uppercase Letter 56
 
0.3%
Decimal Number 32
 
0.2%
Dash Punctuation 3
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 1895
 
13.2%
렌 1807
 
12.6%
트 1555
 
10.8%
이 523
 
3.6%
주 398
 
2.8%
스 352
 
2.5%
터 317
 
2.2%
소 257
 
1.8%
영 254
 
1.8%
업 237
 
1.7%
Other values (380) 6751
47.1%
Uppercase Letter
ValueCountFrequency (%)
K 22
39.3%
S 17
30.4%
T 4
 
7.1%
X 3
 
5.4%
G 3
 
5.4%
M 3
 
5.4%
D 1
 
1.8%
P 1
 
1.8%
I 1
 
1.8%
V 1
 
1.8%
Decimal Number
ValueCountFrequency (%)
2 9
28.1%
1 6
18.8%
0 5
15.6%
3 5
15.6%
4 3
 
9.4%
6 3
 
9.4%
5 1
 
3.1%
Close Punctuation
ValueCountFrequency (%)
) 516
99.6%
] 2
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 515
99.6%
[ 2
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
s 1
50.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1393
100.0%
Space Separator
ValueCountFrequency (%)
313
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15739
91.6%
Common 1383
 
8.1%
Latin 58
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 1895
 
12.0%
렌 1807
 
11.5%
트 1555
 
9.9%
㈜ 1393
 
8.9%
이 523
 
3.3%
주 398
 
2.5%
스 352
 
2.2%
터 317
 
2.0%
소 257
 
1.6%
영 254
 
1.6%
Other values (381) 6988
44.4%
Common
ValueCountFrequency (%)
) 516
37.3%
( 515
37.2%
313
22.6%
2 9
 
0.7%
1 6
 
0.4%
0 5
 
0.4%
3 5
 
0.4%
4 3
 
0.2%
6 3
 
0.2%
- 3
 
0.2%
Other values (3) 5
 
0.4%
Latin
ValueCountFrequency (%)
K 22
37.9%
S 17
29.3%
T 4
 
6.9%
X 3
 
5.2%
G 3
 
5.2%
M 3
 
5.2%
D 1
 
1.7%
P 1
 
1.7%
I 1
 
1.7%
V 1
 
1.7%
Other values (2) 2
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14346
83.5%
ASCII 1441
 
8.4%
None 1393
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
카 1895
 
13.2%
렌 1807
 
12.6%
트 1555
 
10.8%
이 523
 
3.6%
주 398
 
2.8%
스 352
 
2.5%
터 317
 
2.2%
소 257
 
1.8%
영 254
 
1.8%
업 237
 
1.7%
Other values (380) 6751
47.1%
None
ValueCountFrequency (%)
㈜ 1393
100.0%
ASCII
ValueCountFrequency (%)
) 516
35.8%
( 515
35.7%
313
21.7%
K 22
 
1.5%
S 17
 
1.2%
2 9
 
0.6%
1 6
 
0.4%
0 5
 
0.3%
3 5
 
0.3%
T 4
 
0.3%
Other values (15) 29
 
2.0%

사업장구분
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
주사업장
1293 
영업소
1013 

Length

Max length4
Median length4
Mean length3.5607112
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주사업장 1293
56.1%
영업소 1013
43.9%

Length

2024-05-18T18:08:21.311705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T18:08:21.572985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주사업장 1293
56.1%
영업소 1013
43.9%

소재지도로명주소
Text

MISSING 

Distinct1907
Distinct (%)84.3%
Missing43
Missing (%)1.9%
Memory size18.1 KiB
2024-05-18T18:08:22.196874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length43
Mean length23.442333
Min length13

Characters and Unicode

Total characters53050
Distinct characters462
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

Unique1689 ?
Unique (%)74.6%

Sample

1st row대전광역시 중구 대종로550번길 5, 1306호(선화동, 유원오피스텔)
2nd row대전광역시 중구 대종로550번길 5, 1306호(선화동, 유원오피스텔)
3rd row대전광역시 중구 대종로550번길 5, 1306호(선화동, 유원오피스텔)
4th row대전광역시 서구 월평로13번길 60, 1층(월평동)
5th row대전광역시 서구 월평로13번길 60, 1층(월평동)
ValueCountFrequency (%)
경기도 388
 
3.5%
서울특별시 338
 
3.1%
대전광역시 180
 
1.6%
경상북도 156
 
1.4%
강원도 155
 
1.4%
경상남도 134
 
1.2%
서구 118
 
1.1%
제주시 115
 
1.1%
전라남도 115
 
1.1%
제주특별자치도 115
 
1.1%
Other values (3455) 9117
83.4%
2024-05-18T18:08:23.279244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8668
 
16.3%
1 2074
 
3.9%
시 2030
 
3.8%
로 1909
 
3.6%
도 1555
 
2.9%
2 1397
 
2.6%
구 1245
 
2.3%
동 1219
 
2.3%
3 1031
 
1.9%
길 865
 
1.6%
Other values (452) 31057
58.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32197
60.7%
Decimal Number 9223
 
17.4%
Space Separator 8668
 
16.3%
Other Punctuation 818
 
1.5%
Open Punctuation 776
 
1.5%
Close Punctuation 775
 
1.5%
Dash Punctuation 476
 
0.9%
Uppercase Letter 111
 
0.2%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2030
 
6.3%
로 1909
 
5.9%
도 1555
 
4.8%
구 1245
 
3.9%
동 1219
 
3.8%
길 865
 
2.7%
경 775
 
2.4%
서 756
 
2.3%
대 731
 
2.3%
남 691
 
2.1%
Other values (416) 20421
63.4%
Uppercase Letter
ValueCountFrequency (%)
A 19
17.1%
T 18
16.2%
B 18
16.2%
E 14
12.6%
K 13
11.7%
R 5
 
4.5%
C 4
 
3.6%
O 4
 
3.6%
W 4
 
3.6%
F 3
 
2.7%
Other values (7) 9
8.1%
Decimal Number
ValueCountFrequency (%)
1 2074
22.5%
2 1397
15.1%
3 1031
11.2%
0 850
9.2%
4 841
9.1%
6 722
 
7.8%
5 679
 
7.4%
7 601
 
6.5%
8 529
 
5.7%
9 499
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 815
99.6%
@ 1
 
0.1%
· 1
 
0.1%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8668
100.0%
Open Punctuation
ValueCountFrequency (%)
( 776
100.0%
Close Punctuation
ValueCountFrequency (%)
) 775
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 476
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32197
60.7%
Common 20742
39.1%
Latin 111
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2030
 
6.3%
로 1909
 
5.9%
도 1555
 
4.8%
구 1245
 
3.9%
동 1219
 
3.8%
길 865
 
2.7%
경 775
 
2.4%
서 756
 
2.3%
대 731
 
2.3%
남 691
 
2.1%
Other values (416) 20421
63.4%
Common
ValueCountFrequency (%)
8668
41.8%
1 2074
 
10.0%
2 1397
 
6.7%
3 1031
 
5.0%
0 850
 
4.1%
4 841
 
4.1%
, 815
 
3.9%
( 776
 
3.7%
) 775
 
3.7%
6 722
 
3.5%
Other values (9) 2793
 
13.5%
Latin
ValueCountFrequency (%)
A 19
17.1%
T 18
16.2%
B 18
16.2%
E 14
12.6%
K 13
11.7%
R 5
 
4.5%
C 4
 
3.6%
O 4
 
3.6%
W 4
 
3.6%
F 3
 
2.7%
Other values (7) 9
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32197
60.7%
ASCII 20852
39.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8668
41.6%
1 2074
 
9.9%
2 1397
 
6.7%
3 1031
 
4.9%
0 850
 
4.1%
4 841
 
4.0%
, 815
 
3.9%
( 776
 
3.7%
) 775
 
3.7%
6 722
 
3.5%
Other values (25) 2903
 
13.9%
Hangul
ValueCountFrequency (%)
시 2030
 
6.3%
로 1909
 
5.9%
도 1555
 
4.8%
구 1245
 
3.9%
동 1219
 
3.8%
길 865
 
2.7%
경 775
 
2.4%
서 756
 
2.3%
대 731
 
2.3%
남 691
 
2.1%
Other values (416) 20421
63.4%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

MISSING 

Distinct1363
Distinct (%)80.1%
Missing604
Missing (%)26.2%
Memory size18.1 KiB
2024-05-18T18:08:23.867772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length45
Mean length21.253231
Min length14

Characters and Unicode

Total characters36173
Distinct characters365
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

Unique1161 ?
Unique (%)68.2%

Sample

1st row대전광역시 중구 선화동 79-14, 유원오피스텔 1306호
2nd row대전광역시 중구 선화동 79-14, 유원오피스텔 1306호
3rd row대전광역시 중구 선화동 79-14, 유원오피스텔 1306호
4th row대전광역시 서구 월평동 411
5th row대전광역시 서구 월평동 411
ValueCountFrequency (%)
경기도 331
 
4.2%
서울특별시 221
 
2.8%
대전광역시 179
 
2.3%
강원도 133
 
1.7%
서구 117
 
1.5%
제주특별자치도 115
 
1.5%
제주시 115
 
1.5%
경상남도 106
 
1.4%
충청남도 87
 
1.1%
경상북도 87
 
1.1%
Other values (2469) 6307
80.9%
2024-05-18T18:08:25.047478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6098
 
16.9%
1 1644
 
4.5%
동 1552
 
4.3%
시 1501
 
4.1%
- 1336
 
3.7%
도 1203
 
3.3%
2 1049
 
2.9%
구 918
 
2.5%
3 758
 
2.1%
4 659
 
1.8%
Other values (355) 19455
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 20730
57.3%
Decimal Number 7634
 
21.1%
Space Separator 6098
 
16.9%
Dash Punctuation 1336
 
3.7%
Other Punctuation 237
 
0.7%
Uppercase Letter 68
 
0.2%
Close Punctuation 35
 
0.1%
Open Punctuation 35
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1552
 
7.5%
시 1501
 
7.2%
도 1203
 
5.8%
구 918
 
4.4%
경 552
 
2.7%
서 511
 
2.5%
광 498
 
2.4%
주 494
 
2.4%
별 450
 
2.2%
특 446
 
2.2%
Other values (326) 12605
60.8%
Uppercase Letter
ValueCountFrequency (%)
K 15
22.1%
T 14
20.6%
E 10
14.7%
B 9
13.2%
A 6
 
8.8%
F 3
 
4.4%
S 3
 
4.4%
C 3
 
4.4%
R 1
 
1.5%
M 1
 
1.5%
Other values (3) 3
 
4.4%
Decimal Number
ValueCountFrequency (%)
1 1644
21.5%
2 1049
13.7%
3 758
9.9%
4 659
8.6%
5 651
 
8.5%
6 646
 
8.5%
0 625
 
8.2%
7 546
 
7.2%
9 542
 
7.1%
8 514
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 236
99.6%
. 1
 
0.4%
Space Separator
ValueCountFrequency (%)
6098
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1336
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 20730
57.3%
Common 15375
42.5%
Latin 68
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1552
 
7.5%
시 1501
 
7.2%
도 1203
 
5.8%
구 918
 
4.4%
경 552
 
2.7%
서 511
 
2.5%
광 498
 
2.4%
주 494
 
2.4%
별 450
 
2.2%
특 446
 
2.2%
Other values (326) 12605
60.8%
Common
ValueCountFrequency (%)
6098
39.7%
1 1644
 
10.7%
- 1336
 
8.7%
2 1049
 
6.8%
3 758
 
4.9%
4 659
 
4.3%
5 651
 
4.2%
6 646
 
4.2%
0 625
 
4.1%
7 546
 
3.6%
Other values (6) 1363
 
8.9%
Latin
ValueCountFrequency (%)
K 15
22.1%
T 14
20.6%
E 10
14.7%
B 9
13.2%
A 6
 
8.8%
F 3
 
4.4%
S 3
 
4.4%
C 3
 
4.4%
R 1
 
1.5%
M 1
 
1.5%
Other values (3) 3
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 20730
57.3%
ASCII 15443
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6098
39.5%
1 1644
 
10.6%
- 1336
 
8.7%
2 1049
 
6.8%
3 758
 
4.9%
4 659
 
4.3%
5 651
 
4.2%
6 646
 
4.2%
0 625
 
4.0%
7 546
 
3.5%
Other values (19) 1431
 
9.3%
Hangul
ValueCountFrequency (%)
동 1552
 
7.5%
시 1501
 
7.2%
도 1203
 
5.8%
구 918
 
4.4%
경 552
 
2.7%
서 511
 
2.5%
광 498
 
2.4%
주 494
 
2.4%
별 450
 
2.2%
특 446
 
2.2%
Other values (326) 12605
60.8%

위도
Real number (ℝ)

Distinct1813
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.491799
Minimum33.48258
Maximum38.379741
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:25.466303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.48258
5-th percentile34.314209
Q135.56883
median36.771844
Q337.504402
95-th percentile37.762353
Maximum38.379741
Range4.8971615
Interquartile range (IQR)1.9355723

Descriptive statistics

Standard deviation1.1712796
Coefficient of variation (CV)0.032097065
Kurtosis-0.095312123
Mean36.491799
Median Absolute Deviation (MAD)0.78351291
Skewness-0.83276346
Sum84150.088
Variance1.371896
MonotonicityNot monotonic
2024-05-18T18:08:26.026947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.50532101 12
 
0.5%
37.54844358 11
 
0.5%
36.34872991 10
 
0.4%
36.34753577 10
 
0.4%
37.455019 9
 
0.4%
37.75515453 8
 
0.3%
33.51516802 7
 
0.3%
36.33264646 7
 
0.3%
36.33046955 7
 
0.3%
36.18184232 6
 
0.3%
Other values (1803) 2219
96.2%
ValueCountFrequency (%)
33.48257951 1
 
< 0.1%
33.48515863 1
 
< 0.1%
33.4884685 1
 
< 0.1%
33.48962059 1
 
< 0.1%
33.48962761 1
 
< 0.1%
33.48978769 1
 
< 0.1%
33.49016975 3
0.1%
33.49033561 1
 
< 0.1%
33.49198895 1
 
< 0.1%
33.4932207 1
 
< 0.1%
ValueCountFrequency (%)
38.379741 1
< 0.1%
38.37972734 1
< 0.1%
38.24348719 2
0.1%
38.21054477 2
0.1%
38.20662719 2
0.1%
38.15427952 1
< 0.1%
38.14821979 2
0.1%
38.1235600036 1
< 0.1%
38.10161831 2
0.1%
38.09929702 2
0.1%

경도
Real number (ℝ)

Distinct1806
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.55575
Minimum126.36534
Maximum130.91202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:26.441201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.36534
5-th percentile126.49622
Q1126.91346
median127.167
Q3128.33662
95-th percentile129.12458
Maximum130.91202
Range4.5466713
Interquartile range (IQR)1.4231573

Descriptive statistics

Standard deviation0.87792923
Coefficient of variation (CV)0.0068827101
Kurtosis-0.17071812
Mean127.55575
Median Absolute Deviation (MAD)0.3629579
Skewness0.88742891
Sum294143.55
Variance0.77075974
MonotonicityNot monotonic
2024-05-18T18:08:26.789984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0528475 12
 
0.5%
126.9721128 11
 
0.5%
127.3826059 10
 
0.4%
127.3882511 10
 
0.4%
127.06536 9
 
0.4%
128.8865447 8
 
0.3%
128.8799999 8
 
0.3%
127.3371455 7
 
0.3%
126.4913275502 7
 
0.3%
127.3937558 7
 
0.3%
Other values (1796) 2217
96.1%
ValueCountFrequency (%)
126.3653449 3
0.1%
126.3792289227 1
 
< 0.1%
126.3816327 1
 
< 0.1%
126.3984589 1
 
< 0.1%
126.3998723 1
 
< 0.1%
126.4022574037 1
 
< 0.1%
126.4066469 1
 
< 0.1%
126.4171085 1
 
< 0.1%
126.4236808 1
 
< 0.1%
126.4262359 1
 
< 0.1%
ValueCountFrequency (%)
130.9120162 1
< 0.1%
130.9094171587 1
< 0.1%
130.9086855385 1
< 0.1%
130.908515943 1
< 0.1%
130.9072082153 1
< 0.1%
130.8984717 1
< 0.1%
130.8969168546 1
< 0.1%
130.8735594959 1
< 0.1%
130.8377230977 1
< 0.1%
130.8376504 1
< 0.1%

차고지도로명주소
Text

MISSING 

Distinct1537
Distinct (%)84.3%
Missing483
Missing (%)20.9%
Memory size18.1 KiB
2024-05-18T18:08:27.430337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length101
Median length75
Mean length22.18102
Min length1

Characters and Unicode

Total characters40436
Distinct characters456
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1350 ?
Unique (%)74.1%

Sample

1st row대전광역시 대덕구 한남로114번길 1
2nd row충남 금산군 진산면 만악리 432-5
3rd row충남 논산시 광석면 천동리 373-1
4th row대전광역시 동구 대전천동로 58
5th row대전광역시 서구 신갈마로141번길 14
ValueCountFrequency (%)
경기도 361
 
4.2%
서울특별시 255
 
3.0%
강원도 146
 
1.7%
경상북도 145
 
1.7%
대전광역시 137
 
1.6%
경상남도 126
 
1.5%
서구 97
 
1.1%
충청남도 81
 
0.9%
강릉시 79
 
0.9%
전라남도 66
 
0.8%
Other values (2924) 7150
82.7%
2024-05-18T18:08:28.308301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6826
 
16.9%
시 1608
 
4.0%
로 1439
 
3.6%
1 1382
 
3.4%
도 1259
 
3.1%
2 960
 
2.4%
구 958
 
2.4%
동 787
 
1.9%
경 705
 
1.7%
3 703
 
1.7%
Other values (446) 23809
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25104
62.1%
Decimal Number 6846
 
16.9%
Space Separator 6826
 
16.9%
Dash Punctuation 531
 
1.3%
Close Punctuation 374
 
0.9%
Open Punctuation 373
 
0.9%
Other Punctuation 263
 
0.7%
Math Symbol 63
 
0.2%
Uppercase Letter 54
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1608
 
6.4%
로 1439
 
5.7%
도 1259
 
5.0%
구 958
 
3.8%
동 787
 
3.1%
경 705
 
2.8%
길 655
 
2.6%
서 582
 
2.3%
대 566
 
2.3%
광 539
 
2.1%
Other values (412) 16006
63.8%
Uppercase Letter
ValueCountFrequency (%)
B 20
37.0%
A 7
 
13.0%
C 6
 
11.1%
D 4
 
7.4%
F 3
 
5.6%
P 3
 
5.6%
L 2
 
3.7%
E 2
 
3.7%
I 2
 
3.7%
G 2
 
3.7%
Other values (3) 3
 
5.6%
Decimal Number
ValueCountFrequency (%)
1 1382
20.2%
2 960
14.0%
3 703
10.3%
4 686
10.0%
6 630
9.2%
5 556
8.1%
7 527
 
7.7%
0 505
 
7.4%
8 464
 
6.8%
9 433
 
6.3%
Other Punctuation
ValueCountFrequency (%)
, 256
97.3%
/ 4
 
1.5%
. 3
 
1.1%
Math Symbol
ValueCountFrequency (%)
+ 53
84.1%
~ 9
 
14.3%
∼ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
6826
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 531
100.0%
Close Punctuation
ValueCountFrequency (%)
) 374
100.0%
Open Punctuation
ValueCountFrequency (%)
( 373
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25104
62.1%
Common 15276
37.8%
Latin 56
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1608
 
6.4%
로 1439
 
5.7%
도 1259
 
5.0%
구 958
 
3.8%
동 787
 
3.1%
경 705
 
2.8%
길 655
 
2.6%
서 582
 
2.3%
대 566
 
2.3%
광 539
 
2.1%
Other values (412) 16006
63.8%
Common
ValueCountFrequency (%)
6826
44.7%
1 1382
 
9.0%
2 960
 
6.3%
3 703
 
4.6%
4 686
 
4.5%
6 630
 
4.1%
5 556
 
3.6%
- 531
 
3.5%
7 527
 
3.4%
0 505
 
3.3%
Other values (10) 1970
 
12.9%
Latin
ValueCountFrequency (%)
B 20
35.7%
A 7
 
12.5%
C 6
 
10.7%
D 4
 
7.1%
F 3
 
5.4%
P 3
 
5.4%
L 2
 
3.6%
b 2
 
3.6%
E 2
 
3.6%
I 2
 
3.6%
Other values (4) 5
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25104
62.1%
ASCII 15331
37.9%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6826
44.5%
1 1382
 
9.0%
2 960
 
6.3%
3 703
 
4.6%
4 686
 
4.5%
6 630
 
4.1%
5 556
 
3.6%
- 531
 
3.5%
7 527
 
3.4%
0 505
 
3.3%
Other values (23) 2025
 
13.2%
Hangul
ValueCountFrequency (%)
시 1608
 
6.4%
로 1439
 
5.7%
도 1259
 
5.0%
구 958
 
3.8%
동 787
 
3.1%
경 705
 
2.8%
길 655
 
2.6%
서 582
 
2.3%
대 566
 
2.3%
광 539
 
2.1%
Other values (412) 16006
63.8%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

차고지지번주소
Text

MISSING 

Distinct1429
Distinct (%)84.6%
Missing616
Missing (%)26.7%
Memory size18.1 KiB
2024-05-18T18:08:28.967199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length142
Median length114
Mean length21.97929
Min length14

Characters and Unicode

Total characters37145
Distinct characters381
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1249 ?
Unique (%)73.9%

Sample

1st row대전광역시 대덕구 오정동 448-5
2nd row충남 금산군 진산면 만악리 432-5
3rd row충남 논산시 광석면 천동리 373-1
4th row대전광역시 동구 대성동 173-3
5th row대전광역시 서구 갈마동 377-21
ValueCountFrequency (%)
경기도 290
 
3.6%
서울특별시 212
 
2.6%
대전광역시 137
 
1.7%
제주시 112
 
1.4%
제주특별자치도 112
 
1.4%
경상북도 108
 
1.3%
경상남도 107
 
1.3%
강원도 100
 
1.2%
서구 86
 
1.1%
전라남도 84
 
1.0%
Other values (2870) 6749
83.4%
2024-05-18T18:08:29.891567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6408
 
17.3%
1 1568
 
4.2%
시 1467
 
3.9%
동 1325
 
3.6%
- 1296
 
3.5%
도 1222
 
3.3%
2 995
 
2.7%
구 848
 
2.3%
3 811
 
2.2%
5 702
 
1.9%
Other values (371) 20503
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21538
58.0%
Decimal Number 7500
 
20.2%
Space Separator 6408
 
17.3%
Dash Punctuation 1296
 
3.5%
Other Punctuation 192
 
0.5%
Math Symbol 76
 
0.2%
Uppercase Letter 57
 
0.2%
Open Punctuation 35
 
0.1%
Close Punctuation 33
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1467
 
6.8%
동 1325
 
6.2%
도 1222
 
5.7%
구 848
 
3.9%
리 625
 
2.9%
주 555
 
2.6%
경 544
 
2.5%
서 494
 
2.3%
산 472
 
2.2%
광 472
 
2.2%
Other values (330) 13514
62.7%
Uppercase Letter
ValueCountFrequency (%)
D 9
15.8%
L 9
15.8%
C 6
10.5%
A 6
10.5%
K 4
7.0%
B 4
7.0%
F 3
 
5.3%
E 3
 
5.3%
S 3
 
5.3%
M 2
 
3.5%
Other values (6) 8
14.0%
Decimal Number
ValueCountFrequency (%)
1 1568
20.9%
2 995
13.3%
3 811
10.8%
5 702
9.4%
4 672
9.0%
6 619
 
8.3%
8 591
 
7.9%
7 539
 
7.2%
9 505
 
6.7%
0 498
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
20.0%
s 2
20.0%
t 2
20.0%
e 2
20.0%
r 1
10.0%
m 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 186
96.9%
. 4
 
2.1%
/ 2
 
1.0%
Math Symbol
ValueCountFrequency (%)
+ 69
90.8%
~ 7
 
9.2%
Space Separator
ValueCountFrequency (%)
6408
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1296
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21538
58.0%
Common 15540
41.8%
Latin 67
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1467
 
6.8%
동 1325
 
6.2%
도 1222
 
5.7%
구 848
 
3.9%
리 625
 
2.9%
주 555
 
2.6%
경 544
 
2.5%
서 494
 
2.3%
산 472
 
2.2%
광 472
 
2.2%
Other values (330) 13514
62.7%
Latin
ValueCountFrequency (%)
D 9
13.4%
L 9
13.4%
C 6
 
9.0%
A 6
 
9.0%
K 4
 
6.0%
B 4
 
6.0%
F 3
 
4.5%
E 3
 
4.5%
S 3
 
4.5%
o 2
 
3.0%
Other values (12) 18
26.9%
Common
ValueCountFrequency (%)
6408
41.2%
1 1568
 
10.1%
- 1296
 
8.3%
2 995
 
6.4%
3 811
 
5.2%
5 702
 
4.5%
4 672
 
4.3%
6 619
 
4.0%
8 591
 
3.8%
7 539
 
3.5%
Other values (9) 1339
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21538
58.0%
ASCII 15607
42.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6408
41.1%
1 1568
 
10.0%
- 1296
 
8.3%
2 995
 
6.4%
3 811
 
5.2%
5 702
 
4.5%
4 672
 
4.3%
6 619
 
4.0%
8 591
 
3.8%
7 539
 
3.5%
Other values (31) 1406
 
9.0%
Hangul
ValueCountFrequency (%)
시 1467
 
6.8%
동 1325
 
6.2%
도 1222
 
5.7%
구 848
 
3.9%
리 625
 
2.9%
주 555
 
2.6%
경 544
 
2.5%
서 494
 
2.3%
산 472
 
2.2%
광 472
 
2.2%
Other values (330) 13514
62.7%

보유차고지수용능력
Real number (ℝ)

MISSING  SKEWED 

Distinct344
Distinct (%)36.7%
Missing1368
Missing (%)59.3%
Infinite0
Infinite (%)0.0%
Mean447.62876
Minimum0
Maximum67000
Zeros9
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:30.165420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q122
median79
Q3318.5
95-th percentile1760
Maximum67000
Range67000
Interquartile range (IQR)296.5

Descriptive statistics

Standard deviation2322.9269
Coefficient of variation (CV)5.1894048
Kurtosis721.07268
Mean447.62876
Median Absolute Deviation (MAD)66
Skewness25.330876
Sum419875.78
Variance5395989.2
MonotonicityNot monotonic
2024-05-18T18:08:30.444717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.0 65
 
2.8%
20.0 29
 
1.3%
130.0 25
 
1.1%
10.0 21
 
0.9%
50.0 21
 
0.9%
65.0 18
 
0.8%
2.0 18
 
0.8%
30.0 16
 
0.7%
13.0 15
 
0.7%
15.0 14
 
0.6%
Other values (334) 696
30.2%
(Missing) 1368
59.3%
ValueCountFrequency (%)
0.0 9
0.4%
1.0 5
 
0.2%
2.0 18
0.8%
3.0 14
0.6%
4.0 4
 
0.2%
5.0 13
0.6%
6.0 13
0.6%
7.0 10
0.4%
8.0 14
0.6%
9.0 5
 
0.2%
ValueCountFrequency (%)
67000.0 1
< 0.1%
6749.0 1
< 0.1%
6688.0 1
< 0.1%
6600.0 1
< 0.1%
6390.0 1
< 0.1%
5630.0 1
< 0.1%
5596.0 1
< 0.1%
5370.0 1
< 0.1%
5323.0 1
< 0.1%
5064.0 1
< 0.1%

자동차총보유대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct346
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean228.6431
Minimum0
Maximum127601
Zeros160
Zeros (%)6.9%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:30.752902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median37
Q391
95-th percentile290.25
Maximum127601
Range127601
Interquartile range (IQR)83

Descriptive statistics

Standard deviation3217.4228
Coefficient of variation (CV)14.071812
Kurtosis1121.3872
Mean228.6431
Median Absolute Deviation (MAD)31
Skewness31.006465
Sum527251
Variance10351809
MonotonicityNot monotonic
2024-05-18T18:08:31.100744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
6.9%
8 64
 
2.8%
10 61
 
2.6%
7 60
 
2.6%
1 59
 
2.6%
6 56
 
2.4%
2 55
 
2.4%
3 49
 
2.1%
4 42
 
1.8%
50 40
 
1.7%
Other values (336) 1660
72.0%
ValueCountFrequency (%)
0 160
6.9%
1 59
 
2.6%
2 55
 
2.4%
3 49
 
2.1%
4 42
 
1.8%
5 39
 
1.7%
6 56
 
2.4%
7 60
 
2.6%
8 64
 
2.8%
9 32
 
1.4%
ValueCountFrequency (%)
127601 1
< 0.1%
51355 1
< 0.1%
46693 1
< 0.1%
31167 2
0.1%
26381 1
< 0.1%
6835 1
< 0.1%
5211 1
< 0.1%
4831 1
< 0.1%
4780 1
< 0.1%
4342 1
< 0.1%

승용차보유대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct322
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.48222
Minimum0
Maximum122934
Zeros180
Zeros (%)7.8%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:31.385592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.25
median33.5
Q386
95-th percentile260.75
Maximum122934
Range122934
Interquartile range (IQR)78.75

Descriptive statistics

Standard deviation3114.3885
Coefficient of variation (CV)14.12535
Kurtosis1102.4956
Mean220.48222
Median Absolute Deviation (MAD)29.5
Skewness30.71502
Sum508432
Variance9699415.6
MonotonicityNot monotonic
2024-05-18T18:08:31.832793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 180
 
7.8%
7 69
 
3.0%
1 67
 
2.9%
6 66
 
2.9%
10 61
 
2.6%
2 58
 
2.5%
4 50
 
2.2%
3 47
 
2.0%
8 43
 
1.9%
5 40
 
1.7%
Other values (312) 1625
70.5%
ValueCountFrequency (%)
0 180
7.8%
1 67
 
2.9%
2 58
 
2.5%
3 47
 
2.0%
4 50
 
2.2%
5 40
 
1.7%
6 66
 
2.9%
7 69
 
3.0%
8 43
 
1.9%
9 39
 
1.7%
ValueCountFrequency (%)
122934 1
< 0.1%
49244 1
< 0.1%
45867 1
< 0.1%
30855 2
0.1%
26286 1
< 0.1%
6655 1
< 0.1%
5210 1
< 0.1%
4831 1
< 0.1%
4780 1
< 0.1%
4174 1
< 0.1%

승합차보유대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct70
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1630529
Minimum0
Maximum2914
Zeros996
Zeros (%)43.2%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:32.237751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile18
Maximum2914
Range2914
Interquartile range (IQR)4

Descriptive statistics

Standard deviation78.292711
Coefficient of variation (CV)10.930076
Kurtosis1055.7979
Mean7.1630529
Median Absolute Deviation (MAD)1
Skewness31.234096
Sum16518
Variance6129.7487
MonotonicityNot monotonic
2024-05-18T18:08:32.668461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 996
43.2%
1 319
 
13.8%
2 205
 
8.9%
3 140
 
6.1%
5 98
 
4.2%
4 94
 
4.1%
6 78
 
3.4%
8 47
 
2.0%
7 43
 
1.9%
9 36
 
1.6%
Other values (60) 250
 
10.8%
ValueCountFrequency (%)
0 996
43.2%
1 319
 
13.8%
2 205
 
8.9%
3 140
 
6.1%
4 94
 
4.1%
5 98
 
4.2%
6 78
 
3.4%
7 43
 
1.9%
8 47
 
2.0%
9 36
 
1.6%
ValueCountFrequency (%)
2914 1
< 0.1%
2111 1
< 0.1%
826 1
< 0.1%
312 2
0.1%
240 1
< 0.1%
180 1
< 0.1%
178 1
< 0.1%
168 1
< 0.1%
167 1
< 0.1%
134 1
< 0.1%

전기승용자동차보유대수
Real number (ℝ)

SKEWED  ZEROS 

Distinct58
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.2428448
Minimum0
Maximum1753
Zeros2093
Zeros (%)90.8%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:33.081305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum1753
Range1753
Interquartile range (IQR)0

Descriptive statistics

Standard deviation46.486963
Coefficient of variation (CV)14.335242
Kurtosis1090.6167
Mean3.2428448
Median Absolute Deviation (MAD)0
Skewness31.6377
Sum7478
Variance2161.0377
MonotonicityNot monotonic
2024-05-18T18:08:33.523791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2093
90.8%
1 35
 
1.5%
2 23
 
1.0%
5 13
 
0.6%
3 10
 
0.4%
6 9
 
0.4%
11 8
 
0.3%
9 7
 
0.3%
24 6
 
0.3%
12 6
 
0.3%
Other values (48) 96
 
4.2%
ValueCountFrequency (%)
0 2093
90.8%
1 35
 
1.5%
2 23
 
1.0%
3 10
 
0.4%
4 4
 
0.2%
5 13
 
0.6%
6 9
 
0.4%
7 4
 
0.2%
8 4
 
0.2%
9 7
 
0.3%
ValueCountFrequency (%)
1753 1
< 0.1%
1242 1
< 0.1%
285 1
< 0.1%
229 1
< 0.1%
216 1
< 0.1%
193 1
< 0.1%
120 1
< 0.1%
119 1
< 0.1%
108 2
0.1%
101 1
< 0.1%

전기승합자동차보유대수
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
0
2305 
10
 
1

Length

Max length2
Median length1
Mean length1.0004337
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 2305
> 99.9%
10 1
 
< 0.1%

Length

2024-05-18T18:08:33.928956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T18:08:34.218394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 2305
> 99.9%
10 1
 
< 0.1%

경차요금
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)8.8%
Missing1986
Missing (%)86.1%
Infinite0
Infinite (%)0.0%
Mean41894.281
Minimum0
Maximum380000
Zeros83
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:34.454006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median50000
Q360000
95-th percentile95000
Maximum380000
Range380000
Interquartile range (IQR)60000

Descriptive statistics

Standard deviation35120.546
Coefficient of variation (CV)0.83831361
Kurtosis26.513306
Mean41894.281
Median Absolute Deviation (MAD)10000
Skewness2.8740271
Sum13406170
Variance1.2334528 × 109
MonotonicityNot monotonic
2024-05-18T18:08:34.837469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
50000 119
 
5.2%
0 83
 
3.6%
60000 54
 
2.3%
40000 11
 
0.5%
95000 6
 
0.3%
105000 5
 
0.2%
53000 4
 
0.2%
100000 4
 
0.2%
6 4
 
0.2%
70000 4
 
0.2%
Other values (18) 26
 
1.1%
(Missing) 1986
86.1%
ValueCountFrequency (%)
0 83
3.6%
5 2
 
0.1%
6 4
 
0.2%
8 2
 
0.1%
5000 1
 
< 0.1%
35000 1
 
< 0.1%
40000 11
 
0.5%
44410 2
 
0.1%
45000 1
 
< 0.1%
50000 119
5.2%
ValueCountFrequency (%)
380000 1
 
< 0.1%
190000 1
 
< 0.1%
120000 1
 
< 0.1%
105000 5
0.2%
104500 1
 
< 0.1%
100000 4
0.2%
95000 6
0.3%
80000 1
 
< 0.1%
74000 1
 
< 0.1%
70000 4
0.2%

소형차요금
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)8.6%
Missing1967
Missing (%)85.3%
Infinite0
Infinite (%)0.0%
Mean54466.077
Minimum0
Maximum570000
Zeros79
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:35.336224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150000
median60000
Q370000
95-th percentile108200
Maximum570000
Range570000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation43996.616
Coefficient of variation (CV)0.80778016
Kurtosis55.220359
Mean54466.077
Median Absolute Deviation (MAD)10000
Skewness4.731172
Sum18464000
Variance1.9357022 × 109
MonotonicityNot monotonic
2024-05-18T18:08:35.735202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
60000 118
 
5.1%
0 79
 
3.4%
70000 71
 
3.1%
80000 15
 
0.7%
50000 13
 
0.6%
121000 5
 
0.2%
56000 4
 
0.2%
71500 4
 
0.2%
100000 3
 
0.1%
75000 2
 
0.1%
Other values (19) 25
 
1.1%
(Missing) 1967
85.3%
ValueCountFrequency (%)
0 79
3.4%
11000 1
 
< 0.1%
50000 13
 
0.6%
56000 4
 
0.2%
57000 2
 
0.1%
60000 118
5.1%
65000 1
 
< 0.1%
67000 2
 
0.1%
70000 71
3.1%
71500 4
 
0.2%
ValueCountFrequency (%)
570000 1
 
< 0.1%
210000 1
 
< 0.1%
163000 1
 
< 0.1%
147000 2
 
0.1%
130000 1
 
< 0.1%
125000 1
 
< 0.1%
121000 5
0.2%
120000 2
 
0.1%
115000 1
 
< 0.1%
110000 2
 
0.1%

중형차요금
Categorical

IMBALANCE 

Distinct38
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
<NA>
1942 
70000
 
115
0
 
79
80000
 
69
90000
 
23
Other values (33)
 
78

Length

Max length6
Median length4
Mean length4.0477016
Min length1

Unique

Unique17 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1942
84.2%
70000 115
 
5.0%
0 79
 
3.4%
80000 69
 
3.0%
90000 23
 
1.0%
100000 19
 
0.8%
60000 5
 
0.2%
170000 4
 
0.2%
84000 4
 
0.2%
180000 3
 
0.1%
Other values (28) 43
 
1.9%

Length

2024-05-18T18:08:36.330941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1942
84.2%
70000 116
 
5.0%
0 79
 
3.4%
80000 70
 
3.0%
90000 23
 
1.0%
100000 19
 
0.8%
60000 5
 
0.2%
170000 4
 
0.2%
84000 4
 
0.2%
180000 3
 
0.1%
Other values (26) 41
 
1.8%

대형차요금
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)10.6%
Missing1958
Missing (%)84.9%
Infinite0
Infinite (%)0.0%
Mean106967.84
Minimum0
Maximum820000
Zeros81
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:36.765462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q190000
median100000
Q3130000
95-th percentile285000
Maximum820000
Range820000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation89685.115
Coefficient of variation (CV)0.83843061
Kurtosis12.604349
Mean106967.84
Median Absolute Deviation (MAD)30000
Skewness2.2398221
Sum37224810
Variance8.0434199 × 109
MonotonicityNot monotonic
2024-05-18T18:08:37.316517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
100000 114
 
4.9%
0 81
 
3.5%
120000 33
 
1.4%
130000 32
 
1.4%
150000 23
 
1.0%
110000 8
 
0.3%
300000 5
 
0.2%
90000 5
 
0.2%
140000 4
 
0.2%
80000 4
 
0.2%
Other values (27) 39
 
1.7%
(Missing) 1958
84.9%
ValueCountFrequency (%)
0 81
3.5%
80000 4
 
0.2%
90000 5
 
0.2%
100000 114
4.9%
110000 8
 
0.3%
120000 33
 
1.4%
130000 32
 
1.4%
140000 4
 
0.2%
150000 23
 
1.0%
155000 1
 
< 0.1%
ValueCountFrequency (%)
820000 1
 
< 0.1%
460000 1
 
< 0.1%
450000 1
 
< 0.1%
439000 1
 
< 0.1%
399000 1
 
< 0.1%
340000 1
 
< 0.1%
320000 2
 
0.1%
310000 2
 
0.1%
300000 5
0.2%
299000 2
 
0.1%

승합차요금
Real number (ℝ)

MISSING  ZEROS 

Distinct40
Distinct (%)11.5%
Missing1959
Missing (%)85.0%
Infinite0
Infinite (%)0.0%
Mean102738.53
Minimum0
Maximum900000
Zeros79
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:37.779279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1913
median120000
Q3141500
95-th percentile200000
Maximum900000
Range900000
Interquartile range (IQR)140587

Descriptive statistics

Standard deviation78986.344
Coefficient of variation (CV)0.76880934
Kurtosis28.857653
Mean102738.53
Median Absolute Deviation (MAD)30000
Skewness2.7765881
Sum35650271
Variance6.2388425 × 109
MonotonicityNot monotonic
2024-05-18T18:08:38.214268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
120000 120
 
5.2%
0 79
 
3.4%
150000 53
 
2.3%
100000 16
 
0.7%
130000 13
 
0.6%
110000 8
 
0.3%
220000 5
 
0.2%
160000 5
 
0.2%
95000 4
 
0.2%
250000 3
 
0.1%
Other values (30) 41
 
1.8%
(Missing) 1959
85.0%
ValueCountFrequency (%)
0 79
3.4%
10 2
 
0.1%
12 2
 
0.1%
13 2
 
0.1%
15 2
 
0.1%
1811 1
 
< 0.1%
10000 1
 
< 0.1%
12000 1
 
< 0.1%
80000 1
 
< 0.1%
85180 2
 
0.1%
ValueCountFrequency (%)
900000 1
 
< 0.1%
290000 1
 
< 0.1%
280000 1
 
< 0.1%
270000 1
 
< 0.1%
257000 1
 
< 0.1%
250000 3
0.1%
242000 1
 
< 0.1%
240000 1
 
< 0.1%
236000 2
 
0.1%
220000 5
0.2%

레저용차요금
Real number (ℝ)

MISSING  ZEROS 

Distinct18
Distinct (%)8.5%
Missing2094
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean123098.4
Minimum0
Maximum500000
Zeros96
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:38.818721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median130000
Q3300000
95-th percentile300000
Maximum500000
Range500000
Interquartile range (IQR)300000

Descriptive statistics

Standard deviation127724.65
Coefficient of variation (CV)1.0375818
Kurtosis-1.2628635
Mean123098.4
Median Absolute Deviation (MAD)130000
Skewness0.43396279
Sum26096860
Variance1.6313587 × 1010
MonotonicityNot monotonic
2024-05-18T18:08:39.286079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 96
 
4.2%
300000 55
 
2.4%
150000 33
 
1.4%
130000 5
 
0.2%
200000 3
 
0.1%
100000 3
 
0.1%
85180 2
 
0.1%
245000 2
 
0.1%
120000 2
 
0.1%
145000 2
 
0.1%
Other values (8) 9
 
0.4%
(Missing) 2094
90.8%
ValueCountFrequency (%)
0 96
4.2%
85180 2
 
0.1%
90000 2
 
0.1%
100000 3
 
0.1%
120000 2
 
0.1%
130000 5
 
0.2%
145000 2
 
0.1%
150000 33
 
1.4%
171500 1
 
< 0.1%
180000 1
 
< 0.1%
ValueCountFrequency (%)
500000 1
 
< 0.1%
300000 55
2.4%
250000 1
 
< 0.1%
245000 2
 
0.1%
240000 1
 
< 0.1%
200000 3
 
0.1%
195000 1
 
< 0.1%
190000 1
 
< 0.1%
180000 1
 
< 0.1%
171500 1
 
< 0.1%

수입차요금
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)9.9%
Missing2093
Missing (%)90.8%
Infinite0
Infinite (%)0.0%
Mean142728.36
Minimum0
Maximum790000
Zeros98
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:39.704455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median185000
Q3250000
95-th percentile364000
Maximum790000
Range790000
Interquartile range (IQR)250000

Descriptive statistics

Standard deviation147479.33
Coefficient of variation (CV)1.0332869
Kurtosis0.50340338
Mean142728.36
Median Absolute Deviation (MAD)185000
Skewness0.67572956
Sum30401140
Variance2.1750154 × 1010
MonotonicityNot monotonic
2024-05-18T18:08:40.190869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 98
 
4.2%
250000 77
 
3.3%
200000 6
 
0.3%
400000 4
 
0.2%
150000 4
 
0.2%
350000 3
 
0.1%
450000 2
 
0.1%
220000 2
 
0.1%
330000 2
 
0.1%
500000 2
 
0.1%
Other values (11) 13
 
0.6%
(Missing) 2093
90.8%
ValueCountFrequency (%)
0 98
4.2%
60570 2
 
0.1%
130000 1
 
< 0.1%
135000 1
 
< 0.1%
150000 4
 
0.2%
185000 2
 
0.1%
200000 6
 
0.3%
220000 2
 
0.1%
230000 1
 
< 0.1%
250000 77
3.3%
ValueCountFrequency (%)
790000 1
 
< 0.1%
580000 1
 
< 0.1%
500000 2
0.1%
450000 2
0.1%
400000 4
0.2%
385000 1
 
< 0.1%
350000 3
0.1%
340000 1
 
< 0.1%
330000 2
0.1%
320000 1
 
< 0.1%

평일운영시작시각
Date

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
Minimum2024-05-18 00:00:00
Maximum2024-05-18 19:00:00
2024-05-18T18:08:40.724472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:08:41.206083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

평일운영종료시각
Date

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
Minimum2024-05-18 00:00:00
Maximum2024-05-18 23:59:00
2024-05-18T18:08:41.630094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:08:42.058529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)

주말운영시작시각
Date

MISSING 

Distinct10
Distinct (%)1.3%
Missing1523
Missing (%)66.0%
Memory size18.1 KiB
Minimum2024-05-18 00:00:00
Maximum2024-05-18 13:00:00
2024-05-18T18:08:42.572178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:08:43.008318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)

주말운영종료시각
Date

MISSING 

Distinct17
Distinct (%)2.2%
Missing1524
Missing (%)66.1%
Memory size18.1 KiB
Minimum2024-05-18 00:00:00
Maximum2024-05-18 23:59:00
2024-05-18T18:08:43.491197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:08:43.912002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

공휴일운영시작시각
Date

MISSING 

Distinct11
Distinct (%)1.5%
Missing1573
Missing (%)68.2%
Memory size18.1 KiB
Minimum2024-05-18 00:00:00
Maximum2024-05-18 18:00:00
2024-05-18T18:08:44.345932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:08:44.758610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

공휴일운영종료시각
Date

MISSING 

Distinct15
Distinct (%)2.0%
Missing1573
Missing (%)68.2%
Memory size18.1 KiB
Minimum2024-05-18 00:00:00
Maximum2024-05-18 23:59:00
2024-05-18T18:08:45.116926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:08:45.533777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

휴무일
Categorical

IMBALANCE 

Distinct26
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
<NA>
1878 
연중무휴
266 
명절
 
55
토+일+공휴일
 
20
연중
 
15
Other values (21)
 
72

Length

Max length15
Median length4
Mean length4.0190807
Min length1

Unique

Unique9 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1878
81.4%
연중무휴 266
 
11.5%
명절 55
 
2.4%
토+일+공휴일 20
 
0.9%
연중 15
 
0.7%
없음 11
 
0.5%
공휴일 9
 
0.4%
토(격주)+일+국가지정공휴일 6
 
0.3%
설 당일+추석 당일 6
 
0.3%
일요일+공휴일 5
 
0.2%
Other values (16) 35
 
1.5%

Length

2024-05-18T18:08:45.997671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1878
80.7%
연중무휴 266
 
11.4%
명절 55
 
2.4%
토+일+공휴일 20
 
0.9%
연중 15
 
0.6%
없음 11
 
0.5%
설 10
 
0.4%
공휴일 9
 
0.4%
토(격주)+일+국가지정공휴일 6
 
0.3%
당일+추석 6
 
0.3%
Other values (19) 50
 
2.1%

홈페이지주소
Text

MISSING 

Distinct61
Distinct (%)39.1%
Missing2150
Missing (%)93.2%
Memory size18.1 KiB
2024-05-18T18:08:46.565037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length45
Mean length15.083333
Min length2

Characters and Unicode

Total characters2353
Distinct characters54
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)28.2%

Sample

1st rowhttps://djbest.modoo.at/
2nd rowwww.woosungrentcar.com
3rd rowwww.skcarrental.com
4th rowhttp://syrent.alltheway.kr/
5th rowhttp://www.1rent.co.kr/
ValueCountFrequency (%)
없음 61
38.9%
dysrentcar.com 8
 
5.1%
dyrentacar.co.kr 7
 
4.5%
www.jetcar.co.kr 6
 
3.8%
www.skcarrental.com 4
 
2.5%
http://hanilrent.alltheway.kr 4
 
2.5%
www.socar.kr 3
 
1.9%
https://onelentcar.modoo.at 2
 
1.3%
http://xn--sm2bt5an3pxvm79eba.waplus.kr/bbs/board.php?bo_table=31 2
 
1.3%
http://haneulrentcar.co.kr 2
 
1.3%
Other values (51) 58
36.9%
2024-05-18T18:08:47.675090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 215
 
9.1%
. 195
 
8.3%
r 195
 
8.3%
a 147
 
6.2%
/ 146
 
6.2%
w 144
 
6.1%
c 138
 
5.9%
o 126
 
5.4%
e 111
 
4.7%
n 110
 
4.7%
Other values (44) 826
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1743
74.1%
Other Punctuation 398
 
16.9%
Other Letter 133
 
5.7%
Decimal Number 60
 
2.5%
Dash Punctuation 9
 
0.4%
Connector Punctuation 3
 
0.1%
Close Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%
Open Punctuation 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 215
12.3%
r 195
11.2%
a 147
 
8.4%
w 144
 
8.3%
c 138
 
7.9%
o 126
 
7.2%
e 111
 
6.4%
n 110
 
6.3%
h 82
 
4.7%
p 72
 
4.1%
Other values (14) 403
23.1%
Other Letter
ValueCountFrequency (%)
음 61
45.9%
없 61
45.9%
렌 2
 
1.5%
트 2
 
1.5%
카 2
 
1.5%
동 1
 
0.8%
양 1
 
0.8%
주 1
 
0.8%
신 1
 
0.8%
형 1
 
0.8%
Decimal Number
ValueCountFrequency (%)
1 9
15.0%
5 9
15.0%
2 7
11.7%
7 6
10.0%
9 6
10.0%
3 6
10.0%
6 5
8.3%
8 4
6.7%
0 4
6.7%
4 4
6.7%
Other Punctuation
ValueCountFrequency (%)
. 195
49.0%
/ 146
36.7%
: 54
 
13.6%
? 3
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1743
74.1%
Common 477
 
20.3%
Hangul 133
 
5.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 215
12.3%
r 195
11.2%
a 147
 
8.4%
w 144
 
8.3%
c 138
 
7.9%
o 126
 
7.2%
e 111
 
6.4%
n 110
 
6.3%
h 82
 
4.7%
p 72
 
4.1%
Other values (14) 403
23.1%
Common
ValueCountFrequency (%)
. 195
40.9%
/ 146
30.6%
: 54
 
11.3%
1 9
 
1.9%
5 9
 
1.9%
- 9
 
1.9%
2 7
 
1.5%
7 6
 
1.3%
9 6
 
1.3%
3 6
 
1.3%
Other values (10) 30
 
6.3%
Hangul
ValueCountFrequency (%)
음 61
45.9%
없 61
45.9%
렌 2
 
1.5%
트 2
 
1.5%
카 2
 
1.5%
동 1
 
0.8%
양 1
 
0.8%
주 1
 
0.8%
신 1
 
0.8%
형 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2220
94.3%
Hangul 133
 
5.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 215
 
9.7%
. 195
 
8.8%
r 195
 
8.8%
a 147
 
6.6%
/ 146
 
6.6%
w 144
 
6.5%
c 138
 
6.2%
o 126
 
5.7%
e 111
 
5.0%
n 110
 
5.0%
Other values (34) 693
31.2%
Hangul
ValueCountFrequency (%)
음 61
45.9%
없 61
45.9%
렌 2
 
1.5%
트 2
 
1.5%
카 2
 
1.5%
동 1
 
0.8%
양 1
 
0.8%
주 1
 
0.8%
신 1
 
0.8%
형 1
 
0.8%

대표자명
Text

MISSING 

Distinct727
Distinct (%)61.5%
Missing1123
Missing (%)48.7%
Memory size18.1 KiB
2024-05-18T18:08:48.576481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length3
Mean length3.103973
Min length2

Characters and Unicode

Total characters3672
Distinct characters201
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique516 ?
Unique (%)43.6%

Sample

1st row김성환
2nd row김성환
3rd row김성환
4th row김효순
5th row김효순
ValueCountFrequency (%)
표현명 17
 
1.4%
홍성희 13
 
1.1%
박재욱 12
 
1.0%
소옥자 12
 
1.0%
김경수 11
 
0.9%
이재웅 10
 
0.8%
조석호 10
 
0.8%
최은주 9
 
0.8%
구순희 9
 
0.8%
김원길 8
 
0.7%
Other values (724) 1083
90.7%
2024-05-18T18:08:49.931096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 255
 
6.9%
이 137
 
3.7%
영 109
 
3.0%
정 106
 
2.9%
박 93
 
2.5%
현 84
 
2.3%
성 81
 
2.2%
수 75
 
2.0%
석 64
 
1.7%
재 63
 
1.7%
Other values (191) 2605
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3635
99.0%
Math Symbol 21
 
0.6%
Space Separator 11
 
0.3%
Decimal Number 3
 
0.1%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 255
 
7.0%
이 137
 
3.8%
영 109
 
3.0%
정 106
 
2.9%
박 93
 
2.6%
현 84
 
2.3%
성 81
 
2.2%
수 75
 
2.1%
석 64
 
1.8%
재 63
 
1.7%
Other values (186) 2568
70.6%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 21
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3635
99.0%
Common 37
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 255
 
7.0%
이 137
 
3.8%
영 109
 
3.0%
정 106
 
2.9%
박 93
 
2.6%
현 84
 
2.3%
성 81
 
2.2%
수 75
 
2.1%
석 64
 
1.8%
재 63
 
1.7%
Other values (186) 2568
70.6%
Common
ValueCountFrequency (%)
+ 21
56.8%
11
29.7%
1 2
 
5.4%
, 2
 
5.4%
2 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3635
99.0%
ASCII 37
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 255
 
7.0%
이 137
 
3.8%
영 109
 
3.0%
정 106
 
2.9%
박 93
 
2.6%
현 84
 
2.3%
성 81
 
2.2%
수 75
 
2.1%
석 64
 
1.8%
재 63
 
1.7%
Other values (186) 2568
70.6%
ASCII
ValueCountFrequency (%)
+ 21
56.8%
11
29.7%
1 2
 
5.4%
, 2
 
5.4%
2 1
 
2.7%

전화번호
Text

Distinct1560
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-18T18:08:50.876255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.842151
Min length9

Characters and Unicode

Total characters27308
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

Unique1205 ?
Unique (%)52.3%

Sample

1st row042-226-7770
2nd row042-226-7770
3rd row042-226-7770
4th row042-610-0014
5th row042-610-0014
ValueCountFrequency (%)
000-0000-0000 68
 
2.9%
1833-2816 22
 
1.0%
02-3461-1437 19
 
0.8%
02-590-7264 18
 
0.8%
080-2000-3000 15
 
0.7%
02-599-0333 15
 
0.7%
1661-3315 13
 
0.6%
02-2241-8278 11
 
0.5%
041-853-1527 11
 
0.5%
070-4352-2110 11
 
0.5%
Other values (1550) 2103
91.2%
2024-05-18T18:08:52.379604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5160
18.9%
- 4471
16.4%
3 2573
9.4%
2 2407
8.8%
1 2242
8.2%
5 2240
8.2%
4 2166
7.9%
6 1828
 
6.7%
7 1641
 
6.0%
8 1517
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22837
83.6%
Dash Punctuation 4471
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5160
22.6%
3 2573
11.3%
2 2407
10.5%
1 2242
9.8%
5 2240
9.8%
4 2166
9.5%
6 1828
 
8.0%
7 1641
 
7.2%
8 1517
 
6.6%
9 1063
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 4471
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27308
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5160
18.9%
- 4471
16.4%
3 2573
9.4%
2 2407
8.8%
1 2242
8.2%
5 2240
8.2%
4 2166
7.9%
6 1828
 
6.7%
7 1641
 
6.0%
8 1517
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27308
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5160
18.9%
- 4471
16.4%
3 2573
9.4%
2 2407
8.8%
1 2242
8.2%
5 2240
8.2%
4 2166
7.9%
6 1828
 
6.7%
7 1641
 
6.0%
8 1517
 
5.6%

데이터기준일자
Date

Distinct129
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
Minimum2020-01-29 00:00:00
Maximum2024-04-23 00:00:00
2024-05-18T18:08:52.973377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-18T18:08:53.634258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제공기관코드
Real number (ℝ)

Distinct197
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4654831.5
Minimum3000000
Maximum6500000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.4 KiB
2024-05-18T18:08:54.105516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000000
5-th percentile3150000
Q13910000
median4490000
Q35537500
95-th percentile6310000
Maximum6500000
Range3500000
Interquartile range (IQR)1627500

Descriptive statistics

Standard deviation1078652.9
Coefficient of variation (CV)0.23172759
Kurtosis-1.0948607
Mean4654831.5
Median Absolute Deviation (MAD)840000
Skewness0.28504438
Sum1.0734042 × 1010
Variance1.1634921 × 1012
MonotonicityNot monotonic
2024-05-18T18:08:54.609398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6300000 176
 
7.6%
6500000 112
 
4.9%
3210000 103
 
4.5%
6270000 55
 
2.4%
6310000 55
 
2.4%
3940000 48
 
2.1%
4200000 44
 
1.9%
4201000 43
 
1.9%
4020000 43
 
1.9%
6260000 42
 
1.8%
Other values (187) 1585
68.7%
ValueCountFrequency (%)
3000000 5
 
0.2%
3010000 11
0.5%
3020000 15
0.7%
3030000 22
1.0%
3040000 14
0.6%
3050000 6
 
0.3%
3060000 5
 
0.2%
3070000 1
 
< 0.1%
3090000 3
 
0.1%
3100000 7
 
0.3%
ValueCountFrequency (%)
6500000 112
4.9%
6310000 55
 
2.4%
6300000 176
7.6%
6270000 55
 
2.4%
6260000 42
 
1.8%
5710000 36
 
1.6%
5700000 2
 
0.1%
5690000 17
 
0.7%
5680000 15
 
0.7%
5670000 32
 
1.4%

제공기관명
Text

Distinct197
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-05-18T18:08:55.665731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.7081526
Min length5

Characters and Unicode

Total characters17775
Distinct characters124
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

Unique20 ?
Unique (%)0.9%

Sample

1st row대전광역시
2nd row대전광역시
3rd row대전광역시
4th row대전광역시
5th row대전광역시
ValueCountFrequency (%)
경기도 429
 
10.3%
서울특별시 355
 
8.5%
대전광역시 176
 
4.2%
경상북도 152
 
3.7%
경상남도 131
 
3.2%
강원도 127
 
3.1%
충청남도 120
 
2.9%
강원특별자치도 114
 
2.7%
전라남도 112
 
2.7%
제주특별자치도 112
 
2.7%
Other values (172) 2327
56.0%
2024-05-18T18:08:57.277536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1932
 
10.9%
1849
 
10.4%
도 1495
 
8.4%
경 746
 
4.2%
특 647
 
3.6%
별 647
 
3.6%
광 593
 
3.3%
구 564
 
3.2%
서 541
 
3.0%
남 481
 
2.7%
Other values (114) 8280
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15926
89.6%
Space Separator 1849
 
10.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1932
 
12.1%
도 1495
 
9.4%
경 746
 
4.7%
특 647
 
4.1%
별 647
 
4.1%
광 593
 
3.7%
구 564
 
3.5%
서 541
 
3.4%
남 481
 
3.0%
역 452
 
2.8%
Other values (113) 7828
49.2%
Space Separator
ValueCountFrequency (%)
1849
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15926
89.6%
Common 1849
 
10.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1932
 
12.1%
도 1495
 
9.4%
경 746
 
4.7%
특 647
 
4.1%
별 647
 
4.1%
광 593
 
3.7%
구 564
 
3.5%
서 541
 
3.4%
남 481
 
3.0%
역 452
 
2.8%
Other values (113) 7828
49.2%
Common
ValueCountFrequency (%)
1849
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15926
89.6%
ASCII 1849
 
10.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1932
 
12.1%
도 1495
 
9.4%
경 746
 
4.7%
특 647
 
4.1%
별 647
 
4.1%
광 593
 
3.7%
구 564
 
3.5%
서 541
 
3.4%
남 481
 
3.0%
역 452
 
2.8%
Other values (113) 7828
49.2%
ASCII
ValueCountFrequency (%)
1849
100.0%

Sample

업체명사업장구분소재지도로명주소소재지지번주소위도경도차고지도로명주소차고지지번주소보유차고지수용능력자동차총보유대수승용차보유대수승합차보유대수전기승용자동차보유대수전기승합자동차보유대수경차요금소형차요금중형차요금대형차요금승합차요금레저용차요금수입차요금평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각공휴일운영시작시각공휴일운영종료시각휴무일홈페이지주소대표자명전화번호데이터기준일자제공기관코드제공기관명
0㈜지엠물류주사업장대전광역시 중구 대종로550번길 5, 1306호(선화동, 유원오피스텔)대전광역시 중구 선화동 79-14, 유원오피스텔 1306호36.332571127.421647대전광역시 대덕구 한남로114번길 1대전광역시 대덕구 오정동 448-556.03623412100<NA><NA><NA><NA><NA><NA><NA>09:0018:0009:0018:0009:0018:00<NA><NA>김성환042-226-77702021-07-056300000대전광역시
1㈜지엠물류주사업장대전광역시 중구 대종로550번길 5, 1306호(선화동, 유원오피스텔)대전광역시 중구 선화동 79-14, 유원오피스텔 1306호36.332571127.421647충남 금산군 진산면 만악리 432-5충남 금산군 진산면 만악리 432-5112.000000<NA><NA><NA><NA><NA><NA><NA>09:0018:0009:0018:0009:0018:00<NA><NA>김성환042-226-77702021-07-056300000대전광역시
2㈜지엠물류주사업장대전광역시 중구 대종로550번길 5, 1306호(선화동, 유원오피스텔)대전광역시 중구 선화동 79-14, 유원오피스텔 1306호36.332571127.421647충남 논산시 광석면 천동리 373-1충남 논산시 광석면 천동리 373-1246.000000<NA><NA><NA><NA><NA><NA><NA>09:0018:0009:0018:0009:0018:00<NA><NA>김성환042-226-77702021-07-056300000대전광역시
3누리렌트카㈜주사업장대전광역시 서구 월평로13번길 60, 1층(월평동)대전광역시 서구 월평동 41136.357411127.359417대전광역시 동구 대전천동로 58대전광역시 동구 대성동 173-357.05952700<NA><NA><NA><NA><NA><NA><NA>09:0018:0009:0018:0009:0018:00<NA><NA>김효순042-610-00142021-07-056300000대전광역시
4누리렌트카㈜주사업장대전광역시 서구 월평로13번길 60, 1층(월평동)대전광역시 서구 월평동 41136.357411127.359417대전광역시 서구 신갈마로141번길 14대전광역시 서구 갈마동 377-2131.000000<NA><NA><NA><NA><NA><NA><NA>09:0018:0009:0018:0009:0018:00<NA><NA>김효순042-610-00142021-07-056300000대전광역시
5대경렌트카㈜주사업장대전광역시 서구 계백로 1400, 2층(도마동)대전광역시 서구 도마동 188-736.311493127.37733대전광역시 서구 가수원동 1090대전광역시 서구 가수원동 109078.06262000<NA><NA><NA><NA><NA><NA><NA>09:0018:0009:0018:0009:0018:00<NA><NA>김성태042-586-60612021-07-056300000대전광역시
6㈜대원렌트카주사업장대전광역시 서구 갈마로 146, 2층(괴정동)대전광역시 서구 괴정동 413-8, 2층36.340394127.373354대전광역시 서구 갈마로 146(괴정동)대전광역시 서구 괴정동 413-87.055000<NA><NA><NA><NA><NA><NA><NA>09:0018:0009:0018:0009:0018:00<NA><NA>조정식042-476-33222021-07-056300000대전광역시
7대전렌트카㈜주사업장대전광역시 서구 둔산서로 9, 603호(둔산동, 씨에프프라자)대전광역시 서구 둔산동 1251, 씨에프프라자 603호36.347536127.382606세종특별자치시 부강면 연청로 745-46세종특별자치시 부강면 갈산리 470-273.0153148500<NA><NA><NA><NA><NA><NA><NA>09:0018:0009:0018:0009:0018:00<NA><NA>임완수042-484-31102021-07-056300000대전광역시
8대전렌트카㈜주사업장대전광역시 서구 둔산서로 9, 603호(둔산동, 씨에프프라자)대전광역시 서구 둔산동 1251, 씨에프프라자 603호36.347536127.382606대전광역시 서구 우명동 326-1대전광역시 서구 우명동 326-120.000000<NA><NA><NA><NA><NA><NA><NA>09:0018:0009:0018:0009:0018:00<NA><NA>임완수042-484-31102021-07-056300000대전광역시
9대전렌트카㈜주사업장대전광역시 서구 둔산서로 9, 603호(둔산동, 씨에프프라자)대전광역시 서구 둔산동 1251, 씨에프프라자 603호36.347536127.382606충남 금산군 복수면 다복리 168-4충남 금산군 복수면 다복리 168-450.000000<NA><NA><NA><NA><NA><NA><NA>09:0018:0009:0018:0009:0018:00<NA><NA>임완수042-484-31102021-07-056300000대전광역시
업체명사업장구분소재지도로명주소소재지지번주소위도경도차고지도로명주소차고지지번주소보유차고지수용능력자동차총보유대수승용차보유대수승합차보유대수전기승용자동차보유대수전기승합자동차보유대수경차요금소형차요금중형차요금대형차요금승합차요금레저용차요금수입차요금평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각공휴일운영시작시각공휴일운영종료시각휴무일홈페이지주소대표자명전화번호데이터기준일자제공기관코드제공기관명
2296(주)뉴신화렌트카주사업장경상북도 구미시 송정대로10길5경상북도 구미시 송정동 277-436.119269128.356451경상북도 구미시 송정대로10길 5+거양길 231-7경상북도 구미시 송정동 277-4+양호동 809993.06560500<NA><NA><NA><NA><NA><NA><NA>08:3020:0008:3020:0008:3020:00<NA><NA>임은경054-444-81822023-10-175080000경상북도 구미시
2297(주)한화렌트카주사업장경상북도 구미시 송원서로 80 (원평동)경상북도 구미시 원평동 1042-336.124598128.343947경상북도 구미시 산동읍 옥계2공단로 642+송원서로78경상북도 구미시 산동읍 성수리 146+원평동 1042-46688.06362100<NA><NA><NA><NA><NA><NA><NA>09:0020:0009:0020:00<NA><NA>일+공휴일<NA>한인석054-457-20022023-10-175080000경상북도 구미시
2298㈜용인렌트카주사업장경상북도 구미시 야은로 276경상북도 구미시 봉곡동 48-836.139087128.313179<NA>경상북도 구미시 봉곡동 48-122023.0140136400<NA><NA><NA><NA><NA><NA><NA>09:0023:0009:0023:0009:0023:00<NA><NA>백선미054-457-19112023-10-175080000경상북도 구미시
2299브이아이피렌트카㈜주사업장경상북도 구미시 야은로 713(원평동)경상북도 구미시 원평동 560-136.126042128.35792<NA>경상북도 구미시 도개면 신곡리54+고아읍 문성리 163-231169.160501000<NA><NA><NA><NA><NA><NA><NA>08:3021:0008:3021:0008:3021:00<NA><NA>홍현표054-456-00442023-10-175080000경상북도 구미시
2300에스디렌터카주사업장전라북도 익산시 익산대로 433(신동)전라북도 익산시 신동 401-335.964638126.953093전라북도 익산시 황등면 후정길 68전라북도 익산시 황등면 율촌리 804-172.05852600600007500090000140000<NA><NA><NA>09:0018:00<NA><NA><NA><NA>토+일+공휴일<NA>김수정063-0858-44382024-01-094680000전라북도 익산시
2301아이엠에스원(주)주사업장서울특별시 광진구 아차산로 355, 305호-307호 (자양동, 타워더모스트광진아크로텔)<NA>37.537368127.082566서울특별시 영등포구 국제금융로2길 37 에스트레뉴 주차장<NA><NA>3535000<NA><NA><NA><NA><NA><NA><NA>00:0023:59<NA><NA><NA><NA><NA><NA><NA>02-557-87522024-02-133040000서울특별시 광진구
2302(주)솔렌터카주사업장서울특별시 광진구 아차산로 355,207호 (타워더모스트 광진아크로텔)<NA>37.537368127.082566서울특별시 서초구 매헌로 16서울특별시 양천구 신월동 21-1<NA>33000<NA><NA><NA><NA><NA><NA><NA>00:0023:59<NA><NA><NA><NA><NA><NA><NA>1599-19402024-02-133040000서울특별시 광진구
2303(주)조렌트카주사업장서울특별시 광진구 천호대로136길 7 (구의동)<NA>37.548902127.091686서울특별시 강서구 마곡서로 157<NA><NA>9999000<NA><NA><NA><NA><NA><NA><NA>00:0023:59<NA><NA><NA><NA><NA><NA><NA>02-458-93142024-02-133040000서울특별시 광진구
2304와이컴머스주사업장서울특별시 동대문구 답십리로 222-1서울특별시 동대문구 답십리동 3-3537.572622127.064936서울특별시 강서구 양천로 476. 롯데시네마 B6서울특별시강서구등촌동 73-1 금부빌딩<NA>48453140<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA><NA>02-2244-77282024-02-273050000서울특별시 동대문구
2305(주)가가렌트카 남원영업소영업소전북특별자치도 남원시 충정로 37<NA>35.411687127.380228전북특별자치도 남원시 충정로 32<NA><NA>1614200<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA><NA>063-626-12212024-02-194701000전북특별자치도 남원시