Overview

Dataset statistics

Number of variables9
Number of observations50
Missing cells5
Missing cells (%)1.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory80.6 B

Variable types

Categorical3
Text1
Numeric5

Dataset

Description파일 다운로드
Author서울교통공사
URLhttps://data.seoul.go.kr/dataList/OA-13213/F/1/datasetView.do

Alerts

단위 is highly overall correlated with 설비명 and 1 other fieldsHigh correlation
설비명 is highly overall correlated with 계 and 6 other fieldsHigh correlation
본사 is highly overall correlated with 계 and 6 other fieldsHigh correlation
계 is highly overall correlated with 1호선 and 5 other fieldsHigh correlation
1호선 is highly overall correlated with 계 and 5 other fieldsHigh correlation
2호선 is highly overall correlated with 계 and 5 other fieldsHigh correlation
3호선 is highly overall correlated with 계 and 5 other fieldsHigh correlation
4호선 is highly overall correlated with 계 and 5 other fieldsHigh correlation
본사 is highly imbalanced (78.9%)Imbalance
1호선 has 2 (4.0%) missing valuesMissing
2호선 has 2 (4.0%) missing valuesMissing
3호선 has 1 (2.0%) missing valuesMissing

Reproduction

Analysis started2024-04-29 16:44:06.549040
Analysis finished2024-04-29 16:44:09.476257
Duration2.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설비명
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)42.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
광전송설비
7 
지능형 통합모니터링 시스템
6 
통합정보통신망
4 
케이블
4 
열차정보 안내 시스템
4 
Other values (16)
25 

Length

Max length14
Median length8
Mean length6.42
Min length3

Unique

Unique10 ?
Unique (%)20.0%

Sample

1st row통합정보통신망
2nd row통합정보통신망
3rd row통합정보통신망
4th row통합정보통신망
5th row지능형 통합모니터링 시스템

Common Values

ValueCountFrequency (%)
광전송설비 7
14.0%
지능형 통합모니터링 시스템 6
12.0%
통합정보통신망 4
 
8.0%
케이블 4
 
8.0%
열차정보 안내 시스템 4
 
8.0%
열차무선 4
 
8.0%
호출통화장치 3
 
6.0%
전자교환기 2
 
4.0%
방송장치 2
 
4.0%
토크백 2
 
4.0%
Other values (11) 12
24.0%

Length

2024-04-30T01:44:09.536382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시스템 11
15.1%
광전송설비 7
 
9.6%
통합모니터링 6
 
8.2%
지능형 6
 
8.2%
통합정보통신망 4
 
5.5%
케이블 4
 
5.5%
열차정보 4
 
5.5%
안내 4
 
5.5%
열차무선 4
 
5.5%
호출통화장치 3
 
4.1%
Other values (16) 20
27.4%

설비명.1
Text

Distinct42
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-30T01:44:09.715622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9.5
Mean length4.74
Min length2

Characters and Unicode

Total characters237
Distinct characters103
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)76.0%

Sample

1st row백본스위치
2nd row에지스위치
3rd row워크그룹스위치
4th rowIP관리에이젼트
5th row종합 시스템
ValueCountFrequency (%)
각종 4
 
7.1%
자장치 3
 
5.4%
주장치 3
 
5.4%
시스템 3
 
5.4%
역사용 2
 
3.6%
승강장통화장치 1
 
1.8%
모(부모시계 1
 
1.8%
기지용 1
 
1.8%
배선반 1
 
1.8%
열차무선안테나 1
 
1.8%
Other values (36) 36
64.3%
2024-04-30T01:44:10.000826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 12
 
5.1%
치 12
 
5.1%
M 8
 
3.4%
6
 
2.5%
시 6
 
2.5%
스 6
 
2.5%
기 5
 
2.1%
S 5
 
2.1%
종 5
 
2.1%
용 5
 
2.1%
Other values (93) 167
70.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 172
72.6%
Uppercase Letter 37
 
15.6%
Decimal Number 7
 
3.0%
Space Separator 6
 
2.5%
Lowercase Letter 6
 
2.5%
Dash Punctuation 4
 
1.7%
Open Punctuation 2
 
0.8%
Close Punctuation 2
 
0.8%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 12
 
7.0%
치 12
 
7.0%
시 6
 
3.5%
스 6
 
3.5%
기 5
 
2.9%
종 5
 
2.9%
용 5
 
2.9%
자 5
 
2.9%
선 4
 
2.3%
통 4
 
2.3%
Other values (64) 108
62.8%
Uppercase Letter
ValueCountFrequency (%)
M 8
21.6%
S 5
13.5%
A 3
 
8.1%
D 3
 
8.1%
P 3
 
8.1%
C 2
 
5.4%
X 2
 
5.4%
I 2
 
5.4%
E 2
 
5.4%
R 2
 
5.4%
Other values (5) 5
13.5%
Lowercase Letter
ValueCountFrequency (%)
p 2
33.3%
e 1
16.7%
c 1
16.7%
o 1
16.7%
r 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
2 2
28.6%
0 1
 
14.3%
6 1
 
14.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 172
72.6%
Latin 43
 
18.1%
Common 22
 
9.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 12
 
7.0%
치 12
 
7.0%
시 6
 
3.5%
스 6
 
3.5%
기 5
 
2.9%
종 5
 
2.9%
용 5
 
2.9%
자 5
 
2.9%
선 4
 
2.3%
통 4
 
2.3%
Other values (64) 108
62.8%
Latin
ValueCountFrequency (%)
M 8
18.6%
S 5
11.6%
A 3
 
7.0%
D 3
 
7.0%
P 3
 
7.0%
C 2
 
4.7%
p 2
 
4.7%
X 2
 
4.7%
I 2
 
4.7%
E 2
 
4.7%
Other values (10) 11
25.6%
Common
ValueCountFrequency (%)
6
27.3%
- 4
18.2%
1 3
13.6%
( 2
 
9.1%
) 2
 
9.1%
2 2
 
9.1%
/ 1
 
4.5%
0 1
 
4.5%
6 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 172
72.6%
ASCII 65
 
27.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 12
 
7.0%
치 12
 
7.0%
시 6
 
3.5%
스 6
 
3.5%
기 5
 
2.9%
종 5
 
2.9%
용 5
 
2.9%
자 5
 
2.9%
선 4
 
2.3%
통 4
 
2.3%
Other values (64) 108
62.8%
ASCII
ValueCountFrequency (%)
M 8
 
12.3%
6
 
9.2%
S 5
 
7.7%
- 4
 
6.2%
1 3
 
4.6%
A 3
 
4.6%
D 3
 
4.6%
P 3
 
4.6%
( 2
 
3.1%
C 2
 
3.1%
Other values (19) 26
40.0%

단위
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
식
24 
대
15 
Km
4 
조
4 
장치
 
2

Length

Max length2
Median length1
Mean length1.12
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
식 24
48.0%
대 15
30.0%
Km 4
 
8.0%
조 4
 
8.0%
장치 2
 
4.0%
개 1
 
2.0%

Length

2024-04-30T01:44:10.114424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:44:10.209484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식 24
48.0%
대 15
30.0%
km 4
 
8.0%
조 4
 
8.0%
장치 2
 
4.0%
개 1
 
2.0%

계
Real number (ℝ)

HIGH CORRELATION 

Distinct46
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean744.5
Minimum4
Maximum13580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-30T01:44:10.324181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.45
Q138.5
median129.5
Q3504.5
95-th percentile3118.3
Maximum13580
Range13576
Interquartile range (IQR)466

Descriptive statistics

Standard deviation2127.9069
Coefficient of variation (CV)2.8581691
Kurtosis28.433089
Mean744.5
Median Absolute Deviation (MAD)118.5
Skewness5.0715487
Sum37225
Variance4527987.7
MonotonicityNot monotonic
2024-04-30T01:44:10.448245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
14 2
 
4.0%
7 2
 
4.0%
8 2
 
4.0%
11 2
 
4.0%
22 1
 
2.0%
25 1
 
2.0%
38 1
 
2.0%
437 1
 
2.0%
197 1
 
2.0%
101 1
 
2.0%
Other values (36) 36
72.0%
ValueCountFrequency (%)
4 1
2.0%
7 2
4.0%
8 2
4.0%
11 2
4.0%
14 2
4.0%
22 1
2.0%
25 1
2.0%
27 1
2.0%
38 1
2.0%
40 1
2.0%
ValueCountFrequency (%)
13580 1
2.0%
6129 1
2.0%
4030 1
2.0%
2004 1
2.0%
1413 1
2.0%
1184 1
2.0%
725 1
2.0%
720 1
2.0%
675 1
2.0%
650 1
2.0%

1호선
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct29
Distinct (%)60.4%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean71.5125
Minimum1
Maximum1099
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-30T01:44:10.566386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q15
median10
Q339.25
95-th percentile423.05
Maximum1099
Range1098
Interquartile range (IQR)34.25

Descriptive statistics

Standard deviation193.04319
Coefficient of variation (CV)2.6994328
Kurtosis18.805496
Mean71.5125
Median Absolute Deviation (MAD)9
Skewness4.1988911
Sum3432.6
Variance37265.673
MonotonicityNot monotonic
2024-04-30T01:44:10.673151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
10.0 9
18.0%
1.0 6
 
12.0%
5.0 4
 
8.0%
2.0 3
 
6.0%
11.0 2
 
4.0%
12.0 1
 
2.0%
9.6 1
 
2.0%
48.0 1
 
2.0%
60.0 1
 
2.0%
40.0 1
 
2.0%
Other values (19) 19
38.0%
(Missing) 2
 
4.0%
ValueCountFrequency (%)
1.0 6
12.0%
2.0 3
 
6.0%
4.0 1
 
2.0%
5.0 4
8.0%
7.0 1
 
2.0%
9.6 1
 
2.0%
10.0 9
18.0%
11.0 2
 
4.0%
12.0 1
 
2.0%
15.0 1
 
2.0%
ValueCountFrequency (%)
1099.0 1
2.0%
630.0 1
2.0%
548.0 1
2.0%
191.0 1
2.0%
139.0 1
2.0%
98.0 1
2.0%
72.0 1
2.0%
60.0 1
2.0%
52.0 1
2.0%
49.0 1
2.0%

2호선
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct40
Distinct (%)83.3%
Missing2
Missing (%)4.0%
Infinite0
Infinite (%)0.0%
Mean312.60625
Minimum1
Maximum5578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-30T01:44:10.769538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.35
Q112.25
median56
Q3222.325
95-th percentile1058.5
Maximum5578
Range5577
Interquartile range (IQR)210.075

Descriptive statistics

Standard deviation880.14519
Coefficient of variation (CV)2.8155073
Kurtosis28.797092
Mean312.60625
Median Absolute Deviation (MAD)53
Skewness5.1194064
Sum15005.1
Variance774655.55
MonotonicityNot monotonic
2024-04-30T01:44:10.878978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3.0 4
 
8.0%
6.0 3
 
6.0%
2.0 2
 
4.0%
13.0 2
 
4.0%
50.0 2
 
4.0%
58.0 1
 
2.0%
175.0 1
 
2.0%
831.0 1
 
2.0%
230.0 1
 
2.0%
1.0 1
 
2.0%
Other values (30) 30
60.0%
(Missing) 2
 
4.0%
ValueCountFrequency (%)
1.0 1
 
2.0%
2.0 2
4.0%
3.0 4
8.0%
5.0 1
 
2.0%
6.0 3
6.0%
10.0 1
 
2.0%
13.0 2
4.0%
17.0 1
 
2.0%
23.0 1
 
2.0%
31.0 1
 
2.0%
ValueCountFrequency (%)
5578.0 1
2.0%
2544.0 1
2.0%
1181.0 1
2.0%
831.0 1
2.0%
640.0 1
2.0%
470.0 1
2.0%
439.0 1
2.0%
302.0 1
2.0%
292.0 1
2.0%
266.0 1
2.0%

3호선
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct37
Distinct (%)75.5%
Missing1
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean209.41449
Minimum1
Maximum3820
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-30T01:44:10.987196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q112
median37
Q3146
95-th percentile900.8
Maximum3820
Range3819
Interquartile range (IQR)134

Descriptive statistics

Standard deviation604.21407
Coefficient of variation (CV)2.8852544
Kurtosis27.991992
Mean209.41449
Median Absolute Deviation (MAD)34
Skewness5.0481531
Sum10261.31
Variance365074.65
MonotonicityNot monotonic
2024-04-30T01:44:11.122910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1.0 5
 
10.0%
35.0 3
 
6.0%
34.0 3
 
6.0%
4.0 2
 
4.0%
12.0 2
 
4.0%
207.0 2
 
4.0%
37.0 2
 
4.0%
110.0 1
 
2.0%
65.39 1
 
2.0%
55.14 1
 
2.0%
Other values (27) 27
54.0%
ValueCountFrequency (%)
1.0 5
10.0%
2.0 1
 
2.0%
3.0 1
 
2.0%
4.0 2
 
4.0%
8.0 1
 
2.0%
10.0 1
 
2.0%
12.0 2
 
4.0%
13.0 1
 
2.0%
19.0 1
 
2.0%
31.0 1
 
2.0%
ValueCountFrequency (%)
3820.0 1
2.0%
1708.0 1
2.0%
1220.0 1
2.0%
422.0 1
2.0%
345.0 1
2.0%
294.0 1
2.0%
207.0 2
4.0%
173.0 1
2.0%
172.0 1
2.0%
151.6 1
2.0%

4호선
Real number (ℝ)

HIGH CORRELATION 

Distinct37
Distinct (%)74.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.961
Minimum1
Maximum3083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-30T01:44:11.240449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q19
median28
Q3102.25
95-th percentile801.45
Maximum3083
Range3082
Interquartile range (IQR)93.25

Descriptive statistics

Standard deviation483.70478
Coefficient of variation (CV)2.8459751
Kurtosis28.089576
Mean169.961
Median Absolute Deviation (MAD)25
Skewness5.021571
Sum8498.05
Variance233970.32
MonotonicityNot monotonic
2024-04-30T01:44:11.343536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
26.0 4
 
8.0%
3.0 4
 
8.0%
9.0 3
 
6.0%
2.0 2
 
4.0%
1.0 2
 
4.0%
27.0 2
 
4.0%
28.0 2
 
4.0%
4.0 2
 
4.0%
45.54 1
 
2.0%
34.02 1
 
2.0%
Other values (27) 27
54.0%
ValueCountFrequency (%)
1.0 2
4.0%
2.0 2
4.0%
3.0 4
8.0%
4.0 2
4.0%
6.0 1
 
2.0%
9.0 3
6.0%
10.0 1
 
2.0%
16.0 1
 
2.0%
23.0 1
 
2.0%
24.0 1
 
2.0%
ValueCountFrequency (%)
3083.0 1
2.0%
1314.0 1
2.0%
999.0 1
2.0%
560.0 1
2.0%
340.0 1
2.0%
261.0 1
2.0%
169.0 1
2.0%
156.0 1
2.0%
141.0 1
2.0%
140.0 1
2.0%

본사
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
<NA>
47 
15
 
1
10
 
1
3
 
1

Length

Max length4
Median length4
Mean length3.86
Min length1

Unique

Unique3 ?
Unique (%)6.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 47
94.0%
15 1
 
2.0%
10 1
 
2.0%
3 1
 
2.0%

Length

2024-04-30T01:44:11.450597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T01:44:11.561517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
94.0%
15 1
 
2.0%
10 1
 
2.0%
3 1
 
2.0%

Interactions

2024-04-30T01:44:08.523941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:06.954769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.393423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.750570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:08.137251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:08.602657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.050531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.468798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.829580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:08.222756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:08.687548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.129838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.534156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.900716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:08.300820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:08.778745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.215688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.601943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.976462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:08.375189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:09.099496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.316583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:07.679313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:08.059534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T01:44:08.453058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T01:44:11.643888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
설비명설비명.1단위계1호선2호선3호선4호선본사
설비명1.0000.0000.9360.8980.8930.8930.9400.898NaN
설비명.10.0001.0000.0000.0000.0000.0000.0000.0001.000
단위0.9360.0001.0000.6120.6070.6070.5930.612NaN
계0.8980.0000.6121.0001.0001.0000.9981.0001.000
1호선0.8930.0000.6071.0001.0001.0000.9981.0001.000
2호선0.8930.0000.6071.0001.0001.0000.9981.0001.000
3호선0.9400.0000.5930.9980.9980.9981.0000.9981.000
4호선0.8980.0000.6121.0001.0001.0000.9981.0001.000
본사NaN1.000NaN1.0001.0001.0001.0001.0001.000
2024-04-30T01:44:11.754813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단위설비명본사
단위1.0000.6151.000
설비명0.6151.0001.000
본사1.0001.0001.000
2024-04-30T01:44:11.846480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계1호선2호선3호선4호선설비명단위본사
계1.0000.9500.9750.9850.9880.5640.4651.000
1호선0.9501.0000.9370.9580.9370.5470.4601.000
2호선0.9750.9371.0000.9310.9420.5470.4601.000
3호선0.9850.9580.9311.0000.9930.6360.4461.000
4호선0.9880.9370.9420.9931.0000.5640.4651.000
설비명0.5640.5470.5470.6360.5641.0000.6151.000
단위0.4650.4600.4600.4460.4650.6151.0001.000
본사1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-04-30T01:44:09.201893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T01:44:09.307581image/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.
2024-04-30T01:44:09.420499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

설비명설비명.1단위계1호선2호선3호선4호선본사
0통합정보통신망백본스위치식222.010.04.06.0<NA>
1통합정보통신망에지스위치식25120.0105.070.056.0<NA>
2통합정보통신망워크그룹스위치식72052.0292.0207.0169.0<NA>
3통합정보통신망IP관리에이젼트식12711.054.035.027.0<NA>
4지능형 통합모니터링 시스템종합 시스템식12110.051.034.026.0<NA>
5지능형 통합모니터링 시스템망관리 시스템식142.05.04.03.0<NA>
6지능형 통합모니터링 시스템EMS식13212.055.037.028.0<NA>
7지능형 통합모니터링 시스템카메라대6129548.02544.01708.01314.015
8지능형 통합모니터링 시스템모니터대118498.0470.0345.0261.010
9지능형 통합모니터링 시스템DVR대57249.0206.0173.0141.03
설비명설비명.1단위계1호선2호선3호선4호선본사
40호출통화장치자장치대1413139.0640.0294.0340.0<NA>
41호출통화장치승강장통화장치식65072.0266.0172.0140.0<NA>
42연선전화연선전화대51838.0230.0146.0104.0<NA>
43음성유도기음성유도기대2004191.0831.0422.0560.0<NA>
44화장실 자동 음향기기화장실 자동 음향기기대41240.0175.0100.097.0<NA>
45사내방송 시스템사내방송 시스템조12910.058.034.027.0<NA>
46열차정보 안내 시스템중앙제어장치식41.01.01.01.0<NA>
47열차정보 안내 시스템역제어장치식12310.052.035.026.0<NA>
48열차정보 안내 시스템승강장표시반조72560.0302.0207.0156.0<NA>
49열차정보 안내 시스템대합실/환승통로 표시반조67548.0439.0103.085.0<NA>