Overview

Dataset statistics

Number of variables10
Number of observations258
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.3 KiB
Average record size in memory84.5 B

Variable types

Numeric4
Text2
Categorical3
DateTime1

Dataset

Description경기도 포천시 버스정보시스템에서 제공하는 버스정보시스템 현황입니다.
Author경기도 포천시
URLhttps://www.data.go.kr/data/15061881/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 장비종류High correlation
모바일ID is highly overall correlated with 위도 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 모바일ID and 1 other fieldsHigh correlation
경도 is highly overall correlated with 모바일ID and 1 other fieldsHigh correlation
장비종류 is highly overall correlated with 연번High correlation
운영현황 is highly imbalanced (59.3%)Imbalance
연번 has unique valuesUnique
모바일ID has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:01:42.105901
Analysis finished2023-12-12 15:01:44.723890
Duration2.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.5
Minimum1
Maximum258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T00:01:44.800022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.85
Q165.25
median129.5
Q3193.75
95-th percentile245.15
Maximum258
Range257
Interquartile range (IQR)128.5

Descriptive statistics

Standard deviation74.622383
Coefficient of variation (CV)0.57623462
Kurtosis-1.2
Mean129.5
Median Absolute Deviation (MAD)64.5
Skewness0
Sum33411
Variance5568.5
MonotonicityStrictly increasing
2023-12-13T00:01:44.956752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
195 1
 
0.4%
165 1
 
0.4%
166 1
 
0.4%
167 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
Other values (248) 248
96.1%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%
252 1
0.4%
251 1
0.4%
250 1
0.4%
249 1
0.4%

모바일ID
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct258
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40846.279
Minimum40001
Maximum41696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T00:01:45.098284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40001
5-th percentile40026.85
Q140231.25
median41086.5
Q341381.75
95-th percentile41584.95
Maximum41696
Range1695
Interquartile range (IQR)1150.5

Descriptive statistics

Standard deviation581.36957
Coefficient of variation (CV)0.01423311
Kurtosis-1.6659948
Mean40846.279
Median Absolute Deviation (MAD)485.5
Skewness-0.18329306
Sum10538340
Variance337990.58
MonotonicityNot monotonic
2023-12-13T00:01:45.232335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41156 1
 
0.4%
41342 1
 
0.4%
40575 1
 
0.4%
40108 1
 
0.4%
40164 1
 
0.4%
41635 1
 
0.4%
40027 1
 
0.4%
41331 1
 
0.4%
40424 1
 
0.4%
41609 1
 
0.4%
Other values (248) 248
96.1%
ValueCountFrequency (%)
40001 1
0.4%
40003 1
0.4%
40006 1
0.4%
40007 1
0.4%
40009 1
0.4%
40011 1
0.4%
40012 1
0.4%
40014 1
0.4%
40017 1
0.4%
40018 1
0.4%
ValueCountFrequency (%)
41696 1
0.4%
41635 1
0.4%
41634 1
0.4%
41617 1
0.4%
41615 1
0.4%
41612 1
0.4%
41609 1
0.4%
41607 1
0.4%
41605 1
0.4%
41603 1
0.4%

BIT설치 승강장명
Text

Distinct207
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T00:01:45.505883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11.5
Mean length7.2054264
Min length2

Characters and Unicode

Total characters1859
Distinct characters227
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

Unique156 ?
Unique (%)60.5%

Sample

1st row궁말.금현2리
2nd row금현3리.대대울
3rd row마산3리
4th row방축1리.화산서원
5th row성불암.방축2리
ValueCountFrequency (%)
일동종고 2
 
0.8%
선단1통.대진대학교 2
 
0.8%
소흘읍사무소앞 2
 
0.8%
가산사거리 2
 
0.8%
원일아파트.송우5리 2
 
0.8%
송우리터미널 2
 
0.8%
자작2통.군단앞 2
 
0.8%
어룡2통 2
 
0.8%
어룡3통 2
 
0.8%
포천고등학교앞 2
 
0.8%
Other values (199) 242
92.4%
2023-12-13T00:01:45.891676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 170
 
9.1%
. 125
 
6.7%
2 62
 
3.3%
교 56
 
3.0%
동 43
 
2.3%
1 41
 
2.2%
3 35
 
1.9%
앞 29
 
1.6%
이 28
 
1.5%
소 27
 
1.5%
Other values (217) 1243
66.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1558
83.8%
Decimal Number 165
 
8.9%
Other Punctuation 125
 
6.7%
Space Separator 4
 
0.2%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 170
 
10.9%
교 56
 
3.6%
동 43
 
2.8%
앞 29
 
1.9%
이 28
 
1.8%
소 27
 
1.7%
사 26
 
1.7%
통 26
 
1.7%
마 25
 
1.6%
단 25
 
1.6%
Other values (204) 1103
70.8%
Decimal Number
ValueCountFrequency (%)
2 62
37.6%
1 41
24.8%
3 35
21.2%
4 12
 
7.3%
5 9
 
5.5%
7 4
 
2.4%
6 1
 
0.6%
8 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
. 125
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1558
83.8%
Common 300
 
16.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 170
 
10.9%
교 56
 
3.6%
동 43
 
2.8%
앞 29
 
1.9%
이 28
 
1.8%
소 27
 
1.7%
사 26
 
1.7%
통 26
 
1.7%
마 25
 
1.6%
단 25
 
1.6%
Other values (204) 1103
70.8%
Common
ValueCountFrequency (%)
. 125
41.7%
2 62
20.7%
1 41
 
13.7%
3 35
 
11.7%
4 12
 
4.0%
5 9
 
3.0%
7 4
 
1.3%
4
 
1.3%
( 3
 
1.0%
) 3
 
1.0%
Other values (2) 2
 
0.7%
Latin
ValueCountFrequency (%)
K 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1558
83.8%
ASCII 301
 
16.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 170
 
10.9%
교 56
 
3.6%
동 43
 
2.8%
앞 29
 
1.9%
이 28
 
1.8%
소 27
 
1.7%
사 26
 
1.7%
통 26
 
1.7%
마 25
 
1.6%
단 25
 
1.6%
Other values (204) 1103
70.8%
ASCII
ValueCountFrequency (%)
. 125
41.5%
2 62
20.6%
1 41
 
13.6%
3 35
 
11.6%
4 12
 
4.0%
5 9
 
3.0%
7 4
 
1.3%
4
 
1.3%
( 3
 
1.0%
) 3
 
1.0%
Other values (3) 3
 
1.0%

승강장 주소
Text

Distinct257
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-13T00:01:46.239594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length20.372093
Min length15

Characters and Unicode

Total characters5256
Distinct characters108
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)99.2%

Sample

1st row경기도 포천시 가산면 금현리 778-1
2nd row경기도 포천시 가산면 금현리 139-2
3rd row경기도 포천시 가산면 마산리 151-12
4th row경기도 포천시 가산면 방축리 145-2
5th row경기도 포천시 가산면 방축리 382-1
ValueCountFrequency (%)
포천시 261
21.4%
경기도 258
21.2%
소흘읍 53
 
4.3%
신북면 33
 
2.7%
내촌면 30
 
2.5%
송우리 27
 
2.2%
가산면 21
 
1.7%
이동교리 19
 
1.6%
일동면 19
 
1.6%
신읍동 15
 
1.2%
Other values (325) 483
39.6%
2023-12-13T00:01:46.746710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
963
18.3%
기 274
 
5.2%
천 264
 
5.0%
시 261
 
5.0%
경 261
 
5.0%
포 261
 
5.0%
도 259
 
4.9%
- 246
 
4.7%
리 214
 
4.1%
1 163
 
3.1%
Other values (98) 2090
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3002
57.1%
Decimal Number 1044
 
19.9%
Space Separator 963
 
18.3%
Dash Punctuation 246
 
4.7%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 274
 
9.1%
천 264
 
8.8%
시 261
 
8.7%
경 261
 
8.7%
포 261
 
8.7%
도 259
 
8.6%
리 214
 
7.1%
면 156
 
5.2%
동 104
 
3.5%
읍 71
 
2.4%
Other values (85) 877
29.2%
Decimal Number
ValueCountFrequency (%)
1 163
15.6%
2 160
15.3%
3 122
11.7%
4 115
11.0%
7 103
9.9%
5 87
8.3%
6 79
7.6%
9 76
7.3%
8 72
6.9%
0 67
6.4%
Space Separator
ValueCountFrequency (%)
963
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 246
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3002
57.1%
Common 2254
42.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 274
 
9.1%
천 264
 
8.8%
시 261
 
8.7%
경 261
 
8.7%
포 261
 
8.7%
도 259
 
8.6%
리 214
 
7.1%
면 156
 
5.2%
동 104
 
3.5%
읍 71
 
2.4%
Other values (85) 877
29.2%
Common
ValueCountFrequency (%)
963
42.7%
- 246
 
10.9%
1 163
 
7.2%
2 160
 
7.1%
3 122
 
5.4%
4 115
 
5.1%
7 103
 
4.6%
5 87
 
3.9%
6 79
 
3.5%
9 76
 
3.4%
Other values (3) 140
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3002
57.1%
ASCII 2254
42.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
963
42.7%
- 246
 
10.9%
1 163
 
7.2%
2 160
 
7.1%
3 122
 
5.4%
4 115
 
5.1%
7 103
 
4.6%
5 87
 
3.9%
6 79
 
3.5%
9 76
 
3.4%
Other values (3) 140
 
6.2%
Hangul
ValueCountFrequency (%)
기 274
 
9.1%
천 264
 
8.8%
시 261
 
8.7%
경 261
 
8.7%
포 261
 
8.7%
도 259
 
8.6%
리 214
 
7.1%
면 156
 
5.2%
동 104
 
3.5%
읍 71
 
2.4%
Other values (85) 877
29.2%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct256
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.886838
Minimum37.760656
Maximum38.147385
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T00:01:46.898999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.760656
5-th percentile37.778998
Q137.825603
median37.868112
Q337.949022
95-th percentile38.017091
Maximum38.147385
Range0.38672886
Interquartile range (IQR)0.12341841

Descriptive statistics

Standard deviation0.079612256
Coefficient of variation (CV)0.002101317
Kurtosis-0.49563786
Mean37.886838
Median Absolute Deviation (MAD)0.05977415
Skewness0.53458825
Sum9774.8043
Variance0.0063381113
MonotonicityNot monotonic
2023-12-13T00:01:47.053203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.78539005 2
 
0.8%
37.83333856 2
 
0.8%
38.02997501 1
 
0.4%
37.76348131 1
 
0.4%
38.01426462 1
 
0.4%
37.96212407 1
 
0.4%
37.82403143 1
 
0.4%
37.94099339 1
 
0.4%
37.79656857 1
 
0.4%
37.82668668 1
 
0.4%
Other values (246) 246
95.3%
ValueCountFrequency (%)
37.76065632 1
0.4%
37.76348131 1
0.4%
37.76370698 1
0.4%
37.76474101 1
0.4%
37.76915099 1
0.4%
37.76929551 1
0.4%
37.77065096 1
0.4%
37.77212429 1
0.4%
37.77517673 1
0.4%
37.77673677 1
0.4%
ValueCountFrequency (%)
38.14738518 1
0.4%
38.09297266 1
0.4%
38.08942528 1
0.4%
38.0892922 1
0.4%
38.0653647 1
0.4%
38.05228757 1
0.4%
38.03956926 1
0.4%
38.0353437 1
0.4%
38.02997501 1
0.4%
38.02459472 1
0.4%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct256
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.20958
Minimum127.10442
Maximum127.36866
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T00:01:47.199137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.10442
5-th percentile127.13074
Q1127.15894
median127.20152
Q3127.24366
95-th percentile127.32815
Maximum127.36866
Range0.2642362
Interquartile range (IQR)0.08472025

Descriptive statistics

Standard deviation0.06201241
Coefficient of variation (CV)0.00048748223
Kurtosis-0.094672201
Mean127.20958
Median Absolute Deviation (MAD)0.0425786
Skewness0.71585865
Sum32820.072
Variance0.003845539
MonotonicityNot monotonic
2023-12-13T00:01:47.360353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.2274245 2
 
0.8%
127.1436373 2
 
0.8%
127.3681884 1
 
0.4%
127.1696184 1
 
0.4%
127.2470948 1
 
0.4%
127.1301138 1
 
0.4%
127.2108592 1
 
0.4%
127.187549 1
 
0.4%
127.240552 1
 
0.4%
127.139572 1
 
0.4%
Other values (246) 246
95.3%
ValueCountFrequency (%)
127.1044209 1
0.4%
127.1154281 1
0.4%
127.1159843 1
0.4%
127.1229199 1
0.4%
127.1231467 1
0.4%
127.1255458 1
0.4%
127.1260017 1
0.4%
127.1261712 1
0.4%
127.1264778 1
0.4%
127.1286427 1
0.4%
ValueCountFrequency (%)
127.3686571 1
0.4%
127.3683252 1
0.4%
127.3681884 1
0.4%
127.3678666 1
0.4%
127.3664697 1
0.4%
127.3651479 1
0.4%
127.3609727 1
0.4%
127.3572234 1
0.4%
127.3545342 1
0.4%
127.352091 1
0.4%

장비종류
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
LED
132 
LCD
118 
알뜰형LED
 
8

Length

Max length6
Median length3
Mean length3.0930233
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowLCD
2nd rowLCD
3rd rowLCD
4th rowLCD
5th rowLCD

Common Values

ValueCountFrequency (%)
LED 132
51.2%
LCD 118
45.7%
알뜰형LED 8
 
3.1%

Length

2023-12-13T00:01:47.499700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:01:47.620724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
led 132
51.2%
lcd 118
45.7%
알뜰형led 8
 
3.1%

방향
Categorical

Distinct21
Distinct (%)8.1%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
의정부방향
135 
포천방향
59 
도평리방향
16 
송우리방향
 
11
일동방향
 
6
Other values (16)
31 

Length

Max length7
Median length5
Mean length4.7403101
Min length4

Unique

Unique9 ?
Unique (%)3.5%

Sample

1st row초가팔리방향
2nd row초가팔리방향
3rd row포천방향
4th row의정부방향
5th row의정부방향

Common Values

ValueCountFrequency (%)
의정부방향 135
52.3%
포천방향 59
22.9%
도평리방향 16
 
6.2%
송우리방향 11
 
4.3%
일동방향 6
 
2.3%
초가팔리방향 5
 
1.9%
관인방향 5
 
1.9%
금현리방향 3
 
1.2%
<NA> 3
 
1.2%
금현,무림방향 2
 
0.8%
Other values (11) 13
 
5.0%

Length

2023-12-13T00:01:47.747412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
의정부방향 135
52.3%
포천방향 59
22.9%
도평리방향 16
 
6.2%
송우리방향 11
 
4.3%
일동방향 6
 
2.3%
초가팔리방향 5
 
1.9%
관인방향 5
 
1.9%
금현리방향 3
 
1.2%
na 3
 
1.2%
무림리방향 2
 
0.8%
Other values (11) 13
 
5.0%

운영현황
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
운영중
237 
철거
 
21

Length

Max length3
Median length3
Mean length2.9186047
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row운영중
2nd row운영중
3rd row운영중
4th row운영중
5th row운영중

Common Values

ValueCountFrequency (%)
운영중 237
91.9%
철거 21
 
8.1%

Length

2023-12-13T00:01:47.887213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:01:47.979919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 237
91.9%
철거 21
 
8.1%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
Minimum2020-06-30 00:00:00
Maximum2020-06-30 00:00:00
2023-12-13T00:01:48.084055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:48.206460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T00:01:44.113945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:42.604973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:43.345267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:43.754400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:44.190687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:42.711020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:43.438496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:43.835444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:44.280935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:42.837303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:43.544378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:43.930873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:44.378123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:43.244214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:43.660350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:01:44.031971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:01:48.299604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번모바일ID위도경도장비종류방향운영현황
연번1.0000.6980.6660.7140.8110.4760.179
모바일ID0.6981.0000.7600.9320.2000.5010.142
위도0.6660.7601.0000.8780.0370.6450.427
경도0.7140.9320.8781.0000.2390.6110.306
장비종류0.8110.2000.0370.2391.0000.3860.000
방향0.4760.5010.6450.6110.3861.0000.000
운영현황0.1790.1420.4270.3060.0000.0001.000
2023-12-13T00:01:48.414645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
장비종류운영현황방향
장비종류1.0000.0000.213
운영현황0.0001.0000.000
방향0.2130.0001.000
2023-12-13T00:01:48.509254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번모바일ID위도경도장비종류방향운영현황
연번1.0000.068-0.0220.0230.6980.1650.134
모바일ID0.0681.0000.5600.8290.1210.1760.131
위도-0.0220.5601.0000.5740.0180.2530.323
경도0.0230.8290.5741.0000.1440.2320.231
장비종류0.6980.1210.0180.1441.0000.2130.000
방향0.1650.1760.2530.2320.2131.0000.000
운영현황0.1340.1310.3230.2310.0000.0001.000

Missing values

2023-12-13T00:01:44.492234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:01:44.660539image/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

연번모바일IDBIT설치 승강장명승강장 주소위도경도장비종류방향운영현황데이터기준일
0141156궁말.금현2리경기도 포천시 가산면 금현리 778-137.819233127.192504LCD초가팔리방향운영중2020-06-30
1241184금현3리.대대울경기도 포천시 가산면 금현리 139-237.822843127.199748LCD초가팔리방향운영중2020-06-30
2340426마산3리경기도 포천시 가산면 마산리 151-1237.847394127.188804LCD포천방향운영중2020-06-30
3441062방축1리.화산서원경기도 포천시 가산면 방축리 145-237.840141127.176971LCD의정부방향운영중2020-06-30
4541043성불암.방축2리경기도 포천시 가산면 방축리 382-137.839225127.16905LCD의정부방향운영중2020-06-30
5641038방축3리.군자정경기도 포천시 가산면 방축리 488-237.838032127.165276LCD포천방향운영중2020-06-30
6741063방축1리.화산서원경기도 포천시 가산면 방축리 44-137.839979127.176891LCD포천방향운영중2020-06-30
7841039방축3리.군자정경기도 포천시 가산면 방축리 402-137.838175127.165503LCD의정부방향운영중2020-06-30
8941092정교리.용화슈퍼경기도 포천시 가산면 정교리 51-637.814481127.183633LCD금현리방향운영중2020-06-30
91041058정교리.정교주유소경기도 포천시 가산면 정교리 360-337.814583127.173783LCD초가팔리방향운영중2020-06-30
연번모바일IDBIT설치 승강장명승강장 주소위도경도장비종류방향운영현황데이터기준일
24824941491길명2리.길명주유소경기도 포천시 일동면 길명리 450-337.938685127.284009LED도평리방향운영중2020-06-30
24925041441서두머리.야미2리경기도 포천시 영북면 야미리 440-2938.039569127.264733LCD의정부방향운영중2020-06-30
25025141449길명1리.꼭두바위경기도 포천시 일동면 길명리 767-237.930298127.268542알뜰형LED도평리방향운영중2020-06-30
25125241612연곡3리.만가대경기도 포천시 이동면 연곡리 807-538.010859127.368325알뜰형LED의정부방향운영중2020-06-30
25225341219좌의1리경기도 포천시 군내면 유교리 106-337.863859127.207414알뜰형LED포천방향운영중2020-06-30
25325440524설운체육공원앞경기도 포천시 설운동 559-2437.859001127.140368알뜰형LED포천방향운영중2020-06-30
25425540251포천시의료원경기도 포천시 신읍동 238-237.902136127.19872알뜰형LED포천방향운영중2020-06-30
25525641384베어스타운경기도 포천시 내촌면 내리 150-437.796648127.241268알뜰형LED소학리방향운영중2020-06-30
25625741256진목3리.죽엽산경기도 포천시 내촌면 진목리 647-1237.791314127.213277알뜰형LED<NA>운영중2020-06-30
25725841492길명2리.길명주유소경기도 포천시 일동면 길명리 450-237.938686127.28385알뜰형LED<NA>운영중2020-06-30