Overview

Dataset statistics

Number of variables26
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory238.8 B

Variable types

Numeric3
Text1
Categorical22

Dataset

Description대전도시철도의 역별 수송실적을 보여주는 서비스로 연도별, 역별, 월별 승차 및 하차 인원을 조회할 수 있다.(월단위 대전도시철도 역별 승차인원, 하차인원 자료 제공임)
Author대전교통공사
URLhttps://www.data.go.kr/data/15060761/fileData.do

Alerts

2월 승차 has constant value ""Constant
2월 하차 has constant value ""Constant
3월 승차 has constant value ""Constant
3월 하차 has constant value ""Constant
4월 승차 has constant value ""Constant
4월 하차 has constant value ""Constant
5월 승차 has constant value ""Constant
5월 하차 has constant value ""Constant
6월 승차 has constant value ""Constant
6월 하차 has constant value ""Constant
7월 승차 has constant value ""Constant
7월 하차 has constant value ""Constant
8월 승차 has constant value ""Constant
8월 하차 has constant value ""Constant
9월 승차 has constant value ""Constant
9월 하차 has constant value ""Constant
10월 승차 has constant value ""Constant
10월 하차 has constant value ""Constant
11월 승차 has constant value ""Constant
11월 하차 has constant value ""Constant
12월 승차 has constant value ""Constant
12월 하차 has constant value ""Constant
역번호 has unique valuesUnique
역명 has unique valuesUnique
1월 승차 has unique valuesUnique
1월 하차 has unique valuesUnique

Reproduction

Analysis started2024-03-14 17:39:32.181275
Analysis finished2024-03-14 17:39:32.516786
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

역번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1111.5
Minimum1101
Maximum1122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-15T02:39:32.905669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1101
5-th percentile1102.05
Q11106.25
median1111.5
Q31116.75
95-th percentile1120.95
Maximum1122
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.0058421832
Kurtosis-1.2
Mean1111.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum24453
Variance42.166667
MonotonicityStrictly increasing
2024-03-15T02:39:33.279198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1101 1
 
4.5%
1113 1
 
4.5%
1122 1
 
4.5%
1121 1
 
4.5%
1120 1
 
4.5%
1119 1
 
4.5%
1118 1
 
4.5%
1117 1
 
4.5%
1116 1
 
4.5%
1115 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1101 1
4.5%
1102 1
4.5%
1103 1
4.5%
1104 1
4.5%
1105 1
4.5%
1106 1
4.5%
1107 1
4.5%
1108 1
4.5%
1109 1
4.5%
1110 1
4.5%
ValueCountFrequency (%)
1122 1
4.5%
1121 1
4.5%
1120 1
4.5%
1119 1
4.5%
1118 1
4.5%
1117 1
4.5%
1116 1
4.5%
1115 1
4.5%
1114 1
4.5%
1113 1
4.5%

역명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size304.0 B
2024-03-15T02:39:34.098850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length2
Mean length2.6818182
Min length2

Characters and Unicode

Total characters59
Distinct characters49
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row판암
2nd row신흥
3rd row대동
4th row대전
5th row중앙로
ValueCountFrequency (%)
판암 1
 
4.5%
신흥 1
 
4.5%
지족 1
 
4.5%
노은 1
 
4.5%
월드컵경기장 1
 
4.5%
현충원 1
 
4.5%
구암 1
 
4.5%
유성온천 1
 
4.5%
갑천 1
 
4.5%
월평 1
 
4.5%
Other values (12) 12
54.5%
2024-03-15T02:39:35.412481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 3
 
5.1%
청 3
 
5.1%
암 2
 
3.4%
천 2
 
3.4%
전 2
 
3.4%
중 2
 
3.4%
구 2
 
3.4%
월 2
 
3.4%
판 1
 
1.7%
원 1
 
1.7%
Other values (39) 39
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 3
 
5.1%
청 3
 
5.1%
암 2
 
3.4%
천 2
 
3.4%
전 2
 
3.4%
중 2
 
3.4%
구 2
 
3.4%
월 2
 
3.4%
판 1
 
1.7%
원 1
 
1.7%
Other values (39) 39
66.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 3
 
5.1%
청 3
 
5.1%
암 2
 
3.4%
천 2
 
3.4%
전 2
 
3.4%
중 2
 
3.4%
구 2
 
3.4%
월 2
 
3.4%
판 1
 
1.7%
원 1
 
1.7%
Other values (39) 39
66.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 3
 
5.1%
청 3
 
5.1%
암 2
 
3.4%
천 2
 
3.4%
전 2
 
3.4%
중 2
 
3.4%
구 2
 
3.4%
월 2
 
3.4%
판 1
 
1.7%
원 1
 
1.7%
Other values (39) 39
66.1%

1월 승차
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133654.91
Minimum28242
Maximum327420
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-15T02:39:35.877503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28242
5-th percentile45526.1
Q177811.5
median114759
Q3181823.75
95-th percentile271296.4
Maximum327420
Range299178
Interquartile range (IQR)104012.25

Descriptive statistics

Standard deviation78372.652
Coefficient of variation (CV)0.58638065
Kurtosis0.32405381
Mean133654.91
Median Absolute Deviation (MAD)54272
Skewness0.90285273
Sum2940408
Variance6.1422726 × 109
MonotonicityNot monotonic
2024-03-15T02:39:36.244337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
114992 1
 
4.5%
85352 1
 
4.5%
216097 1
 
4.5%
61519 1
 
4.5%
119508 1
 
4.5%
76417 1
 
4.5%
53660 1
 
4.5%
81995 1
 
4.5%
273306 1
 
4.5%
28242 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
28242 1
4.5%
45098 1
4.5%
53660 1
4.5%
59455 1
4.5%
61519 1
4.5%
76417 1
4.5%
81995 1
4.5%
85352 1
4.5%
100937 1
4.5%
110149 1
4.5%
ValueCountFrequency (%)
327420 1
4.5%
273306 1
4.5%
233114 1
4.5%
216097 1
4.5%
192770 1
4.5%
185461 1
4.5%
170912 1
4.5%
161491 1
4.5%
127987 1
4.5%
119508 1
4.5%

1월 하차
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133116.18
Minimum27848
Maximum308616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size326.0 B
2024-03-15T02:39:36.647725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27848
5-th percentile41130.2
Q171366.75
median103657.5
Q3189226.25
95-th percentile286618.55
Maximum308616
Range280768
Interquartile range (IQR)117859.5

Descriptive statistics

Standard deviation80227.85
Coefficient of variation (CV)0.60269044
Kurtosis-0.28313608
Mean133116.18
Median Absolute Deviation (MAD)52876.5
Skewness0.75228127
Sum2928556
Variance6.4365079 × 109
MonotonicityNot monotonic
2024-03-15T02:39:37.145492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
103857 1
 
4.5%
85507 1
 
4.5%
199948 1
 
4.5%
58661 1
 
4.5%
125728 1
 
4.5%
67793 1
 
4.5%
42901 1
 
4.5%
82088 1
 
4.5%
289075 1
 
4.5%
27848 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
27848 1
4.5%
41037 1
4.5%
42901 1
4.5%
58661 1
4.5%
63503 1
4.5%
67793 1
4.5%
82088 1
4.5%
85507 1
4.5%
97332 1
4.5%
100648 1
4.5%
ValueCountFrequency (%)
308616 1
4.5%
289075 1
4.5%
239946 1
4.5%
206688 1
4.5%
199948 1
4.5%
189887 1
4.5%
187244 1
4.5%
167977 1
4.5%
138814 1
4.5%
125728 1
4.5%

2월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:37.631233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:37.985281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

2월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:38.380247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:38.722105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

3월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:39.099122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:39.430531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

3월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:39.804116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:40.111530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

4월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:40.428461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:40.740247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

4월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:40.909236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:41.117630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

5월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:41.443956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:41.701050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

5월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:41.968204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:42.138990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

6월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:42.410877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:42.583567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

6월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:42.840246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:43.130803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

7월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:43.299727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:43.572197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

7월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:43.796616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:44.104013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

8월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:44.436799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:44.754026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

8월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:45.082738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:45.392632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

9월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:45.721748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:45.928676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

9월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:46.254178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:46.846199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

10월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:47.239277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:47.649942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

10월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:48.094949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:48.627412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

11월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:48.885984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:49.270166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

11월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:49.608880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:49.925376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

12월 승차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:50.255246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:50.564969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

12월 하차
Categorical

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size304.0 B
0
22 

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 22
100.0%

Length

2024-03-15T02:39:50.851899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T02:39:51.021057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
100.0%

Sample

역번호역명1월 승차1월 하차2월 승차2월 하차3월 승차3월 하차4월 승차4월 하차5월 승차5월 하차6월 승차6월 하차7월 승차7월 하차8월 승차8월 하차9월 승차9월 하차10월 승차10월 하차11월 승차11월 하차12월 승차12월 하차
01101판암1149921038570000000000000000000000
11102신흥45098410370000000000000000000000
21103대동110149973320000000000000000000000
31104대전3274203086160000000000000000000000
41105중앙로1709121872440000000000000000000000
51106중구청59455635030000000000000000000000
61107서대전네거리1614911679770000000000000000000000
71108오룡1145261034580000000000000000000000
81109용문1854611898870000000000000000000000
91110탄방1279871388140000000000000000000000
역번호역명1월 승차1월 하차2월 승차2월 하차3월 승차3월 하차4월 승차4월 하차5월 승차5월 하차6월 승차6월 하차7월 승차7월 하차8월 승차8월 하차9월 승차9월 하차10월 승차10월 하차11월 승차11월 하차12월 승차12월 하차
121113갈마85352855070000000000000000000000
131114월평1009371006480000000000000000000000
141115갑천28242278480000000000000000000000
151116유성온천2733062890750000000000000000000000
161117구암81995820880000000000000000000000
171118현충원53660429010000000000000000000000
181119월드컵경기장76417677930000000000000000000000
191120노은1195081257280000000000000000000000
201121지족61519586610000000000000000000000
211122반석2160971999480000000000000000000000