Overview

Dataset statistics

Number of variables7
Number of observations116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory63.1 B

Variable types

Categorical1
Text1
Numeric5

Dataset

Description부산교통공사_CCTV카메라설치현황_20210525
Author부산교통공사
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3046976

Alerts

승강장 is highly overall correlated with 호선High correlation
호선 is highly overall correlated with 승강장High correlation
역무자동설비 has 4 (3.4%) zerosZeros
편의설비 has 2 (1.7%) zerosZeros
기타 has 89 (76.7%) zerosZeros

Reproduction

Analysis started2023-12-10 17:37:05.148312
Analysis finished2023-12-10 17:37:11.812373
Duration6.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

호선
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2
43 
1
40 
3
18 
4
15 

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 (%)
2 43
37.1%
1 40
34.5%
3 18
15.5%
4 15
 
12.9%

Length

2023-12-11T02:37:12.039108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:37:12.317635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 43
37.1%
1 40
34.5%
3 18
15.5%
4 15
 
12.9%

역사
Text

Distinct110
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T02:37:12.986645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length2
Mean length2.5517241
Min length2

Characters and Unicode

Total characters296
Distinct characters132
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

Unique104 ?
Unique (%)89.7%

Sample

1st row다대포해수욕장
2nd row다대포항
3rd row낫개
4th row신장림
5th row장림
ValueCountFrequency (%)
연산 2
 
1.7%
수영 2
 
1.7%
동래 2
 
1.7%
덕천 2
 
1.7%
서면 2
 
1.7%
미남 2
 
1.7%
호포 1
 
0.9%
화명 1
 
0.9%
율리 1
 
0.9%
동원 1
 
0.9%
Other values (100) 100
86.2%
2023-12-11T02:37:13.971000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 19
 
6.4%
대 18
 
6.1%
동 11
 
3.7%
부 9
 
3.0%
장 9
 
3.0%
남 8
 
2.7%
포 7
 
2.4%
사 6
 
2.0%
서 6
 
2.0%
구 5
 
1.7%
Other values (122) 198
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 295
99.7%
Uppercase Letter 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 19
 
6.4%
대 18
 
6.1%
동 11
 
3.7%
부 9
 
3.1%
장 9
 
3.1%
남 8
 
2.7%
포 7
 
2.4%
사 6
 
2.0%
서 6
 
2.0%
구 5
 
1.7%
Other values (121) 197
66.8%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 295
99.7%
Latin 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 19
 
6.4%
대 18
 
6.1%
동 11
 
3.7%
부 9
 
3.1%
장 9
 
3.1%
남 8
 
2.7%
포 7
 
2.4%
사 6
 
2.0%
서 6
 
2.0%
구 5
 
1.7%
Other values (121) 197
66.8%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 295
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 19
 
6.4%
대 18
 
6.1%
동 11
 
3.7%
부 9
 
3.1%
장 9
 
3.1%
남 8
 
2.7%
포 7
 
2.4%
사 6
 
2.0%
서 6
 
2.0%
구 5
 
1.7%
Other values (121) 197
66.8%
ASCII
ValueCountFrequency (%)
C 1
100.0%

승강장
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0517241
Minimum0
Maximum18
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:14.222873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median8
Q310
95-th percentile18
Maximum18
Range18
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.7851996
Coefficient of variation (CV)0.41817443
Kurtosis0.44227958
Mean9.0517241
Median Absolute Deviation (MAD)2
Skewness0.74042811
Sum1050
Variance14.327736
MonotonicityNot monotonic
2023-12-11T02:37:14.472385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
10 31
26.7%
8 31
26.7%
6 17
14.7%
4 14
12.1%
14 9
 
7.8%
18 8
 
6.9%
15 2
 
1.7%
11 1
 
0.9%
16 1
 
0.9%
7 1
 
0.9%
ValueCountFrequency (%)
0 1
 
0.9%
4 14
12.1%
6 17
14.7%
7 1
 
0.9%
8 31
26.7%
10 31
26.7%
11 1
 
0.9%
14 9
 
7.8%
15 2
 
1.7%
16 1
 
0.9%
ValueCountFrequency (%)
18 8
 
6.9%
16 1
 
0.9%
15 2
 
1.7%
14 9
 
7.8%
11 1
 
0.9%
10 31
26.7%
8 31
26.7%
7 1
 
0.9%
6 17
14.7%
4 14
12.1%

대합실,기능실
Real number (ℝ)

Distinct20
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.612069
Minimum0
Maximum24
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:14.716585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q17
median9
Q312
95-th percentile18
Maximum24
Range24
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.1405136
Coefficient of variation (CV)0.43076196
Kurtosis2.3989367
Mean9.612069
Median Absolute Deviation (MAD)2
Skewness1.1540406
Sum1115
Variance17.143853
MonotonicityNot monotonic
2023-12-11T02:37:14.953366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9 19
16.4%
8 17
14.7%
6 16
13.8%
10 10
8.6%
12 10
8.6%
13 8
6.9%
7 7
 
6.0%
11 6
 
5.2%
5 4
 
3.4%
4 3
 
2.6%
Other values (10) 16
13.8%
ValueCountFrequency (%)
0 1
 
0.9%
2 2
 
1.7%
4 3
 
2.6%
5 4
 
3.4%
6 16
13.8%
7 7
 
6.0%
8 17
14.7%
9 19
16.4%
10 10
8.6%
11 6
 
5.2%
ValueCountFrequency (%)
24 2
 
1.7%
23 1
 
0.9%
19 2
 
1.7%
18 2
 
1.7%
17 1
 
0.9%
16 2
 
1.7%
15 1
 
0.9%
14 2
 
1.7%
13 8
6.9%
12 10
8.6%

역무자동설비
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0603448
Minimum0
Maximum11
Zeros4
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:15.179338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q37
95-th percentile10
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2699887
Coefficient of variation (CV)0.37456428
Kurtosis0.50987643
Mean6.0603448
Median Absolute Deviation (MAD)1
Skewness-0.58875232
Sum703
Variance5.1528486
MonotonicityNot monotonic
2023-12-11T02:37:15.406238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7 39
33.6%
6 20
17.2%
3 14
 
12.1%
8 11
 
9.5%
5 10
 
8.6%
10 5
 
4.3%
9 4
 
3.4%
4 4
 
3.4%
0 4
 
3.4%
2 3
 
2.6%
ValueCountFrequency (%)
0 4
 
3.4%
2 3
 
2.6%
3 14
 
12.1%
4 4
 
3.4%
5 10
 
8.6%
6 20
17.2%
7 39
33.6%
8 11
 
9.5%
9 4
 
3.4%
10 5
 
4.3%
ValueCountFrequency (%)
11 2
 
1.7%
10 5
 
4.3%
9 4
 
3.4%
8 11
 
9.5%
7 39
33.6%
6 20
17.2%
5 10
 
8.6%
4 4
 
3.4%
3 14
 
12.1%
2 3
 
2.6%

편의설비
Real number (ℝ)

ZEROS 

Distinct35
Distinct (%)30.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.543103
Minimum0
Maximum46
Zeros2
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:15.626896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112.75
median17
Q322
95-th percentile37.5
Maximum46
Range46
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation9.6218883
Coefficient of variation (CV)0.51889309
Kurtosis0.70954577
Mean18.543103
Median Absolute Deviation (MAD)5
Skewness0.88485405
Sum2151
Variance92.580735
MonotonicityNot monotonic
2023-12-11T02:37:15.883037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
12 9
 
7.8%
14 8
 
6.9%
17 7
 
6.0%
16 7
 
6.0%
15 7
 
6.0%
18 6
 
5.2%
13 6
 
5.2%
22 5
 
4.3%
19 5
 
4.3%
30 5
 
4.3%
Other values (25) 51
44.0%
ValueCountFrequency (%)
0 2
 
1.7%
3 2
 
1.7%
5 1
 
0.9%
6 5
4.3%
7 1
 
0.9%
8 2
 
1.7%
9 1
 
0.9%
10 3
 
2.6%
11 3
 
2.6%
12 9
7.8%
ValueCountFrequency (%)
46 1
 
0.9%
45 1
 
0.9%
44 1
 
0.9%
43 1
 
0.9%
40 1
 
0.9%
39 1
 
0.9%
37 4
3.4%
33 1
 
0.9%
32 1
 
0.9%
31 3
2.6%

기타
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0775862
Minimum0
Maximum271
Zeros89
Zeros (%)76.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:16.136292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile7
Maximum271
Range271
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.3763
Coefficient of variation (CV)6.1793731
Kurtosis58.991651
Mean5.0775862
Median Absolute Deviation (MAD)0
Skewness7.6398429
Sum589
Variance984.47219
MonotonicityNot monotonic
2023-12-11T02:37:16.378374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 89
76.7%
2 8
 
6.9%
3 4
 
3.4%
1 4
 
3.4%
4 3
 
2.6%
13 2
 
1.7%
204 1
 
0.9%
23 1
 
0.9%
5 1
 
0.9%
10 1
 
0.9%
Other values (2) 2
 
1.7%
ValueCountFrequency (%)
0 89
76.7%
1 4
 
3.4%
2 8
 
6.9%
3 4
 
3.4%
4 3
 
2.6%
5 1
 
0.9%
6 1
 
0.9%
10 1
 
0.9%
13 2
 
1.7%
23 1
 
0.9%
ValueCountFrequency (%)
271 1
 
0.9%
204 1
 
0.9%
23 1
 
0.9%
13 2
 
1.7%
10 1
 
0.9%
6 1
 
0.9%
5 1
 
0.9%
4 3
 
2.6%
3 4
3.4%
2 8
6.9%

Interactions

2023-12-11T02:37:10.262236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:05.748562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:07.001231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:07.993849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:09.110853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:10.519089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:05.993067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:07.220006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:08.234928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:09.322177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:10.723897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:06.252801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:07.396081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:08.434859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:09.490152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:10.918786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:06.482268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:07.583329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:08.666671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:09.769615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:11.094949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:06.762445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:07.766013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:08.920879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:10.025773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:37:17.180117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호선승강장대합실,기능실역무자동설비편의설비기타
호선1.0000.9630.3680.6550.0400.116
승강장0.9631.0000.5710.5420.3280.000
대합실,기능실0.3680.5711.0000.6000.6050.622
역무자동설비0.6550.5420.6001.0000.4930.370
편의설비0.0400.3280.6050.4931.0000.461
기타0.1160.0000.6220.3700.4611.000
2023-12-11T02:37:17.430046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승강장대합실,기능실역무자동설비편의설비기타호선
승강장1.0000.0700.418-0.081-0.2000.927
대합실,기능실0.0701.0000.1670.4320.1060.192
역무자동설비0.4180.1671.000-0.005-0.2100.443
편의설비-0.0810.432-0.0051.000-0.0590.000
기타-0.2000.106-0.210-0.0591.0000.108
호선0.9270.1920.4430.0000.1081.000

Missing values

2023-12-11T02:37:11.401854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:37:11.691546image/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

호선역사승강장대합실,기능실역무자동설비편의설비기타
01다대포해수욕장10245393
11다대포항14126432
21낫개18186372
31신장림1495320
41장림1096312
51동매10126450
61신평101371213
71하단10165160
81당리1087150
91사하1067120
호선역사승강장대합실,기능실역무자동설비편의설비기타
1064명장493300
1074서동493300
1084금사4103233
1094반여농산물시장4106156
1104석대48271
1114영산대4113170
1124동부산대학483170
1134고촌483150
1144안평483152
1154안평기지6200271