Overview

Dataset statistics

Number of variables7
Number of observations1206
Missing cells17
Missing cells (%)0.2%
Duplicate rows2
Duplicate rows (%)0.2%
Total size in memory68.4 KiB
Average record size in memory58.1 B

Variable types

Text4
Numeric2
Categorical1

Dataset

Description광주광역시 버스도착안내단말기 설치 현황 정보입니다. (제공데이터 : 정류소번호, 정류소 명칭, 다음정류소, 설치장소, 경유노선, BIT 형태, 준공(예정) 등)
URLhttps://www.data.go.kr/data/15055905/fileData.do

Alerts

Dataset has 2 (0.2%) duplicate rowsDuplicates
준공(예정) is highly overall correlated with 형태 현재 High correlation
형태 현재 is highly overall correlated with 준공(예정)High correlation
다음정류소 has 17 (1.4%) missing valuesMissing
경유노선 has 17 (1.4%) zerosZeros

Reproduction

Analysis started2023-12-12 01:24:43.194991
Analysis finished2023-12-12 01:24:44.381235
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

음성안내번호
Text

Distinct1202
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-12-12T10:24:44.861820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length4.0829187
Min length4

Characters and Unicode

Total characters4924
Distinct characters44
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1200 ?
Unique (%)99.5%

Sample

1st row1002
2nd row1003
3rd row1004
4th row1005
5th row1006
ValueCountFrequency (%)
2002 3
 
0.2%
2001 3
 
0.2%
4177 1
 
0.1%
4508 1
 
0.1%
4520 1
 
0.1%
4526 1
 
0.1%
4525 1
 
0.1%
4523 1
 
0.1%
4522 1
 
0.1%
4521 1
 
0.1%
Other values (1192) 1192
98.8%
2023-12-12T10:24:45.531150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 718
14.6%
4 705
14.3%
1 659
13.4%
5 659
13.4%
3 537
10.9%
0 484
9.8%
6 290
5.9%
7 274
 
5.6%
8 244
 
5.0%
9 204
 
4.1%
Other values (34) 150
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4774
97.0%
Other Letter 149
 
3.0%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 19
12.8%
오 17
11.4%
크 17
11.4%
키 17
11.4%
역 12
 
8.1%
남 7
 
4.7%
광 5
 
3.4%
주 5
 
3.4%
가 4
 
2.7%
로 4
 
2.7%
Other values (23) 42
28.2%
Decimal Number
ValueCountFrequency (%)
2 718
15.0%
4 705
14.8%
1 659
13.8%
5 659
13.8%
3 537
11.2%
0 484
10.1%
6 290
6.1%
7 274
 
5.7%
8 244
 
5.1%
9 204
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4775
97.0%
Hangul 149
 
3.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 19
12.8%
오 17
11.4%
크 17
11.4%
키 17
11.4%
역 12
 
8.1%
남 7
 
4.7%
광 5
 
3.4%
주 5
 
3.4%
가 4
 
2.7%
로 4
 
2.7%
Other values (23) 42
28.2%
Common
ValueCountFrequency (%)
2 718
15.0%
4 705
14.8%
1 659
13.8%
5 659
13.8%
3 537
11.2%
0 484
10.1%
6 290
6.1%
7 274
 
5.7%
8 244
 
5.1%
9 204
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4775
97.0%
Hangul 149
 
3.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 718
15.0%
4 705
14.8%
1 659
13.8%
5 659
13.8%
3 537
11.2%
0 484
10.1%
6 290
6.1%
7 274
 
5.7%
8 244
 
5.1%
9 204
 
4.3%
Hangul
ValueCountFrequency (%)
스 19
12.8%
오 17
11.4%
크 17
11.4%
키 17
11.4%
역 12
 
8.1%
남 7
 
4.7%
광 5
 
3.4%
주 5
 
3.4%
가 4
 
2.7%
로 4
 
2.7%
Other values (23) 42
28.2%

정류소 명칭
Text

Distinct728
Distinct (%)60.4%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-12-12T10:24:45.863438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length5.880597
Min length2

Characters and Unicode

Total characters7092
Distinct characters341
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique259 ?
Unique (%)21.5%

Sample

1st row계림사거리
2nd row광주고/4·19역사관
3rd row광주고/4·19역사관
4th row4.19기념관
5th row4.19기념관
ValueCountFrequency (%)
광주종합버스터미널 8
 
0.7%
수완중흥s-클래스 4
 
0.3%
광주송정역 3
 
0.2%
첨단초교 3
 
0.2%
문화전당역 3
 
0.2%
서창농협 3
 
0.2%
월곡시장 2
 
0.2%
어등초교 2
 
0.2%
영천초교 2
 
0.2%
연제현대아파트 2
 
0.2%
Other values (721) 1183
97.4%
2023-12-12T10:24:46.471526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 211
 
3.0%
동 175
 
2.5%
파 174
 
2.5%
트 165
 
2.3%
교 161
 
2.3%
광 148
 
2.1%
구 143
 
2.0%
주 142
 
2.0%
대 133
 
1.9%
지 128
 
1.8%
Other values (331) 5512
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6657
93.9%
Decimal Number 147
 
2.1%
Close Punctuation 102
 
1.4%
Open Punctuation 102
 
1.4%
Uppercase Letter 39
 
0.5%
Other Punctuation 32
 
0.5%
Space Separator 9
 
0.1%
Dash Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 211
 
3.2%
동 175
 
2.6%
파 174
 
2.6%
트 165
 
2.5%
교 161
 
2.4%
광 148
 
2.2%
구 143
 
2.1%
주 142
 
2.1%
대 133
 
2.0%
지 128
 
1.9%
Other values (303) 5077
76.3%
Uppercase Letter
ValueCountFrequency (%)
S 10
25.6%
C 8
20.5%
I 4
 
10.3%
K 4
 
10.3%
T 3
 
7.7%
E 2
 
5.1%
G 2
 
5.1%
B 2
 
5.1%
R 1
 
2.6%
M 1
 
2.6%
Other values (2) 2
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 46
31.3%
2 35
23.8%
5 15
 
10.2%
3 15
 
10.2%
4 14
 
9.5%
8 11
 
7.5%
9 7
 
4.8%
6 4
 
2.7%
Other Punctuation
ValueCountFrequency (%)
. 21
65.6%
/ 6
 
18.8%
· 3
 
9.4%
& 2
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6657
93.9%
Common 396
 
5.6%
Latin 39
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 211
 
3.2%
동 175
 
2.6%
파 174
 
2.6%
트 165
 
2.5%
교 161
 
2.4%
광 148
 
2.2%
구 143
 
2.1%
주 142
 
2.1%
대 133
 
2.0%
지 128
 
1.9%
Other values (303) 5077
76.3%
Common
ValueCountFrequency (%)
) 102
25.8%
( 102
25.8%
1 46
11.6%
2 35
 
8.8%
. 21
 
5.3%
5 15
 
3.8%
3 15
 
3.8%
4 14
 
3.5%
8 11
 
2.8%
9
 
2.3%
Other values (6) 26
 
6.6%
Latin
ValueCountFrequency (%)
S 10
25.6%
C 8
20.5%
I 4
 
10.3%
K 4
 
10.3%
T 3
 
7.7%
E 2
 
5.1%
G 2
 
5.1%
B 2
 
5.1%
R 1
 
2.6%
M 1
 
2.6%
Other values (2) 2
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6657
93.9%
ASCII 432
 
6.1%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 211
 
3.2%
동 175
 
2.6%
파 174
 
2.6%
트 165
 
2.5%
교 161
 
2.4%
광 148
 
2.2%
구 143
 
2.1%
주 142
 
2.1%
대 133
 
2.0%
지 128
 
1.9%
Other values (303) 5077
76.3%
ASCII
ValueCountFrequency (%)
) 102
23.6%
( 102
23.6%
1 46
10.6%
2 35
 
8.1%
. 21
 
4.9%
5 15
 
3.5%
3 15
 
3.5%
4 14
 
3.2%
8 11
 
2.5%
S 10
 
2.3%
Other values (17) 61
14.1%
None
ValueCountFrequency (%)
· 3
100.0%

다음정류소
Text

MISSING 

Distinct696
Distinct (%)58.5%
Missing17
Missing (%)1.4%
Memory size9.6 KiB
2023-12-12T10:24:47.169978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length5.627418
Min length2

Characters and Unicode

Total characters6691
Distinct characters324
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

Unique343 ?
Unique (%)28.8%

Sample

1st row광주고
2nd row대인시장(동)
3rd row계림사거리
4th row광주고
5th row순복음교회
ValueCountFrequency (%)
신안사거리 6
 
0.5%
광천터미널 5
 
0.4%
수완중흥s-클래스 5
 
0.4%
경신여고 5
 
0.4%
봉선대화아파트 5
 
0.4%
현대자동차 5
 
0.4%
조각배어린이공원 4
 
0.3%
보훈병원후문 4
 
0.3%
월곡시장 4
 
0.3%
수완현진에버빌1차 4
 
0.3%
Other values (690) 1154
96.1%
2023-12-12T10:24:47.672526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 189
 
2.8%
동 187
 
2.8%
파 164
 
2.5%
교 150
 
2.2%
트 145
 
2.2%
구 135
 
2.0%
광 135
 
2.0%
대 135
 
2.0%
지 130
 
1.9%
주 120
 
1.8%
Other values (314) 5201
77.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6313
94.4%
Decimal Number 120
 
1.8%
Close Punctuation 101
 
1.5%
Open Punctuation 101
 
1.5%
Uppercase Letter 25
 
0.4%
Other Punctuation 14
 
0.2%
Space Separator 12
 
0.2%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 189
 
3.0%
동 187
 
3.0%
파 164
 
2.6%
교 150
 
2.4%
트 145
 
2.3%
구 135
 
2.1%
광 135
 
2.1%
대 135
 
2.1%
지 130
 
2.1%
주 120
 
1.9%
Other values (291) 4823
76.4%
Decimal Number
ValueCountFrequency (%)
1 41
34.2%
2 32
26.7%
3 18
15.0%
5 10
 
8.3%
4 7
 
5.8%
8 6
 
5.0%
6 4
 
3.3%
9 2
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
S 7
28.0%
C 5
20.0%
K 3
12.0%
B 3
12.0%
I 2
 
8.0%
T 2
 
8.0%
G 2
 
8.0%
E 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
/ 7
50.0%
. 5
35.7%
& 2
 
14.3%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6313
94.4%
Common 353
 
5.3%
Latin 25
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 189
 
3.0%
동 187
 
3.0%
파 164
 
2.6%
교 150
 
2.4%
트 145
 
2.3%
구 135
 
2.1%
광 135
 
2.1%
대 135
 
2.1%
지 130
 
2.1%
주 120
 
1.9%
Other values (291) 4823
76.4%
Common
ValueCountFrequency (%)
) 101
28.6%
( 101
28.6%
1 41
11.6%
2 32
 
9.1%
3 18
 
5.1%
12
 
3.4%
5 10
 
2.8%
/ 7
 
2.0%
4 7
 
2.0%
8 6
 
1.7%
Other values (5) 18
 
5.1%
Latin
ValueCountFrequency (%)
S 7
28.0%
C 5
20.0%
K 3
12.0%
B 3
12.0%
I 2
 
8.0%
T 2
 
8.0%
G 2
 
8.0%
E 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6313
94.4%
ASCII 378
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 189
 
3.0%
동 187
 
3.0%
파 164
 
2.6%
교 150
 
2.4%
트 145
 
2.3%
구 135
 
2.1%
광 135
 
2.1%
대 135
 
2.1%
지 130
 
2.1%
주 120
 
1.9%
Other values (291) 4823
76.4%
ASCII
ValueCountFrequency (%)
) 101
26.7%
( 101
26.7%
1 41
10.8%
2 32
 
8.5%
3 18
 
4.8%
12
 
3.2%
5 10
 
2.6%
S 7
 
1.9%
/ 7
 
1.9%
4 7
 
1.9%
Other values (13) 42
11.1%

설치장소
Text

Distinct113
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2023-12-12T10:24:47.985882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length6.8134328
Min length3

Characters and Unicode

Total characters8217
Distinct characters102
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.7%

Sample

1st row동구 계림1동
2nd row동구 계림1동
3rd row동구 계림1동
4th row동구 계림1동
5th row동구 계림1동
ValueCountFrequency (%)
북구 332
 
13.9%
광산구 317
 
13.2%
서구 241
 
10.1%
남구 175
 
7.3%
동구 124
 
5.2%
건국동 58
 
2.4%
하남동 37
 
1.5%
첨단2동 35
 
1.5%
효덕동 34
 
1.4%
어룡동 32
 
1.3%
Other values (107) 1010
42.2%
2023-12-12T10:24:48.448475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 1334
16.2%
구 1220
14.8%
1189
14.5%
산 420
 
5.1%
광 333
 
4.1%
북 332
 
4.0%
서 270
 
3.3%
남 247
 
3.0%
2 240
 
2.9%
1 189
 
2.3%
Other values (92) 2443
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6452
78.5%
Space Separator 1189
 
14.5%
Decimal Number 489
 
6.0%
Close Punctuation 43
 
0.5%
Open Punctuation 43
 
0.5%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1334
20.7%
구 1220
18.9%
산 420
 
6.5%
광 333
 
5.2%
북 332
 
5.1%
서 270
 
4.2%
남 247
 
3.8%
암 116
 
1.8%
수 74
 
1.1%
정 73
 
1.1%
Other values (83) 2033
31.5%
Decimal Number
ValueCountFrequency (%)
2 240
49.1%
1 189
38.7%
3 38
 
7.8%
4 11
 
2.2%
5 11
 
2.2%
Space Separator
ValueCountFrequency (%)
1189
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6452
78.5%
Common 1765
 
21.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1334
20.7%
구 1220
18.9%
산 420
 
6.5%
광 333
 
5.2%
북 332
 
5.1%
서 270
 
4.2%
남 247
 
3.8%
암 116
 
1.8%
수 74
 
1.1%
정 73
 
1.1%
Other values (83) 2033
31.5%
Common
ValueCountFrequency (%)
1189
67.4%
2 240
 
13.6%
1 189
 
10.7%
) 43
 
2.4%
( 43
 
2.4%
3 38
 
2.2%
4 11
 
0.6%
5 11
 
0.6%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6452
78.5%
ASCII 1765
 
21.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 1334
20.7%
구 1220
18.9%
산 420
 
6.5%
광 333
 
5.2%
북 332
 
5.1%
서 270
 
4.2%
남 247
 
3.8%
암 116
 
1.8%
수 74
 
1.1%
정 73
 
1.1%
Other values (83) 2033
31.5%
ASCII
ValueCountFrequency (%)
1189
67.4%
2 240
 
13.6%
1 189
 
10.7%
) 43
 
2.4%
( 43
 
2.4%
3 38
 
2.2%
4 11
 
0.6%
5 11
 
0.6%
. 1
 
0.1%

경유노선
Real number (ℝ)

ZEROS 

Distinct24
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1227197
Minimum0
Maximum29
Zeros17
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2023-12-12T10:24:48.616496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q38
95-th percentile13
Maximum29
Range29
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.9216219
Coefficient of variation (CV)0.64050325
Kurtosis5.1311649
Mean6.1227197
Median Absolute Deviation (MAD)2
Skewness1.652046
Sum7384
Variance15.379118
MonotonicityNot monotonic
2023-12-12T10:24:48.778978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3 166
13.8%
5 155
12.9%
6 145
12.0%
4 140
11.6%
7 112
9.3%
2 108
9.0%
9 68
5.6%
8 65
 
5.4%
11 48
 
4.0%
12 39
 
3.2%
Other values (14) 160
13.3%
ValueCountFrequency (%)
0 17
 
1.4%
1 37
 
3.1%
2 108
9.0%
3 166
13.8%
4 140
11.6%
5 155
12.9%
6 145
12.0%
7 112
9.3%
8 65
 
5.4%
9 68
5.6%
ValueCountFrequency (%)
29 3
 
0.2%
28 3
 
0.2%
21 1
 
0.1%
20 1
 
0.1%
19 4
 
0.3%
18 2
 
0.2%
17 11
0.9%
16 11
0.9%
15 5
0.4%
14 11
0.9%

형태 현재
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
4단12열
259 
3단12열
235 
4단8열 단면
175 
6단8열 32
110 
6단8열 46
108 
Other values (14)
319 

Length

Max length12
Median length10
Mean length6.8822554
Min length5

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row3단12열 풀칼라
2nd row3단12열
3rd row3단12열
4th row3단12열
5th row3단12열

Common Values

ValueCountFrequency (%)
4단12열 259
21.5%
3단12열 235
19.5%
4단8열 단면 175
14.5%
6단8열 32 110
9.1%
6단8열 46 108
9.0%
3단12열 풀칼라 84
 
7.0%
4단12열 소형 67
 
5.6%
4단 12열 49
 
4.1%
6단8열 단면 32
 
2.7%
4단 8열 24
 
2.0%
Other values (9) 63
 
5.2%

Length

2023-12-12T10:24:48.946300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4단12열 332
17.2%
3단12열 319
16.6%
6단8열 271
14.1%
단면 207
10.8%
4단8열 179
9.3%
46 113
 
5.9%
32 110
 
5.7%
풀칼라 84
 
4.4%
4단 73
 
3.8%
소형 67
 
3.5%
Other values (11) 170
8.8%

준공(예정)
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.7139
Minimum2007
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.7 KiB
2023-12-12T10:24:49.076456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2014
Q12017
median2019
Q32020
95-th percentile2022
Maximum2023
Range16
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.486529
Coefficient of variation (CV)0.0012317392
Kurtosis0.12265152
Mean2018.7139
Median Absolute Deviation (MAD)1
Skewness-0.74263774
Sum2434569
Variance6.1828265
MonotonicityNot monotonic
2023-12-12T10:24:49.220506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2020 317
26.3%
2019 218
18.1%
2022 144
11.9%
2014 140
11.6%
2016 133
11.0%
2018 119
 
9.9%
2021 91
 
7.5%
2017 21
 
1.7%
2023 12
 
1.0%
2015 8
 
0.7%
Other values (2) 3
 
0.2%
ValueCountFrequency (%)
2007 2
 
0.2%
2011 1
 
0.1%
2014 140
11.6%
2015 8
 
0.7%
2016 133
11.0%
2017 21
 
1.7%
2018 119
 
9.9%
2019 218
18.1%
2020 317
26.3%
2021 91
 
7.5%
ValueCountFrequency (%)
2023 12
 
1.0%
2022 144
11.9%
2021 91
 
7.5%
2020 317
26.3%
2019 218
18.1%
2018 119
 
9.9%
2017 21
 
1.7%
2016 133
11.0%
2015 8
 
0.7%
2014 140
11.6%

Interactions

2023-12-12T10:24:43.920921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:24:43.701022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:24:44.029449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T10:24:43.793036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T10:24:49.336884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경유노선형태 현재준공(예정)
경유노선1.0000.6760.308
형태 현재0.6761.0000.873
준공(예정)0.3080.8731.000
2023-12-12T10:24:49.441076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
경유노선준공(예정)형태 현재
경유노선1.000-0.3260.341
준공(예정)-0.3261.0000.584
형태 현재0.3410.5841.000

Missing values

2023-12-12T10:24:44.164624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:24:44.325224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

음성안내번호정류소 명칭다음정류소설치장소경유노선형태 현재준공(예정)
01002계림사거리광주고동구 계림1동43단12열 풀칼라2016
11003광주고/4·19역사관대인시장(동)동구 계림1동103단12열2014
21004광주고/4·19역사관계림사거리동구 계림1동103단12열2014
310054.19기념관광주고동구 계림1동73단12열2014
410064.19기념관순복음교회동구 계림1동73단12열2016
51007대인시장(동)전남여고동구 계림1동126단8열 462019
61008대인시장(동)광주고동구 계림1동126단8열 462019
71009서방사거리육교계림사거리동구 계림1동43단12열2016
81010서방사거리육교서방시장(남)동구 계림1동94단8열 단면2019
91011계림초교후문동진맨션동구 계림2동14단12열2022
음성안내번호정류소 명칭다음정류소설치장소경유노선형태 현재준공(예정)
1196상무역키오스크1상무역(안)<NA>상무역(안)0기타 TV형 키오스크2020
1197상무역키오스크2상무역(안)<NA>상무역(안)0기타 TV형 키오스크2020
1198광주종합버스터미널키오스크1광주종합버스터미널<NA>광주종합버스터미널0기타 TV형 키오스크2021
1199광주종합버스터미널키오스크2광주종합버스터미널<NA>광주종합버스터미널0기타 TV형 키오스크2021
1200농성역키오스크1농성역<NA>농성역0기타 TV형 키오스크2021
1201농성역키오스크2농성역<NA>농성역0기타 TV형 키오스크2021
12022220상무병원5.18기념공원서구 상무1동34단12열2023
12034130테크노파크산업인력공단북구 건국동2SmartBIT 462023
12044008고내입구월정북구 건국동3SmartBIT 462023
12053258송화마을4단지조각배어린이공원남구 효덕동34단12열2023

Duplicate rows

Most frequently occurring

음성안내번호정류소 명칭다음정류소설치장소경유노선형태 현재준공(예정)# duplicates
02001광주종합버스터미널기아차중문서구 광천동286단12열20193
12002광주종합버스터미널현대자동차서구 광천동293단12열20143