Overview

Dataset statistics

Number of variables6
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory55.8 B

Variable types

Numeric5
Categorical1

Dataset

Description부산교통공사_열차운행실적_20221231
Author부산교통공사
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3057438

Alerts

계획(횟수) is highly overall correlated with 실적(횟수) and 3 other fieldsHigh correlation
실적(횟수) is highly overall correlated with 계획(횟수) and 3 other fieldsHigh correlation
계획(운행거리Km) is highly overall correlated with 계획(횟수) and 3 other fieldsHigh correlation
실적(운행거리Km) is highly overall correlated with 계획(횟수) and 3 other fieldsHigh correlation
호선별 is highly overall correlated with 계획(횟수) and 3 other fieldsHigh correlation
계획(횟수) has unique valuesUnique
실적(횟수) has unique valuesUnique
계획(운행거리Km) has unique valuesUnique
실적(운행거리Km) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:15:12.233561
Analysis finished2023-12-10 16:15:15.085179
Duration2.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

월별
Real number (ℝ)

Distinct12
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T01:15:15.150544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13.75
median6.5
Q39.25
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4885832
Coefficient of variation (CV)0.53670511
Kurtosis-1.2175129
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum312
Variance12.170213
MonotonicityIncreasing
2023-12-11T01:15:15.264791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 4
8.3%
2 4
8.3%
3 4
8.3%
4 4
8.3%
5 4
8.3%
6 4
8.3%
7 4
8.3%
8 4
8.3%
9 4
8.3%
10 4
8.3%
Other values (2) 8
16.7%
ValueCountFrequency (%)
1 4
8.3%
2 4
8.3%
3 4
8.3%
4 4
8.3%
5 4
8.3%
6 4
8.3%
7 4
8.3%
8 4
8.3%
9 4
8.3%
10 4
8.3%
ValueCountFrequency (%)
12 4
8.3%
11 4
8.3%
10 4
8.3%
9 4
8.3%
8 4
8.3%
7 4
8.3%
6 4
8.3%
5 4
8.3%
4 4
8.3%
3 4
8.3%

호선별
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size516.0 B
1호선
12 
2호선
12 
3호선
12 
4호선
12 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1호선
2nd row2호선
3rd row3호선
4th row4호선
5th row1호선

Common Values

ValueCountFrequency (%)
1호선 12
25.0%
2호선 12
25.0%
3호선 12
25.0%
4호선 12
25.0%

Length

2023-12-11T01:15:15.400925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:15:15.501733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1호선 12
25.0%
2호선 12
25.0%
3호선 12
25.0%
4호선 12
25.0%

계획(횟수)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9984.6875
Minimum8324
Maximum11207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T01:15:15.619617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8324
5-th percentile9040.3
Q19360.5
median9712
Q310712.25
95-th percentile11117.75
Maximum11207
Range2883
Interquartile range (IQR)1351.75

Descriptive statistics

Standard deviation780.98375
Coefficient of variation (CV)0.078218147
Kurtosis-1.211095
Mean9984.6875
Median Absolute Deviation (MAD)635
Skewness-0.0048689907
Sum479265
Variance609935.62
MonotonicityNot monotonic
2023-12-11T01:15:15.772172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
10952 1
 
2.1%
10686 1
 
2.1%
9380 1
 
2.1%
11144 1
 
2.1%
10708 1
 
2.1%
9660 1
 
2.1%
9394 1
 
2.1%
10725 1
 
2.1%
10278 1
 
2.1%
9288 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
8324 1
2.1%
8556 1
2.1%
9034 1
2.1%
9052 1
2.1%
9102 1
2.1%
9116 1
2.1%
9210 1
2.1%
9288 1
2.1%
9304 1
2.1%
9316 1
2.1%
ValueCountFrequency (%)
11207 1
2.1%
11144 1
2.1%
11123 1
2.1%
11108 1
2.1%
11060 1
2.1%
11051 1
2.1%
10952 1
2.1%
10812 1
2.1%
10794 1
2.1%
10791 1
2.1%

실적(횟수)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9982.7292
Minimum8324
Maximum11207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T01:15:15.999655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8324
5-th percentile9040.3
Q19360.5
median9712
Q310712.25
95-th percentile11117.75
Maximum11207
Range2883
Interquartile range (IQR)1351.75

Descriptive statistics

Standard deviation779.80155
Coefficient of variation (CV)0.078115066
Kurtosis-1.2014616
Mean9982.7292
Median Absolute Deviation (MAD)635
Skewness0.00016304312
Sum479171
Variance608090.46
MonotonicityNot monotonic
2023-12-11T01:15:16.156528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
10952 1
 
2.1%
10686 1
 
2.1%
9380 1
 
2.1%
11144 1
 
2.1%
10708 1
 
2.1%
9660 1
 
2.1%
9394 1
 
2.1%
10725 1
 
2.1%
10278 1
 
2.1%
9288 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
8324 1
2.1%
8556 1
2.1%
9034 1
2.1%
9052 1
2.1%
9102 1
2.1%
9116 1
2.1%
9210 1
2.1%
9288 1
2.1%
9304 1
2.1%
9316 1
2.1%
ValueCountFrequency (%)
11207 1
2.1%
11144 1
2.1%
11123 1
2.1%
11108 1
2.1%
11060 1
2.1%
11051 1
2.1%
10952 1
2.1%
10812 1
2.1%
10794 1
2.1%
10791 1
2.1%

계획(운행거리Km)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286370.51
Minimum99888
Maximum459822.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T01:15:16.307029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99888
5-th percentile108834
Q1144527.7
median278991.2
Q3429976.8
95-th percentile455058.56
Maximum459822.2
Range359934.2
Interquartile range (IQR)285449.1

Descriptive statistics

Standard deviation149735.89
Coefficient of variation (CV)0.5228747
Kurtosis-1.9642775
Mean286370.51
Median Absolute Deviation (MAD)151594.8
Skewness-0.041307478
Sum13745785
Variance2.2420838 × 1010
MonotonicityNot monotonic
2023-12-11T01:15:16.751483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
421940.4 1
 
2.1%
455459.8 1
 
2.1%
112560.0 1
 
2.1%
429367.6 1
 
2.1%
456431.8 1
 
2.1%
174846.0 1
 
2.1%
112728.0 1
 
2.1%
413327.8 1
 
2.1%
438069.2 1
 
2.1%
168112.8 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
99888.0 1
2.1%
108408.0 1
2.1%
108624.0 1
2.1%
109224.0 1
2.1%
109392.0 1
2.1%
110520.0 1
2.1%
111792.0 1
2.1%
112080.0 1
2.1%
112344.0 1
2.1%
112560.0 1
2.1%
ValueCountFrequency (%)
459822.2 1
2.1%
456431.8 1
2.1%
455459.8 1
2.1%
454313.4 1
2.1%
452143.8 1
2.1%
451799.0 1
2.1%
447059.0 1
2.1%
442876.4 1
2.1%
442192.4 1
2.1%
439215.6 1
2.1%

실적(운행거리Km)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286265.24
Minimum99888
Maximum459822.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-11T01:15:16.942849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99888
5-th percentile108834
Q1144527.7
median278991.2
Q3429976.8
95-th percentile455058.56
Maximum459822.2
Range359934.2
Interquartile range (IQR)285449.1

Descriptive statistics

Standard deviation149621.65
Coefficient of variation (CV)0.52266788
Kurtosis-1.9645496
Mean286265.24
Median Absolute Deviation (MAD)151594.8
Skewness-0.041740954
Sum13740732
Variance2.2386637 × 1010
MonotonicityNot monotonic
2023-12-11T01:15:17.198141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
421940.4 1
 
2.1%
455459.8 1
 
2.1%
112560.0 1
 
2.1%
429367.6 1
 
2.1%
456143.8 1
 
2.1%
174846.0 1
 
2.1%
112728.0 1
 
2.1%
413327.8 1
 
2.1%
438069.2 1
 
2.1%
168112.8 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
99888.0 1
2.1%
108408.0 1
2.1%
108624.0 1
2.1%
109224.0 1
2.1%
109392.0 1
2.1%
110520.0 1
2.1%
111792.0 1
2.1%
112080.0 1
2.1%
112344.0 1
2.1%
112560.0 1
2.1%
ValueCountFrequency (%)
459822.2 1
2.1%
456143.8 1
2.1%
455459.8 1
2.1%
454313.4 1
2.1%
452143.8 1
2.1%
451779.0 1
2.1%
442876.4 1
2.1%
442313.9 1
2.1%
442192.4 1
2.1%
439215.6 1
2.1%

Interactions

2023-12-11T01:15:14.321437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:12.437220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:12.869737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:13.316151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:13.824815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:14.402821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:12.526314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:12.968802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:13.421011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:13.910649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:14.486398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:12.607725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:13.051419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:13.526028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:14.013828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:14.569231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:12.685053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:13.128914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:13.630492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:14.105229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:14.679292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:12.768431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:13.214192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:13.731242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:15:14.217419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:15:17.362821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월별호선별계획(횟수)실적(횟수)계획(운행거리Km)실적(운행거리Km)
월별1.0000.0000.0000.0000.0000.000
호선별0.0001.0000.8740.8740.9420.942
계획(횟수)0.0000.8741.0001.0000.9320.932
실적(횟수)0.0000.8741.0001.0000.9320.932
계획(운행거리Km)0.0000.9420.9320.9321.0001.000
실적(운행거리Km)0.0000.9420.9320.9321.0001.000
2023-12-11T01:15:17.509353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월별계획(횟수)실적(횟수)계획(운행거리Km)실적(운행거리Km)호선별
월별1.0000.1590.1630.1090.1130.000
계획(횟수)0.1591.0001.0000.8410.8410.717
실적(횟수)0.1631.0001.0000.8410.8410.717
계획(운행거리Km)0.1090.8410.8411.0001.0000.821
실적(운행거리Km)0.1130.8410.8411.0001.0000.821
호선별0.0000.7170.7170.8210.8211.000

Missing values

2023-12-11T01:15:14.854798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:15:15.041951image/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

월별호선별계획(횟수)실적(횟수)계획(운행거리Km)실적(운행거리Km)
011호선1095210952421940.4421940.4
112호선1049210398447059.0442313.9
213호선94689468171370.8171370.8
314호선92109210110520.0110520.0
421호선98969896381254.0381254.0
522호선94849484404138.4404138.4
623호선85568556154863.6154863.6
724호선8324832499888.099888.0
831호선1106011060426132.8426132.8
932호선1061210612452143.8452143.8
월별호선별계획(횟수)실적(횟수)계획(운행거리Km)실적(운행거리Km)
38103호선95689568173180.8173180.8
39104호선93169316111792.0111792.0
40111호선1081210812416525.6416525.6
41112호선1040010400442876.4442876.4
42113호선93769376169705.6169705.6
43114호선91169116109392.0109392.0
44121호선1120711207431804.4431804.4
45122호선1079410794459822.2459822.2
46123호선97649764176728.4176728.4
47124호선94609460113520.0113520.0