Overview

Dataset statistics

Number of variables21
Number of observations351
Missing cells3671
Missing cells (%)49.8%
Duplicate rows1
Duplicate rows (%)0.3%
Total size in memory61.8 KiB
Average record size in memory180.4 B

Variable types

Numeric2
Text3
Categorical4
DateTime2
Unsupported10

Dataset

Description경상남도 진주시 관내 버스정보안내기의 설치현황(BIT번호, 정류장ID, 지점명, 방향, 주소, 설치년도) 자료를 올려드리니 참고하시기 바랍니다.
Author경상남도 진주시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15094017

Alerts

데이터기준일 has constant value ""Constant
Dataset has 1 (0.3%) duplicate rowsDuplicates
버스정보안내기 설치방향 is highly imbalanced (53.4%)Imbalance
순번 has 23 (6.6%) missing valuesMissing
정류장 아이디 has 23 (6.6%) missing valuesMissing
지점명 has 23 (6.6%) missing valuesMissing
방향 has 23 (6.6%) missing valuesMissing
주소 has 23 (6.6%) missing valuesMissing
설치년도 has 23 (6.6%) missing valuesMissing
데이터기준일 has 23 (6.6%) missing valuesMissing
Unnamed: 11 has 351 (100.0%) missing valuesMissing
Unnamed: 12 has 351 (100.0%) missing valuesMissing
Unnamed: 13 has 351 (100.0%) missing valuesMissing
Unnamed: 14 has 351 (100.0%) missing valuesMissing
Unnamed: 15 has 351 (100.0%) missing valuesMissing
Unnamed: 16 has 351 (100.0%) missing valuesMissing
Unnamed: 17 has 351 (100.0%) missing valuesMissing
Unnamed: 18 has 351 (100.0%) missing valuesMissing
Unnamed: 19 has 351 (100.0%) missing valuesMissing
Unnamed: 20 has 351 (100.0%) missing valuesMissing
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: 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

Reproduction

Analysis started2023-12-11 00:15:13.003199
Analysis finished2023-12-11 00:15:13.436367
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

MISSING 

Distinct328
Distinct (%)100.0%
Missing23
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean164.5
Minimum1
Maximum328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T09:15:13.497223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile17.35
Q182.75
median164.5
Q3246.25
95-th percentile311.65
Maximum328
Range327
Interquartile range (IQR)163.5

Descriptive statistics

Standard deviation94.829672
Coefficient of variation (CV)0.57647217
Kurtosis-1.2
Mean164.5
Median Absolute Deviation (MAD)82
Skewness0
Sum53956
Variance8992.6667
MonotonicityStrictly increasing
2023-12-11T09:15:13.626331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
227 1
 
0.3%
225 1
 
0.3%
224 1
 
0.3%
223 1
 
0.3%
222 1
 
0.3%
221 1
 
0.3%
220 1
 
0.3%
219 1
 
0.3%
218 1
 
0.3%
217 1
 
0.3%
Other values (318) 318
90.6%
(Missing) 23
 
6.6%
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 (%)
328 1
0.3%
327 1
0.3%
326 1
0.3%
325 1
0.3%
324 1
0.3%
323 1
0.3%
322 1
0.3%
321 1
0.3%
320 1
0.3%
319 1
0.3%

정류장 아이디
Real number (ℝ)

MISSING 

Distinct323
Distinct (%)98.5%
Missing23
Missing (%)6.6%
Infinite0
Infinite (%)0.0%
Mean3.8121409 × 108
Minimum3.81101 × 108
Maximum3.8124905 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.2 KiB
2023-12-11T09:15:13.756969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.81101 × 108
5-th percentile3.8110301 × 108
Q13.8122001 × 108
median3.8123503 × 108
Q33.8124325 × 108
95-th percentile3.8124903 × 108
Maximum3.8124905 × 108
Range148042
Interquartile range (IQR)23244.75

Descriptive statistics

Standard deviation50583.224
Coefficient of variation (CV)0.00013268981
Kurtosis0.73850721
Mean3.8121409 × 108
Median Absolute Deviation (MAD)11500.5
Skewness-1.5950596
Sum1.2503822 × 1011
Variance2.5586625 × 109
MonotonicityNot monotonic
2023-12-11T09:15:13.894650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
381235006 2
 
0.6%
381247008 2
 
0.6%
381227003 2
 
0.6%
381227002 2
 
0.6%
381247005 2
 
0.6%
381235012 1
 
0.3%
381249015 1
 
0.3%
381249024 1
 
0.3%
381249023 1
 
0.3%
381249022 1
 
0.3%
Other values (313) 313
89.2%
(Missing) 23
 
6.6%
ValueCountFrequency (%)
381101004 1
0.3%
381101005 1
0.3%
381101007 1
0.3%
381101009 1
0.3%
381101030 1
0.3%
381101033 1
0.3%
381101036 1
0.3%
381101089 1
0.3%
381101105 1
0.3%
381101107 1
0.3%
ValueCountFrequency (%)
381249046 1
0.3%
381249045 1
0.3%
381249044 1
0.3%
381249043 1
0.3%
381249042 1
0.3%
381249041 1
0.3%
381249040 1
0.3%
381249039 1
0.3%
381249038 1
0.3%
381249037 1
0.3%

지점명
Text

MISSING 

Distinct228
Distinct (%)69.5%
Missing23
Missing (%)6.6%
Memory size2.9 KiB
2023-12-11T09:15:14.140909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10.5
Mean length6.7530488
Min length2

Characters and Unicode

Total characters2215
Distinct characters257
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique131 ?
Unique (%)39.9%

Sample

1st row경상국립대가좌정문
2nd row경상국립대가좌후문
3rd row개양오거리
4th row선학사거리/제일여고
5th row가좌주공아파트
ValueCountFrequency (%)
경상국립대가좌후문 3
 
0.9%
진주시청 3
 
0.9%
경상국립대가좌정문 3
 
0.9%
나래공원 2
 
0.6%
남강초등학교 2
 
0.6%
구.삼삼주유소 2
 
0.6%
부영11/중흥12단지 2
 
0.6%
공단광장 2
 
0.6%
망경한보아파트정문 2
 
0.6%
한일병원 2
 
0.6%
Other values (219) 307
93.0%
2023-12-11T09:15:14.497632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 66
 
3.0%
65
 
2.9%
61
 
2.8%
59
 
2.7%
52
 
2.3%
49
 
2.2%
48
 
2.2%
46
 
2.1%
38
 
1.7%
37
 
1.7%
Other values (247) 1694
76.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2030
91.6%
Other Punctuation 73
 
3.3%
Uppercase Letter 55
 
2.5%
Decimal Number 41
 
1.9%
Open Punctuation 7
 
0.3%
Close Punctuation 7
 
0.3%
Space Separator 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
 
3.2%
61
 
3.0%
59
 
2.9%
52
 
2.6%
49
 
2.4%
48
 
2.4%
46
 
2.3%
38
 
1.9%
37
 
1.8%
35
 
1.7%
Other values (223) 1540
75.9%
Uppercase Letter
ValueCountFrequency (%)
H 14
25.5%
L 14
25.5%
T 6
10.9%
P 4
 
7.3%
A 4
 
7.3%
K 4
 
7.3%
B 3
 
5.5%
S 3
 
5.5%
M 1
 
1.8%
G 1
 
1.8%
Decimal Number
ValueCountFrequency (%)
1 14
34.1%
0 6
14.6%
5 5
 
12.2%
2 4
 
9.8%
3 4
 
9.8%
9 4
 
9.8%
4 2
 
4.9%
8 2
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 66
90.4%
. 7
 
9.6%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2030
91.6%
Common 130
 
5.9%
Latin 55
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
 
3.2%
61
 
3.0%
59
 
2.9%
52
 
2.6%
49
 
2.4%
48
 
2.4%
46
 
2.3%
38
 
1.9%
37
 
1.8%
35
 
1.7%
Other values (223) 1540
75.9%
Common
ValueCountFrequency (%)
/ 66
50.8%
1 14
 
10.8%
( 7
 
5.4%
. 7
 
5.4%
) 7
 
5.4%
0 6
 
4.6%
5 5
 
3.8%
2 4
 
3.1%
3 4
 
3.1%
9 4
 
3.1%
Other values (3) 6
 
4.6%
Latin
ValueCountFrequency (%)
H 14
25.5%
L 14
25.5%
T 6
10.9%
P 4
 
7.3%
A 4
 
7.3%
K 4
 
7.3%
B 3
 
5.5%
S 3
 
5.5%
M 1
 
1.8%
G 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2030
91.6%
ASCII 185
 
8.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 66
35.7%
1 14
 
7.6%
H 14
 
7.6%
L 14
 
7.6%
( 7
 
3.8%
. 7
 
3.8%
) 7
 
3.8%
T 6
 
3.2%
0 6
 
3.2%
5 5
 
2.7%
Other values (14) 39
21.1%
Hangul
ValueCountFrequency (%)
65
 
3.2%
61
 
3.0%
59
 
2.9%
52
 
2.6%
49
 
2.4%
48
 
2.4%
46
 
2.3%
38
 
1.9%
37
 
1.8%
35
 
1.7%
Other values (223) 1540
75.9%

방향
Text

MISSING 

Distinct126
Distinct (%)38.4%
Missing23
Missing (%)6.6%
Memory size2.9 KiB
2023-12-11T09:15:14.715074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length4.6097561
Min length2

Characters and Unicode

Total characters1512
Distinct characters208
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

Unique79 ?
Unique (%)24.1%

Sample

1st row진주성
2nd row진주성
3rd row진주성
4th row공단광장
5th row진주성
ValueCountFrequency (%)
중앙시장 29
 
8.8%
경상대 20
 
6.1%
진주성 20
 
6.1%
초전동 18
 
5.5%
공단광장 17
 
5.2%
이현동 16
 
4.9%
진주ic 14
 
4.3%
진양호 11
 
3.3%
진주시청 9
 
2.7%
오죽광장 6
 
1.8%
Other values (117) 169
51.4%
2023-12-11T09:15:15.043012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
4.8%
64
 
4.2%
63
 
4.2%
54
 
3.6%
53
 
3.5%
39
 
2.6%
32
 
2.1%
32
 
2.1%
31
 
2.1%
31
 
2.1%
Other values (198) 1040
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1383
91.5%
Uppercase Letter 66
 
4.4%
Decimal Number 31
 
2.1%
Other Punctuation 28
 
1.9%
Lowercase Letter 3
 
0.2%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
73
 
5.3%
64
 
4.6%
63
 
4.6%
54
 
3.9%
53
 
3.8%
39
 
2.8%
32
 
2.3%
32
 
2.3%
31
 
2.2%
31
 
2.2%
Other values (177) 911
65.9%
Uppercase Letter
ValueCountFrequency (%)
C 18
27.3%
I 16
24.2%
L 13
19.7%
H 13
19.7%
M 2
 
3.0%
B 2
 
3.0%
T 1
 
1.5%
K 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 11
35.5%
5 5
16.1%
0 4
 
12.9%
3 4
 
12.9%
9 3
 
9.7%
8 2
 
6.5%
2 2
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
b 1
33.3%
s 1
33.3%
Other Punctuation
ValueCountFrequency (%)
/ 24
85.7%
. 4
 
14.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1383
91.5%
Latin 69
 
4.6%
Common 60
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
73
 
5.3%
64
 
4.6%
63
 
4.6%
54
 
3.9%
53
 
3.8%
39
 
2.8%
32
 
2.3%
32
 
2.3%
31
 
2.2%
31
 
2.2%
Other values (177) 911
65.9%
Latin
ValueCountFrequency (%)
C 18
26.1%
I 16
23.2%
L 13
18.8%
H 13
18.8%
M 2
 
2.9%
B 2
 
2.9%
T 1
 
1.4%
k 1
 
1.4%
b 1
 
1.4%
s 1
 
1.4%
Common
ValueCountFrequency (%)
/ 24
40.0%
1 11
18.3%
5 5
 
8.3%
0 4
 
6.7%
3 4
 
6.7%
. 4
 
6.7%
9 3
 
5.0%
8 2
 
3.3%
2 2
 
3.3%
1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1383
91.5%
ASCII 129
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
73
 
5.3%
64
 
4.6%
63
 
4.6%
54
 
3.9%
53
 
3.8%
39
 
2.8%
32
 
2.3%
32
 
2.3%
31
 
2.2%
31
 
2.2%
Other values (177) 911
65.9%
ASCII
ValueCountFrequency (%)
/ 24
18.6%
C 18
14.0%
I 16
12.4%
L 13
10.1%
H 13
10.1%
1 11
8.5%
5 5
 
3.9%
0 4
 
3.1%
3 4
 
3.1%
. 4
 
3.1%
Other values (11) 17
13.2%

지역
Categorical

Distinct43
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
충무공동
43 
상대동
26 
가좌동
26 
<NA>
23 
하대동
 
20
Other values (38)
213 

Length

Max length4
Median length3
Mean length3.1937322
Min length3

Unique

Unique7 ?
Unique (%)2.0%

Sample

1st row가좌동
2nd row가좌동
3rd row가좌동
4th row하대동
5th row가좌동

Common Values

ValueCountFrequency (%)
충무공동 43
 
12.3%
상대동 26
 
7.4%
가좌동 26
 
7.4%
<NA> 23
 
6.6%
하대동 20
 
5.7%
신안동 17
 
4.8%
초전동 14
 
4.0%
봉곡동 14
 
4.0%
상평동 12
 
3.4%
칠암동 11
 
3.1%
Other values (33) 145
41.3%

Length

2023-12-11T09:15:15.177849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
충무공동 43
 
12.3%
가좌동 26
 
7.4%
상대동 26
 
7.4%
na 23
 
6.6%
하대동 20
 
5.7%
신안동 17
 
4.8%
초전동 14
 
4.0%
봉곡동 14
 
4.0%
상평동 12
 
3.4%
칠암동 11
 
3.1%
Other values (33) 145
41.3%

모델
Categorical

Distinct5
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
CNR-L500
247 
내부망
41 
<NA>
28 
CNR-L580
26 
CNR-L200
 
9

Length

Max length8
Median length8
Mean length7.0968661
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd rowCNR-L500
4th rowCNR-L500
5th rowCNR-L500

Common Values

ValueCountFrequency (%)
CNR-L500 247
70.4%
내부망 41
 
11.7%
<NA> 28
 
8.0%
CNR-L580 26
 
7.4%
CNR-L200 9
 
2.6%

Length

2023-12-11T09:15:15.288352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:15.401158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cnr-l500 247
70.4%
내부망 41
 
11.7%
na 28
 
8.0%
cnr-l580 26
 
7.4%
cnr-l200 9
 
2.6%

타입
Categorical

Distinct11
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
LCD 단면형
97 
4단10열 S
85 
4단10열 P
36 
2단8열 S
31 
<NA>
23 
Other values (6)
79 

Length

Max length7
Median length7
Mean length6.6723647
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4단10열 S
2nd row4단10열 S
3rd rowLCD 단면형
4th rowLCD 단면형
5th rowLCD 단면형

Common Values

ValueCountFrequency (%)
LCD 단면형 97
27.6%
4단10열 S 85
24.2%
4단10열 P 36
 
10.3%
2단8열 S 31
 
8.8%
<NA> 23
 
6.6%
LCD 양면형 21
 
6.0%
4단12열 S 18
 
5.1%
스마트정류장 15
 
4.3%
3단10열 S 15
 
4.3%
3단10열 P 6
 
1.7%

Length

2023-12-11T09:15:15.523601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
s 149
22.4%
4단10열 121
18.2%
lcd 118
17.8%
단면형 97
14.6%
p 46
 
6.9%
2단8열 31
 
4.7%
na 23
 
3.5%
4단12열 22
 
3.3%
양면형 21
 
3.2%
3단10열 21
 
3.2%

버스정보안내기 설치방향
Categorical

IMBALANCE 

Distinct7
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
정방향
266 
역방향
 
25
<NA>
 
23
양면
 
21
정면
 
14
Other values (2)
 
2

Length

Max length6
Median length3
Mean length2.97151
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
정방향 266
75.8%
역방향 25
 
7.1%
<NA> 23
 
6.6%
양면 21
 
6.0%
정면 14
 
4.0%
옆면 1
 
0.3%
길건너 정면 1
 
0.3%

Length

2023-12-11T09:15:15.641714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:15:15.759560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정방향 266
75.6%
역방향 25
 
7.1%
na 23
 
6.5%
양면 21
 
6.0%
정면 15
 
4.3%
옆면 1
 
0.3%
길건너 1
 
0.3%

주소
Text

MISSING 

Distinct312
Distinct (%)95.1%
Missing23
Missing (%)6.6%
Memory size2.9 KiB
2023-12-11T09:15:16.044875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length18.091463
Min length12

Characters and Unicode

Total characters5934
Distinct characters206
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

Unique297 ?
Unique (%)90.5%

Sample

1st row경남 진주시 진주대로 518
2nd row경남 진주시 진주대로 548
3rd row경남 진주시 진주대로 572
4th row경남 진주시 대신로 357
5th row경남 진주시 가좌동 652-15
ValueCountFrequency (%)
진주시 328
21.9%
경남 324
21.6%
충무공동 42
 
2.8%
34
 
2.3%
진주대로 29
 
1.9%
대신로 20
 
1.3%
동진로 16
 
1.1%
정류장 15
 
1.0%
진양호로 15
 
1.0%
가좌동 15
 
1.0%
Other values (471) 661
44.1%
2023-12-11T09:15:16.512348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1174
19.8%
410
 
6.9%
375
 
6.3%
339
 
5.7%
333
 
5.6%
332
 
5.6%
1 268
 
4.5%
2 180
 
3.0%
177
 
3.0%
- 158
 
2.7%
Other values (196) 2188
36.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3345
56.4%
Space Separator 1174
 
19.8%
Decimal Number 1159
 
19.5%
Dash Punctuation 158
 
2.7%
Close Punctuation 46
 
0.8%
Open Punctuation 46
 
0.8%
Uppercase Letter 5
 
0.1%
Control 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
410
 
12.3%
375
 
11.2%
339
 
10.1%
333
 
10.0%
332
 
9.9%
177
 
5.3%
144
 
4.3%
77
 
2.3%
51
 
1.5%
48
 
1.4%
Other values (177) 1059
31.7%
Decimal Number
ValueCountFrequency (%)
1 268
23.1%
2 180
15.5%
4 110
9.5%
5 104
 
9.0%
3 100
 
8.6%
6 89
 
7.7%
8 88
 
7.6%
7 83
 
7.2%
9 74
 
6.4%
0 63
 
5.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
G 1
20.0%
S 1
20.0%
K 1
20.0%
Space Separator
ValueCountFrequency (%)
1174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 158
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3345
56.4%
Common 2584
43.5%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
410
 
12.3%
375
 
11.2%
339
 
10.1%
333
 
10.0%
332
 
9.9%
177
 
5.3%
144
 
4.3%
77
 
2.3%
51
 
1.5%
48
 
1.4%
Other values (177) 1059
31.7%
Common
ValueCountFrequency (%)
1174
45.4%
1 268
 
10.4%
2 180
 
7.0%
- 158
 
6.1%
4 110
 
4.3%
5 104
 
4.0%
3 100
 
3.9%
6 89
 
3.4%
8 88
 
3.4%
7 83
 
3.2%
Other values (5) 230
 
8.9%
Latin
ValueCountFrequency (%)
C 2
40.0%
G 1
20.0%
S 1
20.0%
K 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3345
56.4%
ASCII 2589
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1174
45.3%
1 268
 
10.4%
2 180
 
7.0%
- 158
 
6.1%
4 110
 
4.2%
5 104
 
4.0%
3 100
 
3.9%
6 89
 
3.4%
8 88
 
3.4%
7 83
 
3.2%
Other values (9) 235
 
9.1%
Hangul
ValueCountFrequency (%)
410
 
12.3%
375
 
11.2%
339
 
10.1%
333
 
10.0%
332
 
9.9%
177
 
5.3%
144
 
4.3%
77
 
2.3%
51
 
1.5%
48
 
1.4%
Other values (177) 1059
31.7%

설치년도
Date

MISSING 

Distinct21
Distinct (%)6.4%
Missing23
Missing (%)6.6%
Memory size2.9 KiB
Minimum2003-10-01 00:00:00
Maximum2022-11-01 00:00:00
2023-12-11T09:15:16.632682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:16.733757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)

데이터기준일
Date

CONSTANT  MISSING 

Distinct1
Distinct (%)0.3%
Missing23
Missing (%)6.6%
Memory size2.9 KiB
Minimum2022-12-14 00:00:00
Maximum2022-12-14 00:00:00
2023-12-11T09:15:16.840991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:15:16.939882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Unnamed: 11
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing351
Missing (%)100.0%
Memory size3.2 KiB

Unnamed: 12
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing351
Missing (%)100.0%
Memory size3.2 KiB

Unnamed: 13
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing351
Missing (%)100.0%
Memory size3.2 KiB

Unnamed: 14
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing351
Missing (%)100.0%
Memory size3.2 KiB

Unnamed: 15
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing351
Missing (%)100.0%
Memory size3.2 KiB

Unnamed: 16
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing351
Missing (%)100.0%
Memory size3.2 KiB

Unnamed: 17
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing351
Missing (%)100.0%
Memory size3.2 KiB

Unnamed: 18
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing351
Missing (%)100.0%
Memory size3.2 KiB

Unnamed: 19
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing351
Missing (%)100.0%
Memory size3.2 KiB

Unnamed: 20
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing351
Missing (%)100.0%
Memory size3.2 KiB

Sample

순번정류장 아이디지점명방향지역모델타입버스정보안내기 설치방향주소설치년도데이터기준일Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20
01381247005경상국립대가좌정문진주성가좌동<NA>4단10열 S정방향경남 진주시 진주대로 5182022-012022-12-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12381247008경상국립대가좌후문진주성가좌동<NA>4단10열 S정방향경남 진주시 진주대로 5482022-012022-12-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
23381247009개양오거리진주성가좌동CNR-L500LCD 단면형정방향경남 진주시 진주대로 5722014-122022-12-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
34381236004선학사거리/제일여고공단광장하대동CNR-L500LCD 단면형정방향경남 진주시 대신로 3572014-122022-12-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45381247013가좌주공아파트진주성가좌동CNR-L500LCD 단면형정방향경남 진주시 가좌동 652-152014-122022-12-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
56381235011공단광장KT동진주지점상대동CNR-L500LCD 단면형정방향경남 진주시 동진로 2202014-122022-12-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
67381235012공단광장상대한보아파트상대동CNR-L500LCD 단면형정방향경남 진주시 동진로 231-12014-122022-12-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
78381235010상대한보아파트자유시장상대동CNR-L500LCD 단면형정방향경남 진주시 동진로 209-22014-122022-12-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89381235007자유시장진주시청상대동CNR-L500LCD 단면형정방향경남 진주시 동진로 1772014-122022-12-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
910381235008자유시장공단광장상대동CNR-L500스마트정류장역방향경남 진주시 동진로 184-12022-012022-12-14<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
순번정류장 아이디지점명방향지역모델타입버스정보안내기 설치방향주소설치년도데이터기준일Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18Unnamed: 19Unnamed: 20
341<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
342<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
343<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
344<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
345<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
346<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
347<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
348<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
349<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
350<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

순번정류장 아이디지점명방향지역모델타입버스정보안내기 설치방향주소설치년도데이터기준일# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>23