Overview

Dataset statistics

Number of variables32
Number of observations2413
Missing cells12585
Missing cells (%)16.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory626.9 KiB
Average record size in memory266.1 B

Variable types

Text7
Categorical7
Numeric9
Unsupported1
DateTime7
Boolean1

Dataset

Description주차장 정보 현황(제공표준)
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=JHB0Z0DW2XWE342WQLR312739290&infSeq=1

Alerts

주차장구분 is highly imbalanced (84.3%)Imbalance
부제시행구분 is highly imbalanced (59.8%)Imbalance
소재지도로명주소 has 1400 (58.0%) missing valuesMissing
소재지지번주소 has 268 (11.1%) missing valuesMissing
운영요일 has 2413 (100.0%) missing valuesMissing
주차기본요금 has 416 (17.2%) missing valuesMissing
추가단위시간 has 944 (39.1%) missing valuesMissing
추가단위요금 has 944 (39.1%) missing valuesMissing
1일주차권요금적용시간 has 1173 (48.6%) missing valuesMissing
1일주차권요금 has 1088 (45.1%) missing valuesMissing
특기사항 has 1462 (60.6%) missing valuesMissing
전화번호 has 168 (7.0%) missing valuesMissing
위도 has 332 (13.8%) missing valuesMissing
경도 has 332 (13.8%) missing valuesMissing
장애인전용주차구역보유여부 has 1645 (68.2%) missing valuesMissing
주차기본시간 is highly skewed (γ1 = 46.92229367)Skewed
주차기본요금 is highly skewed (γ1 = 43.64585111)Skewed
운영요일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
주차기본시간 has 1055 (43.7%) zerosZeros
주차기본요금 has 871 (36.1%) zerosZeros
추가단위시간 has 358 (14.8%) zerosZeros
추가단위요금 has 358 (14.8%) zerosZeros
1일주차권요금적용시간 has 339 (14.0%) zerosZeros
1일주차권요금 has 324 (13.4%) zerosZeros

Reproduction

Analysis started2024-05-10 21:27:44.688626
Analysis finished2024-05-10 21:27:47.193466
Duration2.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장관리번호
Text

Distinct2288
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
2024-05-10T21:27:47.488565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters28956
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

Unique2167 ?
Unique (%)89.8%

Sample

1st row239-2-000013
2nd row239-2-000034
3rd row239-2-000016
4th row239-2-000021
5th row239-2-000027
ValueCountFrequency (%)
222-1-000034 6
 
0.2%
230-1-000012 2
 
0.1%
222-2-000028 2
 
0.1%
230-1-000005 2
 
0.1%
230-1-000030 2
 
0.1%
222-1-000033 2
 
0.1%
222-1-000032 2
 
0.1%
222-1-000030 2
 
0.1%
222-1-000029 2
 
0.1%
222-1-000028 2
 
0.1%
Other values (2278) 2389
99.0%
2024-05-10T21:27:48.364418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 11311
39.1%
2 5522
19.1%
- 4826
16.7%
1 2184
 
7.5%
3 1413
 
4.9%
4 909
 
3.1%
5 693
 
2.4%
7 556
 
1.9%
6 552
 
1.9%
8 539
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24130
83.3%
Dash Punctuation 4826
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 11311
46.9%
2 5522
22.9%
1 2184
 
9.1%
3 1413
 
5.9%
4 909
 
3.8%
5 693
 
2.9%
7 556
 
2.3%
6 552
 
2.3%
8 539
 
2.2%
9 451
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 4826
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28956
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 11311
39.1%
2 5522
19.1%
- 4826
16.7%
1 2184
 
7.5%
3 1413
 
4.9%
4 909
 
3.1%
5 693
 
2.4%
7 556
 
1.9%
6 552
 
1.9%
8 539
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28956
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 11311
39.1%
2 5522
19.1%
- 4826
16.7%
1 2184
 
7.5%
3 1413
 
4.9%
4 909
 
3.1%
5 693
 
2.4%
7 556
 
1.9%
6 552
 
1.9%
8 539
 
1.9%

주차장명
Text

Distinct2230
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
2024-05-10T21:27:48.900832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length25
Mean length8.1462909
Min length2

Characters and Unicode

Total characters19657
Distinct characters471
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2126 ?
Unique (%)88.1%

Sample

1st row가평읍 임시공영주차장(5)
2nd row자투리주차장(2)
3rd row설악면 임시공영주차장(1)
4th row청평면 임시공영주차장(4)
5th row무료 공영주차장(5)
ValueCountFrequency (%)
공영주차장 154
 
4.0%
노상주차장 70
 
1.8%
주차장 70
 
1.8%
노상 44
 
1.1%
노외 40
 
1.0%
주변 37
 
1.0%
공영노외주차장 37
 
1.0%
앞 36
 
0.9%
제1공영 30
 
0.8%
제1 28
 
0.7%
Other values (2272) 3335
85.9%
2024-05-10T21:27:49.730613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1470
 
7.5%
주 1069
 
5.4%
장 1060
 
5.4%
차 925
 
4.7%
공 811
 
4.1%
영 680
 
3.5%
동 534
 
2.7%
제 486
 
2.5%
노 452
 
2.3%
1 423
 
2.2%
Other values (461) 11747
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15888
80.8%
Decimal Number 1546
 
7.9%
Space Separator 1470
 
7.5%
Open Punctuation 245
 
1.2%
Close Punctuation 245
 
1.2%
Dash Punctuation 105
 
0.5%
Uppercase Letter 63
 
0.3%
Math Symbol 57
 
0.3%
Other Punctuation 29
 
0.1%
Other Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 1069
 
6.7%
장 1060
 
6.7%
차 925
 
5.8%
공 811
 
5.1%
영 680
 
4.3%
동 534
 
3.4%
제 486
 
3.1%
노 452
 
2.8%
상 415
 
2.6%
지 223
 
1.4%
Other values (423) 9233
58.1%
Uppercase Letter
ValueCountFrequency (%)
P 14
22.2%
T 9
14.3%
C 7
11.1%
V 6
9.5%
G 4
 
6.3%
I 4
 
6.3%
M 4
 
6.3%
S 3
 
4.8%
K 3
 
4.8%
A 3
 
4.8%
Other values (6) 6
9.5%
Decimal Number
ValueCountFrequency (%)
1 423
27.4%
2 351
22.7%
3 192
12.4%
4 150
 
9.7%
5 110
 
7.1%
6 83
 
5.4%
7 76
 
4.9%
8 70
 
4.5%
9 48
 
3.1%
0 43
 
2.8%
Other Number
ValueCountFrequency (%)
② 3
60.0%
① 1
 
20.0%
③ 1
 
20.0%
Math Symbol
ValueCountFrequency (%)
～ 37
64.9%
~ 20
35.1%
Other Punctuation
ValueCountFrequency (%)
, 24
82.8%
. 5
 
17.2%
Space Separator
ValueCountFrequency (%)
1470
100.0%
Open Punctuation
ValueCountFrequency (%)
( 245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 245
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15892
80.8%
Common 3702
 
18.8%
Latin 63
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 1069
 
6.7%
장 1060
 
6.7%
차 925
 
5.8%
공 811
 
5.1%
영 680
 
4.3%
동 534
 
3.4%
제 486
 
3.1%
노 452
 
2.8%
상 415
 
2.6%
지 223
 
1.4%
Other values (424) 9237
58.1%
Common
ValueCountFrequency (%)
1470
39.7%
1 423
 
11.4%
2 351
 
9.5%
( 245
 
6.6%
) 245
 
6.6%
3 192
 
5.2%
4 150
 
4.1%
5 110
 
3.0%
- 105
 
2.8%
6 83
 
2.2%
Other values (11) 328
 
8.9%
Latin
ValueCountFrequency (%)
P 14
22.2%
T 9
14.3%
C 7
11.1%
V 6
9.5%
G 4
 
6.3%
I 4
 
6.3%
M 4
 
6.3%
S 3
 
4.8%
K 3
 
4.8%
A 3
 
4.8%
Other values (6) 6
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15888
80.8%
ASCII 3723
 
18.9%
None 41
 
0.2%
Enclosed Alphanum 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1470
39.5%
1 423
 
11.4%
2 351
 
9.4%
( 245
 
6.6%
) 245
 
6.6%
3 192
 
5.2%
4 150
 
4.0%
5 110
 
3.0%
- 105
 
2.8%
6 83
 
2.2%
Other values (23) 349
 
9.4%
Hangul
ValueCountFrequency (%)
주 1069
 
6.7%
장 1060
 
6.7%
차 925
 
5.8%
공 811
 
5.1%
영 680
 
4.3%
동 534
 
3.4%
제 486
 
3.1%
노 452
 
2.8%
상 415
 
2.6%
지 223
 
1.4%
Other values (423) 9233
58.1%
None
ValueCountFrequency (%)
～ 37
90.2%
㈜ 4
 
9.8%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
60.0%
① 1
 
20.0%
③ 1
 
20.0%

주차장구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
공영
2358 
민영
 
55

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 2358
97.7%
민영 55
 
2.3%

Length

2024-05-10T21:27:49.979465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:27:50.148419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공영 2358
97.7%
민영 55
 
2.3%

주차장유형
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
노외
1550 
노상
736 
부설
 
127

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
노외 1550
64.2%
노상 736
30.5%
부설 127
 
5.3%

Length

2024-05-10T21:27:50.323991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:27:50.625357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노외 1550
64.2%
노상 736
30.5%
부설 127
 
5.3%

소재지도로명주소
Text

MISSING 

Distinct938
Distinct (%)92.6%
Missing1400
Missing (%)58.0%
Memory size19.0 KiB
2024-05-10T21:27:51.167010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length19.209279
Min length12

Characters and Unicode

Total characters19459
Distinct characters287
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique877 ?
Unique (%)86.6%

Sample

1st row경기도 가평군 가평읍 석봉로 234
2nd row경기도 가평군 가평읍 보납로18번길 4
3rd row경기도 가평군 가평읍 석봉로 136
4th row경기도 가평군 가평읍 석봉로 158
5th row경기도 가평군 가평읍 석봉로 199
ValueCountFrequency (%)
경기도 1013
 
21.9%
성남시 165
 
3.6%
이천시 98
 
2.1%
중원구 91
 
2.0%
안양시 88
 
1.9%
파주시 67
 
1.4%
안산시 58
 
1.3%
만안구 57
 
1.2%
의왕시 51
 
1.1%
용인시 49
 
1.1%
Other values (1262) 2897
62.5%
2024-05-10T21:27:52.195814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3621
18.6%
기 1041
 
5.3%
경 1034
 
5.3%
도 1025
 
5.3%
시 1015
 
5.2%
로 903
 
4.6%
1 677
 
3.5%
2 484
 
2.5%
구 466
 
2.4%
3 409
 
2.1%
Other values (277) 8784
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12304
63.2%
Space Separator 3621
 
18.6%
Decimal Number 3277
 
16.8%
Dash Punctuation 161
 
0.8%
Open Punctuation 46
 
0.2%
Close Punctuation 46
 
0.2%
Other Punctuation 3
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 1041
 
8.5%
경 1034
 
8.4%
도 1025
 
8.3%
시 1015
 
8.2%
로 903
 
7.3%
구 466
 
3.8%
길 398
 
3.2%
안 316
 
2.6%
천 291
 
2.4%
번 269
 
2.2%
Other values (261) 5546
45.1%
Decimal Number
ValueCountFrequency (%)
1 677
20.7%
2 484
14.8%
3 409
12.5%
4 310
9.5%
5 284
8.7%
6 256
 
7.8%
7 235
 
7.2%
0 229
 
7.0%
9 203
 
6.2%
8 190
 
5.8%
Space Separator
ValueCountFrequency (%)
3621
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12304
63.2%
Common 7155
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 1041
 
8.5%
경 1034
 
8.4%
도 1025
 
8.3%
시 1015
 
8.2%
로 903
 
7.3%
구 466
 
3.8%
길 398
 
3.2%
안 316
 
2.6%
천 291
 
2.4%
번 269
 
2.2%
Other values (261) 5546
45.1%
Common
ValueCountFrequency (%)
3621
50.6%
1 677
 
9.5%
2 484
 
6.8%
3 409
 
5.7%
4 310
 
4.3%
5 284
 
4.0%
6 256
 
3.6%
7 235
 
3.3%
0 229
 
3.2%
9 203
 
2.8%
Other values (6) 447
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12304
63.2%
ASCII 7155
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3621
50.6%
1 677
 
9.5%
2 484
 
6.8%
3 409
 
5.7%
4 310
 
4.3%
5 284
 
4.0%
6 256
 
3.6%
7 235
 
3.3%
0 229
 
3.2%
9 203
 
2.8%
Other values (6) 447
 
6.2%
Hangul
ValueCountFrequency (%)
기 1041
 
8.5%
경 1034
 
8.4%
도 1025
 
8.3%
시 1015
 
8.2%
로 903
 
7.3%
구 466
 
3.8%
길 398
 
3.2%
안 316
 
2.6%
천 291
 
2.4%
번 269
 
2.2%
Other values (261) 5546
45.1%

소재지지번주소
Text

MISSING 

Distinct2041
Distinct (%)95.2%
Missing268
Missing (%)11.1%
Memory size19.0 KiB
2024-05-10T21:27:52.802692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length19.383217
Min length13

Characters and Unicode

Total characters41577
Distinct characters289
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

Unique1953 ?
Unique (%)91.0%

Sample

1st row경기도 가평군 가평읍 읍내리 468-36
2nd row경기도 가평군 가평읍 달전리 581
3rd row경기도 가평군 설악면 신천리 438-2
4th row경기도 가평군 청평면 청평리 356
5th row경기도 가평군 조종면 상판리 565
ValueCountFrequency (%)
경기도 2144
 
22.2%
안산시 162
 
1.7%
남양주시 161
 
1.7%
시흥시 154
 
1.6%
평택시 143
 
1.5%
용인시 127
 
1.3%
부천시 112
 
1.2%
이천시 102
 
1.1%
과천시 101
 
1.0%
화성시 98
 
1.0%
Other values (2574) 6352
65.8%
2024-05-10T21:27:53.993654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7511
18.1%
시 2238
 
5.4%
기 2231
 
5.4%
도 2203
 
5.3%
경 2153
 
5.2%
동 1917
 
4.6%
1 1661
 
4.0%
- 1478
 
3.6%
2 1051
 
2.5%
3 882
 
2.1%
Other values (279) 18252
43.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23541
56.6%
Decimal Number 8711
 
21.0%
Space Separator 7511
 
18.1%
Dash Punctuation 1478
 
3.6%
Open Punctuation 130
 
0.3%
Close Punctuation 130
 
0.3%
Other Punctuation 57
 
0.1%
Math Symbol 13
 
< 0.1%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 2238
 
9.5%
기 2231
 
9.5%
도 2203
 
9.4%
경 2153
 
9.1%
동 1917
 
8.1%
구 649
 
2.8%
천 534
 
2.3%
양 500
 
2.1%
리 463
 
2.0%
산 403
 
1.7%
Other values (255) 10250
43.5%
Decimal Number
ValueCountFrequency (%)
1 1661
19.1%
2 1051
12.1%
3 882
10.1%
4 852
9.8%
6 788
9.0%
5 785
9.0%
7 767
8.8%
8 680
7.8%
0 640
 
7.3%
9 605
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
P 2
33.3%
T 1
16.7%
G 1
16.7%
K 1
16.7%
S 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 53
93.0%
/ 2
 
3.5%
. 1
 
1.8%
· 1
 
1.8%
Space Separator
ValueCountFrequency (%)
7511
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1478
100.0%
Open Punctuation
ValueCountFrequency (%)
( 130
100.0%
Close Punctuation
ValueCountFrequency (%)
) 130
100.0%
Math Symbol
ValueCountFrequency (%)
~ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23541
56.6%
Common 18030
43.4%
Latin 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 2238
 
9.5%
기 2231
 
9.5%
도 2203
 
9.4%
경 2153
 
9.1%
동 1917
 
8.1%
구 649
 
2.8%
천 534
 
2.3%
양 500
 
2.1%
리 463
 
2.0%
산 403
 
1.7%
Other values (255) 10250
43.5%
Common
ValueCountFrequency (%)
7511
41.7%
1 1661
 
9.2%
- 1478
 
8.2%
2 1051
 
5.8%
3 882
 
4.9%
4 852
 
4.7%
6 788
 
4.4%
5 785
 
4.4%
7 767
 
4.3%
8 680
 
3.8%
Other values (9) 1575
 
8.7%
Latin
ValueCountFrequency (%)
P 2
33.3%
T 1
16.7%
G 1
16.7%
K 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23541
56.6%
ASCII 18035
43.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7511
41.6%
1 1661
 
9.2%
- 1478
 
8.2%
2 1051
 
5.8%
3 882
 
4.9%
4 852
 
4.7%
6 788
 
4.4%
5 785
 
4.4%
7 767
 
4.3%
8 680
 
3.8%
Other values (13) 1580
 
8.8%
Hangul
ValueCountFrequency (%)
시 2238
 
9.5%
기 2231
 
9.5%
도 2203
 
9.4%
경 2153
 
9.1%
동 1917
 
8.1%
구 649
 
2.8%
천 534
 
2.3%
양 500
 
2.1%
리 463
 
2.0%
산 403
 
1.7%
Other values (255) 10250
43.5%
None
ValueCountFrequency (%)
· 1
100.0%

주차구획수
Real number (ℝ)

Distinct328
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.785329
Minimum0
Maximum4261
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size21.3 KiB
2024-05-10T21:27:54.423043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q120
median42
Q393
95-th percentile245.8
Maximum4261
Range4261
Interquartile range (IQR)73

Descriptive statistics

Standard deviation133.8214
Coefficient of variation (CV)1.6985573
Kurtosis403.91165
Mean78.785329
Median Absolute Deviation (MAD)27
Skewness14.537341
Sum190109
Variance17908.167
MonotonicityNot monotonic
2024-05-10T21:27:54.882641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 71
 
2.9%
24 52
 
2.2%
18 50
 
2.1%
17 50
 
2.1%
15 43
 
1.8%
16 40
 
1.7%
30 40
 
1.7%
40 39
 
1.6%
20 38
 
1.6%
12 37
 
1.5%
Other values (318) 1953
80.9%
ValueCountFrequency (%)
0 1
 
< 0.1%
3 8
 
0.3%
4 8
 
0.3%
5 21
 
0.9%
6 15
 
0.6%
7 35
1.5%
8 36
1.5%
9 33
1.4%
10 71
2.9%
11 31
1.3%
ValueCountFrequency (%)
4261 1
< 0.1%
1248 1
< 0.1%
1090 1
< 0.1%
1030 1
< 0.1%
982 1
< 0.1%
943 1
< 0.1%
936 1
< 0.1%
803 1
< 0.1%
793 1
< 0.1%
779 1
< 0.1%

급지구분
Categorical

Distinct6
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
1
1235 
기타
657 
2
341 
3
163 
4
 
12

Length

Max length2
Median length1
Mean length1.2722752
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 1235
51.2%
기타 657
27.2%
2 341
 
14.1%
3 163
 
6.8%
4 12
 
0.5%
5 5
 
0.2%

Length

2024-05-10T21:27:55.312621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:27:55.768221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1235
51.2%
기타 657
27.2%
2 341
 
14.1%
3 163
 
6.8%
4 12
 
0.5%
5 5
 
0.2%

부제시행구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
미시행
2220 
요일제
 
193

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 2220
92.0%
요일제 193
 
8.0%

Length

2024-05-10T21:27:56.120828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:27:56.418491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미시행 2220
92.0%
요일제 193
 
8.0%

운영요일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2413
Missing (%)100.0%
Memory size21.3 KiB

평일운영시작시각
Date

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:30:00
2024-05-10T21:27:56.691376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:27:57.088120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

평일운영종료시각
Date

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:27:57.359306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:27:57.625304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

토요일운영시작시각
Date

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:30:00
2024-05-10T21:27:57.938694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:27:58.218406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)

토요일운영종료시각
Date

Distinct15
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:27:58.531773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:27:59.096678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

공휴일운영시작시각
Date

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 18:30:00
2024-05-10T21:27:59.402183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:27:59.758471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)

공휴일운영종료시각
Date

Distinct13
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
Minimum2024-05-10 00:00:00
Maximum2024-05-10 23:59:00
2024-05-10T21:28:00.118034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:28:00.457611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)

요금정보
Categorical

Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
무료
1141 
유료
1000 
혼합
272 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 1141
47.3%
유료 1000
41.4%
혼합 272
 
11.3%

Length

2024-05-10T21:28:00.838463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-10T21:28:01.137501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 1141
47.3%
유료 1000
41.4%
혼합 272
 
11.3%

주차기본시간
Real number (ℝ)

SKEWED  ZEROS 

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.951927
Minimum0
Maximum43200
Zeros1055
Zeros (%)43.7%
Negative0
Negative (%)0.0%
Memory size21.3 KiB
2024-05-10T21:28:01.438926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q330
95-th percentile60
Maximum43200
Range43200
Interquartile range (IQR)30

Descriptive statistics

Standard deviation892.55524
Coefficient of variation (CV)17.180407
Kurtosis2266.9694
Mean51.951927
Median Absolute Deviation (MAD)10
Skewness46.922294
Sum125360
Variance796654.85
MonotonicityNot monotonic
2024-05-10T21:28:01.768359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1055
43.7%
30 1030
42.7%
10 192
 
8.0%
60 78
 
3.2%
1440 29
 
1.2%
180 10
 
0.4%
5 8
 
0.3%
120 7
 
0.3%
90 2
 
0.1%
43200 1
 
< 0.1%
ValueCountFrequency (%)
0 1055
43.7%
5 8
 
0.3%
10 192
 
8.0%
30 1030
42.7%
40 1
 
< 0.1%
60 78
 
3.2%
90 2
 
0.1%
120 7
 
0.3%
180 10
 
0.4%
1440 29
 
1.2%
ValueCountFrequency (%)
43200 1
 
< 0.1%
1440 29
 
1.2%
180 10
 
0.4%
120 7
 
0.3%
90 2
 
0.1%
60 78
 
3.2%
40 1
 
< 0.1%
30 1030
42.7%
10 192
 
8.0%
5 8
 
0.3%

주차기본요금
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct16
Distinct (%)0.8%
Missing416
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean355.57336
Minimum0
Maximum110000
Zeros871
Zeros (%)36.1%
Negative0
Negative (%)0.0%
Memory size21.3 KiB
2024-05-10T21:28:02.112242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median300
Q3600
95-th percentile900
Maximum110000
Range110000
Interquartile range (IQR)600

Descriptive statistics

Standard deviation2474.188
Coefficient of variation (CV)6.9583052
Kurtosis1935.0265
Mean355.57336
Median Absolute Deviation (MAD)300
Skewness43.645851
Sum710080
Variance6121606.1
MonotonicityNot monotonic
2024-05-10T21:28:02.465191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 871
36.1%
600 391
16.2%
400 269
 
11.1%
500 162
 
6.7%
300 85
 
3.5%
1000 70
 
2.9%
200 61
 
2.5%
900 29
 
1.2%
700 26
 
1.1%
800 21
 
0.9%
Other values (6) 12
 
0.5%
(Missing) 416
17.2%
ValueCountFrequency (%)
0 871
36.1%
80 1
 
< 0.1%
100 1
 
< 0.1%
150 6
 
0.2%
200 61
 
2.5%
300 85
 
3.5%
400 269
 
11.1%
500 162
 
6.7%
600 391
16.2%
700 26
 
1.1%
ValueCountFrequency (%)
110000 1
 
< 0.1%
3000 1
 
< 0.1%
2000 2
 
0.1%
1000 70
 
2.9%
900 29
 
1.2%
800 21
 
0.9%
700 26
 
1.1%
600 391
16.2%
500 162
6.7%
400 269
11.1%

추가단위시간
Real number (ℝ)

MISSING  ZEROS 

Distinct9
Distinct (%)0.6%
Missing944
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean9.7957794
Minimum0
Maximum240
Zeros358
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size21.3 KiB
2024-05-10T21:28:02.750562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median10
Q310
95-th percentile10
Maximum240
Range240
Interquartile range (IQR)5

Descriptive statistics

Standard deviation17.809902
Coefficient of variation (CV)1.8181199
Kurtosis78.357922
Mean9.7957794
Median Absolute Deviation (MAD)0
Skewness8.2852107
Sum14390
Variance317.1926
MonotonicityNot monotonic
2024-05-10T21:28:03.037475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
10 982
40.7%
0 358
 
14.8%
5 59
 
2.4%
30 46
 
1.9%
180 10
 
0.4%
15 5
 
0.2%
120 5
 
0.2%
60 3
 
0.1%
240 1
 
< 0.1%
(Missing) 944
39.1%
ValueCountFrequency (%)
0 358
 
14.8%
5 59
 
2.4%
10 982
40.7%
15 5
 
0.2%
30 46
 
1.9%
60 3
 
0.1%
120 5
 
0.2%
180 10
 
0.4%
240 1
 
< 0.1%
ValueCountFrequency (%)
240 1
 
< 0.1%
180 10
 
0.4%
120 5
 
0.2%
60 3
 
0.1%
30 46
 
1.9%
15 5
 
0.2%
10 982
40.7%
5 59
 
2.4%
0 358
 
14.8%

추가단위요금
Real number (ℝ)

MISSING  ZEROS 

Distinct16
Distinct (%)1.1%
Missing944
Missing (%)39.1%
Infinite0
Infinite (%)0.0%
Mean204.60177
Minimum0
Maximum3000
Zeros358
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size21.3 KiB
2024-05-10T21:28:03.399015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150
median200
Q3300
95-th percentile500
Maximum3000
Range3000
Interquartile range (IQR)250

Descriptive statistics

Standard deviation193.88838
Coefficient of variation (CV)0.94763787
Kurtosis40.463975
Mean204.60177
Median Absolute Deviation (MAD)100
Skewness3.9075869
Sum300560
Variance37592.706
MonotonicityNot monotonic
2024-05-10T21:28:03.826234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
200 432
17.9%
0 358
 
14.8%
300 307
 
12.7%
100 95
 
3.9%
250 76
 
3.1%
400 57
 
2.4%
500 49
 
2.0%
600 34
 
1.4%
50 21
 
0.9%
1000 15
 
0.6%
Other values (6) 25
 
1.0%
(Missing) 944
39.1%
ValueCountFrequency (%)
0 358
14.8%
20 2
 
0.1%
50 21
 
0.9%
80 5
 
0.2%
100 95
 
3.9%
150 9
 
0.4%
170 6
 
0.2%
200 432
17.9%
250 76
 
3.1%
300 307
12.7%
ValueCountFrequency (%)
3000 1
 
< 0.1%
2000 2
 
0.1%
1000 15
 
0.6%
600 34
 
1.4%
500 49
 
2.0%
400 57
 
2.4%
300 307
12.7%
250 76
 
3.1%
200 432
17.9%
170 6
 
0.2%

1일주차권요금적용시간
Real number (ℝ)

MISSING  ZEROS 

Distinct28
Distinct (%)2.3%
Missing1173
Missing (%)48.6%
Infinite0
Infinite (%)0.0%
Mean113.04758
Minimum0
Maximum7000
Zeros339
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size21.3 KiB
2024-05-10T21:28:04.194047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median10
Q324
95-th percentile300
Maximum7000
Range7000
Interquartile range (IQR)24

Descriptive statistics

Standard deviation715.75814
Coefficient of variation (CV)6.3314769
Kurtosis87.372682
Mean113.04758
Median Absolute Deviation (MAD)10
Skewness9.3669152
Sum140179
Variance512309.72
MonotonicityNot monotonic
2024-05-10T21:28:04.642514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
24 347
 
14.4%
0 339
 
14.0%
5 116
 
4.8%
9 80
 
3.3%
12 74
 
3.1%
4 62
 
2.6%
10 41
 
1.7%
250 32
 
1.3%
310 25
 
1.0%
16 22
 
0.9%
Other values (18) 102
 
4.2%
(Missing) 1173
48.6%
ValueCountFrequency (%)
0 339
14.0%
4 62
 
2.6%
5 116
 
4.8%
7 8
 
0.3%
8 2
 
0.1%
9 80
 
3.3%
10 41
 
1.7%
12 74
 
3.1%
13 7
 
0.3%
16 22
 
0.9%
ValueCountFrequency (%)
7000 13
0.5%
1440 1
 
< 0.1%
600 2
 
0.1%
540 5
 
0.2%
350 9
 
0.4%
340 5
 
0.2%
310 25
1.0%
300 7
 
0.3%
290 13
0.5%
270 6
 
0.2%

1일주차권요금
Real number (ℝ)

MISSING  ZEROS 

Distinct20
Distinct (%)1.5%
Missing1088
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean5619.5472
Minimum0
Maximum70000
Zeros324
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size21.3 KiB
2024-05-10T21:28:04.997556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12000
median6000
Q37000
95-th percentile9000
Maximum70000
Range70000
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation7274.6946
Coefficient of variation (CV)1.2945339
Kurtosis57.682497
Mean5619.5472
Median Absolute Deviation (MAD)2000
Skewness6.7705235
Sum7445900
Variance52921181
MonotonicityNot monotonic
2024-05-10T21:28:05.291650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 324
 
13.4%
7000 274
 
11.4%
6000 168
 
7.0%
8000 90
 
3.7%
5000 86
 
3.6%
7200 73
 
3.0%
4000 71
 
2.9%
9000 65
 
2.7%
3000 42
 
1.7%
9500 23
 
1.0%
Other values (10) 109
 
4.5%
(Missing) 1088
45.1%
ValueCountFrequency (%)
0 324
13.4%
2000 13
 
0.5%
2400 8
 
0.3%
3000 42
 
1.7%
3500 7
 
0.3%
4000 71
 
2.9%
4500 18
 
0.7%
4800 2
 
0.1%
5000 86
 
3.6%
5500 6
 
0.2%
ValueCountFrequency (%)
70000 13
 
0.5%
17000 20
 
0.8%
10000 9
 
0.4%
9500 23
 
1.0%
9000 65
 
2.7%
8000 90
 
3.7%
7500 13
 
0.5%
7200 73
 
3.0%
7000 274
11.4%
6000 168
7.0%

월정기권요금
Categorical

Distinct30
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
<NA>
1218 
60000
285 
0
275 
70000
156 
50000
 
117
Other values (25)
362 

Length

Max length8
Median length4
Mean length4.0729383
Min length1

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> 1218
50.5%
60000 285
 
11.8%
0 275
 
11.4%
70000 156
 
6.5%
50000 117
 
4.8%
80000 93
 
3.9%
30000 84
 
3.5%
40000 46
 
1.9%
130000 20
 
0.8%
100000 19
 
0.8%
Other values (20) 100
 
4.1%

Length

2024-05-10T21:28:05.717878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1218
50.5%
60000 285
 
11.8%
0 275
 
11.4%
70000 156
 
6.5%
50000 117
 
4.8%
80000 93
 
3.9%
30000 84
 
3.5%
40000 46
 
1.9%
130000 20
 
0.8%
100000 19
 
0.8%
Other values (20) 100
 
4.1%

결제방법
Categorical

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
<NA>
1109 
신용카드
638 
현금+신용카드
277 
카드
 
102
현금
 
54
Other values (9)
233 

Length

Max length9
Median length4
Mean length4.2938251
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1109
46.0%
신용카드 638
26.4%
현금+신용카드 277
 
11.5%
카드 102
 
4.2%
현금 54
 
2.2%
카드결제 49
 
2.0%
계좌이체 48
 
2.0%
현금+카드 48
 
2.0%
무료 37
 
1.5%
현금, 신용카드 27
 
1.1%
Other values (4) 24
 
1.0%

Length

2024-05-10T21:28:06.168267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1109
45.5%
신용카드 665
27.3%
현금+신용카드 277
 
11.4%
카드 102
 
4.2%
현금 81
 
3.3%
카드결제 49
 
2.0%
계좌이체 48
 
2.0%
현금+카드 48
 
2.0%
무료 37
 
1.5%
신용카드+현금 13
 
0.5%
Other values (3) 11
 
0.5%

특기사항
Text

MISSING 

Distinct95
Distinct (%)10.0%
Missing1462
Missing (%)60.6%
Memory size19.0 KiB
2024-05-10T21:28:06.585358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length201
Median length158
Mean length33.526814
Min length1

Characters and Unicode

Total characters31884
Distinct characters213
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)3.8%

Sample

1st row2시간 무료(장애인+국가유공자+고엽제후유증환자+5.18민주유공자+전기자동차 등)
2nd row2시간 무료(장애인+국가유공자+고엽제후유증환자+5.18민주유공자+전기자동차 등)
3rd row2시간 무료(장애인+국가유공자+고엽제후유증환자+5.18민주유공자+전기자동차 등)
4th row2시간 무료(장애인+국가유공자+고엽제후유증환자+5.18민주유공자+전기자동차 등)
5th row2시간 무료(장애인+국가유공자+고엽제후유증환자+5.18민주유공자+전기자동차 등)
ValueCountFrequency (%)
할인 401
 
8.1%
차량 387
 
7.8%
50프로 320
 
6.5%
등 318
 
6.4%
경차 257
 
5.2%
장애인 250
 
5.1%
50퍼센트 147
 
3.0%
무료 108
 
2.2%
및 64
 
1.3%
전용 63
 
1.3%
Other values (256) 2617
53.1%
2024-05-10T21:28:07.509009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3981
 
12.5%
차 1786
 
5.6%
0 1419
 
4.5%
+ 1365
 
4.3%
인 1313
 
4.1%
자 1271
 
4.0%
장 834
 
2.6%
5 814
 
2.6%
경 721
 
2.3%
량 692
 
2.2%
Other values (203) 17688
55.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21454
67.3%
Space Separator 3981
 
12.5%
Decimal Number 3215
 
10.1%
Math Symbol 1421
 
4.5%
Other Punctuation 851
 
2.7%
Open Punctuation 470
 
1.5%
Close Punctuation 470
 
1.5%
Lowercase Letter 20
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 1786
 
8.3%
인 1313
 
6.1%
자 1271
 
5.9%
장 834
 
3.9%
경 721
 
3.4%
량 692
 
3.2%
할 654
 
3.0%
애 643
 
3.0%
공 555
 
2.6%
로 499
 
2.3%
Other values (171) 12486
58.2%
Decimal Number
ValueCountFrequency (%)
0 1419
44.1%
5 814
25.3%
1 308
 
9.6%
2 261
 
8.1%
6 120
 
3.7%
4 87
 
2.7%
9 75
 
2.3%
3 68
 
2.1%
8 34
 
1.1%
7 29
 
0.9%
Other Punctuation
ValueCountFrequency (%)
· 333
39.1%
, 248
29.1%
: 148
17.4%
/ 66
 
7.8%
. 27
 
3.2%
* 17
 
2.0%
; 8
 
0.9%
& 4
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
m 4
20.0%
p 4
20.0%
t 4
20.0%
a 4
20.0%
l 2
10.0%
g 2
10.0%
Math Symbol
ValueCountFrequency (%)
+ 1365
96.1%
~ 56
 
3.9%
Open Punctuation
ValueCountFrequency (%)
( 468
99.6%
[ 2
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 468
99.6%
] 2
 
0.4%
Space Separator
ValueCountFrequency (%)
3981
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21454
67.3%
Common 10410
32.6%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 1786
 
8.3%
인 1313
 
6.1%
자 1271
 
5.9%
장 834
 
3.9%
경 721
 
3.4%
량 692
 
3.2%
할 654
 
3.0%
애 643
 
3.0%
공 555
 
2.6%
로 499
 
2.3%
Other values (171) 12486
58.2%
Common
ValueCountFrequency (%)
3981
38.2%
0 1419
 
13.6%
+ 1365
 
13.1%
5 814
 
7.8%
( 468
 
4.5%
) 468
 
4.5%
· 333
 
3.2%
1 308
 
3.0%
2 261
 
2.5%
, 248
 
2.4%
Other values (16) 745
 
7.2%
Latin
ValueCountFrequency (%)
m 4
20.0%
p 4
20.0%
t 4
20.0%
a 4
20.0%
l 2
10.0%
g 2
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21374
67.0%
ASCII 10097
31.7%
None 333
 
1.0%
Compat Jamo 80
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3981
39.4%
0 1419
 
14.1%
+ 1365
 
13.5%
5 814
 
8.1%
( 468
 
4.6%
) 468
 
4.6%
1 308
 
3.1%
2 261
 
2.6%
, 248
 
2.5%
: 148
 
1.5%
Other values (21) 617
 
6.1%
Hangul
ValueCountFrequency (%)
차 1786
 
8.4%
인 1313
 
6.1%
자 1271
 
5.9%
장 834
 
3.9%
경 721
 
3.4%
량 692
 
3.2%
할 654
 
3.1%
애 643
 
3.0%
공 555
 
2.6%
로 499
 
2.3%
Other values (170) 12406
58.0%
None
ValueCountFrequency (%)
· 333
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 80
100.0%

관리기관명
Text

Distinct146
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
2024-05-10T21:28:07.964220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length10.16494
Min length2

Characters and Unicode

Total characters24528
Distinct characters191
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)3.6%

Sample

1st row경기도 가평군청
2nd row경기도 가평군청
3rd row경기도 가평군청
4th row경기도 가평군청
5th row경기도 가평군청
ValueCountFrequency (%)
경기도 1557
31.7%
성남도시개발공사 155
 
3.2%
시흥도시공사 154
 
3.1%
남양주도시공사 148
 
3.0%
평택시청 143
 
2.9%
용인시 128
 
2.6%
부천도시공사 113
 
2.3%
안산시 105
 
2.1%
안양시 104
 
2.1%
경제교통과 103
 
2.1%
Other values (158) 2198
44.8%
2024-05-10T21:28:09.265796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 2740
 
11.2%
시 2653
 
10.8%
2495
 
10.2%
경 1663
 
6.8%
기 1599
 
6.5%
공 1250
 
5.1%
사 1104
 
4.5%
청 911
 
3.7%
주 663
 
2.7%
천 453
 
1.8%
Other values (181) 8997
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21931
89.4%
Space Separator 2495
 
10.2%
Close Punctuation 41
 
0.2%
Open Punctuation 41
 
0.2%
Decimal Number 14
 
0.1%
Other Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 2740
 
12.5%
시 2653
 
12.1%
경 1663
 
7.6%
기 1599
 
7.3%
공 1250
 
5.7%
사 1104
 
5.0%
청 911
 
4.2%
주 663
 
3.0%
천 453
 
2.1%
관 404
 
1.8%
Other values (171) 8491
38.7%
Decimal Number
ValueCountFrequency (%)
1 6
42.9%
2 2
 
14.3%
4 2
 
14.3%
5 2
 
14.3%
6 1
 
7.1%
3 1
 
7.1%
Space Separator
ValueCountFrequency (%)
2495
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21937
89.4%
Common 2591
 
10.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 2740
 
12.5%
시 2653
 
12.1%
경 1663
 
7.6%
기 1599
 
7.3%
공 1250
 
5.7%
사 1104
 
5.0%
청 911
 
4.2%
주 663
 
3.0%
천 453
 
2.1%
관 404
 
1.8%
Other values (172) 8497
38.7%
Common
ValueCountFrequency (%)
2495
96.3%
) 41
 
1.6%
( 41
 
1.6%
1 6
 
0.2%
2 2
 
0.1%
4 2
 
0.1%
5 2
 
0.1%
6 1
 
< 0.1%
3 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21931
89.4%
ASCII 2591
 
10.6%
None 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 2740
 
12.5%
시 2653
 
12.1%
경 1663
 
7.6%
기 1599
 
7.3%
공 1250
 
5.7%
사 1104
 
5.0%
청 911
 
4.2%
주 663
 
3.0%
천 453
 
2.1%
관 404
 
1.8%
Other values (171) 8491
38.7%
ASCII
ValueCountFrequency (%)
2495
96.3%
) 41
 
1.6%
( 41
 
1.6%
1 6
 
0.2%
2 2
 
0.1%
4 2
 
0.1%
5 2
 
0.1%
6 1
 
< 0.1%
3 1
 
< 0.1%
None
ValueCountFrequency (%)
㈜ 6
100.0%

전화번호
Text

MISSING 

Distinct149
Distinct (%)6.6%
Missing168
Missing (%)7.0%
Memory size19.0 KiB
2024-05-10T21:28:09.814242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.196882
Min length11

Characters and Unicode

Total characters27382
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

Unique84 ?
Unique (%)3.7%

Sample

1st row031-580-2075
2nd row031-580-2075
3rd row031-580-2075
4th row031-580-2075
5th row031-580-2075
ValueCountFrequency (%)
031-488-6827 154
 
6.9%
031-560-1212 148
 
6.6%
031-8024-4993 143
 
6.4%
031-8045-5255 104
 
4.6%
031-481-2974 88
 
3.9%
031-635-2070 79
 
3.5%
02-3677-2897 68
 
3.0%
031-8086-7441 66
 
2.9%
031-940-4783 65
 
2.9%
032-340-0923 65
 
2.9%
Other values (139) 1265
56.3%
2024-05-10T21:28:11.039657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4490
16.4%
0 4193
15.3%
3 3569
13.0%
1 3011
11.0%
8 2313
8.4%
2 2246
8.2%
4 1846
6.7%
9 1575
 
5.8%
5 1473
 
5.4%
6 1470
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22892
83.6%
Dash Punctuation 4490
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4193
18.3%
3 3569
15.6%
1 3011
13.2%
8 2313
10.1%
2 2246
9.8%
4 1846
8.1%
9 1575
 
6.9%
5 1473
 
6.4%
6 1470
 
6.4%
7 1196
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 4490
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27382
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4490
16.4%
0 4193
15.3%
3 3569
13.0%
1 3011
11.0%
8 2313
8.4%
2 2246
8.2%
4 1846
6.7%
9 1575
 
5.8%
5 1473
 
5.4%
6 1470
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27382
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4490
16.4%
0 4193
15.3%
3 3569
13.0%
1 3011
11.0%
8 2313
8.4%
2 2246
8.2%
4 1846
6.7%
9 1575
 
5.8%
5 1473
 
5.4%
6 1470
 
5.4%

위도
Real number (ℝ)

MISSING 

Distinct1927
Distinct (%)92.6%
Missing332
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean37.434614
Minimum36.94269
Maximum38.103615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.3 KiB
2024-05-10T21:28:11.490412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.94269
5-th percentile37.00619
Q137.280437
median37.386345
Q337.635971
95-th percentile37.892216
Maximum38.103615
Range1.1609258
Interquartile range (IQR)0.35553383

Descriptive statistics

Standard deviation0.24554012
Coefficient of variation (CV)0.0065591734
Kurtosis-0.5368977
Mean37.434614
Median Absolute Deviation (MAD)0.1461821
Skewness0.26372365
Sum77901.432
Variance0.060289952
MonotonicityNot monotonic
2024-05-10T21:28:11.984712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4280212395 5
 
0.2%
37.2975775129 5
 
0.2%
37.429796803 4
 
0.2%
37.2802797537 4
 
0.2%
37.707931345 3
 
0.1%
37.8429568082 3
 
0.1%
37.4944491318 3
 
0.1%
37.5996097503 3
 
0.1%
37.2634461555 3
 
0.1%
37.2804372651 3
 
0.1%
Other values (1917) 2045
84.7%
(Missing) 332
 
13.8%
ValueCountFrequency (%)
36.9426896952 1
< 0.1%
36.9530297563 1
< 0.1%
36.9571936921 1
< 0.1%
36.9574510183 1
< 0.1%
36.9582053264 1
< 0.1%
36.9587922098 1
< 0.1%
36.9617731999 1
< 0.1%
36.9645292289 1
< 0.1%
36.973431857 1
< 0.1%
36.974397852 1
< 0.1%
ValueCountFrequency (%)
38.1036154832 1
< 0.1%
38.1023115137 1
< 0.1%
38.1008039756 1
< 0.1%
38.0892802358 1
< 0.1%
38.0317515831 1
< 0.1%
38.0276300734 1
< 0.1%
38.0268763299 1
< 0.1%
38.0254562783 1
< 0.1%
38.0249960949 1
< 0.1%
38.0237318501 1
< 0.1%

경도
Real number (ℝ)

MISSING 

Distinct1927
Distinct (%)92.6%
Missing332
Missing (%)13.8%
Infinite0
Infinite (%)0.0%
Mean127.03278
Minimum126.55219
Maximum127.68157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size21.3 KiB
2024-05-10T21:28:12.592713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55219
5-th percentile126.74113
Q1126.84481
median127.03694
Q3127.14708
95-th percentile127.44817
Maximum127.68157
Range1.1293776
Interquartile range (IQR)0.30227248

Descriptive statistics

Standard deviation0.2192209
Coefficient of variation (CV)0.0017257035
Kurtosis0.012326309
Mean127.03278
Median Absolute Deviation (MAD)0.16283793
Skewness0.58227675
Sum264355.21
Variance0.048057804
MonotonicityNot monotonic
2024-05-10T21:28:13.052097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9940161619 5
 
0.2%
126.9991336554 5
 
0.2%
127.1264625226 4
 
0.2%
127.4422212236 4
 
0.2%
127.1195799923 3
 
0.1%
127.0628204548 3
 
0.1%
126.8685378975 3
 
0.1%
127.1468669445 3
 
0.1%
127.0287274236 3
 
0.1%
127.4517644395 3
 
0.1%
Other values (1917) 2045
84.7%
(Missing) 332
 
13.8%
ValueCountFrequency (%)
126.5521888049 1
< 0.1%
126.5705797802 1
< 0.1%
126.5742502905 1
< 0.1%
126.574551471 1
< 0.1%
126.5829713394 1
< 0.1%
126.5830041008 1
< 0.1%
126.592849592 1
< 0.1%
126.6003742078 1
< 0.1%
126.6008409519 1
< 0.1%
126.617807062 1
< 0.1%
ValueCountFrequency (%)
127.6815664232 1
< 0.1%
127.6545498438 1
< 0.1%
127.6517814696 1
< 0.1%
127.6459314867 1
< 0.1%
127.6439709815 1
< 0.1%
127.6422572966 1
< 0.1%
127.6404186296 1
< 0.1%
127.6399165122 2
0.1%
127.6397847671 1
< 0.1%
127.6396258835 1
< 0.1%

장애인전용주차구역보유여부
Boolean

MISSING 

Distinct2
Distinct (%)0.3%
Missing1645
Missing (%)68.2%
Memory size4.8 KiB
True
516 
False
252 
(Missing)
1645 
ValueCountFrequency (%)
True 516
 
21.4%
False 252
 
10.4%
(Missing) 1645
68.2%
2024-05-10T21:28:13.408400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

데이터기준일자
Date

Distinct25
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size19.0 KiB
Minimum2016-06-01 00:00:00
Maximum2024-02-01 00:00:00
2024-05-10T21:28:13.746804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-10T21:28:14.060756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)

Sample

주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도장애인전용주차구역보유여부데이터기준일자
0239-2-000013가평읍 임시공영주차장(5)공영노외<NA>경기도 가평군 가평읍 읍내리 468-36201미시행<NA>00:0023:5900:0023:5900:0023:59무료0<NA><NA><NA><NA><NA><NA><NA><NA>경기도 가평군청031-580-207537.829233127.512248N2023-12-05
1239-2-000034자투리주차장(2)공영노외<NA>경기도 가평군 가평읍 달전리 581271미시행<NA>00:0023:5900:0023:5900:0023:59무료0<NA><NA><NA><NA><NA><NA><NA><NA>경기도 가평군청031-580-207537.813372127.510171N2023-12-05
2239-2-000016설악면 임시공영주차장(1)공영노외<NA>경기도 가평군 설악면 신천리 438-2181미시행<NA>00:0023:5900:0023:5900:0023:59무료0<NA><NA><NA><NA><NA><NA><NA><NA>경기도 가평군청031-580-207537.678915127.490111N2023-12-05
3239-2-000021청평면 임시공영주차장(4)공영노외<NA>경기도 가평군 청평면 청평리 356181미시행<NA>00:0023:5900:0023:5900:0023:59무료0<NA><NA><NA><NA><NA><NA><NA><NA>경기도 가평군청031-580-207537.738328127.423321N2023-12-05
4239-2-000027무료 공영주차장(5)공영노외<NA>경기도 가평군 조종면 상판리 565661미시행<NA>00:0023:5900:0023:5900:0023:59무료0<NA><NA><NA><NA><NA><NA><NA><NA>경기도 가평군청031-580-207537.922891127.393002Y2023-12-05
5239-2-000030무료 공영주차장(8)공영노외<NA>경기도 가평군 조종면 현리 297-3391미시행<NA>00:0023:5900:0023:5900:0023:59무료0<NA><NA><NA><NA><NA><NA><NA><NA>경기도 가평군청031-580-207537.820261127.346474N2023-12-05
6239-1-000005가평읍 노상주차장 5구간공영노상경기도 가평군 가평읍 석봉로 234경기도 가평군 가평읍 읍내리 738-8211미시행<NA>00:0023:5900:0023:5900:0023:59혼합30500305005500050000신용카드2시간 무료(장애인+국가유공자+고엽제후유증환자+5.18민주유공자+전기자동차 등)경기도 가평군청031-580-207537.835791127.509046N2023-12-05
7239-1-000009가평읍 노상주차장 9구간공영노상경기도 가평군 가평읍 보납로18번길 4경기도 가평군 가평읍 읍내리 464-5121미시행<NA>00:0023:5900:0023:5900:0023:59혼합30500305005500050000신용카드2시간 무료(장애인+국가유공자+고엽제후유증환자+5.18민주유공자+전기자동차 등)경기도 가평군청031-580-207537.830545127.512489N2023-12-05
8239-1-000001가평읍 노상주차장 1구간공영노상경기도 가평군 가평읍 석봉로 136경기도 가평군 가평읍 읍내리 329-9301미시행<NA>00:0023:5900:0023:5900:0023:59혼합30500305005500050000신용카드2시간 무료(장애인+국가유공자+고엽제후유증환자+5.18민주유공자+전기자동차 등)경기도 가평군청031-580-207537.827616127.51175N2023-12-05
9239-1-000002가평읍 노상주차장 2구간공영노상경기도 가평군 가평읍 석봉로 158경기도 가평군 가평읍 읍내리 487-5241미시행<NA>00:0023:5900:0023:5900:0023:59혼합30500305005500050000신용카드2시간 무료(장애인+국가유공자+고엽제후유증환자+5.18민주유공자+전기자동차 등)경기도 가평군청031-580-207537.829175127.511352N2023-12-05
주차장관리번호주차장명주차장구분주차장유형소재지도로명주소소재지지번주소주차구획수급지구분부제시행구분운영요일평일운영시작시각평일운영종료시각토요일운영시작시각토요일운영종료시각공휴일운영시작시각공휴일운영종료시각요금정보주차기본시간주차기본요금추가단위시간추가단위요금1일주차권요금적용시간1일주차권요금월정기권요금결제방법특기사항관리기관명전화번호위도경도장애인전용주차구역보유여부데이터기준일자
2403233-1-000040영천동772공영노상<NA>경기도 화성시 영천동 772번지341미시행<NA>00:0023:5900:0023:5900:0023:59유료1040010600<NA><NA><NA>카드결제<NA>화성도시공사031-8059-653837.203565127.126649<NA>2023-11-16
2404233-1-000041병점1동거주자우선주차공영노상<NA>경기도 화성시 병점동 815일원491미시행<NA>00:0023:5900:0023:5900:0023:59유료1040010600<NA><NA>30000카드결제거주차우선주차장(월) / 공유주차구획 요금화성도시공사031-357-654837.20761127.039111<NA>2023-11-16
2405233-1-000042은행사거리 (구 개나리공원)공영노상<NA>경기도 화성시 반송동 23391미시행<NA>00:0023:5900:0023:5900:0023:59유료1040010600<NA><NA><NA>카드결제<NA>화성도시공사031-8059-653837.208781127.062343<NA>2023-11-16
2406233-2-000043오산동공영노외<NA>경기도 화성시 오산동 990-11261미시행<NA>00:0023:5900:0023:5900:0023:59유료1040010600<NA><NA><NA>카드결제<NA>화성도시공사031-8059-653837.192196127.088777<NA>2023-11-16
2407233-2-000044남양뉴타운(임시)공영노외<NA>경기도 화성시 남양읍 남양리20372042미시행<NA>00:0023:5900:0023:5900:0023:59무료0000<NA><NA><NA><NA><NA>경기도 화성시 교통지도과031-5189-313037.204209126.829139<NA>2023-11-16
2408233-2-000046천천리(자투리)공영노외<NA>경기도 화성시 매송면 천천리78-3152미시행<NA>00:0023:5900:0023:5900:0023:59무료0000<NA><NA><NA><NA><NA>경기도 화성시 교통지도과031-5189-313037.245133126.950293<NA>2023-11-16
2409233-2-000047덕우공단공영노외<NA>경기도 화성시 봉담읍 덕우리2781092미시행<NA>00:0023:5900:0023:5900:0023:59무료0000<NA><NA><NA><NA><NA>경기도 화성시 교통지도과031-5189-313037.160184126.916893<NA>2023-11-16
2410233-2-000049비봉(비봉고앞)공영노외<NA>경기도 화성시 비봉면 구포리1012682미시행<NA>00:0023:5900:0023:5900:0023:59무료0000<NA><NA><NA><NA><NA>경기도 화성시 교통지도과031-5189-313037.237602126.874127<NA>2023-11-16
2411233-2-000050서신공영노외<NA>경기도 화성시 서신면 매화리367-1512미시행<NA>00:0023:5900:0023:5900:0023:59무료0000<NA><NA><NA><NA><NA>경기도 화성시 교통지도과031-5189-313037.169028126.703762<NA>2023-11-16
2412223-3-000009오산동공영주차장공영부설<NA>경기도오산시 오산동316-472001미시행<NA>00:0000:0000:0000:0000:0000:00유료600101000060000신용카드최초 1시간 무료, 이후 10분초과마다 100원경기도 오산시시설관리공단031-378-183037.153274127.070764<NA>2020-02-12