Overview

Dataset statistics

Number of variables28
Number of observations303
Missing cells2989
Missing cells (%)35.2%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory66.7 KiB
Average record size in memory225.4 B

Variable types

Numeric1
Text8
Unsupported15
Categorical4

Dataset

Description상당구 내 자전거 및 보행자 분포 요청에 따른 자료 제공
Author충청북도 청주시
URLhttps://www.data.go.kr/data/15040344/fileData.do

Alerts

Dataset has 1 (0.3%) duplicate rowsDuplicates
Unnamed: 25 is highly imbalanced (51.2%)Imbalance
Unnamed: 26 is highly imbalanced (55.7%)Imbalance
일련 번호 has 5 (1.7%) missing valuesMissing
Unnamed: 2 has 35 (11.6%) missing valuesMissing
Unnamed: 3 has 4 (1.3%) missing valuesMissing
Unnamed: 4 has 26 (8.6%) missing valuesMissing
Unnamed: 5 has 4 (1.3%) missing valuesMissing
Unnamed: 6 has 52 (17.2%) missing valuesMissing
Unnamed: 7 has 96 (31.7%) missing valuesMissing
2. 자전거도로 현황 has 292 (96.4%) missing valuesMissing
Unnamed: 10 has 294 (97.0%) missing valuesMissing
Unnamed: 11 has 298 (98.3%) missing valuesMissing
Unnamed: 12 has 299 (98.7%) missing valuesMissing
Unnamed: 13 has 142 (46.9%) missing valuesMissing
Unnamed: 14 has 144 (47.5%) missing valuesMissing
Unnamed: 15 has 144 (47.5%) missing valuesMissing
Unnamed: 16 has 144 (47.5%) missing valuesMissing
Unnamed: 17 has 144 (47.5%) missing valuesMissing
Unnamed: 18 has 170 (56.1%) missing valuesMissing
Unnamed: 19 has 172 (56.8%) missing valuesMissing
Unnamed: 20 has 172 (56.8%) missing valuesMissing
Unnamed: 21 has 172 (56.8%) missing valuesMissing
Unnamed: 22 has 172 (56.8%) missing valuesMissing
Unnamed: 7 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 8 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2. 자전거도로 현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 10 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 11 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 13 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 14 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 15 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 16 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 17 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 18 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 19 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 20 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 22 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 02:45:11.008728
Analysis finished2023-12-12 02:45:11.833984
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일련 번호
Real number (ℝ)

MISSING 

Distinct298
Distinct (%)100.0%
Missing5
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean149.5
Minimum1
Maximum298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.8 KiB
2023-12-12T11:45:11.915231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile15.85
Q175.25
median149.5
Q3223.75
95-th percentile283.15
Maximum298
Range297
Interquartile range (IQR)148.5

Descriptive statistics

Standard deviation86.169407
Coefficient of variation (CV)0.57638399
Kurtosis-1.2
Mean149.5
Median Absolute Deviation (MAD)74.5
Skewness0
Sum44551
Variance7425.1667
MonotonicityStrictly increasing
2023-12-12T11:45:12.087790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206 1
 
0.3%
204 1
 
0.3%
203 1
 
0.3%
202 1
 
0.3%
201 1
 
0.3%
200 1
 
0.3%
199 1
 
0.3%
198 1
 
0.3%
197 1
 
0.3%
196 1
 
0.3%
Other values (288) 288
95.0%
(Missing) 5
 
1.7%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
298 1
0.3%
297 1
0.3%
296 1
0.3%
295 1
0.3%
294 1
0.3%
293 1
0.3%
292 1
0.3%
291 1
0.3%
290 1
0.3%
289 1
0.3%

1. 기본사항
Text

Distinct207
Distinct (%)69.0%
Missing3
Missing (%)1.0%
Memory size2.5 KiB
2023-12-12T11:45:12.369250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length5.66
Min length2

Characters and Unicode

Total characters1698
Distinct characters212
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)55.0%

Sample

1st row노선명
2nd row총계
3rd row무심천자전거길
4th row오천자전거길
5th row오천자전거길
ValueCountFrequency (%)
도로 10
 
2.9%
2순환로 8
 
2.3%
1순환로 8
 
2.3%
직지대로 7
 
2.0%
청남로 6
 
1.7%
사이 6
 
1.7%
수영로 5
 
1.4%
사직대로 5
 
1.4%
향군로 5
 
1.4%
주성로 4
 
1.1%
Other values (225) 286
81.7%
2023-12-12T11:45:12.784806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 269
 
15.8%
길 68
 
4.0%
0 52
 
3.1%
50
 
2.9%
1 50
 
2.9%
번 49
 
2.9%
2 43
 
2.5%
대 38
 
2.2%
. 35
 
2.1%
지 29
 
1.7%
Other values (202) 1015
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1354
79.7%
Decimal Number 244
 
14.4%
Space Separator 50
 
2.9%
Other Punctuation 43
 
2.5%
Math Symbol 2
 
0.1%
Uppercase Letter 2
 
0.1%
Dash Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 269
 
19.9%
길 68
 
5.0%
번 49
 
3.6%
대 38
 
2.8%
지 29
 
2.1%
오 27
 
2.0%
환 27
 
2.0%
순 27
 
2.0%
명 27
 
2.0%
산 25
 
1.8%
Other values (183) 768
56.7%
Decimal Number
ValueCountFrequency (%)
0 52
21.3%
1 50
20.5%
2 43
17.6%
3 28
11.5%
7 20
 
8.2%
4 16
 
6.6%
5 15
 
6.1%
6 9
 
3.7%
9 8
 
3.3%
8 3
 
1.2%
Other Punctuation
ValueCountFrequency (%)
. 35
81.4%
, 8
 
18.6%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
U 1
50.0%
Space Separator
ValueCountFrequency (%)
50
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1354
79.7%
Common 342
 
20.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 269
 
19.9%
길 68
 
5.0%
번 49
 
3.6%
대 38
 
2.8%
지 29
 
2.1%
오 27
 
2.0%
환 27
 
2.0%
순 27
 
2.0%
명 27
 
2.0%
산 25
 
1.8%
Other values (183) 768
56.7%
Common
ValueCountFrequency (%)
0 52
15.2%
50
14.6%
1 50
14.6%
2 43
12.6%
. 35
10.2%
3 28
8.2%
7 20
 
5.8%
4 16
 
4.7%
5 15
 
4.4%
6 9
 
2.6%
Other values (7) 24
7.0%
Latin
ValueCountFrequency (%)
C 1
50.0%
U 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1354
79.7%
ASCII 344
 
20.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 269
 
19.9%
길 68
 
5.0%
번 49
 
3.6%
대 38
 
2.8%
지 29
 
2.1%
오 27
 
2.0%
환 27
 
2.0%
순 27
 
2.0%
명 27
 
2.0%
산 25
 
1.8%
Other values (183) 768
56.7%
ASCII
ValueCountFrequency (%)
0 52
15.1%
50
14.5%
1 50
14.5%
2 43
12.5%
. 35
10.2%
3 28
8.1%
7 20
 
5.8%
4 16
 
4.7%
5 15
 
4.4%
6 9
 
2.6%
Other values (9) 26
7.6%

Unnamed: 2
Text

MISSING 

Distinct207
Distinct (%)77.2%
Missing35
Missing (%)11.6%
Memory size2.5 KiB
2023-12-12T11:45:13.106589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length5.630597
Min length1

Characters and Unicode

Total characters1509
Distinct characters237
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)61.6%

Sample

1st row기점
2nd row시설물, 교차로명
3rd row청남로
4th row고은사거리
5th row문의사거리
ValueCountFrequency (%)
2순환로 6
 
2.1%
과학산업2로 6
 
2.1%
구룡산로 4
 
1.4%
대신로 4
 
1.4%
송절로 4
 
1.4%
맞은편 4
 
1.4%
월명로 4
 
1.4%
직지대로 3
 
1.0%
1순환로 3
 
1.0%
서부로 3
 
1.0%
Other values (212) 247
85.8%
2023-12-12T11:45:13.882986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 150
 
9.9%
리 64
 
4.2%
거 60
 
4.0%
사 53
 
3.5%
교 40
 
2.7%
2 38
 
2.5%
대 35
 
2.3%
1 35
 
2.3%
산 33
 
2.2%
오 27
 
1.8%
Other values (227) 974
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1345
89.1%
Decimal Number 133
 
8.8%
Space Separator 21
 
1.4%
Uppercase Letter 4
 
0.3%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%
Control 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 150
 
11.2%
리 64
 
4.8%
거 60
 
4.5%
사 53
 
3.9%
교 40
 
3.0%
대 35
 
2.6%
산 33
 
2.5%
오 27
 
2.0%
청 26
 
1.9%
길 26
 
1.9%
Other values (208) 831
61.8%
Decimal Number
ValueCountFrequency (%)
2 38
28.6%
1 35
26.3%
4 15
 
11.3%
3 11
 
8.3%
5 8
 
6.0%
0 7
 
5.3%
6 7
 
5.3%
7 6
 
4.5%
9 4
 
3.0%
8 2
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
I 1
25.0%
T 1
25.0%
K 1
25.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1345
89.1%
Common 160
 
10.6%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 150
 
11.2%
리 64
 
4.8%
거 60
 
4.5%
사 53
 
3.9%
교 40
 
3.0%
대 35
 
2.6%
산 33
 
2.5%
오 27
 
2.0%
청 26
 
1.9%
길 26
 
1.9%
Other values (208) 831
61.8%
Common
ValueCountFrequency (%)
2 38
23.8%
1 35
21.9%
21
13.1%
4 15
 
9.4%
3 11
 
6.9%
5 8
 
5.0%
0 7
 
4.4%
6 7
 
4.4%
7 6
 
3.8%
9 4
 
2.5%
Other values (5) 8
 
5.0%
Latin
ValueCountFrequency (%)
C 1
25.0%
I 1
25.0%
T 1
25.0%
K 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1345
89.1%
ASCII 164
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 150
 
11.2%
리 64
 
4.8%
거 60
 
4.5%
사 53
 
3.9%
교 40
 
3.0%
대 35
 
2.6%
산 33
 
2.5%
오 27
 
2.0%
청 26
 
1.9%
길 26
 
1.9%
Other values (208) 831
61.8%
ASCII
ValueCountFrequency (%)
2 38
23.2%
1 35
21.3%
21
12.8%
4 15
 
9.1%
3 11
 
6.7%
5 8
 
4.9%
0 7
 
4.3%
6 7
 
4.3%
7 6
 
3.7%
9 4
 
2.4%
Other values (9) 12
 
7.3%

Unnamed: 3
Text

MISSING 

Distinct286
Distinct (%)95.7%
Missing4
Missing (%)1.3%
Memory size2.5 KiB
2023-12-12T11:45:14.251405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.7692308
Min length2

Characters and Unicode

Total characters2622
Distinct characters132
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

Unique274 ?
Unique (%)91.6%

Sample

1st row지번
2nd row정상동 368-24
3rd row오송읍 서평리 693-20
4th row정상동 368-24
5th row오송읍 정중리 339-2
ValueCountFrequency (%)
오송읍 20
 
3.1%
오창읍 14
 
2.2%
복대동 11
 
1.7%
봉명동 10
 
1.6%
산 6
 
0.9%
사직동 6
 
0.9%
용담동 6
 
0.9%
1순환로 6
 
0.9%
만수리 6
 
0.9%
직지대로 5
 
0.8%
Other values (419) 555
86.0%
2023-12-12T11:45:14.808306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
346
 
13.2%
1 184
 
7.0%
2 172
 
6.6%
로 148
 
5.6%
동 114
 
4.3%
4 113
 
4.3%
3 111
 
4.2%
- 109
 
4.2%
0 88
 
3.4%
5 84
 
3.2%
Other values (122) 1153
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1127
43.0%
Decimal Number 1040
39.7%
Space Separator 346
 
13.2%
Dash Punctuation 109
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 148
 
13.1%
동 114
 
10.1%
오 48
 
4.3%
리 41
 
3.6%
송 40
 
3.5%
산 37
 
3.3%
읍 35
 
3.1%
대 34
 
3.0%
명 24
 
2.1%
창 21
 
1.9%
Other values (110) 585
51.9%
Decimal Number
ValueCountFrequency (%)
1 184
17.7%
2 172
16.5%
4 113
10.9%
3 111
10.7%
0 88
8.5%
5 84
8.1%
8 80
7.7%
6 79
7.6%
7 71
 
6.8%
9 58
 
5.6%
Space Separator
ValueCountFrequency (%)
346
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1495
57.0%
Hangul 1127
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 148
 
13.1%
동 114
 
10.1%
오 48
 
4.3%
리 41
 
3.6%
송 40
 
3.5%
산 37
 
3.3%
읍 35
 
3.1%
대 34
 
3.0%
명 24
 
2.1%
창 21
 
1.9%
Other values (110) 585
51.9%
Common
ValueCountFrequency (%)
346
23.1%
1 184
12.3%
2 172
11.5%
4 113
 
7.6%
3 111
 
7.4%
- 109
 
7.3%
0 88
 
5.9%
5 84
 
5.6%
8 80
 
5.4%
6 79
 
5.3%
Other values (2) 129
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1495
57.0%
Hangul 1127
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
346
23.1%
1 184
12.3%
2 172
11.5%
4 113
 
7.6%
3 111
 
7.4%
- 109
 
7.3%
0 88
 
5.9%
5 84
 
5.6%
8 80
 
5.4%
6 79
 
5.3%
Other values (2) 129
 
8.6%
Hangul
ValueCountFrequency (%)
로 148
 
13.1%
동 114
 
10.1%
오 48
 
4.3%
리 41
 
3.6%
송 40
 
3.5%
산 37
 
3.3%
읍 35
 
3.1%
대 34
 
3.0%
명 24
 
2.1%
창 21
 
1.9%
Other values (110) 585
51.9%

Unnamed: 4
Text

MISSING 

Distinct209
Distinct (%)75.5%
Missing26
Missing (%)8.6%
Memory size2.5 KiB
2023-12-12T11:45:15.086932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length5.3971119
Min length2

Characters and Unicode

Total characters1495
Distinct characters206
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)60.3%

Sample

1st row종점
2nd row시설물, 교차로명
3rd row고은사거리
4th row현도교
5th row도당산사거리
ValueCountFrequency (%)
1순환로 13
 
4.5%
직지대로 6
 
2.1%
중부로 5
 
1.7%
과학산업2로 4
 
1.4%
오창대로 3
 
1.0%
오송생명3로 3
 
1.0%
2순환로 3
 
1.0%
백봉로 3
 
1.0%
산미로삼거리 3
 
1.0%
오송생명로 3
 
1.0%
Other values (208) 245
84.2%
2023-12-12T11:45:15.500958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 164
 
11.0%
리 69
 
4.6%
거 62
 
4.1%
사 49
 
3.3%
교 41
 
2.7%
대 40
 
2.7%
1 39
 
2.6%
오 36
 
2.4%
산 30
 
2.0%
길 29
 
1.9%
Other values (196) 936
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1348
90.2%
Decimal Number 130
 
8.7%
Space Separator 13
 
0.9%
Uppercase Letter 2
 
0.1%
Other Punctuation 1
 
0.1%
Control 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 164
 
12.2%
리 69
 
5.1%
거 62
 
4.6%
사 49
 
3.6%
교 41
 
3.0%
대 40
 
3.0%
오 36
 
2.7%
산 30
 
2.2%
길 29
 
2.2%
번 25
 
1.9%
Other values (181) 803
59.6%
Decimal Number
ValueCountFrequency (%)
1 39
30.0%
2 25
19.2%
3 16
12.3%
4 14
 
10.8%
6 9
 
6.9%
0 7
 
5.4%
7 7
 
5.4%
5 7
 
5.4%
8 3
 
2.3%
9 3
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1348
90.2%
Common 145
 
9.7%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 164
 
12.2%
리 69
 
5.1%
거 62
 
4.6%
사 49
 
3.6%
교 41
 
3.0%
대 40
 
3.0%
오 36
 
2.7%
산 30
 
2.2%
길 29
 
2.2%
번 25
 
1.9%
Other values (181) 803
59.6%
Common
ValueCountFrequency (%)
1 39
26.9%
2 25
17.2%
3 16
11.0%
4 14
 
9.7%
13
 
9.0%
6 9
 
6.2%
0 7
 
4.8%
7 7
 
4.8%
5 7
 
4.8%
8 3
 
2.1%
Other values (3) 5
 
3.4%
Latin
ValueCountFrequency (%)
I 1
50.0%
C 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1348
90.2%
ASCII 147
 
9.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 164
 
12.2%
리 69
 
5.1%
거 62
 
4.6%
사 49
 
3.6%
교 41
 
3.0%
대 40
 
3.0%
오 36
 
2.7%
산 30
 
2.2%
길 29
 
2.2%
번 25
 
1.9%
Other values (181) 803
59.6%
ASCII
ValueCountFrequency (%)
1 39
26.5%
2 25
17.0%
3 16
10.9%
4 14
 
9.5%
13
 
8.8%
6 9
 
6.1%
0 7
 
4.8%
7 7
 
4.8%
5 7
 
4.8%
8 3
 
2.0%
Other values (5) 7
 
4.8%

Unnamed: 5
Text

MISSING 

Distinct289
Distinct (%)96.7%
Missing4
Missing (%)1.3%
Memory size2.5 KiB
2023-12-12T11:45:15.829265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length8.9832776
Min length2

Characters and Unicode

Total characters2686
Distinct characters129
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

Unique279 ?
Unique (%)93.3%

Sample

1st row지번
2nd row고은리 461-2
3rd row정상동 368-24
4th row북이면 옥수리 23-3
5th row오송읍 서평리 459
ValueCountFrequency (%)
오송읍 20
 
3.1%
복대동 15
 
2.3%
봉명동 12
 
1.9%
오창읍 12
 
1.9%
가경동 10
 
1.5%
1순환로 9
 
1.4%
사직동 8
 
1.2%
분평동 6
 
0.9%
청남로 5
 
0.8%
송정동 5
 
0.8%
Other values (416) 546
84.3%
2023-12-12T11:45:16.361114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
349
 
13.0%
1 216
 
8.0%
2 160
 
6.0%
3 140
 
5.2%
로 139
 
5.2%
동 115
 
4.3%
- 112
 
4.2%
4 109
 
4.1%
5 95
 
3.5%
6 92
 
3.4%
Other values (119) 1159
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1145
42.6%
Decimal Number 1080
40.2%
Space Separator 349
 
13.0%
Dash Punctuation 112
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 139
 
12.1%
동 115
 
10.0%
오 47
 
4.1%
리 44
 
3.8%
송 43
 
3.8%
읍 33
 
2.9%
대 30
 
2.6%
명 30
 
2.6%
산 24
 
2.1%
길 22
 
1.9%
Other values (107) 618
54.0%
Decimal Number
ValueCountFrequency (%)
1 216
20.0%
2 160
14.8%
3 140
13.0%
4 109
10.1%
5 95
8.8%
6 92
8.5%
7 74
 
6.9%
8 66
 
6.1%
0 65
 
6.0%
9 63
 
5.8%
Space Separator
ValueCountFrequency (%)
349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1541
57.4%
Hangul 1145
42.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 139
 
12.1%
동 115
 
10.0%
오 47
 
4.1%
리 44
 
3.8%
송 43
 
3.8%
읍 33
 
2.9%
대 30
 
2.6%
명 30
 
2.6%
산 24
 
2.1%
길 22
 
1.9%
Other values (107) 618
54.0%
Common
ValueCountFrequency (%)
349
22.6%
1 216
14.0%
2 160
10.4%
3 140
9.1%
- 112
 
7.3%
4 109
 
7.1%
5 95
 
6.2%
6 92
 
6.0%
7 74
 
4.8%
8 66
 
4.3%
Other values (2) 128
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1541
57.4%
Hangul 1145
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
349
22.6%
1 216
14.0%
2 160
10.4%
3 140
9.1%
- 112
 
7.3%
4 109
 
7.1%
5 95
 
6.2%
6 92
 
6.0%
7 74
 
4.8%
8 66
 
4.3%
Other values (2) 128
 
8.3%
Hangul
ValueCountFrequency (%)
로 139
 
12.1%
동 115
 
10.0%
오 47
 
4.1%
리 44
 
3.8%
송 43
 
3.8%
읍 33
 
2.9%
대 30
 
2.6%
명 30
 
2.6%
산 24
 
2.1%
길 22
 
1.9%
Other values (107) 618
54.0%

Unnamed: 6
Text

MISSING 

Distinct232
Distinct (%)92.4%
Missing52
Missing (%)17.2%
Memory size2.5 KiB
2023-12-12T11:45:16.660876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.3227092
Min length3

Characters and Unicode

Total characters1838
Distinct characters281
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

Unique215 ?
Unique (%)85.7%

Sample

1st row주요경유지
2nd row청주시아동복지관
3rd row청주시하수처리장
4th row팔결교삼거리
5th row정중삼거리
ValueCountFrequency (%)
세븐일레븐 5
 
1.7%
gs25 4
 
1.4%
청주세무서 3
 
1.0%
버스정류장 3
 
1.0%
주민센터 3
 
1.0%
만수공원 3
 
1.0%
오창지구대 2
 
0.7%
청주 2
 
0.7%
홈플러스 2
 
0.7%
미니스톱 2
 
0.7%
Other values (248) 265
90.1%
2023-12-12T11:45:17.163730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 73
 
4.0%
교 69
 
3.8%
주 63
 
3.4%
학 47
 
2.6%
점 45
 
2.4%
43
 
2.3%
리 42
 
2.3%
사 42
 
2.3%
원 41
 
2.2%
지 37
 
2.0%
Other values (271) 1336
72.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1708
92.9%
Space Separator 43
 
2.3%
Decimal Number 42
 
2.3%
Uppercase Letter 37
 
2.0%
Lowercase Letter 4
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 73
 
4.3%
교 69
 
4.0%
주 63
 
3.7%
학 47
 
2.8%
점 45
 
2.6%
리 42
 
2.5%
사 42
 
2.5%
원 41
 
2.4%
지 37
 
2.2%
대 35
 
2.0%
Other values (244) 1214
71.1%
Uppercase Letter
ValueCountFrequency (%)
S 9
24.3%
G 8
21.6%
K 4
10.8%
L 3
 
8.1%
C 3
 
8.1%
B 3
 
8.1%
U 2
 
5.4%
I 1
 
2.7%
E 1
 
2.7%
N 1
 
2.7%
Other values (2) 2
 
5.4%
Decimal Number
ValueCountFrequency (%)
2 17
40.5%
5 8
19.0%
1 8
19.0%
3 3
 
7.1%
8 2
 
4.8%
4 2
 
4.8%
7 1
 
2.4%
6 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
g 2
50.0%
s 2
50.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1709
93.0%
Common 88
 
4.8%
Latin 41
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 73
 
4.3%
교 69
 
4.0%
주 63
 
3.7%
학 47
 
2.8%
점 45
 
2.6%
리 42
 
2.5%
사 42
 
2.5%
원 41
 
2.4%
지 37
 
2.2%
대 35
 
2.0%
Other values (245) 1215
71.1%
Latin
ValueCountFrequency (%)
S 9
22.0%
G 8
19.5%
K 4
9.8%
L 3
 
7.3%
C 3
 
7.3%
B 3
 
7.3%
U 2
 
4.9%
g 2
 
4.9%
s 2
 
4.9%
I 1
 
2.4%
Other values (4) 4
9.8%
Common
ValueCountFrequency (%)
43
48.9%
2 17
 
19.3%
5 8
 
9.1%
1 8
 
9.1%
3 3
 
3.4%
8 2
 
2.3%
4 2
 
2.3%
) 1
 
1.1%
( 1
 
1.1%
- 1
 
1.1%
Other values (2) 2
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1708
92.9%
ASCII 129
 
7.0%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 73
 
4.3%
교 69
 
4.0%
주 63
 
3.7%
학 47
 
2.8%
점 45
 
2.6%
리 42
 
2.5%
사 42
 
2.5%
원 41
 
2.4%
지 37
 
2.2%
대 35
 
2.0%
Other values (244) 1214
71.1%
ASCII
ValueCountFrequency (%)
43
33.3%
2 17
 
13.2%
S 9
 
7.0%
G 8
 
6.2%
5 8
 
6.2%
1 8
 
6.2%
K 4
 
3.1%
L 3
 
2.3%
C 3
 
2.3%
3 3
 
2.3%
Other values (16) 23
17.8%
None
ValueCountFrequency (%)
㈜ 1
100.0%

Unnamed: 7
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing96
Missing (%)31.7%
Memory size2.5 KiB

Unnamed: 8
Unsupported

REJECTED  UNSUPPORTED 

Missing2
Missing (%)0.7%
Memory size2.5 KiB

2. 자전거도로 현황
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing292
Missing (%)96.4%
Memory size2.5 KiB

Unnamed: 10
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing294
Missing (%)97.0%
Memory size2.5 KiB

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing298
Missing (%)98.3%
Memory size2.5 KiB

Unnamed: 12
Text

MISSING 

Distinct4
Distinct (%)100.0%
Missing299
Missing (%)98.7%
Memory size2.5 KiB
2023-12-12T11:45:17.360108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5
Min length1

Characters and Unicode

Total characters20
Distinct characters16
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)100.0%

Sample

1st row도로 폭원 (m)
2nd row4.0~5.0
3rd row2차로
4th row
ValueCountFrequency (%)
도로 1
20.0%
폭원 1
20.0%
m 1
20.0%
4.0~5.0 1
20.0%
2차로 1
20.0%
2023-12-12T11:45:17.765701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 2
 
10.0%
2
 
10.0%
. 2
 
10.0%
0 2
 
10.0%
도 1
 
5.0%
폭 1
 
5.0%
원 1
 
5.0%
( 1
 
5.0%
m 1
 
5.0%
) 1
 
5.0%
Other values (6) 6
30.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6
30.0%
Decimal Number 5
25.0%
Control 2
 
10.0%
Other Punctuation 2
 
10.0%
Open Punctuation 1
 
5.0%
Lowercase Letter 1
 
5.0%
Close Punctuation 1
 
5.0%
Math Symbol 1
 
5.0%
Space Separator 1
 
5.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 2
33.3%
도 1
16.7%
폭 1
16.7%
원 1
16.7%
차 1
16.7%
Decimal Number
ValueCountFrequency (%)
0 2
40.0%
4 1
20.0%
5 1
20.0%
2 1
20.0%
Control
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13
65.0%
Hangul 6
30.0%
Latin 1
 
5.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2
15.4%
. 2
15.4%
0 2
15.4%
( 1
7.7%
) 1
7.7%
4 1
7.7%
~ 1
7.7%
5 1
7.7%
2 1
7.7%
1
7.7%
Hangul
ValueCountFrequency (%)
로 2
33.3%
도 1
16.7%
폭 1
16.7%
원 1
16.7%
차 1
16.7%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14
70.0%
Hangul 6
30.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 2
33.3%
도 1
16.7%
폭 1
16.7%
원 1
16.7%
차 1
16.7%
ASCII
ValueCountFrequency (%)
2
14.3%
. 2
14.3%
0 2
14.3%
( 1
7.1%
m 1
7.1%
) 1
7.1%
4 1
7.1%
~ 1
7.1%
5 1
7.1%
2 1
7.1%

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing142
Missing (%)46.9%
Memory size2.5 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)47.5%
Memory size2.5 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)47.5%
Memory size2.5 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)47.5%
Memory size2.5 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)47.5%
Memory size2.5 KiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing170
Missing (%)56.1%
Memory size2.5 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)56.8%
Memory size2.5 KiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)56.8%
Memory size2.5 KiB

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)56.8%
Memory size2.5 KiB

Unnamed: 22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing172
Missing (%)56.8%
Memory size2.5 KiB

Unnamed: 23
Categorical

Distinct9
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
96 
통학
68 
통근
62 
통근,통학
41 
관광레저
20 
Other values (4)
16 

Length

Max length10
Median length7
Mean length3.4653465
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 96
31.7%
통학 68
22.4%
통근 62
20.5%
통근,통학 41
13.5%
관광레저 20
 
6.6%
통학,관광레저 6
 
2.0%
통근,관광레저 5
 
1.7%
통근,통학,관광레저 4
 
1.3%
이용목적 1
 
0.3%

Length

2023-12-12T11:45:17.957738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:45:18.129144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
31.7%
통학 68
22.4%
통근 62
20.5%
통근,통학 41
13.5%
관광레저 20
 
6.6%
통학,관광레저 6
 
2.0%
통근,관광레저 5
 
1.7%
통근,통학,관광레저 4
 
1.3%
이용목적 1
 
0.3%

Unnamed: 24
Text

Distinct52
Distinct (%)17.3%
Missing3
Missing (%)1.0%
Memory size2.5 KiB
2023-12-12T11:45:18.419443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length2
Mean length3.16
Min length2

Characters and Unicode

Total characters948
Distinct characters26
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

Unique33 ?
Unique (%)11.0%

Sample

1st row보도(비분리형)
2nd row색상
3rd row암적/검정
4th row암적
5th row회색
ValueCountFrequency (%)
회색 96
32.0%
적/회 62
20.7%
암적 43
14.3%
초록 18
 
6.0%
빨강 10
 
3.3%
빨강,회색 5
 
1.7%
회색,초록 4
 
1.3%
회색,빨강 4
 
1.3%
적/회,초록 4
 
1.3%
암적,적/회 3
 
1.0%
Other values (42) 51
17.0%
2023-12-12T11:45:18.913424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 222
23.4%
적 159
16.8%
색 134
14.1%
/ 97
10.2%
, 81
 
8.5%
암 66
 
7.0%
초 37
 
3.9%
록 37
 
3.9%
빨 29
 
3.1%
강 29
 
3.1%
Other values (16) 57
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 768
81.0%
Other Punctuation 178
 
18.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 222
28.9%
적 159
20.7%
색 134
17.4%
암 66
 
8.6%
초 37
 
4.8%
록 37
 
4.8%
빨 29
 
3.8%
강 29
 
3.8%
황 12
 
1.6%
토 11
 
1.4%
Other values (12) 32
 
4.2%
Other Punctuation
ValueCountFrequency (%)
/ 97
54.5%
, 81
45.5%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 768
81.0%
Common 180
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 222
28.9%
적 159
20.7%
색 134
17.4%
암 66
 
8.6%
초 37
 
4.8%
록 37
 
4.8%
빨 29
 
3.8%
강 29
 
3.8%
황 12
 
1.6%
토 11
 
1.4%
Other values (12) 32
 
4.2%
Common
ValueCountFrequency (%)
/ 97
53.9%
, 81
45.0%
( 1
 
0.6%
) 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 768
81.0%
ASCII 180
 
19.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 222
28.9%
적 159
20.7%
색 134
17.4%
암 66
 
8.6%
초 37
 
4.8%
록 37
 
4.8%
빨 29
 
3.8%
강 29
 
3.8%
황 12
 
1.6%
토 11
 
1.4%
Other values (12) 32
 
4.2%
ASCII
ValueCountFrequency (%)
/ 97
53.9%
, 81
45.0%
( 1
 
0.6%
) 1
 
0.6%

Unnamed: 25
Categorical

IMBALANCE 

Distinct18
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
보도블럭
185 
아스콘
58 
아스콘,보도블럭
 
13
보도블럭,아스콘
 
8
투수블럭
 
8
Other values (13)
31 

Length

Max length13
Median length4
Mean length4.4389439
Min length2

Unique

Unique7 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
보도블럭 185
61.1%
아스콘 58
 
19.1%
아스콘,보도블럭 13
 
4.3%
보도블럭,아스콘 8
 
2.6%
투수블럭 8
 
2.6%
보도블럭,투수블럭 8
 
2.6%
투수블럭,보도블럭 5
 
1.7%
<NA> 4
 
1.3%
콘크리트 3
 
1.0%
탄성콘 2
 
0.7%
Other values (8) 9
 
3.0%

Length

2023-12-12T11:45:19.062225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
보도블럭 185
61.1%
아스콘 58
 
19.1%
아스콘,보도블럭 13
 
4.3%
보도블럭,아스콘 8
 
2.6%
투수블럭 8
 
2.6%
보도블럭,투수블럭 8
 
2.6%
투수블럭,보도블럭 5
 
1.7%
na 4
 
1.3%
콘크리트 3
 
1.0%
아스콘,투수블럭 2
 
0.7%
Other values (8) 9
 
3.0%

Unnamed: 26
Categorical

IMBALANCE 

Distinct21
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
143 
암적
117 
빨강
 
14
초록
 
5
암적,빨강
 
4
Other values (16)
20 

Length

Max length9
Median length8
Mean length3.1749175
Min length2

Unique

Unique12 ?
Unique (%)4.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 143
47.2%
암적 117
38.6%
빨강 14
 
4.6%
초록 5
 
1.7%
암적,빨강 4
 
1.3%
적/회 2
 
0.7%
회색,암적 2
 
0.7%
암적,검정 2
 
0.7%
암적,초록,회색 2
 
0.7%
황토 1
 
0.3%
Other values (11) 11
 
3.6%

Length

2023-12-12T11:45:19.208271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 143
47.2%
암적 117
38.6%
빨강 14
 
4.6%
초록 5
 
1.7%
암적,빨강 4
 
1.3%
적/회 2
 
0.7%
회색,암적 2
 
0.7%
암적,검정 2
 
0.7%
암적,초록,회색 2
 
0.7%
자전거도로 1
 
0.3%
Other values (11) 11
 
3.6%

Unnamed: 27
Categorical

Distinct14
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size2.5 KiB
<NA>
144 
아스콘
85 
보도블럭
38 
아스콘,보도블럭
 
11
탄성콘
 
7
Other values (9)
18 

Length

Max length13
Median length4
Mean length4.0858086
Min length2

Unique

Unique6 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 144
47.5%
아스콘 85
28.1%
보도블럭 38
 
12.5%
아스콘,보도블럭 11
 
3.6%
탄성콘 7
 
2.3%
보도블럭,아스콘 7
 
2.3%
아스콘,투수블럭 3
 
1.0%
투수블럭,보도블럭 2
 
0.7%
재질 1
 
0.3%
보도블럭,탄성콘 1
 
0.3%
Other values (4) 4
 
1.3%

Length

2023-12-12T11:45:19.348667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 144
47.5%
아스콘 85
28.1%
보도블럭 38
 
12.5%
아스콘,보도블럭 11
 
3.6%
탄성콘 7
 
2.3%
보도블럭,아스콘 7
 
2.3%
아스콘,투수블럭 3
 
1.0%
투수블럭,보도블럭 2
 
0.7%
재질 1
 
0.3%
보도블럭,탄성콘 1
 
0.3%
Other values (4) 4
 
1.3%

Sample

일련 번호1. 기본사항Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 82. 자전거도로 현황Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27
0<NA>노선명기점<NA>종점<NA>주요경유지노선연장\n(km)총연장(m)\n(a+c+d+e)전용도로(a)NaN자전거우선도로(c)<NA>분리형 겸용도로(d)NaNNaNNaNNaN비분리형 겸용도로(e)NaNNaNNaNNaN이용목적보도(비분리형)<NA>자전거도로<NA>
1<NA><NA>시설물, 교차로명지번시설물, 교차로명지번<NA>NaNNaN연장\n(m)폭원\n(m)연장\n(m)도로 폭원 (m)연장\n(m)최소자전거\n도로폭원\n(m)최대자전거\n도로폭원\n(m)최소보도\n폭원\n(m)최대보도\n폭원\n(m)연장\n(m)최소도로\n폭원\n(m)최대도로\n폭원\n(m)최소유효\n폭원\n(m)최대유효\n폭원\n(m)<NA>색상재질색상재질
2<NA>총계<NA><NA><NA><NA><NA>582.0553090176455NaN20082<NA>284705NaNNaNNaNNaN149659NaNNaNNaNNaN<NA><NA><NA><NA><NA>
31무심천자전거길<NA>정상동 368-24고은사거리고은리 461-2청주시아동복지관15.4115406154064NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN관광레저암적/검정아스콘<NA><NA>
42오천자전거길<NA>오송읍 서평리 693-20<NA>정상동 368-24청주시하수처리장44.5626955269553.0~4.0NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN관광레저암적아스콘<NA><NA>
53오천자전거길<NA>정상동 368-24<NA>북이면 옥수리 23-3팔결교삼거리NaN17606NaNNaN176064.0~5.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>회색콘크리트<NA><NA>
64조천자전거길<NA>오송읍 정중리 339-2<NA>오송읍 서평리 459정중삼거리2.162162NaNNaNNaN<NA>21621.31.511.7NaNNaNNaNNaNNaN관광레저초록아스콘암적아스콘
75금강자전거길청남로현도면 시목리 592-1<NA>현도면 중척리 629-3현도오토캠핑장6.81432943293NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN관광레저암적아스콘<NA><NA>
86금강자전거길<NA>현도면 중척리 629-3현도교현도면 양지리 산 48-5양지1교NaN2476NaNNaN24762차로NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA>검정아스콘<NA><NA>
97문의자전거도로고은사거리고은리 461-2도당산사거리문의면 미천리 675-35화당삼거리6.212390123902NaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN관광레저검정아스콘<NA><NA>
일련 번호1. 기본사항Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 82. 자전거도로 현황Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27
2932910.나오송생명4로오송읍 만수리 479오송생명6로오송읍 오송생명6로 132<NA>0.941877NaNNaNNaN<NA>NaNNaNNaNNaNNaN18772.531.31.8통근회색보도블럭<NA><NA>
2942920.다오송생명1로오송읍 연제리 698오송생명2로오송읍 연제리 698<NA>0.45902NaNNaNNaN<NA>NaNNaNNaNNaNNaN9022.52.51.31.3통근회색보도블럭<NA><NA>
2952930.라오송생명2로오송읍 연제리 645오송생명로오송생명로 61목송공원0.531055NaNNaNNaN<NA>NaNNaNNaNNaNNaN1055331.81.8통근회색보도블럭<NA><NA>
2962940.마메드트로닉이노베이션센터오송생명2로 110-12오송생명3로오송읍 연제리 662오송융합바이오소재센터0.731462NaNNaNNaN<NA>NaNNaNNaNNaNNaN1462331.81.8통근회색보도블럭<NA><NA>
2972950.바오송생명3로오송생명3로 55오송생명5로오송읍 연제리 666<NA>0.35688NaNNaNNaN<NA>NaNNaNNaNNaNNaN688331.81.8통근회색보도블럭<NA><NA>
2982960.사오송생명5로오송생명5로 151오송가락로오송읍 만수리 514코미팜 오송공장0.33652NaNNaNNaN<NA>NaNNaNNaNNaNNaN652331.81.8통근회색보도블럭<NA><NA>
2992970.아연제길오송읍 연제리 836-1오송생명5로오송읍 오송생명5로 303오송읍 만수리 8650.34539NaNNaNNaN<NA>NaNNaNNaNNaNNaN5392222통근빨강보도블럭<NA><NA>
300298국지도32호선대청대교현도면 노산리 416노산1교차로현도면 노산리 960-1문화재조사연구단청주사무소0.81808NaNNaNNaN<NA>8081.51.522NaNNaNNaNNaNNaN통근,통학적/회보도블럭검정아스콘
301<NA><NA><NA><NA><NA><NA><NA>NaNNaNNaNNaNNaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA>
302<NA><NA><NA><NA><NA><NA><NA>NaN68464NaNNaNNaN<NA>NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN<NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

일련 번호1. 기본사항Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 12Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2