Overview

Dataset statistics

Number of variables6
Number of observations370
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.6 KiB
Average record size in memory51.4 B

Variable types

Numeric3
Text3

Dataset

Description고유번호,명칭,파일경로,비고,X좌표,Y좌표
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-11989/S/1/datasetView.do

Alerts

고유번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 09:54:08.986915
Analysis finished2023-12-11 09:54:10.604003
Duration1.62 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Real number (ℝ)

UNIQUE 

Distinct370
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean185.5
Minimum1
Maximum370
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:54:10.675290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.45
Q193.25
median185.5
Q3277.75
95-th percentile351.55
Maximum370
Range369
Interquartile range (IQR)184.5

Descriptive statistics

Standard deviation106.95404
Coefficient of variation (CV)0.57657164
Kurtosis-1.2
Mean185.5
Median Absolute Deviation (MAD)92.5
Skewness0
Sum68635
Variance11439.167
MonotonicityNot monotonic
2023-12-11T18:54:10.849031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 1
 
0.3%
341 1
 
0.3%
242 1
 
0.3%
354 1
 
0.3%
342 1
 
0.3%
350 1
 
0.3%
349 1
 
0.3%
347 1
 
0.3%
346 1
 
0.3%
345 1
 
0.3%
Other values (360) 360
97.3%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
370 1
0.3%
369 1
0.3%
368 1
0.3%
367 1
0.3%
366 1
0.3%
365 1
0.3%
364 1
0.3%
363 1
0.3%
362 1
0.3%
361 1
0.3%

명칭
Text

Distinct256
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T18:54:11.157797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.0864865
Min length3

Characters and Unicode

Total characters2992
Distinct characters200
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

Unique234 ?
Unique (%)63.2%

Sample

1st row낙성대 산책길
2nd row문화자원연계부
3rd row진입로(버스정류장)
4th row구로지양산숲 나들길진입로2
5th row구룡산 나들길
ValueCountFrequency (%)
문화자원연계부 42
 
8.8%
나들길 41
 
8.6%
진입로1 24
 
5.0%
산책길 21
 
4.4%
진입로2 18
 
3.8%
문화자원길 8
 
1.7%
진입로3 8
 
1.7%
구로지양산숲 5
 
1.0%
몽촌토성나들길 5
 
1.0%
진입로4 5
 
1.0%
Other values (248) 302
63.0%
2023-12-11T18:54:11.646085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 219
 
7.3%
로 184
 
6.1%
진 181
 
6.0%
입 177
 
5.9%
산 166
 
5.5%
들 122
 
4.1%
나 122
 
4.1%
109
 
3.6%
원 94
 
3.1%
1 62
 
2.1%
Other values (190) 1556
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2651
88.6%
Decimal Number 201
 
6.7%
Space Separator 109
 
3.6%
Close Punctuation 9
 
0.3%
Open Punctuation 9
 
0.3%
Dash Punctuation 7
 
0.2%
Uppercase Letter 3
 
0.1%
Connector Punctuation 2
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 219
 
8.3%
로 184
 
6.9%
진 181
 
6.8%
입 177
 
6.7%
산 166
 
6.3%
들 122
 
4.6%
나 122
 
4.6%
원 94
 
3.5%
숲 60
 
2.3%
화 55
 
2.1%
Other values (171) 1271
47.9%
Decimal Number
ValueCountFrequency (%)
1 62
30.8%
2 56
27.9%
3 28
13.9%
4 20
 
10.0%
5 13
 
6.5%
6 7
 
3.5%
7 5
 
2.5%
8 4
 
2.0%
0 3
 
1.5%
9 3
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
M 1
33.3%
C 1
33.3%
Space Separator
ValueCountFrequency (%)
109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2651
88.6%
Common 338
 
11.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 219
 
8.3%
로 184
 
6.9%
진 181
 
6.8%
입 177
 
6.7%
산 166
 
6.3%
들 122
 
4.6%
나 122
 
4.6%
원 94
 
3.5%
숲 60
 
2.3%
화 55
 
2.1%
Other values (171) 1271
47.9%
Common
ValueCountFrequency (%)
109
32.2%
1 62
18.3%
2 56
16.6%
3 28
 
8.3%
4 20
 
5.9%
5 13
 
3.8%
) 9
 
2.7%
( 9
 
2.7%
6 7
 
2.1%
- 7
 
2.1%
Other values (6) 18
 
5.3%
Latin
ValueCountFrequency (%)
D 1
33.3%
M 1
33.3%
C 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2651
88.6%
ASCII 341
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 219
 
8.3%
로 184
 
6.9%
진 181
 
6.8%
입 177
 
6.7%
산 166
 
6.3%
들 122
 
4.6%
나 122
 
4.6%
원 94
 
3.5%
숲 60
 
2.3%
화 55
 
2.1%
Other values (171) 1271
47.9%
ASCII
ValueCountFrequency (%)
109
32.0%
1 62
18.2%
2 56
16.4%
3 28
 
8.2%
4 20
 
5.9%
5 13
 
3.8%
) 9
 
2.6%
( 9
 
2.6%
6 7
 
2.1%
- 7
 
2.1%
Other values (9) 21
 
6.2%

파일경로
Text

Distinct109
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T18:54:11.906289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length26
Mean length17.535135
Min length7

Characters and Unicode

Total characters6488
Distinct characters184
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

Unique21 ?
Unique (%)5.7%

Sample

1st row낙성대 산책길.kmz
2nd row낙성대 산책길.kmz
3rd row낙성대 산책길.kmz
4th row임시 장소/구로지양산숲 나들길.kmz/임시 장소
5th row구룡산 나들길.kmz
ValueCountFrequency (%)
장소 233
26.2%
나들길.kmz/임시 82
 
9.2%
임시 79
 
8.9%
나들길.kmz 46
 
5.2%
산책길.kmz/임시 26
 
2.9%
산책길.kmz 23
 
2.6%
봉제산숲 14
 
1.6%
송파소리길.kmz/임시 11
 
1.2%
장소/독산삼성산나들길.kmz/임시 11
 
1.2%
장소/서리골서리풀나들길.kmz/임시 11
 
1.2%
Other values (97) 353
39.7%
2023-12-11T18:54:12.296269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
519
 
8.0%
길 388
 
6.0%
z 364
 
5.6%
m 364
 
5.6%
k 364
 
5.6%
. 364
 
5.6%
소 334
 
5.1%
/ 328
 
5.1%
장 327
 
5.0%
임 323
 
5.0%
Other values (174) 2813
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4093
63.1%
Lowercase Letter 1092
 
16.8%
Other Punctuation 692
 
10.7%
Space Separator 519
 
8.0%
Decimal Number 58
 
0.9%
Dash Punctuation 22
 
0.3%
Uppercase Letter 12
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 388
 
9.5%
소 334
 
8.2%
장 327
 
8.0%
임 323
 
7.9%
시 323
 
7.9%
산 289
 
7.1%
들 234
 
5.7%
나 234
 
5.7%
책 98
 
2.4%
숲 74
 
1.8%
Other values (156) 1469
35.9%
Decimal Number
ValueCountFrequency (%)
2 13
22.4%
7 12
20.7%
5 10
17.2%
0 9
15.5%
1 7
12.1%
4 4
 
6.9%
6 2
 
3.4%
3 1
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
z 364
33.3%
m 364
33.3%
k 364
33.3%
Uppercase Letter
ValueCountFrequency (%)
C 4
33.3%
M 4
33.3%
D 4
33.3%
Other Punctuation
ValueCountFrequency (%)
. 364
52.6%
/ 328
47.4%
Space Separator
ValueCountFrequency (%)
519
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4093
63.1%
Common 1291
 
19.9%
Latin 1104
 
17.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 388
 
9.5%
소 334
 
8.2%
장 327
 
8.0%
임 323
 
7.9%
시 323
 
7.9%
산 289
 
7.1%
들 234
 
5.7%
나 234
 
5.7%
책 98
 
2.4%
숲 74
 
1.8%
Other values (156) 1469
35.9%
Common
ValueCountFrequency (%)
519
40.2%
. 364
28.2%
/ 328
25.4%
- 22
 
1.7%
2 13
 
1.0%
7 12
 
0.9%
5 10
 
0.8%
0 9
 
0.7%
1 7
 
0.5%
4 4
 
0.3%
Other values (2) 3
 
0.2%
Latin
ValueCountFrequency (%)
z 364
33.0%
m 364
33.0%
k 364
33.0%
C 4
 
0.4%
M 4
 
0.4%
D 4
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4093
63.1%
ASCII 2395
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
519
21.7%
z 364
15.2%
m 364
15.2%
k 364
15.2%
. 364
15.2%
/ 328
13.7%
- 22
 
0.9%
2 13
 
0.5%
7 12
 
0.5%
5 10
 
0.4%
Other values (8) 35
 
1.5%
Hangul
ValueCountFrequency (%)
길 388
 
9.5%
소 334
 
8.2%
장 327
 
8.0%
임 323
 
7.9%
시 323
 
7.9%
산 289
 
7.1%
들 234
 
5.7%
나 234
 
5.7%
책 98
 
2.4%
숲 74
 
1.8%
Other values (156) 1469
35.9%

비고
Text

Distinct55
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-11T18:54:12.641587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length148
Median length1
Mean length12.662162
Min length1

Characters and Unicode

Total characters4685
Distinct characters437
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)12.4%

Sample

1st row안국사-낙성대 공원
2nd row
3rd row
4th row
5th row양재천 다리-달터근린공원 입구-달터근린공원-생태통로-구룡산길 시작-개암약수터
ValueCountFrequency (%)
수 22
 
2.7%
있다 16
 
2.0%
있는 15
 
1.9%
코스이다 13
 
1.6%
서울의 8
 
1.0%
산책로가 5
 
0.6%
있으며 4
 
0.5%
걸을 4
 
0.5%
이 4
 
0.5%
북한산 4
 
0.5%
Other values (506) 707
88.2%
2023-12-11T18:54:13.158557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1044
 
22.3%
- 116
 
2.5%
이 96
 
2.0%
산 85
 
1.8%
로 64
 
1.4%
다 62
 
1.3%
서 58
 
1.2%
길 55
 
1.2%
에 54
 
1.2%
원 51
 
1.1%
Other values (427) 3000
64.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3340
71.3%
Space Separator 1044
 
22.3%
Dash Punctuation 116
 
2.5%
Decimal Number 66
 
1.4%
Other Punctuation 54
 
1.2%
Math Symbol 38
 
0.8%
Lowercase Letter 10
 
0.2%
Close Punctuation 5
 
0.1%
Open Punctuation 5
 
0.1%
Uppercase Letter 4
 
0.1%
Other values (3) 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 96
 
2.9%
산 85
 
2.5%
로 64
 
1.9%
다 62
 
1.9%
서 58
 
1.7%
길 55
 
1.6%
에 54
 
1.6%
원 51
 
1.5%
대 51
 
1.5%
구 47
 
1.4%
Other values (399) 2717
81.3%
Decimal Number
ValueCountFrequency (%)
2 16
24.2%
0 10
15.2%
1 10
15.2%
3 7
10.6%
4 5
 
7.6%
5 5
 
7.6%
6 4
 
6.1%
8 4
 
6.1%
9 3
 
4.5%
7 2
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
m 4
40.0%
e 4
40.0%
k 1
 
10.0%
r 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
25.0%
C 1
25.0%
M 1
25.0%
D 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 48
88.9%
? 6
 
11.1%
Space Separator
ValueCountFrequency (%)
1044
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%
Math Symbol
ValueCountFrequency (%)
~ 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3339
71.3%
Common 1331
 
28.4%
Latin 14
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 96
 
2.9%
산 85
 
2.5%
로 64
 
1.9%
다 62
 
1.9%
서 58
 
1.7%
길 55
 
1.6%
에 54
 
1.6%
원 51
 
1.5%
대 51
 
1.5%
구 47
 
1.4%
Other values (398) 2716
81.3%
Common
ValueCountFrequency (%)
1044
78.4%
- 116
 
8.7%
. 48
 
3.6%
~ 38
 
2.9%
2 16
 
1.2%
0 10
 
0.8%
1 10
 
0.8%
3 7
 
0.5%
? 6
 
0.5%
4 5
 
0.4%
Other values (10) 31
 
2.3%
Latin
ValueCountFrequency (%)
m 4
28.6%
e 4
28.6%
k 1
 
7.1%
F 1
 
7.1%
r 1
 
7.1%
C 1
 
7.1%
M 1
 
7.1%
D 1
 
7.1%
Han
ValueCountFrequency (%)
耳 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3338
71.2%
ASCII 1342
28.6%
Punctuation 2
 
< 0.1%
CJK Compat 1
 
< 0.1%
CJK 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1044
77.8%
- 116
 
8.6%
. 48
 
3.6%
~ 38
 
2.8%
2 16
 
1.2%
0 10
 
0.7%
1 10
 
0.7%
3 7
 
0.5%
? 6
 
0.4%
4 5
 
0.4%
Other values (15) 42
 
3.1%
Hangul
ValueCountFrequency (%)
이 96
 
2.9%
산 85
 
2.5%
로 64
 
1.9%
다 62
 
1.9%
서 58
 
1.7%
길 55
 
1.6%
에 54
 
1.6%
원 51
 
1.5%
대 51
 
1.5%
구 47
 
1.4%
Other values (397) 2715
81.3%
CJK Compat
ValueCountFrequency (%)
㎡ 1
100.0%
CJK
ValueCountFrequency (%)
耳 1
100.0%
Punctuation
ValueCountFrequency (%)
” 1
50.0%
“ 1
50.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

X좌표
Real number (ℝ)

Distinct368
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198532.94
Minimum182397.71
Maximum213548.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:54:13.296126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum182397.71
5-th percentile186193.13
Q1193543.24
median198273.7
Q3203965.65
95-th percentile210404.89
Maximum213548.28
Range31150.562
Interquartile range (IQR)10422.409

Descriptive statistics

Standard deviation7337.2161
Coefficient of variation (CV)0.036957172
Kurtosis-0.6927006
Mean198532.94
Median Absolute Deviation (MAD)5282.705
Skewness-0.092272145
Sum73457190
Variance53834740
MonotonicityNot monotonic
2023-12-11T18:54:13.430000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210507.084 2
 
0.5%
209039.685 2
 
0.5%
205328.749 1
 
0.3%
194883.796 1
 
0.3%
197878.494 1
 
0.3%
193716.763 1
 
0.3%
192181.003 1
 
0.3%
188453.043 1
 
0.3%
196583.493 1
 
0.3%
197917.784 1
 
0.3%
Other values (358) 358
96.8%
ValueCountFrequency (%)
182397.714 1
0.3%
182656.668 1
0.3%
182658.219 1
0.3%
182677.789 1
0.3%
182817.6 1
0.3%
183390.837 1
0.3%
184389.133 1
0.3%
184471.479 1
0.3%
184633.951 1
0.3%
184850.97 1
0.3%
ValueCountFrequency (%)
213548.276 1
0.3%
213348.816 1
0.3%
212950.132 1
0.3%
212948.793 1
0.3%
212826.162 1
0.3%
212801.265 1
0.3%
211699.585 1
0.3%
211594.449 1
0.3%
211387.673 1
0.3%
211311.372 1
0.3%

Y좌표
Real number (ℝ)

Distinct368
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450021.1
Minimum438537.57
Maximum465156.36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-11T18:54:13.575168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum438537.57
5-th percentile440946.59
Q1444935.36
median449913.24
Q3454641.2
95-th percentile459777.27
Maximum465156.36
Range26618.797
Interquartile range (IQR)9705.835

Descriptive statistics

Standard deviation6057.3902
Coefficient of variation (CV)0.013460236
Kurtosis-0.78648535
Mean450021.1
Median Absolute Deviation (MAD)4868.434
Skewness0.18344935
Sum1.6650781 × 108
Variance36691976
MonotonicityNot monotonic
2023-12-11T18:54:13.727568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
445377.784 2
 
0.5%
444791.507 2
 
0.5%
445797.162 1
 
0.3%
439956.949 1
 
0.3%
446979.664 1
 
0.3%
453915.665 1
 
0.3%
438941.99 1
 
0.3%
449402.827 1
 
0.3%
455686.7 1
 
0.3%
452141.094 1
 
0.3%
Other values (358) 358
96.8%
ValueCountFrequency (%)
438537.568 1
0.3%
438719.295 1
0.3%
438941.99 1
0.3%
439148.913 1
0.3%
439214.583 1
0.3%
439783.827 1
0.3%
439885.104 1
0.3%
439934.601 1
0.3%
439956.949 1
0.3%
440032.82 1
0.3%
ValueCountFrequency (%)
465156.365 1
0.3%
464733.702 1
0.3%
464732.425 1
0.3%
464319.023 1
0.3%
464082.054 1
0.3%
463850.02 1
0.3%
462733.296 1
0.3%
462437.989 1
0.3%
461955.825 1
0.3%
461681.857 1
0.3%

Interactions

2023-12-11T18:54:10.073304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:54:09.459628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:54:09.754899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:54:10.183512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:54:09.552157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:54:09.884707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:54:10.301028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:54:09.646969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T18:54:09.977578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T18:54:13.815381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호비고X좌표Y좌표
고유번호1.0000.3510.6620.557
비고0.3511.0000.5100.000
X좌표0.6620.5101.0000.712
Y좌표0.5570.0000.7121.000
2023-12-11T18:54:13.905573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호X좌표Y좌표
고유번호1.0000.1280.243
X좌표0.1281.0000.248
Y좌표0.2430.2481.000

Missing values

2023-12-11T18:54:10.424037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T18:54:10.568418image/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

고유번호명칭파일경로비고X좌표Y좌표
031낙성대 산책길낙성대 산책길.kmz안국사-낙성대 공원196599.478441263.953
132문화자원연계부낙성대 산책길.kmz196488.582441134.538
233진입로(버스정류장)낙성대 산책길.kmz196421.567441368.253
324구로지양산숲 나들길진입로2임시 장소/구로지양산숲 나들길.kmz/임시 장소185125.164446397.672
428구룡산 나들길구룡산 나들길.kmz양재천 다리-달터근린공원 입구-달터근린공원-생태통로-구룡산길 시작-개암약수터205136.472441655.288
534남산순환진입로2남산순환나들길.kmz/임시 장소200165.81450718.469
635달마을공원 산책길진입로2달마을공원산책길.kmz188218.068449329.937
736달마을공원산책길진입로3달마을공원산책길.kmz188310.003449229.331
837개화산나들길진입로2개화산나들길.kmz182658.219453184.957
938제목 없는 경로개화산나들길.kmz182656.668453510.473
고유번호명칭파일경로비고X좌표Y좌표
360353동작충효길2코스-현충원길동작충효길2코스-현충원길.kmz국립현충원입구-사당출입문-서달산산책로-서달산계단입구197578.387444208.919
361358서울숲남산나들길서울숲남산나들길.kmz/임시 장소201899.744449947.399
362359북악하늘 나들길북악하늘 나들길.kmz/임시 장소서울의 비무장지대라고 불릴 정도로 잘 보존된 숲 사이로 뻗은 산책로를 통해 42년간 금단의 땅이었던 북악산을 만끽할 수 있는 코스이다.198626.475455517.777
363365월계공원산책길월계공원산책길.kmz/임시 장소205083.291458550.555
364366인사동삼청동 나들길인사동삼청동 나들길.kmz/임시 장소서울 도심에서 맛볼 수 있는 역사와 문화가 고르게 어우러진 코스이다.198447.1453271.134
365367인사동삼청동 나들길인사동삼청동 나들길.kmz/임시 장소서울 도심에서 맛볼 수 있는 역사와 문화가 고르게 어우러진 코스이다.198554.569454435.092
366368진입로2인왕산 나들길.kmz/임시 장소196595.539453138.93
367369일자산숲나들길진입로일자산숲 나들길.kmz/임시 장소213348.816448164.439
368370전쟁기념관진입로1전쟁기념관산책길.kmz/임시 장소197624.746448308.643
369364우이령나들길우이령 나들길.kmz/임시 장소199209.929464732.425