Overview

Dataset statistics

Number of variables43
Number of observations4765
Missing cells81422
Missing cells (%)39.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 MiB
Average record size in memory358.0 B

Variable types

Numeric12
Text10
Categorical10
DateTime9
Boolean1
Unsupported1

Dataset

Description대구광역시 건축물 중 단독주택, 공동주택, 공장을 제외한 건축물 부설주차장의 ① 위치, ② 도로명주소 또는 지번주소, ③ 요금정보, ④ 운영시간, ⑤ 주차시설정보(면수), ⑥ 개방공유주차사업 참여여부 등 부설주차장 운영 정보
URLhttps://www.data.go.kr/data/15109421/fileData.do

Alerts

일요일개방공유시작시간 has constant value ""Constant
일요일개방공유종료시간 has constant value ""Constant
부제시행구분 is highly imbalanced (94.1%)Imbalance
공휴일운영종료시각 is highly imbalanced (52.3%)Imbalance
요금정보 is highly imbalanced (68.9%)Imbalance
결제방법 is highly imbalanced (72.9%)Imbalance
주차장개방공유 is highly imbalanced (98.8%)Imbalance
개방공유면수 is highly imbalanced (99.4%)Imbalance
평일운영시작시각 has 290 (6.1%) missing valuesMissing
토요일운영시작시각 has 1185 (24.9%) missing valuesMissing
토요일운영종료시각 has 1185 (24.9%) missing valuesMissing
공휴일운영시작시각 has 1645 (34.5%) missing valuesMissing
주차기본시간 has 4403 (92.4%) missing valuesMissing
주차기본요금 has 4438 (93.1%) missing valuesMissing
추가단위시간 has 4389 (92.1%) missing valuesMissing
추가단위요금 has 4389 (92.1%) missing valuesMissing
1일주차권요금적용시간 has 4614 (96.8%) missing valuesMissing
1일주차권요금 has 4544 (95.4%) missing valuesMissing
월정기권요금 has 4686 (98.3%) missing valuesMissing
특기사항 has 129 (2.7%) missing valuesMissing
관리기관명 has 652 (13.7%) missing valuesMissing
전화번호 has 2018 (42.4%) missing valuesMissing
개방공유시작 has 4761 (99.9%) missing valuesMissing
개방공유종료 has 4761 (99.9%) missing valuesMissing
평일개방공유시작시각 has 4760 (99.9%) missing valuesMissing
평일개방공유종료시각 has 4760 (99.9%) missing valuesMissing
토요일개방공유시작시간 has 4761 (99.9%) missing valuesMissing
토요일개방공유종료시간 has 4761 (99.9%) missing valuesMissing
일요일개방공유시작시간 has 4763 (> 99.9%) missing valuesMissing
일요일개방공유종료시간 has 4763 (> 99.9%) missing valuesMissing
개방공유특기사항 has 4765 (100.0%) missing valuesMissing
주차장아이디 has unique valuesUnique
개방공유특기사항 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 06:13:20.926410
Analysis finished2023-12-12 06:13:23.021784
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장아이디
Real number (ℝ)

UNIQUE 

Distinct4765
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.7271577 × 109
Minimum2.711 × 109
Maximum2.7710009 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:23.090292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.711 × 109
5-th percentile2.7110003 × 109
Q12.7170001 × 109
median2.723001 × 109
Q32.7290004 × 109
95-th percentile2.7710005 × 109
Maximum2.7710009 × 109
Range60000900
Interquartile range (IQR)12000355

Descriptive statistics

Standard deviation16445776
Coefficient of variation (CV)0.0060303723
Kurtosis2.6761246
Mean2.7271577 × 109
Median Absolute Deviation (MAD)5999776
Skewness1.8981853
Sum1.2994906 × 1013
Variance2.7046355 × 1014
MonotonicityNot monotonic
2023-12-12T15:13:23.224609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2720000001 1
 
< 0.1%
2717000087 1
 
< 0.1%
2717000293 1
 
< 0.1%
2717000283 1
 
< 0.1%
2717000083 1
 
< 0.1%
2717000084 1
 
< 0.1%
2717000194 1
 
< 0.1%
2717000192 1
 
< 0.1%
2717000296 1
 
< 0.1%
2717000236 1
 
< 0.1%
Other values (4755) 4755
99.8%
ValueCountFrequency (%)
2711000002 1
< 0.1%
2711000003 1
< 0.1%
2711000005 1
< 0.1%
2711000006 1
< 0.1%
2711000007 1
< 0.1%
2711000008 1
< 0.1%
2711000009 1
< 0.1%
2711000012 1
< 0.1%
2711000013 1
< 0.1%
2711000014 1
< 0.1%
ValueCountFrequency (%)
2771000902 1
< 0.1%
2771000901 1
< 0.1%
2771000900 1
< 0.1%
2771000899 1
< 0.1%
2771000898 1
< 0.1%
2771000895 1
< 0.1%
2771000894 1
< 0.1%
2771000893 1
< 0.1%
2771000892 1
< 0.1%
2771000890 1
< 0.1%

구군코드
Real number (ℝ)

Distinct8
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27271.572
Minimum27110
Maximum27710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:23.322104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27110
5-th percentile27110
Q127170
median27230
Q327290
95-th percentile27710
Maximum27710
Range600
Interquartile range (IQR)120

Descriptive statistics

Standard deviation164.45756
Coefficient of variation (CV)0.0060303661
Kurtosis2.6761608
Mean27271.572
Median Absolute Deviation (MAD)60
Skewness1.8981993
Sum1.2994904 × 108
Variance27046.29
MonotonicityNot monotonic
2023-12-12T15:13:23.411376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
27290 1031
21.6%
27230 799
16.8%
27140 787
16.5%
27260 767
16.1%
27710 521
10.9%
27110 347
 
7.3%
27170 300
 
6.3%
27200 213
 
4.5%
ValueCountFrequency (%)
27110 347
 
7.3%
27140 787
16.5%
27170 300
 
6.3%
27200 213
 
4.5%
27230 799
16.8%
27260 767
16.1%
27290 1031
21.6%
27710 521
10.9%
ValueCountFrequency (%)
27710 521
10.9%
27290 1031
21.6%
27260 767
16.1%
27230 799
16.8%
27200 213
 
4.5%
27170 300
 
6.3%
27140 787
16.5%
27110 347
 
7.3%

주차장명
Text

Distinct4650
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
2023-12-12T15:13:23.694063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length11.693389
Min length3

Characters and Unicode

Total characters55719
Distinct characters693
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4557 ?
Unique (%)95.6%

Sample

1st row대구가톨릭대학교병원 주차장
2nd row경북예술고등학교 부설주차장
3rd row봉덕초등학교 부설주차장
4th row복만네장터 부설주차장
5th row성명초등학교 주차장
ValueCountFrequency (%)
주차장 3692
32.7%
부설주차장 617
 
5.5%
부설 201
 
1.8%
월성동 42
 
0.4%
이곡동 39
 
0.3%
서구 38
 
0.3%
상인동 35
 
0.3%
범어동 28
 
0.2%
신천동 27
 
0.2%
동천동 27
 
0.2%
Other values (5073) 6528
57.9%
2023-12-12T15:13:24.161227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6510
 
11.7%
장 4628
 
8.3%
주 4510
 
8.1%
차 4487
 
8.1%
동 1298
 
2.3%
대 1126
 
2.0%
구 951
 
1.7%
부 945
 
1.7%
1 878
 
1.6%
설 846
 
1.5%
Other values (683) 29540
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43721
78.5%
Space Separator 6510
 
11.7%
Decimal Number 3991
 
7.2%
Uppercase Letter 702
 
1.3%
Dash Punctuation 699
 
1.3%
Lowercase Letter 39
 
0.1%
Other Punctuation 25
 
< 0.1%
Close Punctuation 16
 
< 0.1%
Open Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 4628
 
10.6%
주 4510
 
10.3%
차 4487
 
10.3%
동 1298
 
3.0%
대 1126
 
2.6%
구 951
 
2.2%
부 945
 
2.2%
설 846
 
1.9%
빌 773
 
1.8%
딩 754
 
1.7%
Other values (624) 23403
53.5%
Uppercase Letter
ValueCountFrequency (%)
S 76
 
10.8%
G 65
 
9.3%
K 61
 
8.7%
T 55
 
7.8%
B 54
 
7.7%
D 52
 
7.4%
M 46
 
6.6%
C 37
 
5.3%
L 31
 
4.4%
I 29
 
4.1%
Other values (14) 196
27.9%
Lowercase Letter
ValueCountFrequency (%)
s 6
15.4%
e 5
12.8%
c 4
10.3%
a 4
10.3%
w 3
7.7%
k 3
7.7%
h 3
7.7%
l 2
 
5.1%
j 1
 
2.6%
b 1
 
2.6%
Other values (7) 7
17.9%
Decimal Number
ValueCountFrequency (%)
1 878
22.0%
2 554
13.9%
3 411
10.3%
4 359
9.0%
5 327
 
8.2%
0 306
 
7.7%
8 298
 
7.5%
6 290
 
7.3%
9 290
 
7.3%
7 278
 
7.0%
Other Punctuation
ValueCountFrequency (%)
& 17
68.0%
. 6
 
24.0%
· 1
 
4.0%
/ 1
 
4.0%
Space Separator
ValueCountFrequency (%)
6510
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 699
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43721
78.5%
Common 11257
 
20.2%
Latin 741
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 4628
 
10.6%
주 4510
 
10.3%
차 4487
 
10.3%
동 1298
 
3.0%
대 1126
 
2.6%
구 951
 
2.2%
부 945
 
2.2%
설 846
 
1.9%
빌 773
 
1.8%
딩 754
 
1.7%
Other values (624) 23403
53.5%
Latin
ValueCountFrequency (%)
S 76
 
10.3%
G 65
 
8.8%
K 61
 
8.2%
T 55
 
7.4%
B 54
 
7.3%
D 52
 
7.0%
M 46
 
6.2%
C 37
 
5.0%
L 31
 
4.2%
I 29
 
3.9%
Other values (31) 235
31.7%
Common
ValueCountFrequency (%)
6510
57.8%
1 878
 
7.8%
- 699
 
6.2%
2 554
 
4.9%
3 411
 
3.7%
4 359
 
3.2%
5 327
 
2.9%
0 306
 
2.7%
8 298
 
2.6%
6 290
 
2.6%
Other values (8) 625
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43721
78.5%
ASCII 11997
 
21.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6510
54.3%
1 878
 
7.3%
- 699
 
5.8%
2 554
 
4.6%
3 411
 
3.4%
4 359
 
3.0%
5 327
 
2.7%
0 306
 
2.6%
8 298
 
2.5%
6 290
 
2.4%
Other values (48) 1365
 
11.4%
Hangul
ValueCountFrequency (%)
장 4628
 
10.6%
주 4510
 
10.3%
차 4487
 
10.3%
동 1298
 
3.0%
대 1126
 
2.6%
구 951
 
2.2%
부 945
 
2.2%
설 846
 
1.9%
빌 773
 
1.8%
딩 754
 
1.7%
Other values (624) 23403
53.5%
None
ValueCountFrequency (%)
· 1
100.0%

주차장구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
민영
4114 
공영
651 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
민영 4114
86.3%
공영 651
 
13.7%

Length

2023-12-12T15:13:24.310426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:13:24.418958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민영 4114
86.3%
공영 651
 
13.7%

주차장유형
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
자주식
3753 
자주식+기계식
852 
기계식
 
160

Length

Max length7
Median length3
Mean length3.7152151
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자주식 3753
78.8%
자주식+기계식 852
 
17.9%
기계식 160
 
3.4%

Length

2023-12-12T15:13:24.553501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:13:24.669201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자주식 3753
78.8%
자주식+기계식 852
 
17.9%
기계식 160
 
3.4%

소재지도로명주소
Text

Distinct4742
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
2023-12-12T15:13:25.033442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length18.344806
Min length14

Characters and Unicode

Total characters87413
Distinct characters233
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4719 ?
Unique (%)99.0%

Sample

1st row대구광역시 남구 두류공원로17길 33
2nd row대구광역시 남구 중앙대로47길 30
3rd row대구광역시 남구 효성로 71
4th row대구광역시 남구 대명남로 126
5th row대구광역시 남구 성당로30길 55
ValueCountFrequency (%)
대구광역시 4765
24.3%
달서구 1031
 
5.3%
북구 798
 
4.1%
동구 787
 
4.0%
수성구 767
 
3.9%
달성군 521
 
2.7%
중구 347
 
1.8%
서구 301
 
1.5%
달구벌대로 293
 
1.5%
남구 213
 
1.1%
Other values (2596) 9760
49.8%
2023-12-12T15:13:25.580186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14818
17.0%
구 9767
 
11.2%
대 5771
 
6.6%
시 4830
 
5.5%
역 4796
 
5.5%
광 4767
 
5.5%
로 4615
 
5.3%
1 3227
 
3.7%
2 2372
 
2.7%
달 2042
 
2.3%
Other values (223) 30408
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56675
64.8%
Decimal Number 15357
 
17.6%
Space Separator 14818
 
17.0%
Dash Punctuation 562
 
0.6%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 9767
17.2%
대 5771
 
10.2%
시 4830
 
8.5%
역 4796
 
8.5%
광 4767
 
8.4%
로 4615
 
8.1%
달 2042
 
3.6%
서 1691
 
3.0%
길 1664
 
2.9%
성 1623
 
2.9%
Other values (210) 15109
26.7%
Decimal Number
ValueCountFrequency (%)
1 3227
21.0%
2 2372
15.4%
3 1703
11.1%
5 1399
9.1%
4 1359
8.8%
6 1233
 
8.0%
0 1130
 
7.4%
7 1034
 
6.7%
8 984
 
6.4%
9 916
 
6.0%
Space Separator
ValueCountFrequency (%)
14818
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 562
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56675
64.8%
Common 30738
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 9767
17.2%
대 5771
 
10.2%
시 4830
 
8.5%
역 4796
 
8.5%
광 4767
 
8.4%
로 4615
 
8.1%
달 2042
 
3.6%
서 1691
 
3.0%
길 1664
 
2.9%
성 1623
 
2.9%
Other values (210) 15109
26.7%
Common
ValueCountFrequency (%)
14818
48.2%
1 3227
 
10.5%
2 2372
 
7.7%
3 1703
 
5.5%
5 1399
 
4.6%
4 1359
 
4.4%
6 1233
 
4.0%
0 1130
 
3.7%
7 1034
 
3.4%
8 984
 
3.2%
Other values (3) 1479
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56675
64.8%
ASCII 30737
35.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14818
48.2%
1 3227
 
10.5%
2 2372
 
7.7%
3 1703
 
5.5%
5 1399
 
4.6%
4 1359
 
4.4%
6 1233
 
4.0%
0 1130
 
3.7%
7 1034
 
3.4%
8 984
 
3.2%
Other values (2) 1478
 
4.8%
Hangul
ValueCountFrequency (%)
구 9767
17.2%
대 5771
 
10.2%
시 4830
 
8.5%
역 4796
 
8.5%
광 4767
 
8.4%
로 4615
 
8.1%
달 2042
 
3.6%
서 1691
 
3.0%
길 1664
 
2.9%
성 1623
 
2.9%
Other values (210) 15109
26.7%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

Distinct4764
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
2023-12-12T15:13:25.942675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length30
Mean length20.823715
Min length15

Characters and Unicode

Total characters99225
Distinct characters157
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

Unique4763 ?
Unique (%)> 99.9%

Sample

1st row대구광역시 남구 대명동 산 321-1번지
2nd row대구광역시 남구 대명동 1804-1번지
3rd row대구광역시 남구 봉덕동 1319-1번지
4th row대구광역시 남구 대명동 623-2번지
5th row대구광역시 남구 대명동 3050번지
ValueCountFrequency (%)
대구광역시 4765
24.3%
달서구 1031
 
5.3%
북구 799
 
4.1%
동구 787
 
4.0%
수성구 767
 
3.9%
달성군 521
 
2.7%
중구 347
 
1.8%
서구 300
 
1.5%
남구 213
 
1.1%
대명동 162
 
0.8%
Other values (4331) 9915
50.6%
2023-12-12T15:13:26.434180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14842
15.0%
구 9123
 
9.2%
동 5223
 
5.3%
대 5163
 
5.2%
지 4953
 
5.0%
시 4783
 
4.8%
역 4765
 
4.8%
광 4765
 
4.8%
번 4765
 
4.8%
1 4451
 
4.5%
Other values (147) 36392
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61221
61.7%
Decimal Number 19641
 
19.8%
Space Separator 14842
 
15.0%
Dash Punctuation 3521
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 9123
14.9%
동 5223
 
8.5%
대 5163
 
8.4%
지 4953
 
8.1%
시 4783
 
7.8%
역 4765
 
7.8%
광 4765
 
7.8%
번 4765
 
7.8%
달 1561
 
2.5%
성 1556
 
2.5%
Other values (135) 14564
23.8%
Decimal Number
ValueCountFrequency (%)
1 4451
22.7%
2 2479
12.6%
3 1967
10.0%
4 1776
 
9.0%
5 1753
 
8.9%
0 1479
 
7.5%
8 1453
 
7.4%
7 1448
 
7.4%
6 1442
 
7.3%
9 1393
 
7.1%
Space Separator
ValueCountFrequency (%)
14842
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3521
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61221
61.7%
Common 38004
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 9123
14.9%
동 5223
 
8.5%
대 5163
 
8.4%
지 4953
 
8.1%
시 4783
 
7.8%
역 4765
 
7.8%
광 4765
 
7.8%
번 4765
 
7.8%
달 1561
 
2.5%
성 1556
 
2.5%
Other values (135) 14564
23.8%
Common
ValueCountFrequency (%)
14842
39.1%
1 4451
 
11.7%
- 3521
 
9.3%
2 2479
 
6.5%
3 1967
 
5.2%
4 1776
 
4.7%
5 1753
 
4.6%
0 1479
 
3.9%
8 1453
 
3.8%
7 1448
 
3.8%
Other values (2) 2835
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61221
61.7%
ASCII 38004
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14842
39.1%
1 4451
 
11.7%
- 3521
 
9.3%
2 2479
 
6.5%
3 1967
 
5.2%
4 1776
 
4.7%
5 1753
 
4.6%
0 1479
 
3.9%
8 1453
 
3.8%
7 1448
 
3.8%
Other values (2) 2835
 
7.5%
Hangul
ValueCountFrequency (%)
구 9123
14.9%
동 5223
 
8.5%
대 5163
 
8.4%
지 4953
 
8.1%
시 4783
 
7.8%
역 4765
 
7.8%
광 4765
 
7.8%
번 4765
 
7.8%
달 1561
 
2.5%
성 1556
 
2.5%
Other values (135) 14564
23.8%

주차구획수
Real number (ℝ)

Distinct334
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.905352
Minimum9
Maximum2906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:26.567133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q113
median21
Q343
95-th percentile167
Maximum2906
Range2897
Interquartile range (IQR)30

Descriptive statistics

Standard deviation133.76909
Coefficient of variation (CV)2.5771735
Kurtosis143.68214
Mean51.905352
Median Absolute Deviation (MAD)10
Skewness10.099681
Sum247329
Variance17894.171
MonotonicityNot monotonic
2023-12-12T15:13:26.689233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 348
 
7.3%
10 330
 
6.9%
12 235
 
4.9%
11 234
 
4.9%
14 193
 
4.1%
13 184
 
3.9%
15 152
 
3.2%
18 142
 
3.0%
20 139
 
2.9%
17 130
 
2.7%
Other values (324) 2678
56.2%
ValueCountFrequency (%)
9 348
7.3%
10 330
6.9%
11 234
4.9%
12 235
4.9%
13 184
3.9%
14 193
4.1%
15 152
3.2%
16 123
 
2.6%
17 130
 
2.7%
18 142
3.0%
ValueCountFrequency (%)
2906 1
< 0.1%
2498 1
< 0.1%
2403 1
< 0.1%
2203 1
< 0.1%
2100 1
< 0.1%
1941 1
< 0.1%
1624 1
< 0.1%
1437 1
< 0.1%
1401 1
< 0.1%
1289 1
< 0.1%

급지구분
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
3급지
2458 
2급지
1387 
1급지
920 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2급지
2nd row1급지
3rd row3급지
4th row3급지
5th row1급지

Common Values

ValueCountFrequency (%)
3급지 2458
51.6%
2급지 1387
29.1%
1급지 920
 
19.3%

Length

2023-12-12T15:13:26.807627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:13:26.894054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3급지 2458
51.6%
2급지 1387
29.1%
1급지 920
 
19.3%

부제시행구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
미시행
4693 
승용차요일제
 
39
5부제
 
16
2부제
 
12
10부제
 
5

Length

Max length6
Median length3
Mean length3.0256034
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미시행
2nd row미시행
3rd row미시행
4th row5부제
5th row미시행

Common Values

ValueCountFrequency (%)
미시행 4693
98.5%
승용차요일제 39
 
0.8%
5부제 16
 
0.3%
2부제 12
 
0.3%
10부제 5
 
0.1%

Length

2023-12-12T15:13:26.989733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:13:27.117144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 4693
98.5%
승용차요일제 39
 
0.8%
5부제 16
 
0.3%
2부제 12
 
0.3%
10부제 5
 
0.1%

운영요일
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
평일+토요일+일요일
2881 
평일
1109 
평일+토요일
481 
토요일+일요일
 
218
미운영
 
58
Other values (2)
 
18

Length

Max length10
Median length10
Mean length7.4879328
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
평일+토요일+일요일 2881
60.5%
평일 1109
 
23.3%
평일+토요일 481
 
10.1%
토요일+일요일 218
 
4.6%
미운영 58
 
1.2%
일요일 14
 
0.3%
평일+일요일 4
 
0.1%

Length

2023-12-12T15:13:27.250500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:13:27.374321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일+토요일+일요일 2881
60.5%
평일 1109
 
23.3%
평일+토요일 481
 
10.1%
토요일+일요일 218
 
4.6%
미운영 58
 
1.2%
일요일 14
 
0.3%
평일+일요일 4
 
0.1%

평일운영시작시각
Date

MISSING 

Distinct38
Distinct (%)0.8%
Missing290
Missing (%)6.1%
Memory size37.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 20:00:00
2023-12-12T15:13:27.474570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:13:27.835027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

평일운영종료시각
Categorical

Distinct50
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
24:00
1785 
18:00
1008 
22:00
392 
<NA>
290 
23:00
221 
Other values (45)
1069 

Length

Max length5
Median length5
Mean length4.9391396
Min length4

Unique

Unique13 ?
Unique (%)0.3%

Sample

1st row24:00
2nd row24:00
3rd row18:00
4th row22:00
5th row18:00

Common Values

ValueCountFrequency (%)
24:00 1785
37.5%
18:00 1008
21.2%
22:00 392
 
8.2%
<NA> 290
 
6.1%
23:00 221
 
4.6%
20:00 161
 
3.4%
21:00 122
 
2.6%
19:00 119
 
2.5%
02:00 86
 
1.8%
20:30 62
 
1.3%
Other values (40) 519
 
10.9%

Length

2023-12-12T15:13:27.949450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
24:00 1785
37.5%
18:00 1008
21.2%
22:00 392
 
8.2%
na 290
 
6.1%
23:00 221
 
4.6%
20:00 161
 
3.4%
21:00 122
 
2.6%
19:00 119
 
2.5%
02:00 86
 
1.8%
20:30 62
 
1.3%
Other values (40) 519
 
10.9%

토요일운영시작시각
Date

MISSING 

Distinct38
Distinct (%)1.1%
Missing1185
Missing (%)24.9%
Memory size37.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 20:00:00
2023-12-12T15:13:28.069100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:13:28.216367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)

토요일운영종료시각
Text

MISSING 

Distinct56
Distinct (%)1.6%
Missing1185
Missing (%)24.9%
Memory size37.4 KiB
2023-12-12T15:13:28.376621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters17900
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

Unique14 ?
Unique (%)0.4%

Sample

1st row24:00
2nd row22:00
3rd row23:00
4th row24:00
5th row24:00
ValueCountFrequency (%)
24:00 1628
45.5%
22:00 352
 
9.8%
20:00 333
 
9.3%
23:00 196
 
5.5%
18:00 142
 
4.0%
21:00 104
 
2.9%
13:00 99
 
2.8%
02:00 81
 
2.3%
19:00 78
 
2.2%
20:30 54
 
1.5%
Other values (46) 513
 
14.3%
2023-12-12T15:13:28.692379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7501
41.9%
: 3580
20.0%
2 3319
18.5%
4 1680
 
9.4%
1 770
 
4.3%
3 632
 
3.5%
8 159
 
0.9%
9 93
 
0.5%
7 65
 
0.4%
5 63
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 14320
80.0%
Other Punctuation 3580
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7501
52.4%
2 3319
23.2%
4 1680
 
11.7%
1 770
 
5.4%
3 632
 
4.4%
8 159
 
1.1%
9 93
 
0.6%
7 65
 
0.5%
5 63
 
0.4%
6 38
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 3580
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17900
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7501
41.9%
: 3580
20.0%
2 3319
18.5%
4 1680
 
9.4%
1 770
 
4.3%
3 632
 
3.5%
8 159
 
0.9%
9 93
 
0.5%
7 65
 
0.4%
5 63
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17900
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7501
41.9%
: 3580
20.0%
2 3319
18.5%
4 1680
 
9.4%
1 770
 
4.3%
3 632
 
3.5%
8 159
 
0.9%
9 93
 
0.5%
7 65
 
0.4%
5 63
 
0.4%

공휴일운영시작시각
Date

MISSING 

Distinct33
Distinct (%)1.1%
Missing1645
Missing (%)34.5%
Memory size37.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 20:00:00
2023-12-12T15:13:28.839989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:13:28.978964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

공휴일운영종료시각
Categorical

IMBALANCE 

Distinct49
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
24:00
1787 
<NA>
1645 
22:00
328 
23:00
179 
20:00
 
105
Other values (44)
721 

Length

Max length5
Median length5
Mean length4.6547744
Min length4

Unique

Unique12 ?
Unique (%)0.3%

Sample

1st row24:00
2nd row<NA>
3rd row<NA>
4th row22:00
5th row<NA>

Common Values

ValueCountFrequency (%)
24:00 1787
37.5%
<NA> 1645
34.5%
22:00 328
 
6.9%
23:00 179
 
3.8%
20:00 105
 
2.2%
21:00 99
 
2.1%
18:00 95
 
2.0%
02:00 77
 
1.6%
19:00 59
 
1.2%
20:30 53
 
1.1%
Other values (39) 338
 
7.1%

Length

2023-12-12T15:13:29.150739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
24:00 1787
37.5%
na 1645
34.5%
22:00 328
 
6.9%
23:00 179
 
3.8%
20:00 105
 
2.2%
21:00 99
 
2.1%
18:00 95
 
2.0%
02:00 77
 
1.6%
19:00 59
 
1.2%
20:30 53
 
1.1%
Other values (39) 338
 
7.1%

요금정보
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
무료
4364 
유료
 
270
유료+무료
 
131

Length

Max length5
Median length2
Mean length2.0824764
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 4364
91.6%
유료 270
 
5.7%
유료+무료 131
 
2.7%

Length

2023-12-12T15:13:29.332500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:13:29.463933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 4364
91.6%
유료 270
 
5.7%
유료+무료 131
 
2.7%

주차기본시간
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)4.1%
Missing4403
Missing (%)92.4%
Infinite0
Infinite (%)0.0%
Mean38.11326
Minimum10
Maximum310
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:29.549571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20
Q130
median30
Q330
95-th percentile60
Maximum310
Range300
Interquartile range (IQR)0

Descriptive statistics

Standard deviation29.020403
Coefficient of variation (CV)0.76142538
Kurtosis38.248786
Mean38.11326
Median Absolute Deviation (MAD)0
Skewness5.4758497
Sum13797
Variance842.18381
MonotonicityNot monotonic
2023-12-12T15:13:29.685003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
30 271
 
5.7%
60 53
 
1.1%
10 12
 
0.3%
120 6
 
0.1%
40 5
 
0.1%
20 4
 
0.1%
15 3
 
0.1%
210 1
 
< 0.1%
180 1
 
< 0.1%
310 1
 
< 0.1%
Other values (5) 5
 
0.1%
(Missing) 4403
92.4%
ValueCountFrequency (%)
10 12
 
0.3%
11 1
 
< 0.1%
15 3
 
0.1%
20 4
 
0.1%
30 271
5.7%
40 5
 
0.1%
50 1
 
< 0.1%
60 53
 
1.1%
80 1
 
< 0.1%
120 6
 
0.1%
ValueCountFrequency (%)
310 1
 
< 0.1%
241 1
 
< 0.1%
240 1
 
< 0.1%
210 1
 
< 0.1%
180 1
 
< 0.1%
120 6
 
0.1%
80 1
 
< 0.1%
60 53
1.1%
50 1
 
< 0.1%
40 5
 
0.1%

주차기본요금
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)5.8%
Missing4438
Missing (%)93.1%
Infinite0
Infinite (%)0.0%
Mean1359.3272
Minimum200
Maximum30000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:29.827497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile500
Q11000
median1000
Q31500
95-th percentile3000
Maximum30000
Range29800
Interquartile range (IQR)500

Descriptive statistics

Standard deviation1771.3717
Coefficient of variation (CV)1.3031239
Kurtosis210.81424
Mean1359.3272
Median Absolute Deviation (MAD)0
Skewness13.202365
Sum444500
Variance3137757.8
MonotonicityNot monotonic
2023-12-12T15:13:29.962462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1000 164
 
3.4%
2000 39
 
0.8%
800 22
 
0.5%
3000 21
 
0.4%
1500 20
 
0.4%
500 17
 
0.4%
600 12
 
0.3%
300 7
 
0.1%
400 6
 
0.1%
1200 4
 
0.1%
Other values (9) 15
 
0.3%
(Missing) 4438
93.1%
ValueCountFrequency (%)
200 1
 
< 0.1%
300 7
 
0.1%
400 6
 
0.1%
500 17
 
0.4%
600 12
 
0.3%
700 2
 
< 0.1%
800 22
 
0.5%
900 2
 
< 0.1%
1000 164
3.4%
1200 4
 
0.1%
ValueCountFrequency (%)
30000 1
 
< 0.1%
5000 4
 
0.1%
4000 1
 
< 0.1%
3500 1
 
< 0.1%
3000 21
0.4%
2400 1
 
< 0.1%
2000 39
0.8%
1800 2
 
< 0.1%
1500 20
0.4%
1200 4
 
0.1%

추가단위시간
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)1.6%
Missing4389
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean18.896277
Minimum10
Maximum120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:30.078969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile10
Q110
median10
Q330
95-th percentile60
Maximum120
Range110
Interquartile range (IQR)20

Descriptive statistics

Standard deviation15.673073
Coefficient of variation (CV)0.82942652
Kurtosis9.5694864
Mean18.896277
Median Absolute Deviation (MAD)0
Skewness2.5671657
Sum7105
Variance245.64521
MonotonicityNot monotonic
2023-12-12T15:13:30.200408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
10 247
 
5.2%
30 93
 
2.0%
60 24
 
0.5%
15 7
 
0.1%
20 3
 
0.1%
120 2
 
< 0.1%
(Missing) 4389
92.1%
ValueCountFrequency (%)
10 247
5.2%
15 7
 
0.1%
20 3
 
0.1%
30 93
 
2.0%
60 24
 
0.5%
120 2
 
< 0.1%
ValueCountFrequency (%)
120 2
 
< 0.1%
60 24
 
0.5%
30 93
 
2.0%
20 3
 
0.1%
15 7
 
0.1%
10 247
5.2%

추가단위요금
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)5.6%
Missing4389
Missing (%)92.1%
Infinite0
Infinite (%)0.0%
Mean967.02128
Minimum100
Maximum50000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:30.327523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile200
Q1300
median500
Q31000
95-th percentile2000
Maximum50000
Range49900
Interquartile range (IQR)700

Descriptive statistics

Standard deviation2714.3181
Coefficient of variation (CV)2.8068856
Kurtosis286.40795
Mean967.02128
Median Absolute Deviation (MAD)200
Skewness16.06479
Sum363600
Variance7367522.8
MonotonicityNot monotonic
2023-12-12T15:13:30.472721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
500 114
 
2.4%
1000 97
 
2.0%
300 64
 
1.3%
2000 29
 
0.6%
200 24
 
0.5%
400 11
 
0.2%
1500 7
 
0.1%
800 7
 
0.1%
3000 4
 
0.1%
100 3
 
0.1%
Other values (11) 16
 
0.3%
(Missing) 4389
92.1%
ValueCountFrequency (%)
100 3
 
0.1%
150 2
 
< 0.1%
200 24
 
0.5%
250 2
 
< 0.1%
300 64
1.3%
400 11
 
0.2%
500 114
2.4%
600 3
 
0.1%
800 7
 
0.1%
1000 97
2.0%
ValueCountFrequency (%)
50000 1
 
< 0.1%
11000 1
 
< 0.1%
10000 1
 
< 0.1%
5000 2
 
< 0.1%
4000 1
 
< 0.1%
3500 1
 
< 0.1%
3000 4
 
0.1%
2500 1
 
< 0.1%
2000 29
0.6%
1500 7
 
0.1%

1일주차권요금적용시간
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)10.6%
Missing4614
Missing (%)96.8%
Infinite0
Infinite (%)0.0%
Mean13.13245
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:30.601552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median10
Q324
95-th percentile24
Maximum24
Range23
Interquartile range (IQR)19

Descriptive statistics

Standard deviation9.1328531
Coefficient of variation (CV)0.69544167
Kurtosis-1.7449093
Mean13.13245
Median Absolute Deviation (MAD)7
Skewness0.21853708
Sum1983
Variance83.409007
MonotonicityNot monotonic
2023-12-12T15:13:30.752547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
24 59
 
1.2%
6 13
 
0.3%
4 13
 
0.3%
3 12
 
0.3%
5 11
 
0.2%
1 7
 
0.1%
10 7
 
0.1%
7 7
 
0.1%
8 6
 
0.1%
11 5
 
0.1%
Other values (6) 11
 
0.2%
(Missing) 4614
96.8%
ValueCountFrequency (%)
1 7
0.1%
2 2
 
< 0.1%
3 12
0.3%
4 13
0.3%
5 11
0.2%
6 13
0.3%
7 7
0.1%
8 6
0.1%
9 2
 
< 0.1%
10 7
0.1%
ValueCountFrequency (%)
24 59
1.2%
16 1
 
< 0.1%
14 3
 
0.1%
13 1
 
< 0.1%
12 2
 
< 0.1%
11 5
 
0.1%
10 7
 
0.1%
9 2
 
< 0.1%
8 6
 
0.1%
7 7
 
0.1%

1일주차권요금
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)11.3%
Missing4544
Missing (%)95.4%
Infinite0
Infinite (%)0.0%
Mean17276.018
Minimum1000
Maximum278000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:30.891711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile4000
Q110000
median15000
Q320000
95-th percentile30000
Maximum278000
Range277000
Interquartile range (IQR)10000

Descriptive statistics

Standard deviation21852.05
Coefficient of variation (CV)1.2648777
Kurtosis98.13716
Mean17276.018
Median Absolute Deviation (MAD)5000
Skewness8.8808785
Sum3818000
Variance4.775121 × 108
MonotonicityNot monotonic
2023-12-12T15:13:31.037823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10000 49
 
1.0%
15000 41
 
0.9%
20000 40
 
0.8%
30000 19
 
0.4%
12000 13
 
0.3%
6000 10
 
0.2%
4000 7
 
0.1%
3000 6
 
0.1%
5000 6
 
0.1%
8000 6
 
0.1%
Other values (15) 24
 
0.5%
(Missing) 4544
95.4%
ValueCountFrequency (%)
1000 1
 
< 0.1%
2000 1
 
< 0.1%
2500 1
 
< 0.1%
3000 6
0.1%
4000 7
0.1%
5000 6
0.1%
6000 10
0.2%
7000 1
 
< 0.1%
7500 1
 
< 0.1%
8000 6
0.1%
ValueCountFrequency (%)
278000 1
 
< 0.1%
150000 1
 
< 0.1%
50000 4
 
0.1%
48000 1
 
< 0.1%
40000 2
 
< 0.1%
35000 1
 
< 0.1%
30000 19
0.4%
24000 5
 
0.1%
23000 1
 
< 0.1%
20000 40
0.8%

월정기권요금
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)26.6%
Missing4686
Missing (%)98.3%
Infinite0
Infinite (%)0.0%
Mean75088.608
Minimum10000
Maximum200000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:31.185429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile20000
Q150000
median77000
Q3100000
95-th percentile123000
Maximum200000
Range190000
Interquartile range (IQR)50000

Descriptive statistics

Standard deviation35386.942
Coefficient of variation (CV)0.47126911
Kurtosis1.2772176
Mean75088.608
Median Absolute Deviation (MAD)23000
Skewness0.6047026
Sum5932000
Variance1.2522356 × 109
MonotonicityNot monotonic
2023-12-12T15:13:31.347768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
100000 16
 
0.3%
60000 10
 
0.2%
80000 9
 
0.2%
50000 5
 
0.1%
40000 5
 
0.1%
70000 5
 
0.1%
120000 4
 
0.1%
20000 4
 
0.1%
90000 4
 
0.1%
66000 3
 
0.1%
Other values (11) 14
 
0.3%
(Missing) 4686
98.3%
ValueCountFrequency (%)
10000 2
 
< 0.1%
15000 1
 
< 0.1%
20000 4
 
0.1%
30000 3
 
0.1%
40000 5
0.1%
44000 1
 
< 0.1%
50000 5
0.1%
60000 10
0.2%
66000 3
 
0.1%
70000 5
0.1%
ValueCountFrequency (%)
200000 1
 
< 0.1%
160000 1
 
< 0.1%
154000 1
 
< 0.1%
150000 1
 
< 0.1%
120000 4
 
0.1%
100000 16
0.3%
99000 1
 
< 0.1%
90000 4
 
0.1%
85000 1
 
< 0.1%
80000 9
0.2%

결제방법
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
<NA>
4358 
신용카드
 
212
현금+신용카드
 
134
현금
 
61

Length

Max length7
Median length4
Mean length4.0587618
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4358
91.5%
신용카드 212
 
4.4%
현금+신용카드 134
 
2.8%
현금 61
 
1.3%

Length

2023-12-12T15:13:31.510191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:13:31.619300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4358
91.5%
신용카드 212
 
4.4%
현금+신용카드 134
 
2.8%
현금 61
 
1.3%

특기사항
Text

MISSING 

Distinct1331
Distinct (%)28.7%
Missing129
Missing (%)2.7%
Memory size37.4 KiB
2023-12-12T15:13:31.966381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length135
Median length117
Mean length17.029983
Min length2

Characters and Unicode

Total characters78951
Distinct characters485
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1130 ?
Unique (%)24.4%

Sample

1st row외래진료 4시간 무료/입퇴원 8시간 무료/수술일 12시간 무료/응급진료 당일무료
2nd row학교 관계자 외 주차금지
3rd row학교 관계자 이외 주차금지
4th row상가 이용객 주차장
5th row학교 관계자 이외에 주차금지 / 방과후 주차금지
ValueCountFrequency (%)
주차금지 3237
 
16.1%
이외 1676
 
8.4%
외 1200
 
6.0%
이용객 885
 
4.4%
건물 746
 
3.7%
상가 606
 
3.0%
주차장 520
 
2.6%
505
 
2.5%
전용 445
 
2.2%
용무 391
 
1.9%
Other values (1786) 9844
49.1%
2023-12-12T15:13:32.578247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15423
19.5%
차 5827
 
7.4%
주 5172
 
6.6%
금 3655
 
4.6%
이 3638
 
4.6%
지 3590
 
4.5%
외 3220
 
4.1%
용 3187
 
4.0%
객 1814
 
2.3%
가 1469
 
1.9%
Other values (475) 31956
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 57852
73.3%
Space Separator 15423
 
19.5%
Decimal Number 2984
 
3.8%
Other Punctuation 2236
 
2.8%
Math Symbol 168
 
0.2%
Uppercase Letter 84
 
0.1%
Dash Punctuation 66
 
0.1%
Close Punctuation 62
 
0.1%
Open Punctuation 62
 
0.1%
Lowercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 5827
 
10.1%
주 5172
 
8.9%
금 3655
 
6.3%
이 3638
 
6.3%
지 3590
 
6.2%
외 3220
 
5.6%
용 3187
 
5.5%
객 1814
 
3.1%
가 1469
 
2.5%
무 1455
 
2.5%
Other values (416) 24825
42.9%
Uppercase Letter
ValueCountFrequency (%)
G 8
 
9.5%
I 7
 
8.3%
K 6
 
7.1%
S 6
 
7.1%
V 6
 
7.1%
C 6
 
7.1%
M 5
 
6.0%
B 5
 
6.0%
A 5
 
6.0%
P 4
 
4.8%
Other values (14) 26
31.0%
Decimal Number
ValueCountFrequency (%)
0 1345
45.1%
1 452
 
15.1%
2 308
 
10.3%
3 303
 
10.2%
5 156
 
5.2%
9 148
 
5.0%
4 129
 
4.3%
8 72
 
2.4%
6 44
 
1.5%
7 27
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
t 3
21.4%
a 2
14.3%
m 2
14.3%
x 1
 
7.1%
e 1
 
7.1%
g 1
 
7.1%
n 1
 
7.1%
i 1
 
7.1%
k 1
 
7.1%
r 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
/ 1027
45.9%
. 685
30.6%
: 501
22.4%
% 20
 
0.9%
? 1
 
< 0.1%
& 1
 
< 0.1%
; 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 160
95.2%
= 5
 
3.0%
+ 2
 
1.2%
> 1
 
0.6%
Space Separator
ValueCountFrequency (%)
15423
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 57852
73.3%
Common 21001
 
26.6%
Latin 98
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 5827
 
10.1%
주 5172
 
8.9%
금 3655
 
6.3%
이 3638
 
6.3%
지 3590
 
6.2%
외 3220
 
5.6%
용 3187
 
5.5%
객 1814
 
3.1%
가 1469
 
2.5%
무 1455
 
2.5%
Other values (416) 24825
42.9%
Latin
ValueCountFrequency (%)
G 8
 
8.2%
I 7
 
7.1%
K 6
 
6.1%
S 6
 
6.1%
V 6
 
6.1%
C 6
 
6.1%
M 5
 
5.1%
B 5
 
5.1%
A 5
 
5.1%
P 4
 
4.1%
Other values (24) 40
40.8%
Common
ValueCountFrequency (%)
15423
73.4%
0 1345
 
6.4%
/ 1027
 
4.9%
. 685
 
3.3%
: 501
 
2.4%
1 452
 
2.2%
2 308
 
1.5%
3 303
 
1.4%
~ 160
 
0.8%
5 156
 
0.7%
Other values (15) 641
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 57852
73.3%
ASCII 21099
 
26.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15423
73.1%
0 1345
 
6.4%
/ 1027
 
4.9%
. 685
 
3.2%
: 501
 
2.4%
1 452
 
2.1%
2 308
 
1.5%
3 303
 
1.4%
~ 160
 
0.8%
5 156
 
0.7%
Other values (49) 739
 
3.5%
Hangul
ValueCountFrequency (%)
차 5827
 
10.1%
주 5172
 
8.9%
금 3655
 
6.3%
이 3638
 
6.3%
지 3590
 
6.2%
외 3220
 
5.6%
용 3187
 
5.5%
객 1814
 
3.1%
가 1469
 
2.5%
무 1455
 
2.5%
Other values (416) 24825
42.9%

관리기관명
Text

MISSING 

Distinct3947
Distinct (%)96.0%
Missing652
Missing (%)13.7%
Memory size37.4 KiB
2023-12-12T15:13:32.882690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length23
Mean length7.8969122
Min length1

Characters and Unicode

Total characters32480
Distinct characters682
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3823 ?
Unique (%)92.9%

Sample

1st row대구가톨릭대학교병원
2nd row경북예술고등학교
3rd row봉덕초등학교
4th row복만네장터
5th row성명초등학교
ValueCountFrequency (%)
주차장 269
 
4.5%
부설 77
 
1.3%
월성동 42
 
0.7%
이곡동 38
 
0.6%
서구 38
 
0.6%
상인동 32
 
0.5%
호텔 26
 
0.4%
동천동 26
 
0.4%
북구 26
 
0.4%
평리동 25
 
0.4%
Other values (4348) 5388
90.0%
2023-12-12T15:13:33.332647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1875
 
5.8%
대 1073
 
3.3%
구 926
 
2.9%
동 892
 
2.7%
교 676
 
2.1%
빌 632
 
1.9%
딩 619
 
1.9%
지 547
 
1.7%
1 539
 
1.7%
장 524
 
1.6%
Other values (672) 24177
74.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26933
82.9%
Decimal Number 2499
 
7.7%
Space Separator 1875
 
5.8%
Uppercase Letter 650
 
2.0%
Dash Punctuation 420
 
1.3%
Lowercase Letter 37
 
0.1%
Open Punctuation 23
 
0.1%
Close Punctuation 23
 
0.1%
Other Punctuation 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1073
 
4.0%
구 926
 
3.4%
동 892
 
3.3%
교 676
 
2.5%
빌 632
 
2.3%
딩 619
 
2.3%
지 547
 
2.0%
장 524
 
1.9%
스 523
 
1.9%
성 509
 
1.9%
Other values (615) 20012
74.3%
Uppercase Letter
ValueCountFrequency (%)
S 66
 
10.2%
G 63
 
9.7%
K 54
 
8.3%
B 53
 
8.2%
D 48
 
7.4%
T 48
 
7.4%
M 45
 
6.9%
C 33
 
5.1%
I 28
 
4.3%
L 28
 
4.3%
Other values (14) 184
28.3%
Lowercase Letter
ValueCountFrequency (%)
s 6
16.2%
e 5
13.5%
a 4
10.8%
c 4
10.8%
w 3
8.1%
h 3
8.1%
k 2
 
5.4%
l 2
 
5.4%
j 1
 
2.7%
z 1
 
2.7%
Other values (6) 6
16.2%
Decimal Number
ValueCountFrequency (%)
1 539
21.6%
2 357
14.3%
3 253
10.1%
4 231
9.2%
5 206
 
8.2%
0 200
 
8.0%
6 190
 
7.6%
8 184
 
7.4%
9 173
 
6.9%
7 166
 
6.6%
Other Punctuation
ValueCountFrequency (%)
& 13
65.0%
. 6
30.0%
· 1
 
5.0%
Space Separator
ValueCountFrequency (%)
1875
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 420
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26933
82.9%
Common 4860
 
15.0%
Latin 687
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1073
 
4.0%
구 926
 
3.4%
동 892
 
3.3%
교 676
 
2.5%
빌 632
 
2.3%
딩 619
 
2.3%
지 547
 
2.0%
장 524
 
1.9%
스 523
 
1.9%
성 509
 
1.9%
Other values (615) 20012
74.3%
Latin
ValueCountFrequency (%)
S 66
 
9.6%
G 63
 
9.2%
K 54
 
7.9%
B 53
 
7.7%
D 48
 
7.0%
T 48
 
7.0%
M 45
 
6.6%
C 33
 
4.8%
I 28
 
4.1%
L 28
 
4.1%
Other values (30) 221
32.2%
Common
ValueCountFrequency (%)
1875
38.6%
1 539
 
11.1%
- 420
 
8.6%
2 357
 
7.3%
3 253
 
5.2%
4 231
 
4.8%
5 206
 
4.2%
0 200
 
4.1%
6 190
 
3.9%
8 184
 
3.8%
Other values (7) 405
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26933
82.9%
ASCII 5546
 
17.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1875
33.8%
1 539
 
9.7%
- 420
 
7.6%
2 357
 
6.4%
3 253
 
4.6%
4 231
 
4.2%
5 206
 
3.7%
0 200
 
3.6%
6 190
 
3.4%
8 184
 
3.3%
Other values (46) 1091
19.7%
Hangul
ValueCountFrequency (%)
대 1073
 
4.0%
구 926
 
3.4%
동 892
 
3.3%
교 676
 
2.5%
빌 632
 
2.3%
딩 619
 
2.3%
지 547
 
2.0%
장 524
 
1.9%
스 523
 
1.9%
성 509
 
1.9%
Other values (615) 20012
74.3%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct2691
Distinct (%)98.0%
Missing2018
Missing (%)42.4%
Memory size37.4 KiB
2023-12-12T15:13:33.590662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12
Mean length11.995632
Min length3

Characters and Unicode

Total characters32952
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2642 ?
Unique (%)96.2%

Sample

1st row1688-0077
2nd row053-235-8299
3rd row053-234-0571
4th row0507-1376-9754
5th row053-234-0910
ValueCountFrequency (%)
1522-3232 6
 
0.2%
182 4
 
0.1%
1522-0741 3
 
0.1%
053-660-5100 2
 
0.1%
053-760-2222 2
 
0.1%
053-527-5462 2
 
0.1%
053-651-6108 2
 
0.1%
053-587-9191 2
 
0.1%
053-743-3014 2
 
0.1%
1577-1000 2
 
0.1%
Other values (2681) 2720
99.0%
2023-12-12T15:13:34.003947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5569
16.9%
- 5419
16.4%
5 5008
15.2%
3 4683
14.2%
2 2273
6.9%
1 2195
 
6.7%
6 1923
 
5.8%
7 1805
 
5.5%
8 1429
 
4.3%
4 1422
 
4.3%
Other values (3) 1226
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27526
83.5%
Dash Punctuation 5419
 
16.4%
Math Symbol 5
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5569
20.2%
5 5008
18.2%
3 4683
17.0%
2 2273
8.3%
1 2195
 
8.0%
6 1923
 
7.0%
7 1805
 
6.6%
8 1429
 
5.2%
4 1422
 
5.2%
9 1219
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 5419
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 32952
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5569
16.9%
- 5419
16.4%
5 5008
15.2%
3 4683
14.2%
2 2273
6.9%
1 2195
 
6.7%
6 1923
 
5.8%
7 1805
 
5.5%
8 1429
 
4.3%
4 1422
 
4.3%
Other values (3) 1226
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 32952
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5569
16.9%
- 5419
16.4%
5 5008
15.2%
3 4683
14.2%
2 2273
6.9%
1 2195
 
6.7%
6 1923
 
5.8%
7 1805
 
5.5%
8 1429
 
4.3%
4 1422
 
4.3%
Other values (3) 1226
 
3.7%

주차장개방공유
Boolean

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size4.8 KiB
False
4760 
True
 
5
ValueCountFrequency (%)
False 4760
99.9%
True 5
 
0.1%
2023-12-12T15:13:34.140545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

개방공유면수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
<NA>
4760 
21
 
2
43
 
1
13
 
1
20
 
1

Length

Max length4
Median length4
Mean length3.9979014
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 4760
99.9%
21 2
 
< 0.1%
43 1
 
< 0.1%
13 1
 
< 0.1%
20 1
 
< 0.1%

Length

2023-12-12T15:13:34.295944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:13:34.468611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 4760
99.9%
21 2
 
< 0.1%
43 1
 
< 0.1%
13 1
 
< 0.1%
20 1
 
< 0.1%

개방공유시작
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing4761
Missing (%)99.9%
Memory size37.4 KiB
Minimum2020-10-01 00:00:00
Maximum2022-10-28 00:00:00
2023-12-12T15:13:34.568346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:13:34.681923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

개방공유종료
Date

MISSING 

Distinct4
Distinct (%)100.0%
Missing4761
Missing (%)99.9%
Memory size37.4 KiB
Minimum2022-09-30 00:00:00
Maximum2023-10-31 00:00:00
2023-12-12T15:13:34.815887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:13:34.951982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=4)

평일개방공유시작시각
Date

MISSING 

Distinct3
Distinct (%)60.0%
Missing4760
Missing (%)99.9%
Memory size37.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 17:00:00
2023-12-12T15:13:35.063920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:13:35.168811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

평일개방공유종료시각
Text

MISSING 

Distinct3
Distinct (%)60.0%
Missing4760
Missing (%)99.9%
Memory size37.4 KiB
2023-12-12T15:13:35.299469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters25
Distinct characters8
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

Unique1 ?
Unique (%)20.0%

Sample

1st row24:00
2nd row24:00
3rd row07:30
4th row18:00
5th row18:00
ValueCountFrequency (%)
24:00 2
40.0%
18:00 2
40.0%
07:30 1
20.0%
2023-12-12T15:13:35.532287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
40.0%
: 5
20.0%
2 2
 
8.0%
4 2
 
8.0%
1 2
 
8.0%
8 2
 
8.0%
7 1
 
4.0%
3 1
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 20
80.0%
Other Punctuation 5
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10
50.0%
2 2
 
10.0%
4 2
 
10.0%
1 2
 
10.0%
8 2
 
10.0%
7 1
 
5.0%
3 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
: 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 25
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10
40.0%
: 5
20.0%
2 2
 
8.0%
4 2
 
8.0%
1 2
 
8.0%
8 2
 
8.0%
7 1
 
4.0%
3 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
40.0%
: 5
20.0%
2 2
 
8.0%
4 2
 
8.0%
1 2
 
8.0%
8 2
 
8.0%
7 1
 
4.0%
3 1
 
4.0%

토요일개방공유시작시간
Date

MISSING 

Distinct2
Distinct (%)50.0%
Missing4761
Missing (%)99.9%
Memory size37.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 09:00:00
2023-12-12T15:13:35.659808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:13:35.769691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

토요일개방공유종료시간
Text

MISSING 

Distinct2
Distinct (%)50.0%
Missing4761
Missing (%)99.9%
Memory size37.4 KiB
2023-12-12T15:13:35.900341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters20
Distinct characters6
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

Unique0 ?
Unique (%)0.0%

Sample

1st row24:00
2nd row24:00
3rd row18:00
4th row18:00
ValueCountFrequency (%)
24:00 2
50.0%
18:00 2
50.0%
2023-12-12T15:13:36.185120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8
40.0%
: 4
20.0%
2 2
 
10.0%
4 2
 
10.0%
1 2
 
10.0%
8 2
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16
80.0%
Other Punctuation 4
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8
50.0%
2 2
 
12.5%
4 2
 
12.5%
1 2
 
12.5%
8 2
 
12.5%
Other Punctuation
ValueCountFrequency (%)
: 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8
40.0%
: 4
20.0%
2 2
 
10.0%
4 2
 
10.0%
1 2
 
10.0%
8 2
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8
40.0%
: 4
20.0%
2 2
 
10.0%
4 2
 
10.0%
1 2
 
10.0%
8 2
 
10.0%

일요일개방공유시작시간
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing4763
Missing (%)> 99.9%
Memory size37.4 KiB
Minimum2023-12-12 00:00:00
Maximum2023-12-12 00:00:00
2023-12-12T15:13:36.367105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:13:36.489184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

일요일개방공유종료시간
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing4763
Missing (%)> 99.9%
Memory size37.4 KiB
2023-12-12T15:13:36.591449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters10
Distinct characters4
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

Unique0 ?
Unique (%)0.0%

Sample

1st row24:00
2nd row24:00
ValueCountFrequency (%)
24:00 2
100.0%
2023-12-12T15:13:36.850517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
40.0%
2 2
20.0%
4 2
20.0%
: 2
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8
80.0%
Other Punctuation 2
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4
50.0%
2 2
25.0%
4 2
25.0%
Other Punctuation
ValueCountFrequency (%)
: 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4
40.0%
2 2
20.0%
4 2
20.0%
: 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
40.0%
2 2
20.0%
4 2
20.0%
: 2
20.0%

개방공유특기사항
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing4765
Missing (%)100.0%
Memory size42.0 KiB

위도
Real number (ℝ)

Distinct4633
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.856143
Minimum35.631423
Maximum35.999136
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:37.044273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.631423
5-th percentile35.763279
Q135.837628
median35.860007
Q335.879043
95-th percentile35.942207
Maximum35.999136
Range0.367713
Interquartile range (IQR)0.041415

Descriptive statistics

Standard deviation0.053131951
Coefficient of variation (CV)0.0014818089
Kurtosis3.9341195
Mean35.856143
Median Absolute Deviation (MAD)0.020938
Skewness-1.2739277
Sum170854.52
Variance0.0028230043
MonotonicityNot monotonic
2023-12-12T15:13:37.669410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.843552 5
 
0.1%
35.843553 5
 
0.1%
35.844209 4
 
0.1%
35.942934 3
 
0.1%
35.875838 3
 
0.1%
35.842777 3
 
0.1%
35.83866 3
 
0.1%
35.859342 2
 
< 0.1%
35.862047 2
 
< 0.1%
35.840595 2
 
< 0.1%
Other values (4623) 4733
99.3%
ValueCountFrequency (%)
35.631423 1
< 0.1%
35.635366 1
< 0.1%
35.63783 1
< 0.1%
35.640103 1
< 0.1%
35.640137 1
< 0.1%
35.640147 1
< 0.1%
35.640164 1
< 0.1%
35.640511 1
< 0.1%
35.64057 1
< 0.1%
35.640572 1
< 0.1%
ValueCountFrequency (%)
35.999136 1
< 0.1%
35.998314 1
< 0.1%
35.996331 1
< 0.1%
35.994428 1
< 0.1%
35.994153 1
< 0.1%
35.992896 1
< 0.1%
35.992763 1
< 0.1%
35.992539 1
< 0.1%
35.99219 1
< 0.1%
35.991924 1
< 0.1%

경도
Real number (ℝ)

Distinct4691
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58016
Minimum128.37761
Maximum128.75655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size42.0 KiB
2023-12-12T15:13:37.905072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.37761
5-th percentile128.4574
Q1128.53534
median128.58102
Q3128.62491
95-th percentile128.70865
Maximum128.75655
Range0.378937
Interquartile range (IQR)0.089573

Descriptive statistics

Standard deviation0.070446298
Coefficient of variation (CV)0.00054787844
Kurtosis-0.20662885
Mean128.58016
Median Absolute Deviation (MAD)0.04464
Skewness0.012769456
Sum612684.46
Variance0.0049626809
MonotonicityNot monotonic
2023-12-12T15:13:38.087351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.490094 3
 
0.1%
128.617431 2
 
< 0.1%
128.616111 2
 
< 0.1%
128.640737 2
 
< 0.1%
128.528577 2
 
< 0.1%
128.48753 2
 
< 0.1%
128.554507 2
 
< 0.1%
128.619036 2
 
< 0.1%
128.549037 2
 
< 0.1%
128.559817 2
 
< 0.1%
Other values (4681) 4744
99.6%
ValueCountFrequency (%)
128.377614 1
< 0.1%
128.389184 1
< 0.1%
128.39288 1
< 0.1%
128.393101 1
< 0.1%
128.394022 1
< 0.1%
128.394068 1
< 0.1%
128.394398 1
< 0.1%
128.396244 1
< 0.1%
128.397463 1
< 0.1%
128.398147 1
< 0.1%
ValueCountFrequency (%)
128.756551 1
< 0.1%
128.753428 1
< 0.1%
128.752504 1
< 0.1%
128.751567 1
< 0.1%
128.749553 1
< 0.1%
128.749456 1
< 0.1%
128.749378 1
< 0.1%
128.7493 1
< 0.1%
128.749059 1
< 0.1%
128.74899 1
< 0.1%

데이터기준일자
Date

Distinct25
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size37.4 KiB
Minimum2022-07-18 00:00:00
Maximum2022-10-04 00:00:00
2023-12-12T15:13:38.224161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:13:38.347603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

Sample

주차장아이디구군코드주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호주차장개방공유개방공유면수개방공유시작개방공유종료평일개방공유시작시각평일개방공유종료시각토요일개방공유시작시간토요일개방공유종료시간일요일개방공유시작시간일요일개방공유종료시간개방공유특기사항위도경도데이터기준일자
0272000000127200대구가톨릭대학교병원 주차장민영자주식대구광역시 남구 두류공원로17길 33대구광역시 남구 대명동 산 321-1번지12892급지미시행평일+토요일+일요일00:0024:0000:0024:0000:0024:00유료+무료3080010300<NA><NA><NA>현금외래진료 4시간 무료/입퇴원 8시간 무료/수술일 12시간 무료/응급진료 당일무료대구가톨릭대학교병원1688-0077N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.843522128.5678382022-07-25
1272000000227200경북예술고등학교 부설주차장공영자주식대구광역시 남구 중앙대로47길 30대구광역시 남구 대명동 1804-1번지641급지미시행평일08:0024:00<NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA>학교 관계자 외 주차금지경북예술고등학교053-235-8299N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.854618128.5883652022-09-23
2272000000327200봉덕초등학교 부설주차장공영자주식대구광역시 남구 효성로 71대구광역시 남구 봉덕동 1319-1번지603급지미시행평일08:0018:00<NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA>학교 관계자 이외 주차금지봉덕초등학교053-234-0571N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.839402128.5975092022-08-09
3272000000527200복만네장터 부설주차장민영자주식대구광역시 남구 대명남로 126대구광역시 남구 대명동 623-2번지133급지5부제평일+토요일+일요일08:0022:0008:0022:0008:0022:00무료<NA><NA><NA><NA><NA><NA><NA><NA>상가 이용객 주차장복만네장터0507-1376-9754N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.834621128.5724582022-07-26
4272000000627200성명초등학교 주차장공영자주식대구광역시 남구 성당로30길 55대구광역시 남구 대명동 3050번지291급지미시행평일08:0018:00<NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA>학교 관계자 이외에 주차금지 / 방과후 주차금지성명초등학교053-234-0910N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.845836128.5708972022-07-26
5272000000927200카펠라 부설주차장민영자주식대구광역시 남구 앞산순환로 455대구광역시 남구 대명동 546-5번지133급지미시행평일+토요일+일요일10:0022:0010:0023:0010:0023:00무료<NA><NA><NA><NA><NA><NA><NA><NA>카페 이용객 주차장카펠라0507-1397-9046N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.832204128.5742042022-07-26
6272000018627200경상중학교 부설주차장공영자주식대구광역시 남구 현충로48길 33대구광역시 남구 대명동 1819-11번지111급지미시행평일08:0018:00<NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA>학교 관계자 이외 주차금지경상중학교053-234-6100N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.85237128.5863682022-08-31
7272000001127200대구대학교 주차장공영자주식대구광역시 남구 성당로50길 33대구광역시 남구 대명동 2288번지1531급지미시행평일+토요일+일요일00:0024:0000:0024:0000:0024:00무료<NA><NA><NA><NA><NA><NA><NA><NA>교직원 차량 외 주차금지대구대학교053-850-5000N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.856249128.5756962022-07-26
8272000001227200영선초등학교 주차장공영자주식대구광역시 남구 영선길 96대구광역시 남구 이천동 447번지562급지미시행평일08:0018:00<NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA>학교 관계자 이외 주차금지영선초등학교053-234-0479N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.853128.595632022-09-23
9272000001427200관문교회 주차장민영자주식대구광역시 남구 월배로94길 45대구광역시 남구 대명동 2768-17번지212급지미시행평일+토요일+일요일00:0024:0000:0024:0000:0024:00무료<NA><NA><NA><NA><NA><NA><NA><NA>주차장 주민개방 월.화.목.금 00:00-24:00관문교회053-621-5774Y212020-11-012022-10-3100:0024:00<NA><NA><NA><NA><NA>35.833295128.5578212022-07-21
주차장아이디구군코드주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호주차장개방공유개방공유면수개방공유시작개방공유종료평일개방공유시작시각평일개방공유종료시각토요일개방공유시작시간토요일개방공유종료시간일요일개방공유시작시간일요일개방공유종료시간개방공유특기사항위도경도데이터기준일자
4755277100033727710가창성당 부설주차장민영자주식대구광역시 달성군 가창면 가창로 1118대구광역시 달성군 가창면 용계리 31-1번지123급지미시행토요일+일요일<NA><NA>12:0020:0000:0024:00무료<NA><NA><NA><NA><NA><NA><NA><NA>월수금 09:30 미사 / 화목 19:30 미사가창성당053-768-8942N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.803872128.6229252022-08-09
4756277100023427710워터파크 스파밸리 부설주차장민영자주식대구광역시 달성군 가창면 가창로 891대구광역시 달성군 가창면 냉천리 27-9번지1873급지미시행평일+토요일+일요일09:0018:0009:0018:0009:0018:00유료+무료3030003030002<NA><NA>신용카드월~목: 입장고객 차량번호 등록시 무료 / 금.토.일.공휴일 : 입장고객 차량번호 등록시 3.000원워터파크 스파밸리1688-8511N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.787924128.6353972022-08-09
4757277100045427710씨엘드포레 부설주차장민영자주식대구광역시 달성군 가창면 가창로 891대구광역시 달성군 가창면 냉천리 27-47번지1753급지미시행평일+토요일+일요일10:0019:0010:0019:0010:0019:00무료<NA><NA><NA><NA><NA><NA><NA><NA>예식장 이용객 외 주차금지씨엘드포레053-767-2330N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.788874128.6339452022-08-09
4758277100050027710한국마사회 대구지사 주차장민영자주식대구광역시 달성군 가창면 가창로175길 6대구광역시 달성군 가창면 냉천리 27-17번지4153급지미시행토요일+일요일<NA><NA>11:0022:0008:0022:00무료<NA><NA><NA><NA><NA><NA><NA><NA>경마일 (금.토.일) 개방 / 이용객 외 주차금지한국마사회 대구지사<NA>N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.788631128.6363122022-09-23
4759277100029127710하나로마트 가창농협본점 주차장민영자주식+기계식대구광역시 달성군 가창면 가창로 1122대구광역시 달성군 가창면 용계리 30-7번지203급지미시행평일08:3018:30<NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA>이용객 외 주차금지 / 운영시간 외 무료개방하나로마트 가창농협본점053-768-6500N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.80405128.6232662022-09-23
4760277100049527710명곡리 166 주차장민영자주식대구광역시 달성군 화원읍 명천로 206대구광역시 달성군 화원읍 명곡리 166번지243급지미시행평일+토요일09:0021:0009:0021:00<NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA>상가이용객 이외 주차금지명곡리 166053-635-0005N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.799941128.4959442022-08-09
4761277100051927710화인타워 주차장민영자주식+기계식대구광역시 달성군 구지면 국가산단대로42길 5-23대구광역시 달성군 구지면 응암리 1275번지773급지미시행평일+토요일+일요일09:0002:0009:0002:0009:0002:00무료<NA><NA><NA><NA><NA><NA><NA><NA>상가이용객 이외 주차금지화인타워053-614-0807N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.64941128.4181762022-08-10
4762277100055427710도케비커피 본점 주차장민영자주식대구광역시 달성군 유가읍 음동길 130-15대구광역시 달성군 유가읍 음리 65번지433급지미시행평일+토요일+일요일10:0020:0010:0020:0010:0020:00무료<NA><NA><NA><NA><NA><NA><NA><NA>카페 이용고객 이외 주차금지도케비커피 본점053-616-8253N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.69796128.4882492022-08-12
4763277100036127710동명테크 주차장민영자주식대구광역시 달성군 하빈면 하빈남로 596대구광역시 달성군 하빈면 하산리 1100-10번지203급지미시행평일09:0018:00<NA><NA><NA><NA>무료<NA><NA><NA><NA><NA><NA><NA><NA>근무자. 업무차량 이외 주차금지/토. 일 미운영하나 추가 근무에 따라 개방동명테크053-583-2555N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.878069128.3981472022-08-31
4764277100036227710태주빌딩 주차장민영자주식대구광역시 달성군 다사읍 세천북로 5대구광역시 달성군 다사읍 세천리 1578-6번지103급지미시행평일+토요일+일요일07:0020:0008:0019:0008:0019:00무료<NA><NA><NA><NA><NA><NA><NA><NA>상가 방문차량 이외 주차금지태주빌딩053-585-0666N<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>35.875127128.4785492022-08-31