Overview

Dataset statistics

Number of variables11
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory93.6 B

Variable types

Numeric2
Text7
Categorical2

Dataset

Description청주시 시내버스 주요승강장 이용인원(2017년 기준)
Author충청북도 청주시
URLhttps://www.data.go.kr/data/15075314/fileData.do

Alerts

시계외 승차 is highly overall correlated with 시계외 하차High correlation
시계외 하차 is highly overall correlated with 시계외 승차High correlation
시계외 승차 is highly imbalanced (75.9%)Imbalance
시계외 하차 is highly imbalanced (85.9%)Imbalance
순위 has unique valuesUnique
정류장ID has unique valuesUnique
총 이용인원 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:10:56.789296
Analysis finished2023-12-11 23:10:58.521717
Duration1.73 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순위
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T08:10:58.601926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2023-12-12T08:10:58.779749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

정류장ID
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4373563.6
Minimum4357571
Maximum4391231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2023-12-12T08:10:59.010671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4357571
5-th percentile4360297
Q14369058.5
median4377036
Q34377903.5
95-th percentile4379007.5
Maximum4391231
Range33660
Interquartile range (IQR)8845

Descriptive statistics

Standard deviation7829.096
Coefficient of variation (CV)0.0017900954
Kurtosis-0.076971209
Mean4373563.6
Median Absolute Deviation (MAD)1925
Skewness-0.44418655
Sum2.1867818 × 108
Variance61294744
MonotonicityNot monotonic
2023-12-12T08:10:59.200802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4374891 1
 
2.0%
4378931 1
 
2.0%
4371220 1
 
2.0%
4363011 1
 
2.0%
4378981 1
 
2.0%
4359631 1
 
2.0%
4376581 1
 
2.0%
4375551 1
 
2.0%
4361961 1
 
2.0%
4376571 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
4357571 1
2.0%
4358401 1
2.0%
4359631 1
2.0%
4361111 1
2.0%
4361121 1
2.0%
4361821 1
2.0%
4361961 1
2.0%
4361991 1
2.0%
4363011 1
2.0%
4363381 1
2.0%
ValueCountFrequency (%)
4391231 1
2.0%
4391121 1
2.0%
4379021 1
2.0%
4378991 1
2.0%
4378981 1
2.0%
4378941 1
2.0%
4378931 1
2.0%
4378861 1
2.0%
4378801 1
2.0%
4377961 1
2.0%

정류장명
Text

Distinct35
Distinct (%)70.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T08:10:59.469200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.04
Min length2

Characters and Unicode

Total characters252
Distinct characters89
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

Unique21 ?
Unique (%)42.0%

Sample

1st row시외버스터미널
2nd row지하상가
3rd row도청
4th row서운동
5th row도청
ValueCountFrequency (%)
육거리 3
 
6.0%
문화산업단지 2
 
4.0%
청주대교 2
 
4.0%
시청 2
 
4.0%
신한은행 2
 
4.0%
지하상가 2
 
4.0%
청주고등학교 2
 
4.0%
중앙여고,사창시장 2
 
4.0%
도청 2
 
4.0%
사창사거리 2
 
4.0%
Other values (25) 29
58.0%
2023-12-12T08:10:59.887859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
청 13
 
5.2%
사 11
 
4.4%
리 9
 
3.6%
주 9
 
3.6%
교 9
 
3.6%
지 9
 
3.6%
거 8
 
3.2%
대 8
 
3.2%
시 8
 
3.2%
학 7
 
2.8%
Other values (79) 161
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 245
97.2%
Other Punctuation 4
 
1.6%
Decimal Number 3
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 13
 
5.3%
사 11
 
4.5%
리 9
 
3.7%
주 9
 
3.7%
교 9
 
3.7%
지 9
 
3.7%
거 8
 
3.3%
대 8
 
3.3%
시 8
 
3.3%
학 7
 
2.9%
Other values (74) 154
62.9%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
3 1
33.3%
1 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 2
50.0%
, 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 245
97.2%
Common 7
 
2.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 13
 
5.3%
사 11
 
4.5%
리 9
 
3.7%
주 9
 
3.7%
교 9
 
3.7%
지 9
 
3.7%
거 8
 
3.3%
대 8
 
3.3%
시 8
 
3.3%
학 7
 
2.9%
Other values (74) 154
62.9%
Common
ValueCountFrequency (%)
. 2
28.6%
, 2
28.6%
2 1
14.3%
3 1
14.3%
1 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 245
97.2%
ASCII 7
 
2.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
청 13
 
5.3%
사 11
 
4.5%
리 9
 
3.7%
주 9
 
3.7%
교 9
 
3.7%
지 9
 
3.7%
거 8
 
3.3%
대 8
 
3.3%
시 8
 
3.3%
학 7
 
2.9%
Other values (74) 154
62.9%
ASCII
ValueCountFrequency (%)
. 2
28.6%
, 2
28.6%
2 1
14.3%
3 1
14.3%
1 1
14.3%

승차소계
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T08:11:00.173095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.68
Min length3

Characters and Unicode

Total characters234
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

Unique48 ?
Unique (%)96.0%

Sample

1st row6,170
2nd row4,005
3rd row2,719
4th row2,640
5th row2,435
ValueCountFrequency (%)
1,399 2
 
4.0%
6,170 1
 
2.0%
1,412 1
 
2.0%
1,395 1
 
2.0%
1,447 1
 
2.0%
1,338 1
 
2.0%
908 1
 
2.0%
1,126 1
 
2.0%
984 1
 
2.0%
1,028 1
 
2.0%
Other values (39) 39
78.0%
2023-12-12T08:11:00.598939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 42
17.9%
, 42
17.9%
0 30
12.8%
2 18
7.7%
9 17
7.3%
4 16
 
6.8%
6 16
 
6.8%
3 15
 
6.4%
7 15
 
6.4%
8 12
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 192
82.1%
Other Punctuation 42
 
17.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 42
21.9%
0 30
15.6%
2 18
9.4%
9 17
8.9%
4 16
 
8.3%
6 16
 
8.3%
3 15
 
7.8%
7 15
 
7.8%
8 12
 
6.2%
5 11
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 234
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 42
17.9%
, 42
17.9%
0 30
12.8%
2 18
7.7%
9 17
7.3%
4 16
 
6.8%
6 16
 
6.8%
3 15
 
6.4%
7 15
 
6.4%
8 12
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 234
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 42
17.9%
, 42
17.9%
0 30
12.8%
2 18
7.7%
9 17
7.3%
4 16
 
6.8%
6 16
 
6.8%
3 15
 
6.4%
7 15
 
6.4%
8 12
 
5.1%

승차
Text

Distinct49
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T08:11:00.869353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.96
Min length1

Characters and Unicode

Total characters198
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

Unique48 ?
Unique (%)96.0%

Sample

1st row5,247
2nd row3,301
3rd row1,466
4th row1,429
5th row1,495
ValueCountFrequency (%)
1,213 2
 
4.0%
5,247 1
 
2.0%
1,225 1
 
2.0%
1,097 1
 
2.0%
0 1
 
2.0%
948 1
 
2.0%
849 1
 
2.0%
734 1
 
2.0%
778 1
 
2.0%
811 1
 
2.0%
Other values (39) 39
78.0%
2023-12-12T08:11:01.326116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 33
16.7%
, 25
12.6%
4 24
12.1%
7 17
8.6%
9 17
8.6%
8 17
8.6%
2 16
8.1%
3 15
7.6%
5 14
7.1%
0 12
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 173
87.4%
Other Punctuation 25
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 33
19.1%
4 24
13.9%
7 17
9.8%
9 17
9.8%
8 17
9.8%
2 16
9.2%
3 15
8.7%
5 14
8.1%
0 12
 
6.9%
6 8
 
4.6%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 198
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 33
16.7%
, 25
12.6%
4 24
12.1%
7 17
8.6%
9 17
8.6%
8 17
8.6%
2 16
8.1%
3 15
7.6%
5 14
7.1%
0 12
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 198
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 33
16.7%
, 25
12.6%
4 24
12.1%
7 17
8.6%
9 17
8.6%
8 17
8.6%
2 16
8.1%
3 15
7.6%
5 14
7.1%
0 12
 
6.1%

시계외 승차
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
47 
1
 
2
1,395
 
1

Length

Max length5
Median length1
Mean length1.08
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 47
94.0%
1 2
 
4.0%
1,395 1
 
2.0%

Length

2023-12-12T08:11:01.541979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:11:01.674892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 47
94.0%
1 2
 
4.0%
1,395 1
 
2.0%

환승 승차
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T08:11:01.923733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.84
Min length1

Characters and Unicode

Total characters142
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

Unique46 ?
Unique (%)92.0%

Sample

1st row923
2nd row704
3rd row1,253
4th row1,211
5th row940
ValueCountFrequency (%)
29 2
 
4.0%
907 2
 
4.0%
346 1
 
2.0%
923 1
 
2.0%
0 1
 
2.0%
234 1
 
2.0%
389 1
 
2.0%
550 1
 
2.0%
174 1
 
2.0%
348 1
 
2.0%
Other values (38) 38
76.0%
2023-12-12T08:11:02.331140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 18
12.7%
0 18
12.7%
1 18
12.7%
7 15
10.6%
4 15
10.6%
3 14
9.9%
6 11
7.7%
5 11
7.7%
8 10
7.0%
9 9
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 139
97.9%
Other Punctuation 3
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 18
12.9%
0 18
12.9%
1 18
12.9%
7 15
10.8%
4 15
10.8%
3 14
10.1%
6 11
7.9%
5 11
7.9%
8 10
7.2%
9 9
6.5%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 142
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 18
12.7%
0 18
12.7%
1 18
12.7%
7 15
10.6%
4 15
10.6%
3 14
9.9%
6 11
7.7%
5 11
7.7%
8 10
7.0%
9 9
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 142
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 18
12.7%
0 18
12.7%
1 18
12.7%
7 15
10.6%
4 15
10.6%
3 14
9.9%
6 11
7.7%
5 11
7.7%
8 10
7.0%
9 9
6.3%

하차소계
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T08:11:02.596973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.42
Min length2

Characters and Unicode

Total characters171
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

Unique46 ?
Unique (%)92.0%

Sample

1st row2,719
2nd row1,144
3rd row1,971
4th row1,536
5th row1,319
ValueCountFrequency (%)
304 2
 
4.0%
1,097 2
 
4.0%
444 1
 
2.0%
2,719 1
 
2.0%
61 1
 
2.0%
357 1
 
2.0%
384 1
 
2.0%
318 1
 
2.0%
712 1
 
2.0%
316 1
 
2.0%
Other values (38) 38
76.0%
2023-12-12T08:11:03.023370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 35
20.5%
3 21
12.3%
4 18
10.5%
7 15
8.8%
8 14
 
8.2%
, 13
 
7.6%
9 13
 
7.6%
6 13
 
7.6%
2 13
 
7.6%
0 11
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 158
92.4%
Other Punctuation 13
 
7.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 35
22.2%
3 21
13.3%
4 18
11.4%
7 15
9.5%
8 14
 
8.9%
9 13
 
8.2%
6 13
 
8.2%
2 13
 
8.2%
0 11
 
7.0%
5 5
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 171
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 35
20.5%
3 21
12.3%
4 18
10.5%
7 15
8.8%
8 14
 
8.2%
, 13
 
7.6%
9 13
 
7.6%
6 13
 
7.6%
2 13
 
7.6%
0 11
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 171
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 35
20.5%
3 21
12.3%
4 18
10.5%
7 15
8.8%
8 14
 
8.2%
, 13
 
7.6%
9 13
 
7.6%
6 13
 
7.6%
2 13
 
7.6%
0 11
 
6.4%

하차
Text

Distinct48
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T08:11:03.272699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.38
Min length1

Characters and Unicode

Total characters169
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

Unique46 ?
Unique (%)92.0%

Sample

1st row2,719
2nd row1,144
3rd row1,971
4th row1,536
5th row1,319
ValueCountFrequency (%)
304 2
 
4.0%
1,097 2
 
4.0%
444 1
 
2.0%
2,719 1
 
2.0%
61 1
 
2.0%
0 1
 
2.0%
384 1
 
2.0%
318 1
 
2.0%
712 1
 
2.0%
316 1
 
2.0%
Other values (38) 38
76.0%
2023-12-12T08:11:03.656122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 35
20.7%
3 20
11.8%
4 18
10.7%
7 14
 
8.3%
8 14
 
8.3%
, 13
 
7.7%
9 13
 
7.7%
6 13
 
7.7%
2 13
 
7.7%
0 12
 
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 156
92.3%
Other Punctuation 13
 
7.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 35
22.4%
3 20
12.8%
4 18
11.5%
7 14
 
9.0%
8 14
 
9.0%
9 13
 
8.3%
6 13
 
8.3%
2 13
 
8.3%
0 12
 
7.7%
5 4
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 169
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 35
20.7%
3 20
11.8%
4 18
10.7%
7 14
 
8.3%
8 14
 
8.3%
, 13
 
7.7%
9 13
 
7.7%
6 13
 
7.7%
2 13
 
7.7%
0 12
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 169
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 35
20.7%
3 20
11.8%
4 18
10.7%
7 14
 
8.3%
8 14
 
8.3%
, 13
 
7.7%
9 13
 
7.7%
6 13
 
7.7%
2 13
 
7.7%
0 12
 
7.1%

시계외 하차
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
0
49 
357
 
1

Length

Max length3
Median length1
Mean length1.04
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 49
98.0%
357 1
 
2.0%

Length

2023-12-12T08:11:03.859044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:11:03.994415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 49
98.0%
357 1
 
2.0%

총 이용인원
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2023-12-12T08:11:04.199973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters250
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

Unique50 ?
Unique (%)100.0%

Sample

1st row8,890
2nd row5,148
3rd row4,692
4th row4,178
5th row3,755
ValueCountFrequency (%)
8,890 1
 
2.0%
1,351 1
 
2.0%
1,084 1
 
2.0%
1,757 1
 
2.0%
1,753 1
 
2.0%
1,751 1
 
2.0%
1,722 1
 
2.0%
1,717 1
 
2.0%
1,620 1
 
2.0%
1,442 1
 
2.0%
Other values (40) 40
80.0%
2023-12-12T08:11:04.568498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 50
20.0%
1 49
19.6%
2 25
10.0%
4 19
 
7.6%
0 18
 
7.2%
3 18
 
7.2%
8 17
 
6.8%
7 15
 
6.0%
6 14
 
5.6%
5 13
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
80.0%
Other Punctuation 50
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 49
24.5%
2 25
12.5%
4 19
 
9.5%
0 18
 
9.0%
3 18
 
9.0%
8 17
 
8.5%
7 15
 
7.5%
6 14
 
7.0%
5 13
 
6.5%
9 12
 
6.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 250
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 50
20.0%
1 49
19.6%
2 25
10.0%
4 19
 
7.6%
0 18
 
7.2%
3 18
 
7.2%
8 17
 
6.8%
7 15
 
6.0%
6 14
 
5.6%
5 13
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 250
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 50
20.0%
1 49
19.6%
2 25
10.0%
4 19
 
7.6%
0 18
 
7.2%
3 18
 
7.2%
8 17
 
6.8%
7 15
 
6.0%
6 14
 
5.6%
5 13
 
5.2%

Interactions

2023-12-12T08:10:57.758282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:57.574660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:57.865701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:10:57.657444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:11:04.698848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위정류장ID정류장명승차소계승차시계외 승차환승 승차하차소계하차시계외 하차총 이용인원
순위1.0000.0000.6870.9340.9340.0000.9690.8610.8610.0871.000
정류장ID0.0001.0000.8310.0000.9610.3610.0000.7960.7960.3341.000
정류장명0.6870.8311.0000.9830.9930.9170.9650.9890.9891.0001.000
승차소계0.9340.0000.9831.0000.9961.0000.9890.9890.9891.0001.000
승차0.9340.9610.9930.9961.0001.0000.9890.9940.9941.0001.000
시계외 승차0.0000.3610.9171.0001.0001.0001.0001.0001.0001.0001.000
환승 승차0.9690.0000.9650.9890.9891.0001.0000.9930.9931.0001.000
하차소계0.8610.7960.9890.9890.9941.0000.9931.0001.0001.0001.000
하차0.8610.7960.9890.9890.9941.0000.9931.0001.0001.0001.000
시계외 하차0.0870.3341.0001.0001.0001.0001.0001.0001.0001.0001.000
총 이용인원1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T08:11:04.853603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시계외 승차시계외 하차
시계외 승차1.0000.990
시계외 하차0.9901.000
2023-12-12T08:11:04.957690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순위정류장ID시계외 승차시계외 하차
순위1.0000.0720.0000.000
정류장ID0.0721.0000.2500.339
시계외 승차0.0000.2501.0000.990
시계외 하차0.0000.3390.9901.000

Missing values

2023-12-12T08:10:58.005714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:10:58.447580image/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

순위정류장ID정류장명승차소계승차시계외 승차환승 승차하차소계하차시계외 하차총 이용인원
014374891시외버스터미널6,1705,24709232,7192,71908,890
124376371지하상가4,0053,30107041,1441,14405,148
234379021도청2,7191,46601,2531,9711,97104,692
344377911서운동2,6401,42901,2111,5361,53604,178
454376711도청2,4351,49509401,3191,31903,755
564372501상당공원1,90199409071,7811,78103,682
674361111청주대학교2,8342,524031082882803,663
784391231사창사거리2,4551,94705081,2071,20703,662
894357571청주체육관2,4731,25201,2211,1011,10103,574
9104358401육거리2,2101,30309071,0971,09703,309
순위정류장ID정류장명승차소계승차시계외 승차환승 승차하차소계하차시계외 하차총 이용인원
40414374251청주성모병원1,0721,00406816816801,240
41424377881수곡우체국1,002831017117417401,176
42434378941효성아파트1,0971,068029676701,163
43444378801현대3차아파트1,0671,019048797901,146
44454368581월곡리.충청대학1,0821,07309313101,113
45464374041오송역68762416241841801,105
46474377961분평뜨란채1단지1,004958046979701,101
47484377411신한은행669422024742242201,091
48494363401중앙여고,사창시장78072305730430401,084
49504377871시계탑83778705024424401,082