Overview

Dataset statistics

Number of variables11
Number of observations141
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory90.9 B

Variable types

Categorical6
Text4
Numeric1

Dataset

Description대구도시철도 1, 2, 3호선별 역사 내 설치한 자동심장충격기의 위치 및 품명, 제조사, 설치연도, 관할보건소 역 주소 등의 정보를 제공합니다.
Author대구교통공사
URLhttps://www.data.go.kr/data/15081475/fileData.do

Alerts

제조사 is highly overall correlated with 설치연도 and 1 other fieldsHigh correlation
품명 is highly overall correlated with 설치연도 and 1 other fieldsHigh correlation
설치연도 is highly overall correlated with 품명 and 1 other fieldsHigh correlation
호선 is highly overall correlated with 설치층 and 1 other fieldsHigh correlation
설치층 is highly overall correlated with 호선 and 1 other fieldsHigh correlation
설치장소 is highly overall correlated with 설치층High correlation
관할보건소 is highly overall correlated with 호선High correlation
품명 is highly imbalanced (69.5%)Imbalance
제조사 is highly imbalanced (67.3%)Imbalance

Reproduction

Analysis started2023-12-12 06:29:31.798517
Analysis finished2023-12-12 06:29:33.492329
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

호선
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
1
56 
2
55 
3
30 

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 56
39.7%
2 55
39.0%
3 30
21.3%

Length

2023-12-12T15:29:33.564480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:33.686819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 56
39.7%
2 55
39.0%
3 30
21.3%
Distinct91
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:29:33.990722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.6808511
Min length3

Characters and Unicode

Total characters519
Distinct characters113
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

Unique41 ?
Unique (%)29.1%

Sample

1st row설화명곡역
2nd row설화명곡역
3rd row화원역
4th row화원역
5th row대곡역
ValueCountFrequency (%)
설화명곡역 2
 
1.4%
대실역 2
 
1.4%
사월역 2
 
1.4%
다사역 2
 
1.4%
강창역 2
 
1.4%
계명대역 2
 
1.4%
성서산업단지역 2
 
1.4%
이곡역 2
 
1.4%
용산역 2
 
1.4%
죽전역 2
 
1.4%
Other values (81) 121
85.8%
2023-12-12T15:29:34.532055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
138
26.6%
26
 
5.0%
12
 
2.3%
11
 
2.1%
10
 
1.9%
10
 
1.9%
9
 
1.7%
9
 
1.7%
8
 
1.5%
8
 
1.5%
Other values (103) 278
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 511
98.5%
Decimal Number 8
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
138
27.0%
26
 
5.1%
12
 
2.3%
11
 
2.2%
10
 
2.0%
10
 
2.0%
9
 
1.8%
9
 
1.8%
8
 
1.6%
8
 
1.6%
Other values (100) 270
52.8%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 3
37.5%
3 2
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 511
98.5%
Common 8
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
138
27.0%
26
 
5.1%
12
 
2.3%
11
 
2.2%
10
 
2.0%
10
 
2.0%
9
 
1.8%
9
 
1.8%
8
 
1.6%
8
 
1.6%
Other values (100) 270
52.8%
Common
ValueCountFrequency (%)
1 3
37.5%
2 3
37.5%
3 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 511
98.5%
ASCII 8
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
138
27.0%
26
 
5.1%
12
 
2.3%
11
 
2.2%
10
 
2.0%
10
 
2.0%
9
 
1.8%
9
 
1.8%
8
 
1.6%
8
 
1.6%
Other values (100) 270
52.8%
ASCII
ValueCountFrequency (%)
1 3
37.5%
2 3
37.5%
3 2
25.0%

설치층
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
지하3층
35 
지하1층
34 
지하2층
32 
지상2층
29 
지하4층
Other values (3)
 
3

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique3 ?
Unique (%)2.1%

Sample

1st row지하2층
2nd row지하3층
3rd row지하1층
4th row지하3층
5th row지하2층

Common Values

ValueCountFrequency (%)
지하3층 35
24.8%
지하1층 34
24.1%
지하2층 32
22.7%
지상2층 29
20.6%
지하4층 8
 
5.7%
지상4층 1
 
0.7%
지하5층 1
 
0.7%
지상1층 1
 
0.7%

Length

2023-12-12T15:29:34.685080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:34.802967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하3층 35
24.8%
지하1층 34
24.1%
지하2층 32
22.7%
지상2층 29
20.6%
지하4층 8
 
5.7%
지상4층 1
 
0.7%
지하5층 1
 
0.7%
지상1층 1
 
0.7%

설치장소
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
대합실
88 
승강장
53 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대합실
2nd row승강장
3rd row대합실
4th row승강장
5th row대합실

Common Values

ValueCountFrequency (%)
대합실 88
62.4%
승강장 53
37.6%

Length

2023-12-12T15:29:34.976642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:35.097984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대합실 88
62.4%
승강장 53
37.6%
Distinct94
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:29:35.367728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length9.8368794
Min length4

Characters and Unicode

Total characters1387
Distinct characters108
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

Unique74 ?
Unique (%)52.5%

Sample

1st row게이트 앞
2nd row안심방면 4-4 방향
3rd row수유실앞
4th row안심방면 3-4 방향
5th row고객안내센터 앞
ValueCountFrequency (%)
방향 47
 
12.5%
44
 
11.7%
39
 
10.3%
역무실 24
 
6.4%
영남대방면 14
 
3.7%
설화명곡방면 14
 
3.7%
문양방면 13
 
3.4%
안심방면 12
 
3.2%
게이트 10
 
2.7%
고객안내센터 9
 
2.4%
Other values (77) 151
40.1%
2023-12-12T15:29:35.824293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
 
17.1%
111
 
8.0%
61
 
4.4%
- 51
 
3.7%
50
 
3.6%
50
 
3.6%
47
 
3.4%
44
 
3.2%
4 31
 
2.2%
29
 
2.1%
Other values (98) 676
48.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 924
66.6%
Space Separator 237
 
17.1%
Decimal Number 120
 
8.7%
Dash Punctuation 51
 
3.7%
Uppercase Letter 18
 
1.3%
Open Punctuation 14
 
1.0%
Close Punctuation 14
 
1.0%
Other Punctuation 9
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
111
 
12.0%
61
 
6.6%
50
 
5.4%
50
 
5.4%
47
 
5.1%
44
 
4.8%
29
 
3.1%
27
 
2.9%
26
 
2.8%
24
 
2.6%
Other values (83) 455
49.2%
Decimal Number
ValueCountFrequency (%)
4 31
25.8%
3 27
22.5%
2 25
20.8%
1 21
17.5%
5 12
 
10.0%
6 3
 
2.5%
9 1
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
E 9
50.0%
S 5
27.8%
L 4
22.2%
Space Separator
ValueCountFrequency (%)
237
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 924
66.6%
Common 445
32.1%
Latin 18
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
111
 
12.0%
61
 
6.6%
50
 
5.4%
50
 
5.4%
47
 
5.1%
44
 
4.8%
29
 
3.1%
27
 
2.9%
26
 
2.8%
24
 
2.6%
Other values (83) 455
49.2%
Common
ValueCountFrequency (%)
237
53.3%
- 51
 
11.5%
4 31
 
7.0%
3 27
 
6.1%
2 25
 
5.6%
1 21
 
4.7%
( 14
 
3.1%
) 14
 
3.1%
5 12
 
2.7%
/ 9
 
2.0%
Other values (2) 4
 
0.9%
Latin
ValueCountFrequency (%)
E 9
50.0%
S 5
27.8%
L 4
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 924
66.6%
ASCII 463
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
51.2%
- 51
 
11.0%
4 31
 
6.7%
3 27
 
5.8%
2 25
 
5.4%
1 21
 
4.5%
( 14
 
3.0%
) 14
 
3.0%
5 12
 
2.6%
E 9
 
1.9%
Other values (5) 22
 
4.8%
Hangul
ValueCountFrequency (%)
111
 
12.0%
61
 
6.6%
50
 
5.4%
50
 
5.4%
47
 
5.1%
44
 
4.8%
29
 
3.1%
27
 
2.9%
26
 
2.8%
24
 
2.6%
Other values (83) 455
49.2%

품명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
CU-SP1
125 
NT-180
 
7
HR-501-B
 
5
HR-501
 
3
NT-381C
 
1

Length

Max length8
Median length6
Mean length6.0780142
Min length6

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st rowCU-SP1
2nd rowCU-SP1
3rd rowCU-SP1
4th rowCU-SP1
5th rowNT-180

Common Values

ValueCountFrequency (%)
CU-SP1 125
88.7%
NT-180 7
 
5.0%
HR-501-B 5
 
3.5%
HR-501 3
 
2.1%
NT-381C 1
 
0.7%

Length

2023-12-12T15:29:36.002735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:36.164110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cu-sp1 125
88.7%
nt-180 7
 
5.0%
hr-501-b 5
 
3.5%
hr-501 3
 
2.1%
nt-381c 1
 
0.7%

제조사
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
씨유메디칼
125 
라디안큐바이오
 
8
오맥스
 
7
나눔테크
 
1

Length

Max length7
Median length5
Mean length5.0070922
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row씨유메디칼
2nd row씨유메디칼
3rd row씨유메디칼
4th row씨유메디칼
5th row오맥스

Common Values

ValueCountFrequency (%)
씨유메디칼 125
88.7%
라디안큐바이오 8
 
5.7%
오맥스 7
 
5.0%
나눔테크 1
 
0.7%

Length

2023-12-12T15:29:36.331847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:36.483858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
씨유메디칼 125
88.7%
라디안큐바이오 8
 
5.7%
오맥스 7
 
5.0%
나눔테크 1
 
0.7%

설치연도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.773
Minimum2016
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T15:29:36.596919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2016
5-th percentile2018
Q12020
median2020
Q32020
95-th percentile2020
Maximum2022
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8050625
Coefficient of variation (CV)0.00039859058
Kurtosis10.376587
Mean2019.773
Median Absolute Deviation (MAD)0
Skewness-3.0629496
Sum284788
Variance0.64812563
MonotonicityNot monotonic
2023-12-12T15:29:36.758443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2020 125
88.7%
2017 5
 
3.5%
2019 5
 
3.5%
2018 3
 
2.1%
2016 2
 
1.4%
2022 1
 
0.7%
ValueCountFrequency (%)
2016 2
 
1.4%
2017 5
 
3.5%
2018 3
 
2.1%
2019 5
 
3.5%
2020 125
88.7%
2022 1
 
0.7%
ValueCountFrequency (%)
2022 1
 
0.7%
2020 125
88.7%
2019 5
 
3.5%
2018 3
 
2.1%
2017 5
 
3.5%
2016 2
 
1.4%

관할보건소
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
달서구보건소
29 
수성구보건소
28 
동구보건소
23 
북구보건소
15 
중구보건소
14 
Other values (4)
32 

Length

Max length6
Median length6
Mean length5.5106383
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row달성군보건소
2nd row달성군보건소
3rd row달성군보건소
4th row달성군보건소
5th row달서구보건소

Common Values

ValueCountFrequency (%)
달서구보건소 29
20.6%
수성구보건소 28
19.9%
동구보건소 23
16.3%
북구보건소 15
10.6%
중구보건소 14
9.9%
남구보건소 13
9.2%
달성군보건소 9
 
6.4%
경산시보건소 6
 
4.3%
서구보건소 4
 
2.8%

Length

2023-12-12T15:29:36.947185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:29:37.115534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
달서구보건소 29
20.6%
수성구보건소 28
19.9%
동구보건소 23
16.3%
북구보건소 15
10.6%
중구보건소 14
9.9%
남구보건소 13
9.2%
달성군보건소 9
 
6.4%
경산시보건소 6
 
4.3%
서구보건소 4
 
2.8%
Distinct90
Distinct (%)63.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:29:37.428375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length27
Mean length22.198582
Min length16

Characters and Unicode

Total characters3130
Distinct characters103
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)27.7%

Sample

1st row대구 달성군 화원읍 비슬로 2476
2nd row대구 달성군 화원읍 비슬로 2476
3rd row대구 달성군 화원읍 비슬로 지하2600
4th row대구 달성군 화원읍 비슬로 지하2600
5th row대구 달서구 비슬로 지하2718 (대곡동)
ValueCountFrequency (%)
대구 135
 
20.0%
달구벌대로 45
 
6.7%
달서구 29
 
4.3%
수성구 26
 
3.8%
동구 23
 
3.4%
북구 15
 
2.2%
중구 14
 
2.1%
남구 13
 
1.9%
월배로 11
 
1.6%
대명동 10
 
1.5%
Other values (163) 355
52.5%
2023-12-12T15:29:37.977660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
539
17.2%
316
 
10.1%
227
 
7.3%
182
 
5.8%
140
 
4.5%
) 132
 
4.2%
( 132
 
4.2%
114
 
3.6%
110
 
3.5%
92
 
2.9%
Other values (93) 1146
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1862
59.5%
Space Separator 539
 
17.2%
Decimal Number 457
 
14.6%
Close Punctuation 132
 
4.2%
Open Punctuation 132
 
4.2%
Other Punctuation 6
 
0.2%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
316
17.0%
227
12.2%
182
 
9.8%
140
 
7.5%
114
 
6.1%
110
 
5.9%
92
 
4.9%
47
 
2.5%
46
 
2.5%
35
 
1.9%
Other values (78) 553
29.7%
Decimal Number
ValueCountFrequency (%)
1 81
17.7%
2 75
16.4%
0 73
16.0%
3 40
8.8%
6 38
8.3%
7 35
7.7%
4 35
7.7%
8 30
 
6.6%
5 27
 
5.9%
9 23
 
5.0%
Space Separator
ValueCountFrequency (%)
539
100.0%
Close Punctuation
ValueCountFrequency (%)
) 132
100.0%
Open Punctuation
ValueCountFrequency (%)
( 132
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1862
59.5%
Common 1268
40.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
316
17.0%
227
12.2%
182
 
9.8%
140
 
7.5%
114
 
6.1%
110
 
5.9%
92
 
4.9%
47
 
2.5%
46
 
2.5%
35
 
1.9%
Other values (78) 553
29.7%
Common
ValueCountFrequency (%)
539
42.5%
) 132
 
10.4%
( 132
 
10.4%
1 81
 
6.4%
2 75
 
5.9%
0 73
 
5.8%
3 40
 
3.2%
6 38
 
3.0%
7 35
 
2.8%
4 35
 
2.8%
Other values (5) 88
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1862
59.5%
ASCII 1268
40.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
539
42.5%
) 132
 
10.4%
( 132
 
10.4%
1 81
 
6.4%
2 75
 
5.9%
0 73
 
5.8%
3 40
 
3.2%
6 38
 
3.0%
7 35
 
2.8%
4 35
 
2.8%
Other values (5) 88
 
6.9%
Hangul
ValueCountFrequency (%)
316
17.0%
227
12.2%
182
 
9.8%
140
 
7.5%
114
 
6.1%
110
 
5.9%
92
 
4.9%
47
 
2.5%
46
 
2.5%
35
 
1.9%
Other values (78) 553
29.7%
Distinct66
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T15:29:38.303008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1692
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

Unique11 ?
Unique (%)7.8%

Sample

1st row053-643-2674
2nd row053-643-2674
3rd row053-643-5125
4th row053-643-5125
5th row053-644-7723
ValueCountFrequency (%)
053-640-7611 6
 
4.3%
053-640-7431 6
 
4.3%
053-640-7381 6
 
4.3%
053-640-7581 6
 
4.3%
053-640-7521 6
 
4.3%
053-553-3598 2
 
1.4%
053-556-0290 2
 
1.4%
053-655-1196 2
 
1.4%
053-656-6038 2
 
1.4%
053-628-3663 2
 
1.4%
Other values (56) 101
71.6%
2023-12-12T15:29:38.691197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 282
16.7%
5 238
14.1%
0 222
13.1%
3 204
12.1%
7 196
11.6%
6 142
8.4%
2 104
 
6.1%
1 86
 
5.1%
4 82
 
4.8%
8 79
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1410
83.3%
Dash Punctuation 282
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 238
16.9%
0 222
15.7%
3 204
14.5%
7 196
13.9%
6 142
10.1%
2 104
7.4%
1 86
 
6.1%
4 82
 
5.8%
8 79
 
5.6%
9 57
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 282
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1692
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 282
16.7%
5 238
14.1%
0 222
13.1%
3 204
12.1%
7 196
11.6%
6 142
8.4%
2 104
 
6.1%
1 86
 
5.1%
4 82
 
4.8%
8 79
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1692
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 282
16.7%
5 238
14.1%
0 222
13.1%
3 204
12.1%
7 196
11.6%
6 142
8.4%
2 104
 
6.1%
1 86
 
5.1%
4 82
 
4.8%
8 79
 
4.7%

Interactions

2023-12-12T15:29:33.104240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:29:38.843899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호선설치역설치층설치장소설치위치품명제조사설치연도관할보건소역주소역전화번호
호선1.0001.0000.8070.2450.9850.2700.1500.2720.9061.0001.000
설치역1.0001.0000.6700.0000.0000.0000.0000.0001.0001.0001.000
설치층0.8070.6701.0000.9190.9830.0950.0650.0000.4460.6440.767
설치장소0.2450.0000.9191.0001.0000.1830.3570.1660.1750.0000.000
설치위치0.9850.0000.9831.0001.0000.8800.7900.8400.8420.0000.865
품명0.2700.0000.0950.1830.8801.0001.0001.0000.0000.0000.000
제조사0.1500.0000.0650.3570.7901.0001.0001.0000.1260.0000.000
설치연도0.2720.0000.0000.1660.8401.0001.0001.0000.0000.0000.000
관할보건소0.9061.0000.4460.1750.8420.0000.1260.0001.0001.0000.992
역주소1.0001.0000.6440.0000.0000.0000.0000.0001.0001.0001.000
역전화번호1.0001.0000.7670.0000.8650.0000.0000.0000.9921.0001.000
2023-12-12T15:29:39.012519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호선제조사설치층관할보건소품명설치장소
호선1.0000.1400.7210.6320.2090.397
제조사0.1401.0000.0220.0770.9960.237
설치층0.7210.0221.0000.2350.0540.737
관할보건소0.6320.0770.2351.0000.0000.169
품명0.2090.9960.0540.0001.0000.221
설치장소0.3970.2370.7370.1690.2211.000
2023-12-12T15:29:39.151188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설치연도호선설치층설치장소품명제조사관할보건소
설치연도1.0000.1970.0000.2040.9960.9930.069
호선0.1971.0000.7210.3970.2090.1400.632
설치층0.0000.7211.0000.7370.0540.0220.235
설치장소0.2040.3970.7371.0000.2210.2370.169
품명0.9960.2090.0540.2211.0000.9960.000
제조사0.9930.1400.0220.2370.9961.0000.077
관할보건소0.0690.6320.2350.1690.0000.0771.000

Missing values

2023-12-12T15:29:33.237357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:29:33.425854image/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

호선설치역설치층설치장소설치위치품명제조사설치연도관할보건소역주소역전화번호
01설화명곡역지하2층대합실게이트 앞CU-SP1씨유메디칼2020달성군보건소대구 달성군 화원읍 비슬로 2476053-643-2674
11설화명곡역지하3층승강장안심방면 4-4 방향CU-SP1씨유메디칼2020달성군보건소대구 달성군 화원읍 비슬로 2476053-643-2674
21화원역지하1층대합실수유실앞CU-SP1씨유메디칼2020달성군보건소대구 달성군 화원읍 비슬로 지하2600053-643-5125
31화원역지하3층승강장안심방면 3-4 방향CU-SP1씨유메디칼2020달성군보건소대구 달성군 화원읍 비슬로 지하2600053-643-5125
41대곡역지하2층대합실고객안내센터 앞NT-180오맥스2017달서구보건소대구 달서구 비슬로 지하2718 (대곡동)053-644-7723
51대곡역지하3층승강장안심방면 2-3 방향CU-SP1씨유메디칼2020달서구보건소대구 달서구 비슬로 지하2718 (대곡동)053-644-7723
61진천역지하1층대합실고객안내센터 앞CU-SP1씨유메디칼2020달서구보건소대구 달서구 월배로 지하76 (진천동)053-642-7723
71진천역지하2층승강장안심방면 5-1 방향CU-SP1씨유메디칼2020달서구보건소대구 달서구 월배로 지하76 (진천동)053-642-7723
81월배역지하1층대합실고객안내센터 앞CU-SP1씨유메디칼2020달서구보건소대구 달서구 월배로 지하143 (진천동)053-642-7732
91월배역지하2층승강장안심방면 2-2 방향CU-SP1씨유메디칼2020달서구보건소대구 달서구 월배로 지하143 (진천동)053-642-7732
호선설치역설치층설치장소설치위치품명제조사설치연도관할보건소역주소역전화번호
1313건들바위역지상2층대합실남자장애인화장실 앞CU-SP1씨유메디칼2020남구보건소대구 남구 명덕로 260(이천동)053-640-7581
1323대봉교역지상2층대합실남자장애인화장실 앞CU-SP1씨유메디칼2020남구보건소대구 남구 명덕로 330(이천동)053-640-7581
1333수성시장역지상2층대합실남자장애인화장실 앞CU-SP1씨유메디칼2020수성구보건소대구 수성구 명덕로 420(수성동2가)053-640-7581
1343수성구민운동장역지상2층대합실E/S 6호기 옆HR-501-B라디안큐바이오2019수성구보건소대구 수성구 동대구로 248(범어동)053-640-7581
1353어린이회관역지상2층대합실화장실 앞CU-SP1씨유메디칼2020수성구보건소대구 수성구 동대구로 166(황금동)053-640-7611
1363황금역지상2층대합실남자장애인화장실 앞CU-SP1씨유메디칼2020수성구보건소대구 수성구 동대구로 100(두산동)053-640-7611
1373수성못역지상2층대합실사회복무요원 대기실 앞HR-501-B라디안큐바이오2019수성구보건소대구 수성구 동대구로 14(지산동)053-640-7611
1383지산역지상2층대합실남자장애인화장실 옆CU-SP1씨유메디칼2020수성구보건소대구 수성구 지범로 100(지산동)053-640-7611
1393범물역지상2층대합실게이트 옆CU-SP1씨유메디칼2020수성구보건소대구 수성구 지범로 194(범물동)053-640-7611
1403용지역지상2층대합실여자장애인화장실 옆CU-SP1씨유메디칼2020수성구보건소대구 수성구 범안로 83(범물동)053-640-7611