Overview

Dataset statistics

Number of variables31
Number of observations175
Missing cells334
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory44.4 KiB
Average record size in memory259.7 B

Variable types

Text6
Categorical18
Numeric7

Dataset

Description대구광역시_중구_주차장정보_20190621
Author대구광역시 중구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3075435&dataSetDetailId=30754351d29d6353d463_201910021428&provdMethod=FILE

Alerts

급지구분 has constant value ""Constant
부제시행구분 has constant value ""Constant
요금정보 has constant value ""Constant
데이터기준일자 has constant value ""Constant
주차장유형 is highly imbalanced (54.0%)Imbalance
운영요일 is highly imbalanced (57.2%)Imbalance
공휴일운영시작시각 is highly imbalanced (79.4%)Imbalance
공휴일운영종료시각 is highly imbalanced (75.6%)Imbalance
주차기본시간 is highly imbalanced (50.5%)Imbalance
1일주차권요금적용시간 is highly imbalanced (70.1%)Imbalance
결제방법 is highly imbalanced (88.6%)Imbalance
추가단위요금 has 48 (27.4%) missing valuesMissing
1일주차권요금 has 141 (80.6%) missing valuesMissing
월정기권요금 has 145 (82.9%) missing valuesMissing
주차장관리번호 has unique valuesUnique
위도 has unique valuesUnique
주차기본요금 has 2 (1.1%) zerosZeros

Reproduction

Analysis started2024-04-20 12:48:08.382436
Analysis finished2024-04-20 12:48:09.081351
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-20T21:48:09.811817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2100
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

Unique175 ?
Unique (%)100.0%

Sample

1st row150-4-000147
2nd row150-4-000148
3rd row150-4-000149
4th row150-4-000150
5th row150-4-000151
ValueCountFrequency (%)
150-4-000147 1
 
0.6%
150-4-000082 1
 
0.6%
150-4-000084 1
 
0.6%
150-4-000085 1
 
0.6%
150-4-000086 1
 
0.6%
150-4-000087 1
 
0.6%
150-4-000088 1
 
0.6%
150-4-000089 1
 
0.6%
150-4-000090 1
 
0.6%
150-4-000091 1
 
0.6%
Other values (165) 165
94.3%
2024-04-20T21:48:11.373075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 835
39.8%
- 350
16.7%
1 306
 
14.6%
5 213
 
10.1%
4 189
 
9.0%
2 45
 
2.1%
3 38
 
1.8%
6 37
 
1.8%
7 33
 
1.6%
8 27
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1750
83.3%
Dash Punctuation 350
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 835
47.7%
1 306
 
17.5%
5 213
 
12.2%
4 189
 
10.8%
2 45
 
2.6%
3 38
 
2.2%
6 37
 
2.1%
7 33
 
1.9%
8 27
 
1.5%
9 27
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 835
39.8%
- 350
16.7%
1 306
 
14.6%
5 213
 
10.1%
4 189
 
9.0%
2 45
 
2.1%
3 38
 
1.8%
6 37
 
1.8%
7 33
 
1.6%
8 27
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 835
39.8%
- 350
16.7%
1 306
 
14.6%
5 213
 
10.1%
4 189
 
9.0%
2 45
 
2.1%
3 38
 
1.8%
6 37
 
1.8%
7 33
 
1.6%
8 27
 
1.3%

주차장명
Text

Distinct149
Distinct (%)85.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-20T21:48:12.120096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length7
Mean length8.1828571
Min length5

Characters and Unicode

Total characters1432
Distinct characters165
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)74.3%

Sample

1st row계림유료주차장
2nd row대광유료주차장
3rd row대양유료주차장
4th row라이프유료주차장
5th row대명유료주차장
ValueCountFrequency (%)
노상주차장 16
 
7.4%
주변 6
 
2.8%
부근 4
 
1.9%
경북유료주차장 3
 
1.4%
외 3
 
1.4%
1개소 3
 
1.4%
한일유료주차장 3
 
1.4%
현대유료주차장 3
 
1.4%
삼덕유료주차장 3
 
1.4%
덕영유료주차장 3
 
1.4%
Other values (150) 168
78.1%
2024-04-20T21:48:13.672321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 185
12.9%
장 178
 
12.4%
차 176
 
12.3%
유 148
 
10.3%
료 148
 
10.3%
40
 
2.8%
대 28
 
2.0%
동 28
 
2.0%
성 21
 
1.5%
상 18
 
1.3%
Other values (155) 462
32.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1380
96.4%
Space Separator 40
 
2.8%
Decimal Number 8
 
0.6%
Uppercase Letter 4
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 185
13.4%
장 178
12.9%
차 176
12.8%
유 148
 
10.7%
료 148
 
10.7%
대 28
 
2.0%
동 28
 
2.0%
성 21
 
1.5%
상 18
 
1.3%
노 17
 
1.2%
Other values (147) 433
31.4%
Uppercase Letter
ValueCountFrequency (%)
S 1
25.0%
G 1
25.0%
Z 1
25.0%
D 1
25.0%
Decimal Number
ValueCountFrequency (%)
1 4
50.0%
2 3
37.5%
4 1
 
12.5%
Space Separator
ValueCountFrequency (%)
40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1380
96.4%
Common 48
 
3.4%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 185
13.4%
장 178
12.9%
차 176
12.8%
유 148
 
10.7%
료 148
 
10.7%
대 28
 
2.0%
동 28
 
2.0%
성 21
 
1.5%
상 18
 
1.3%
노 17
 
1.2%
Other values (147) 433
31.4%
Common
ValueCountFrequency (%)
40
83.3%
1 4
 
8.3%
2 3
 
6.2%
4 1
 
2.1%
Latin
ValueCountFrequency (%)
S 1
25.0%
G 1
25.0%
Z 1
25.0%
D 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1380
96.4%
ASCII 52
 
3.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 185
13.4%
장 178
12.9%
차 176
12.8%
유 148
 
10.7%
료 148
 
10.7%
대 28
 
2.0%
동 28
 
2.0%
성 21
 
1.5%
상 18
 
1.3%
노 17
 
1.2%
Other values (147) 433
31.4%
ASCII
ValueCountFrequency (%)
40
76.9%
1 4
 
7.7%
2 3
 
5.8%
4 1
 
1.9%
S 1
 
1.9%
G 1
 
1.9%
Z 1
 
1.9%
D 1
 
1.9%

주차장구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
민영
151 
공영
24 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민영 151
86.3%
공영 24
 
13.7%

Length

2024-04-20T21:48:14.108022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:14.440711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민영 151
86.3%
공영 24
 
13.7%

주차장유형
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
노외
158 
노상
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노외 158
90.3%
노상 17
 
9.7%

Length

2024-04-20T21:48:14.797889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:15.127239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 158
90.3%
노상 17
 
9.7%

소재지도로명주소
Text

Distinct174
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-20T21:48:16.195105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length20.154286
Min length14

Characters and Unicode

Total characters3527
Distinct characters68
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)98.9%

Sample

1st row대구광역시 중구 국채보상로 570-17
2nd row대구광역시 중구 국채보상로140길 32
3rd row대구광역시 중구 큰장로24안길 16(대신동)
4th row대구광역시 중구 태평로 177
5th row대구광역시 중구 동덕로 103
ValueCountFrequency (%)
대구광역시 175
24.7%
중구 175
24.7%
경상감영길 10
 
1.4%
국채보상로 9
 
1.3%
동덕로 8
 
1.1%
공평로 8
 
1.1%
북성로 7
 
1.0%
태평로 7
 
1.0%
중앙대로 6
 
0.8%
중앙대로79길 5
 
0.7%
Other values (221) 298
42.1%
2024-04-20T21:48:17.765670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
533
15.1%
구 356
 
10.1%
대 208
 
5.9%
중 192
 
5.4%
시 176
 
5.0%
광 175
 
5.0%
역 175
 
5.0%
로 166
 
4.7%
1 155
 
4.4%
길 109
 
3.1%
Other values (58) 1282
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2184
61.9%
Decimal Number 640
 
18.1%
Space Separator 533
 
15.1%
Close Punctuation 67
 
1.9%
Open Punctuation 67
 
1.9%
Dash Punctuation 36
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 356
16.3%
대 208
9.5%
중 192
8.8%
시 176
 
8.1%
광 175
 
8.0%
역 175
 
8.0%
로 166
 
7.6%
길 109
 
5.0%
동 96
 
4.4%
성 62
 
2.8%
Other values (44) 469
21.5%
Decimal Number
ValueCountFrequency (%)
1 155
24.2%
2 100
15.6%
4 73
11.4%
3 66
10.3%
0 46
 
7.2%
5 45
 
7.0%
8 39
 
6.1%
9 39
 
6.1%
7 39
 
6.1%
6 38
 
5.9%
Space Separator
ValueCountFrequency (%)
533
100.0%
Close Punctuation
ValueCountFrequency (%)
) 67
100.0%
Open Punctuation
ValueCountFrequency (%)
( 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2184
61.9%
Common 1343
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 356
16.3%
대 208
9.5%
중 192
8.8%
시 176
 
8.1%
광 175
 
8.0%
역 175
 
8.0%
로 166
 
7.6%
길 109
 
5.0%
동 96
 
4.4%
성 62
 
2.8%
Other values (44) 469
21.5%
Common
ValueCountFrequency (%)
533
39.7%
1 155
 
11.5%
2 100
 
7.4%
4 73
 
5.4%
) 67
 
5.0%
( 67
 
5.0%
3 66
 
4.9%
0 46
 
3.4%
5 45
 
3.4%
8 39
 
2.9%
Other values (4) 152
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2184
61.9%
ASCII 1343
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
533
39.7%
1 155
 
11.5%
2 100
 
7.4%
4 73
 
5.4%
) 67
 
5.0%
( 67
 
5.0%
3 66
 
4.9%
0 46
 
3.4%
5 45
 
3.4%
8 39
 
2.9%
Other values (4) 152
 
11.3%
Hangul
ValueCountFrequency (%)
구 356
16.3%
대 208
9.5%
중 192
8.8%
시 176
 
8.1%
광 175
 
8.0%
역 175
 
8.0%
로 166
 
7.6%
길 109
 
5.0%
동 96
 
4.4%
성 62
 
2.8%
Other values (44) 469
21.5%

소재지지번주소
Text

Distinct174
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-20T21:48:19.148275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length17.851429
Min length14

Characters and Unicode

Total characters3124
Distinct characters58
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

Unique173 ?
Unique (%)98.9%

Sample

1st row대구광역시 중구 전동 58
2nd row대구광역시 중구 동인동4가 184
3rd row대구광역시 중구 대신동 273-6
4th row대구광역시 중구 태평로1가 1-187
5th row대구광역시 중구 삼덕동2가 205
ValueCountFrequency (%)
대구광역시 175
25.0%
중구 175
25.0%
삼덕동2가 16
 
2.3%
남산동 12
 
1.7%
봉산동 11
 
1.6%
대신동 11
 
1.6%
삼덕동1가 8
 
1.1%
동인동1가 6
 
0.9%
동인동2가 6
 
0.9%
수창동 6
 
0.9%
Other values (200) 274
39.1%
2024-04-20T21:48:20.978416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
525
16.8%
구 350
11.2%
대 194
 
6.2%
시 177
 
5.7%
1 177
 
5.7%
광 175
 
5.6%
역 175
 
5.6%
중 175
 
5.6%
동 173
 
5.5%
- 133
 
4.3%
Other values (48) 870
27.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1814
58.1%
Decimal Number 651
 
20.8%
Space Separator 525
 
16.8%
Dash Punctuation 133
 
4.3%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 350
19.3%
대 194
10.7%
시 177
9.8%
광 175
9.6%
역 175
9.6%
중 175
9.6%
동 173
9.5%
가 74
 
4.1%
로 32
 
1.8%
산 31
 
1.7%
Other values (35) 258
14.2%
Decimal Number
ValueCountFrequency (%)
1 177
27.2%
2 121
18.6%
3 52
 
8.0%
4 49
 
7.5%
5 49
 
7.5%
8 48
 
7.4%
6 43
 
6.6%
9 39
 
6.0%
7 39
 
6.0%
0 34
 
5.2%
Space Separator
ValueCountFrequency (%)
525
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 133
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1814
58.1%
Common 1310
41.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 350
19.3%
대 194
10.7%
시 177
9.8%
광 175
9.6%
역 175
9.6%
중 175
9.6%
동 173
9.5%
가 74
 
4.1%
로 32
 
1.8%
산 31
 
1.7%
Other values (35) 258
14.2%
Common
ValueCountFrequency (%)
525
40.1%
1 177
 
13.5%
- 133
 
10.2%
2 121
 
9.2%
3 52
 
4.0%
4 49
 
3.7%
5 49
 
3.7%
8 48
 
3.7%
6 43
 
3.3%
9 39
 
3.0%
Other values (3) 74
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1814
58.1%
ASCII 1310
41.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
525
40.1%
1 177
 
13.5%
- 133
 
10.2%
2 121
 
9.2%
3 52
 
4.0%
4 49
 
3.7%
5 49
 
3.7%
8 48
 
3.7%
6 43
 
3.3%
9 39
 
3.0%
Other values (3) 74
 
5.6%
Hangul
ValueCountFrequency (%)
구 350
19.3%
대 194
10.7%
시 177
9.8%
광 175
9.6%
역 175
9.6%
중 175
9.6%
동 173
9.5%
가 74
 
4.1%
로 32
 
1.8%
산 31
 
1.7%
Other values (35) 258
14.2%

주차구획수
Real number (ℝ)

Distinct65
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.382857
Minimum5
Maximum305
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-20T21:48:21.386083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile10
Q117
median27
Q345
95-th percentile144.8
Maximum305
Range300
Interquartile range (IQR)28

Descriptive statistics

Standard deviation54.736849
Coefficient of variation (CV)1.2617161
Kurtosis12.238693
Mean43.382857
Median Absolute Deviation (MAD)12
Skewness3.3965645
Sum7592
Variance2996.1227
MonotonicityNot monotonic
2024-04-20T21:48:21.822489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 16
 
9.1%
30 14
 
8.0%
10 10
 
5.7%
15 9
 
5.1%
50 8
 
4.6%
35 6
 
3.4%
18 6
 
3.4%
25 6
 
3.4%
17 5
 
2.9%
11 5
 
2.9%
Other values (55) 90
51.4%
ValueCountFrequency (%)
5 1
 
0.6%
7 2
 
1.1%
8 3
 
1.7%
10 10
5.7%
11 5
2.9%
12 4
 
2.3%
13 3
 
1.7%
14 3
 
1.7%
15 9
5.1%
16 3
 
1.7%
ValueCountFrequency (%)
305 1
0.6%
300 2
1.1%
297 1
0.6%
282 1
0.6%
208 1
0.6%
200 1
0.6%
194 1
0.6%
170 1
0.6%
134 1
0.6%
129 1
0.6%

급지구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1
175 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 175
100.0%

Length

2024-04-20T21:48:22.212407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:22.635095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 175
100.0%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
미시행
175 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미시행 175
100.0%

Length

2024-04-20T21:48:22.978750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:23.296371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 175
100.0%

운영요일
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
평일+토요일
151 
평일+토요일+공휴일
19 
평일
 
5

Length

Max length10
Median length6
Mean length6.32
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평일+토요일
2nd row평일+토요일
3rd row평일+토요일
4th row평일+토요일
5th row평일+토요일

Common Values

ValueCountFrequency (%)
평일+토요일 151
86.3%
평일+토요일+공휴일 19
 
10.9%
평일 5
 
2.9%

Length

2024-04-20T21:48:23.517848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:23.720334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일 151
86.3%
평일+토요일+공휴일 19
 
10.9%
평일 5
 
2.9%

평일운영시작시각
Categorical

Distinct16
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
08:00
70 
09:00
39 
07:00
13 
10:00
12 
00:00
10 
Other values (11)
31 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique6 ?
Unique (%)3.4%

Sample

1st row09:00
2nd row09:00
3rd row09:00
4th row07:00
5th row09:00

Common Values

ValueCountFrequency (%)
08:00 70
40.0%
09:00 39
22.3%
07:00 13
 
7.4%
10:00 12
 
6.9%
00:00 10
 
5.7%
07:30 9
 
5.1%
08:30 8
 
4.6%
09:30 3
 
1.7%
06:00 3
 
1.7%
11:00 2
 
1.1%
Other values (6) 6
 
3.4%

Length

2024-04-20T21:48:23.928767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
08:00 70
40.0%
09:00 39
22.3%
07:00 13
 
7.4%
10:00 12
 
6.9%
00:00 10
 
5.7%
07:30 9
 
5.1%
08:30 8
 
4.6%
09:30 3
 
1.7%
06:00 3
 
1.7%
11:00 2
 
1.1%
Other values (6) 6
 
3.4%

평일운영종료시각
Categorical

Distinct18
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
20:00
40 
18:00
28 
22:00
19 
23:59
19 
19:00
17 
Other values (13)
52 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)1.7%

Sample

1st row21:00
2nd row18:00
3rd row18:00
4th row20:00
5th row18:00

Common Values

ValueCountFrequency (%)
20:00 40
22.9%
18:00 28
16.0%
22:00 19
10.9%
23:59 19
10.9%
19:00 17
9.7%
21:00 16
 
9.1%
23:00 14
 
8.0%
20:30 4
 
2.3%
19:30 3
 
1.7%
23:30 2
 
1.1%
Other values (8) 13
 
7.4%

Length

2024-04-20T21:48:24.306157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 40
22.9%
18:00 28
16.0%
22:00 19
10.9%
23:59 19
10.9%
19:00 17
9.7%
21:00 16
 
9.1%
23:00 14
 
8.0%
20:30 4
 
2.3%
19:30 3
 
1.7%
18:30 2
 
1.1%
Other values (8) 13
 
7.4%

토요일운영시작시각
Categorical

Distinct15
Distinct (%)8.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
08:00
66 
09:00
37 
00:00
16 
07:00
13 
10:00
12 
Other values (10)
31 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique5 ?
Unique (%)2.9%

Sample

1st row09:00
2nd row09:00
3rd row09:00
4th row07:00
5th row09:00

Common Values

ValueCountFrequency (%)
08:00 66
37.7%
09:00 37
21.1%
00:00 16
 
9.1%
07:00 13
 
7.4%
10:00 12
 
6.9%
08:30 9
 
5.1%
07:30 9
 
5.1%
09:30 3
 
1.7%
06:00 3
 
1.7%
11:00 2
 
1.1%
Other values (5) 5
 
2.9%

Length

2024-04-20T21:48:24.758568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
08:00 66
37.7%
09:00 37
21.1%
00:00 16
 
9.1%
07:00 13
 
7.4%
10:00 12
 
6.9%
08:30 9
 
5.1%
07:30 9
 
5.1%
09:30 3
 
1.7%
06:00 3
 
1.7%
11:00 2
 
1.1%
Other values (5) 5
 
2.9%

토요일운영종료시각
Categorical

Distinct18
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
20:00
35 
18:00
28 
22:00
20 
23:59
19 
19:00
17 
Other values (13)
56 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)1.7%

Sample

1st row21:00
2nd row18:00
3rd row18:00
4th row20:00
5th row18:00

Common Values

ValueCountFrequency (%)
20:00 35
20.0%
18:00 28
16.0%
22:00 20
11.4%
23:59 19
10.9%
19:00 17
9.7%
21:00 15
8.6%
23:00 13
 
7.4%
00:00 8
 
4.6%
20:30 4
 
2.3%
19:30 3
 
1.7%
Other values (8) 13
 
7.4%

Length

2024-04-20T21:48:25.167689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 35
20.0%
18:00 28
16.0%
22:00 20
11.4%
23:59 19
10.9%
19:00 17
9.7%
21:00 15
8.6%
23:00 13
 
7.4%
00:00 8
 
4.6%
20:30 4
 
2.3%
19:30 3
 
1.7%
Other values (8) 13
 
7.4%

공휴일운영시작시각
Categorical

IMBALANCE 

Distinct7
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
00:00
161 
08:00
 
6
10:00
 
3
09:00
 
2
11:00
 
1
Other values (2)
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique3 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 161
92.0%
08:00 6
 
3.4%
10:00 3
 
1.7%
09:00 2
 
1.1%
11:00 1
 
0.6%
06:00 1
 
0.6%
07:00 1
 
0.6%

Length

2024-04-20T21:48:25.591194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:25.951715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 161
92.0%
08:00 6
 
3.4%
10:00 3
 
1.7%
09:00 2
 
1.1%
11:00 1
 
0.6%
06:00 1
 
0.6%
07:00 1
 
0.6%

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct8
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
00:00
157 
23:59
 
7
20:00
 
3
22:00
 
2
01:00
 
2
Other values (3)
 
4

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
00:00 157
89.7%
23:59 7
 
4.0%
20:00 3
 
1.7%
22:00 2
 
1.1%
01:00 2
 
1.1%
23:00 2
 
1.1%
21:30 1
 
0.6%
18:00 1
 
0.6%

Length

2024-04-20T21:48:26.367762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:26.946821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00 157
89.7%
23:59 7
 
4.0%
20:00 3
 
1.7%
22:00 2
 
1.1%
01:00 2
 
1.1%
23:00 2
 
1.1%
21:30 1
 
0.6%
18:00 1
 
0.6%

요금정보
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
유료
175 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
유료 175
100.0%

Length

2024-04-20T21:48:27.413043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:27.752696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유료 175
100.0%

주차기본시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
30
140 
60
33 
0
 
2

Length

Max length2
Median length2
Mean length1.9885714
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row30
3rd row30
4th row30
5th row60

Common Values

ValueCountFrequency (%)
30 140
80.0%
60 33
 
18.9%
0 2
 
1.1%

Length

2024-04-20T21:48:28.126449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:28.441358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 140
80.0%
60 33
 
18.9%
0 2
 
1.1%

주차기본요금
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1033.1429
Minimum0
Maximum2000
Zeros2
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-20T21:48:28.687090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile500
Q11000
median1000
Q31000
95-th percentile1500
Maximum2000
Range2000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation282.31159
Coefficient of variation (CV)0.27325514
Kurtosis5.298621
Mean1033.1429
Median Absolute Deviation (MAD)0
Skewness0.8321797
Sum180800
Variance79699.836
MonotonicityNot monotonic
2024-04-20T21:48:29.051911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1000 137
78.3%
1500 14
 
8.0%
500 8
 
4.6%
2000 6
 
3.4%
800 4
 
2.3%
600 2
 
1.1%
0 2
 
1.1%
1200 2
 
1.1%
ValueCountFrequency (%)
0 2
 
1.1%
500 8
 
4.6%
600 2
 
1.1%
800 4
 
2.3%
1000 137
78.3%
1200 2
 
1.1%
1500 14
 
8.0%
2000 6
 
3.4%
ValueCountFrequency (%)
2000 6
 
3.4%
1500 14
 
8.0%
1200 2
 
1.1%
1000 137
78.3%
800 4
 
2.3%
600 2
 
1.1%
500 8
 
4.6%
0 2
 
1.1%

추가단위시간
Categorical

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
30
65 
<NA>
48 
10
31 
60
28 
15
 
3

Length

Max length4
Median length2
Mean length2.5485714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row60
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row60

Common Values

ValueCountFrequency (%)
30 65
37.1%
<NA> 48
27.4%
10 31
17.7%
60 28
16.0%
15 3
 
1.7%

Length

2024-04-20T21:48:29.296772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:29.517718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30 65
37.1%
na 48
27.4%
10 31
17.7%
60 28
16.0%
15 3
 
1.7%

추가단위요금
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)7.1%
Missing48
Missing (%)27.4%
Infinite0
Infinite (%)0.0%
Mean890.55118
Minimum200
Maximum2000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-20T21:48:29.707909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile250
Q1500
median1000
Q31000
95-th percentile1500
Maximum2000
Range1800
Interquartile range (IQR)500

Descriptive statistics

Standard deviation361.31002
Coefficient of variation (CV)0.40571506
Kurtosis0.44774754
Mean890.55118
Median Absolute Deviation (MAD)0
Skewness0.17358284
Sum113100
Variance130544.93
MonotonicityNot monotonic
2024-04-20T21:48:29.906052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
1000 74
42.3%
500 24
 
13.7%
1500 12
 
6.9%
250 8
 
4.6%
300 3
 
1.7%
600 2
 
1.1%
2000 2
 
1.1%
200 1
 
0.6%
800 1
 
0.6%
(Missing) 48
27.4%
ValueCountFrequency (%)
200 1
 
0.6%
250 8
 
4.6%
300 3
 
1.7%
500 24
 
13.7%
600 2
 
1.1%
800 1
 
0.6%
1000 74
42.3%
1500 12
 
6.9%
2000 2
 
1.1%
ValueCountFrequency (%)
2000 2
 
1.1%
1500 12
 
6.9%
1000 74
42.3%
800 1
 
0.6%
600 2
 
1.1%
500 24
 
13.7%
300 3
 
1.7%
250 8
 
4.6%
200 1
 
0.6%

1일주차권요금적용시간
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
150 
4
22 
5
 
1
10
 
1
8
 
1

Length

Max length4
Median length4
Mean length3.5771429
Min length1

Unique

Unique3 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 150
85.7%
4 22
 
12.6%
5 1
 
0.6%
10 1
 
0.6%
8 1
 
0.6%

Length

2024-04-20T21:48:30.277796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:30.629733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 150
85.7%
4 22
 
12.6%
5 1
 
0.6%
10 1
 
0.6%
8 1
 
0.6%

1일주차권요금
Real number (ℝ)

MISSING 

Distinct7
Distinct (%)20.6%
Missing141
Missing (%)80.6%
Infinite0
Infinite (%)0.0%
Mean9735.2941
Minimum3000
Maximum50000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-20T21:48:30.944290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3000
5-th percentile5000
Q15500
median10000
Q310000
95-th percentile11750
Maximum50000
Range47000
Interquartile range (IQR)4500

Descriptive statistics

Standard deviation7565.1066
Coefficient of variation (CV)0.77708044
Kurtosis25.955018
Mean9735.2941
Median Absolute Deviation (MAD)0
Skewness4.777178
Sum331000
Variance57230838
MonotonicityNot monotonic
2024-04-20T21:48:31.181581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
10000 20
 
11.4%
5000 8
 
4.6%
8000 2
 
1.1%
7000 1
 
0.6%
3000 1
 
0.6%
50000 1
 
0.6%
15000 1
 
0.6%
(Missing) 141
80.6%
ValueCountFrequency (%)
3000 1
 
0.6%
5000 8
 
4.6%
7000 1
 
0.6%
8000 2
 
1.1%
10000 20
11.4%
15000 1
 
0.6%
50000 1
 
0.6%
ValueCountFrequency (%)
50000 1
 
0.6%
15000 1
 
0.6%
10000 20
11.4%
8000 2
 
1.1%
7000 1
 
0.6%
5000 8
 
4.6%
3000 1
 
0.6%

월정기권요금
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)20.0%
Missing145
Missing (%)82.9%
Infinite0
Infinite (%)0.0%
Mean86000
Minimum50000
Maximum120000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-20T21:48:31.452334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50000
5-th percentile50000
Q162500
median100000
Q3100000
95-th percentile100000
Maximum120000
Range70000
Interquartile range (IQR)37500

Descriptive statistics

Standard deviation22682.212
Coefficient of variation (CV)0.26374666
Kurtosis-1.0380129
Mean86000
Median Absolute Deviation (MAD)0
Skewness-0.81378504
Sum2580000
Variance5.1448276 × 108
MonotonicityNot monotonic
2024-04-20T21:48:31.761680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
100000 19
 
10.9%
50000 7
 
4.0%
80000 1
 
0.6%
60000 1
 
0.6%
120000 1
 
0.6%
70000 1
 
0.6%
(Missing) 145
82.9%
ValueCountFrequency (%)
50000 7
 
4.0%
60000 1
 
0.6%
70000 1
 
0.6%
80000 1
 
0.6%
100000 19
10.9%
120000 1
 
0.6%
ValueCountFrequency (%)
120000 1
 
0.6%
100000 19
10.9%
80000 1
 
0.6%
70000 1
 
0.6%
60000 1
 
0.6%
50000 7
 
4.0%

결제방법
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
현금
171 
현금+신용카드
 
2
신용카드
 
2

Length

Max length7
Median length2
Mean length2.08
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
현금 171
97.7%
현금+신용카드 2
 
1.1%
신용카드 2
 
1.1%

Length

2024-04-20T21:48:31.982301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:32.191571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
현금 171
97.7%
현금+신용카드 2
 
1.1%
신용카드 2
 
1.1%

특기사항
Categorical

Distinct16
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
112 
경차,장애인,국가유공자 할인
23 
1시간 2,000원
 
11
1시간 1,500원
 
9
1시간 2,200원
 
4
Other values (11)
16 

Length

Max length29
Median length4
Mean length7.1085714
Min length4

Unique

Unique7 ?
Unique (%)4.0%

Sample

1st row<NA>
2nd row1시간 2,500원
3rd row1시간 1,500원
4th row1시간 2,000원
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 112
64.0%
경차,장애인,국가유공자 할인 23
 
13.1%
1시간 2,000원 11
 
6.3%
1시간 1,500원 9
 
5.1%
1시간 2,200원 4
 
2.3%
1시간 1,900원 3
 
1.7%
1시간 2,500원 2
 
1.1%
1시간 1,200원 2
 
1.1%
1시간 2,000원2시간 3,000원 2
 
1.1%
2시간 2,000원 1
 
0.6%
Other values (6) 6
 
3.4%

Length

2024-04-20T21:48:32.616906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 112
45.3%
1시간 37
 
15.0%
할인 23
 
9.3%
경차,장애인,국가유공자 23
 
9.3%
2,000원 12
 
4.9%
1,500원 9
 
3.6%
2,200원 4
 
1.6%
3,000원 4
 
1.6%
2,000원2시간 3
 
1.2%
1,900원 3
 
1.2%
Other values (14) 17
 
6.9%

관리기관명
Text

Distinct126
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-20T21:48:33.711817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length7.5542857
Min length5

Characters and Unicode

Total characters1322
Distinct characters133
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)60.6%

Sample

1st row계림유료주차장
2nd row대광유료주차장
3rd row대양유료주차장
4th row라이프유료주차장
5th row대명유료주차장
ValueCountFrequency (%)
대구광역시 24
 
12.0%
중구청 24
 
12.0%
봉산유료주차장 3
 
1.5%
경북유료주차장 3
 
1.5%
삼덕유료주차장 3
 
1.5%
현대유료주차장 3
 
1.5%
덕영유료주차장 3
 
1.5%
한일유료주차장 3
 
1.5%
대구유료주차장 3
 
1.5%
승리유료주차장 2
 
1.0%
Other values (118) 129
64.5%
2024-04-20T21:48:35.099923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 152
 
11.5%
주 151
 
11.4%
차 150
 
11.3%
료 148
 
11.2%
유 148
 
11.2%
구 53
 
4.0%
대 48
 
3.6%
중 30
 
2.3%
광 29
 
2.2%
시 28
 
2.1%
Other values (123) 385
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1290
97.6%
Space Separator 25
 
1.9%
Uppercase Letter 4
 
0.3%
Decimal Number 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 152
11.8%
주 151
11.7%
차 150
11.6%
료 148
11.5%
유 148
11.5%
구 53
 
4.1%
대 48
 
3.7%
중 30
 
2.3%
광 29
 
2.2%
시 28
 
2.2%
Other values (117) 353
27.4%
Uppercase Letter
ValueCountFrequency (%)
G 1
25.0%
S 1
25.0%
Z 1
25.0%
D 1
25.0%
Space Separator
ValueCountFrequency (%)
25
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1290
97.6%
Common 28
 
2.1%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 152
11.8%
주 151
11.7%
차 150
11.6%
료 148
11.5%
유 148
11.5%
구 53
 
4.1%
대 48
 
3.7%
중 30
 
2.3%
광 29
 
2.2%
시 28
 
2.2%
Other values (117) 353
27.4%
Latin
ValueCountFrequency (%)
G 1
25.0%
S 1
25.0%
Z 1
25.0%
D 1
25.0%
Common
ValueCountFrequency (%)
25
89.3%
2 3
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1290
97.6%
ASCII 32
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 152
11.8%
주 151
11.7%
차 150
11.6%
료 148
11.5%
유 148
11.5%
구 53
 
4.1%
대 48
 
3.7%
중 30
 
2.3%
광 29
 
2.2%
시 28
 
2.2%
Other values (117) 353
27.4%
ASCII
ValueCountFrequency (%)
25
78.1%
2 3
 
9.4%
G 1
 
3.1%
S 1
 
3.1%
Z 1
 
3.1%
D 1
 
3.1%

전화번호
Text

Distinct91
Distinct (%)52.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-04-20T21:48:36.078214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2100
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

Unique87 ?
Unique (%)49.7%

Sample

1st row053-123-4567
2nd row053-428-7177
3rd row053-253-6999
4th row053-123-4567
5th row053-123-4567
ValueCountFrequency (%)
053-123-4567 63
36.0%
053-661-3173 21
 
12.0%
053-255-0525 2
 
1.1%
053-661-3174 2
 
1.1%
053-253-1157 1
 
0.6%
053-422-8700 1
 
0.6%
053-424-7994 1
 
0.6%
053-257-0132 1
 
0.6%
053-422-6415 1
 
0.6%
053-421-6696 1
 
0.6%
Other values (81) 81
46.3%
2024-04-20T21:48:37.243898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 350
16.7%
5 338
16.1%
3 334
15.9%
0 225
10.7%
2 185
8.8%
4 163
7.8%
6 157
7.5%
1 151
7.2%
7 140
 
6.7%
8 35
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1750
83.3%
Dash Punctuation 350
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 338
19.3%
3 334
19.1%
0 225
12.9%
2 185
10.6%
4 163
9.3%
6 157
9.0%
1 151
8.6%
7 140
8.0%
8 35
 
2.0%
9 22
 
1.3%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2100
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 350
16.7%
5 338
16.1%
3 334
15.9%
0 225
10.7%
2 185
8.8%
4 163
7.8%
6 157
7.5%
1 151
7.2%
7 140
 
6.7%
8 35
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2100
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 350
16.7%
5 338
16.1%
3 334
15.9%
0 225
10.7%
2 185
8.8%
4 163
7.8%
6 157
7.5%
1 151
7.2%
7 140
 
6.7%
8 35
 
1.7%

위도
Real number (ℝ)

UNIQUE 

Distinct175
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.868877
Minimum35.855715
Maximum35.876047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-20T21:48:37.507606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.855715
5-th percentile35.859976
Q135.866251
median35.869525
Q335.872227
95-th percentile35.874925
Maximum35.876047
Range0.020331856
Interquartile range (IQR)0.0059762014

Descriptive statistics

Standard deviation0.0045844236
Coefficient of variation (CV)0.00012781063
Kurtosis0.076767619
Mean35.868877
Median Absolute Deviation (MAD)0.003201315
Skewness-0.69697596
Sum6277.0535
Variance2.101694 × 10-5
MonotonicityNot monotonic
2024-04-20T21:48:37.792508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.8700265278 1
 
0.6%
35.867472 1
 
0.6%
35.867491 1
 
0.6%
35.8670094217 1
 
0.6%
35.8571897153 1
 
0.6%
35.8706325964 1
 
0.6%
35.8643887638 1
 
0.6%
35.872123 1
 
0.6%
35.866856 1
 
0.6%
35.8749695 1
 
0.6%
Other values (165) 165
94.3%
ValueCountFrequency (%)
35.8557152445 1
0.6%
35.8559969009 1
0.6%
35.8569238297 1
0.6%
35.8571897153 1
0.6%
35.8572699787 1
0.6%
35.8587307 1
0.6%
35.8590349679 1
0.6%
35.8593011817 1
0.6%
35.8597440714 1
0.6%
35.860076 1
0.6%
ValueCountFrequency (%)
35.8760471 1
0.6%
35.8759801432 1
0.6%
35.8757428532 1
0.6%
35.87569661 1
0.6%
35.875595 1
0.6%
35.875174 1
0.6%
35.875125 1
0.6%
35.8750333074 1
0.6%
35.8749695 1
0.6%
35.8749066243 1
0.6%

경도
Real number (ℝ)

Distinct174
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59393
Minimum128.5742
Maximum128.61248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-04-20T21:48:38.078995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.5742
5-th percentile128.58016
Q1128.58905
median128.59374
Q3128.59963
95-th percentile128.60599
Maximum128.61248
Range0.038289486
Interquartile range (IQR)0.010580157

Descriptive statistics

Standard deviation0.0079613341
Coefficient of variation (CV)6.1910652 × 10-5
Kurtosis-0.35056366
Mean128.59393
Median Absolute Deviation (MAD)0.0057010684
Skewness-0.29878971
Sum22503.938
Variance6.338284 × 10-5
MonotonicityNot monotonic
2024-04-20T21:48:38.351699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.60599072 2
 
1.1%
128.5937441007 1
 
0.6%
128.582753 1
 
0.6%
128.5946497682 1
 
0.6%
128.591995574 1
 
0.6%
128.6008382887 1
 
0.6%
128.574195 1
 
0.6%
128.5982962144 1
 
0.6%
128.600173 1
 
0.6%
128.5928608 1
 
0.6%
Other values (164) 164
93.7%
ValueCountFrequency (%)
128.574195 1
0.6%
128.5743671197 1
0.6%
128.5759201177 1
0.6%
128.5763895472 1
0.6%
128.5767540094 1
0.6%
128.576874 1
0.6%
128.5787445633 1
0.6%
128.579693 1
0.6%
128.5799536753 1
0.6%
128.5802492339 1
0.6%
ValueCountFrequency (%)
128.6124844855 1
0.6%
128.610727 1
0.6%
128.609621 1
0.6%
128.606521 1
0.6%
128.606406587 1
0.6%
128.6063962 1
0.6%
128.6063027862 1
0.6%
128.6062692 1
0.6%
128.60599072 2
1.1%
128.6058385189 1
0.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2019-06-21
175 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-06-21
2nd row2019-06-21
3rd row2019-06-21
4th row2019-06-21
5th row2019-06-21

Common Values

ValueCountFrequency (%)
2019-06-21 175
100.0%

Length

2024-04-20T21:48:38.607835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-20T21:48:38.822390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-06-21 175
100.0%

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
0150-4-000147계림유료주차장민영노외대구광역시 중구 국채보상로 570-17대구광역시 중구 전동 58161미시행평일+토요일09:0021:0009:0021:0000:0000:00유료601500601500<NA><NA><NA>현금<NA>계림유료주차장053-123-456735.870027128.5930292019-06-21
1150-4-000148대광유료주차장민영노외대구광역시 중구 국채보상로140길 32대구광역시 중구 동인동4가 184151미시행평일+토요일09:0018:0009:0018:0000:0000:00유료301000<NA><NA><NA><NA><NA>현금1시간 2,500원대광유료주차장053-428-717735.867472128.6059912019-06-21
2150-4-000149대양유료주차장민영노외대구광역시 중구 큰장로24안길 16(대신동)대구광역시 중구 대신동 273-6141미시행평일+토요일09:0018:0009:0018:0000:0000:00유료301000<NA><NA><NA><NA><NA>현금1시간 1,500원대양유료주차장053-253-699935.86688128.5787452019-06-21
3150-4-000150라이프유료주차장민영노외대구광역시 중구 태평로 177대구광역시 중구 태평로1가 1-187101미시행평일+토요일07:0020:0007:0020:0000:0000:00유료301000<NA><NA><NA><NA><NA>현금1시간 2,000원라이프유료주차장053-123-456735.874896128.5976432019-06-21
4150-4-000151대명유료주차장민영노외대구광역시 중구 동덕로 103대구광역시 중구 삼덕동2가 205181미시행평일+토요일09:0018:0009:0018:0000:0000:00유료601500601500<NA><NA><NA>현금<NA>대명유료주차장053-123-456735.864078128.6026842019-06-21
5150-4-000152영광유료주차장민영노외대구광역시 중구 달성로26길 35대구광역시 중구 도원동 3-2301미시행평일+토요일08:0019:0008:0019:0000:0000:00유료301000<NA><NA><NA><NA><NA>현금1시간 1,500원영광유료주차장053-123-456735.87598128.5841372019-06-21
6150-4-000153대보유료주차장민영노외대구광역시 중구 경상감영길 117-7대구광역시 중구 향촌동 63501미시행평일+토요일09:0021:0009:0021:0000:0000:00유료601000601000<NA><NA><NA>현금<NA>대보유료주차장053-254-549835.872616128.5936332019-06-21
7150-4-000154매일유료주차장민영노외대구광역시 중구 공평로 19대구광역시 중구 삼덕동1가 55-46451미시행평일+토요일08:3002:0008:3002:0000:0000:00유료301000<NA><NA><NA><NA><NA>현금<NA>매일유료주차장053-425-865035.865874128.5997362019-06-21
8150-4-000155봉산유료주차장민영노외대구광역시 중구 봉산문화길 44대구광역시 중구 봉산동 223-25131미시행평일+토요일11:0018:0011:0018:0000:0000:00유료301000<NA><NA><NA><NA><NA>현금1시간 1,500원봉산유료주차장053-123-456735.862147128.5978062019-06-21
9150-4-000156세화유료주차장민영노외대구광역시 중구 남성로 37대구광역시 중구 남성로 68121미시행평일+토요일08:3020:3008:3020:3000:0000:00유료301000<NA><NA><NA><NA><NA>현금<NA>세화유료주차장053-254-542835.867555128.5910072019-06-21
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도데이터기준일자
165150-4-000137포정유료주차장민영노외대구광역시 중구 중앙대로 432-13대구광역시 중구 포정동 73-1101미시행평일+토요일10:0018:0010:0018:0000:0000:00유료301000301000<NA><NA><NA>현금<NA>포정유료주차장053-123-456735.871734128.5949632019-06-21
166150-4-000138팔도유료주차장민영노외대구광역시 중구 봉산문화길 20대구광역시 중구 봉산동 219-17181미시행평일+토요일09:0018:0009:0018:0000:0000:00유료301000<NA><NA><NA><NA><NA>현금1시간 1,500원팔도유료주차장053-123-456735.861022128.5984432019-06-21
167150-4-000139한일유료주차장민영노외대구광역시 중구 북성로 108(북성로1가)대구광역시 중구 북성로1가 80-4241미시행평일+토요일09:0019:0009:0019:0000:0000:00유료301000301000<NA><NA><NA>현금<NA>한일유료주차장053-253-491035.87441128.5941632019-06-21
168150-4-000140동양유료주차장민영노외대구광역시 중구 남성로 59대구광역시 중구 종로2가 87431미시행평일+토요일08:3021:0008:3021:0000:0000:00유료301000301000<NA><NA><NA>현금<NA>동양유료주차장053-252-310535.867808128.5901622019-06-21
169150-4-000141삼성유료주차장민영노외대구광역시 중구 공평로8길 30-7(삼덕동2가)대구광역시 중구 삼덕동2가 127-2201미시행평일+토요일08:0023:5908:0023:5900:0000:00유료301000301000<NA><NA><NA>현금<NA>삼성유료주차장053-428-390335.866267128.6015552019-06-21
170150-4-000142아세아유료주차장민영노외대구광역시 중구 동덕로38길 14대구광역시 중구 동인동1가 330-8361미시행평일+토요일06:5018:3006:5018:3000:0000:00유료30100015500<NA><NA><NA>현금<NA>아세아유료주차장053-428-190035.871292128.6053312019-06-21
171150-4-000143코끼리유료주차장민영노외대구광역시 중구 달성로22길 88대구광역시 중구 수창동 95-1151미시행평일+토요일08:0018:0008:0018:0000:0000:00유료301000<NA><NA><NA><NA><NA>현금1시간 2,000원코끼리유료주차장053-123-456735.87446128.5869392019-06-21
172150-4-000144반월당유료주차장민영노외대구광역시 중구 달구벌대로 2115-3(봉산동)대구광역시 중구 봉산동 38-2201미시행평일+토요일07:0023:5907:0023:5900:0000:00유료301000301000<NA><NA><NA>현금<NA>반월당유료주차장053-424-110035.865434128.595352019-06-21
173150-4-000145동덕유료주차장민영노외대구광역시 중구 동덕로 114-11대구광역시 중구 삼덕동2가 246401미시행평일+토요일08:0020:0008:0020:0000:0000:00유료602000601000<NA><NA><NA>현금<NA>동덕유료주차장053-123-456735.86485128.6038832019-06-21
174150-4-000146계명대학교 동산병원주차장민영노외대구광역시 중구 달성로 56대구광역시 중구 동산동 1941941미시행평일+토요일08:0020:0008:0020:0000:0000:00유료3080010300<NA><NA><NA>현금의료원 방문목적 외 차량 추가요금 시간당 1,000원계명대학교 동산병원053-123-456735.87018128.5825212019-06-21