Overview

Dataset statistics

Number of variables13
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory113.4 B

Variable types

DateTime2
Categorical6
Text4
Numeric1

Dataset

Description샘플 데이터
Author펌프킨
URLhttps://bigdata-region.kr/#/dataset/6e79956b-22af-4ff4-a11f-51785a7d6142

Alerts

운행_일자 has constant value ""Constant
이용량 has constant value ""Constant
혼잡도 has constant value ""Constant
탑승_인원 has constant value ""Constant
비고 is highly overall correlated with 시간대High correlation
시간대 is highly overall correlated with 비고High correlation
정류장_ID has unique valuesUnique
정류장_번호 has 2 (6.7%) zerosZeros

Reproduction

Analysis started2024-03-13 11:50:21.840816
Analysis finished2024-03-13 11:50:23.046079
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

운행_일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2023-10-01 00:00:00
Maximum2023-10-01 00:00:00
2024-03-13T20:50:23.093060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:50:23.194744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

시간대
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
19 
4
11 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row4

Common Values

ValueCountFrequency (%)
3 19
63.3%
4 11
36.7%

Length

2024-03-13T20:50:23.323272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:50:23.417108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 19
63.3%
4 11
36.7%

이용자_유형
Categorical

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
경로
10 
일반인
10 
어린이
7 
국가유공자
2 
장애인
 
1

Length

Max length5
Median length3
Mean length2.8
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
경로 10
33.3%
일반인 10
33.3%
어린이 7
23.3%
국가유공자 2
 
6.7%
장애인 1
 
3.3%

Length

2024-03-13T20:50:23.534626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:50:23.697648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로 10
33.3%
일반인 10
33.3%
어린이 7
23.3%
국가유공자 2
 
6.7%
장애인 1
 
3.3%

노선_ID
Text

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-13T20:50:23.919656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.233333
Min length7

Characters and Unicode

Total characters337
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)26.7%

Sample

1st row5200041000
2nd rowSOB100100344
3rd row5200041000
4th row5200041000
5th rowSOB100100447
ValueCountFrequency (%)
5200041000 5
16.7%
sob100100447 4
13.3%
sob100100344 3
10.0%
5200188000 3
10.0%
icb165000310 3
10.0%
sob100100587 2
 
6.7%
sob100100349 2
 
6.7%
sob100100339 1
 
3.3%
sob100100450 1
 
3.3%
sob100100034 1
 
3.3%
Other values (5) 5
16.7%
2024-03-13T20:50:24.464472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 134
39.8%
1 51
 
15.1%
4 23
 
6.8%
B 21
 
6.2%
S 17
 
5.0%
O 17
 
5.0%
5 15
 
4.5%
3 14
 
4.2%
2 11
 
3.3%
8 10
 
3.0%
Other values (7) 24
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 274
81.3%
Uppercase Letter 63
 
18.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 134
48.9%
1 51
 
18.6%
4 23
 
8.4%
5 15
 
5.5%
3 14
 
5.1%
2 11
 
4.0%
8 10
 
3.6%
7 8
 
2.9%
6 5
 
1.8%
9 3
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
B 21
33.3%
S 17
27.0%
O 17
27.0%
I 3
 
4.8%
C 3
 
4.8%
G 1
 
1.6%
J 1
 
1.6%

Most occurring scripts

ValueCountFrequency (%)
Common 274
81.3%
Latin 63
 
18.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 134
48.9%
1 51
 
18.6%
4 23
 
8.4%
5 15
 
5.5%
3 14
 
5.1%
2 11
 
4.0%
8 10
 
3.6%
7 8
 
2.9%
6 5
 
1.8%
9 3
 
1.1%
Latin
ValueCountFrequency (%)
B 21
33.3%
S 17
27.0%
O 17
27.0%
I 3
 
4.8%
C 3
 
4.8%
G 1
 
1.6%
J 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 337
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 134
39.8%
1 51
 
15.1%
4 23
 
6.8%
B 21
 
6.2%
S 17
 
5.0%
O 17
 
5.0%
5 15
 
4.5%
3 14
 
4.2%
2 11
 
3.3%
8 10
 
3.0%
Other values (7) 24
 
7.1%

노선_번호
Text

Distinct15
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-13T20:50:24.688147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.2333333
Min length2

Characters and Unicode

Total characters97
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)26.7%

Sample

1st row41
2nd row7211
3rd row41
4th row41
5th row7016
ValueCountFrequency (%)
41 5
16.7%
7016 4
13.3%
7211 3
10.0%
188 3
10.0%
3-2 3
10.0%
705 2
 
6.7%
7713 2
 
6.7%
7019 1
 
3.3%
7011 1
 
3.3%
162 1
 
3.3%
Other values (5) 5
16.7%
2024-03-13T20:50:25.096606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 29
29.9%
7 17
17.5%
2 9
 
9.3%
0 8
 
8.2%
6 8
 
8.2%
8 7
 
7.2%
3 6
 
6.2%
4 5
 
5.2%
5 4
 
4.1%
- 3
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 94
96.9%
Dash Punctuation 3
 
3.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 29
30.9%
7 17
18.1%
2 9
 
9.6%
0 8
 
8.5%
6 8
 
8.5%
8 7
 
7.4%
3 6
 
6.4%
4 5
 
5.3%
5 4
 
4.3%
9 1
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 97
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 29
29.9%
7 17
17.5%
2 9
 
9.3%
0 8
 
8.2%
6 8
 
8.2%
8 7
 
7.2%
3 6
 
6.2%
4 5
 
5.2%
5 4
 
4.1%
- 3
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 97
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 29
29.9%
7 17
17.5%
2 9
 
9.3%
0 8
 
8.2%
6 8
 
8.2%
8 7
 
7.2%
3 6
 
6.2%
4 5
 
5.2%
5 4
 
4.1%
- 3
 
3.1%

정류장_번호
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.433333
Minimum0
Maximum108
Zeros2
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-03-13T20:50:25.280033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.8
Q111.25
median22
Q362.25
95-th percentile102.75
Maximum108
Range108
Interquartile range (IQR)51

Descriptive statistics

Standard deviation34.064526
Coefficient of variation (CV)0.91000516
Kurtosis-0.45903178
Mean37.433333
Median Absolute Deviation (MAD)17
Skewness0.89852021
Sum1123
Variance1160.392
MonotonicityNot monotonic
2024-03-13T20:50:25.454353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
10 3
 
10.0%
0 2
 
6.7%
16 2
 
6.7%
5 2
 
6.7%
21 2
 
6.7%
23 2
 
6.7%
73 2
 
6.7%
100 2
 
6.7%
15 1
 
3.3%
68 1
 
3.3%
Other values (11) 11
36.7%
ValueCountFrequency (%)
0 2
6.7%
4 1
 
3.3%
5 2
6.7%
10 3
10.0%
15 1
 
3.3%
16 2
6.7%
17 1
 
3.3%
18 1
 
3.3%
21 2
6.7%
23 2
6.7%
ValueCountFrequency (%)
108 1
3.3%
105 1
3.3%
100 2
6.7%
73 2
6.7%
68 1
3.3%
65 1
3.3%
54 1
3.3%
50 1
3.3%
46 1
3.3%
39 1
3.3%

정류장_ID
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-13T20:50:25.733162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters360
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st rowBSB199620301
2nd rowSEB111000342
3rd rowBSB213100203
4th rowBSB199660201
5th rowSOB113000133
ValueCountFrequency (%)
bsb199620301 1
 
3.3%
seb111000342 1
 
3.3%
sob107000034 1
 
3.3%
sob113900301 1
 
3.3%
seb107000230 1
 
3.3%
icb163000116 1
 
3.3%
cwb379000276 1
 
3.3%
bsb215080201 1
 
3.3%
bsb201090301 1
 
3.3%
sob111000933 1
 
3.3%
Other values (20) 20
66.7%
2024-03-13T20:50:26.253825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 100
27.8%
1 67
18.6%
B 39
 
10.8%
3 26
 
7.2%
S 26
 
7.2%
2 21
 
5.8%
9 16
 
4.4%
7 13
 
3.6%
O 11
 
3.1%
5 9
 
2.5%
Other values (7) 32
 
8.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 270
75.0%
Uppercase Letter 90
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 100
37.0%
1 67
24.8%
3 26
 
9.6%
2 21
 
7.8%
9 16
 
5.9%
7 13
 
4.8%
5 9
 
3.3%
6 9
 
3.3%
8 5
 
1.9%
4 4
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
B 39
43.3%
S 26
28.9%
O 11
 
12.2%
E 6
 
6.7%
C 4
 
4.4%
I 3
 
3.3%
W 1
 
1.1%

Most occurring scripts

ValueCountFrequency (%)
Common 270
75.0%
Latin 90
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 100
37.0%
1 67
24.8%
3 26
 
9.6%
2 21
 
7.8%
9 16
 
5.9%
7 13
 
4.8%
5 9
 
3.3%
6 9
 
3.3%
8 5
 
1.9%
4 4
 
1.5%
Latin
ValueCountFrequency (%)
B 39
43.3%
S 26
28.9%
O 11
 
12.2%
E 6
 
6.7%
C 4
 
4.4%
I 3
 
3.3%
W 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 360
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 100
27.8%
1 67
18.6%
B 39
 
10.8%
3 26
 
7.2%
S 26
 
7.2%
2 21
 
5.8%
9 16
 
4.4%
7 13
 
3.6%
O 11
 
3.1%
5 9
 
2.5%
Other values (7) 32
 
8.9%

정류장_명
Text

Distinct26
Distinct (%)86.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-03-13T20:50:26.495104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length7.1333333
Min length3

Characters and Unicode

Total characters214
Distinct characters101
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)73.3%

Sample

1st row민락동차고지
2nd row하나고.삼천사.진관사입구
3rd row롯데캐슬아파트
4th row민락동차고지
5th row홍대입구역
ValueCountFrequency (%)
민락동차고지 2
 
6.7%
모전초등학교 2
 
6.7%
롯데캐슬아파트 2
 
6.7%
홍대입구역 2
 
6.7%
돈암2동주민센터입구.흥천사 1
 
3.3%
계룡리슈빌 1
 
3.3%
길음역 1
 
3.3%
보문역 1
 
3.3%
삼영아파트 1
 
3.3%
지개리입구 1
 
3.3%
Other values (16) 16
53.3%
2024-03-13T20:50:26.894077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
파 8
 
3.7%
구 8
 
3.7%
아 8
 
3.7%
트 7
 
3.3%
역 7
 
3.3%
. 7
 
3.3%
입 6
 
2.8%
신 6
 
2.8%
동 5
 
2.3%
서 5
 
2.3%
Other values (91) 147
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 199
93.0%
Other Punctuation 7
 
3.3%
Uppercase Letter 6
 
2.8%
Decimal Number 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 8
 
4.0%
구 8
 
4.0%
아 8
 
4.0%
트 7
 
3.5%
역 7
 
3.5%
입 6
 
3.0%
신 6
 
3.0%
동 5
 
2.5%
서 5
 
2.5%
지 5
 
2.5%
Other values (84) 134
67.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
M 2
33.3%
B 1
16.7%
D 1
16.7%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
2 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 199
93.0%
Common 9
 
4.2%
Latin 6
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 8
 
4.0%
구 8
 
4.0%
아 8
 
4.0%
트 7
 
3.5%
역 7
 
3.5%
입 6
 
3.0%
신 6
 
3.0%
동 5
 
2.5%
서 5
 
2.5%
지 5
 
2.5%
Other values (84) 134
67.3%
Latin
ValueCountFrequency (%)
C 2
33.3%
M 2
33.3%
B 1
16.7%
D 1
16.7%
Common
ValueCountFrequency (%)
. 7
77.8%
3 1
 
11.1%
2 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 199
93.0%
ASCII 15
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
파 8
 
4.0%
구 8
 
4.0%
아 8
 
4.0%
트 7
 
3.5%
역 7
 
3.5%
입 6
 
3.0%
신 6
 
3.0%
동 5
 
2.5%
서 5
 
2.5%
지 5
 
2.5%
Other values (84) 134
67.3%
ASCII
ValueCountFrequency (%)
. 7
46.7%
C 2
 
13.3%
M 2
 
13.3%
3 1
 
6.7%
B 1
 
6.7%
2 1
 
6.7%
D 1
 
6.7%

이용량
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2024-03-13T20:50:27.057734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:50:27.188719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

혼잡도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2024-03-13T20:50:27.313425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:50:27.417323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

탑승_인원
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2024-03-13T20:50:27.547890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:50:27.682458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

비고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2024-01-17 전기버스 노선 운영지표
19 
2024-01-18 전기버스 노선 운영지표
11 

Length

Max length23
Median length23
Mean length23
Min length23

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-17 전기버스 노선 운영지표
2nd row2024-01-17 전기버스 노선 운영지표
3rd row2024-01-17 전기버스 노선 운영지표
4th row2024-01-17 전기버스 노선 운영지표
5th row2024-01-18 전기버스 노선 운영지표

Common Values

ValueCountFrequency (%)
2024-01-17 전기버스 노선 운영지표 19
63.3%
2024-01-18 전기버스 노선 운영지표 11
36.7%

Length

2024-03-13T20:50:27.801190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T20:50:27.933141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전기버스 30
25.0%
노선 30
25.0%
운영지표 30
25.0%
2024-01-17 19
15.8%
2024-01-18 11
 
9.2%

생산_일시
Date

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2024-01-17 18:05:35
Maximum2024-01-18 10:00:21
2024-03-13T20:50:28.017750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T20:50:28.139417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Interactions

2024-03-13T20:50:22.297055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T20:50:28.269001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시간대이용자_유형노선_ID노선_번호정류장_번호정류장_ID정류장_명비고생산_일시
시간대1.0000.0000.0000.0000.0001.0001.0000.9930.993
이용자_유형0.0001.0000.9430.9430.2511.0000.9510.0000.000
노선_ID0.0000.9431.0001.0000.8101.0000.9830.0000.000
노선_번호0.0000.9431.0001.0000.8101.0000.9830.0000.000
정류장_번호0.0000.2510.8100.8101.0001.0000.9700.0000.000
정류장_ID1.0001.0001.0001.0001.0001.0001.0001.0001.000
정류장_명1.0000.9510.9830.9830.9701.0001.0001.0001.000
비고0.9930.0000.0000.0000.0001.0001.0001.0000.993
생산_일시0.9930.0000.0000.0000.0001.0001.0000.9931.000
2024-03-13T20:50:28.452070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고이용자_유형시간대
비고1.0000.0000.926
이용자_유형0.0001.0000.000
시간대0.9260.0001.000
2024-03-13T20:50:28.572021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정류장_번호시간대이용자_유형비고
정류장_번호1.0000.0000.1170.000
시간대0.0001.0000.0000.926
이용자_유형0.1170.0001.0000.000
비고0.0000.9260.0001.000

Missing values

2024-03-13T20:50:22.440827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T20:50:22.979412image/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

운행_일자시간대이용자_유형노선_ID노선_번호정류장_번호정류장_ID정류장_명이용량혼잡도탑승_인원비고생산_일시
02023-10-013경로5200041000410BSB199620301민락동차고지0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
12023-10-013경로SOB1001003447211100SEB111000342하나고.삼천사.진관사입구0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
22023-10-013경로5200041000415BSB213100203롯데캐슬아파트0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
32023-10-013경로5200041000410BSB199660201민락동차고지0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
42023-10-014경로SOB100100447701621SOB113000133홍대입구역0002024-01-18 전기버스 노선 운영지표2024-01-18 10:00:21
52023-10-014어린이520018800018810BSB500590000모전초등학교0002024-01-18 전기버스 노선 운영지표2024-01-18 10:00:21
62023-10-013어린이SOB10010058770523SOB111000938녹번역0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
72023-10-014일반인ICB1650003103-2100ICB167000350신동아아파트0002024-01-18 전기버스 노선 운영지표2024-01-18 10:00:21
82023-10-013일반인SOB100100349771318SOB112000175명지대입구.신원지벤스타0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
92023-10-014장애인SOB100100339701973SEB112000110DMC센트럴아이파크아파트0002024-01-18 전기버스 노선 운영지표2024-01-18 10:00:21
운행_일자시간대이용자_유형노선_ID노선_번호정류장_번호정류장_ID정류장_명이용량혼잡도탑승_인원비고생산_일시
202023-10-013어린이SOB100100447701616SOB113900169성미약수터0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
212023-10-014어린이SOB10010058770521SOB111000933불광역3호선.서울혁신파크0002024-01-18 전기버스 노선 운영지표2024-01-18 10:00:21
222023-10-013일반인52000830008350BSB201090301MBC방송국0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
232023-10-014일반인520018800018810BSB215080201모전초등학교0002024-01-18 전기버스 노선 운영지표2024-01-18 10:00:21
242023-10-013일반인GJB113617108CWB379000276지개리입구0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
252023-10-013일반인ICB1650003103-2105ICB163000116삼영아파트0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
262023-10-013일반인SOB100100170116216SEB107000230보문역0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
272023-10-014일반인SOB100100286571246SOB113900301홍대입구역0002024-01-18 전기버스 노선 운영지표2024-01-18 10:00:21
282023-10-013일반인SOB100100344721168SOB107000034길음역0002024-01-17 전기버스 노선 운영지표2024-01-17 18:05:35
292023-10-014일반인SOB100100349771315SOB112000074서대문구청.서대문구의회0002024-01-18 전기버스 노선 운영지표2024-01-18 10:00:21