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_20200526
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 90 (77.6%) zerosZeros

Reproduction

Analysis started2023-12-10 17:37:19.311515
Analysis finished2023-12-10 17:37:25.332887
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

2023-12-11T02:37:25.491046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:37:25.723695image/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
2023-12-11T02:37:26.325501image/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%
2023-12-11T02:37:27.258251image/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 

Distinct12
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4137931
Minimum0
Maximum24
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:27.530367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q16
median8
Q310
95-th percentile18
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.399741
Coefficient of variation (CV)0.46737176
Kurtosis1.3025146
Mean9.4137931
Median Absolute Deviation (MAD)2
Skewness1.0671897
Sum1092
Variance19.357721
MonotonicityNot monotonic
2023-12-11T02:37:27.797013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
8 32
27.6%
10 26
22.4%
6 17
14.7%
4 14
12.1%
14 9
 
7.8%
18 5
 
4.3%
16 5
 
4.3%
15 3
 
2.6%
23 2
 
1.7%
24 1
 
0.9%
Other values (2) 2
 
1.7%
ValueCountFrequency (%)
0 1
 
0.9%
4 14
12.1%
6 17
14.7%
7 1
 
0.9%
8 32
27.6%
10 26
22.4%
14 9
 
7.8%
15 3
 
2.6%
16 5
 
4.3%
18 5
 
4.3%
ValueCountFrequency (%)
24 1
 
0.9%
23 2
 
1.7%
18 5
 
4.3%
16 5
 
4.3%
15 3
 
2.6%
14 9
 
7.8%
10 26
22.4%
8 32
27.6%
7 1
 
0.9%
6 17
14.7%

대합실,기능실
Real number (ℝ)

Distinct20
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3275862
Minimum0
Maximum24
Zeros1
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:28.130219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q16.75
median9
Q311
95-th percentile16.25
Maximum24
Range24
Interquartile range (IQR)4.25

Descriptive statistics

Standard deviation4.0060299
Coefficient of variation (CV)0.42948195
Kurtosis3.0881147
Mean9.3275862
Median Absolute Deviation (MAD)2
Skewness1.2819109
Sum1082
Variance16.048276
MonotonicityNot monotonic
2023-12-11T02:37:28.408484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
6 19
16.4%
8 18
15.5%
9 17
14.7%
10 14
12.1%
7 7
 
6.0%
13 7
 
6.0%
12 6
 
5.2%
11 5
 
4.3%
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 19
16.4%
7 7
 
6.0%
8 18
15.5%
9 17
14.7%
10 14
12.1%
11 5
 
4.3%
ValueCountFrequency (%)
24 2
 
1.7%
23 1
 
0.9%
19 1
 
0.9%
18 1
 
0.9%
17 1
 
0.9%
16 1
 
0.9%
15 3
2.6%
14 3
2.6%
13 7
6.0%
12 6
5.2%

역무자동설비
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0603448
Minimum0
Maximum12
Zeros4
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:28.678460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q37
95-th percentile10
Maximum12
Range12
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.2966471
Coefficient of variation (CV)0.3789631
Kurtosis0.57930252
Mean6.0603448
Median Absolute Deviation (MAD)1
Skewness-0.49145341
Sum703
Variance5.2745877
MonotonicityNot monotonic
2023-12-11T02:37:28.954258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
7 37
31.9%
6 22
19.0%
3 14
 
12.1%
5 10
 
8.6%
8 10
 
8.6%
10 5
 
4.3%
9 5
 
4.3%
4 4
 
3.4%
0 4
 
3.4%
2 3
 
2.6%
Other values (2) 2
 
1.7%
ValueCountFrequency (%)
0 4
 
3.4%
2 3
 
2.6%
3 14
 
12.1%
4 4
 
3.4%
5 10
 
8.6%
6 22
19.0%
7 37
31.9%
8 10
 
8.6%
9 5
 
4.3%
10 5
 
4.3%
ValueCountFrequency (%)
12 1
 
0.9%
11 1
 
0.9%
10 5
 
4.3%
9 5
 
4.3%
8 10
 
8.6%
7 37
31.9%
6 22
19.0%
5 10
 
8.6%
4 4
 
3.4%
3 14
 
12.1%

편의설비
Real number (ℝ)

ZEROS 

Distinct34
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.637931
Minimum0
Maximum46
Zeros2
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:29.215087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112.75
median16.5
Q322
95-th percentile39.25
Maximum46
Range46
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation9.7306299
Coefficient of variation (CV)0.52208745
Kurtosis0.89436155
Mean18.637931
Median Absolute Deviation (MAD)4.5
Skewness0.96787589
Sum2162
Variance94.685157
MonotonicityNot monotonic
2023-12-11T02:37:29.485102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
12 10
 
8.6%
16 8
 
6.9%
15 7
 
6.0%
14 7
 
6.0%
13 7
 
6.0%
18 6
 
5.2%
17 6
 
5.2%
22 5
 
4.3%
6 5
 
4.3%
19 5
 
4.3%
Other values (24) 50
43.1%
ValueCountFrequency (%)
0 2
 
1.7%
3 2
 
1.7%
6 5
4.3%
7 1
 
0.9%
8 2
 
1.7%
9 2
 
1.7%
10 2
 
1.7%
11 3
 
2.6%
12 10
8.6%
13 7
6.0%
ValueCountFrequency (%)
46 1
 
0.9%
45 2
1.7%
44 1
 
0.9%
43 1
 
0.9%
40 1
 
0.9%
39 3
2.6%
33 2
1.7%
32 1
 
0.9%
31 3
2.6%
30 4
3.4%

기타
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6637931
Minimum0
Maximum237
Zeros90
Zeros (%)77.6%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T02:37:29.744853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5.25
Maximum237
Range237
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.916054
Coefficient of variation (CV)6.200115
Kurtosis55.794632
Mean4.6637931
Median Absolute Deviation (MAD)0
Skewness7.4868052
Sum541
Variance836.13816
MonotonicityNot monotonic
2023-12-11T02:37:29.968117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 90
77.6%
2 9
 
7.8%
3 4
 
3.4%
4 3
 
2.6%
1 3
 
2.6%
13 1
 
0.9%
204 1
 
0.9%
21 1
 
0.9%
5 1
 
0.9%
10 1
 
0.9%
Other values (2) 2
 
1.7%
ValueCountFrequency (%)
0 90
77.6%
1 3
 
2.6%
2 9
 
7.8%
3 4
 
3.4%
4 3
 
2.6%
5 1
 
0.9%
6 1
 
0.9%
10 1
 
0.9%
13 1
 
0.9%
21 1
 
0.9%
ValueCountFrequency (%)
237 1
 
0.9%
204 1
 
0.9%
21 1
 
0.9%
13 1
 
0.9%
10 1
 
0.9%
6 1
 
0.9%
5 1
 
0.9%
4 3
 
2.6%
3 4
3.4%
2 9
7.8%

Interactions

2023-12-11T02:37:23.845774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:19.836504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:20.851174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:21.846932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:22.859756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:24.080790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:20.058270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:21.051900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:22.051913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:23.031016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:24.286627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:20.274995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:21.255782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:22.275806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:23.203256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:24.498378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:20.464700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:21.480468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:22.463094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:23.398790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:24.685329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:20.676638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:21.676888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:22.662905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:37:23.593403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:37:30.131528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
호선승강장대합실,기능실역무자동설비편의설비기타
호선1.0000.9590.3350.6480.0000.116
승강장0.9591.0000.6600.5590.4600.263
대합실,기능실0.3350.6601.0000.6180.6300.618
역무자동설비0.6480.5590.6181.0000.6280.356
편의설비0.0000.4600.6300.6281.0000.461
기타0.1160.2630.6180.3560.4611.000
2023-12-11T02:37:30.335679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
승강장대합실,기능실역무자동설비편의설비기타호선
승강장1.0000.0290.424-0.126-0.1830.918
대합실,기능실0.0291.0000.1110.4480.0870.201
역무자동설비0.4240.1111.0000.014-0.1790.447
편의설비-0.1260.4480.0141.000-0.0380.000
기타-0.1830.087-0.179-0.0381.0000.108
호선0.9180.2010.4470.0000.1081.000

Missing values

2023-12-11T02:37:24.967569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:37:25.238347image/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
11다대포항14106432
21낫개18186452
31신장림1495320
41장림1096312
51동매10126450
61신평101451213
71하단10135160
81당리1087150
91사하1067120
호선역사승강장대합실,기능실역무자동설비편의설비기타
1064명장493300
1074서동493300
1084금사4103232
1094반여농산물시장4106156
1104석대48270
1114영산대4113170
1124동부산대학483170
1134고촌483150
1144안평483152
1154안평기지6200237