Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells25036
Missing cells (%)25.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory918.0 KiB
Average record size in memory94.0 B

Variable types

Numeric4
Text2
Unsupported3
Boolean1

Dataset

Description교통영향평가정보 중 표준노드에 대한 데이터를 제공합니다. X좌표, Y좌표와 접근로 개수 노드유형, 노드명등의 정보를 제공합니다.
Author국토교통부
URLhttps://www.data.go.kr/data/15123309/fileData.do

Alerts

사용여부 has constant value ""Constant
노드아이디 is highly overall correlated with 권역코드 and 1 other fieldsHigh correlation
권역코드 is highly overall correlated with 노드아이디 and 1 other fieldsHigh correlation
Y좌표(구좌표) is highly overall correlated with 노드아이디 and 1 other fieldsHigh correlation
노드명 has 4346 (43.5%) missing valuesMissing
권역코드 has 334 (3.3%) missing valuesMissing
노드유형코드 has 356 (3.6%) missing valuesMissing
X좌표 has 10000 (100.0%) missing valuesMissing
Y좌표 has 10000 (100.0%) missing valuesMissing
노드아이디 has unique valuesUnique
X좌표(구좌표) has unique valuesUnique
Y좌표(구좌표) has unique valuesUnique
노드유형코드 is an unsupported type, check if it needs cleaning or further analysisUnsupported
X좌표 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Y좌표 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 14:01:05.045835
Analysis finished2023-12-12 14:01:08.289548
Duration3.24 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

노드아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.8482869 × 109
Minimum1.0000056 × 109
Maximum9.996006 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:01:08.375633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.0000056 × 109
5-th percentile1.1600201 × 109
Q12.0900216 × 109
median2.5900026 × 109
Q33.3200216 × 109
95-th percentile4.0600195 × 109
Maximum9.996006 × 109
Range8.9960004 × 109
Interquartile range (IQR)1.23 × 109

Descriptive statistics

Standard deviation1.5438852 × 109
Coefficient of variation (CV)0.54203992
Kurtosis12.294369
Mean2.8482869 × 109
Median Absolute Deviation (MAD)6.4999455 × 108
Skewness3.1117908
Sum2.8482869 × 1013
Variance2.3835815 × 1018
MonotonicityNot monotonic
2023-12-12T23:01:08.521049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2620007200 1
 
< 0.1%
3876001000 1
 
< 0.1%
2370018100 1
 
< 0.1%
2970002200 1
 
< 0.1%
4050003801 1
 
< 0.1%
3510048100 1
 
< 0.1%
1000005600 1
 
< 0.1%
1790010300 1
 
< 0.1%
3800068400 1
 
< 0.1%
1230016900 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1000005600 1
< 0.1%
1000006600 1
< 0.1%
1000007800 1
< 0.1%
1000011200 1
< 0.1%
1000012600 1
< 0.1%
1000012800 1
< 0.1%
1000013800 1
< 0.1%
1000014300 1
< 0.1%
1000014800 1
< 0.1%
1000015600 1
< 0.1%
ValueCountFrequency (%)
9996006029 1
< 0.1%
9996005993 1
< 0.1%
9996005962 1
< 0.1%
9996005947 1
< 0.1%
9996005933 1
< 0.1%
9996005923 1
< 0.1%
9996005920 1
< 0.1%
9996005919 1
< 0.1%
9996005904 1
< 0.1%
9996005903 1
< 0.1%

노드명
Text

MISSING 

Distinct5024
Distinct (%)88.9%
Missing4346
Missing (%)43.5%
Memory size156.2 KiB
2023-12-12T23:01:09.006474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.7164839
Min length1

Characters and Unicode

Total characters37975
Distinct characters668
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4879 ?
Unique (%)86.3%

Sample

1st row장풍교
2nd row칠곡네거리
3rd row어린이보호구역
4th row고성사거리
5th row없음
ValueCountFrequency (%)
없음 350
 
5.9%
어린이보호구역 66
 
1.1%
앞 41
 
0.7%
삼거리 34
 
0.6%
교차로 30
 
0.5%
행정경계 26
 
0.4%
사거리 24
 
0.4%
입구 12
 
0.2%
어린이보호 12
 
0.2%
진영코아루아파트남측교차로 11
 
0.2%
Other values (5080) 5360
89.8%
2023-12-12T23:01:09.796228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 2342
 
6.2%
( 1578
 
4.2%
) 1569
 
4.1%
리 1164
 
3.1%
로 1148
 
3.0%
거 915
 
2.4%
차 889
 
2.3%
앞 808
 
2.1%
동 645
 
1.7%
사 579
 
1.5%
Other values (658) 26338
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31537
83.0%
Open Punctuation 1578
 
4.2%
Decimal Number 1570
 
4.1%
Close Punctuation 1569
 
4.1%
Uppercase Letter 687
 
1.8%
Connector Punctuation 436
 
1.1%
Space Separator 312
 
0.8%
Dash Punctuation 166
 
0.4%
Other Punctuation 92
 
0.2%
Lowercase Letter 27
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 2342
 
7.4%
리 1164
 
3.7%
로 1148
 
3.6%
거 915
 
2.9%
차 889
 
2.8%
앞 808
 
2.6%
동 645
 
2.0%
사 579
 
1.8%
삼 547
 
1.7%
구 501
 
1.6%
Other values (596) 21999
69.8%
Uppercase Letter
ValueCountFrequency (%)
C 257
37.4%
I 219
31.9%
A 22
 
3.2%
T 22
 
3.2%
G 20
 
2.9%
S 19
 
2.8%
B 17
 
2.5%
J 16
 
2.3%
K 12
 
1.7%
L 10
 
1.5%
Other values (15) 73
 
10.6%
Lowercase Letter
ValueCountFrequency (%)
l 4
14.8%
k 3
11.1%
s 3
11.1%
m 2
 
7.4%
i 2
 
7.4%
b 2
 
7.4%
e 2
 
7.4%
o 1
 
3.7%
w 1
 
3.7%
r 1
 
3.7%
Other values (6) 6
22.2%
Decimal Number
ValueCountFrequency (%)
1 477
30.4%
2 337
21.5%
3 189
 
12.0%
4 127
 
8.1%
0 105
 
6.7%
5 91
 
5.8%
6 81
 
5.2%
7 70
 
4.5%
8 48
 
3.1%
9 45
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 75
81.5%
, 7
 
7.6%
/ 6
 
6.5%
& 2
 
2.2%
' 2
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 1578
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1569
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 436
100.0%
Space Separator
ValueCountFrequency (%)
312
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 166
100.0%
Other Number
ValueCountFrequency (%)
② 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31537
83.0%
Common 5724
 
15.1%
Latin 714
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 2342
 
7.4%
리 1164
 
3.7%
로 1148
 
3.6%
거 915
 
2.9%
차 889
 
2.8%
앞 808
 
2.6%
동 645
 
2.0%
사 579
 
1.8%
삼 547
 
1.7%
구 501
 
1.6%
Other values (596) 21999
69.8%
Latin
ValueCountFrequency (%)
C 257
36.0%
I 219
30.7%
A 22
 
3.1%
T 22
 
3.1%
G 20
 
2.8%
S 19
 
2.7%
B 17
 
2.4%
J 16
 
2.2%
K 12
 
1.7%
L 10
 
1.4%
Other values (31) 100
 
14.0%
Common
ValueCountFrequency (%)
( 1578
27.6%
) 1569
27.4%
1 477
 
8.3%
_ 436
 
7.6%
2 337
 
5.9%
312
 
5.5%
3 189
 
3.3%
- 166
 
2.9%
4 127
 
2.2%
0 105
 
1.8%
Other values (11) 428
 
7.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31537
83.0%
ASCII 6437
 
17.0%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 2342
 
7.4%
리 1164
 
3.7%
로 1148
 
3.6%
거 915
 
2.9%
차 889
 
2.8%
앞 808
 
2.6%
동 645
 
2.0%
사 579
 
1.8%
삼 547
 
1.7%
구 501
 
1.6%
Other values (596) 21999
69.8%
ASCII
ValueCountFrequency (%)
( 1578
24.5%
) 1569
24.4%
1 477
 
7.4%
_ 436
 
6.8%
2 337
 
5.2%
312
 
4.8%
C 257
 
4.0%
I 219
 
3.4%
3 189
 
2.9%
- 166
 
2.6%
Other values (51) 897
13.9%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
100.0%

권역코드
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct245
Distinct (%)2.5%
Missing334
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean39474.263
Minimum11110
Maximum49130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:01:10.397297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11530
Q141150
median42150
Q346150
95-th percentile48730
Maximum49130
Range38020
Interquartile range (IQR)5000

Descriptive statistics

Standard deviation10418.965
Coefficient of variation (CV)0.26394325
Kurtosis1.8547466
Mean39474.263
Median Absolute Deviation (MAD)3620
Skewness-1.6898506
Sum3.8155822 × 108
Variance1.0855484 × 108
MonotonicityNot monotonic
2023-12-12T23:01:10.553624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48250 207
 
2.1%
42130 197
 
2.0%
44130 187
 
1.9%
41590 183
 
1.8%
45140 177
 
1.8%
49110 145
 
1.5%
43130 136
 
1.4%
49130 127
 
1.3%
41360 125
 
1.2%
41480 124
 
1.2%
Other values (235) 8058
80.6%
(Missing) 334
 
3.3%
ValueCountFrequency (%)
11110 25
0.2%
11140 28
0.3%
11170 33
0.3%
11200 24
0.2%
11215 28
0.3%
11230 36
0.4%
11260 19
0.2%
11290 30
0.3%
11305 16
0.2%
11320 15
0.1%
ValueCountFrequency (%)
49130 127
1.3%
49110 145
1.5%
48890 28
 
0.3%
48880 18
 
0.2%
48870 14
 
0.1%
48860 27
 
0.3%
48850 29
 
0.3%
48840 8
 
0.1%
48820 25
 
0.2%
48740 41
 
0.4%

노드유형코드
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing356
Missing (%)3.6%
Memory size156.2 KiB

X좌표(구좌표)
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248697.26
Minimum102322.18
Maximum431112.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-12T23:01:10.724736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum102322.18
5-th percentile158671.36
Q1192825.38
median219615.9
Q3297514.64
95-th percentile397685.7
Maximum431112.33
Range328790.15
Interquartile range (IQR)104689.26

Descriptive statistics

Standard deviation75489.704
Coefficient of variation (CV)0.30354056
Kurtosis-0.55786531
Mean248697.26
Median Absolute Deviation (MAD)37273.937
Skewness0.79321858
Sum2.4869726 × 109
Variance5.6986955 × 109
MonotonicityNot monotonic
2023-12-12T23:01:10.889906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230592.5317 1
 
< 0.1%
346066.3901 1
 
< 0.1%
252495.2762 1
 
< 0.1%
166117.2479 1
 
< 0.1%
149883.1774 1
 
< 0.1%
414895.7555 1
 
< 0.1%
200104.8 1
 
< 0.1%
179354.6126 1
 
< 0.1%
344649.123 1
 
< 0.1%
210480.8397 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
102322.1838 1
< 0.1%
102755.4597 1
< 0.1%
104139.3149 1
< 0.1%
112331.4466 1
< 0.1%
114603.4227 1
< 0.1%
117407.9041 1
< 0.1%
119848.0553 1
< 0.1%
119987.6552 1
< 0.1%
120586.8312 1
< 0.1%
120988.6816 1
< 0.1%
ValueCountFrequency (%)
431112.3333 1
< 0.1%
430418.8026 1
< 0.1%
430295.2927 1
< 0.1%
427998.2201 1
< 0.1%
427200.3719 1
< 0.1%
427158.0699 1
< 0.1%
427052.903 1
< 0.1%
427052.1194 1
< 0.1%
426058.4185 1
< 0.1%
425317.9496 1
< 0.1%

Y좌표(구좌표)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327564.82
Minimum-32083.16
Maximum543111.4
Zeros0
Zeros (%)0.0%
Negative214
Negative (%)2.1%
Memory size166.0 KiB
2023-12-12T23:01:11.079843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-32083.16
5-th percentile142159.62
Q1218460.05
median358961.21
Q3437840.74
95-th percentile478013.57
Maximum543111.4
Range575194.56
Interquartile range (IQR)219380.68

Descriptive statistics

Standard deviation124380.17
Coefficient of variation (CV)0.37971162
Kurtosis-0.44534836
Mean327564.82
Median Absolute Deviation (MAD)91261.938
Skewness-0.59903027
Sum3.2756482 × 109
Variance1.5470426 × 1010
MonotonicityNot monotonic
2023-12-12T23:01:11.262626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
526496.8655 1
 
< 0.1%
161980.3811 1
 
< 0.1%
430928.1896 1
 
< 0.1%
335017.7265 1
 
< 0.1%
-2439.252 1
 
< 0.1%
289442.8769 1
 
< 0.1%
453997.6425 1
 
< 0.1%
175749.5174 1
 
< 0.1%
194618.6039 1
 
< 0.1%
443156.7181 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
-32083.1603 1
< 0.1%
-30530.2288 1
< 0.1%
-30392.252 1
< 0.1%
-30280.6575 1
< 0.1%
-29279.2265 1
< 0.1%
-28817.4565 1
< 0.1%
-28730.6684 1
< 0.1%
-28403.1577 1
< 0.1%
-27619.4765 1
< 0.1%
-27507.5172 1
< 0.1%
ValueCountFrequency (%)
543111.3959 1
< 0.1%
543063.9058 1
< 0.1%
542920.1483 1
< 0.1%
532907.2648 1
< 0.1%
532645.1857 1
< 0.1%
530469.884 1
< 0.1%
529895.8401 1
< 0.1%
529466.0823 1
< 0.1%
528927.5009 1
< 0.1%
528305.4017 1
< 0.1%

X좌표
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Y좌표
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

노드위치
Text

Distinct485
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-12T23:01:11.591709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length8.4132
Min length7

Characters and Unicode

Total characters84132
Distinct characters212
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique175 ?
Unique (%)1.8%

Sample

1st row강원도 철원군
2nd row경기도 여주군
3rd row대구광역시 북구
4th row전라남도 화순군
5th row경상남도 고성군
ValueCountFrequency (%)
경기도 2480
 
12.2%
경상남도 877
 
4.3%
전라남도 876
 
4.3%
서울특별시 870
 
4.3%
경상북도 702
 
3.4%
충청북도 646
 
3.2%
충청남도 642
 
3.2%
강원도 641
 
3.1%
전라북도 639
 
3.1%
부산광역시 297
 
1.5%
Other values (493) 11708
57.5%
2023-12-12T23:01:12.075570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10378
 
12.3%
시 8082
 
9.6%
도 7844
 
9.3%
경 4184
 
5.0%
구 3397
 
4.0%
남 3087
 
3.7%
기 2530
 
3.0%
북 2263
 
2.7%
군 2239
 
2.7%
주 2184
 
2.6%
Other values (202) 37944
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 73747
87.7%
Space Separator 10378
 
12.3%
Decimal Number 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 8082
 
11.0%
도 7844
 
10.6%
경 4184
 
5.7%
구 3397
 
4.6%
남 3087
 
4.2%
기 2530
 
3.4%
북 2263
 
3.1%
군 2239
 
3.0%
주 2184
 
3.0%
광 1938
 
2.6%
Other values (198) 35999
48.8%
Decimal Number
ValueCountFrequency (%)
3 4
57.1%
1 2
28.6%
5 1
 
14.3%
Space Separator
ValueCountFrequency (%)
10378
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 73747
87.7%
Common 10385
 
12.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 8082
 
11.0%
도 7844
 
10.6%
경 4184
 
5.7%
구 3397
 
4.6%
남 3087
 
4.2%
기 2530
 
3.4%
북 2263
 
3.1%
군 2239
 
3.0%
주 2184
 
3.0%
광 1938
 
2.6%
Other values (198) 35999
48.8%
Common
ValueCountFrequency (%)
10378
99.9%
3 4
 
< 0.1%
1 2
 
< 0.1%
5 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 73747
87.7%
ASCII 10385
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10378
99.9%
3 4
 
< 0.1%
1 2
 
< 0.1%
5 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
시 8082
 
11.0%
도 7844
 
10.6%
경 4184
 
5.7%
구 3397
 
4.6%
남 3087
 
4.2%
기 2530
 
3.4%
북 2263
 
3.1%
군 2239
 
3.0%
주 2184
 
3.0%
광 1938
 
2.6%
Other values (198) 35999
48.8%

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size87.9 KiB
True
10000 
ValueCountFrequency (%)
True 10000
100.0%
2023-12-12T23:01:12.196512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Interactions

2023-12-12T23:01:07.466638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:06.116166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:06.591008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:07.038691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:07.569984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:06.207123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:06.710187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:07.140080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:07.667452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:06.330344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:06.810094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:07.266963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:07.781279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:06.474014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:06.927815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:01:07.374271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:01:12.258174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노드아이디권역코드X좌표(구좌표)Y좌표(구좌표)
노드아이디1.0000.8250.6430.709
권역코드0.8251.0000.6140.686
X좌표(구좌표)0.6430.6141.0000.576
Y좌표(구좌표)0.7090.6860.5761.000
2023-12-12T23:01:12.387291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
노드아이디권역코드X좌표(구좌표)Y좌표(구좌표)
노드아이디1.0001.0000.187-0.534
권역코드1.0001.0000.206-0.577
X좌표(구좌표)0.1870.2061.000-0.162
Y좌표(구좌표)-0.534-0.577-0.1621.000

Missing values

2023-12-12T23:01:07.925414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:01:08.084958image/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.
2023-12-12T23:01:08.219362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

노드아이디노드명권역코드노드유형코드X좌표(구좌표)Y좌표(구좌표)X좌표Y좌표노드위치사용여부
711042620007200<NA>42780101.0230592.5317526496.8655<NA><NA>강원도 철원군Y
658502370017701장풍교41730104.0253703.0852431011.9036<NA><NA>경기도 여주군Y
365561540006300칠곡네거리27230101339738.529271692.734<NA><NA>대구광역시 북구Y
19843340008001어린이보호구역46790103208374.1605167969.3381<NA><NA>전라남도 화순군Y
962723920015600<NA>48820104.0312631.6633179743.4819<NA><NA>경상남도 고성군Y
847192900019203<NA>44230104.0210795.1838308670.8337<NA><NA>충청남도 논산시Y
465682000018800<NA>41111101198915.9211424234.2786<NA><NA>경기도 수원시장안구Y
34273180024300<NA>45790105152813.8298213898.5771<NA><NA>전라북도 고창군Y
197543290020100고성사거리46710101193084.4268199782.5133<NA><NA>전라남도 담양군Y
405521670008200없음28245105178933.9144448994.9521<NA><NA>인천광역시 계양구Y
노드아이디노드명권역코드노드유형코드X좌표(구좌표)Y좌표(구좌표)X좌표Y좌표노드위치사용여부
932024080089500<NA>49130101.0165557.9348-22603.1694<NA><NA>제주특별자치도 서귀포시Y
651122500023300<NA>42110105269433.7213499657.714<NA><NA>강원도 춘천시Y
223271040025900일반국도3호선-일반국도3호선진11215101206528.5849451116.3093<NA><NA>서울특별시 광진구Y
386161650007100동춘교28200101171816.0351433679.3871<NA><NA>인천광역시 남동구Y
49053090001400내장교45180101191824.2694223365.5979<NA><NA>전라북도 정읍시Y
473091950011600금천교31200104421958.8714234117.3324<NA><NA>울산광역시 북구Y
305971230051800올림픽대로-일반국도3호선램프(411710108208856.6403446958.0824<NA><NA>서울특별시 송파구Y
567532290010503호명교41480104186917.5255481539.9719<NA><NA>경기도 파주시Y
273041000019600원남동사거리11110101199762.9311452920.8251<NA><NA>서울특별시 종로구Y
839132750013103답양1교(북측)43720104.0253750.9336323703.4784<NA><NA>충청북도 보은군Y