Overview

Dataset statistics

Number of variables11
Number of observations314
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.2 KiB
Average record size in memory98.4 B

Variable types

Text1
Numeric10

Dataset

Description부산광역시_시내버스,마을버스노선별이용건수_20211231
Author부산광역시
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15095329

Alerts

건수(1통행)_일반 is highly overall correlated with 건수(1통행)_청소년 and 8 other fieldsHigh correlation
건수(1통행)_청소년 is highly overall correlated with 건수(1통행)_일반 and 8 other fieldsHigh correlation
건수(1통행)_어린이 is highly overall correlated with 건수(1통행)_일반 and 8 other fieldsHigh correlation
건수(2통행)_일반 is highly overall correlated with 건수(1통행)_일반 and 8 other fieldsHigh correlation
건수(2통행)_청소년 is highly overall correlated with 건수(1통행)_일반 and 8 other fieldsHigh correlation
건수(2통행)_어린이 is highly overall correlated with 건수(1통행)_일반 and 8 other fieldsHigh correlation
건수(3통행)_일반 is highly overall correlated with 건수(1통행)_일반 and 8 other fieldsHigh correlation
건수(3통행)_청소년 is highly overall correlated with 건수(1통행)_일반 and 8 other fieldsHigh correlation
건수(3통행)_어린이 is highly overall correlated with 건수(1통행)_일반 and 8 other fieldsHigh correlation
교통카드건수합계 is highly overall correlated with 건수(1통행)_일반 and 8 other fieldsHigh correlation
노선 has unique valuesUnique
건수(1통행)_일반 has unique valuesUnique
건수(1통행)_어린이 has 9 (2.9%) zerosZeros
건수(2통행)_일반 has 4 (1.3%) zerosZeros
건수(2통행)_청소년 has 12 (3.8%) zerosZeros
건수(2통행)_어린이 has 20 (6.4%) zerosZeros
건수(3통행)_일반 has 4 (1.3%) zerosZeros
건수(3통행)_청소년 has 16 (5.1%) zerosZeros
건수(3통행)_어린이 has 27 (8.6%) zerosZeros

Reproduction

Analysis started2023-12-10 16:13:57.944794
Analysis finished2023-12-10 16:14:15.413731
Duration17.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노선
Text

UNIQUE 

Distinct314
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-11T01:14:15.783726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length4.0700637
Min length1

Characters and Unicode

Total characters1278
Distinct characters85
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

Unique314 ?
Unique (%)100.0%

Sample

1st row1
2nd row10
3rd row100
4th row100-1
5th row1000
ValueCountFrequency (%)
1 1
 
0.3%
기장군11 1
 
0.3%
기장군7(예림 1
 
0.3%
기장군7(병산 1
 
0.3%
기장군6(등하교 1
 
0.3%
기장군6 1
 
0.3%
기장군5(월평 1
 
0.3%
남구6 1
 
0.3%
기장군2-3 1
 
0.3%
기장군10(신명 1
 
0.3%
Other values (305) 305
96.8%
2023-12-11T01:14:16.449180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 190
 
14.9%
125
 
9.8%
2 73
 
5.7%
0 66
 
5.2%
3 60
 
4.7%
8 58
 
4.5%
- 57
 
4.5%
5 46
 
3.6%
6 38
 
3.0%
9 37
 
2.9%
Other values (75) 528
41.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 626
49.0%
Other Letter 551
43.1%
Dash Punctuation 57
 
4.5%
Open Punctuation 12
 
0.9%
Close Punctuation 12
 
0.9%
Lowercase Letter 10
 
0.8%
Uppercase Letter 8
 
0.6%
Space Separator 1
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
125
22.7%
33
 
6.0%
33
 
6.0%
33
 
6.0%
25
 
4.5%
25
 
4.5%
19
 
3.4%
16
 
2.9%
16
 
2.9%
14
 
2.5%
Other values (52) 212
38.5%
Decimal Number
ValueCountFrequency (%)
1 190
30.4%
2 73
 
11.7%
0 66
 
10.5%
3 60
 
9.6%
8 58
 
9.3%
5 46
 
7.3%
6 38
 
6.1%
9 37
 
5.9%
7 37
 
5.9%
4 21
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
a 4
40.0%
n 4
40.0%
e 1
 
10.0%
b 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
J 4
50.0%
A 2
25.0%
F 1
 
12.5%
B 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 709
55.5%
Hangul 551
43.1%
Latin 18
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
125
22.7%
33
 
6.0%
33
 
6.0%
33
 
6.0%
25
 
4.5%
25
 
4.5%
19
 
3.4%
16
 
2.9%
16
 
2.9%
14
 
2.5%
Other values (52) 212
38.5%
Common
ValueCountFrequency (%)
1 190
26.8%
2 73
 
10.3%
0 66
 
9.3%
3 60
 
8.5%
8 58
 
8.2%
- 57
 
8.0%
5 46
 
6.5%
6 38
 
5.4%
9 37
 
5.2%
7 37
 
5.2%
Other values (5) 47
 
6.6%
Latin
ValueCountFrequency (%)
a 4
22.2%
n 4
22.2%
J 4
22.2%
A 2
11.1%
e 1
 
5.6%
b 1
 
5.6%
F 1
 
5.6%
B 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 727
56.9%
Hangul 551
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 190
26.1%
2 73
 
10.0%
0 66
 
9.1%
3 60
 
8.3%
8 58
 
8.0%
- 57
 
7.8%
5 46
 
6.3%
6 38
 
5.2%
9 37
 
5.1%
7 37
 
5.1%
Other values (13) 65
 
8.9%
Hangul
ValueCountFrequency (%)
125
22.7%
33
 
6.0%
33
 
6.0%
33
 
6.0%
25
 
4.5%
25
 
4.5%
19
 
3.4%
16
 
2.9%
16
 
2.9%
14
 
2.5%
Other values (52) 212
38.5%

건수(1통행)_일반
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct314
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean860475.99
Minimum2
Maximum4426636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T01:14:16.668229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile807.25
Q1108396.5
median380375
Q31332771.2
95-th percentile3049697.4
Maximum4426636
Range4426634
Interquartile range (IQR)1224374.8

Descriptive statistics

Standard deviation1038631.8
Coefficient of variation (CV)1.2070433
Kurtosis1.1804493
Mean860475.99
Median Absolute Deviation (MAD)353614.5
Skewness1.4290373
Sum2.7018946 × 108
Variance1.078756 × 1012
MonotonicityNot monotonic
2023-12-11T01:14:16.882179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12095 1
 
0.3%
11344 1
 
0.3%
497027 1
 
0.3%
838602 1
 
0.3%
3398 1
 
0.3%
4022 1
 
0.3%
256 1
 
0.3%
2 1
 
0.3%
97796 1
 
0.3%
3 1
 
0.3%
Other values (304) 304
96.8%
ValueCountFrequency (%)
2 1
0.3%
3 1
0.3%
4 1
0.3%
9 1
0.3%
35 1
0.3%
52 1
0.3%
54 1
0.3%
61 1
0.3%
77 1
0.3%
87 1
0.3%
ValueCountFrequency (%)
4426636 1
0.3%
4275326 1
0.3%
4193995 1
0.3%
4098977 1
0.3%
3862927 1
0.3%
3809939 1
0.3%
3695034 1
0.3%
3673707 1
0.3%
3589753 1
0.3%
3528170 1
0.3%

건수(1통행)_청소년
Real number (ℝ)

HIGH CORRELATION 

Distinct308
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71011.933
Minimum0
Maximum494514
Zeros3
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T01:14:17.090014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.9
Q15329.5
median31509
Q3110815.75
95-th percentile269535.95
Maximum494514
Range494514
Interquartile range (IQR)105486.25

Descriptive statistics

Standard deviation91732.447
Coefficient of variation (CV)1.2917892
Kurtosis3.0204625
Mean71011.933
Median Absolute Deviation (MAD)30335.5
Skewness1.7698273
Sum22297747
Variance8.4148419 × 109
MonotonicityNot monotonic
2023-12-11T01:14:17.306988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3
 
1.0%
0 3
 
1.0%
10 2
 
0.6%
4941 2
 
0.6%
13 1
 
0.3%
535 1
 
0.3%
6 1
 
0.3%
9 1
 
0.3%
68 1
 
0.3%
568 1
 
0.3%
Other values (298) 298
94.9%
ValueCountFrequency (%)
0 3
1.0%
1 3
1.0%
2 1
 
0.3%
3 1
 
0.3%
6 1
 
0.3%
9 1
 
0.3%
10 2
0.6%
12 1
 
0.3%
13 1
 
0.3%
14 1
 
0.3%
ValueCountFrequency (%)
494514 1
0.3%
406182 1
0.3%
396823 1
0.3%
372519 1
0.3%
372047 1
0.3%
358162 1
0.3%
346771 1
0.3%
342246 1
0.3%
330762 1
0.3%
327234 1
0.3%

건수(1통행)_어린이
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct299
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12901.29
Minimum0
Maximum96578
Zeros9
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T01:14:17.489340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.3
Q11153.5
median6917.5
Q318921
95-th percentile45341.9
Maximum96578
Range96578
Interquartile range (IQR)17767.5

Descriptive statistics

Standard deviation15430.381
Coefficient of variation (CV)1.1960339
Kurtosis3.6527488
Mean12901.29
Median Absolute Deviation (MAD)6785.5
Skewness1.7500994
Sum4051005
Variance2.3809664 × 108
MonotonicityNot monotonic
2023-12-11T01:14:17.723028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9
 
2.9%
3 3
 
1.0%
1 3
 
1.0%
4997 2
 
0.6%
48 2
 
0.6%
28 2
 
0.6%
15190 1
 
0.3%
18837 1
 
0.3%
12713 1
 
0.3%
26563 1
 
0.3%
Other values (289) 289
92.0%
ValueCountFrequency (%)
0 9
2.9%
1 3
 
1.0%
2 1
 
0.3%
3 3
 
1.0%
5 1
 
0.3%
7 1
 
0.3%
11 1
 
0.3%
15 1
 
0.3%
19 1
 
0.3%
28 2
 
0.6%
ValueCountFrequency (%)
96578 1
0.3%
65743 1
0.3%
63252 1
0.3%
62736 1
0.3%
60503 1
0.3%
58430 1
0.3%
58084 1
0.3%
57628 1
0.3%
57051 1
0.3%
53869 1
0.3%

건수(2통행)_일반
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct311
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249369.27
Minimum0
Maximum1432412
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T01:14:17.955542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile214.85
Q134686.75
median123159
Q3374931.75
95-th percentile853661.6
Maximum1432412
Range1432412
Interquartile range (IQR)340245

Descriptive statistics

Standard deviation297490.86
Coefficient of variation (CV)1.1929732
Kurtosis2.0956006
Mean249369.27
Median Absolute Deviation (MAD)110520.5
Skewness1.5792122
Sum78301951
Variance8.8500813 × 1010
MonotonicityNot monotonic
2023-12-11T01:14:18.190051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
1.3%
3913 1
 
0.3%
1998 1
 
0.3%
255690 1
 
0.3%
119415 1
 
0.3%
280679 1
 
0.3%
218 1
 
0.3%
593 1
 
0.3%
209 1
 
0.3%
13243 1
 
0.3%
Other values (301) 301
95.9%
ValueCountFrequency (%)
0 4
1.3%
2 1
 
0.3%
3 1
 
0.3%
5 1
 
0.3%
13 1
 
0.3%
14 1
 
0.3%
15 1
 
0.3%
23 1
 
0.3%
41 1
 
0.3%
42 1
 
0.3%
ValueCountFrequency (%)
1432412 1
0.3%
1332074 1
0.3%
1276876 1
0.3%
1245614 1
0.3%
1209537 1
0.3%
1188554 1
0.3%
1123688 1
0.3%
1084172 1
0.3%
1055109 1
0.3%
1048204 1
0.3%

건수(2통행)_청소년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct296
Distinct (%)94.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12975.5
Minimum0
Maximum69256
Zeros12
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T01:14:18.413268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.65
Q11321.75
median6820
Q320780.75
95-th percentile42345.85
Maximum69256
Range69256
Interquartile range (IQR)19459

Descriptive statistics

Standard deviation14819.95
Coefficient of variation (CV)1.1421487
Kurtosis1.3109011
Mean12975.5
Median Absolute Deviation (MAD)6525.5
Skewness1.365078
Sum4074307
Variance2.1963093 × 108
MonotonicityNot monotonic
2023-12-11T01:14:18.598634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12
 
3.8%
5 3
 
1.0%
12 2
 
0.6%
3221 2
 
0.6%
1 2
 
0.6%
85 2
 
0.6%
6 2
 
0.6%
10 1
 
0.3%
14 1
 
0.3%
14253 1
 
0.3%
Other values (286) 286
91.1%
ValueCountFrequency (%)
0 12
3.8%
1 2
 
0.6%
2 1
 
0.3%
4 1
 
0.3%
5 3
 
1.0%
6 2
 
0.6%
10 1
 
0.3%
12 2
 
0.6%
14 1
 
0.3%
20 1
 
0.3%
ValueCountFrequency (%)
69256 1
0.3%
66783 1
0.3%
62986 1
0.3%
57480 1
0.3%
56085 1
0.3%
55027 1
0.3%
51994 1
0.3%
51555 1
0.3%
51141 1
0.3%
50609 1
0.3%

건수(2통행)_어린이
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct267
Distinct (%)85.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1005.8854
Minimum0
Maximum5629
Zeros20
Zeros (%)6.4%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T01:14:19.107511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1126.25
median578
Q31469.25
95-th percentile3581.7
Maximum5629
Range5629
Interquartile range (IQR)1343

Descriptive statistics

Standard deviation1161.837
Coefficient of variation (CV)1.1550392
Kurtosis2.11807
Mean1005.8854
Median Absolute Deviation (MAD)546
Skewness1.5573558
Sum315848
Variance1349865.3
MonotonicityNot monotonic
2023-12-11T01:14:19.277477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 20
 
6.4%
1 6
 
1.9%
3 4
 
1.3%
2 4
 
1.3%
7 2
 
0.6%
325 2
 
0.6%
215 2
 
0.6%
1385 2
 
0.6%
153 2
 
0.6%
104 2
 
0.6%
Other values (257) 268
85.4%
ValueCountFrequency (%)
0 20
6.4%
1 6
 
1.9%
2 4
 
1.3%
3 4
 
1.3%
4 1
 
0.3%
6 1
 
0.3%
7 2
 
0.6%
8 2
 
0.6%
10 2
 
0.6%
16 1
 
0.3%
ValueCountFrequency (%)
5629 1
0.3%
5548 1
0.3%
4845 1
0.3%
4501 1
0.3%
4359 1
0.3%
4332 1
0.3%
4326 1
0.3%
4251 1
0.3%
4243 1
0.3%
4177 1
0.3%

건수(3통행)_일반
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct309
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44062.959
Minimum0
Maximum204941
Zeros4
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T01:14:19.487241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile72.3
Q19102.75
median27447
Q366634.75
95-th percentile137494.75
Maximum204941
Range204941
Interquartile range (IQR)57532

Descriptive statistics

Standard deviation45161.722
Coefficient of variation (CV)1.0249362
Kurtosis0.73680859
Mean44062.959
Median Absolute Deviation (MAD)23448.5
Skewness1.1995769
Sum13835769
Variance2.0395811 × 109
MonotonicityNot monotonic
2023-12-11T01:14:19.669950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
1.3%
5 2
 
0.6%
1 2
 
0.6%
400 1
 
0.3%
56531 1
 
0.3%
24661 1
 
0.3%
56176 1
 
0.3%
90 1
 
0.3%
161 1
 
0.3%
17 1
 
0.3%
Other values (299) 299
95.2%
ValueCountFrequency (%)
0 4
1.3%
1 2
0.6%
2 1
 
0.3%
3 1
 
0.3%
4 1
 
0.3%
5 2
0.6%
7 1
 
0.3%
8 1
 
0.3%
17 1
 
0.3%
43 1
 
0.3%
ValueCountFrequency (%)
204941 1
0.3%
191073 1
0.3%
185077 1
0.3%
175012 1
0.3%
173295 1
0.3%
163477 1
0.3%
162164 1
0.3%
155400 1
0.3%
154919 1
0.3%
150518 1
0.3%

건수(3통행)_청소년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct276
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1581.9363
Minimum0
Maximum10355
Zeros16
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T01:14:19.850420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.65
Q1206.25
median983.5
Q32311.5
95-th percentile4580.8
Maximum10355
Range10355
Interquartile range (IQR)2105.25

Descriptive statistics

Standard deviation1749.9105
Coefficient of variation (CV)1.1061826
Kurtosis3.5658401
Mean1581.9363
Median Absolute Deviation (MAD)901.5
Skewness1.6771238
Sum496728
Variance3062186.6
MonotonicityNot monotonic
2023-12-11T01:14:20.046363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 16
 
5.1%
4 3
 
1.0%
1 3
 
1.0%
11 2
 
0.6%
14 2
 
0.6%
104 2
 
0.6%
3705 2
 
0.6%
171 2
 
0.6%
6 2
 
0.6%
232 2
 
0.6%
Other values (266) 278
88.5%
ValueCountFrequency (%)
0 16
5.1%
1 3
 
1.0%
3 2
 
0.6%
4 3
 
1.0%
6 2
 
0.6%
9 1
 
0.3%
10 1
 
0.3%
11 2
 
0.6%
12 1
 
0.3%
14 2
 
0.6%
ValueCountFrequency (%)
10355 1
0.3%
8855 1
0.3%
8095 1
0.3%
8077 1
0.3%
7444 1
0.3%
7306 1
0.3%
6567 1
0.3%
6382 1
0.3%
6061 1
0.3%
5585 1
0.3%

건수(3통행)_어린이
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct173
Distinct (%)55.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100.01592
Minimum0
Maximum559
Zeros27
Zeros (%)8.6%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T01:14:20.224109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median63.5
Q3158
95-th percentile311
Maximum559
Range559
Interquartile range (IQR)144

Descriptive statistics

Standard deviation104.27141
Coefficient of variation (CV)1.0425481
Kurtosis1.4264516
Mean100.01592
Median Absolute Deviation (MAD)58.5
Skewness1.2765166
Sum31405
Variance10872.527
MonotonicityNot monotonic
2023-12-11T01:14:20.431186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 27
 
8.6%
1 10
 
3.2%
2 6
 
1.9%
12 6
 
1.9%
8 6
 
1.9%
10 6
 
1.9%
5 4
 
1.3%
48 4
 
1.3%
30 4
 
1.3%
19 4
 
1.3%
Other values (163) 237
75.5%
ValueCountFrequency (%)
0 27
8.6%
1 10
 
3.2%
2 6
 
1.9%
3 4
 
1.3%
4 1
 
0.3%
5 4
 
1.3%
6 1
 
0.3%
7 1
 
0.3%
8 6
 
1.9%
9 2
 
0.6%
ValueCountFrequency (%)
559 1
0.3%
460 1
0.3%
423 1
0.3%
402 1
0.3%
395 1
0.3%
384 1
0.3%
367 1
0.3%
364 2
0.6%
362 1
0.3%
353 2
0.6%

교통카드건수합계
Real number (ℝ)

HIGH CORRELATION 

Distinct313
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1253484.8
Minimum3
Maximum6252003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-11T01:14:20.719922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile1259.8
Q1173636.25
median587550.5
Q31944417.2
95-th percentile4491704.2
Maximum6252003
Range6252000
Interquartile range (IQR)1770781

Descriptive statistics

Standard deviation1487877.5
Coefficient of variation (CV)1.1869928
Kurtosis1.2323398
Mean1253484.8
Median Absolute Deviation (MAD)539932
Skewness1.4319026
Sum3.9359422 × 108
Variance2.2137793 × 1012
MonotonicityNot monotonic
2023-12-11T01:14:20.931365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2
 
0.6%
17386 1
 
0.3%
743929 1
 
0.3%
1340329 1
 
0.3%
4614 1
 
0.3%
5771 1
 
0.3%
501 1
 
0.3%
124743 1
 
0.3%
17926 1
 
0.3%
63914 1
 
0.3%
Other values (303) 303
96.5%
ValueCountFrequency (%)
3 2
0.6%
7 1
0.3%
17 1
0.3%
35 1
0.3%
70 1
0.3%
73 1
0.3%
77 1
0.3%
98 1
0.3%
110 1
0.3%
162 1
0.3%
ValueCountFrequency (%)
6252003 1
0.3%
6242303 1
0.3%
5942806 1
0.3%
5931957 1
0.3%
5691539 1
0.3%
5542951 1
0.3%
5457468 1
0.3%
5218925 1
0.3%
5150974 1
0.3%
5147289 1
0.3%

Interactions

2023-12-11T01:14:13.724753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:58.536743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:00.157887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:01.858568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:03.723139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:06.214085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:07.853246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:09.391763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:10.856742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:12.496832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:13.844026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:58.637956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:00.638308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:02.004225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:03.921028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:06.418533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:07.975606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:09.520236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:10.995643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:12.609942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:13.966998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:58.790627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:00.746250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:02.169367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:04.137667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:06.596254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:08.178396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:09.680490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:11.456829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:12.722032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:14.068506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:58.949269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:00.877980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:02.383112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:04.415829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:06.725056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:08.366016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:09.836705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:11.605543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:12.820058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:14.201674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:59.140589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:01.009774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:02.598530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:04.603097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:06.884878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:08.547525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:09.984571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:11.757438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:12.992384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:14.335945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:59.356342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:01.156829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:02.824447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:04.876557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:07.032386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:08.722169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:10.126364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:11.887571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:13.120832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:14.467666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:59.531179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:01.302417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:02.970934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:05.156498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:07.189294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:08.824980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:10.261143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:12.013641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:13.232268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:14.600127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:59.662258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:01.423690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:03.131407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:05.432467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:07.330526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:08.958776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:10.471543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:12.131165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:13.365636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:14.733148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:59.850923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:01.568133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:03.332122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:05.740186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:07.529043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:09.103145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:10.615583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:12.249721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:13.487600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:14.891628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:00.018923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:01.705496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:03.466453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:06.013004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:07.696964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:09.262784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:10.741017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:12.373689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:14:13.614640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:14:21.079640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수(1통행)_일반건수(1통행)_청소년건수(1통행)_어린이건수(2통행)_일반건수(2통행)_청소년건수(2통행)_어린이건수(3통행)_일반건수(3통행)_청소년건수(3통행)_어린이교통카드건수합계
건수(1통행)_일반1.0000.8810.7710.9560.8820.8980.9140.7860.8690.991
건수(1통행)_청소년0.8811.0000.8690.8840.9010.8910.8490.8370.8770.890
건수(1통행)_어린이0.7710.8691.0000.7460.7340.8160.7110.6730.7500.755
건수(2통행)_일반0.9560.8840.7461.0000.9090.9200.9340.8050.8870.959
건수(2통행)_청소년0.8820.9010.7340.9091.0000.9020.8940.8650.8630.892
건수(2통행)_어린이0.8980.8910.8160.9200.9021.0000.9160.7910.9210.902
건수(3통행)_일반0.9140.8490.7110.9340.8940.9161.0000.8500.9060.920
건수(3통행)_청소년0.7860.8370.6730.8050.8650.7910.8501.0000.8200.809
건수(3통행)_어린이0.8690.8770.7500.8870.8630.9210.9060.8201.0000.887
교통카드건수합계0.9910.8900.7550.9590.8920.9020.9200.8090.8871.000
2023-12-11T01:14:21.294754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건수(1통행)_일반건수(1통행)_청소년건수(1통행)_어린이건수(2통행)_일반건수(2통행)_청소년건수(2통행)_어린이건수(3통행)_일반건수(3통행)_청소년건수(3통행)_어린이교통카드건수합계
건수(1통행)_일반1.0000.9600.9220.9820.9300.9400.9520.8560.9250.997
건수(1통행)_청소년0.9601.0000.9340.9390.9400.9230.9130.8830.9070.963
건수(1통행)_어린이0.9220.9341.0000.8970.8820.9500.8820.8110.9330.922
건수(2통행)_일반0.9820.9390.8971.0000.9600.9470.9780.8970.9230.991
건수(2통행)_청소년0.9300.9400.8820.9601.0000.9390.9480.9540.9000.949
건수(2통행)_어린이0.9400.9230.9500.9470.9391.0000.9310.8640.9600.948
건수(3통행)_일반0.9520.9130.8820.9780.9480.9311.0000.9230.9150.966
건수(3통행)_청소년0.8560.8830.8110.8970.9540.8640.9231.0000.8440.882
건수(3통행)_어린이0.9250.9070.9330.9230.9000.9600.9150.8441.0000.930
교통카드건수합계0.9970.9630.9220.9910.9490.9480.9660.8820.9301.000

Missing values

2023-12-11T01:14:15.090900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:14:15.315442image/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

노선건수(1통행)_일반건수(1통행)_청소년건수(1통행)_어린이건수(2통행)_일반건수(2통행)_청소년건수(2통행)_어린이건수(3통행)_일반건수(3통행)_청소년건수(3통행)_어린이교통카드건수합계
0112095491813913106768011217386
11019840262587943589654639940963262910436751762082978458
210010151686553590202144148789657390559141141353666
3100-11404565114532153683548171685811366188625051201971787
4100045822115678276811998737723011421832538615308
5100118302698531383305148292423512524282018761312509055
61002106443358059416033466817452755452951474401526336
71003167516369115106803307461197378632339999652131866
81004818974282002219262548986456720632623631143690
910051517552992593522809161091094017428219787
노선건수(1통행)_일반건수(1통행)_청소년건수(1통행)_어린이건수(2통행)_일반건수(2통행)_청소년건수(2통행)_어린이건수(3통행)_일반건수(3통행)_청소년건수(3통행)_어린이교통카드건수합계
304해운대10100738339511122803488096740221314141884
305해운대243796315078556611467140094403001983728608611
306해운대3B코4300000007
307해운대7_낮7912332046043001070
308해운대구3171589765142595582029732161795941834260919
309해운대구3-143966537103146751588491316855343810137033709226
310해운대구3-21673882553346315632132551771528917112272777
311해운대구7197971715125544958015102081303633836272384
312해운대구83482211513438534282332342451047562
313해운대구95696516983461199631236355488174996