Overview

Dataset statistics

Number of variables27
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.5 KiB
Average record size in memory243.3 B

Variable types

Categorical20
Text1
Numeric6

Dataset

Description대구도시철도 역사별 자동화설비 설치현황으로 1~3호선 역별 발권기, 자동개집표기, 자동발매기, 카드보충기, 자동분류기, 휴대용정산기 역단위전산기, 감시제어기, 유지보수전산기, 운용자전산기, 출입관리시스템 운영현황을 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15002062/fileData.do

Alerts

발권기 is highly imbalanced (55.6%)Imbalance
자동개집표기(환승) is highly imbalanced (86.2%)Imbalance
자동개집표기(유아) is highly imbalanced (86.2%)Imbalance
자동발매기(겸용) is highly imbalanced (57.4%)Imbalance
자동발매기(정산) is highly imbalanced (92.1%)Imbalance
자동분류기 is highly imbalanced (50.1%)Imbalance
유지보수전산기 is highly imbalanced (74.9%)Imbalance
운용자전산기 is highly imbalanced (86.2%)Imbalance
출입관리시스템(주제어) is highly imbalanced (52.3%)Imbalance
출입관리시스템(제어장치) is highly imbalanced (71.4%)Imbalance
관리역전산기 is highly imbalanced (72.0%)Imbalance
엘3스위치 is highly imbalanced (55.6%)Imbalance
출입관리시스템(서버) is highly imbalanced (92.1%)Imbalance
자동개집표기(일반) has 12 (11.7%) zerosZeros
자동개집표기(장애) has 12 (11.7%) zerosZeros
자동발매기(보통) has 44 (42.7%) zerosZeros
출입관리시스템(카드리더기) has 7 (6.8%) zerosZeros
통합발매기 has 71 (68.9%) zerosZeros
출입관리시스템(전기정) has 7 (6.8%) zerosZeros

Reproduction

Analysis started2023-12-12 12:44:47.044528
Analysis finished2023-12-12 12:44:47.304042
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

호선
Categorical

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
36 
2
35 
3
32 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 36
35.0%
2 35
34.0%
3 32
31.1%

Length

2023-12-12T21:44:47.360250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:47.460456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 36
35.0%
2 35
34.0%
3 32
31.1%

역명
Text

Distinct101
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-12T21:44:47.697860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length5.6796117
Min length3

Characters and Unicode

Total characters585
Distinct characters117
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)96.1%

Sample

1st row설화명곡
2nd row화 원
3rd row월배기지
4th row대 곡
5th row진 천
ValueCountFrequency (%)
대 11
 
5.8%
월 6
 
3.2%
산 5
 
2.6%
구 5
 
2.6%
천 4
 
2.1%
동 4
 
2.1%
명 4
 
2.1%
반 4
 
2.1%
촌 4
 
2.1%
당 4
 
2.1%
Other values (107) 138
73.0%
2023-12-12T21:44:48.089519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
286
48.9%
대 15
 
2.6%
지 9
 
1.5%
월 9
 
1.5%
구 9
 
1.5%
성 8
 
1.4%
원 7
 
1.2%
장 7
 
1.2%
산 7
 
1.2%
동 6
 
1.0%
Other values (107) 222
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 299
51.1%
Space Separator 286
48.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 15
 
5.0%
지 9
 
3.0%
월 9
 
3.0%
구 9
 
3.0%
성 8
 
2.7%
원 7
 
2.3%
장 7
 
2.3%
산 7
 
2.3%
동 6
 
2.0%
소 6
 
2.0%
Other values (106) 216
72.2%
Space Separator
ValueCountFrequency (%)
286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 299
51.1%
Common 286
48.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 15
 
5.0%
지 9
 
3.0%
월 9
 
3.0%
구 9
 
3.0%
성 8
 
2.7%
원 7
 
2.3%
장 7
 
2.3%
산 7
 
2.3%
동 6
 
2.0%
소 6
 
2.0%
Other values (106) 216
72.2%
Common
ValueCountFrequency (%)
286
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 299
51.1%
ASCII 286
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
286
100.0%
Hangul
ValueCountFrequency (%)
대 15
 
5.0%
지 9
 
3.0%
월 9
 
3.0%
구 9
 
3.0%
성 8
 
2.7%
원 7
 
2.3%
장 7
 
2.3%
산 7
 
2.3%
동 6
 
2.0%
소 6
 
2.0%
Other values (106) 216
72.2%

발권기
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
88 
0
12 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 88
85.4%
0 12
 
11.7%
2 3
 
2.9%

Length

2023-12-12T21:44:48.220209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:48.327034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 88
85.4%
0 12
 
11.7%
2 3
 
2.9%

자동개집표기(일반)
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0970874
Minimum0
Maximum28
Zeros12
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:48.691566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median7
Q311
95-th percentile16
Maximum28
Range28
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0225268
Coefficient of variation (CV)0.62028809
Kurtosis1.3195357
Mean8.0970874
Median Absolute Deviation (MAD)3
Skewness0.6286593
Sum834
Variance25.225776
MonotonicityNot monotonic
2023-12-12T21:44:48.785374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
5 22
21.4%
0 12
11.7%
6 11
10.7%
10 10
9.7%
14 8
 
7.8%
12 7
 
6.8%
11 6
 
5.8%
7 6
 
5.8%
9 5
 
4.9%
16 5
 
4.9%
Other values (5) 11
10.7%
ValueCountFrequency (%)
0 12
11.7%
4 3
 
2.9%
5 22
21.4%
6 11
10.7%
7 6
 
5.8%
8 3
 
2.9%
9 5
 
4.9%
10 10
9.7%
11 6
 
5.8%
12 7
 
6.8%
ValueCountFrequency (%)
28 1
 
1.0%
20 1
 
1.0%
16 5
4.9%
15 3
 
2.9%
14 8
7.8%
12 7
6.8%
11 6
5.8%
10 10
9.7%
9 5
4.9%
8 3
 
2.9%

자동개집표기(장애)
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4174757
Minimum0
Maximum8
Zeros12
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:48.889917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median2
Q34
95-th percentile4
Maximum8
Range8
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5308864
Coefficient of variation (CV)0.63325823
Kurtosis0.62229367
Mean2.4174757
Median Absolute Deviation (MAD)1
Skewness0.51864203
Sum249
Variance2.3436132
MonotonicityNot monotonic
2023-12-12T21:44:49.032266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 43
41.7%
4 32
31.1%
0 12
 
11.7%
1 12
 
11.7%
6 2
 
1.9%
8 1
 
1.0%
3 1
 
1.0%
ValueCountFrequency (%)
0 12
 
11.7%
1 12
 
11.7%
2 43
41.7%
3 1
 
1.0%
4 32
31.1%
6 2
 
1.9%
8 1
 
1.0%
ValueCountFrequency (%)
8 1
 
1.0%
6 2
 
1.9%
4 32
31.1%
3 1
 
1.0%
2 43
41.7%
1 12
 
11.7%
0 12
 
11.7%

자동개집표기(환승)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
101 
4
 
2

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 (%)
0 101
98.1%
4 2
 
1.9%

Length

2023-12-12T21:44:49.193812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:49.316721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 101
98.1%
4 2
 
1.9%

자동개집표기(유아)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
101 
2
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 101
98.1%
2 2
 
1.9%

Length

2023-12-12T21:44:49.428823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:49.547283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 101
98.1%
2 2
 
1.9%

자동발매기(보통)
Real number (ℝ)

ZEROS 

Distinct8
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.9417476
Minimum0
Maximum8
Zeros44
Zeros (%)42.7%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:49.643467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q33
95-th percentile5.9
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0040412
Coefficient of variation (CV)1.0320812
Kurtosis0.24237768
Mean1.9417476
Median Absolute Deviation (MAD)2
Skewness0.78956209
Sum200
Variance4.0161812
MonotonicityNot monotonic
2023-12-12T21:44:49.760670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 44
42.7%
3 20
19.4%
2 17
 
16.5%
4 15
 
14.6%
6 3
 
2.9%
8 2
 
1.9%
7 1
 
1.0%
5 1
 
1.0%
ValueCountFrequency (%)
0 44
42.7%
2 17
 
16.5%
3 20
19.4%
4 15
 
14.6%
5 1
 
1.0%
6 3
 
2.9%
7 1
 
1.0%
8 2
 
1.9%
ValueCountFrequency (%)
8 2
 
1.9%
7 1
 
1.0%
6 3
 
2.9%
5 1
 
1.0%
4 15
 
14.6%
3 20
19.4%
2 17
 
16.5%
0 44
42.7%

자동발매기(우대)
Categorical

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
44 
1
44 
2
12 
4
 
2
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
0 44
42.7%
1 44
42.7%
2 12
 
11.7%
4 2
 
1.9%
3 1
 
1.0%

Length

2023-12-12T21:44:49.893054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:50.016873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
42.7%
1 44
42.7%
2 12
 
11.7%
4 2
 
1.9%
3 1
 
1.0%

자동발매기(겸용)
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
85 
1
13 
2
 
4
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row2
5th row0

Common Values

ValueCountFrequency (%)
0 85
82.5%
1 13
 
12.6%
2 4
 
3.9%
4 1
 
1.0%

Length

2023-12-12T21:44:50.155572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:50.282982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 85
82.5%
1 13
 
12.6%
2 4
 
3.9%
4 1
 
1.0%

자동발매기(정산)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
102 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 102
99.0%
1 1
 
1.0%

Length

2023-12-12T21:44:50.411020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:50.502934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 102
99.0%
1 1
 
1.0%

교통카드보충기
Categorical

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
44 
1
32 
2
22 
3
 
4
4
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row0
2nd row0
3rd row0
4th row2
5th row3

Common Values

ValueCountFrequency (%)
0 44
42.7%
1 32
31.1%
2 22
21.4%
3 4
 
3.9%
4 1
 
1.0%

Length

2023-12-12T21:44:50.610197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:50.721476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
42.7%
1 32
31.1%
2 22
21.4%
3 4
 
3.9%
4 1
 
1.0%

자동분류기
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
86 
0
12 
2
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 86
83.5%
0 12
 
11.7%
2 5
 
4.9%

Length

2023-12-12T21:44:50.832551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:50.922710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 86
83.5%
0 12
 
11.7%
2 5
 
4.9%

휴대용정산기
Categorical

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
55 
0
35 
2
12 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 55
53.4%
0 35
34.0%
2 12
 
11.7%
3 1
 
1.0%

Length

2023-12-12T21:44:51.032476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:51.145438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 55
53.4%
0 35
34.0%
2 12
 
11.7%
3 1
 
1.0%

역단위전산기
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
61 
0
42 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 61
59.2%
0 42
40.8%

Length

2023-12-12T21:44:51.242837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:51.334271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 61
59.2%
0 42
40.8%

감시제어기
Categorical

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
76 
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row1

Common Values

ValueCountFrequency (%)
0 76
73.8%
1 27
 
26.2%

Length

2023-12-12T21:44:51.435011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:51.537725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 76
73.8%
1 27
 
26.2%

유지보수전산기
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
96 
1
 
6
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 96
93.2%
1 6
 
5.8%
2 1
 
1.0%

Length

2023-12-12T21:44:51.631433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:51.721458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 96
93.2%
1 6
 
5.8%
2 1
 
1.0%

운용자전산기
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
101 
1
 
2

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 (%)
0 101
98.1%
1 2
 
1.9%

Length

2023-12-12T21:44:51.824126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:51.924124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 101
98.1%
1 2
 
1.9%

출입관리시스템(주제어)
Categorical

IMBALANCE 

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
72 
0
27 
3
 
2
2
 
1
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)1.9%

Sample

1st row1
2nd row1
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 72
69.9%
0 27
 
26.2%
3 2
 
1.9%
2 1
 
1.0%
5 1
 
1.0%

Length

2023-12-12T21:44:52.042738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:52.164934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 72
69.9%
0 27
 
26.2%
3 2
 
1.9%
2 1
 
1.0%
5 1
 
1.0%

출입관리시스템(제어장치)
Categorical

IMBALANCE 

Distinct4
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
93 
0
 
7
3
 
2
5
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

1st row1
2nd row1
3rd row3
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 93
90.3%
0 7
 
6.8%
3 2
 
1.9%
5 1
 
1.0%

Length

2023-12-12T21:44:52.280791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:52.396324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 93
90.3%
0 7
 
6.8%
3 2
 
1.9%
5 1
 
1.0%

출입관리시스템(카드리더기)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3883495
Minimum0
Maximum31
Zeros7
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:52.490434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median8
Q39
95-th percentile10
Maximum31
Range31
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.5320188
Coefficient of variation (CV)0.47805248
Kurtosis19.37447
Mean7.3883495
Median Absolute Deviation (MAD)1
Skewness2.3601625
Sum761
Variance12.475157
MonotonicityNot monotonic
2023-12-12T21:44:52.619545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
8 28
27.2%
9 25
24.3%
6 12
11.7%
7 9
 
8.7%
10 7
 
6.8%
0 7
 
6.8%
5 6
 
5.8%
4 4
 
3.9%
11 1
 
1.0%
3 1
 
1.0%
Other values (3) 3
 
2.9%
ValueCountFrequency (%)
0 7
 
6.8%
2 1
 
1.0%
3 1
 
1.0%
4 4
 
3.9%
5 6
 
5.8%
6 12
11.7%
7 9
 
8.7%
8 28
27.2%
9 25
24.3%
10 7
 
6.8%
ValueCountFrequency (%)
31 1
 
1.0%
14 1
 
1.0%
11 1
 
1.0%
10 7
 
6.8%
9 25
24.3%
8 28
27.2%
7 9
 
8.7%
6 12
11.7%
5 6
 
5.8%
4 4
 
3.9%

통합발매기
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.85436893
Minimum0
Maximum7
Zeros71
Zeros (%)68.9%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:52.718114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile3
Maximum7
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.4170376
Coefficient of variation (CV)1.658578
Kurtosis2.827198
Mean0.85436893
Median Absolute Deviation (MAD)0
Skewness1.6753611
Sum88
Variance2.0079954
MonotonicityNot monotonic
2023-12-12T21:44:52.881382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 71
68.9%
2 17
 
16.5%
3 10
 
9.7%
4 3
 
2.9%
5 1
 
1.0%
7 1
 
1.0%
ValueCountFrequency (%)
0 71
68.9%
2 17
 
16.5%
3 10
 
9.7%
4 3
 
2.9%
5 1
 
1.0%
7 1
 
1.0%
ValueCountFrequency (%)
7 1
 
1.0%
5 1
 
1.0%
4 3
 
2.9%
3 10
 
9.7%
2 17
 
16.5%
0 71
68.9%

자동정산기
Categorical

Distinct5
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
72 
1
25 
3
 
3
4
 
2
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 72
69.9%
1 25
 
24.3%
3 3
 
2.9%
4 2
 
1.9%
2 1
 
1.0%

Length

2023-12-12T21:44:53.388076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:53.674135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 72
69.9%
1 25
 
24.3%
3 3
 
2.9%
4 2
 
1.9%
2 1
 
1.0%

관리역전산기
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
98 
1
 
5

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 98
95.1%
1 5
 
4.9%

Length

2023-12-12T21:44:54.131320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:54.371070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 98
95.1%
1 5
 
4.9%

엘3스위치
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
1
88 
0
12 
2
 
3

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 88
85.4%
0 12
 
11.7%
2 3
 
2.9%

Length

2023-12-12T21:44:54.501628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:54.634825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 88
85.4%
0 12
 
11.7%
2 3
 
2.9%

출입관리시스템(서버)
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size956.0 B
0
102 
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 102
99.0%
1 1
 
1.0%

Length

2023-12-12T21:44:54.767407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:54.939498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 102
99.0%
1 1
 
1.0%

출입관리시스템(전기정)
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3883495
Minimum0
Maximum31
Zeros7
Zeros (%)6.8%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:55.077054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median8
Q39
95-th percentile10
Maximum31
Range31
Interquartile range (IQR)3

Descriptive statistics

Standard deviation3.5320188
Coefficient of variation (CV)0.47805248
Kurtosis19.37447
Mean7.3883495
Median Absolute Deviation (MAD)1
Skewness2.3601625
Sum761
Variance12.475157
MonotonicityNot monotonic
2023-12-12T21:44:55.230510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
8 28
27.2%
9 25
24.3%
6 12
11.7%
7 9
 
8.7%
10 7
 
6.8%
0 7
 
6.8%
5 6
 
5.8%
4 4
 
3.9%
11 1
 
1.0%
3 1
 
1.0%
Other values (3) 3
 
2.9%
ValueCountFrequency (%)
0 7
 
6.8%
2 1
 
1.0%
3 1
 
1.0%
4 4
 
3.9%
5 6
 
5.8%
6 12
11.7%
7 9
 
8.7%
8 28
27.2%
9 25
24.3%
10 7
 
6.8%
ValueCountFrequency (%)
31 1
 
1.0%
14 1
 
1.0%
11 1
 
1.0%
10 7
 
6.8%
9 25
24.3%
8 28
27.2%
7 9
 
8.7%
6 12
11.7%
5 6
 
5.8%
4 4
 
3.9%

Sample

호선역명발권기자동개집표기(일반)자동개집표기(장애)자동개집표기(환승)자동개집표기(유아)자동발매기(보통)자동발매기(우대)자동발매기(겸용)자동발매기(정산)교통카드보충기자동분류기휴대용정산기역단위전산기감시제어기유지보수전산기운용자전산기출입관리시스템(주제어)출입관리시스템(제어장치)출입관리시스템(카드리더기)통합발매기자동정산기관리역전산기엘3스위치출입관리시스템(서버)출입관리시스템(전기정)
01설화명곡156020000011100011114001011
11화 원1520200000111000119200109
21월배기지0000000000000000334000004
31대 곡1640031202111000119000109
41진 천1940021003111100119000109
51월 배11040021001111000118000108
61상 인1114003200211110011100001010
71월 촌11220041003111100118000108
81송현분소0000000000020010100000000
91송 현11220041002111100119000109
호선역명발권기자동개집표기(일반)자동개집표기(장애)자동개집표기(환승)자동개집표기(유아)자동발매기(보통)자동발매기(우대)자동발매기(겸용)자동발매기(정산)교통카드보충기자동분류기휴대용정산기역단위전산기감시제어기유지보수전산기운용자전산기출입관리시스템(주제어)출입관리시스템(제어장치)출입관리시스템(카드리더기)통합발매기자동정산기관리역전산기엘3스위치출입관리시스템(서버)출입관리시스템(전기정)
933대 봉 교1610000000100000016310106
943수성시장1510000000100000017210107
953수성구민운동장1510000000120000117311107
963어린이회관1520000000100000014210104
973황 금1520000000100010015310105
983수성못1620000000120000115311105
993지 산1540000000100000017230107
1003범 물1540000000100000017330107
1013용 지1540000000100000017220107
1023범물기지000000000000000001140000014