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_20211231
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 88 (75.9%) zerosZeros

Reproduction

Analysis started2023-12-10 17:36:51.171444
Analysis finished2023-12-10 17:36:57.191056
Duration6.02 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

2023-12-11T02:36:57.379579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:36:57.621272image/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
2023-12-11T02:36:58.241973image/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%
2023-12-11T02:36:59.261792image/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
2023-12-11T02:37:00.126162image/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
2023-12-11T02:37:00.397476image/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)

Distinct19
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4310345
Minimum0
Maximum24
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:00.693117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q17
median9
Q311
95-th percentile17.25
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.0865083
Coefficient of variation (CV)0.43330436
Kurtosis2.7557637
Mean9.4310345
Median Absolute Deviation (MAD)2
Skewness1.2461879
Sum1094
Variance16.69955
MonotonicityNot monotonic
2023-12-11T02:37:00.982478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9 22
19.0%
6 17
14.7%
10 14
12.1%
8 14
12.1%
7 7
 
6.0%
11 6
 
5.2%
13 6
 
5.2%
5 5
 
4.3%
12 5
 
4.3%
14 4
 
3.4%
Other values (9) 16
13.8%
ValueCountFrequency (%)
0 1
 
0.9%
2 2
 
1.7%
4 3
 
2.6%
5 5
 
4.3%
6 17
14.7%
7 7
 
6.0%
8 14
12.1%
9 22
19.0%
10 14
12.1%
11 6
 
5.2%
ValueCountFrequency (%)
24 2
 
1.7%
23 1
 
0.9%
19 1
 
0.9%
18 2
 
1.7%
17 2
 
1.7%
16 2
 
1.7%
14 4
3.4%
13 6
5.2%
12 5
4.3%
11 6
5.2%

역무자동설비
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.7931034
Minimum0
Maximum11
Zeros4
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:01.234732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median6
Q37
95-th percentile9
Maximum11
Range11
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2477708
Coefficient of variation (CV)0.38800806
Kurtosis0.31066536
Mean5.7931034
Median Absolute Deviation (MAD)1
Skewness-0.33994983
Sum672
Variance5.0524738
MonotonicityNot monotonic
2023-12-11T02:37:01.485986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
7 25
21.6%
5 22
19.0%
6 21
18.1%
3 15
12.9%
8 11
9.5%
9 6
 
5.2%
4 4
 
3.4%
0 4
 
3.4%
2 3
 
2.6%
10 3
 
2.6%
ValueCountFrequency (%)
0 4
 
3.4%
2 3
 
2.6%
3 15
12.9%
4 4
 
3.4%
5 22
19.0%
6 21
18.1%
7 25
21.6%
8 11
9.5%
9 6
 
5.2%
10 3
 
2.6%
ValueCountFrequency (%)
11 2
 
1.7%
10 3
 
2.6%
9 6
 
5.2%
8 11
9.5%
7 25
21.6%
6 21
18.1%
5 22
19.0%
4 4
 
3.4%
3 15
12.9%
2 3
 
2.6%

편의설비
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.87931
Minimum0
Maximum47
Zeros2
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:01.760957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q113
median17
Q322
95-th percentile39
Maximum47
Range47
Interquartile range (IQR)9

Descriptive statistics

Standard deviation9.7963216
Coefficient of variation (CV)0.51889192
Kurtosis0.82896686
Mean18.87931
Median Absolute Deviation (MAD)5
Skewness0.90592972
Sum2190
Variance95.967916
MonotonicityNot monotonic
2023-12-11T02:37:02.029562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
17 9
 
7.8%
12 8
 
6.9%
14 8
 
6.9%
16 6
 
5.2%
20 6
 
5.2%
18 6
 
5.2%
19 5
 
4.3%
15 5
 
4.3%
30 5
 
4.3%
22 5
 
4.3%
Other values (24) 53
45.7%
ValueCountFrequency (%)
0 2
 
1.7%
3 2
 
1.7%
5 1
 
0.9%
6 4
3.4%
7 1
 
0.9%
8 3
 
2.6%
9 1
 
0.9%
10 4
3.4%
11 2
 
1.7%
12 8
6.9%
ValueCountFrequency (%)
47 1
 
0.9%
46 2
 
1.7%
43 1
 
0.9%
42 1
 
0.9%
39 3
2.6%
37 2
 
1.7%
33 1
 
0.9%
32 2
 
1.7%
31 2
 
1.7%
30 5
4.3%

기타
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.0517241
Minimum0
Maximum276
Zeros88
Zeros (%)75.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:02.299212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.25
Maximum276
Range276
Interquartile range (IQR)0

Descriptive statistics

Standard deviation31.735824
Coefficient of variation (CV)6.2821767
Kurtosis59.745949
Mean5.0517241
Median Absolute Deviation (MAD)0
Skewness7.6846917
Sum586
Variance1007.1625
MonotonicityNot monotonic
2023-12-11T02:37:02.574916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 88
75.9%
2 9
 
7.8%
3 5
 
4.3%
1 4
 
3.4%
4 3
 
2.6%
13 1
 
0.9%
204 1
 
0.9%
23 1
 
0.9%
5 1
 
0.9%
10 1
 
0.9%
Other values (2) 2
 
1.7%
ValueCountFrequency (%)
0 88
75.9%
1 4
 
3.4%
2 9
 
7.8%
3 5
 
4.3%
4 3
 
2.6%
5 1
 
0.9%
6 1
 
0.9%
10 1
 
0.9%
13 1
 
0.9%
23 1
 
0.9%
ValueCountFrequency (%)
276 1
 
0.9%
204 1
 
0.9%
23 1
 
0.9%
13 1
 
0.9%
10 1
 
0.9%
6 1
 
0.9%
5 1
 
0.9%
4 3
 
2.6%
3 5
4.3%
2 9
7.8%

Interactions

2023-12-11T02:36:55.562919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:51.711838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:52.778235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:53.677755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:54.620853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:55.799123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:51.949008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:52.975476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:53.860069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:54.821311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:56.058955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:52.182782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:53.166104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:54.082046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:55.011969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:56.295605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:52.382856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:53.349720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:54.257782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:55.203195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:56.477168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:52.571783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:53.534687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:54.432199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:36:55.375336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:37:02.854186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호선승강장대합실,기능실역무자동설비편의설비기타
호선1.0000.9630.3290.6140.0000.116
승강장0.9631.0000.5510.5420.3930.000
대합실,기능실0.3290.5511.0000.6210.6270.619
역무자동설비0.6140.5420.6211.0000.5460.390
편의설비0.0000.3930.6270.5461.0000.461
기타0.1160.0000.6190.3900.4611.000
2023-12-11T02:37:03.192352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승강장대합실,기능실역무자동설비편의설비기타호선
승강장1.0000.0590.394-0.061-0.2150.927
대합실,기능실0.0591.0000.2280.4730.1020.187
역무자동설비0.3940.2281.0000.073-0.1770.404
편의설비-0.0610.4730.0731.000-0.0770.000
기타-0.2150.102-0.177-0.0771.0000.108
호선0.9270.1870.4040.0000.1081.000

Missing values

2023-12-11T02:36:56.754838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:36:57.032816image/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
51동매10106470
61신평101371213
71하단10165200
81당리1065170
91사하1065120
호선역사승강장대합실,기능실역무자동설비편의설비기타
1064명장493300
1074서동493300
1084금사4103233
1094반여농산물시장4106156
1104석대48271
1114영산대4113170
1124동부산대학483170
1134고촌483150
1144안평483152
1154안평기지6200276