Overview

Dataset statistics

Number of variables42
Number of observations51
Missing cells1123
Missing cells (%)52.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.9 KiB
Average record size in memory338.6 B

Variable types

Unsupported28
Categorical4
Text10

Dataset

Description경상북도 영양군 버스 배차시간표 정보 2023년 07월 01일 기준 (6시부터 19시까지 배차정보 및 배차간격 등)를 제공합니다
Author경상북도 영양군
URLhttps://www.data.go.kr/data/15054389/fileData.do

Alerts

영양군 농어촌버스 시간표(23.09.12.) has 46 (90.2%) missing valuesMissing
Unnamed: 2 has 28 (54.9%) missing valuesMissing
Unnamed: 3 has 44 (86.3%) missing valuesMissing
Unnamed: 4 has 12 (23.5%) missing valuesMissing
Unnamed: 5 has 25 (49.0%) missing valuesMissing
Unnamed: 6 has 46 (90.2%) missing valuesMissing
Unnamed: 8 has 29 (56.9%) missing valuesMissing
Unnamed: 9 has 44 (86.3%) missing valuesMissing
Unnamed: 10 has 14 (27.5%) missing valuesMissing
Unnamed: 11 has 26 (51.0%) missing valuesMissing
Unnamed: 12 has 44 (86.3%) missing valuesMissing
Unnamed: 13 has 10 (19.6%) missing valuesMissing
Unnamed: 14 has 23 (45.1%) missing valuesMissing
Unnamed: 15 has 43 (84.3%) missing valuesMissing
Unnamed: 16 has 10 (19.6%) missing valuesMissing
Unnamed: 17 has 22 (43.1%) missing valuesMissing
Unnamed: 18 has 44 (86.3%) missing valuesMissing
Unnamed: 19 has 1 (2.0%) missing valuesMissing
Unnamed: 20 has 22 (43.1%) missing valuesMissing
Unnamed: 21 has 45 (88.2%) missing valuesMissing
Unnamed: 22 has 19 (37.3%) missing valuesMissing
Unnamed: 23 has 30 (58.8%) missing valuesMissing
Unnamed: 24 has 44 (86.3%) missing valuesMissing
Unnamed: 25 has 13 (25.5%) missing valuesMissing
Unnamed: 26 has 25 (49.0%) missing valuesMissing
Unnamed: 27 has 45 (88.2%) missing valuesMissing
Unnamed: 29 has 24 (47.1%) missing valuesMissing
Unnamed: 30 has 44 (86.3%) missing valuesMissing
Unnamed: 31 has 11 (21.6%) missing valuesMissing
Unnamed: 32 has 28 (54.9%) missing valuesMissing
Unnamed: 33 has 41 (80.4%) missing valuesMissing
Unnamed: 35 has 25 (49.0%) missing valuesMissing
Unnamed: 36 has 43 (84.3%) missing valuesMissing
Unnamed: 37 has 17 (33.3%) missing valuesMissing
Unnamed: 38 has 32 (62.7%) missing valuesMissing
Unnamed: 39 has 45 (88.2%) missing valuesMissing
Unnamed: 40 has 27 (52.9%) missing valuesMissing
Unnamed: 41 has 32 (62.7%) missing valuesMissing
영양군 농어촌버스 시간표(23.09.12.) is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 3 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 5 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 6 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
Unnamed: 9 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: 12 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: 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: 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: 23 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 24 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 26 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 27 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 29 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 30 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 32 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 33 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 35 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 36 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 38 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 39 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 41 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 12:16:59.164331
Analysis finished2023-12-12 12:16:59.717282
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영양군 농어촌버스 시간표(23.09.12.)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)90.2%
Memory size540.0 B

Unnamed: 1
Categorical

Distinct16
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
17 
당리
6 
도착
4 
입암
4 
①영양
3 
Other values (11)
17 

Length

Max length10
Median length4
Mean length3.0784314
Min length2

Unique

Unique7 ?
Unique (%)13.7%

Sample

1st row<NA>
2nd row1코스
3rd row⑤영양
4th row양구
5th row도착

Common Values

ValueCountFrequency (%)
<NA> 17
33.3%
당리 6
 
11.8%
도착 4
 
7.8%
입암 4
 
7.8%
①영양 3
 
5.9%
재산 3
 
5.9%
도곡2 3
 
5.9%
행화 2
 
3.9%
②진보 2
 
3.9%
1코스 1
 
2.0%
Other values (6) 6
 
11.8%

Length

2023-12-12T21:16:59.813055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 17
33.3%
당리 6
 
11.8%
도착 4
 
7.8%
입암 4
 
7.8%
①영양 3
 
5.9%
재산 3
 
5.9%
도곡2 3
 
5.9%
행화 2
 
3.9%
②진보 2
 
3.9%
1코스 1
 
2.0%
Other values (6) 6
 
11.8%

Unnamed: 2
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)54.9%
Memory size540.0 B

Unnamed: 3
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)86.3%
Memory size540.0 B

Unnamed: 4
Text

MISSING 

Distinct25
Distinct (%)64.1%
Missing12
Missing (%)23.5%
Memory size540.0 B
2023-12-12T21:17:00.020974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.9230769
Min length2

Characters and Unicode

Total characters114
Distinct characters53
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

Unique17 ?
Unique (%)43.6%

Sample

1st row2코스
2nd row①영양
3rd row가곡
4th row청기
5th row청기면사무소
ValueCountFrequency (%)
도착 6
 
15.4%
입암 3
 
7.7%
10)석보 3
 
7.7%
④영양 2
 
5.1%
⑥진보 2
 
5.1%
청기 2
 
5.1%
흥구 2
 
5.1%
구매 2
 
5.1%
①영양 1
 
2.6%
당리 1
 
2.6%
Other values (15) 15
38.5%
2023-12-12T21:17:00.417823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
보 7
 
6.1%
도 6
 
5.3%
착 6
 
5.3%
1 5
 
4.4%
입 4
 
3.5%
기 4
 
3.5%
청 4
 
3.5%
암 4
 
3.5%
구 4
 
3.5%
석 4
 
3.5%
Other values (43) 66
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91
79.8%
Decimal Number 9
 
7.9%
Other Number 6
 
5.3%
Close Punctuation 4
 
3.5%
Open Punctuation 4
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
보 7
 
7.7%
도 6
 
6.6%
착 6
 
6.6%
입 4
 
4.4%
기 4
 
4.4%
청 4
 
4.4%
암 4
 
4.4%
구 4
 
4.4%
석 4
 
4.4%
영 3
 
3.3%
Other values (35) 45
49.5%
Decimal Number
ValueCountFrequency (%)
1 5
55.6%
0 3
33.3%
2 1
 
11.1%
Other Number
ValueCountFrequency (%)
④ 2
33.3%
① 2
33.3%
⑥ 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91
79.8%
Common 23
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
보 7
 
7.7%
도 6
 
6.6%
착 6
 
6.6%
입 4
 
4.4%
기 4
 
4.4%
청 4
 
4.4%
암 4
 
4.4%
구 4
 
4.4%
석 4
 
4.4%
영 3
 
3.3%
Other values (35) 45
49.5%
Common
ValueCountFrequency (%)
1 5
21.7%
) 4
17.4%
( 4
17.4%
0 3
13.0%
④ 2
 
8.7%
① 2
 
8.7%
⑥ 2
 
8.7%
2 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91
79.8%
ASCII 17
 
14.9%
Enclosed Alphanum 6
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
보 7
 
7.7%
도 6
 
6.6%
착 6
 
6.6%
입 4
 
4.4%
기 4
 
4.4%
청 4
 
4.4%
암 4
 
4.4%
구 4
 
4.4%
석 4
 
4.4%
영 3
 
3.3%
Other values (35) 45
49.5%
ASCII
ValueCountFrequency (%)
1 5
29.4%
) 4
23.5%
( 4
23.5%
0 3
17.6%
2 1
 
5.9%
Enclosed Alphanum
ValueCountFrequency (%)
④ 2
33.3%
① 2
33.3%
⑥ 2
33.3%

Unnamed: 5
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)49.0%
Memory size540.0 B

Unnamed: 6
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing46
Missing (%)90.2%
Memory size540.0 B

Unnamed: 7
Categorical

Distinct12
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
23 
수비
7 
②영양
4 
도착
4 
신암
3 
Other values (7)
10 

Length

Max length10
Median length9
Mean length3.5098039
Min length2

Unique

Unique5 ?
Unique (%)9.8%

Sample

1st row<NA>
2nd row3코스
3rd row②영양
4th row수비
5th row신암

Common Values

ValueCountFrequency (%)
<NA> 23
45.1%
수비 7
 
13.7%
②영양 4
 
7.8%
도착 4
 
7.8%
신암 3
 
5.9%
오무 3
 
5.9%
공수하 2
 
3.9%
3코스 1
 
2.0%
계2리 1
 
2.0%
(8)계리입구중계 1
 
2.0%
Other values (2) 2
 
3.9%

Length

2023-12-12T21:17:00.597506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 23
44.2%
수비 7
 
13.5%
②영양 4
 
7.7%
도착 4
 
7.7%
신암 3
 
5.8%
오무 3
 
5.8%
공수하 2
 
3.8%
3코스 1
 
1.9%
계2리 1
 
1.9%
8)계리입구중계 1
 
1.9%
Other values (3) 3
 
5.8%

Unnamed: 8
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing29
Missing (%)56.9%
Memory size540.0 B

Unnamed: 9
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)86.3%
Memory size540.0 B

Unnamed: 10
Text

MISSING 

Distinct26
Distinct (%)70.3%
Missing14
Missing (%)27.5%
Memory size540.0 B
2023-12-12T21:17:00.829410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.7027027
Min length2

Characters and Unicode

Total characters100
Distinct characters48
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

Unique19 ?
Unique (%)51.4%

Sample

1st row4코스
2nd row②영양
3rd row계2리
4th row용화
5th row도착
ValueCountFrequency (%)
도착 6
 
16.2%
상원 2
 
5.4%
삼지 2
 
5.4%
①영양 2
 
5.4%
당리 2
 
5.4%
9)석보 2
 
5.4%
⑤영양 2
 
5.4%
입암 1
 
2.7%
월구 1
 
2.7%
요원 1
 
2.7%
Other values (16) 16
43.2%
2023-12-12T21:17:01.231482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 7
 
7.0%
착 6
 
6.0%
영 5
 
5.0%
양 5
 
5.0%
리 4
 
4.0%
① 3
 
3.0%
보 3
 
3.0%
9 3
 
3.0%
( 3
 
3.0%
) 3
 
3.0%
Other values (38) 58
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
81.0%
Other Number 6
 
6.0%
Decimal Number 6
 
6.0%
Open Punctuation 3
 
3.0%
Close Punctuation 3
 
3.0%
Space Separator 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7
 
8.6%
착 6
 
7.4%
영 5
 
6.2%
양 5
 
6.2%
리 4
 
4.9%
보 3
 
3.7%
화 3
 
3.7%
삼 3
 
3.7%
원 3
 
3.7%
기 2
 
2.5%
Other values (29) 40
49.4%
Other Number
ValueCountFrequency (%)
① 3
50.0%
⑤ 2
33.3%
② 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
9 3
50.0%
2 2
33.3%
4 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
81.0%
Common 19
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7
 
8.6%
착 6
 
7.4%
영 5
 
6.2%
양 5
 
6.2%
리 4
 
4.9%
보 3
 
3.7%
화 3
 
3.7%
삼 3
 
3.7%
원 3
 
3.7%
기 2
 
2.5%
Other values (29) 40
49.4%
Common
ValueCountFrequency (%)
① 3
15.8%
9 3
15.8%
( 3
15.8%
) 3
15.8%
2 2
10.5%
⑤ 2
10.5%
1
 
5.3%
② 1
 
5.3%
4 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
81.0%
ASCII 13
 
13.0%
Enclosed Alphanum 6
 
6.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 7
 
8.6%
착 6
 
7.4%
영 5
 
6.2%
양 5
 
6.2%
리 4
 
4.9%
보 3
 
3.7%
화 3
 
3.7%
삼 3
 
3.7%
원 3
 
3.7%
기 2
 
2.5%
Other values (29) 40
49.4%
Enclosed Alphanum
ValueCountFrequency (%)
① 3
50.0%
⑤ 2
33.3%
② 1
 
16.7%
ASCII
ValueCountFrequency (%)
9 3
23.1%
( 3
23.1%
) 3
23.1%
2 2
15.4%
1
 
7.7%
4 1
 
7.7%

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing26
Missing (%)51.0%
Memory size540.0 B

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)86.3%
Memory size540.0 B

Unnamed: 13
Text

MISSING 

Distinct23
Distinct (%)56.1%
Missing10
Missing (%)19.6%
Memory size540.0 B
2023-12-12T21:17:01.484843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.3902439
Min length2

Characters and Unicode

Total characters98
Distinct characters45
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

Unique15 ?
Unique (%)36.6%

Sample

1st row5코스
2nd row②영양
3rd row입암
4th row죽골
5th row구매
ValueCountFrequency (%)
입암 7
17.1%
도착 6
14.6%
⑥진보 3
 
7.3%
삼막골 2
 
4.9%
석보 2
 
4.9%
병옥 2
 
4.9%
삼산 2
 
4.9%
금학 2
 
4.9%
5코스 1
 
2.4%
6)입암 1
 
2.4%
Other values (13) 13
31.7%
2023-12-12T21:17:01.959852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
입 8
 
8.2%
암 8
 
8.2%
도 6
 
6.1%
착 6
 
6.1%
보 5
 
5.1%
삼 4
 
4.1%
산 4
 
4.1%
⑥ 3
 
3.1%
진 3
 
3.1%
골 3
 
3.1%
Other values (35) 48
49.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 88
89.8%
Other Number 6
 
6.1%
Decimal Number 2
 
2.0%
Close Punctuation 1
 
1.0%
Open Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
입 8
 
9.1%
암 8
 
9.1%
도 6
 
6.8%
착 6
 
6.8%
보 5
 
5.7%
삼 4
 
4.5%
산 4
 
4.5%
진 3
 
3.4%
골 3
 
3.4%
양 3
 
3.4%
Other values (27) 38
43.2%
Other Number
ValueCountFrequency (%)
⑥ 3
50.0%
① 1
 
16.7%
④ 1
 
16.7%
② 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
6 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 88
89.8%
Common 10
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
입 8
 
9.1%
암 8
 
9.1%
도 6
 
6.8%
착 6
 
6.8%
보 5
 
5.7%
삼 4
 
4.5%
산 4
 
4.5%
진 3
 
3.4%
골 3
 
3.4%
양 3
 
3.4%
Other values (27) 38
43.2%
Common
ValueCountFrequency (%)
⑥ 3
30.0%
5 1
 
10.0%
) 1
 
10.0%
6 1
 
10.0%
( 1
 
10.0%
① 1
 
10.0%
④ 1
 
10.0%
② 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 88
89.8%
Enclosed Alphanum 6
 
6.1%
ASCII 4
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
입 8
 
9.1%
암 8
 
9.1%
도 6
 
6.8%
착 6
 
6.8%
보 5
 
5.7%
삼 4
 
4.5%
산 4
 
4.5%
진 3
 
3.4%
골 3
 
3.4%
양 3
 
3.4%
Other values (27) 38
43.2%
Enclosed Alphanum
ValueCountFrequency (%)
⑥ 3
50.0%
① 1
 
16.7%
④ 1
 
16.7%
② 1
 
16.7%
ASCII
ValueCountFrequency (%)
5 1
25.0%
) 1
25.0%
6 1
25.0%
( 1
25.0%

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing23
Missing (%)45.1%
Memory size540.0 B

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)84.3%
Memory size540.0 B

Unnamed: 16
Text

MISSING 

Distinct23
Distinct (%)56.1%
Missing10
Missing (%)19.6%
Memory size540.0 B
2023-12-12T21:17:02.162953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length2.5609756
Min length2

Characters and Unicode

Total characters105
Distinct characters49
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

Unique15 ?
Unique (%)36.6%

Sample

1st row6코스
2nd row④영양
3rd row입암
4th row도착
5th row②진보
ValueCountFrequency (%)
도착 7
17.1%
입암 6
14.6%
⑥진보 3
 
7.3%
금학 2
 
4.9%
화매 2
 
4.9%
삼막골 2
 
4.9%
석보 2
 
4.9%
④영양 2
 
4.9%
②진보 1
 
2.4%
5)입암 1
 
2.4%
Other values (13) 13
31.7%
2023-12-12T21:17:02.588969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 7
 
6.7%
입 7
 
6.7%
암 7
 
6.7%
착 7
 
6.7%
보 6
 
5.7%
삼 5
 
4.8%
진 4
 
3.8%
화 3
 
2.9%
영 3
 
2.9%
양 3
 
2.9%
Other values (39) 53
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 94
89.5%
Other Number 7
 
6.7%
Decimal Number 2
 
1.9%
Open Punctuation 1
 
1.0%
Close Punctuation 1
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7
 
7.4%
입 7
 
7.4%
암 7
 
7.4%
착 7
 
7.4%
보 6
 
6.4%
삼 5
 
5.3%
진 4
 
4.3%
화 3
 
3.2%
영 3
 
3.2%
양 3
 
3.2%
Other values (31) 42
44.7%
Other Number
ValueCountFrequency (%)
⑥ 3
42.9%
④ 2
28.6%
② 1
 
14.3%
⑤ 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
6 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 94
89.5%
Common 11
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7
 
7.4%
입 7
 
7.4%
암 7
 
7.4%
착 7
 
7.4%
보 6
 
6.4%
삼 5
 
5.3%
진 4
 
4.3%
화 3
 
3.2%
영 3
 
3.2%
양 3
 
3.2%
Other values (31) 42
44.7%
Common
ValueCountFrequency (%)
⑥ 3
27.3%
④ 2
18.2%
( 1
 
9.1%
5 1
 
9.1%
) 1
 
9.1%
6 1
 
9.1%
② 1
 
9.1%
⑤ 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 94
89.5%
Enclosed Alphanum 7
 
6.7%
ASCII 4
 
3.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 7
 
7.4%
입 7
 
7.4%
암 7
 
7.4%
착 7
 
7.4%
보 6
 
6.4%
삼 5
 
5.3%
진 4
 
4.3%
화 3
 
3.2%
영 3
 
3.2%
양 3
 
3.2%
Other values (31) 42
44.7%
Enclosed Alphanum
ValueCountFrequency (%)
⑥ 3
42.9%
④ 2
28.6%
② 1
 
14.3%
⑤ 1
 
14.3%
ASCII
ValueCountFrequency (%)
( 1
25.0%
5 1
25.0%
) 1
25.0%
6 1
25.0%

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)43.1%
Memory size540.0 B

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)86.3%
Memory size540.0 B

Unnamed: 19
Text

MISSING 

Distinct32
Distinct (%)64.0%
Missing1
Missing (%)2.0%
Memory size540.0 B
2023-12-12T21:17:02.815111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.74
Min length2

Characters and Unicode

Total characters137
Distinct characters61
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

Unique23 ?
Unique (%)46.0%

Sample

1st row7코스
2nd row④영양
3rd row소계
4th row석보
5th row요원
ValueCountFrequency (%)
도착 6
 
12.0%
입암 4
 
8.0%
청기터널 3
 
6.0%
청기 3
 
6.0%
수비 3
 
6.0%
청기면사무소 2
 
4.0%
②영양 2
 
4.0%
①영양 2
 
4.0%
계2리 2
 
4.0%
신원1 1
 
2.0%
Other values (22) 22
44.0%
2023-12-12T21:17:03.218440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 9
 
6.6%
청 8
 
5.8%
도 6
 
4.4%
양 6
 
4.4%
착 6
 
4.4%
계 5
 
3.6%
리 5
 
3.6%
영 5
 
3.6%
입 5
 
3.6%
암 4
 
2.9%
Other values (51) 78
56.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 120
87.6%
Decimal Number 7
 
5.1%
Other Number 6
 
4.4%
Open Punctuation 2
 
1.5%
Close Punctuation 2
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 9
 
7.5%
청 8
 
6.7%
도 6
 
5.0%
양 6
 
5.0%
착 6
 
5.0%
계 5
 
4.2%
리 5
 
4.2%
영 5
 
4.2%
입 5
 
4.2%
암 4
 
3.3%
Other values (40) 61
50.8%
Decimal Number
ValueCountFrequency (%)
1 2
28.6%
2 2
28.6%
3 1
14.3%
7 1
14.3%
0 1
14.3%
Other Number
ValueCountFrequency (%)
② 2
33.3%
① 2
33.3%
⑥ 1
16.7%
④ 1
16.7%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 120
87.6%
Common 17
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 9
 
7.5%
청 8
 
6.7%
도 6
 
5.0%
양 6
 
5.0%
착 6
 
5.0%
계 5
 
4.2%
리 5
 
4.2%
영 5
 
4.2%
입 5
 
4.2%
암 4
 
3.3%
Other values (40) 61
50.8%
Common
ValueCountFrequency (%)
1 2
11.8%
( 2
11.8%
) 2
11.8%
② 2
11.8%
2 2
11.8%
① 2
11.8%
⑥ 1
5.9%
3 1
5.9%
7 1
5.9%
④ 1
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 120
87.6%
ASCII 11
 
8.0%
Enclosed Alphanum 6
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 9
 
7.5%
청 8
 
6.7%
도 6
 
5.0%
양 6
 
5.0%
착 6
 
5.0%
계 5
 
4.2%
리 5
 
4.2%
영 5
 
4.2%
입 5
 
4.2%
암 4
 
3.3%
Other values (40) 61
50.8%
ASCII
ValueCountFrequency (%)
1 2
18.2%
( 2
18.2%
) 2
18.2%
2 2
18.2%
3 1
9.1%
7 1
9.1%
0 1
9.1%
Enclosed Alphanum
ValueCountFrequency (%)
② 2
33.3%
① 2
33.3%
⑥ 1
16.7%
④ 1
16.7%

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing22
Missing (%)43.1%
Memory size540.0 B

Unnamed: 21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)88.2%
Memory size540.0 B

Unnamed: 22
Text

MISSING 

Distinct18
Distinct (%)56.2%
Missing19
Missing (%)37.3%
Memory size540.0 B
2023-12-12T21:17:03.447275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.65625
Min length2

Characters and Unicode

Total characters85
Distinct characters38
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

Unique12 ?
Unique (%)37.5%

Sample

1st row8코스
2nd row②영양
3rd row수비
4th row오기
5th row본신
ValueCountFrequency (%)
수비 6
18.8%
도착 5
15.6%
②영양 3
 
9.4%
오기 2
 
6.2%
본신 2
 
6.2%
신원1 2
 
6.2%
3)계리입구중계 1
 
3.1%
청기 1
 
3.1%
양구 1
 
3.1%
터널 1
 
3.1%
Other values (8) 8
25.0%
2023-12-12T21:17:03.874907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 7
 
8.2%
수 6
 
7.1%
영 6
 
7.1%
비 6
 
7.1%
도 6
 
7.1%
착 5
 
5.9%
기 4
 
4.7%
신 4
 
4.7%
② 3
 
3.5%
계 3
 
3.5%
Other values (28) 35
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73
85.9%
Other Number 5
 
5.9%
Decimal Number 5
 
5.9%
Close Punctuation 1
 
1.2%
Open Punctuation 1
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 7
 
9.6%
수 6
 
8.2%
영 6
 
8.2%
비 6
 
8.2%
도 6
 
8.2%
착 5
 
6.8%
기 4
 
5.5%
신 4
 
5.5%
계 3
 
4.1%
오 2
 
2.7%
Other values (19) 24
32.9%
Decimal Number
ValueCountFrequency (%)
1 2
40.0%
3 1
20.0%
8 1
20.0%
2 1
20.0%
Other Number
ValueCountFrequency (%)
② 3
60.0%
④ 1
 
20.0%
① 1
 
20.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73
85.9%
Common 12
 
14.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 7
 
9.6%
수 6
 
8.2%
영 6
 
8.2%
비 6
 
8.2%
도 6
 
8.2%
착 5
 
6.8%
기 4
 
5.5%
신 4
 
5.5%
계 3
 
4.1%
오 2
 
2.7%
Other values (19) 24
32.9%
Common
ValueCountFrequency (%)
② 3
25.0%
1 2
16.7%
3 1
 
8.3%
) 1
 
8.3%
( 1
 
8.3%
④ 1
 
8.3%
① 1
 
8.3%
8 1
 
8.3%
2 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73
85.9%
ASCII 7
 
8.2%
Enclosed Alphanum 5
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 7
 
9.6%
수 6
 
8.2%
영 6
 
8.2%
비 6
 
8.2%
도 6
 
8.2%
착 5
 
6.8%
기 4
 
5.5%
신 4
 
5.5%
계 3
 
4.1%
오 2
 
2.7%
Other values (19) 24
32.9%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
60.0%
④ 1
 
20.0%
① 1
 
20.0%
ASCII
ValueCountFrequency (%)
1 2
28.6%
3 1
14.3%
) 1
14.3%
( 1
14.3%
8 1
14.3%
2 1
14.3%

Unnamed: 23
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing30
Missing (%)58.8%
Memory size540.0 B

Unnamed: 24
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)86.3%
Memory size540.0 B

Unnamed: 25
Text

MISSING 

Distinct24
Distinct (%)63.2%
Missing13
Missing (%)25.5%
Memory size540.0 B
2023-12-12T21:17:04.070057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.7631579
Min length2

Characters and Unicode

Total characters105
Distinct characters43
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

Unique18 ?
Unique (%)47.4%

Sample

1st row9코스
2nd row④영양
3rd row입암
4th row청기
5th row청기면사무소
ValueCountFrequency (%)
도착 6
15.8%
입암 4
 
10.5%
청기 3
 
7.9%
청기면사무소 3
 
7.9%
①영양 2
 
5.3%
4)석보 2
 
5.3%
삼산 1
 
2.6%
토곡 1
 
2.6%
⑤진보 1
 
2.6%
답곡 1
 
2.6%
Other values (14) 14
36.8%
2023-12-12T21:17:04.506402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 6
 
5.7%
청 6
 
5.7%
기 6
 
5.7%
착 6
 
5.7%
양 6
 
5.7%
입 5
 
4.8%
암 5
 
4.8%
영 5
 
4.8%
보 4
 
3.8%
소 4
 
3.8%
Other values (33) 52
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 89
84.8%
Other Number 6
 
5.7%
Decimal Number 4
 
3.8%
Open Punctuation 3
 
2.9%
Close Punctuation 3
 
2.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 6
 
6.7%
청 6
 
6.7%
기 6
 
6.7%
착 6
 
6.7%
양 6
 
6.7%
입 5
 
5.6%
암 5
 
5.6%
영 5
 
5.6%
보 4
 
4.5%
소 4
 
4.5%
Other values (25) 36
40.4%
Other Number
ValueCountFrequency (%)
① 2
33.3%
⑤ 2
33.3%
⑥ 1
16.7%
④ 1
16.7%
Decimal Number
ValueCountFrequency (%)
4 3
75.0%
9 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 89
84.8%
Common 16
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 6
 
6.7%
청 6
 
6.7%
기 6
 
6.7%
착 6
 
6.7%
양 6
 
6.7%
입 5
 
5.6%
암 5
 
5.6%
영 5
 
5.6%
보 4
 
4.5%
소 4
 
4.5%
Other values (25) 36
40.4%
Common
ValueCountFrequency (%)
( 3
18.8%
4 3
18.8%
) 3
18.8%
① 2
12.5%
⑤ 2
12.5%
9 1
 
6.2%
⑥ 1
 
6.2%
④ 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 89
84.8%
ASCII 10
 
9.5%
Enclosed Alphanum 6
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 6
 
6.7%
청 6
 
6.7%
기 6
 
6.7%
착 6
 
6.7%
양 6
 
6.7%
입 5
 
5.6%
암 5
 
5.6%
영 5
 
5.6%
보 4
 
4.5%
소 4
 
4.5%
Other values (25) 36
40.4%
ASCII
ValueCountFrequency (%)
( 3
30.0%
4 3
30.0%
) 3
30.0%
9 1
 
10.0%
Enclosed Alphanum
ValueCountFrequency (%)
① 2
33.3%
⑤ 2
33.3%
⑥ 1
16.7%
④ 1
16.7%

Unnamed: 26
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)49.0%
Memory size540.0 B

Unnamed: 27
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)88.2%
Memory size540.0 B

Unnamed: 28
Categorical

Distinct16
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
19 
소계
7 
도착
5 
⑤영양
4 
(2)석보
3 
Other values (11)
13 

Length

Max length6
Median length5
Mean length3.2745098
Min length2

Unique

Unique9 ?
Unique (%)17.6%

Sample

1st row<NA>
2nd row10코스
3rd row⑤영양
4th row석보
5th row홍계

Common Values

ValueCountFrequency (%)
<NA> 19
37.3%
소계 7
 
13.7%
도착 5
 
9.8%
⑤영양 4
 
7.8%
(2)석보 3
 
5.9%
홍계 2
 
3.9%
답곡 2
 
3.9%
10코스 1
 
2.0%
석보 1
 
2.0%
(7)석보 1
 
2.0%
Other values (6) 6
 
11.8%

Length

2023-12-12T21:17:04.721003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 19
37.3%
소계 7
 
13.7%
도착 5
 
9.8%
⑤영양 4
 
7.8%
2)석보 3
 
5.9%
홍계 2
 
3.9%
답곡 2
 
3.9%
10코스 1
 
2.0%
석보 1
 
2.0%
7)석보 1
 
2.0%
Other values (6) 6
 
11.8%

Unnamed: 29
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing24
Missing (%)47.1%
Memory size540.0 B

Unnamed: 30
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing44
Missing (%)86.3%
Memory size540.0 B

Unnamed: 31
Text

MISSING 

Distinct28
Distinct (%)70.0%
Missing11
Missing (%)21.6%
Memory size540.0 B
2023-12-12T21:17:04.927895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.7
Min length2

Characters and Unicode

Total characters108
Distinct characters56
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

Unique21 ?
Unique (%)52.5%

Sample

1st row11코스
2nd row①영양
3rd row도계2
4th row오리
5th row오리안골
ValueCountFrequency (%)
도착 5
 
12.5%
①영양 4
 
10.0%
입암 2
 
5.0%
청기면사무소 2
 
5.0%
청기 2
 
5.0%
당리 2
 
5.0%
터널 2
 
5.0%
토곡 1
 
2.5%
도계2 1
 
2.5%
②진보 1
 
2.5%
Other values (18) 18
45.0%
2023-12-12T21:17:05.277994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
도 6
 
5.6%
영 6
 
5.6%
양 6
 
5.6%
착 5
 
4.6%
① 4
 
3.7%
청 4
 
3.7%
기 4
 
3.7%
리 4
 
3.7%
입 3
 
2.8%
암 3
 
2.8%
Other values (46) 63
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
88.9%
Other Number 6
 
5.6%
Decimal Number 4
 
3.7%
Close Punctuation 1
 
0.9%
Open Punctuation 1
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 6
 
6.2%
영 6
 
6.2%
양 6
 
6.2%
착 5
 
5.2%
청 4
 
4.2%
기 4
 
4.2%
리 4
 
4.2%
입 3
 
3.1%
암 3
 
3.1%
무 3
 
3.1%
Other values (39) 52
54.2%
Other Number
ValueCountFrequency (%)
① 4
66.7%
② 1
 
16.7%
④ 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
88.9%
Common 12
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 6
 
6.2%
영 6
 
6.2%
양 6
 
6.2%
착 5
 
5.2%
청 4
 
4.2%
기 4
 
4.2%
리 4
 
4.2%
입 3
 
3.1%
암 3
 
3.1%
무 3
 
3.1%
Other values (39) 52
54.2%
Common
ValueCountFrequency (%)
① 4
33.3%
2 2
16.7%
1 2
16.7%
② 1
 
8.3%
④ 1
 
8.3%
) 1
 
8.3%
( 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
88.9%
Enclosed Alphanum 6
 
5.6%
ASCII 6
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
도 6
 
6.2%
영 6
 
6.2%
양 6
 
6.2%
착 5
 
5.2%
청 4
 
4.2%
기 4
 
4.2%
리 4
 
4.2%
입 3
 
3.1%
암 3
 
3.1%
무 3
 
3.1%
Other values (39) 52
54.2%
Enclosed Alphanum
ValueCountFrequency (%)
① 4
66.7%
② 1
 
16.7%
④ 1
 
16.7%
ASCII
ValueCountFrequency (%)
2 2
33.3%
1 2
33.3%
) 1
16.7%
( 1
16.7%

Unnamed: 32
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing28
Missing (%)54.9%
Memory size540.0 B

Unnamed: 33
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing41
Missing (%)80.4%
Memory size540.0 B

Unnamed: 34
Categorical

Distinct24
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Memory size540.0 B
도착
9 
입암
4 
진보
4 
⑤영양
3 
영양
3 
Other values (19)
28 

Length

Max length6
Median length2
Mean length2.5098039
Min length2

Unique

Unique12 ?
Unique (%)23.5%

Sample

1st row<NA>
2nd row12코스
3rd row⑤영양
4th row판사
5th row죽파

Common Values

ValueCountFrequency (%)
도착 9
17.6%
입암 4
 
7.8%
진보 4
 
7.8%
⑤영양 3
 
5.9%
영양 3
 
5.9%
⑥진보 3
 
5.9%
석보 3
 
5.9%
방전안 2
 
3.9%
경북재활 2
 
3.9%
죽파 2
 
3.9%
Other values (14) 16
31.4%

Length

2023-12-12T21:17:05.463792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도착 9
17.6%
진보 4
 
7.8%
입암 4
 
7.8%
⑤영양 3
 
5.9%
영양 3
 
5.9%
⑥진보 3
 
5.9%
석보 3
 
5.9%
④영양 2
 
3.9%
구수골 2
 
3.9%
경북재활 2
 
3.9%
Other values (14) 16
31.4%

Unnamed: 35
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing25
Missing (%)49.0%
Memory size540.0 B

Unnamed: 36
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing43
Missing (%)84.3%
Memory size540.0 B

Unnamed: 37
Text

MISSING 

Distinct17
Distinct (%)50.0%
Missing17
Missing (%)33.3%
Memory size540.0 B
2023-12-12T21:17:05.632080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.5882353
Min length2

Characters and Unicode

Total characters88
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)23.5%

Sample

1st row13코스
2nd row②영양
3rd row용화
4th row영양
5th row도착
ValueCountFrequency (%)
영양 6
17.6%
도착 5
14.7%
②영양 3
8.8%
지무실 2
 
5.9%
⑤영양 2
 
5.9%
용화 2
 
5.9%
손님있을시운행 2
 
5.9%
입암 2
 
5.9%
양구 2
 
5.9%
섬촌 1
 
2.9%
Other values (7) 7
20.6%
2023-12-12T21:17:06.039354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
양 14
 
15.9%
영 12
 
13.6%
도 6
 
6.8%
착 5
 
5.7%
② 3
 
3.4%
운 2
 
2.3%
화 2
 
2.3%
용 2
 
2.3%
실 2
 
2.3%
무 2
 
2.3%
Other values (27) 38
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80
90.9%
Other Number 6
 
6.8%
Decimal Number 2
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 14
17.5%
영 12
 
15.0%
도 6
 
7.5%
착 5
 
6.2%
운 2
 
2.5%
화 2
 
2.5%
용 2
 
2.5%
실 2
 
2.5%
무 2
 
2.5%
지 2
 
2.5%
Other values (22) 31
38.8%
Other Number
ValueCountFrequency (%)
② 3
50.0%
⑤ 2
33.3%
④ 1
 
16.7%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
1 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80
90.9%
Common 8
 
9.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 14
17.5%
영 12
 
15.0%
도 6
 
7.5%
착 5
 
6.2%
운 2
 
2.5%
화 2
 
2.5%
용 2
 
2.5%
실 2
 
2.5%
무 2
 
2.5%
지 2
 
2.5%
Other values (22) 31
38.8%
Common
ValueCountFrequency (%)
② 3
37.5%
⑤ 2
25.0%
3 1
 
12.5%
1 1
 
12.5%
④ 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80
90.9%
Enclosed Alphanum 6
 
6.8%
ASCII 2
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
양 14
17.5%
영 12
 
15.0%
도 6
 
7.5%
착 5
 
6.2%
운 2
 
2.5%
화 2
 
2.5%
용 2
 
2.5%
실 2
 
2.5%
무 2
 
2.5%
지 2
 
2.5%
Other values (22) 31
38.8%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
50.0%
⑤ 2
33.3%
④ 1
 
16.7%
ASCII
ValueCountFrequency (%)
3 1
50.0%
1 1
50.0%

Unnamed: 38
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)62.7%
Memory size540.0 B

Unnamed: 39
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing45
Missing (%)88.2%
Memory size540.0 B

Unnamed: 40
Text

MISSING 

Distinct16
Distinct (%)66.7%
Missing27
Missing (%)52.9%
Memory size540.0 B
2023-12-12T21:17:06.256301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.5
Min length2

Characters and Unicode

Total characters60
Distinct characters32
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)54.2%

Sample

1st row14코스
2nd row①영양
3rd row정족
4th row청기
5th row청기면사무소
ValueCountFrequency (%)
도착 5
20.8%
②영양 3
12.5%
수비 3
12.5%
14코스 1
 
4.2%
공수하 1
 
4.2%
섬촌 1
 
4.2%
죽파 1
 
4.2%
기산 1
 
4.2%
④영양 1
 
4.2%
입암 1
 
4.2%
Other values (6) 6
25.0%
2023-12-12T21:17:06.668437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 6
 
10.0%
양 6
 
10.0%
도 5
 
8.3%
착 5
 
8.3%
수 4
 
6.7%
② 3
 
5.0%
비 3
 
5.0%
기 3
 
5.0%
청 2
 
3.3%
무 1
 
1.7%
Other values (22) 22
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53
88.3%
Other Number 5
 
8.3%
Decimal Number 2
 
3.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 6
 
11.3%
양 6
 
11.3%
도 5
 
9.4%
착 5
 
9.4%
수 4
 
7.5%
비 3
 
5.7%
기 3
 
5.7%
청 2
 
3.8%
무 1
 
1.9%
면 1
 
1.9%
Other values (17) 17
32.1%
Other Number
ValueCountFrequency (%)
② 3
60.0%
① 1
 
20.0%
④ 1
 
20.0%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
1 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53
88.3%
Common 7
 
11.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 6
 
11.3%
양 6
 
11.3%
도 5
 
9.4%
착 5
 
9.4%
수 4
 
7.5%
비 3
 
5.7%
기 3
 
5.7%
청 2
 
3.8%
무 1
 
1.9%
면 1
 
1.9%
Other values (17) 17
32.1%
Common
ValueCountFrequency (%)
② 3
42.9%
① 1
 
14.3%
④ 1
 
14.3%
4 1
 
14.3%
1 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53
88.3%
Enclosed Alphanum 5
 
8.3%
ASCII 2
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 6
 
11.3%
양 6
 
11.3%
도 5
 
9.4%
착 5
 
9.4%
수 4
 
7.5%
비 3
 
5.7%
기 3
 
5.7%
청 2
 
3.8%
무 1
 
1.9%
면 1
 
1.9%
Other values (17) 17
32.1%
Enclosed Alphanum
ValueCountFrequency (%)
② 3
60.0%
① 1
 
20.0%
④ 1
 
20.0%
ASCII
ValueCountFrequency (%)
4 1
50.0%
1 1
50.0%

Unnamed: 41
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing32
Missing (%)62.7%
Memory size540.0 B

Sample

영양군 농어촌버스 시간표(23.09.12.)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41
0NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaN
1노선번호1코스NaN노선번호2코스NaN노선번호3코스NaN노선번호4코스NaN노선번호5코스NaN노선번호6코스NaN노선번호7코스NaN노선번호8코스NaN노선번호9코스NaN노선번호10코스NaN노선번호11코스NaN노선번호12코스NaN노선번호13코스NaN노선번호14코스NaN
2110⑤영양06:30:00150①영양06:10:00120②영양05:50:00140②영양06:20:00251②영양06:05:00270④영양06:45:00280④영양06:05:00131②영양07:20:00152④영양08:30:00172⑤영양06:05:00141①영양07:00:00130⑤영양06:20:00142②영양10:00:00170①영양07:20:00
3NaN양구06:55:00NaN가곡NaNNaN수비06:10:00NaN계2리NaNNaN입암06:15:00NaN입암06:55:00NaN소계NaNNaN수비07:40:00NaN입암08:40:00NaN석보06:25:00NaN도계207:10:00NaN판사06:40:00NaN용화10:30:00NaN정족07:30:00
4NaN도착07:25:00NaN청기06:35:00NaN신암06:40:00NaN용화07:10:00NaN죽골NaNNaN도착07:10:00NaN석보06:25:00NaN오기07:55:00NaN청기09:00:00NaN홍계06:50:00NaN오리07:25:00NaN죽파06:55:00NaN영양NaNNaN청기07:45:00
5275①영양07:50:00NaN청기면사무소NaNNaN오무07:00:00NaN도착07:35:00NaN구매06:45:00373②진보07:25:00NaN요원NaNNaN본신08:15:00NaN청기면사무소NaNNaN답곡07:05:00NaN오리안골NaNNaN섬촌NaNNaN도착NaNNaN청기면사무소NaN
6NaN당리NaNNaN흙티NaNNaN공수하NaN111⑤영양07:50:00NaN입암07:05:00NaN(5)입암07:40:00NaN삼의NaNNaN신원1NaNNaN가곡09:10:00NaN(7)석보07:20:00NaN장천07:55:00NaN도착NaN113⑤영양12:30:00NaN입암08:00:00
7NaN행화08:20:00NaN토곡07:00:00NaN수비07:25:00NaN상원08:00:00NaN금학07:15:00NaN도착07:50:00NaN화매07:05:00NaN수비08:30:00NaN도착NaNNaN소계07:30:00NaN도착NaN112⑤영양08:00:00NaN지무실12:40:00NaN영양NaN
8NaN재산08:45:00NaN당리07:15:00NaN도착07:45:00NaN삼지08:10:00NaN삼막골NaN272④영양09:40:00NaN(10)석보07:20:00NaN도착NaN250①영양10:25:00NaN도착NaN151①영양08:10:00NaN지무실08:10:00NaN양구13:00:00NaN도착NaN
9NaN당리09:00:00NaN도착07:35:00121②영양08:45:00NaN도착08:15:00NaN(6)입암07:40:00NaN입암09:50:00NaN도착07:30:00133②영양10:30:00NaN(4)정족10:45:00173⑤영양09:20:00NaN당리08:30:00NaN금지08:20:00NaN영양NaN132④영양11:00:00
영양군 농어촌버스 시간표(23.09.12.)Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23Unnamed: 24Unnamed: 25Unnamed: 26Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31Unnamed: 32Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39Unnamed: 40Unnamed: 41
41NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN산해NaNNaN상원18:55:00NaN계2리16:40:00NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN가곡19:20:00NaN도착NaNNaN<NA>NaNNaN<NA>NaN
42NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN입암18:10:00NaN손님없을시차고지NaNNaN수비16:50:00NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN영양19:30:00373⑥진보16:20:00NaN<NA>NaNNaN<NA>NaN
43NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN도착18:20:00NaN도착19:00:00NaN오기17:05:00NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN입암16:35:00NaN<NA>NaNNaN<NA>NaN
44NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN수비17:20:00NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN영양NaNNaN<NA>NaNNaN<NA>NaN
45NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN신원1NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN도착NaNNaN<NA>NaNNaN<NA>NaN
46NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN본신17:35:00NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaN136⑤영양17:30:00NaN<NA>NaNNaN<NA>NaN
47NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN수비17:50:00NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN죽파18:00:00NaN<NA>NaNNaN<NA>NaN
48NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN(3)계리입구중계NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN기산18:30:00NaN<NA>NaNNaN<NA>NaN
49NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN계2리NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN영양19:10:00NaN<NA>NaNNaN<NA>NaN
50NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN도착18:25:00NaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN<NA>NaNNaN도착NaNNaN<NA>NaNNaN<NA>NaN