Overview

Dataset statistics

Number of variables34
Number of observations176
Missing cells315
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.9 KiB
Average record size in memory284.8 B

Variable types

Numeric5
Text6
Categorical16
DateTime7

Dataset

Description달서구 내의 공영주차장에 대한 현황으로 주차장의 지번 주소, 도로명 주소, 이용시간, 운영요일, 결제방법, 할인, 현재 운영여부 등의 특기사항을 제공합니다.
URLhttps://www.data.go.kr/data/15110071/fileData.do

Alerts

주차장구분 has constant value ""Constant
부제시행구분 has constant value ""Constant
운영요일 has constant value ""Constant
관리부서 has constant value ""Constant
기준일자 has constant value ""Constant
요금정보 is highly imbalanced (59.5%)Imbalance
주차기본시간 is highly imbalanced (64.6%)Imbalance
주차기본요금 is highly imbalanced (67.0%)Imbalance
추가단위시간 is highly imbalanced (68.0%)Imbalance
추가단위요금 is highly imbalanced (71.8%)Imbalance
1일주차권요금적용시간 is highly imbalanced (76.0%)Imbalance
1일주차권요금 is highly imbalanced (73.0%)Imbalance
결제방법 is highly imbalanced (77.4%)Imbalance
위도 has 3 (1.7%) missing valuesMissing
경도 has 3 (1.7%) missing valuesMissing
주차장관리번호 has 2 (1.1%) missing valuesMissing
소재지도로명주소 has 2 (1.1%) missing valuesMissing
월정기권요금 has 3 (1.7%) missing valuesMissing
특기사항 has 145 (82.4%) missing valuesMissing
현장정보 has 157 (89.2%) missing valuesMissing
순번 has unique valuesUnique
월정기권요금 has 156 (88.6%) zerosZeros

Reproduction

Analysis started2023-12-12 23:49:36.916777
Analysis finished2023-12-12 23:49:37.454077
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위도
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)93.6%
Missing3
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean35.837571
Minimum35.79416
Maximum35.863418
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T08:49:37.517853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.79416
5-th percentile35.807223
Q135.826362
median35.838503
Q335.8533
95-th percentile35.857788
Maximum35.863418
Range0.06925741
Interquartile range (IQR)0.02693794

Descriptive statistics

Standard deviation0.017079476
Coefficient of variation (CV)0.00047658018
Kurtosis-0.47240999
Mean35.837571
Median Absolute Deviation (MAD)0.01350986
Skewness-0.63677936
Sum6199.8997
Variance0.0002917085
MonotonicityNot monotonic
2023-12-13T08:49:37.651181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.83702469 4
 
2.3%
35.83845458 3
 
1.7%
35.85384502 2
 
1.1%
35.82573061 2
 
1.1%
35.85262612 2
 
1.1%
35.85525018 2
 
1.1%
35.81251364 2
 
1.1%
35.7988027 2
 
1.1%
35.8217455 1
 
0.6%
35.85733979 1
 
0.6%
Other values (152) 152
86.4%
(Missing) 3
 
1.7%
ValueCountFrequency (%)
35.79416021 1
0.6%
35.79444077 1
0.6%
35.79706025 1
0.6%
35.7988027 2
1.1%
35.79880604 1
0.6%
35.79966983 1
0.6%
35.8060227 1
0.6%
35.80720022 1
0.6%
35.80723777 1
0.6%
35.80789636 1
0.6%
ValueCountFrequency (%)
35.86341762 1
0.6%
35.86294972 1
0.6%
35.86269431 1
0.6%
35.85950078 1
0.6%
35.85896844 1
0.6%
35.8584047 1
0.6%
35.85794243 1
0.6%
35.85778891 1
0.6%
35.85778877 1
0.6%
35.85778773 1
0.6%

경도
Real number (ℝ)

MISSING 

Distinct162
Distinct (%)93.6%
Missing3
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean128.5347
Minimum128.47368
Maximum128.5734
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T08:49:37.777545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47368
5-th percentile128.49328
Q1128.52275
median128.5409
Q3128.54983
95-th percentile128.56092
Maximum128.5734
Range0.0997203
Interquartile range (IQR)0.0270807

Descriptive statistics

Standard deviation0.021811638
Coefficient of variation (CV)0.00016969455
Kurtosis-0.38121268
Mean128.5347
Median Absolute Deviation (MAD)0.0109293
Skewness-0.70798617
Sum22236.503
Variance0.00047574757
MonotonicityNot monotonic
2023-12-13T08:49:38.191335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.5490605 4
 
2.3%
128.4925543 3
 
1.7%
128.4974507 2
 
1.1%
128.5491485 2
 
1.1%
128.5392595 2
 
1.1%
128.5349705 2
 
1.1%
128.5399834 2
 
1.1%
128.5482878 2
 
1.1%
128.5513787 1
 
0.6%
128.4983766 1
 
0.6%
Other values (152) 152
86.4%
(Missing) 3
 
1.7%
ValueCountFrequency (%)
128.4736813 1
 
0.6%
128.4897346 1
 
0.6%
128.4901308 1
 
0.6%
128.4901451 1
 
0.6%
128.4911819 1
 
0.6%
128.4913688 1
 
0.6%
128.4925543 3
1.7%
128.4937704 1
 
0.6%
128.493922 1
 
0.6%
128.4939955 1
 
0.6%
ValueCountFrequency (%)
128.5734016 1
0.6%
128.5724581 1
0.6%
128.5721965 1
0.6%
128.5709285 1
0.6%
128.5698397 1
0.6%
128.5696105 1
0.6%
128.5669003 1
0.6%
128.564821 1
0.6%
128.5616516 1
0.6%
128.5604336 1
0.6%

순번
Real number (ℝ)

UNIQUE 

Distinct176
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.647727
Minimum1
Maximum177
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T08:49:38.314539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.75
Q144.75
median88.5
Q3132.25
95-th percentile168.25
Maximum177
Range176
Interquartile range (IQR)87.5

Descriptive statistics

Standard deviation51.170424
Coefficient of variation (CV)0.57723335
Kurtosis-1.1919977
Mean88.647727
Median Absolute Deviation (MAD)44
Skewness0.010609442
Sum15602
Variance2618.4123
MonotonicityNot monotonic
2023-12-13T08:49:38.439027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
67 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
43 1
 
0.6%
152 1
 
0.6%
145 1
 
0.6%
65 1
 
0.6%
Other values (166) 166
94.3%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%
168 1
0.6%

주차장관리번호
Text

MISSING 

Distinct174
Distinct (%)100.0%
Missing2
Missing (%)1.1%
Memory size1.5 KiB
2023-12-13T08:49:38.700024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters2088
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

Unique174 ?
Unique (%)100.0%

Sample

1st row156-1-000001
2nd row156-1-000002
3rd row156-2-000001
4th row156-1-000003
5th row156-1-000004
ValueCountFrequency (%)
156-1-000011 1
 
0.6%
156-1-000075 1
 
0.6%
156-1-000077 1
 
0.6%
156-1-000078 1
 
0.6%
156-1-000079 1
 
0.6%
156-1-000080 1
 
0.6%
156-1-000081 1
 
0.6%
156-2-000037 1
 
0.6%
156-2-000038 1
 
0.6%
156-2-000039 1
 
0.6%
Other values (164) 164
94.3%
2023-12-13T08:49:39.060331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 726
34.8%
- 348
16.7%
1 343
16.4%
5 210
 
10.1%
6 206
 
9.9%
2 99
 
4.7%
3 39
 
1.9%
4 37
 
1.8%
7 27
 
1.3%
8 27
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1740
83.3%
Dash Punctuation 348
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 726
41.7%
1 343
19.7%
5 210
 
12.1%
6 206
 
11.8%
2 99
 
5.7%
3 39
 
2.2%
4 37
 
2.1%
7 27
 
1.6%
8 27
 
1.6%
9 26
 
1.5%
Dash Punctuation
ValueCountFrequency (%)
- 348
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2088
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 726
34.8%
- 348
16.7%
1 343
16.4%
5 210
 
10.1%
6 206
 
9.9%
2 99
 
4.7%
3 39
 
1.9%
4 37
 
1.8%
7 27
 
1.3%
8 27
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2088
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 726
34.8%
- 348
16.7%
1 343
16.4%
5 210
 
10.1%
6 206
 
9.9%
2 99
 
4.7%
3 39
 
1.9%
4 37
 
1.8%
7 27
 
1.3%
8 27
 
1.3%

주차장명
Text

Distinct166
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T08:49:39.282550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length9.4602273
Min length5

Characters and Unicode

Total characters1665
Distinct characters174
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique157 ?
Unique (%)89.2%

Sample

1st row갈산공원인근
2nd row감삼교회 인근
3rd row상인1공영주차장
4th row감삼맨션 인근
5th row감삼보성청실아파트 인근
ValueCountFrequency (%)
인근 51
 
20.0%
주차장 9
 
3.5%
공영 9
 
3.5%
와룡로10길인근노상공영주차장 3
 
1.2%
월배로74서길인근 2
 
0.8%
서부지청인근 2
 
0.8%
든들마을 2
 
0.8%
고려낙원아파트 2
 
0.8%
공영주차장 2
 
0.8%
월배로83길인근노상공영주차장 2
 
0.8%
Other values (166) 171
67.1%
2023-12-13T08:49:39.632351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 117
 
7.0%
근 110
 
6.6%
공 88
 
5.3%
79
 
4.7%
장 79
 
4.7%
차 75
 
4.5%
주 74
 
4.4%
로 65
 
3.9%
영 64
 
3.8%
길 52
 
3.1%
Other values (164) 862
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1425
85.6%
Decimal Number 151
 
9.1%
Space Separator 79
 
4.7%
Other Punctuation 4
 
0.2%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 117
 
8.2%
근 110
 
7.7%
공 88
 
6.2%
장 79
 
5.5%
차 75
 
5.3%
주 74
 
5.2%
로 65
 
4.6%
영 64
 
4.5%
길 52
 
3.6%
서 37
 
2.6%
Other values (147) 664
46.6%
Decimal Number
ValueCountFrequency (%)
2 32
21.2%
1 30
19.9%
3 19
12.6%
4 16
10.6%
5 14
9.3%
8 11
 
7.3%
6 10
 
6.6%
7 8
 
5.3%
0 6
 
4.0%
9 5
 
3.3%
Other Punctuation
ValueCountFrequency (%)
· 3
75.0%
. 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1425
85.6%
Common 238
 
14.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 117
 
8.2%
근 110
 
7.7%
공 88
 
6.2%
장 79
 
5.5%
차 75
 
5.3%
주 74
 
5.2%
로 65
 
4.6%
영 64
 
4.5%
길 52
 
3.6%
서 37
 
2.6%
Other values (147) 664
46.6%
Common
ValueCountFrequency (%)
79
33.2%
2 32
13.4%
1 30
 
12.6%
3 19
 
8.0%
4 16
 
6.7%
5 14
 
5.9%
8 11
 
4.6%
6 10
 
4.2%
7 8
 
3.4%
0 6
 
2.5%
Other values (5) 13
 
5.5%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1425
85.6%
ASCII 237
 
14.2%
None 3
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 117
 
8.2%
근 110
 
7.7%
공 88
 
6.2%
장 79
 
5.5%
차 75
 
5.3%
주 74
 
5.2%
로 65
 
4.6%
영 64
 
4.5%
길 52
 
3.6%
서 37
 
2.6%
Other values (147) 664
46.6%
ASCII
ValueCountFrequency (%)
79
33.3%
2 32
13.5%
1 30
 
12.7%
3 19
 
8.0%
4 16
 
6.8%
5 14
 
5.9%
8 11
 
4.6%
6 10
 
4.2%
7 8
 
3.4%
0 6
 
2.5%
Other values (6) 12
 
5.1%
None
ValueCountFrequency (%)
· 3
100.0%

주차장구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
공영
176 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공영 176
100.0%

Length

2023-12-13T08:49:39.766751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:39.849878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 176
100.0%

주차장유형
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
노상
113 
노외
63 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노상 113
64.2%
노외 63
35.8%

Length

2023-12-13T08:49:39.939638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:40.026994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노상 113
64.2%
노외 63
35.8%

소재지도로명주소
Text

MISSING 

Distinct161
Distinct (%)92.5%
Missing2
Missing (%)1.1%
Memory size1.5 KiB
2023-12-13T08:49:40.267876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length24
Mean length18.729885
Min length15

Characters and Unicode

Total characters3259
Distinct characters88
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)87.4%

Sample

1st row대구광역시 달서구 성서공단북로 250
2nd row대구광역시 달서구 감삼남1길 58
3rd row대구광역시 달서구 상화북로 196-6
4th row대구광역시 달서구 달구벌대로332길 78
5th row대구광역시 달서구 달구벌대로323길 39
ValueCountFrequency (%)
대구광역시 174
24.8%
달서구 174
24.8%
30 6
 
0.9%
월배로 5
 
0.7%
33 5
 
0.7%
14 5
 
0.7%
월배로72길 4
 
0.6%
상화북로 4
 
0.6%
신당로 4
 
0.6%
26 4
 
0.6%
Other values (215) 318
45.2%
2023-12-13T08:49:40.662394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
529
16.2%
구 360
 
11.0%
서 211
 
6.5%
대 193
 
5.9%
달 187
 
5.7%
광 174
 
5.3%
역 174
 
5.3%
시 174
 
5.3%
로 160
 
4.9%
길 104
 
3.2%
Other values (78) 993
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2131
65.4%
Decimal Number 573
 
17.6%
Space Separator 529
 
16.2%
Dash Punctuation 15
 
0.5%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 360
16.9%
서 211
9.9%
대 193
9.1%
달 187
8.8%
광 174
8.2%
역 174
8.2%
시 174
8.2%
로 160
7.5%
길 104
 
4.9%
성 24
 
1.1%
Other values (63) 370
17.4%
Decimal Number
ValueCountFrequency (%)
1 103
18.0%
2 82
14.3%
3 76
13.3%
6 57
9.9%
4 55
9.6%
5 55
9.6%
7 49
8.6%
8 35
 
6.1%
0 33
 
5.8%
9 28
 
4.9%
Space Separator
ValueCountFrequency (%)
529
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2131
65.4%
Common 1128
34.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 360
16.9%
서 211
9.9%
대 193
9.1%
달 187
8.8%
광 174
8.2%
역 174
8.2%
시 174
8.2%
로 160
7.5%
길 104
 
4.9%
성 24
 
1.1%
Other values (63) 370
17.4%
Common
ValueCountFrequency (%)
529
46.9%
1 103
 
9.1%
2 82
 
7.3%
3 76
 
6.7%
6 57
 
5.1%
4 55
 
4.9%
5 55
 
4.9%
7 49
 
4.3%
8 35
 
3.1%
0 33
 
2.9%
Other values (5) 54
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2131
65.4%
ASCII 1128
34.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
529
46.9%
1 103
 
9.1%
2 82
 
7.3%
3 76
 
6.7%
6 57
 
5.1%
4 55
 
4.9%
5 55
 
4.9%
7 49
 
4.3%
8 35
 
3.1%
0 33
 
2.9%
Other values (5) 54
 
4.8%
Hangul
ValueCountFrequency (%)
구 360
16.9%
서 211
9.9%
대 193
9.1%
달 187
8.8%
광 174
8.2%
역 174
8.2%
시 174
8.2%
로 160
7.5%
길 104
 
4.9%
성 24
 
1.1%
Other values (63) 370
17.4%

소재지지번주소
Text

Distinct161
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T08:49:41.044367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.738636
Min length16

Characters and Unicode

Total characters3298
Distinct characters51
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique151 ?
Unique (%)85.8%

Sample

1st row대구광역시 달서구 갈산동 산51-4
2nd row대구광역시 달서구 감삼동 163-1
3rd row대구광역시 달서구 상인동 1553
4th row대구광역시 달서구 감삼동 118-2
5th row대구광역시 달서구 감삼동 40-1
ValueCountFrequency (%)
대구광역시 176
25.0%
달서구 176
25.0%
송현동 32
 
4.5%
상인동 15
 
2.1%
성당동 15
 
2.1%
죽전동 14
 
2.0%
용산동 12
 
1.7%
두류동 11
 
1.6%
감삼동 10
 
1.4%
신당동 10
 
1.4%
Other values (176) 233
33.1%
2023-12-13T08:49:41.555454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
528
16.0%
구 352
 
10.7%
대 181
 
5.5%
서 176
 
5.3%
달 176
 
5.3%
동 176
 
5.3%
시 176
 
5.3%
역 176
 
5.3%
광 176
 
5.3%
1 157
 
4.8%
Other values (41) 1024
31.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1934
58.6%
Decimal Number 724
 
22.0%
Space Separator 528
 
16.0%
Dash Punctuation 112
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 352
18.2%
대 181
9.4%
서 176
9.1%
달 176
9.1%
동 176
9.1%
시 176
9.1%
역 176
9.1%
광 176
9.1%
송 32
 
1.7%
현 32
 
1.7%
Other values (29) 281
14.5%
Decimal Number
ValueCountFrequency (%)
1 157
21.7%
2 76
10.5%
9 73
10.1%
3 70
9.7%
8 66
9.1%
4 66
9.1%
5 65
9.0%
7 52
 
7.2%
6 50
 
6.9%
0 49
 
6.8%
Space Separator
ValueCountFrequency (%)
528
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1934
58.6%
Common 1364
41.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 352
18.2%
대 181
9.4%
서 176
9.1%
달 176
9.1%
동 176
9.1%
시 176
9.1%
역 176
9.1%
광 176
9.1%
송 32
 
1.7%
현 32
 
1.7%
Other values (29) 281
14.5%
Common
ValueCountFrequency (%)
528
38.7%
1 157
 
11.5%
- 112
 
8.2%
2 76
 
5.6%
9 73
 
5.4%
3 70
 
5.1%
8 66
 
4.8%
4 66
 
4.8%
5 65
 
4.8%
7 52
 
3.8%
Other values (2) 99
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1934
58.6%
ASCII 1364
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
528
38.7%
1 157
 
11.5%
- 112
 
8.2%
2 76
 
5.6%
9 73
 
5.4%
3 70
 
5.1%
8 66
 
4.8%
4 66
 
4.8%
5 65
 
4.8%
7 52
 
3.8%
Other values (2) 99
 
7.3%
Hangul
ValueCountFrequency (%)
구 352
18.2%
대 181
9.4%
서 176
9.1%
달 176
9.1%
동 176
9.1%
시 176
9.1%
역 176
9.1%
광 176
9.1%
송 32
 
1.7%
현 32
 
1.7%
Other values (29) 281
14.5%

주차구획수
Real number (ℝ)

Distinct71
Distinct (%)40.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.585227
Minimum2
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T08:49:41.692153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q111
median20
Q342.25
95-th percentile169.75
Maximum341
Range339
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation51.912163
Coefficient of variation (CV)1.3114024
Kurtosis8.3063646
Mean39.585227
Median Absolute Deviation (MAD)13
Skewness2.6498454
Sum6967
Variance2694.8727
MonotonicityNot monotonic
2023-12-13T08:49:41.848062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 8
 
4.5%
18 8
 
4.5%
2 7
 
4.0%
3 7
 
4.0%
4 6
 
3.4%
6 6
 
3.4%
13 6
 
3.4%
17 6
 
3.4%
22 5
 
2.8%
16 5
 
2.8%
Other values (61) 112
63.6%
ValueCountFrequency (%)
2 7
4.0%
3 7
4.0%
4 6
3.4%
5 4
2.3%
6 6
3.4%
7 2
 
1.1%
8 4
2.3%
9 3
 
1.7%
10 3
 
1.7%
11 8
4.5%
ValueCountFrequency (%)
341 1
0.6%
215 1
0.6%
207 1
0.6%
195 1
0.6%
188 1
0.6%
187 1
0.6%
185 1
0.6%
184 1
0.6%
172 1
0.6%
169 2
1.1%

급지구분
Categorical

Distinct2
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2
95 
3
81 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 95
54.0%
3 81
46.0%

Length

2023-12-13T08:49:41.981323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:42.064489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 95
54.0%
3 81
46.0%

부제시행구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
미시행
176 

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 176
100.0%

Length

2023-12-13T08:49:42.161281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:42.254896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 176
100.0%

운영요일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
평일+토요일+공휴일
176 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일+토요일+공휴일 176
100.0%

Length

2023-12-13T08:49:42.344770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:42.441850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+공휴일 176
100.0%

평일운영시작시각
Date

Distinct7
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 11:00:00
2023-12-13T08:49:42.546857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:42.640785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

평일운영종료시각
Date

Distinct8
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 23:00:00
2023-12-13T08:49:42.733646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:42.804009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)

토요일운영시작시각
Date

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 10:00:00
2023-12-13T08:49:42.872991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:42.952096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

토요일운영종료시각
Date

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 23:00:00
2023-12-13T08:49:43.029068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:43.104656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

공휴일운영시작시각
Date

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 10:00:00
2023-12-13T08:49:43.190777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:43.298471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

공휴일운영종료시각
Date

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-12-13 00:00:00
Maximum2023-12-13 23:00:00
2023-12-13T08:49:43.381222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:43.453168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

요금정보
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
무료
155 
유료
 
13
혼합
 
8

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 155
88.1%
유료 13
 
7.4%
혼합 8
 
4.5%

Length

2023-12-13T08:49:43.540334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:43.622350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 155
88.1%
유료 13
 
7.4%
혼합 8
 
4.5%

주차기본시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
1440
155 
30
20 
120
 
1

Length

Max length4
Median length4
Mean length3.7670455
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row1440
2nd row1440
3rd row30
4th row1440
5th row1440

Common Values

ValueCountFrequency (%)
1440 155
88.1%
30 20
 
11.4%
120 1
 
0.6%

Length

2023-12-13T08:49:43.716469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:43.817811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1440 155
88.1%
30 20
 
11.4%
120 1
 
0.6%

주차기본요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
155 
300
 
14
200
 
6
1000
 
1

Length

Max length4
Median length1
Mean length1.2443182
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row300
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 155
88.1%
300 14
 
8.0%
200 6
 
3.4%
1000 1
 
0.6%

Length

2023-12-13T08:49:43.919625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:44.044228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 155
88.1%
300 14
 
8.0%
200 6
 
3.4%
1000 1
 
0.6%

추가단위시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
158 
10
17 
120
 
1

Length

Max length3
Median length1
Mean length1.1079545
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row10
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 158
89.8%
10 17
 
9.7%
120 1
 
0.6%

Length

2023-12-13T08:49:44.151734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:44.255557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
89.8%
10 17
 
9.7%
120 1
 
0.6%

추가단위요금
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
158 
150
 
8
100
 
5
200
 
4
1000
 
1

Length

Max length4
Median length1
Mean length1.2102273
Min length1

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row150
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 158
89.8%
150 8
 
4.5%
100 5
 
2.8%
200 4
 
2.3%
1000 1
 
0.6%

Length

2023-12-13T08:49:44.357362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:44.466155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 158
89.8%
150 8
 
4.5%
100 5
 
2.8%
200 4
 
2.3%
1000 1
 
0.6%

1일주차권요금적용시간
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0.0
165 
3.5
 
9
4.5
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row3.5
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 165
93.8%
3.5 9
 
5.1%
4.5 2
 
1.1%

Length

2023-12-13T08:49:44.575028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:44.680098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 165
93.8%
3.5 9
 
5.1%
4.5 2
 
1.1%

1일주차권요금
Categorical

IMBALANCE 

Distinct4
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
0
161 
3000
 
8
2000
 
5
5000
 
2

Length

Max length4
Median length1
Mean length1.2556818
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row3000
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 161
91.5%
3000 8
 
4.5%
2000 5
 
2.8%
5000 2
 
1.1%

Length

2023-12-13T08:49:44.851230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:44.985189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 161
91.5%
3000 8
 
4.5%
2000 5
 
2.8%
5000 2
 
1.1%

월정기권요금
Real number (ℝ)

MISSING  ZEROS 

Distinct6
Distinct (%)3.5%
Missing3
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean3988.4393
Minimum0
Maximum80000
Zeros156
Zeros (%)88.6%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T08:49:45.072165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile40000
Maximum80000
Range80000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13671.388
Coefficient of variation (CV)3.4277537
Kurtosis15.524904
Mean3988.4393
Median Absolute Deviation (MAD)0
Skewness3.874909
Sum690000
Variance1.8690684 × 108
MonotonicityNot monotonic
2023-12-13T08:49:45.187375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 156
88.6%
40000 7
 
4.0%
20000 6
 
3.4%
80000 2
 
1.1%
60000 1
 
0.6%
70000 1
 
0.6%
(Missing) 3
 
1.7%
ValueCountFrequency (%)
0 156
88.6%
20000 6
 
3.4%
40000 7
 
4.0%
60000 1
 
0.6%
70000 1
 
0.6%
80000 2
 
1.1%
ValueCountFrequency (%)
80000 2
 
1.1%
70000 1
 
0.6%
60000 1
 
0.6%
40000 7
 
4.0%
20000 6
 
3.4%
0 156
88.6%

결제방법
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
<NA>
161 
현금
 
11
현금 카드
 
2
신용카드
 
1
0
 
1

Length

Max length5
Median length4
Mean length3.8693182
Min length1

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 161
91.5%
현금 11
 
6.2%
현금 카드 2
 
1.1%
신용카드 1
 
0.6%
0 1
 
0.6%

Length

2023-12-13T08:49:45.342667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:45.456147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 161
90.4%
현금 13
 
7.3%
카드 2
 
1.1%
신용카드 1
 
0.6%
0 1
 
0.6%

특기사항
Text

MISSING 

Distinct17
Distinct (%)54.8%
Missing145
Missing (%)82.4%
Memory size1.5 KiB
2023-12-13T08:49:45.703003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length69
Mean length38.354839
Min length2

Characters and Unicode

Total characters1189
Distinct characters121
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

Unique14 ?
Unique (%)45.2%

Sample

1st row경차60퍼센트할인 장애인2시간면제 50퍼센트할인 하이브리드1600cc이하 50퍼센트할인 아이조아50퍼센트 할인
2nd row경차60퍼센트할인 장애인2시간면제 50퍼센트할인 하이브리드1600cc이하 50퍼센트할인 요일제 20퍼센트 성실납세자 면제 일요일과 법정공휴일 무료개방
3rd row경차60퍼센트할인 장애인2시간면제 50퍼센트할인 하이브리드1600cc이하 50퍼센트할인 아이조아50퍼센트 할인
4th row일요일 법정공휴일 무료개방
5th row일요일 법정공휴일 무료개방 무인정산시스템 운영
ValueCountFrequency (%)
50퍼센트할인 23
 
12.6%
경차60퍼센트할인 14
 
7.7%
장애인2시간면제 14
 
7.7%
하이브리드1600cc이하 9
 
4.9%
아이조아50퍼센트 8
 
4.4%
할인 8
 
4.4%
없음 6
 
3.3%
성실납세자 6
 
3.3%
정상금액 5
 
2.7%
기준 5
 
2.7%
Other values (55) 84
46.2%
2023-12-13T08:49:46.117202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
 
12.9%
0 74
 
6.2%
인 65
 
5.5%
퍼 51
 
4.3%
센 51
 
4.3%
트 51
 
4.3%
할 50
 
4.2%
차 36
 
3.0%
5 32
 
2.7%
6 30
 
2.5%
Other values (111) 596
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 812
68.3%
Decimal Number 176
 
14.8%
Space Separator 153
 
12.9%
Lowercase Letter 20
 
1.7%
Other Punctuation 9
 
0.8%
Close Punctuation 8
 
0.7%
Open Punctuation 8
 
0.7%
Dash Punctuation 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 65
 
8.0%
퍼 51
 
6.3%
센 51
 
6.3%
트 51
 
6.3%
할 50
 
6.2%
차 36
 
4.4%
이 28
 
3.4%
제 22
 
2.7%
경 20
 
2.5%
면 20
 
2.5%
Other values (94) 418
51.5%
Decimal Number
ValueCountFrequency (%)
0 74
42.0%
5 32
18.2%
6 30
17.0%
1 19
 
10.8%
2 16
 
9.1%
3 2
 
1.1%
4 2
 
1.1%
9 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
c 18
90.0%
t 1
 
5.0%
x 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
: 7
77.8%
. 2
 
22.2%
Space Separator
ValueCountFrequency (%)
153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 812
68.3%
Common 357
30.0%
Latin 20
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 65
 
8.0%
퍼 51
 
6.3%
센 51
 
6.3%
트 51
 
6.3%
할 50
 
6.2%
차 36
 
4.4%
이 28
 
3.4%
제 22
 
2.7%
경 20
 
2.5%
면 20
 
2.5%
Other values (94) 418
51.5%
Common
ValueCountFrequency (%)
153
42.9%
0 74
20.7%
5 32
 
9.0%
6 30
 
8.4%
1 19
 
5.3%
2 16
 
4.5%
) 8
 
2.2%
( 8
 
2.2%
: 7
 
2.0%
- 3
 
0.8%
Other values (4) 7
 
2.0%
Latin
ValueCountFrequency (%)
c 18
90.0%
t 1
 
5.0%
x 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 812
68.3%
ASCII 377
31.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
40.6%
0 74
19.6%
5 32
 
8.5%
6 30
 
8.0%
1 19
 
5.0%
c 18
 
4.8%
2 16
 
4.2%
) 8
 
2.1%
( 8
 
2.1%
: 7
 
1.9%
Other values (7) 12
 
3.2%
Hangul
ValueCountFrequency (%)
인 65
 
8.0%
퍼 51
 
6.3%
센 51
 
6.3%
트 51
 
6.3%
할 50
 
6.2%
차 36
 
4.4%
이 28
 
3.4%
제 22
 
2.7%
경 20
 
2.5%
면 20
 
2.5%
Other values (94) 418
51.5%

관리기관명
Categorical

Distinct3
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
대구광역시 달서구청
137 
대구광역시청
24 
대구광역시 시설관리공단
15 

Length

Max length12
Median length10
Mean length9.625
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시청
2nd row대구광역시 달서구청
3rd row대구광역시 시설관리공단
4th row대구광역시 달서구청
5th row대구광역시 달서구청

Common Values

ValueCountFrequency (%)
대구광역시 달서구청 137
77.8%
대구광역시청 24
 
13.6%
대구광역시 시설관리공단 15
 
8.5%

Length

2023-12-13T08:49:46.255166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:46.360565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 152
46.3%
달서구청 137
41.8%
대구광역시청 24
 
7.3%
시설관리공단 15
 
4.6%

관리기관전화번호
Categorical

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
053-667-3092
132 
053-803-4885
23 
053-603-1195
15 
053-667-2656
 
5
053-603-4054
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row053-803-4885
2nd row053-667-3092
3rd row053-603-1195
4th row053-667-3092
5th row053-667-3092

Common Values

ValueCountFrequency (%)
053-667-3092 132
75.0%
053-803-4885 23
 
13.1%
053-603-1195 15
 
8.5%
053-667-2656 5
 
2.8%
053-603-4054 1
 
0.6%

Length

2023-12-13T08:49:46.486853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:46.602889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-667-3092 132
75.0%
053-803-4885 23
 
13.1%
053-603-1195 15
 
8.5%
053-667-2656 5
 
2.8%
053-603-4054 1
 
0.6%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
주차관리과
176 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주차관리과 176
100.0%

Length

2023-12-13T08:49:46.714363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:49:46.802623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주차관리과 176
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-03-20 00:00:00
Maximum2023-03-20 00:00:00
2023-12-13T08:49:46.875950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:49:47.213649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

현장정보
Text

MISSING 

Distinct19
Distinct (%)100.0%
Missing157
Missing (%)89.2%
Memory size1.5 KiB
2023-12-13T08:49:47.374933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length17.052632
Min length17

Characters and Unicode

Total characters324
Distinct characters15
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

Unique19 ?
Unique (%)100.0%

Sample

1st row1659663652041.jpg
2nd row1659663956513.jpg
3rd row1659664904382.jpg
4th row1659663900247.jpg
5th row1659663980339.jpg
ValueCountFrequency (%)
1659663652041.jpg 1
 
5.3%
1659666087610.jpg 1
 
5.3%
1659663745524.jpg 1
 
5.3%
1659666792894.jpg 1
 
5.3%
1659666767600.jpg 1
 
5.3%
1659666815044.jpg 1
 
5.3%
1659530844927.jpg 1
 
5.3%
1659530996436.jpg 1
 
5.3%
1659409610892.jpg 1
 
5.3%
1659666065569.jpg 1
 
5.3%
Other values (9) 9
47.4%
2023-12-13T08:49:47.678046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 74
22.8%
9 36
11.1%
5 31
9.6%
1 27
 
8.3%
0 21
 
6.5%
. 19
 
5.9%
j 19
 
5.9%
p 19
 
5.9%
g 19
 
5.9%
4 16
 
4.9%
Other values (5) 43
13.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 247
76.2%
Lowercase Letter 58
 
17.9%
Other Punctuation 19
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 74
30.0%
9 36
14.6%
5 31
12.6%
1 27
 
10.9%
0 21
 
8.5%
4 16
 
6.5%
3 13
 
5.3%
2 11
 
4.5%
7 10
 
4.0%
8 8
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
j 19
32.8%
p 19
32.8%
g 19
32.8%
e 1
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 266
82.1%
Latin 58
 
17.9%

Most frequent character per script

Common
ValueCountFrequency (%)
6 74
27.8%
9 36
13.5%
5 31
11.7%
1 27
 
10.2%
0 21
 
7.9%
. 19
 
7.1%
4 16
 
6.0%
3 13
 
4.9%
2 11
 
4.1%
7 10
 
3.8%
Latin
ValueCountFrequency (%)
j 19
32.8%
p 19
32.8%
g 19
32.8%
e 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 74
22.8%
9 36
11.1%
5 31
9.6%
1 27
 
8.3%
0 21
 
6.5%
. 19
 
5.9%
j 19
 
5.9%
p 19
 
5.9%
g 19
 
5.9%
4 16
 
4.9%
Other values (5) 43
13.3%

Sample

위도경도순번주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명관리기관전화번호관리부서기준일자현장정보
035.844429128.5003161156-1-000001갈산공원인근공영노상대구광역시 달서구 성서공단북로 250대구광역시 달서구 갈산동 산51-41443미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시청053-803-4885주차관리과2023-03-20<NA>
135.849222128.5406642156-1-000002감삼교회 인근공영노상대구광역시 달서구 감삼남1길 58대구광역시 달서구 감삼동 163-142미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-201659663652041.jpg
235.812986128.54705856156-2-000001상인1공영주차장공영노외대구광역시 달서구 상화북로 196-6대구광역시 달서구 상인동 1553842미시행평일+토요일+공휴일09:0020:0009:0020:0009:0020:00유료30300101503.5300040000현금경차60퍼센트할인 장애인2시간면제 50퍼센트할인 하이브리드1600cc이하 50퍼센트할인 아이조아50퍼센트 할인대구광역시 시설관리공단053-603-1195주차관리과2023-03-20<NA>
335.850873128.5463224156-1-000003감삼맨션 인근공영노상대구광역시 달서구 달구벌대로332길 78대구광역시 달서구 감삼동 118-222미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-201659663956513.jpg
435.854076128.5415285156-1-000004감삼보성청실아파트 인근공영노상대구광역시 달서구 달구벌대로323길 39대구광역시 달서구 감삼동 40-1192미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-201659664904382.jpg
535.849547128.5455796156-1-000005감삼삼각지어린이공원 인근공영노상대구광역시 달서구 감삼길 142대구광역시 달서구 감삼동 123182미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-201659663900247.jpg
635.851756128.5423657156-1-000006감삼치안센터 인근공영노상대구광역시 달서구 달구벌대로 1606대구광역시 달서구 감삼동 100-892미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-201659663980339.jpg
735.848393128.5486088156-1-000007경화여자고등학교 인근공영노상대구광역시 달서구 당산로30길 20대구광역시 달서구 성당동 670-29132미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>
835.853845128.4974519156-1-000008계대동문로인근공영노상대구광역시 달서구 신당로 55대구광역시 달서구 신당동 1789262미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시청053-803-4885주차관리과2023-03-20<NA>
935.812514128.53998310156-1-000009고려낙원아파트 인근공영노상대구광역시 달서구 월곡로45길 49대구광역시 달서구 상인동 1473202미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>
위도경도순번주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명관리기관전화번호관리부서기준일자현장정보
16635.831068128.55852744156-2-000059든들마을 네모공영노외대구광역시 달서구 중흥로9길 37대구광역시 달서구 송현동 286-2103미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>
16735.831215128.55801945156-2-000060든들마을 세모공영노외대구광역시 달서구 앞산순환로61길 83대구광역시 달서구 송현동 289-1453미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>
16835.856305128.52174690156-2-000061성서용산시장공영주차장공영노외대구광역시 달서구 성지로18길 10-13대구광역시 달서구 용산동 448-6362미시행평일+토요일+공휴일09:0022:0009:0022:0009:0022:00유료30300000.000<NA>정상금액 기준: 경차60퍼센트할인 장애인2시간면제 50퍼센트할인 친환경적 저공해 자동차 60퍼센트할인 성실납세자 면제(1년)대구광역시 달서구청053-667-2656주차관리과2023-03-20<NA>
16935.850253128.473681171156-1-000111호산로27길인근공영노상대구광역시 달서구 호산로 125대구광역시 달서구 파호동 89553미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>
17035.807238128.5486172156-1-000112홈마트대곡점 인근공영노상대구광역시 달서구 월곡로 113대구광역시 달서구 도원동 616133미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>
171<NA><NA>173156-2-000062본동3공영주차장공영노외대구광역시 달서구 본동 구마로14남길 6대구광역시 달서구 본동 875183미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>
17235.858405128.522746174156-2-000063용산2동 3공영주차장공영노외대구광역시 달서구 용산동 성지로22길 25대구광역시 달서구 용산동 499-13223미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.000<NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>
17335.855691128.572196175156-2-000064두류1·2동 4공영주차장공영노외대구광역시 달서구 성당로51길 32, (두류동)대구광역시 달서구 두류동 841-6173미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.00<NA><NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>
174<NA><NA>176<NA>큰골주차장공영노외<NA>대구광역시 달서구 대곡동 877903미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.00<NA><NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>
175<NA><NA>177<NA>월광5주차장공영노외<NA>대구광역시 달서구 도원동 1176-1543미시행평일+토요일+공휴일00:0000:0000:0000:0000:0000:00무료14400000.00<NA><NA><NA>대구광역시 달서구청053-667-3092주차관리과2023-03-20<NA>