Overview

Dataset statistics

Number of variables32
Number of observations58
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.5 KiB
Average record size in memory273.2 B

Variable types

Text7
Categorical20
Numeric5

Dataset

Description대구광역시_렌터카업체정보_20200318
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15025689&dataSetDetailId=150256891d0d81d5e709b&provdMethod=FILE

Alerts

사업장구분 has constant value ""Constant
보유차고지수용능력 has constant value ""Constant
전기승합자동차보유대수 has constant value ""Constant
경차요금 has constant value ""Constant
소형차요금 has constant value ""Constant
중형차요금 has constant value ""Constant
대형차요금 has constant value ""Constant
승합차요금 has constant value ""Constant
레저용차요금 has constant value ""Constant
수입차요금 has constant value ""Constant
평일운영시작시각 has constant value ""Constant
평일운영종료시각 has constant value ""Constant
주말운영시작시각 has constant value ""Constant
주말운영종료시각 has constant value ""Constant
공휴일운영시작시각 has constant value ""Constant
공휴일운영종료시각 has constant value ""Constant
휴무일 has constant value ""Constant
홈페이지주소 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전기승용자동차보유대수 is highly imbalanced (78.4%)Imbalance
업체명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique
승용차보유대수 has 1 (1.7%) zerosZeros
승합차보유대수 has 6 (10.3%) zerosZeros

Reproduction

Analysis started2024-04-21 08:06:35.852531
Analysis finished2024-04-21 08:06:36.736542
Duration0.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-04-21T17:06:37.368948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length7.9310345
Min length2

Characters and Unicode

Total characters460
Distinct characters95
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique58 ?
Unique (%)100.0%

Sample

1st row㈜거성운수
2nd row(주)경동렌트카
3rd row(주)경원렌트카
4th row고려렌트카㈜
5th row㈜씨엔에스렌터카
ValueCountFrequency (%)
㈜거성운수 1
 
1.7%
주)원츠 1
 
1.7%
㈜에이스렌트카 1
 
1.7%
솔렌트카㈜ 1
 
1.7%
㈜신화오토렌탈 1
 
1.7%
주)아세아렌트카 1
 
1.7%
㈜에이치렌트카 1
 
1.7%
주)에이치씨렌트카 1
 
1.7%
영일렌트카㈜ 1
 
1.7%
주)예스렌트카 1
 
1.7%
Other values (49) 49
83.1%
2024-04-21T17:06:38.832232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
렌 54
 
11.7%
카 53
 
11.5%
트 47
 
10.2%
) 37
 
8.0%
( 37
 
8.0%
주 36
 
7.8%
㈜ 22
 
4.8%
이 15
 
3.3%
에 8
 
1.7%
스 8
 
1.7%
Other values (85) 143
31.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
78.7%
Close Punctuation 37
 
8.0%
Open Punctuation 37
 
8.0%
Other Symbol 22
 
4.8%
Other Punctuation 1
 
0.2%
Space Separator 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
렌 54
14.9%
카 53
14.6%
트 47
 
13.0%
주 36
 
9.9%
이 15
 
4.1%
에 8
 
2.2%
스 8
 
2.2%
터 7
 
1.9%
오 6
 
1.7%
치 4
 
1.1%
Other values (80) 124
34.3%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
83.5%
Common 76
 
16.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
렌 54
14.1%
카 53
13.8%
트 47
 
12.2%
주 36
 
9.4%
㈜ 22
 
5.7%
이 15
 
3.9%
에 8
 
2.1%
스 8
 
2.1%
터 7
 
1.8%
오 6
 
1.6%
Other values (81) 128
33.3%
Common
ValueCountFrequency (%)
) 37
48.7%
( 37
48.7%
, 1
 
1.3%
1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
78.7%
ASCII 76
 
16.5%
None 22
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
렌 54
14.9%
카 53
14.6%
트 47
 
13.0%
주 36
 
9.9%
이 15
 
4.1%
에 8
 
2.2%
스 8
 
2.2%
터 7
 
1.9%
오 6
 
1.7%
치 4
 
1.1%
Other values (80) 124
34.3%
ASCII
ValueCountFrequency (%)
) 37
48.7%
( 37
48.7%
, 1
 
1.3%
1
 
1.3%
None
ValueCountFrequency (%)
㈜ 22
100.0%

사업장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
주사업장
58 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주사업장 58
100.0%

Length

2024-04-21T17:06:39.237643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:06:39.529043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주사업장 58
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-04-21T17:06:40.602188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length40.5
Mean length26.344828
Min length18

Characters and Unicode

Total characters1528
Distinct characters148
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

Unique58 ?
Unique (%)100.0%

Sample

1st row대구광역시 북구 팔달로 15-1(노원동3가)
2nd row대구광역시 달서구 앞산순환로 279(송현동)
3rd row대구광역시 달성군 가창면 가창로 768(냉천리)
4th row대구광역시 동구 공항로31길9-7(불로동)
5th row대구광역시 북구 서변로3길 57-4(서변동)
ValueCountFrequency (%)
대구광역시 58
22.0%
수성구 14
 
5.3%
북구 10
 
3.8%
동구 9
 
3.4%
달서구 9
 
3.4%
서구 7
 
2.7%
중구 6
 
2.3%
국채보상로 3
 
1.1%
3층 3
 
1.1%
달구벌대로 3
 
1.1%
Other values (134) 142
53.8%
2024-04-21T17:06:42.216510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
206
 
13.5%
구 123
 
8.0%
동 80
 
5.2%
대 77
 
5.0%
시 61
 
4.0%
로 60
 
3.9%
광 58
 
3.8%
역 58
 
3.8%
) 57
 
3.7%
( 57
 
3.7%
Other values (138) 691
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 924
60.5%
Decimal Number 242
 
15.8%
Space Separator 206
 
13.5%
Close Punctuation 57
 
3.7%
Open Punctuation 57
 
3.7%
Other Punctuation 28
 
1.8%
Dash Punctuation 13
 
0.9%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 123
 
13.3%
동 80
 
8.7%
대 77
 
8.3%
시 61
 
6.6%
로 60
 
6.5%
광 58
 
6.3%
역 58
 
6.3%
서 21
 
2.3%
성 19
 
2.1%
달 18
 
1.9%
Other values (122) 349
37.8%
Decimal Number
ValueCountFrequency (%)
2 46
19.0%
1 42
17.4%
3 29
12.0%
4 23
9.5%
0 20
8.3%
9 20
8.3%
7 18
 
7.4%
6 16
 
6.6%
8 15
 
6.2%
5 13
 
5.4%
Space Separator
ValueCountFrequency (%)
206
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 924
60.5%
Common 603
39.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 123
 
13.3%
동 80
 
8.7%
대 77
 
8.3%
시 61
 
6.6%
로 60
 
6.5%
광 58
 
6.3%
역 58
 
6.3%
서 21
 
2.3%
성 19
 
2.1%
달 18
 
1.9%
Other values (122) 349
37.8%
Common
ValueCountFrequency (%)
206
34.2%
) 57
 
9.5%
( 57
 
9.5%
2 46
 
7.6%
1 42
 
7.0%
3 29
 
4.8%
, 28
 
4.6%
4 23
 
3.8%
0 20
 
3.3%
9 20
 
3.3%
Other values (5) 75
 
12.4%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 924
60.5%
ASCII 604
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
206
34.1%
) 57
 
9.4%
( 57
 
9.4%
2 46
 
7.6%
1 42
 
7.0%
3 29
 
4.8%
, 28
 
4.6%
4 23
 
3.8%
0 20
 
3.3%
9 20
 
3.3%
Other values (6) 76
 
12.6%
Hangul
ValueCountFrequency (%)
구 123
 
13.3%
동 80
 
8.7%
대 77
 
8.3%
시 61
 
6.6%
로 60
 
6.5%
광 58
 
6.3%
역 58
 
6.3%
서 21
 
2.3%
성 19
 
2.1%
달 18
 
1.9%
Other values (122) 349
37.8%

소재지지번주소
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-04-21T17:06:43.256250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length19.982759
Min length16

Characters and Unicode

Total characters1159
Distinct characters100
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

Unique56 ?
Unique (%)96.6%

Sample

1st row대구광역시 북구 노원동3가 522
2nd row대구광역시 달서구 송현동 2015-9
3rd row대구광역시 달성군 가창면 냉천리 385-4
4th row대구광역시 동구 불로동 966
5th row대구광역시 북구 서변동 1143-2
ValueCountFrequency (%)
대구광역시 58
23.9%
수성구 14
 
5.8%
북구 10
 
4.1%
달서구 9
 
3.7%
동구 9
 
3.7%
서구 7
 
2.9%
중구 6
 
2.5%
노원동3가 4
 
1.6%
남산동 3
 
1.2%
장기동 3
 
1.2%
Other values (105) 120
49.4%
2024-04-21T17:06:44.726083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
185
16.0%
구 115
 
9.9%
동 68
 
5.9%
대 62
 
5.3%
시 59
 
5.1%
광 58
 
5.0%
역 58
 
5.0%
- 47
 
4.1%
2 46
 
4.0%
1 44
 
3.8%
Other values (90) 417
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 654
56.4%
Decimal Number 258
 
22.3%
Space Separator 185
 
16.0%
Dash Punctuation 47
 
4.1%
Other Punctuation 8
 
0.7%
Open Punctuation 3
 
0.3%
Close Punctuation 3
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 115
17.6%
동 68
 
10.4%
대 62
 
9.5%
시 59
 
9.0%
광 58
 
8.9%
역 58
 
8.9%
서 18
 
2.8%
성 17
 
2.6%
수 15
 
2.3%
달 11
 
1.7%
Other values (74) 173
26.5%
Decimal Number
ValueCountFrequency (%)
2 46
17.8%
1 44
17.1%
3 26
10.1%
5 25
9.7%
0 24
9.3%
9 21
8.1%
6 21
8.1%
4 20
7.8%
7 19
7.4%
8 12
 
4.7%
Space Separator
ValueCountFrequency (%)
185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 654
56.4%
Common 504
43.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 115
17.6%
동 68
 
10.4%
대 62
 
9.5%
시 59
 
9.0%
광 58
 
8.9%
역 58
 
8.9%
서 18
 
2.8%
성 17
 
2.6%
수 15
 
2.3%
달 11
 
1.7%
Other values (74) 173
26.5%
Common
ValueCountFrequency (%)
185
36.7%
- 47
 
9.3%
2 46
 
9.1%
1 44
 
8.7%
3 26
 
5.2%
5 25
 
5.0%
0 24
 
4.8%
9 21
 
4.2%
6 21
 
4.2%
4 20
 
4.0%
Other values (5) 45
 
8.9%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 654
56.4%
ASCII 505
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
185
36.6%
- 47
 
9.3%
2 46
 
9.1%
1 44
 
8.7%
3 26
 
5.1%
5 25
 
5.0%
0 24
 
4.8%
9 21
 
4.2%
6 21
 
4.2%
4 20
 
4.0%
Other values (6) 46
 
9.1%
Hangul
ValueCountFrequency (%)
구 115
17.6%
동 68
 
10.4%
대 62
 
9.5%
시 59
 
9.0%
광 58
 
8.9%
역 58
 
8.9%
서 18
 
2.8%
성 17
 
2.6%
수 15
 
2.3%
달 11
 
1.7%
Other values (74) 173
26.5%

위도
Real number (ℝ)

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.861939
Minimum35.781131
Maximum35.921946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-04-21T17:06:45.124917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.781131
5-th percentile35.812704
Q135.841885
median35.862352
Q335.878504
95-th percentile35.901509
Maximum35.921946
Range0.1408151
Interquartile range (IQR)0.036618475

Descriptive statistics

Standard deviation0.028098953
Coefficient of variation (CV)0.00078353135
Kurtosis0.23229133
Mean35.861939
Median Absolute Deviation (MAD)0.01919365
Skewness-0.22455426
Sum2079.9924
Variance0.00078955118
MonotonicityNot monotonic
2024-04-21T17:06:45.569562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8929665 2
 
3.4%
35.8724363 2
 
3.4%
35.8748636 1
 
1.7%
35.8531143 1
 
1.7%
35.8665542 1
 
1.7%
35.8681676 1
 
1.7%
35.8982232 1
 
1.7%
35.8838492 1
 
1.7%
35.8908686 1
 
1.7%
35.8321613 1
 
1.7%
Other values (46) 46
79.3%
ValueCountFrequency (%)
35.7811311 1
1.7%
35.8108299 1
1.7%
35.8123053 1
1.7%
35.8127744 1
1.7%
35.8271056 1
1.7%
35.8282928 1
1.7%
35.8321613 1
1.7%
35.8341148 1
1.7%
35.8353468 1
1.7%
35.836087 1
1.7%
ValueCountFrequency (%)
35.9219462 1
1.7%
35.9215518 1
1.7%
35.9022723 1
1.7%
35.9013748 1
1.7%
35.8998132 1
1.7%
35.8982232 1
1.7%
35.8963817 1
1.7%
35.8942394 1
1.7%
35.8929665 2
3.4%
35.8908686 1
1.7%

경도
Real number (ℝ)

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59446
Minimum128.49151
Maximum128.72226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-04-21T17:06:45.997877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.49151
5-th percentile128.52467
Q1128.55144
median128.59441
Q3128.62588
95-th percentile128.68528
Maximum128.72226
Range0.2307544
Interquartile range (IQR)0.0744347

Descriptive statistics

Standard deviation0.051081898
Coefficient of variation (CV)0.00039723249
Kurtosis-0.23895166
Mean128.59446
Median Absolute Deviation (MAD)0.03627135
Skewness0.38030806
Sum7458.4788
Variance0.0026093603
MonotonicityNot monotonic
2024-04-21T17:06:46.437077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5533611 2
 
3.4%
128.62622 2
 
3.4%
128.5976461 1
 
1.7%
128.6838887 1
 
1.7%
128.6259138 1
 
1.7%
128.5415576 1
 
1.7%
128.5756723 1
 
1.7%
128.6071459 1
 
1.7%
128.558091 1
 
1.7%
128.6239103 1
 
1.7%
Other values (46) 46
79.3%
ValueCountFrequency (%)
128.4915082 1
1.7%
128.5168305 1
1.7%
128.5234293 1
1.7%
128.524888 1
1.7%
128.5300512 1
1.7%
128.5344713 1
1.7%
128.5372286 1
1.7%
128.538787 1
1.7%
128.540189 1
1.7%
128.5415576 1
1.7%
ValueCountFrequency (%)
128.7222626 1
1.7%
128.708195 1
1.7%
128.6931518 1
1.7%
128.6838887 1
1.7%
128.6772623 1
1.7%
128.6751315 1
1.7%
128.6511324 1
1.7%
128.6443305 1
1.7%
128.6421706 1
1.7%
128.6323845 1
1.7%

차고지도로명주소
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-04-21T17:06:47.632673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length31
Mean length24.327586
Min length16

Characters and Unicode

Total characters1411
Distinct characters125
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

Unique56 ?
Unique (%)96.6%

Sample

1st row대구광역시 북구 팔달로15-1(노원동3가)
2nd row대구광역시 달서구 장기동 12-4
3rd row대구광역시 달성군 가창면 삼산리 898
4th row대구광역시 북구 침산동 262-2
5th row대구광역시 북구 서변로3길 57-4(서변동)
ValueCountFrequency (%)
대구광역시 56
 
20.4%
달성군 18
 
6.6%
달서구 12
 
4.4%
동구 10
 
3.6%
북구 7
 
2.6%
하빈면 6
 
2.2%
수성구 5
 
1.8%
서구 3
 
1.1%
봉촌리 3
 
1.1%
구지면 3
 
1.1%
Other values (133) 151
55.1%
2024-04-21T17:06:49.223749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
 
15.3%
구 100
 
7.1%
대 63
 
4.5%
시 59
 
4.2%
1 58
 
4.1%
역 56
 
4.0%
광 56
 
4.0%
동 51
 
3.6%
- 49
 
3.5%
2 45
 
3.2%
Other values (115) 658
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 795
56.3%
Decimal Number 294
 
20.8%
Space Separator 216
 
15.3%
Dash Punctuation 49
 
3.5%
Other Punctuation 20
 
1.4%
Close Punctuation 17
 
1.2%
Open Punctuation 17
 
1.2%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 100
 
12.6%
대 63
 
7.9%
시 59
 
7.4%
역 56
 
7.0%
광 56
 
7.0%
동 51
 
6.4%
달 34
 
4.3%
성 27
 
3.4%
서 24
 
3.0%
리 21
 
2.6%
Other values (99) 304
38.2%
Decimal Number
ValueCountFrequency (%)
1 58
19.7%
2 45
15.3%
3 31
10.5%
4 31
10.5%
5 30
10.2%
8 26
8.8%
7 23
 
7.8%
0 18
 
6.1%
6 18
 
6.1%
9 14
 
4.8%
Space Separator
ValueCountFrequency (%)
216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 49
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 795
56.3%
Common 613
43.4%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 100
 
12.6%
대 63
 
7.9%
시 59
 
7.4%
역 56
 
7.0%
광 56
 
7.0%
동 51
 
6.4%
달 34
 
4.3%
성 27
 
3.4%
서 24
 
3.0%
리 21
 
2.6%
Other values (99) 304
38.2%
Common
ValueCountFrequency (%)
216
35.2%
1 58
 
9.5%
- 49
 
8.0%
2 45
 
7.3%
3 31
 
5.1%
4 31
 
5.1%
5 30
 
4.9%
8 26
 
4.2%
7 23
 
3.8%
, 20
 
3.3%
Other values (5) 84
 
13.7%
Latin
ValueCountFrequency (%)
F 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 795
56.3%
ASCII 616
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
35.1%
1 58
 
9.4%
- 49
 
8.0%
2 45
 
7.3%
3 31
 
5.0%
4 31
 
5.0%
5 30
 
4.9%
8 26
 
4.2%
7 23
 
3.7%
, 20
 
3.2%
Other values (6) 87
14.1%
Hangul
ValueCountFrequency (%)
구 100
 
12.6%
대 63
 
7.9%
시 59
 
7.4%
역 56
 
7.0%
광 56
 
7.0%
동 51
 
6.4%
달 34
 
4.3%
성 27
 
3.4%
서 24
 
3.0%
리 21
 
2.6%
Other values (99) 304
38.2%

차고지지번주소
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-04-21T17:06:50.404235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length23.965517
Min length16

Characters and Unicode

Total characters1390
Distinct characters122
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

Unique56 ?
Unique (%)96.6%

Sample

1st row대구광역시 북구 노원동3가 522
2nd row대구광역시 달서구 장기동 12-4
3rd row대구광역시 달성군 가창면 삼산리 898
4th row대구광역시 북구 침산동262-2
5th row대구광역시 북구 서변동 1143-2
ValueCountFrequency (%)
대구광역시 56
 
20.4%
달성군 18
 
6.6%
달서구 12
 
4.4%
동구 10
 
3.6%
북구 7
 
2.6%
하빈면 6
 
2.2%
수성구 5
 
1.8%
이곡서로 3
 
1.1%
논공읍 3
 
1.1%
신천동 3
 
1.1%
Other values (132) 151
55.1%
2024-04-21T17:06:52.021753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
 
15.5%
구 100
 
7.2%
대 63
 
4.5%
시 59
 
4.2%
1 56
 
4.0%
광 56
 
4.0%
역 56
 
4.0%
동 51
 
3.7%
- 48
 
3.5%
2 48
 
3.5%
Other values (112) 637
45.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 782
56.3%
Decimal Number 293
 
21.1%
Space Separator 216
 
15.5%
Dash Punctuation 48
 
3.5%
Other Punctuation 20
 
1.4%
Open Punctuation 14
 
1.0%
Close Punctuation 14
 
1.0%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 100
 
12.8%
대 63
 
8.1%
시 59
 
7.5%
광 56
 
7.2%
역 56
 
7.2%
동 51
 
6.5%
달 33
 
4.2%
성 27
 
3.5%
서 23
 
2.9%
리 21
 
2.7%
Other values (96) 293
37.5%
Decimal Number
ValueCountFrequency (%)
1 56
19.1%
2 48
16.4%
4 31
10.6%
3 30
10.2%
5 28
9.6%
8 26
8.9%
7 22
 
7.5%
0 19
 
6.5%
6 18
 
6.1%
9 15
 
5.1%
Space Separator
ValueCountFrequency (%)
216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 782
56.3%
Common 605
43.5%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 100
 
12.8%
대 63
 
8.1%
시 59
 
7.5%
광 56
 
7.2%
역 56
 
7.2%
동 51
 
6.5%
달 33
 
4.2%
성 27
 
3.5%
서 23
 
2.9%
리 21
 
2.7%
Other values (96) 293
37.5%
Common
ValueCountFrequency (%)
216
35.7%
1 56
 
9.3%
- 48
 
7.9%
2 48
 
7.9%
4 31
 
5.1%
3 30
 
5.0%
5 28
 
4.6%
8 26
 
4.3%
7 22
 
3.6%
, 20
 
3.3%
Other values (5) 80
 
13.2%
Latin
ValueCountFrequency (%)
F 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 782
56.3%
ASCII 608
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
35.5%
1 56
 
9.2%
- 48
 
7.9%
2 48
 
7.9%
4 31
 
5.1%
3 30
 
4.9%
5 28
 
4.6%
8 26
 
4.3%
7 22
 
3.6%
, 20
 
3.3%
Other values (6) 83
 
13.7%
Hangul
ValueCountFrequency (%)
구 100
 
12.8%
대 63
 
8.1%
시 59
 
7.5%
광 56
 
7.2%
역 56
 
7.2%
동 51
 
6.5%
달 33
 
4.2%
성 27
 
3.5%
서 23
 
2.9%
리 21
 
2.7%
Other values (96) 293
37.5%

보유차고지수용능력
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
100
58 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 58
100.0%

Length

2024-04-21T17:06:52.431395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:06:52.722747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 58
100.0%

자동차총보유대수
Real number (ℝ)

Distinct46
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.75862
Minimum30
Maximum445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-04-21T17:06:53.032602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile50
Q159.25
median82.5
Q3170.75
95-th percentile306.9
Maximum445
Range415
Interquartile range (IQR)111.5

Descriptive statistics

Standard deviation92.552936
Coefficient of variation (CV)0.75394246
Kurtosis2.3376024
Mean122.75862
Median Absolute Deviation (MAD)28
Skewness1.630002
Sum7120
Variance8566.046
MonotonicityNot monotonic
2024-04-21T17:06:53.437449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
50 3
 
5.2%
54 3
 
5.2%
66 3
 
5.2%
60 2
 
3.4%
84 2
 
3.4%
56 2
 
3.4%
95 2
 
3.4%
55 2
 
3.4%
103 2
 
3.4%
67 1
 
1.7%
Other values (36) 36
62.1%
ValueCountFrequency (%)
30 1
 
1.7%
50 3
5.2%
52 1
 
1.7%
53 1
 
1.7%
54 3
5.2%
55 2
3.4%
56 2
3.4%
57 1
 
1.7%
59 1
 
1.7%
60 2
3.4%
ValueCountFrequency (%)
445 1
1.7%
382 1
1.7%
346 1
1.7%
300 1
1.7%
267 1
1.7%
263 1
1.7%
237 1
1.7%
235 1
1.7%
227 1
1.7%
205 1
1.7%

승용차보유대수
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.13793
Minimum0
Maximum401
Zeros1
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-04-21T17:06:53.837267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile44
Q153.25
median73
Q3159.25
95-th percentile286.2
Maximum401
Range401
Interquartile range (IQR)106

Descriptive statistics

Standard deviation84.845876
Coefficient of variation (CV)0.75662067
Kurtosis2.0864309
Mean112.13793
Median Absolute Deviation (MAD)24.5
Skewness1.5352388
Sum6504
Variance7198.8227
MonotonicityNot monotonic
2024-04-21T17:06:54.296140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
59 3
 
5.2%
51 3
 
5.2%
53 3
 
5.2%
44 2
 
3.4%
85 2
 
3.4%
48 2
 
3.4%
310 1
 
1.7%
89 1
 
1.7%
49 1
 
1.7%
71 1
 
1.7%
Other values (39) 39
67.2%
ValueCountFrequency (%)
0 1
 
1.7%
30 1
 
1.7%
44 2
3.4%
45 1
 
1.7%
48 2
3.4%
49 1
 
1.7%
50 1
 
1.7%
51 3
5.2%
53 3
5.2%
54 1
 
1.7%
ValueCountFrequency (%)
401 1
1.7%
350 1
1.7%
310 1
1.7%
282 1
1.7%
246 1
1.7%
227 1
1.7%
222 1
1.7%
216 1
1.7%
199 1
1.7%
185 1
1.7%

승합차보유대수
Real number (ℝ)

ZEROS 

Distinct23
Distinct (%)39.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5862069
Minimum0
Maximum44
Zeros6
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size650.0 B
2024-04-21T17:06:54.690389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q312
95-th percentile36.6
Maximum44
Range44
Interquartile range (IQR)10

Descriptive statistics

Standard deviation10.793166
Coefficient of variation (CV)1.1259058
Kurtosis2.7394126
Mean9.5862069
Median Absolute Deviation (MAD)5
Skewness1.7807216
Sum556
Variance116.49244
MonotonicityNot monotonic
2024-04-21T17:06:55.062221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6 8
13.8%
1 8
13.8%
0 6
 
10.3%
5 3
 
5.2%
15 3
 
5.2%
7 3
 
5.2%
4 3
 
5.2%
2 3
 
5.2%
40 2
 
3.4%
12 2
 
3.4%
Other values (13) 17
29.3%
ValueCountFrequency (%)
0 6
10.3%
1 8
13.8%
2 3
 
5.2%
3 1
 
1.7%
4 3
 
5.2%
5 3
 
5.2%
6 8
13.8%
7 3
 
5.2%
8 1
 
1.7%
9 2
 
3.4%
ValueCountFrequency (%)
44 1
 
1.7%
40 2
3.4%
36 1
 
1.7%
32 1
 
1.7%
28 1
 
1.7%
21 1
 
1.7%
18 1
 
1.7%
17 2
3.4%
15 3
5.2%
13 1
 
1.7%

전기승용자동차보유대수
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size592.0 B
0
56 
30
 
2

Length

Max length2
Median length1
Mean length1.0344828
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 56
96.6%
30 2
 
3.4%

Length

2024-04-21T17:06:55.452353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:06:55.754895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 56
96.6%
30 2
 
3.4%

전기승합자동차보유대수
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
0
58 

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 58
100.0%

Length

2024-04-21T17:06:56.073154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:06:56.363467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 58
100.0%

경차요금
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
50000
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row50000
2nd row50000
3rd row50000
4th row50000
5th row50000

Common Values

ValueCountFrequency (%)
50000 58
100.0%

Length

2024-04-21T17:06:56.670233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:06:56.961062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
50000 58
100.0%

소형차요금
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
60000
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60000
2nd row60000
3rd row60000
4th row60000
5th row60000

Common Values

ValueCountFrequency (%)
60000 58
100.0%

Length

2024-04-21T17:06:57.269508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:06:57.561025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
60000 58
100.0%

중형차요금
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
70000
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row70000
2nd row70000
3rd row70000
4th row70000
5th row70000

Common Values

ValueCountFrequency (%)
70000 58
100.0%

Length

2024-04-21T17:06:57.872298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:06:58.164399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
70000 58
100.0%

대형차요금
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
100000
58 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100000
2nd row100000
3rd row100000
4th row100000
5th row100000

Common Values

ValueCountFrequency (%)
100000 58
100.0%

Length

2024-04-21T17:06:58.468717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:06:58.763011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100000 58
100.0%

승합차요금
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
120000
58 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row120000
2nd row120000
3rd row120000
4th row120000
5th row120000

Common Values

ValueCountFrequency (%)
120000 58
100.0%

Length

2024-04-21T17:06:59.070652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:06:59.363908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
120000 58
100.0%

레저용차요금
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
300000
58 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row300000
2nd row300000
3rd row300000
4th row300000
5th row300000

Common Values

ValueCountFrequency (%)
300000 58
100.0%

Length

2024-04-21T17:06:59.668868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:06:59.964347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
300000 58
100.0%

수입차요금
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
250000
58 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row250000
2nd row250000
3rd row250000
4th row250000
5th row250000

Common Values

ValueCountFrequency (%)
250000 58
100.0%

Length

2024-04-21T17:07:00.408584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:07:00.565891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
250000 58
100.0%

평일운영시작시각
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
10:00
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10:00
2nd row10:00
3rd row10:00
4th row10:00
5th row10:00

Common Values

ValueCountFrequency (%)
10:00 58
100.0%

Length

2024-04-21T17:07:00.730239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:07:00.887719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10:00 58
100.0%

평일운영종료시각
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
21:00
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row21:00
2nd row21:00
3rd row21:00
4th row21:00
5th row21:00

Common Values

ValueCountFrequency (%)
21:00 58
100.0%

Length

2024-04-21T17:07:01.054359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:07:01.211805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21:00 58
100.0%

주말운영시작시각
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
13:00
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13:00
2nd row13:00
3rd row13:00
4th row13:00
5th row13:00

Common Values

ValueCountFrequency (%)
13:00 58
100.0%

Length

2024-04-21T17:07:01.378949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:07:01.537538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13:00 58
100.0%

주말운영종료시각
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
21:00
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row21:00
2nd row21:00
3rd row21:00
4th row21:00
5th row21:00

Common Values

ValueCountFrequency (%)
21:00 58
100.0%

Length

2024-04-21T17:07:01.706409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:07:01.881819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21:00 58
100.0%

공휴일운영시작시각
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
13:00
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row13:00
2nd row13:00
3rd row13:00
4th row13:00
5th row13:00

Common Values

ValueCountFrequency (%)
13:00 58
100.0%

Length

2024-04-21T17:07:02.049410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:07:02.206420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
13:00 58
100.0%

공휴일운영종료시각
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
21:00
58 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row21:00
2nd row21:00
3rd row21:00
4th row21:00
5th row21:00

Common Values

ValueCountFrequency (%)
21:00 58
100.0%

Length

2024-04-21T17:07:02.368675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:07:02.531830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
21:00 58
100.0%

휴무일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
명절
58 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
명절 58
100.0%

Length

2024-04-21T17:07:02.697157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:07:02.856853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
명절 58
100.0%

홈페이지주소
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
없음
58 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 58
100.0%

Length

2024-04-21T17:07:03.020134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:07:03.180811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 58
100.0%

대표자명
Text

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-04-21T17:07:03.938678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0517241
Min length2

Characters and Unicode

Total characters177
Distinct characters86
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

Unique54 ?
Unique (%)93.1%

Sample

1st row권종범
2nd row서상기
3rd row윤광
4th row김길호
5th row나병민
ValueCountFrequency (%)
권종범 2
 
3.4%
임기원 2
 
3.4%
서미선 1
 
1.7%
허진호 1
 
1.7%
장효숙 1
 
1.7%
윤광 1
 
1.7%
안경화 1
 
1.7%
윤여균 1
 
1.7%
남연조 1
 
1.7%
노안석 1
 
1.7%
Other values (47) 47
79.7%
2024-04-21T17:07:04.970678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
6.2%
종 7
 
4.0%
원 6
 
3.4%
정 6
 
3.4%
호 5
 
2.8%
석 5
 
2.8%
이 4
 
2.3%
최 4
 
2.3%
용 4
 
2.3%
영 4
 
2.3%
Other values (76) 121
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
99.4%
Space Separator 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
6.2%
종 7
 
4.0%
원 6
 
3.4%
정 6
 
3.4%
호 5
 
2.8%
석 5
 
2.8%
이 4
 
2.3%
최 4
 
2.3%
용 4
 
2.3%
영 4
 
2.3%
Other values (75) 120
68.2%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
99.4%
Common 1
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
6.2%
종 7
 
4.0%
원 6
 
3.4%
정 6
 
3.4%
호 5
 
2.8%
석 5
 
2.8%
이 4
 
2.3%
최 4
 
2.3%
용 4
 
2.3%
영 4
 
2.3%
Other values (75) 120
68.2%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
99.4%
ASCII 1
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
6.2%
종 7
 
4.0%
원 6
 
3.4%
정 6
 
3.4%
호 5
 
2.8%
석 5
 
2.8%
이 4
 
2.3%
최 4
 
2.3%
용 4
 
2.3%
영 4
 
2.3%
Other values (75) 120
68.2%
ASCII
ValueCountFrequency (%)
1
100.0%

전화번호
Text

UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size592.0 B
2024-04-21T17:07:05.800709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.034483
Min length12

Characters and Unicode

Total characters698
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

Unique58 ?
Unique (%)100.0%

Sample

1st row053-527-6500
2nd row053-628-1153
3rd row053-762-8870
4th row053-745-3700
5th row053-261-8500
ValueCountFrequency (%)
053-527-6500 1
 
1.7%
053-745-8778 1
 
1.7%
053-525-4188 1
 
1.7%
053-741-6114 1
 
1.7%
053-753-7773 1
 
1.7%
053-751-8777 1
 
1.7%
053-745-5550 1
 
1.7%
053-210-5230 1
 
1.7%
053-959-1001 1
 
1.7%
053-259-3009 1
 
1.7%
Other values (48) 48
82.8%
2024-04-21T17:07:06.871069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 118
16.9%
- 116
16.6%
0 114
16.3%
3 93
13.3%
1 44
 
6.3%
2 42
 
6.0%
7 41
 
5.9%
8 38
 
5.4%
6 34
 
4.9%
4 34
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 582
83.4%
Dash Punctuation 116
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 118
20.3%
0 114
19.6%
3 93
16.0%
1 44
 
7.6%
2 42
 
7.2%
7 41
 
7.0%
8 38
 
6.5%
6 34
 
5.8%
4 34
 
5.8%
9 24
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 698
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 118
16.9%
- 116
16.6%
0 114
16.3%
3 93
13.3%
1 44
 
6.3%
2 42
 
6.0%
7 41
 
5.9%
8 38
 
5.4%
6 34
 
4.9%
4 34
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 698
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 118
16.9%
- 116
16.6%
0 114
16.3%
3 93
13.3%
1 44
 
6.3%
2 42
 
6.0%
7 41
 
5.9%
8 38
 
5.4%
6 34
 
4.9%
4 34
 
4.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size592.0 B
2020-03-18
58 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-03-18
2nd row2020-03-18
3rd row2020-03-18
4th row2020-03-18
5th row2020-03-18

Common Values

ValueCountFrequency (%)
2020-03-18 58
100.0%

Length

2024-04-21T17:07:07.096088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T17:07:07.255475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-03-18 58
100.0%

Sample

업체명사업장구분소재지도로명주소소재지지번주소위도경도차고지도로명주소차고지지번주소보유차고지수용능력자동차총보유대수승용차보유대수승합차보유대수전기승용자동차보유대수전기승합자동차보유대수경차요금소형차요금중형차요금대형차요금승합차요금레저용차요금수입차요금평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각공휴일운영시작시각공휴일운영종료시각휴무일홈페이지주소대표자명전화번호데이터기준일자
0㈜거성운수주사업장대구광역시 북구 팔달로 15-1(노원동3가)대구광역시 북구 노원동3가 52235.892966128.553361대구광역시 북구 팔달로15-1(노원동3가)대구광역시 북구 노원동3가 522100676160050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음권종범053-527-65002020-03-18
1(주)경동렌트카주사업장대구광역시 달서구 앞산순환로 279(송현동)대구광역시 달서구 송현동 2015-935.827106128.558189대구광역시 달서구 장기동 12-4대구광역시 달서구 장기동 12-4100888440050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음서상기053-628-11532020-03-18
2(주)경원렌트카주사업장대구광역시 달성군 가창면 가창로 768(냉천리)대구광역시 달성군 가창면 냉천리 385-435.781131128.64433대구광역시 달성군 가창면 삼산리 898대구광역시 달성군 가창면 삼산리 898100504460050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음윤광053-762-88702020-03-18
3고려렌트카㈜주사업장대구광역시 동구 공항로31길9-7(불로동)대구광역시 동구 불로동 96635.901375128.629851대구광역시 북구 침산동 262-2대구광역시 북구 침산동262-2100382350320050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음김길호053-745-37002020-03-18
4㈜씨엔에스렌터카주사업장대구광역시 북구 서변로3길 57-4(서변동)대구광역시 북구 서변동 1143-235.921946128.594401대구광역시 북구 서변로3길 57-4(서변동)대구광역시 북구 서변동 1143-2100918560050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음나병민053-261-85002020-03-18
5(주)공항렌트카주사업장대구광역시 북구 칠곡중앙대로 290(태전동)대구광역시 북구 태전동 625-235.921552128.547135대구광역시 서구 상리동 505-14대구광역시 서구 상리동 505-14100565150050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음김광진053-556-88502020-03-18
6(주)국제렌트카주사업장대구광역시 수성구 동대구로 376(범어동, 범어숲 화성파크드림S)대구광역시 수성구 범어동 2237, 범어숲 화성파크드림S35.864529128.627763대구광역시 북구 국우동 737-1, 737-4, 737-5, 737-6대구광역시 북구 국우동 737-1, 737-4, 737-5, 737-6100227199280050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음조석태053-745-21122020-03-18
7(주)굿모닝렌트카주사업장대구광역시 달서구 달서대로 475(호산동)대구광역시 달서구 호산동 719-435.84179128.491508대구광역시 달성군 현풍읍 성하리 257-2대구광역시 달성군 현풍읍 성하리 257-2100161146150050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음김원일053-559-04082020-03-18
8(주)극동오토렌탈주사업장대구광역시 동구 동부로22길 48, 오피스텔2104호(신천동,동대구유성푸르나임)대구광역시 동구 신천동 292-635.872436128.62622대구광역시 달서구 달구벌대로291길 91대구광역시 달서구 달구벌대로291길 91100237216210050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음도미령053-984-66742020-03-18
9(주)글로벌금오렌트카주사업장대구광역시 서구 북비산로 95(이현동)대구광역시 서구 이현동 33-1435.878904128.543382대구광역시 달성군 하빈면 봉촌리1097-3대구광역시 달성군 하빈면 봉촌리1097-3100445401440050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음이광락053-568-33882020-03-18
업체명사업장구분소재지도로명주소소재지지번주소위도경도차고지도로명주소차고지지번주소보유차고지수용능력자동차총보유대수승용차보유대수승합차보유대수전기승용자동차보유대수전기승합자동차보유대수경차요금소형차요금중형차요금대형차요금승합차요금레저용차요금수입차요금평일운영시작시각평일운영종료시각주말운영시작시각주말운영종료시각공휴일운영시작시각공휴일운영종료시각휴무일홈페이지주소대표자명전화번호데이터기준일자
48㈜요카렌트카주사업장대구광역시 수성구 파동로22길 24, 4층(파동)대구광역시 수성구 파동 236-235.812774128.618944대구광역시 중구 달성로26길 35(도원동)대구광역시 중구 달성로26길 35(도원동)100665970050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음윤영대053-766-11002020-03-18
49(주)하나렌트카주사업장대구광역시 수성구 명덕로 494-4(범어동)대구광역시 수성구 범어동 774-7235.853285128.624142대구광역시 수성구 유니버시아드로 316(욱수동 391-2)대구광역시 수성구 유니버시아드로 316(욱수동 391-2)10019018550050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음신동열053-941-71112020-03-18
50(주)하나에스렌트카주사업장대구광역시 달서구 장기로 276(장기동)대구광역시 달서구 장기동 817-235.844146128.530051대구광역시 달성군 논공읍 금포리 1857, 1860대구광역시 달성군 논공읍 금포리 1857, 1860100205165400050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음고원균053-257-30032020-03-18
51(주)한누리렌트카주사업장대구광역시 동구 동촌로 321-4(신평동)대구광역시 동구 신평동 780-5235.878804128.675131대구광역시 동구 동촌로 321-4(신평동)대구광역시 동구 동촌로 321-4(신평동)100555140050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음정영호053-981-99902020-03-18
52㈜대신렌트카주사업장대구광역시 북구 침산로 264(침산동)대구광역시 북구 침산동 67035.899813128.589318대구광역시 달성군 구지면 내리 840-2대구광역시 달성군 구지면 내리 840-2100696900050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음정성엽053-756-88422020-03-18
53㈜제이렌터카주사업장대구광역시 중구 동덕로 49, 5층(대봉동)대구광역시 중구 대봉동 43-2135.859463128.60424대구광역시 동구 첨단로8길 5 드림타워(4F, 신서동 1147-1)대구광역시 동구 첨단로8길 5 드림타워(4F, 신서동 1147-1)100656410050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음서미선053-254-85722020-03-18
54신제이와이렌트카(주)주사업장대구광역시 서구 평리로 190(내당동)대구광역시 서구 내당동 410-635.860203128.544804대구광역시 달서구 이곡서로 21, 청우주차빌딩 4F (이곡동)대구광역시 달서구 이곡서로 21, 청우주차빌딩 4F (이곡동)100544860050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음김진용053-556-09012020-03-18
55㈜원렌터카주사업장대구광역시 동구 동촌로 346, 109동 102호(호계동, 우박백자아파트상가)대구광역시 동구 용계동 42235.876727128.677262경상북도 영천시 화룡동 88-3경상북도 영천시 화룡동 88-3100535300050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음공병호053-719-04052020-03-18
56㈜에이스렌트카주사업장대구광역시 달서구 구마로52안길 57, 105동 비02호(송현동, 송현제림아파트)대구광역시 달서구 송현동 11035.834115128.550805대구광역시 서구 가르뱅이로16길 15-3(상리동)대구광역시 서구 상리동 90-61006230230050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음임기원053-525-41882020-03-18
57㈜플러스렌트카주사업장대구광역시 수성구 파동로 97(파동)대구광역시 수성구 파동 200-1035.812305128.617107대구광역시 달서구 죽전동 216-19대구광역시 달서구 죽전동 216-19100300030050000600007000010000012000030000025000010:0021:0013:0021:0013:0021:00명절없음임기원053-768-99042020-03-18