Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory986.3 KiB
Average record size in memory101.0 B

Variable types

DateTime2
Text2
Numeric5
Categorical2

Dataset

Description제주 전기버스 우선도입노선 파악을 위한 데이터 매쉬업 결과 정보입니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15074774/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
읍면동명 is highly overall correlated with 거주인구 and 3 other fieldsHigh correlation
시도명 is highly overall correlated with 거주인구 and 3 other fieldsHigh correlation
거주인구 is highly overall correlated with 근무인구 and 3 other fieldsHigh correlation
근무인구 is highly overall correlated with 거주인구 and 3 other fieldsHigh correlation
방문인구 is highly overall correlated with 거주인구 and 3 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 20:48:32.754092
Analysis finished2023-12-12 20:48:36.693570
Duration3.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2018-07-01 00:00:00
Maximum2018-07-05 00:00:00
2023-12-13T05:48:36.730296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:36.813540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

버스 노선명
Text

Distinct673
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:48:37.034111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length24.6915
Min length3

Characters and Unicode

Total characters246915
Distinct characters216
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)0.2%

Sample

1st row342-1(제주대학교~함덕5구)
2nd row201-11(제주버스터미널(가상정류소)~서귀포버스터미널)
3rd row344-2(제주국제공항(구제주방면)~제주절물자연휴양림)
4th row531-2(하례환승정류장(하례리입구)~대평리)
5th row645-7(중앙로터리~약천사(종점)
ValueCountFrequency (%)
201-11(제주버스터미널(가상정류소)~서귀포버스터미널 113
 
1.1%
202-14(구터미널~제주버스터미널(종점 107
 
1.1%
201-14(서귀포버스터미널(가상정류소)~제주버스터미널(종점 107
 
1.1%
201-12(서귀포버스터미널(가상정류소)~제주버스터미널(종점 99
 
1.0%
202-15(제주버스터미널(가상정류소)~서귀포환승정류장(서귀포등기소 93
 
0.9%
202-16(구터미널~제주버스터미널(종점 93
 
0.9%
202-13(제주버스터미널(가상정류소)~서귀포환승정류장(서귀포등기소 92
 
0.9%
201-16(서귀포버스터미널(가상정류소)~제주버스터미널(종점 82
 
0.8%
201-13(제주버스터미널(가상정류소)~서귀포버스터미널 82
 
0.8%
201-15(제주버스터미널(가상정류소)~서귀포버스터미널 76
 
0.8%
Other values (663) 9056
90.6%
2023-12-13T05:48:37.406069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 16952
 
6.9%
) 16946
 
6.9%
2 10534
 
4.3%
- 9986
 
4.0%
~ 9986
 
4.0%
1 9268
 
3.8%
제 8175
 
3.3%
주 7648
 
3.1%
터 7068
 
2.9%
미 6433
 
2.6%
Other values (206) 143919
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 148975
60.3%
Decimal Number 43631
 
17.7%
Open Punctuation 16952
 
6.9%
Close Punctuation 16946
 
6.9%
Dash Punctuation 9986
 
4.0%
Math Symbol 9986
 
4.0%
Other Punctuation 318
 
0.1%
Uppercase Letter 121
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 8175
 
5.5%
주 7648
 
5.1%
터 7068
 
4.7%
미 6433
 
4.3%
널 6358
 
4.3%
스 5165
 
3.5%
버 5006
 
3.4%
포 3745
 
2.5%
소 3697
 
2.5%
류 3476
 
2.3%
Other values (189) 92204
61.9%
Decimal Number
ValueCountFrequency (%)
2 10534
24.1%
1 9268
21.2%
3 5598
12.8%
5 4617
10.6%
4 3800
 
8.7%
0 3588
 
8.2%
6 2787
 
6.4%
7 1732
 
4.0%
8 975
 
2.2%
9 732
 
1.7%
Other Punctuation
ValueCountFrequency (%)
/ 214
67.3%
, 104
32.7%
Open Punctuation
ValueCountFrequency (%)
( 16952
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16946
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9986
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9986
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 148975
60.3%
Common 97819
39.6%
Latin 121
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 8175
 
5.5%
주 7648
 
5.1%
터 7068
 
4.7%
미 6433
 
4.3%
널 6358
 
4.3%
스 5165
 
3.5%
버 5006
 
3.4%
포 3745
 
2.5%
소 3697
 
2.5%
류 3476
 
2.3%
Other values (189) 92204
61.9%
Common
ValueCountFrequency (%)
( 16952
17.3%
) 16946
17.3%
2 10534
10.8%
- 9986
10.2%
~ 9986
10.2%
1 9268
9.5%
3 5598
 
5.7%
5 4617
 
4.7%
4 3800
 
3.9%
0 3588
 
3.7%
Other values (6) 6544
 
6.7%
Latin
ValueCountFrequency (%)
S 121
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 148975
60.3%
ASCII 97940
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 16952
17.3%
) 16946
17.3%
2 10534
10.8%
- 9986
10.2%
~ 9986
10.2%
1 9268
9.5%
3 5598
 
5.7%
5 4617
 
4.7%
4 3800
 
3.9%
0 3588
 
3.7%
Other values (7) 6665
 
6.8%
Hangul
ValueCountFrequency (%)
제 8175
 
5.5%
주 7648
 
5.1%
터 7068
 
4.7%
미 6433
 
4.3%
널 6358
 
4.3%
스 5165
 
3.5%
버 5006
 
3.4%
포 3745
 
2.5%
소 3697
 
2.5%
류 3476
 
2.3%
Other values (189) 92204
61.9%

정류소 아이디
Real number (ℝ)

Distinct1979
Distinct (%)19.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42984.887
Minimum1
Maximum6115101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:48:37.590735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile94
Q1371.75
median1215
Q32319.25
95-th percentile3271
Maximum6115101
Range6115100
Interquartile range (IQR)1947.5

Descriptive statistics

Standard deviation492780.49
Coefficient of variation (CV)11.464041
Kurtosis146.59109
Mean42984.887
Median Absolute Deviation (MAD)877
Skewness12.154304
Sum4.2984886 × 108
Variance2.4283261 × 1011
MonotonicityNot monotonic
2023-12-13T05:48:37.748753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
357 58
 
0.6%
3279 56
 
0.6%
358 56
 
0.6%
3271 54
 
0.5%
3278 51
 
0.5%
320 50
 
0.5%
321 48
 
0.5%
3281 44
 
0.4%
164 43
 
0.4%
268 42
 
0.4%
Other values (1969) 9498
95.0%
ValueCountFrequency (%)
1 3
 
< 0.1%
5 4
 
< 0.1%
6 7
0.1%
7 5
 
0.1%
9 14
0.1%
10 8
0.1%
11 8
0.1%
12 7
0.1%
13 9
0.1%
15 13
0.1%
ValueCountFrequency (%)
6115101 17
0.2%
6115100 15
0.1%
6115044 1
 
< 0.1%
6115041 1
 
< 0.1%
6115036 1
 
< 0.1%
6115032 1
 
< 0.1%
6115026 1
 
< 0.1%
6115024 1
 
< 0.1%
6115020 1
 
< 0.1%
6115019 1
 
< 0.1%

정류소명
Text

Distinct1255
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T05:48:38.022063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length5.891
Min length2

Characters and Unicode

Total characters58910
Distinct characters441
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique245 ?
Unique (%)2.5%

Sample

1st row화북초등학교
2nd row표선초등학교
3rd row명도암마을회관
4th row(구)중앙파출소
5th row유승한내들아파트
ValueCountFrequency (%)
제주여자중고등학교 115
 
1.1%
한라병원 114
 
1.1%
신제주로터리 98
 
1.0%
남국원 85
 
0.9%
화북남문 81
 
0.8%
동문로터리 67
 
0.7%
제주동중학교 66
 
0.7%
시외버스터미널 60
 
0.6%
월성마을 60
 
0.6%
탐라장애인종합복지관 59
 
0.6%
Other values (1245) 9195
92.0%
2023-12-13T05:48:38.444799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 2448
 
4.2%
교 1621
 
2.8%
학 1548
 
2.6%
주 1509
 
2.6%
동 1349
 
2.3%
제 1279
 
2.2%
구 1145
 
1.9%
등 1053
 
1.8%
마 919
 
1.6%
장 891
 
1.5%
Other values (431) 45148
76.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56298
95.6%
Decimal Number 947
 
1.6%
Close Punctuation 754
 
1.3%
Open Punctuation 754
 
1.3%
Uppercase Letter 83
 
0.1%
Other Punctuation 62
 
0.1%
Dash Punctuation 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 2448
 
4.3%
교 1621
 
2.9%
학 1548
 
2.7%
주 1509
 
2.7%
동 1349
 
2.4%
제 1279
 
2.3%
구 1145
 
2.0%
등 1053
 
1.9%
마 919
 
1.6%
장 891
 
1.6%
Other values (407) 42536
75.6%
Decimal Number
ValueCountFrequency (%)
1 379
40.0%
2 270
28.5%
3 137
 
14.5%
4 62
 
6.5%
6 32
 
3.4%
5 30
 
3.2%
9 20
 
2.1%
0 12
 
1.3%
8 5
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
S 34
41.0%
L 19
22.9%
M 9
 
10.8%
G 8
 
9.6%
C 6
 
7.2%
N 4
 
4.8%
I 1
 
1.2%
B 1
 
1.2%
H 1
 
1.2%
Other Punctuation
ValueCountFrequency (%)
/ 41
66.1%
, 20
32.3%
. 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 754
100.0%
Open Punctuation
ValueCountFrequency (%)
( 754
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56298
95.6%
Common 2529
 
4.3%
Latin 83
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 2448
 
4.3%
교 1621
 
2.9%
학 1548
 
2.7%
주 1509
 
2.7%
동 1349
 
2.4%
제 1279
 
2.3%
구 1145
 
2.0%
등 1053
 
1.9%
마 919
 
1.6%
장 891
 
1.6%
Other values (407) 42536
75.6%
Common
ValueCountFrequency (%)
) 754
29.8%
( 754
29.8%
1 379
15.0%
2 270
 
10.7%
3 137
 
5.4%
4 62
 
2.5%
/ 41
 
1.6%
6 32
 
1.3%
5 30
 
1.2%
9 20
 
0.8%
Other values (5) 50
 
2.0%
Latin
ValueCountFrequency (%)
S 34
41.0%
L 19
22.9%
M 9
 
10.8%
G 8
 
9.6%
C 6
 
7.2%
N 4
 
4.8%
I 1
 
1.2%
B 1
 
1.2%
H 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56298
95.6%
ASCII 2612
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 2448
 
4.3%
교 1621
 
2.9%
학 1548
 
2.7%
주 1509
 
2.7%
동 1349
 
2.4%
제 1279
 
2.3%
구 1145
 
2.0%
등 1053
 
1.9%
마 919
 
1.6%
장 891
 
1.6%
Other values (407) 42536
75.6%
ASCII
ValueCountFrequency (%)
) 754
28.9%
( 754
28.9%
1 379
14.5%
2 270
 
10.3%
3 137
 
5.2%
4 62
 
2.4%
/ 41
 
1.6%
S 34
 
1.3%
6 32
 
1.2%
5 30
 
1.1%
Other values (14) 119
 
4.6%

이용자 수
Real number (ℝ)

Distinct199
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.3274
Minimum1
Maximum701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:48:38.633677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q310
95-th percentile44
Maximum701
Range700
Interquartile range (IQR)9

Descriptive statistics

Standard deviation28.069115
Coefficient of variation (CV)2.4779839
Kurtosis130.11237
Mean11.3274
Median Absolute Deviation (MAD)2
Skewness8.9117453
Sum113274
Variance787.8752
MonotonicityNot monotonic
2023-12-13T05:48:38.788907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2645
26.5%
2 1464
14.6%
3 922
 
9.2%
4 697
 
7.0%
5 516
 
5.2%
6 406
 
4.1%
7 300
 
3.0%
8 286
 
2.9%
9 242
 
2.4%
10 194
 
1.9%
Other values (189) 2328
23.3%
ValueCountFrequency (%)
1 2645
26.5%
2 1464
14.6%
3 922
 
9.2%
4 697
 
7.0%
5 516
 
5.2%
6 406
 
4.1%
7 300
 
3.0%
8 286
 
2.9%
9 242
 
2.4%
10 194
 
1.9%
ValueCountFrequency (%)
701 1
< 0.1%
674 1
< 0.1%
530 1
< 0.1%
491 1
< 0.1%
456 1
< 0.1%
405 1
< 0.1%
373 1
< 0.1%
363 1
< 0.1%
352 1
< 0.1%
337 1
< 0.1%

시도명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
제주시
6306 
서귀포시
3694 

Length

Max length4
Median length3
Mean length3.3694
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제주시
2nd row서귀포시
3rd row제주시
4th row서귀포시
5th row서귀포시

Common Values

ValueCountFrequency (%)
제주시 6306
63.1%
서귀포시 3694
36.9%

Length

2023-12-13T05:48:38.946454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:48:39.052885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주시 6306
63.1%
서귀포시 3694
36.9%

읍면동명
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
애월읍
708 
아라동
707 
노형동
701 
조천읍
687 
연동
 
601
Other values (36)
6596 

Length

Max length4
Median length3
Mean length3.0076
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row화북동
2nd row표선면
3rd row봉개동
4th row천지동
5th row대천동

Common Values

ValueCountFrequency (%)
애월읍 708
 
7.1%
아라동 707
 
7.1%
노형동 701
 
7.0%
조천읍 687
 
6.9%
연동 601
 
6.0%
남원읍 581
 
5.8%
성산읍 451
 
4.5%
화북동 431
 
4.3%
안덕면 373
 
3.7%
구좌읍 362
 
3.6%
Other values (31) 4398
44.0%

Length

2023-12-13T05:48:39.189366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
애월읍 708
 
7.1%
아라동 707
 
7.1%
노형동 701
 
7.0%
조천읍 687
 
6.9%
연동 601
 
6.0%
남원읍 581
 
5.8%
성산읍 451
 
4.5%
화북동 431
 
4.3%
안덕면 373
 
3.7%
구좌읍 362
 
3.6%
Other values (31) 4398
44.0%

거주인구
Real number (ℝ)

HIGH CORRELATION 

Distinct202
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean446070.45
Minimum14161.988
Maximum1267629.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:48:39.352522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14161.988
5-th percentile66659.791
Q1210052.3
median302696.1
Q3707260.1
95-th percentile1089792.4
Maximum1267629.3
Range1253467.3
Interquartile range (IQR)497207.8

Descriptive statistics

Standard deviation326903.72
Coefficient of variation (CV)0.73285222
Kurtosis-0.44023457
Mean446070.45
Median Absolute Deviation (MAD)153092.97
Skewness0.85428698
Sum4.4607045 × 109
Variance1.0686604 × 1011
MonotonicityNot monotonic
2023-12-13T05:48:39.520989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
690312.4 167
 
1.7%
408367.609 164
 
1.6%
1141404.23 164
 
1.6%
806498.459 157
 
1.6%
784611.35 157
 
1.6%
778486.7579999999 156
 
1.6%
1089792.404 151
 
1.5%
707260.105 150
 
1.5%
416950.633 148
 
1.5%
802715.63 146
 
1.5%
Other values (192) 8440
84.4%
ValueCountFrequency (%)
14161.988 29
0.3%
14610.361 48
0.5%
15671.484 32
0.3%
16186.368 31
0.3%
18136.284 26
0.3%
25756.637 5
 
0.1%
26023.257 18
 
0.2%
26818.727000000003 16
 
0.2%
27294.53 10
 
0.1%
27800.85 3
 
< 0.1%
ValueCountFrequency (%)
1267629.337 16
 
0.2%
1241396.593 106
1.1%
1171996.828 14
 
0.1%
1169204.927 12
 
0.1%
1147930.259 11
 
0.1%
1141404.23 164
1.6%
1137005.017 20
 
0.2%
1120664.8 144
1.4%
1089792.404 151
1.5%
1079692.05 136
1.4%

근무인구
Real number (ℝ)

HIGH CORRELATION 

Distinct202
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65185.579
Minimum1384.799
Maximum214058.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:48:39.698992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1384.799
5-th percentile9082.1853
Q125548.413
median43803.429
Q382135.996
95-th percentile206947.78
Maximum214058.5
Range212673.7
Interquartile range (IQR)56587.583

Descriptive statistics

Standard deviation59875.265
Coefficient of variation (CV)0.91853545
Kurtosis0.48692394
Mean65185.579
Median Absolute Deviation (MAD)21875.453
Skewness1.3295266
Sum6.5185579 × 108
Variance3.5850474 × 109
MonotonicityNot monotonic
2023-12-13T05:48:39.845038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83930.76800000001 167
 
1.7%
56264.233 164
 
1.6%
183015.307 164
 
1.6%
209919.533 157
 
1.6%
206947.783 157
 
1.6%
210682.093 156
 
1.6%
166153.88 151
 
1.5%
85826.266 150
 
1.5%
54004.115 148
 
1.5%
214058.497 146
 
1.5%
Other values (192) 8440
84.4%
ValueCountFrequency (%)
1384.799 3
 
< 0.1%
1641.381 5
 
0.1%
1716.655 3
 
< 0.1%
1760.511 3
 
< 0.1%
1913.459 29
0.3%
2033.643 48
0.5%
2151.366 31
0.3%
2351.424 26
0.3%
2381.932 32
0.3%
3003.625 5
 
0.1%
ValueCountFrequency (%)
214058.497 146
1.5%
210682.093 156
1.6%
209919.533 157
1.6%
206947.783 157
1.6%
204621.077 12
 
0.1%
202330.848 14
 
0.1%
195034.905 20
 
0.2%
194611.044 11
 
0.1%
183015.307 164
1.6%
182350.953 136
1.4%

방문인구
Real number (ℝ)

HIGH CORRELATION 

Distinct202
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221784.31
Minimum14424.033
Maximum575114.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T05:48:39.982634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14424.033
5-th percentile64821.756
Q1113588.76
median180658.24
Q3271653.64
95-th percentile480859.59
Maximum575114.33
Range560690.29
Interquartile range (IQR)158064.88

Descriptive statistics

Standard deviation135214.98
Coefficient of variation (CV)0.6096688
Kurtosis-0.29363633
Mean221784.31
Median Absolute Deviation (MAD)75292.099
Skewness0.90574011
Sum2.2178431 × 109
Variance1.828309 × 1010
MonotonicityNot monotonic
2023-12-13T05:48:40.152656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
459515.86 167
 
1.7%
259595.548 164
 
1.6%
424241.807 164
 
1.6%
271653.635 157
 
1.6%
295250.858 157
 
1.6%
292727.128 156
 
1.6%
381039.714 151
 
1.5%
420559.192 150
 
1.5%
202111.255 148
 
1.5%
262891.887 146
 
1.5%
Other values (192) 8440
84.4%
ValueCountFrequency (%)
14424.033 3
 
< 0.1%
15180.258 3
 
< 0.1%
18829.308 5
0.1%
22017.428 3
 
< 0.1%
25151.519 6
0.1%
25212.775 4
 
< 0.1%
28162.263 4
 
< 0.1%
28666.261 4
 
< 0.1%
29221.46 11
0.1%
31201.608 8
0.1%
ValueCountFrequency (%)
575114.326 11
 
0.1%
568547.123 20
 
0.2%
557672.68 12
 
0.1%
546883.664 122
1.2%
545603.946 14
 
0.1%
530181.3470000001 118
1.2%
511723.694 16
 
0.2%
507351.216 133
1.3%
480859.595 127
1.3%
468677.654 123
1.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2020-12-15 00:00:00
Maximum2020-12-15 00:00:00
2023-12-13T05:48:40.272186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:40.369164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T05:48:36.054370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:34.042911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:34.498767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.202061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.663722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:36.139267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:34.139742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:34.581221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.299054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.740980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:36.224013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:34.236198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:34.939310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.400126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.824971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:36.306521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:34.334377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.024252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.494266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.904103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:36.384296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:34.416941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.106238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.577785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:48:35.977026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:48:40.447094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자정류소 아이디이용자 수시도명읍면동명거주인구근무인구방문인구
일자1.0000.0050.0050.0190.0630.3270.4040.546
정류소 아이디0.0051.0000.0680.0430.6410.1300.0970.178
이용자 수0.0050.0681.0000.0480.2200.0900.0770.082
시도명0.0190.0430.0481.0001.0000.8330.7500.798
읍면동명0.0630.6410.2201.0001.0000.9890.9630.949
거주인구0.3270.1300.0900.8330.9891.0000.8970.931
근무인구0.4040.0970.0770.7500.9630.8971.0000.827
방문인구0.5460.1780.0820.7980.9490.9310.8271.000
2023-12-13T05:48:40.887079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명시도명
읍면동명1.0000.998
시도명0.9981.000
2023-12-13T05:48:40.979142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정류소 아이디이용자 수거주인구근무인구방문인구시도명읍면동명
정류소 아이디1.000-0.121-0.287-0.326-0.3630.0710.407
이용자 수-0.1211.0000.0730.1110.1080.0460.081
거주인구-0.2870.0731.0000.8320.8480.6670.902
근무인구-0.3260.1110.8321.0000.8730.5760.794
방문인구-0.3630.1080.8480.8731.0000.6320.719
시도명0.0710.0460.6670.5760.6321.0000.998
읍면동명0.4070.0810.9020.7940.7190.9981.000

Missing values

2023-12-13T05:48:36.494141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:48:36.627050image/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

일자버스 노선명정류소 아이디정류소명이용자 수시도명읍면동명거주인구근무인구방문인구데이터기준일자
343442018-07-03342-1(제주대학교~함덕5구)592화북초등학교2제주시화북동557129.00277120.612187604.3232020-12-15
421082018-07-04201-11(제주버스터미널(가상정류소)~서귀포버스터미널)2380표선초등학교20서귀포시표선면197526.44529898.353122870.0972020-12-15
652482018-07-05344-2(제주국제공항(구제주방면)~제주절물자연휴양림)287명도암마을회관6제주시봉개동66287.67936750.62787077.9922020-12-15
384742018-07-03531-2(하례환승정류장(하례리입구)~대평리)1952(구)중앙파출소16서귀포시천지동16186.3682151.36634749.4882020-12-15
707062018-07-05645-7(중앙로터리~약천사(종점)3081유승한내들아파트1서귀포시대천동131970.08215075.054135548.2522020-12-15
332772018-07-03320-3(하귀하나로마트~오름중학교)1472제주여자중고등학교3제주시아라동802715.63214058.497262891.8872020-12-15
448382018-07-04212-4(성산항~제주버스터미널(종점))1358한라생태숲4제주시봉개동66659.79138176.25490670.6992020-12-15
563472018-07-04771-1(고산1리~동광육거리)3230동광환승센터2서귀포시안덕면241313.32248603.832179253.6072020-12-15
62562018-07-01335-25(백록초등학교~큰동네)361남녕고등학교1제주시노형동1241396.59392463.787389909.7142020-12-15
400022018-07-03692-1(천지연폭포(종점)~천지연폭포(종점))3082중흥S클래스아파트1서귀포시대천동135786.15215469.776107928.0512020-12-15
일자버스 노선명정류소 아이디정류소명이용자 수시도명읍면동명거주인구근무인구방문인구데이터기준일자
672802018-07-05421-2(제주대학교~제주대학교)3278제주여자중고등학교14제주시아라동784611.35206947.783295250.8582020-12-15
32582018-07-01231-4(중앙로터리~제주버스터미널(종점))2522남원읍사무소8서귀포시남원읍285371.85917745.146125549.5392020-12-15
217652018-07-02434-1(한라도서관~한라도서관)1489방선문빌리지10제주시아라동806498.459209919.533271653.6352020-12-15
138292018-07-02201-32(서귀포버스터미널(가상정류소)~제주버스터미널(종점))1841농협주유소1서귀포시남원읍269194.48727098.862113588.762020-12-15
595872018-07-05202-15(제주버스터미널(가상정류소)~서귀포환승정류장(서귀포등기소))2471화순동취락지구2서귀포시안덕면235534.19146501.131186357.1122020-12-15
521212018-07-04444-1(도평동~도평)62우령마을입구16제주시외도동210772.46814740.701102207.5212020-12-15
705532018-07-05644-2(농업기술원~농업기술원)1777양가왓3서귀포시서홍동105430.32411641.60469884.7432020-12-15
503862018-07-04355-23(수산리사무소앞~제주대학교)1440하귀휴먼시아입구2제주시애월읍690312.483930.768459515.862020-12-15
162232018-07-02252-3(제주버스터미널(가상정류소)~모슬포남항여객선터미널(운진항))359노형오거리8제주시노형동1141404.23183015.307424241.8072020-12-15
281042018-07-03201-16(서귀포버스터미널(가상정류소)~제주버스터미널(종점))1215행원리4제주시구좌읍275523.70745555.92146311.6842020-12-15