Overview

Dataset statistics

Number of variables9
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory830.1 KiB
Average record size in memory85.0 B

Variable types

Numeric4
Text2
Categorical3

Dataset

Description2021년 기업매칭 지원사업(가로망주정차현황정보) 수행에 따른 결과물로, 노상주차면 정보에 대한 데이터입니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15095878/fileData.do

Alerts

공간정보아이디 is highly overall correlated with 위도 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 구군코드 and 2 other fieldsHigh correlation
위도 is highly overall correlated with 공간정보아이디 and 2 other fieldsHigh correlation
구군코드 is highly overall correlated with 경도 and 3 other fieldsHigh correlation
구군명 is highly overall correlated with 공간정보아이디 and 4 other fieldsHigh correlation
주차급지 is highly overall correlated with 경도 and 2 other fieldsHigh correlation
유무료여부 is highly imbalanced (53.9%)Imbalance
공간정보아이디 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:06:20.800129
Analysis finished2023-12-12 16:06:23.489543
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19990.512
Minimum3
Maximum39890
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:06:23.573928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile2048.95
Q110113.75
median20045.5
Q329803.5
95-th percentile37864.1
Maximum39890
Range39887
Interquartile range (IQR)19689.75

Descriptive statistics

Standard deviation11450.674
Coefficient of variation (CV)0.57280545
Kurtosis-1.189066
Mean19990.512
Median Absolute Deviation (MAD)9835.5
Skewness-0.0059665173
Sum1.9990512 × 108
Variance1.3111794 × 108
MonotonicityNot monotonic
2023-12-13T01:06:23.788740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14812 1
 
< 0.1%
16063 1
 
< 0.1%
17396 1
 
< 0.1%
18010 1
 
< 0.1%
17882 1
 
< 0.1%
36358 1
 
< 0.1%
28393 1
 
< 0.1%
10113 1
 
< 0.1%
19514 1
 
< 0.1%
2869 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
3 1
< 0.1%
5 1
< 0.1%
8 1
< 0.1%
10 1
< 0.1%
18 1
< 0.1%
22 1
< 0.1%
25 1
< 0.1%
26 1
< 0.1%
36 1
< 0.1%
37 1
< 0.1%
ValueCountFrequency (%)
39890 1
< 0.1%
39889 1
< 0.1%
39879 1
< 0.1%
39876 1
< 0.1%
39866 1
< 0.1%
39864 1
< 0.1%
39858 1
< 0.1%
39857 1
< 0.1%
39839 1
< 0.1%
39837 1
< 0.1%

주차장명
Text

Distinct1177
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:06:24.222167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length7.8434
Min length3

Characters and Unicode

Total characters78434
Distinct characters315
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)1.6%

Sample

1st row칠성남로(1)
2nd row큰장로26안길인근
3rd row논공경일아파트남측
4th row논공로1
5th row달서대로95길(4)
ValueCountFrequency (%)
중구거주자우선주차 325
 
2.8%
주변 172
 
1.5%
염색공단중앙로 130
 
1.1%
염색공단로 109
 
1.0%
달서천로 108
 
0.9%
서대구로 108
 
0.9%
염색공단천로 106
 
0.9%
북측 83
 
0.7%
남측 83
 
0.7%
성서4차첨단로(1 79
 
0.7%
Other values (1184) 10151
88.6%
2023-12-13T01:06:24.863938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 8094
 
10.3%
길 5005
 
6.4%
1 2655
 
3.4%
2 2465
 
3.1%
서 2334
 
3.0%
( 2293
 
2.9%
) 2292
 
2.9%
공 2006
 
2.6%
대 1896
 
2.4%
3 1621
 
2.1%
Other values (305) 47773
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59831
76.3%
Decimal Number 12222
 
15.6%
Open Punctuation 2293
 
2.9%
Close Punctuation 2292
 
2.9%
Space Separator 1456
 
1.9%
Math Symbol 168
 
0.2%
Dash Punctuation 86
 
0.1%
Uppercase Letter 68
 
0.1%
Other Punctuation 13
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 8094
 
13.5%
길 5005
 
8.4%
서 2334
 
3.9%
공 2006
 
3.4%
대 1896
 
3.2%
인 1619
 
2.7%
근 1590
 
2.7%
성 1398
 
2.3%
동 1285
 
2.1%
구 1260
 
2.1%
Other values (280) 33344
55.7%
Decimal Number
ValueCountFrequency (%)
1 2655
21.7%
2 2465
20.2%
3 1621
13.3%
4 1363
11.2%
5 1224
10.0%
6 705
 
5.8%
9 673
 
5.5%
8 568
 
4.6%
7 557
 
4.6%
0 391
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
K 19
27.9%
E 17
25.0%
T 14
20.6%
G 10
14.7%
S 4
 
5.9%
C 2
 
2.9%
B 2
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 12
92.3%
· 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 2293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2292
100.0%
Space Separator
ValueCountFrequency (%)
1456
100.0%
Math Symbol
ValueCountFrequency (%)
~ 168
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59831
76.3%
Common 18530
 
23.6%
Latin 73
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 8094
 
13.5%
길 5005
 
8.4%
서 2334
 
3.9%
공 2006
 
3.4%
대 1896
 
3.2%
인 1619
 
2.7%
근 1590
 
2.7%
성 1398
 
2.3%
동 1285
 
2.1%
구 1260
 
2.1%
Other values (280) 33344
55.7%
Common
ValueCountFrequency (%)
1 2655
14.3%
2 2465
13.3%
( 2293
12.4%
) 2292
12.4%
3 1621
8.7%
1456
7.9%
4 1363
7.4%
5 1224
6.6%
6 705
 
3.8%
9 673
 
3.6%
Other values (7) 1783
9.6%
Latin
ValueCountFrequency (%)
K 19
26.0%
E 17
23.3%
T 14
19.2%
G 10
13.7%
e 5
 
6.8%
S 4
 
5.5%
C 2
 
2.7%
B 2
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59831
76.3%
ASCII 18602
 
23.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 8094
 
13.5%
길 5005
 
8.4%
서 2334
 
3.9%
공 2006
 
3.4%
대 1896
 
3.2%
인 1619
 
2.7%
근 1590
 
2.7%
성 1398
 
2.3%
동 1285
 
2.1%
구 1260
 
2.1%
Other values (280) 33344
55.7%
ASCII
ValueCountFrequency (%)
1 2655
14.3%
2 2465
13.3%
( 2293
12.3%
) 2292
12.3%
3 1621
8.7%
1456
7.8%
4 1363
7.3%
5 1224
6.6%
6 705
 
3.8%
9 673
 
3.6%
Other values (14) 1855
10.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명
Text

Distinct933
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T01:06:25.189926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.6081
Min length3

Characters and Unicode

Total characters56081
Distinct characters181
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)1.3%

Sample

1st row칠성남로
2nd row큰장로26안길
3rd row논공로7길
4th row논공로
5th row달서대로95길
ValueCountFrequency (%)
논공로 203
 
2.0%
성서공단북로 174
 
1.7%
세천로1길 147
 
1.5%
성서4차첨단로 143
 
1.4%
성서서로 132
 
1.3%
달서천로 102
 
1.0%
성서공단남로 88
 
0.9%
범어천로 87
 
0.9%
국채보상로 84
 
0.8%
달서대로95길 83
 
0.8%
Other values (923) 8757
87.6%
2023-12-13T01:06:25.811064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 9694
 
17.3%
길 6368
 
11.4%
1 2087
 
3.7%
서 1721
 
3.1%
공 1694
 
3.0%
2 1615
 
2.9%
대 1537
 
2.7%
4 1533
 
2.7%
3 1507
 
2.7%
5 1495
 
2.7%
Other values (171) 26830
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44272
78.9%
Decimal Number 11804
 
21.0%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 9694
21.9%
길 6368
 
14.4%
서 1721
 
3.9%
공 1694
 
3.8%
대 1537
 
3.5%
성 1322
 
3.0%
단 1010
 
2.3%
달 912
 
2.1%
동 896
 
2.0%
천 885
 
2.0%
Other values (160) 18233
41.2%
Decimal Number
ValueCountFrequency (%)
1 2087
17.7%
2 1615
13.7%
4 1533
13.0%
3 1507
12.8%
5 1495
12.7%
9 827
 
7.0%
6 745
 
6.3%
7 719
 
6.1%
8 685
 
5.8%
0 591
 
5.0%
Other Punctuation
ValueCountFrequency (%)
· 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44272
78.9%
Common 11809
 
21.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 9694
21.9%
길 6368
 
14.4%
서 1721
 
3.9%
공 1694
 
3.8%
대 1537
 
3.5%
성 1322
 
3.0%
단 1010
 
2.3%
달 912
 
2.1%
동 896
 
2.0%
천 885
 
2.0%
Other values (160) 18233
41.2%
Common
ValueCountFrequency (%)
1 2087
17.7%
2 1615
13.7%
4 1533
13.0%
3 1507
12.8%
5 1495
12.7%
9 827
 
7.0%
6 745
 
6.3%
7 719
 
6.1%
8 685
 
5.8%
0 591
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44272
78.9%
ASCII 11804
 
21.0%
None 5
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 9694
21.9%
길 6368
 
14.4%
서 1721
 
3.9%
공 1694
 
3.8%
대 1537
 
3.5%
성 1322
 
3.0%
단 1010
 
2.3%
달 912
 
2.1%
동 896
 
2.0%
천 885
 
2.0%
Other values (160) 18233
41.2%
ASCII
ValueCountFrequency (%)
1 2087
17.7%
2 1615
13.7%
4 1533
13.0%
3 1507
12.8%
5 1495
12.7%
9 827
 
7.0%
6 745
 
6.3%
7 719
 
6.1%
8 685
 
5.8%
0 591
 
5.0%
None
ValueCountFrequency (%)
· 5
100.0%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct9467
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.56575
Minimum128.41654
Maximum128.74931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:06:25.996656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.41654
5-th percentile128.45684
Q1128.51901
median128.57074
Q3128.6122
95-th percentile128.64919
Maximum128.74931
Range0.33277
Interquartile range (IQR)0.0931835

Descriptive statistics

Standard deviation0.062017213
Coefficient of variation (CV)0.00048237741
Kurtosis-0.54999444
Mean128.56575
Median Absolute Deviation (MAD)0.0425385
Skewness-0.20835035
Sum1285657.5
Variance0.0038461347
MonotonicityNot monotonic
2023-12-13T01:06:26.207154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.481184 16
 
0.2%
128.52586 11
 
0.1%
128.481185 11
 
0.1%
128.616875 8
 
0.1%
128.50716 8
 
0.1%
128.491779 6
 
0.1%
128.616636 5
 
0.1%
128.499889 5
 
0.1%
128.502285 5
 
0.1%
128.553879 5
 
0.1%
Other values (9457) 9920
99.2%
ValueCountFrequency (%)
128.416536 1
< 0.1%
128.416589 1
< 0.1%
128.416959 1
< 0.1%
128.418224 1
< 0.1%
128.418264 1
< 0.1%
128.418371 1
< 0.1%
128.418542 1
< 0.1%
128.418649 1
< 0.1%
128.43201 1
< 0.1%
128.432226 1
< 0.1%
ValueCountFrequency (%)
128.749306 1
< 0.1%
128.749253 1
< 0.1%
128.735119 1
< 0.1%
128.735055 1
< 0.1%
128.734927 1
< 0.1%
128.734414 1
< 0.1%
128.73435 1
< 0.1%
128.73403 1
< 0.1%
128.733966 1
< 0.1%
128.724625 1
< 0.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct9286
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.854819
Minimum35.644772
Maximum35.952092
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:06:26.403022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.644772
5-th percentile35.732358
Q135.84105
median35.864606
Q335.88272
95-th percentile35.917549
Maximum35.952092
Range0.30732
Interquartile range (IQR)0.04166975

Descriptive statistics

Standard deviation0.048430212
Coefficient of variation (CV)0.0013507309
Kurtosis3.0199139
Mean35.854819
Median Absolute Deviation (MAD)0.0208145
Skewness-1.4875258
Sum358548.19
Variance0.0023454854
MonotonicityNot monotonic
2023-12-13T01:06:26.601001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.841954 16
 
0.2%
35.841955 10
 
0.1%
35.842061 7
 
0.1%
35.871872 6
 
0.1%
35.83484 6
 
0.1%
35.837219 6
 
0.1%
35.842047 6
 
0.1%
35.848132 5
 
0.1%
35.837148 5
 
0.1%
35.824753 5
 
0.1%
Other values (9276) 9928
99.3%
ValueCountFrequency (%)
35.644772 1
< 0.1%
35.644974 1
< 0.1%
35.645213 1
< 0.1%
35.645312 1
< 0.1%
35.645671 1
< 0.1%
35.645695 1
< 0.1%
35.645747 1
< 0.1%
35.64579 1
< 0.1%
35.64595 1
< 0.1%
35.646111 1
< 0.1%
ValueCountFrequency (%)
35.952092 1
< 0.1%
35.952043 1
< 0.1%
35.951689 1
< 0.1%
35.951593 1
< 0.1%
35.951547 1
< 0.1%
35.951357 1
< 0.1%
35.951309 1
< 0.1%
35.951216 1
< 0.1%
35.951169 1
< 0.1%
35.950807 1
< 0.1%

구군코드
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.8474
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T01:06:26.743179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.2252659
Coefficient of variation (CV)0.45906381
Kurtosis-1.1704183
Mean4.8474
Median Absolute Deviation (MAD)2
Skewness-0.20831336
Sum48474
Variance4.9518084
MonotonicityNot monotonic
2023-12-13T01:06:26.876917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
5 1702
17.0%
7 1621
16.2%
3 1399
14.0%
8 1351
13.5%
6 1321
13.2%
2 1055
10.5%
1 876
8.8%
4 675
 
6.8%
ValueCountFrequency (%)
1 876
8.8%
2 1055
10.5%
3 1399
14.0%
4 675
 
6.8%
5 1702
17.0%
6 1321
13.2%
7 1621
16.2%
8 1351
13.5%
ValueCountFrequency (%)
8 1351
13.5%
7 1621
16.2%
6 1321
13.2%
5 1702
17.0%
4 675
 
6.8%
3 1399
14.0%
2 1055
10.5%
1 876
8.8%

구군명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
북구
1702 
달서구
1621 
서구
1399 
달성군
1351 
수성구
1321 
Other values (3)
2606 

Length

Max length3
Median length2
Mean length2.4293
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row북구
2nd row중구
3rd row달성군
4th row달성군
5th row달서구

Common Values

ValueCountFrequency (%)
북구 1702
17.0%
달서구 1621
16.2%
서구 1399
14.0%
달성군 1351
13.5%
수성구 1321
13.2%
동구 1055
10.5%
중구 876
8.8%
남구 675
 
6.8%

Length

2023-12-13T01:06:27.014203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:06:27.140553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
북구 1702
17.0%
달서구 1621
16.2%
서구 1399
14.0%
달성군 1351
13.5%
수성구 1321
13.2%
동구 1055
10.5%
중구 876
8.8%
남구 675
 
6.8%

유무료여부
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
무료
8562 
유료
914 
거주자우선주차
 
524

Length

Max length7
Median length2
Mean length2.262
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
무료 8562
85.6%
유료 914
 
9.1%
거주자우선주차 524
 
5.2%

Length

2023-12-13T01:06:27.303247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:06:27.407525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료 8562
85.6%
유료 914
 
9.1%
거주자우선주차 524
 
5.2%

주차급지
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
3
4855 
2
3135 
1
2010 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 4855
48.5%
2 3135
31.4%
1 2010
20.1%

Length

2023-12-13T01:06:27.529287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:06:27.623295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 4855
48.5%
2 3135
31.4%
1 2010
20.1%

Interactions

2023-12-13T01:06:22.792173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:21.641361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:22.013890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:22.390652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:22.901874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:21.735412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:22.105620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:22.508362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:23.013461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:21.839382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:22.195902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:22.602591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:23.125751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:21.926529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:22.294107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:06:22.695468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:06:27.968611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보아이디경도위도구군코드구군명유무료여부주차급지
공간정보아이디1.0000.7840.8010.8490.8490.5000.557
경도0.7841.0000.8130.8370.8370.4550.675
위도0.8010.8131.0000.7810.7810.3750.545
구군코드0.8490.8370.7811.0001.0000.5760.702
구군명0.8490.8370.7811.0001.0000.5760.702
유무료여부0.5000.4550.3750.5760.5761.0000.675
주차급지0.5570.6750.5450.7020.7020.6751.000
2023-12-13T01:06:28.073465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차급지구군명유무료여부
주차급지1.0000.5890.333
구군명0.5891.0000.443
유무료여부0.3330.4431.000
2023-12-13T01:06:28.171151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보아이디경도위도구군코드구군명유무료여부주차급지
공간정보아이디1.000-0.154-0.5380.1420.6260.3470.400
경도-0.1541.0000.374-0.6030.6060.3080.527
위도-0.5380.3741.000-0.5750.5240.2430.389
구군코드0.142-0.603-0.5751.0001.0000.4430.589
구군명0.6260.6060.5241.0001.0000.4430.589
유무료여부0.3470.3080.2430.4430.4431.0000.333
주차급지0.4000.5270.3890.5890.5890.3331.000

Missing values

2023-12-13T01:06:23.276979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:06:23.431064image/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

공간정보아이디주차장명도로명경도위도구군코드구군명유무료여부주차급지
858314812칠성남로(1)칠성남로128.58426935.8795335북구무료1
1717635987큰장로26안길인근큰장로26안길128.57723635.8664381중구무료1
3249825485논공경일아파트남측논공로7길128.43928635.7307788달성군무료3
3605030241논공로1논공로128.44089535.7279988달성군무료3
2917319715달서대로95길(4)달서대로95길128.48612835.8420547달서구무료3
1938038527신천시장들안로128.61814735.8664556수성구무료1
2516110512달서천로(달서교~평리교)달서천로128.54091235.8829843서구무료3
225355244동촌로46길동촌로46길128.66268235.8794282동구무료3
27154319칠성남로26길칠성남로26길128.59096235.877715북구무료1
1638435195중구거주자우선주차대봉로43안길128.59953935.8574491중구거주자우선주차1
공간정보아이디주차장명도로명경도위도구군코드구군명유무료여부주차급지
224685177방촌로서편방촌로128.6591435.8858932동구무료3
22953577북구대구체육관동측대구체육관로11길128.60456235.8937275북구무료2
3006620625성서공단북로(4)성서공단북로128.50936735.8434617달서구무료3
23523714노원로(2)노원로128.57347435.8959755북구유료2
1559834409큰장로26안길인근큰장로26안길128.57617535.8657961중구무료1
1053118269와룡로45길(용산중학교앞)와룡로45길128.5331335.8533987달서구무료2
20742814범안로3안길인근범안로3안길128.63905635.8177646수성구무료3
1813037021지범로17길인근지범로17길128.62627835.8276856수성구무료2
3796732160논공중앙로2논공중앙로128.4567235.7311558달성군무료3
850814737대구시민운동장남측고성로128.58540335.8805825북구유료1