Overview

Dataset statistics

Number of variables32
Number of observations383
Missing cells2697
Missing cells (%)22.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory101.5 KiB
Average record size in memory271.3 B

Variable types

Text8
Categorical12
Numeric12

Dataset

Description렌터카업체 정보 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=DYJVTFXS7KWPR42F7VDM25922622&infSeq=1

Alerts

전기승합자동차보유대수 has constant value ""Constant
레저용차요금 is highly imbalanced (89.4%)Imbalance
수입차요금 is highly imbalanced (87.1%)Imbalance
평일운영시작시각 is highly imbalanced (51.0%)Imbalance
주말운영시작시각 is highly imbalanced (61.1%)Imbalance
주말운영종료시각 is highly imbalanced (65.4%)Imbalance
공휴일운영시작시각 is highly imbalanced (61.2%)Imbalance
공휴일운영종료시각 is highly imbalanced (64.1%)Imbalance
휴무일 is highly imbalanced (79.3%)Imbalance
차고지도로명주소 has 54 (14.1%) missing valuesMissing
차고지지번주소 has 102 (26.6%) missing valuesMissing
보유차고지수용능력 has 239 (62.4%) missing valuesMissing
경차요금 has 351 (91.6%) missing valuesMissing
소형차요금 has 349 (91.1%) missing valuesMissing
중형차요금 has 349 (91.1%) missing valuesMissing
대형차요금 has 349 (91.1%) missing valuesMissing
승합차요금 has 350 (91.4%) missing valuesMissing
홈페이지주소 has 374 (97.7%) missing valuesMissing
대표자명 has 180 (47.0%) missing valuesMissing
자동차총보유대수 has 11 (2.9%) zerosZeros
승용차보유대수 has 11 (2.9%) zerosZeros
승합차보유대수 has 147 (38.4%) zerosZeros
전기승용자동차보유대수 has 358 (93.5%) zerosZeros

Reproduction

Analysis started2024-05-10 21:37:35.083387
Analysis finished2024-05-10 21:37:37.120937
Duration2.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

Distinct327
Distinct (%)85.4%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-10T21:37:37.430939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length7.156658
Min length2

Characters and Unicode

Total characters2741
Distinct characters228
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique289 ?
Unique (%)75.5%

Sample

1st row(유)프라임렌트카
2nd row(자)기풍렌트카 신하점
3rd row(자)기풍렌트카 이천영업소
4th row(자)주성렌트카
5th row(주)강경렌트카
ValueCountFrequency (%)
㈜뉴삼우렌트카 4
 
1.0%
롯데렌탈㈜ 4
 
1.0%
그린렌터카㈜ 4
 
1.0%
㈜선경엔씨에스렌트카 4
 
1.0%
㈜나인렌터카 4
 
1.0%
도도렌트카 4
 
1.0%
㈜브이아이피렌터카 3
 
0.7%
㈜케이카렌탈 3
 
0.7%
㈜원일렌트카 3
 
0.7%
㈜강산렌터카 3
 
0.7%
Other values (322) 365
91.0%
2024-05-10T21:37:38.357537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
카 323
 
11.8%
렌 316
 
11.5%
㈜ 269
 
9.8%
트 259
 
9.4%
이 111
 
4.0%
( 75
 
2.7%
) 75
 
2.7%
주 66
 
2.4%
터 62
 
2.3%
스 60
 
2.2%
Other values (218) 1125
41.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2286
83.4%
Other Symbol 269
 
9.8%
Open Punctuation 77
 
2.8%
Close Punctuation 77
 
2.8%
Space Separator 18
 
0.7%
Decimal Number 13
 
0.5%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 323
 
14.1%
렌 316
 
13.8%
트 259
 
11.3%
이 111
 
4.9%
주 66
 
2.9%
터 62
 
2.7%
스 60
 
2.6%
에 45
 
2.0%
일 27
 
1.2%
소 27
 
1.2%
Other values (205) 990
43.3%
Decimal Number
ValueCountFrequency (%)
1 5
38.5%
0 4
30.8%
6 1
 
7.7%
4 1
 
7.7%
3 1
 
7.7%
2 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 75
97.4%
[ 2
 
2.6%
Close Punctuation
ValueCountFrequency (%)
) 75
97.4%
] 2
 
2.6%
Other Symbol
ValueCountFrequency (%)
㈜ 269
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2555
93.2%
Common 186
 
6.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 323
 
12.6%
렌 316
 
12.4%
㈜ 269
 
10.5%
트 259
 
10.1%
이 111
 
4.3%
주 66
 
2.6%
터 62
 
2.4%
스 60
 
2.3%
에 45
 
1.8%
일 27
 
1.1%
Other values (206) 1017
39.8%
Common
ValueCountFrequency (%)
( 75
40.3%
) 75
40.3%
18
 
9.7%
1 5
 
2.7%
0 4
 
2.2%
] 2
 
1.1%
[ 2
 
1.1%
- 1
 
0.5%
6 1
 
0.5%
4 1
 
0.5%
Other values (2) 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2286
83.4%
None 269
 
9.8%
ASCII 186
 
6.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
카 323
 
14.1%
렌 316
 
13.8%
트 259
 
11.3%
이 111
 
4.9%
주 66
 
2.9%
터 62
 
2.7%
스 60
 
2.6%
에 45
 
2.0%
일 27
 
1.2%
소 27
 
1.2%
Other values (205) 990
43.3%
None
ValueCountFrequency (%)
㈜ 269
100.0%
ASCII
ValueCountFrequency (%)
( 75
40.3%
) 75
40.3%
18
 
9.7%
1 5
 
2.7%
0 4
 
2.2%
] 2
 
1.1%
[ 2
 
1.1%
- 1
 
0.5%
6 1
 
0.5%
4 1
 
0.5%
Other values (2) 2
 
1.1%

사업장구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
주사업장
226 
영업소
157 

Length

Max length4
Median length4
Mean length3.5900783
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주사업장 226
59.0%
영업소 157
41.0%

Length

2024-05-10T21:37:38.674144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:38.916380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주사업장 226
59.0%
영업소 157
41.0%

소재지도로명주소
Text

Distinct359
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-10T21:37:39.350689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length38
Mean length23.438642
Min length13

Characters and Unicode

Total characters8977
Distinct characters282
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

Unique343 ?
Unique (%)89.6%

Sample

1st row경기도 성남시 분당구 쇳골로17번길 6(금곡동)
2nd row경기도 이천시 부발읍 신아로 3
3rd row경기도 이천시 이섭대천로 1437
4th row경기도 수원시 권선구 권선로 544(세류동)
5th row경기도 의정부시 평화로 525(의정부동)
ValueCountFrequency (%)
경기도 382
 
19.6%
수원시 29
 
1.5%
고양시 29
 
1.5%
남양주시 28
 
1.4%
김포시 27
 
1.4%
안산시 26
 
1.3%
용인시 25
 
1.3%
성남시 24
 
1.2%
평택시 21
 
1.1%
의정부시 18
 
0.9%
Other values (802) 1341
68.8%
2024-05-10T21:37:40.366627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1567
 
17.5%
경 401
 
4.5%
기 401
 
4.5%
도 394
 
4.4%
시 378
 
4.2%
로 350
 
3.9%
1 347
 
3.9%
2 242
 
2.7%
3 181
 
2.0%
동 179
 
2.0%
Other values (272) 4537
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5298
59.0%
Decimal Number 1666
 
18.6%
Space Separator 1567
 
17.5%
Other Punctuation 119
 
1.3%
Close Punctuation 117
 
1.3%
Open Punctuation 117
 
1.3%
Dash Punctuation 84
 
0.9%
Uppercase Letter 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 401
 
7.6%
기 401
 
7.6%
도 394
 
7.4%
시 378
 
7.1%
로 350
 
6.6%
동 179
 
3.4%
구 170
 
3.2%
길 147
 
2.8%
양 135
 
2.5%
번 109
 
2.1%
Other values (251) 2634
49.7%
Decimal Number
ValueCountFrequency (%)
1 347
20.8%
2 242
14.5%
3 181
10.9%
4 163
9.8%
0 154
9.2%
5 147
8.8%
7 119
 
7.1%
6 118
 
7.1%
9 98
 
5.9%
8 97
 
5.8%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
A 2
22.2%
C 1
 
11.1%
G 1
 
11.1%
K 1
 
11.1%
S 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1567
100.0%
Other Punctuation
ValueCountFrequency (%)
, 119
100.0%
Close Punctuation
ValueCountFrequency (%)
) 117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5298
59.0%
Common 3670
40.9%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 401
 
7.6%
기 401
 
7.6%
도 394
 
7.4%
시 378
 
7.1%
로 350
 
6.6%
동 179
 
3.4%
구 170
 
3.2%
길 147
 
2.8%
양 135
 
2.5%
번 109
 
2.1%
Other values (251) 2634
49.7%
Common
ValueCountFrequency (%)
1567
42.7%
1 347
 
9.5%
2 242
 
6.6%
3 181
 
4.9%
4 163
 
4.4%
0 154
 
4.2%
5 147
 
4.0%
7 119
 
3.2%
, 119
 
3.2%
6 118
 
3.2%
Other values (5) 513
 
14.0%
Latin
ValueCountFrequency (%)
B 3
33.3%
A 2
22.2%
C 1
 
11.1%
G 1
 
11.1%
K 1
 
11.1%
S 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5298
59.0%
ASCII 3679
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1567
42.6%
1 347
 
9.4%
2 242
 
6.6%
3 181
 
4.9%
4 163
 
4.4%
0 154
 
4.2%
5 147
 
4.0%
7 119
 
3.2%
, 119
 
3.2%
6 118
 
3.2%
Other values (11) 522
 
14.2%
Hangul
ValueCountFrequency (%)
경 401
 
7.6%
기 401
 
7.6%
도 394
 
7.4%
시 378
 
7.1%
로 350
 
6.6%
동 179
 
3.4%
구 170
 
3.2%
길 147
 
2.8%
양 135
 
2.5%
번 109
 
2.1%
Other values (251) 2634
49.7%

소재지지번주소
Text

Distinct360
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-10T21:37:41.001580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length38
Mean length21.976501
Min length14

Characters and Unicode

Total characters8417
Distinct characters260
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

Unique344 ?
Unique (%)89.8%

Sample

1st row경기도 성남시 분당구 금곡동 57-3
2nd row경기도 이천시 부발읍 신하리 530
3rd row경기도 이천시 증포동 215-7
4th row경기도 수원시 권선구 세류동 324-6
5th row경기도 의정부시 의정부동 168-54
ValueCountFrequency (%)
경기도 382
 
20.0%
고양시 29
 
1.5%
수원시 29
 
1.5%
남양주시 28
 
1.5%
김포시 27
 
1.4%
안산시 26
 
1.4%
용인시 25
 
1.3%
성남시 24
 
1.3%
평택시 21
 
1.1%
상록구 18
 
0.9%
Other values (752) 1305
68.2%
2024-05-10T21:37:42.244908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1531
 
18.2%
기 400
 
4.8%
도 394
 
4.7%
경 383
 
4.6%
시 375
 
4.5%
동 343
 
4.1%
1 339
 
4.0%
- 281
 
3.3%
2 232
 
2.8%
3 188
 
2.2%
Other values (250) 3951
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4744
56.4%
Decimal Number 1762
 
20.9%
Space Separator 1531
 
18.2%
Dash Punctuation 281
 
3.3%
Other Punctuation 57
 
0.7%
Uppercase Letter 16
 
0.2%
Close Punctuation 13
 
0.2%
Open Punctuation 13
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 400
 
8.4%
도 394
 
8.3%
경 383
 
8.1%
시 375
 
7.9%
동 343
 
7.2%
구 167
 
3.5%
양 136
 
2.9%
리 104
 
2.2%
지 98
 
2.1%
번 82
 
1.7%
Other values (226) 2262
47.7%
Decimal Number
ValueCountFrequency (%)
1 339
19.2%
2 232
13.2%
3 188
10.7%
4 174
9.9%
5 172
9.8%
0 154
8.7%
6 150
8.5%
9 126
 
7.2%
7 114
 
6.5%
8 113
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
B 6
37.5%
A 2
 
12.5%
S 2
 
12.5%
K 2
 
12.5%
G 1
 
6.2%
U 1
 
6.2%
H 1
 
6.2%
L 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 56
98.2%
. 1
 
1.8%
Space Separator
ValueCountFrequency (%)
1531
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 281
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4744
56.4%
Common 3657
43.4%
Latin 16
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 400
 
8.4%
도 394
 
8.3%
경 383
 
8.1%
시 375
 
7.9%
동 343
 
7.2%
구 167
 
3.5%
양 136
 
2.9%
리 104
 
2.2%
지 98
 
2.1%
번 82
 
1.7%
Other values (226) 2262
47.7%
Common
ValueCountFrequency (%)
1531
41.9%
1 339
 
9.3%
- 281
 
7.7%
2 232
 
6.3%
3 188
 
5.1%
4 174
 
4.8%
5 172
 
4.7%
0 154
 
4.2%
6 150
 
4.1%
9 126
 
3.4%
Other values (6) 310
 
8.5%
Latin
ValueCountFrequency (%)
B 6
37.5%
A 2
 
12.5%
S 2
 
12.5%
K 2
 
12.5%
G 1
 
6.2%
U 1
 
6.2%
H 1
 
6.2%
L 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4744
56.4%
ASCII 3673
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1531
41.7%
1 339
 
9.2%
- 281
 
7.7%
2 232
 
6.3%
3 188
 
5.1%
4 174
 
4.7%
5 172
 
4.7%
0 154
 
4.2%
6 150
 
4.1%
9 126
 
3.4%
Other values (14) 326
 
8.9%
Hangul
ValueCountFrequency (%)
기 400
 
8.4%
도 394
 
8.3%
경 383
 
8.1%
시 375
 
7.9%
동 343
 
7.2%
구 167
 
3.5%
양 136
 
2.9%
리 104
 
2.2%
지 98
 
2.1%
번 82
 
1.7%
Other values (226) 2262
47.7%

위도
Real number (ℝ)

Distinct352
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.460469
Minimum36.959626
Maximum38.12356
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:42.818401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.959626
5-th percentile37.035658
Q137.279627
median37.421998
Q337.655974
95-th percentile37.815005
Maximum38.12356
Range1.163934
Interquartile range (IQR)0.37634717

Descriptive statistics

Standard deviation0.23423525
Coefficient of variation (CV)0.0062528647
Kurtosis-0.66222509
Mean37.460469
Median Absolute Deviation (MAD)0.18526624
Skewness0.051809032
Sum14347.36
Variance0.05486615
MonotonicityNot monotonic
2024-05-10T21:37:43.313282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.81422772 4
 
1.0%
37.67564807 3
 
0.8%
37.65597375 3
 
0.8%
37.65490653 3
 
0.8%
37.1420058 3
 
0.8%
37.26946876 3
 
0.8%
37.2706477 2
 
0.5%
37.75061206 2
 
0.5%
37.33669193 2
 
0.5%
37.67614509 2
 
0.5%
Other values (342) 356
93.0%
ValueCountFrequency (%)
36.95962599 1
0.3%
36.981062 1
0.3%
36.98572 1
0.3%
36.989427 1
0.3%
36.992708 1
0.3%
36.992853 1
0.3%
36.993519 1
0.3%
36.997877 1
0.3%
36.99911909 1
0.3%
37.004097 1
0.3%
ValueCountFrequency (%)
38.1235600036 1
0.3%
38.02222318 1
0.3%
38.0148517 1
0.3%
38.01348485 1
0.3%
37.9973667 1
0.3%
37.90433171 1
0.3%
37.9029829512 1
0.3%
37.9021962884 1
0.3%
37.89940886 1
0.3%
37.881526239 1
0.3%

경도
Real number (ℝ)

Distinct351
Distinct (%)91.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.02758
Minimum126.59876
Maximum127.71251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:43.830860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59876
5-th percentile126.71053
Q1126.84505
median127.05448
Q3127.14178
95-th percentile127.48091
Maximum127.71251
Range1.1137507
Interquartile range (IQR)0.29673695

Descriptive statistics

Standard deviation0.22062448
Coefficient of variation (CV)0.0017368234
Kurtosis-0.10705157
Mean127.02758
Median Absolute Deviation (MAD)0.1470671
Skewness0.37738772
Sum48651.563
Variance0.04867516
MonotonicityNot monotonic
2024-05-10T21:37:44.927610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9894504 4
 
1.0%
127.0932438 3
 
0.8%
126.9934628 3
 
0.8%
127.0696301 3
 
0.8%
126.7732253 3
 
0.8%
126.7715403 3
 
0.8%
126.7466685 3
 
0.8%
127.2347945 2
 
0.5%
127.108309 2
 
0.5%
127.1782465874 2
 
0.5%
Other values (341) 355
92.7%
ValueCountFrequency (%)
126.5987613 1
0.3%
126.6202607 1
0.3%
126.6209809 1
0.3%
126.6250862 1
0.3%
126.6278049 1
0.3%
126.6302207 1
0.3%
126.6327323 1
0.3%
126.6346907 2
0.5%
126.6376938 1
0.3%
126.6377542 1
0.3%
ValueCountFrequency (%)
127.712512 1
0.3%
127.631945 1
0.3%
127.609261 1
0.3%
127.528009 1
0.3%
127.515096 1
0.3%
127.514414 1
0.3%
127.5088427 1
0.3%
127.506271 1
0.3%
127.5037871 1
0.3%
127.5016277 2
0.5%

차고지도로명주소
Text

MISSING 

Distinct291
Distinct (%)88.4%
Missing54
Missing (%)14.1%
Memory size3.1 KiB
2024-05-10T21:37:45.633060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length39
Mean length23.574468
Min length14

Characters and Unicode

Total characters7756
Distinct characters275
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

Unique265 ?
Unique (%)80.5%

Sample

1st row경기도 성남시 분당구 궁내동 362-5+364-1+364-3+경기도 성남시 분당구 쇳골로17번길 6
2nd row경기도 이천시 신아로 3
3rd row경기도 이천시 황무로 2065번길 72-211
4th row경기도 수원시 팔달구 중부대로 50(인계동)
5th row경기도 의정부시 신흥로258번길 8(의정부동)
ValueCountFrequency (%)
경기도 320
 
19.4%
수원시 31
 
1.9%
김포시 27
 
1.6%
용인시 21
 
1.3%
의정부시 21
 
1.3%
성남시 20
 
1.2%
양주시 18
 
1.1%
이천시 17
 
1.0%
화성시 17
 
1.0%
분당구 17
 
1.0%
Other values (660) 1139
69.1%
2024-05-10T21:37:46.787695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1321
 
17.0%
도 340
 
4.4%
기 340
 
4.4%
경 336
 
4.3%
시 327
 
4.2%
로 306
 
3.9%
1 260
 
3.4%
2 192
 
2.5%
4 150
 
1.9%
동 149
 
1.9%
Other values (265) 4035
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4659
60.1%
Decimal Number 1360
 
17.5%
Space Separator 1321
 
17.0%
Open Punctuation 105
 
1.4%
Close Punctuation 105
 
1.4%
Dash Punctuation 96
 
1.2%
Other Punctuation 85
 
1.1%
Uppercase Letter 12
 
0.2%
Math Symbol 11
 
0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 340
 
7.3%
기 340
 
7.3%
경 336
 
7.2%
시 327
 
7.0%
로 306
 
6.6%
동 149
 
3.2%
구 141
 
3.0%
길 138
 
3.0%
번 107
 
2.3%
양 98
 
2.1%
Other values (239) 2377
51.0%
Decimal Number
ValueCountFrequency (%)
1 260
19.1%
2 192
14.1%
4 150
11.0%
3 137
10.1%
5 126
9.3%
7 109
8.0%
0 102
 
7.5%
6 95
 
7.0%
9 95
 
7.0%
8 94
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
C 2
16.7%
D 2
16.7%
L 2
16.7%
B 1
 
8.3%
S 1
 
8.3%
G 1
 
8.3%
Math Symbol
ValueCountFrequency (%)
~ 5
45.5%
+ 5
45.5%
∼ 1
 
9.1%
Space Separator
ValueCountFrequency (%)
1321
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%
Other Punctuation
ValueCountFrequency (%)
, 85
100.0%
Lowercase Letter
ValueCountFrequency (%)
b 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4659
60.1%
Common 3083
39.7%
Latin 14
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 340
 
7.3%
기 340
 
7.3%
경 336
 
7.2%
시 327
 
7.0%
로 306
 
6.6%
동 149
 
3.2%
구 141
 
3.0%
길 138
 
3.0%
번 107
 
2.3%
양 98
 
2.1%
Other values (239) 2377
51.0%
Common
ValueCountFrequency (%)
1321
42.8%
1 260
 
8.4%
2 192
 
6.2%
4 150
 
4.9%
3 137
 
4.4%
5 126
 
4.1%
7 109
 
3.5%
( 105
 
3.4%
) 105
 
3.4%
0 102
 
3.3%
Other values (8) 476
 
15.4%
Latin
ValueCountFrequency (%)
A 3
21.4%
C 2
14.3%
D 2
14.3%
b 2
14.3%
L 2
14.3%
B 1
 
7.1%
S 1
 
7.1%
G 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4659
60.1%
ASCII 3096
39.9%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1321
42.7%
1 260
 
8.4%
2 192
 
6.2%
4 150
 
4.8%
3 137
 
4.4%
5 126
 
4.1%
7 109
 
3.5%
( 105
 
3.4%
) 105
 
3.4%
0 102
 
3.3%
Other values (15) 489
 
15.8%
Hangul
ValueCountFrequency (%)
도 340
 
7.3%
기 340
 
7.3%
경 336
 
7.2%
시 327
 
7.0%
로 306
 
6.6%
동 149
 
3.2%
구 141
 
3.0%
길 138
 
3.0%
번 107
 
2.3%
양 98
 
2.1%
Other values (239) 2377
51.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

차고지지번주소
Text

MISSING 

Distinct239
Distinct (%)85.1%
Missing102
Missing (%)26.6%
Memory size3.1 KiB
2024-05-10T21:37:47.435022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length35
Mean length21.711744
Min length15

Characters and Unicode

Total characters6101
Distinct characters244
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

Unique212 ?
Unique (%)75.4%

Sample

1st row경기도 성남시 분당구 궁내동 362-5+364-1+364-3+경기도 성남시 분당구 금곡동 57-1
2nd row경기도 이천시 부발읍 신하리 532-5
3rd row경기도 이천시 부발읍 가산리 182-5
4th row경기도 수원시 팔달구 인계동 750-82
5th row경기도 의정부시 의정부동 441-4
ValueCountFrequency (%)
경기도 275
 
19.4%
수원시 30
 
2.1%
김포시 30
 
2.1%
의정부시 22
 
1.5%
남양주시 20
 
1.4%
용인시 19
 
1.3%
성남시 18
 
1.3%
이천시 17
 
1.2%
분당구 16
 
1.1%
화성시 16
 
1.1%
Other values (563) 958
67.4%
2024-05-10T21:37:48.544668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1141
 
18.7%
도 289
 
4.7%
기 287
 
4.7%
경 277
 
4.5%
시 271
 
4.4%
1 251
 
4.1%
동 216
 
3.5%
- 194
 
3.2%
3 151
 
2.5%
2 146
 
2.4%
Other values (234) 2878
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3449
56.5%
Decimal Number 1203
 
19.7%
Space Separator 1141
 
18.7%
Dash Punctuation 194
 
3.2%
Uppercase Letter 46
 
0.8%
Other Punctuation 41
 
0.7%
Math Symbol 9
 
0.1%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Lowercase Letter 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 289
 
8.4%
기 287
 
8.3%
경 277
 
8.0%
시 271
 
7.9%
동 216
 
6.3%
구 113
 
3.3%
리 104
 
3.0%
양 80
 
2.3%
원 70
 
2.0%
안 54
 
1.6%
Other values (197) 1688
48.9%
Uppercase Letter
ValueCountFrequency (%)
L 8
17.4%
A 6
13.0%
D 6
13.0%
C 5
10.9%
K 4
8.7%
S 3
 
6.5%
B 3
 
6.5%
E 3
 
6.5%
U 2
 
4.3%
M 2
 
4.3%
Other values (4) 4
8.7%
Decimal Number
ValueCountFrequency (%)
1 251
20.9%
3 151
12.6%
2 146
12.1%
6 114
9.5%
5 113
9.4%
4 97
 
8.1%
8 89
 
7.4%
7 88
 
7.3%
0 88
 
7.3%
9 66
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
s 1
16.7%
r 1
16.7%
t 1
16.7%
m 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 40
97.6%
. 1
 
2.4%
Math Symbol
ValueCountFrequency (%)
+ 5
55.6%
~ 4
44.4%
Space Separator
ValueCountFrequency (%)
1141
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3449
56.5%
Common 2600
42.6%
Latin 52
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 289
 
8.4%
기 287
 
8.3%
경 277
 
8.0%
시 271
 
7.9%
동 216
 
6.3%
구 113
 
3.3%
리 104
 
3.0%
양 80
 
2.3%
원 70
 
2.0%
안 54
 
1.6%
Other values (197) 1688
48.9%
Latin
ValueCountFrequency (%)
L 8
15.4%
A 6
11.5%
D 6
11.5%
C 5
9.6%
K 4
 
7.7%
S 3
 
5.8%
B 3
 
5.8%
E 3
 
5.8%
U 2
 
3.8%
M 2
 
3.8%
Other values (9) 10
19.2%
Common
ValueCountFrequency (%)
1141
43.9%
1 251
 
9.7%
- 194
 
7.5%
3 151
 
5.8%
2 146
 
5.6%
6 114
 
4.4%
5 113
 
4.3%
4 97
 
3.7%
8 89
 
3.4%
7 88
 
3.4%
Other values (8) 216
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3449
56.5%
ASCII 2652
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1141
43.0%
1 251
 
9.5%
- 194
 
7.3%
3 151
 
5.7%
2 146
 
5.5%
6 114
 
4.3%
5 113
 
4.3%
4 97
 
3.7%
8 89
 
3.4%
7 88
 
3.3%
Other values (27) 268
 
10.1%
Hangul
ValueCountFrequency (%)
도 289
 
8.4%
기 287
 
8.3%
경 277
 
8.0%
시 271
 
7.9%
동 216
 
6.3%
구 113
 
3.3%
리 104
 
3.0%
양 80
 
2.3%
원 70
 
2.0%
안 54
 
1.6%
Other values (197) 1688
48.9%

보유차고지수용능력
Real number (ℝ)

MISSING 

Distinct109
Distinct (%)75.7%
Missing239
Missing (%)62.4%
Infinite0
Infinite (%)0.0%
Mean613.92361
Minimum0
Maximum5630
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:48.891416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.15
Q166.5
median200
Q3750.25
95-th percentile2293.2
Maximum5630
Range5630
Interquartile range (IQR)683.75

Descriptive statistics

Standard deviation987.57273
Coefficient of variation (CV)1.6086248
Kurtosis9.8249346
Mean613.92361
Median Absolute Deviation (MAD)164
Skewness2.9168626
Sum88405
Variance975299.9
MonotonicityNot monotonic
2024-05-10T21:37:49.251024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 5
 
1.3%
100 5
 
1.3%
65 5
 
1.3%
260 4
 
1.0%
60 3
 
0.8%
200 3
 
0.8%
3 2
 
0.5%
35 2
 
0.5%
50 2
 
0.5%
865 2
 
0.5%
Other values (99) 111
29.0%
(Missing) 239
62.4%
ValueCountFrequency (%)
0 1
0.3%
3 2
0.5%
5 1
0.3%
6 1
0.3%
8 1
0.3%
10 1
0.3%
11 1
0.3%
12 1
0.3%
13 1
0.3%
14 1
0.3%
ValueCountFrequency (%)
5630 1
0.3%
5323 1
0.3%
4591 1
0.3%
4130 1
0.3%
3502 1
0.3%
2760 1
0.3%
2580 1
0.3%
2325 1
0.3%
2113 1
0.3%
2104 1
0.3%

자동차총보유대수
Real number (ℝ)

ZEROS 

Distinct164
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.399478
Minimum0
Maximum1224
Zeros11
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:49.695263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median55
Q3101.5
95-th percentile310.6
Maximum1224
Range1224
Interquartile range (IQR)90.5

Descriptive statistics

Standard deviation118.46262
Coefficient of variation (CV)1.3871586
Kurtosis26.048391
Mean85.399478
Median Absolute Deviation (MAD)44
Skewness3.997206
Sum32708
Variance14033.392
MonotonicityNot monotonic
2024-05-10T21:37:50.164423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 14
 
3.7%
1 11
 
2.9%
50 11
 
2.9%
0 11
 
2.9%
7 10
 
2.6%
3 9
 
2.3%
8 8
 
2.1%
11 8
 
2.1%
53 7
 
1.8%
5 7
 
1.8%
Other values (154) 287
74.9%
ValueCountFrequency (%)
0 11
2.9%
1 11
2.9%
2 5
1.3%
3 9
2.3%
4 6
1.6%
5 7
1.8%
6 6
1.6%
7 10
2.6%
8 8
2.1%
9 2
 
0.5%
ValueCountFrequency (%)
1224 1
 
0.3%
656 1
 
0.3%
639 1
 
0.3%
565 1
 
0.3%
531 1
 
0.3%
527 1
 
0.3%
496 1
 
0.3%
426 1
 
0.3%
409 3
0.8%
395 1
 
0.3%

승용차보유대수
Real number (ℝ)

ZEROS 

Distinct154
Distinct (%)40.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean80.318538
Minimum0
Maximum1190
Zeros11
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:50.557806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median52
Q396
95-th percentile302.2
Maximum1190
Range1190
Interquartile range (IQR)86

Descriptive statistics

Standard deviation112.57848
Coefficient of variation (CV)1.40165
Kurtosis28.235028
Mean80.318538
Median Absolute Deviation (MAD)42
Skewness4.1307948
Sum30762
Variance12673.914
MonotonicityNot monotonic
2024-05-10T21:37:51.066041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 14
 
3.7%
10 14
 
3.7%
0 11
 
2.9%
3 11
 
2.9%
8 9
 
2.3%
6 8
 
2.1%
52 7
 
1.8%
9 7
 
1.8%
13 7
 
1.8%
62 7
 
1.8%
Other values (144) 288
75.2%
ValueCountFrequency (%)
0 11
2.9%
1 14
3.7%
2 6
1.6%
3 11
2.9%
4 5
 
1.3%
5 6
1.6%
6 8
2.1%
7 7
1.8%
8 9
2.3%
9 7
1.8%
ValueCountFrequency (%)
1190 1
 
0.3%
650 1
 
0.3%
564 1
 
0.3%
521 1
 
0.3%
510 1
 
0.3%
494 1
 
0.3%
419 1
 
0.3%
417 1
 
0.3%
398 3
0.8%
385 1
 
0.3%

승합차보유대수
Real number (ℝ)

ZEROS 

Distinct31
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.8955614
Minimum0
Maximum71
Zeros147
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:51.464602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile17.9
Maximum71
Range71
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.8713182
Coefficient of variation (CV)2.0205864
Kurtosis21.64338
Mean3.8955614
Median Absolute Deviation (MAD)1
Skewness4.121082
Sum1492
Variance61.95765
MonotonicityNot monotonic
2024-05-10T21:37:51.839165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 147
38.4%
1 56
 
14.6%
2 45
 
11.7%
6 25
 
6.5%
4 23
 
6.0%
3 22
 
5.7%
5 14
 
3.7%
11 6
 
1.6%
7 6
 
1.6%
10 4
 
1.0%
Other values (21) 35
 
9.1%
ValueCountFrequency (%)
0 147
38.4%
1 56
 
14.6%
2 45
 
11.7%
3 22
 
5.7%
4 23
 
6.0%
5 14
 
3.7%
6 25
 
6.5%
7 6
 
1.6%
8 4
 
1.0%
9 3
 
0.8%
ValueCountFrequency (%)
71 1
 
0.3%
47 1
 
0.3%
42 1
 
0.3%
40 1
 
0.3%
37 2
0.5%
36 1
 
0.3%
34 2
0.5%
31 3
0.8%
29 1
 
0.3%
28 1
 
0.3%

전기승용자동차보유대수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2663185
Minimum0
Maximum216
Zeros358
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:52.141977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum216
Range216
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.500768
Coefficient of variation (CV)9.8717406
Kurtosis241.69499
Mean1.2663185
Median Absolute Deviation (MAD)0
Skewness14.935586
Sum485
Variance156.2692
MonotonicityNot monotonic
2024-05-10T21:37:52.349937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 358
93.5%
1 7
 
1.8%
2 5
 
1.3%
9 3
 
0.8%
11 2
 
0.5%
24 2
 
0.5%
22 1
 
0.3%
5 1
 
0.3%
10 1
 
0.3%
12 1
 
0.3%
Other values (2) 2
 
0.5%
ValueCountFrequency (%)
0 358
93.5%
1 7
 
1.8%
2 5
 
1.3%
5 1
 
0.3%
9 3
 
0.8%
10 1
 
0.3%
11 2
 
0.5%
12 1
 
0.3%
22 1
 
0.3%
24 2
 
0.5%
ValueCountFrequency (%)
216 1
 
0.3%
106 1
 
0.3%
24 2
 
0.5%
22 1
 
0.3%
12 1
 
0.3%
11 2
 
0.5%
10 1
 
0.3%
9 3
0.8%
5 1
 
0.3%
2 5
1.3%

전기승합자동차보유대수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
0
383 

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 (%)
0 383
100.0%

Length

2024-05-10T21:37:52.608959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:52.933638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 383
100.0%

경차요금
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)21.9%
Missing351
Missing (%)91.6%
Infinite0
Infinite (%)0.0%
Mean49742.188
Minimum0
Maximum95000
Zeros1
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:53.212080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile37750
Q150000
median50000
Q350000
95-th percentile60787.5
Maximum95000
Range95000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13302.844
Coefficient of variation (CV)0.26743585
Kurtosis9.7462597
Mean49742.188
Median Absolute Deviation (MAD)0
Skewness-0.45871657
Sum1591750
Variance1.7696566 × 108
MonotonicityNot monotonic
2024-05-10T21:37:53.541648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
50000 22
 
5.7%
40000 3
 
0.8%
60000 3
 
0.8%
61750 1
 
0.3%
95000 1
 
0.3%
35000 1
 
0.3%
0 1
 
0.3%
(Missing) 351
91.6%
ValueCountFrequency (%)
0 1
 
0.3%
35000 1
 
0.3%
40000 3
 
0.8%
50000 22
5.7%
60000 3
 
0.8%
61750 1
 
0.3%
95000 1
 
0.3%
ValueCountFrequency (%)
95000 1
 
0.3%
61750 1
 
0.3%
60000 3
 
0.8%
50000 22
5.7%
40000 3
 
0.8%
35000 1
 
0.3%
0 1
 
0.3%

소형차요금
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)17.6%
Missing349
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean62102.941
Minimum50000
Maximum125000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:53.852999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000
5-th percentile50000
Q160000
median60000
Q360000
95-th percentile70525
Maximum125000
Range75000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12711.114
Coefficient of variation (CV)0.20467813
Kurtosis18.717061
Mean62102.941
Median Absolute Deviation (MAD)0
Skewness3.7831329
Sum2111500
Variance1.6157242 × 108
MonotonicityNot monotonic
2024-05-10T21:37:54.202972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
60000 20
 
5.2%
50000 6
 
1.6%
70000 5
 
1.3%
71500 1
 
0.3%
65000 1
 
0.3%
125000 1
 
0.3%
(Missing) 349
91.1%
ValueCountFrequency (%)
50000 6
 
1.6%
60000 20
5.2%
65000 1
 
0.3%
70000 5
 
1.3%
71500 1
 
0.3%
125000 1
 
0.3%
ValueCountFrequency (%)
125000 1
 
0.3%
71500 1
 
0.3%
70000 5
 
1.3%
65000 1
 
0.3%
60000 20
5.2%
50000 6
 
1.6%

중형차요금
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)23.5%
Missing349
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean76727.941
Minimum60000
Maximum160000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:54.559068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60000
5-th percentile66500
Q170000
median70000
Q380000
95-th percentile104812.5
Maximum160000
Range100000
Interquartile range (IQR)10000

Descriptive statistics

Standard deviation18006.771
Coefficient of variation (CV)0.23468336
Kurtosis14.165429
Mean76727.941
Median Absolute Deviation (MAD)0
Skewness3.4619748
Sum2608750
Variance3.2424382 × 108
MonotonicityNot monotonic
2024-05-10T21:37:54.930056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
70000 22
 
5.7%
80000 5
 
1.3%
60000 2
 
0.5%
113750 1
 
0.3%
85000 1
 
0.3%
160000 1
 
0.3%
100000 1
 
0.3%
90000 1
 
0.3%
(Missing) 349
91.1%
ValueCountFrequency (%)
60000 2
 
0.5%
70000 22
5.7%
80000 5
 
1.3%
85000 1
 
0.3%
90000 1
 
0.3%
100000 1
 
0.3%
113750 1
 
0.3%
160000 1
 
0.3%
ValueCountFrequency (%)
160000 1
 
0.3%
113750 1
 
0.3%
100000 1
 
0.3%
90000 1
 
0.3%
85000 1
 
0.3%
80000 5
 
1.3%
70000 22
5.7%
60000 2
 
0.5%

대형차요금
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)23.5%
Missing349
Missing (%)91.1%
Infinite0
Infinite (%)0.0%
Mean132985.29
Minimum90000
Maximum450000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:55.256661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90000
5-th percentile90000
Q1100000
median120000
Q3120000
95-th percentile239475
Maximum450000
Range360000
Interquartile range (IQR)20000

Descriptive statistics

Standard deviation69174.624
Coefficient of variation (CV)0.52016747
Kurtosis14.397471
Mean132985.29
Median Absolute Deviation (MAD)0
Skewness3.6461689
Sum4521500
Variance4.7851286 × 109
MonotonicityNot monotonic
2024-05-10T21:37:55.620161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
120000 19
 
5.0%
100000 7
 
1.8%
90000 3
 
0.8%
450000 1
 
0.3%
201500 1
 
0.3%
310000 1
 
0.3%
200000 1
 
0.3%
110000 1
 
0.3%
(Missing) 349
91.1%
ValueCountFrequency (%)
90000 3
 
0.8%
100000 7
 
1.8%
110000 1
 
0.3%
120000 19
5.0%
200000 1
 
0.3%
201500 1
 
0.3%
310000 1
 
0.3%
450000 1
 
0.3%
ValueCountFrequency (%)
450000 1
 
0.3%
310000 1
 
0.3%
201500 1
 
0.3%
200000 1
 
0.3%
120000 19
5.0%
110000 1
 
0.3%
100000 7
 
1.8%
90000 3
 
0.8%

승합차요금
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)21.2%
Missing350
Missing (%)91.4%
Infinite0
Infinite (%)0.0%
Mean123727.27
Minimum100000
Maximum240000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.5 KiB
2024-05-10T21:37:55.959554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100000
5-th percentile100000
Q1120000
median120000
Q3120000
95-th percentile150000
Maximum240000
Range140000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation24793.236
Coefficient of variation (CV)0.20038618
Kurtosis15.258936
Mean123727.27
Median Absolute Deviation (MAD)0
Skewness3.4018177
Sum4083000
Variance6.1470455 × 108
MonotonicityNot monotonic
2024-05-10T21:37:56.278216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
120000 18
 
4.7%
100000 5
 
1.3%
150000 3
 
0.8%
110000 3
 
0.8%
130000 2
 
0.5%
143000 1
 
0.3%
240000 1
 
0.3%
(Missing) 350
91.4%
ValueCountFrequency (%)
100000 5
 
1.3%
110000 3
 
0.8%
120000 18
4.7%
130000 2
 
0.5%
143000 1
 
0.3%
150000 3
 
0.8%
240000 1
 
0.3%
ValueCountFrequency (%)
240000 1
 
0.3%
150000 3
 
0.8%
143000 1
 
0.3%
130000 2
 
0.5%
120000 18
4.7%
110000 3
 
0.8%
100000 5
 
1.3%

레저용차요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
372 
0
 
9
130000
 
1
150000
 
1

Length

Max length6
Median length4
Mean length3.9399478
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 372
97.1%
0 9
 
2.3%
130000 1
 
0.3%
150000 1
 
0.3%

Length

2024-05-10T21:37:56.761579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:57.104923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 372
97.1%
0 9
 
2.3%
130000 1
 
0.3%
150000 1
 
0.3%

수입차요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
370 
0
 
7
250000
 
5
300000
 
1

Length

Max length6
Median length4
Mean length3.9765013
Min length1

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 370
96.6%
0 7
 
1.8%
250000 5
 
1.3%
300000 1
 
0.3%

Length

2024-05-10T21:37:57.494496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:57.824060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 370
96.6%
0 7
 
1.8%
250000 5
 
1.3%
300000 1
 
0.3%

평일운영시작시각
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
09:00
284 
10:00
33 
00:00
32 
08:00
 
15
08:30
 
14
Other values (2)
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row08:30
2nd row08:00
3rd row08:00
4th row09:00
5th row09:00

Common Values

ValueCountFrequency (%)
09:00 284
74.2%
10:00 33
 
8.6%
00:00 32
 
8.4%
08:00 15
 
3.9%
08:30 14
 
3.7%
07:00 3
 
0.8%
09:30 2
 
0.5%

Length

2024-05-10T21:37:58.204874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:58.517394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
09:00 284
74.2%
10:00 33
 
8.6%
00:00 32
 
8.4%
08:00 15
 
3.9%
08:30 14
 
3.7%
07:00 3
 
0.8%
09:30 2
 
0.5%

평일운영종료시각
Categorical

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
18:00
203 
19:00
69 
23:59
47 
20:00
25 
21:00
 
15
Other values (7)
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique4 ?
Unique (%)1.0%

Sample

1st row19:00
2nd row20:00
3rd row20:00
4th row18:00
5th row18:00

Common Values

ValueCountFrequency (%)
18:00 203
53.0%
19:00 69
 
18.0%
23:59 47
 
12.3%
20:00 25
 
6.5%
21:00 15
 
3.9%
22:00 8
 
2.1%
23:39 8
 
2.1%
18:30 4
 
1.0%
17:00 1
 
0.3%
19:30 1
 
0.3%
Other values (2) 2
 
0.5%

Length

2024-05-10T21:37:58.905312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 203
53.0%
19:00 69
 
18.0%
23:59 47
 
12.3%
20:00 25
 
6.5%
21:00 15
 
3.9%
22:00 8
 
2.1%
23:39 8
 
2.1%
18:30 4
 
1.0%
17:00 1
 
0.3%
19:30 1
 
0.3%
Other values (2) 2
 
0.5%

주말운영시작시각
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
312 
09:00
 
27
00:00
 
21
08:00
 
10
10:00
 
7
Other values (2)
 
6

Length

Max length5
Median length4
Mean length4.1853786
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row08:00
3rd row08:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 312
81.5%
09:00 27
 
7.0%
00:00 21
 
5.5%
08:00 10
 
2.6%
10:00 7
 
1.8%
08:30 4
 
1.0%
09:30 2
 
0.5%

Length

2024-05-10T21:37:59.301424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:37:59.690107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 312
81.5%
09:00 27
 
7.0%
00:00 21
 
5.5%
08:00 10
 
2.6%
10:00 7
 
1.8%
08:30 4
 
1.0%
09:30 2
 
0.5%

주말운영종료시각
Categorical

IMBALANCE 

Distinct12
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
312 
18:00
 
21
21:00
 
12
20:00
 
10
23:39
 
8
Other values (7)
 
20

Length

Max length5
Median length4
Mean length4.1853786
Min length4

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row20:00
3rd row20:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 312
81.5%
18:00 21
 
5.5%
21:00 12
 
3.1%
20:00 10
 
2.6%
23:39 8
 
2.1%
19:00 5
 
1.3%
23:59 4
 
1.0%
00:00 4
 
1.0%
17:00 3
 
0.8%
22:00 2
 
0.5%
Other values (2) 2
 
0.5%

Length

2024-05-10T21:38:00.071846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 312
81.5%
18:00 21
 
5.5%
21:00 12
 
3.1%
20:00 10
 
2.6%
23:39 8
 
2.1%
19:00 5
 
1.3%
23:59 4
 
1.0%
00:00 4
 
1.0%
17:00 3
 
0.8%
22:00 2
 
0.5%
Other values (2) 2
 
0.5%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct7
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
312 
00:00
 
27
09:00
 
22
08:00
 
9
10:00
 
7
Other values (2)
 
6

Length

Max length5
Median length4
Mean length4.1853786
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row08:00
3rd row08:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 312
81.5%
00:00 27
 
7.0%
09:00 22
 
5.7%
08:00 9
 
2.3%
10:00 7
 
1.8%
08:30 4
 
1.0%
09:30 2
 
0.5%

Length

2024-05-10T21:38:00.465843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:38:00.794797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 312
81.5%
00:00 27
 
7.0%
09:00 22
 
5.7%
08:00 9
 
2.3%
10:00 7
 
1.8%
08:30 4
 
1.0%
09:30 2
 
0.5%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct11
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
312 
18:00
 
17
21:00
 
12
20:00
 
10
00:00
 
10
Other values (6)
 
22

Length

Max length5
Median length4
Mean length4.1853786
Min length4

Unique

Unique1 ?
Unique (%)0.3%

Sample

1st row<NA>
2nd row20:00
3rd row20:00
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 312
81.5%
18:00 17
 
4.4%
21:00 12
 
3.1%
20:00 10
 
2.6%
00:00 10
 
2.6%
23:39 8
 
2.1%
19:00 5
 
1.3%
23:59 4
 
1.0%
22:00 2
 
0.5%
17:00 2
 
0.5%

Length

2024-05-10T21:38:01.222888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 312
81.5%
18:00 17
 
4.4%
21:00 12
 
3.1%
20:00 10
 
2.6%
00:00 10
 
2.6%
23:39 8
 
2.1%
19:00 5
 
1.3%
23:59 4
 
1.0%
22:00 2
 
0.5%
17:00 2
 
0.5%

휴무일
Categorical

IMBALANCE 

Distinct8
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
<NA>
347 
연중무휴
 
23
설 당일+추석 당일
 
4
설 연휴+추석 연휴
 
3
토+일+공휴일
 
2
Other values (3)
 
4

Length

Max length10
Median length4
Mean length4.1096606
Min length1

Unique

Unique2 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 347
90.6%
연중무휴 23
 
6.0%
설 당일+추석 당일 4
 
1.0%
설 연휴+추석 연휴 3
 
0.8%
토+일+공휴일 2
 
0.5%
공휴일 2
 
0.5%
일 1
 
0.3%
토+일 1
 
0.3%

Length

2024-05-10T21:38:01.522717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:38:01.855268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 347
87.4%
연중무휴 23
 
5.8%
설 7
 
1.8%
당일+추석 4
 
1.0%
당일 4
 
1.0%
연휴+추석 3
 
0.8%
연휴 3
 
0.8%
토+일+공휴일 2
 
0.5%
공휴일 2
 
0.5%
일 1
 
0.3%

홈페이지주소
Text

MISSING 

Distinct9
Distinct (%)100.0%
Missing374
Missing (%)97.7%
Memory size3.1 KiB
2024-05-10T21:38:02.270728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length25.222222
Min length21

Characters and Unicode

Total characters227
Distinct characters27
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)100.0%

Sample

1st rowhttp://www.icrent.kr/
2nd rowhttp://kipung.wdw.kr/
3rd rowhttps://kookminrent.modoo.at
4th rowhttp://www.nanarentacar.modoo.at
5th rowhttp://www.rent79.com
ValueCountFrequency (%)
http://www.icrent.kr 1
11.1%
http://kipung.wdw.kr 1
11.1%
https://kookminrent.modoo.at 1
11.1%
http://www.nanarentacar.modoo.at 1
11.1%
http://www.rent79.com 1
11.1%
https://yuilrentcar.modoo.at 1
11.1%
http://hanbitrentcar.com 1
11.1%
http://www.sevenrentcar.com 1
11.1%
http://www.1rent.co.kr 1
11.1%
2024-05-10T21:38:03.059457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 30
13.2%
/ 23
 
10.1%
. 19
 
8.4%
w 17
 
7.5%
r 15
 
6.6%
o 15
 
6.6%
n 14
 
6.2%
a 11
 
4.8%
e 10
 
4.4%
p 10
 
4.4%
Other values (17) 63
27.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 173
76.2%
Other Punctuation 51
 
22.5%
Decimal Number 3
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 30
17.3%
w 17
9.8%
r 15
8.7%
o 15
8.7%
n 14
8.1%
a 11
 
6.4%
e 10
 
5.8%
p 10
 
5.8%
h 10
 
5.8%
c 9
 
5.2%
Other values (11) 32
18.5%
Other Punctuation
ValueCountFrequency (%)
/ 23
45.1%
. 19
37.3%
: 9
 
17.6%
Decimal Number
ValueCountFrequency (%)
7 1
33.3%
9 1
33.3%
1 1
33.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 173
76.2%
Common 54
 
23.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 30
17.3%
w 17
9.8%
r 15
8.7%
o 15
8.7%
n 14
8.1%
a 11
 
6.4%
e 10
 
5.8%
p 10
 
5.8%
h 10
 
5.8%
c 9
 
5.2%
Other values (11) 32
18.5%
Common
ValueCountFrequency (%)
/ 23
42.6%
. 19
35.2%
: 9
 
16.7%
7 1
 
1.9%
9 1
 
1.9%
1 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 227
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 30
13.2%
/ 23
 
10.1%
. 19
 
8.4%
w 17
 
7.5%
r 15
 
6.6%
o 15
 
6.6%
n 14
 
6.2%
a 11
 
4.8%
e 10
 
4.4%
p 10
 
4.4%
Other values (17) 63
27.8%

대표자명
Text

MISSING 

Distinct178
Distinct (%)87.7%
Missing180
Missing (%)47.0%
Memory size3.1 KiB
2024-05-10T21:38:03.646836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.2167488
Min length2

Characters and Unicode

Total characters653
Distinct characters131
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

Unique159 ?
Unique (%)78.3%

Sample

1st row윤제현
2nd row권순석
3rd row궁진태,최인규
4th row윤태형
5th row홍정우
ValueCountFrequency (%)
표현명 4
 
1.9%
김영진 4
 
1.9%
팽중원 3
 
1.4%
최석용 3
 
1.4%
황일문 2
 
1.0%
소옥자 2
 
1.0%
이기용 2
 
1.0%
허숙정 2
 
1.0%
강귀호 2
 
1.0%
김현수 2
 
1.0%
Other values (171) 181
87.4%
2024-05-10T21:38:04.679984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 39
 
6.0%
이 27
 
4.1%
영 26
 
4.0%
성 18
 
2.8%
진 18
 
2.8%
정 16
 
2.5%
현 16
 
2.5%
수 15
 
2.3%
석 15
 
2.3%
용 14
 
2.1%
Other values (121) 449
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 638
97.7%
Math Symbol 8
 
1.2%
Space Separator 4
 
0.6%
Decimal Number 2
 
0.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 39
 
6.1%
이 27
 
4.2%
영 26
 
4.1%
성 18
 
2.8%
진 18
 
2.8%
정 16
 
2.5%
현 16
 
2.5%
수 15
 
2.4%
석 15
 
2.4%
용 14
 
2.2%
Other values (117) 434
68.0%
Math Symbol
ValueCountFrequency (%)
+ 8
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
1 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 638
97.7%
Common 15
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 39
 
6.1%
이 27
 
4.2%
영 26
 
4.1%
성 18
 
2.8%
진 18
 
2.8%
정 16
 
2.5%
현 16
 
2.5%
수 15
 
2.4%
석 15
 
2.4%
용 14
 
2.2%
Other values (117) 434
68.0%
Common
ValueCountFrequency (%)
+ 8
53.3%
4
26.7%
1 2
 
13.3%
, 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 638
97.7%
ASCII 15
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 39
 
6.1%
이 27
 
4.2%
영 26
 
4.1%
성 18
 
2.8%
진 18
 
2.8%
정 16
 
2.5%
현 16
 
2.5%
수 15
 
2.4%
석 15
 
2.4%
용 14
 
2.2%
Other values (117) 434
68.0%
ASCII
ValueCountFrequency (%)
+ 8
53.3%
4
26.7%
1 2
 
13.3%
, 1
 
6.7%

전화번호
Text

Distinct321
Distinct (%)83.8%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2024-05-10T21:38:05.222830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.872063
Min length9

Characters and Unicode

Total characters4547
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

Unique286 ?
Unique (%)74.7%

Sample

1st row1666-7686
2nd row031-633-9991
3rd row031-637-2477
4th row000-0000-0000
5th row031-871-7789
ValueCountFrequency (%)
000-0000-0000 15
 
3.9%
031-969-0772 4
 
1.0%
031-941-5432 4
 
1.0%
02-3461-1437 4
 
1.0%
031-487-0001 4
 
1.0%
031-907-7797 4
 
1.0%
031-914-7711 3
 
0.8%
031-922-4140 3
 
0.8%
080-2000-3000 3
 
0.8%
031-683-6878 3
 
0.8%
Other values (311) 336
87.7%
2024-05-10T21:38:06.225721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 854
18.8%
- 741
16.3%
1 562
12.4%
3 517
11.4%
7 307
 
6.8%
2 294
 
6.5%
5 289
 
6.4%
6 260
 
5.7%
8 250
 
5.5%
4 243
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3806
83.7%
Dash Punctuation 741
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 854
22.4%
1 562
14.8%
3 517
13.6%
7 307
 
8.1%
2 294
 
7.7%
5 289
 
7.6%
6 260
 
6.8%
8 250
 
6.6%
4 243
 
6.4%
9 230
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 741
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4547
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 854
18.8%
- 741
16.3%
1 562
12.4%
3 517
11.4%
7 307
 
6.8%
2 294
 
6.5%
5 289
 
6.4%
6 260
 
5.7%
8 250
 
5.5%
4 243
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 854
18.8%
- 741
16.3%
1 562
12.4%
3 517
11.4%
7 307
 
6.8%
2 294
 
6.5%
5 289
 
6.4%
6 260
 
5.7%
8 250
 
5.5%
4 243
 
5.3%

데이터기준일자
Categorical

Distinct28
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size3.1 KiB
2023-10-06
38 
2023-11-30
30 
2023-11-20
29 
2023-11-29
26 
2023-11-14
26 
Other values (23)
234 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique2 ?
Unique (%)0.5%

Sample

1st row2023-08-07
2nd row2023-06-15
3rd row2023-06-15
4th row2023-11-20
5th row2023-02-27

Common Values

ValueCountFrequency (%)
2023-10-06 38
 
9.9%
2023-11-30 30
 
7.8%
2023-11-20 29
 
7.6%
2023-11-29 26
 
6.8%
2023-11-14 26
 
6.8%
2023-05-30 25
 
6.5%
2023-08-07 21
 
5.5%
2023-11-16 19
 
5.0%
2023-06-30 19
 
5.0%
2023-02-27 18
 
4.7%
Other values (18) 132
34.5%

Length

2024-05-10T21:38:06.875228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-10-06 38
 
9.9%
2023-11-30 30
 
7.8%
2023-11-20 29
 
7.6%
2023-11-29 26
 
6.8%
2023-11-14 26
 
6.8%
2023-05-30 25
 
6.5%
2023-08-07 21
 
5.5%
2023-11-16 19
 
5.0%
2023-06-30 19
 
5.0%
2023-02-27 18
 
4.7%
Other values (18) 132
34.5%

Sample

업체명사업장구분소재지도로명주소소재지지번주소위도경도차고지도로명주소차고지지번주소보유차고지수용능력자동차총보유대수승용차보유대수승합차보유대수전기승용자동차보유대수전기승합자동차보유대수경차요금소형차요금중형차요금대형차요금승합차요금레저용차요금수입차요금평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각공휴일운영시작시각공휴일운영종료시각휴무일홈페이지주소대표자명전화번호데이터기준일자
0(유)프라임렌트카주사업장경기도 성남시 분당구 쇳골로17번길 6(금곡동)경기도 성남시 분당구 금곡동 57-337.362611127.099151경기도 성남시 분당구 궁내동 362-5+364-1+364-3+경기도 성남시 분당구 쇳골로17번길 6경기도 성남시 분당구 궁내동 362-5+364-1+364-3+경기도 성남시 분당구 금곡동 57-1938584100<NA><NA><NA><NA><NA><NA><NA>08:3019:00<NA><NA><NA><NA><NA><NA>윤제현1666-76862023-08-07
1(자)기풍렌트카 신하점영업소경기도 이천시 부발읍 신아로 3경기도 이천시 부발읍 신하리 53037.259026127.481653경기도 이천시 신아로 3경기도 이천시 부발읍 신하리 532-5<NA>76100<NA><NA><NA><NA><NA><NA><NA>08:0020:0008:0020:0008:0020:00<NA>http://www.icrent.kr/<NA>031-633-99912023-06-15
2(자)기풍렌트카 이천영업소영업소경기도 이천시 이섭대천로 1437경기도 이천시 증포동 215-737.29602127.456885경기도 이천시 황무로 2065번길 72-211경기도 이천시 부발읍 가산리 182-5<NA>66000<NA><NA><NA><NA><NA><NA><NA>08:0020:0008:0020:0008:0020:00<NA>http://kipung.wdw.kr/<NA>031-637-24772023-06-15
3(자)주성렌트카주사업장경기도 수원시 권선구 권선로 544(세류동)경기도 수원시 권선구 세류동 324-637.262943127.010985경기도 수원시 팔달구 중부대로 50(인계동)경기도 수원시 팔달구 인계동 750-82<NA>5554100<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA>권순석000-0000-00002023-11-20
4(주)강경렌트카영업소경기도 의정부시 평화로 525(의정부동)경기도 의정부시 의정부동 168-5437.73799127.045879경기도 의정부시 신흥로258번길 8(의정부동)경기도 의정부시 의정부동 441-4171119200<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA><NA>031-871-77892023-02-27
5(주)국화렌트카주사업장경기도 양주시 화합로 1342경기도 양주시 덕정동 350-27237.845024127.061703경기도 양주시 백은로 482경기도 양주시 광적면 가납리 225-11,14,15<NA>5351200<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA>궁진태,최인규031-859-88332023-11-01
6(주)노블레스렌터카주사업장경기도 성남시 분당구 쇳골로17번길 6경기도 성남시 분당구 금곡동 57-137.362611127.099118경기도 성남시 분당구 서현로180번길19경기도 성남시 분당구 궁내동360-9337202196600<NA><NA><NA><NA><NA><NA><NA>08:3018:00<NA><NA><NA><NA><NA><NA>윤태형1666-76862023-08-07
7(주)더뉴 렌터카주사업장경기도 동두천시 정장로 55경기도 동두천시 생연동 631-637.904332127.056975경기도 양주시 은현면 은현로312번길 57경기도 양주시 은현면 하패리 831<NA>78735004000050000700001000001000000008:0023:5900:0023:5900:0023:59연중무휴<NA>홍정우031-861-18002023-07-05
8(주)도연렌트카주사업장경기도 의정부시 용민로61번길 32-8(용현동)경기도 의정부시 용현동 278-237.737983127.08509경기도 의정부시 용민로61번길 32-8(용현동)경기도 의정부시 용현동 278-21350118118000<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA><NA>031-875-40042023-02-27
9(주)디앤알주사업장경기도 용인시 기흥구 용구대로2325번길 40-5경기도 용인시 기흥구 마북동 502-233번지37.296133127.105408경기도 용인시 기흥구 용구대로2325번길 40-5<NA><NA>6260200<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA>문동진031-286-42802023-11-30
업체명사업장구분소재지도로명주소소재지지번주소위도경도차고지도로명주소차고지지번주소보유차고지수용능력자동차총보유대수승용차보유대수승합차보유대수전기승용자동차보유대수전기승합자동차보유대수경차요금소형차요금중형차요금대형차요금승합차요금레저용차요금수입차요금평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각공휴일운영시작시각공휴일운영종료시각휴무일홈페이지주소대표자명전화번호데이터기준일자
373케이렌트카㈜이동영업소영업소경기도 안산시 상록구 박우물로 4, 102호(이동)경기도 안산시 상록구 이동 677, 101호37.308755126.844575경기도 안산시 단원구 광덕서로 48경기도 안산시 단원구 고잔동 715-3<NA>65100<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA><NA>031-407-01112023-05-30
374케이비오토렌터매니지먼트㈜영업소경기도 의정부시 신촌로 79(가능동)경기도 의정부시 가능동 205-2337.750612127.043358경기도 의정부시 신촌로 79(가능동)경기도 의정부시 가능동 205-2326088000<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA><NA>02-971-24642023-02-27
375케이투렌트카㈜주사업장경기도 고양시 일산서구 주화로 210경기도 고양시 일산서구 대화동 222637.675648126.746668경기도 김포시 김포한강7로 93(구래동, 김포월드에비뉴주차장)<NA><NA>6159200<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA><NA>1688-47542023-10-06
376코바렌트카(주)주사업장경기도 양주시 광적면 부흥로 877, 205호경기도 양주시 광적면 가납리 431-137.814228126.98945경기도 양주시 광적면 부흥로 877, 205호<NA><NA>45210240<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA>홍성희033-643-10222023-11-01
377코오롱모빌리티그룹㈜주사업장경기도 용인시 기흥구 중부대로 242경기도 용인시 영덕동 126637.269469127.093244경기도 용인시 기흥구 중부대로 242<NA><NA>43320110<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA>이규호 외1인000-000-00002023-11-30
378클로버렌트카영업소경기도 평택시 청북읍 고잔6길 119-13경기도 평택시 청북읍 고잔리 996-1537.040874126.893716경기도 평택시 청북읍 고잔6길 119-13경기도 평택시 청북읍 고잔리 996-151398152144800<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA><NA>02-525-38602023-07-07
379투투렌트카영업소경기도 성남시 수정구 위례광장로 300경기도 성남시 수정구 창곡동 50937.473472127.1427경기도 성남시 분당구 서현로180번길 19경기도 성남시 분당구 서현동 25613077000<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA><NA>02-599-03332023-07-07
380투투렌트카영업소경기도 성남시 분당구 성남대로 165경기도 성남시 분당구 금곡동 16137.350762127.108309경기도 성남시 분당구 판교로 182-7(판교동)경기도 성남시 분당구 판교동 511-66555000<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA><NA>02-599-03332023-07-07
381하나렌트카㈜주사업장경기도 부천시 오정구 신흥로393번길 10경기도 부천시 오정구 내동 16-337.51884126.774747경기도 부천시 오정구 신흥로 393<NA>1842164156620500007000080000110000110000<NA><NA>08:3020:0008:3020:0008:3020:00설 연휴+추석 연휴http://www.1rent.co.kr/김용진032-675-14712024-01-09
382한진렌트카㈜영업소경기도 양주시 덕계로 126경기도 양주시 덕계동 209-537.818773127.056653경기도 양주시 덕계로 126(덕계동)<NA><NA>6462200<NA><NA><NA><NA><NA><NA><NA>09:0018:00<NA><NA><NA><NA><NA><NA>이주형031-871-82072023-11-01