Overview

Dataset statistics

Number of variables5
Number of observations467
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)0.4%
Total size in memory20.7 KiB
Average record size in memory45.3 B

Variable types

Numeric5

Dataset

Description충청북도 단양군의 국가공간정보체계시스템 내 보유중인 노드링크 데이터로 공강정보타입,공간정보 값(XMIN),공간정보 값(YMIN),공간정보 값(XMAX),공간정보 값(YMAX) 등의 항목을 포함하고 있음.
Author충청북도 단양군
URLhttps://www.data.go.kr/data/15123481/fileData.do

Alerts

Dataset has 2 (0.4%) duplicate rowsDuplicates
공간정보 타입 is highly overall correlated with 공간정보 값(YMIN) and 2 other fieldsHigh correlation
공간정보 값(YMIN) is highly overall correlated with 공간정보 타입 and 2 other fieldsHigh correlation
공간정보 값(XMAX) is highly overall correlated with 공간정보 타입 and 2 other fieldsHigh correlation
공간정보 값(YMAX) is highly overall correlated with 공간정보 타입 and 2 other fieldsHigh correlation
공간정보 값(XMIN) has 44 (9.4%) zerosZeros
공간정보 값(YMIN) has 89 (19.1%) zerosZeros
공간정보 값(XMAX) has 51 (10.9%) zerosZeros
공간정보 값(YMAX) has 54 (11.6%) zerosZeros

Reproduction

Analysis started2023-12-12 10:14:04.941795
Analysis finished2023-12-12 10:14:08.435835
Duration3.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보 타입
Real number (ℝ)

HIGH CORRELATION 

Distinct84
Distinct (%)18.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1760414 × 108
Minimum115
Maximum3.700015 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-12T19:14:08.517134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum115
5-th percentile115
Q1115
median115
Q32.8200003 × 109
95-th percentile2.8200143 × 109
Maximum3.700015 × 109
Range3.7000149 × 109
Interquartile range (IQR)2.8200002 × 109

Descriptive statistics

Standard deviation1.2370229 × 109
Coefficient of variation (CV)1.7238235
Kurtosis-0.65312934
Mean7.1760414 × 108
Median Absolute Deviation (MAD)0
Skewness1.1523846
Sum3.3512113 × 1011
Variance1.5302256 × 1018
MonotonicityNot monotonic
2023-12-12T19:14:08.713651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115 349
74.7%
2820001700 6
 
1.3%
2820001800 3
 
0.6%
2820009900 3
 
0.6%
2820012600 3
 
0.6%
2820014300 3
 
0.6%
2820002400 2
 
0.4%
2820013400 2
 
0.4%
2820006600 2
 
0.4%
2820014900 2
 
0.4%
Other values (74) 92
 
19.7%
ValueCountFrequency (%)
115 349
74.7%
2820000100 1
 
0.2%
2820000500 1
 
0.2%
2820000700 2
 
0.4%
2820000900 2
 
0.4%
2820001000 1
 
0.2%
2820001100 1
 
0.2%
2820001200 1
 
0.2%
2820001400 1
 
0.2%
2820001600 1
 
0.2%
ValueCountFrequency (%)
3700015000 1
0.2%
3560013400 2
0.4%
2820034600 1
0.2%
2820033400 1
0.2%
2820028600 1
0.2%
2820022200 1
0.2%
2820020600 1
0.2%
2820019400 1
0.2%
2820018800 1
0.2%
2820017900 1
0.2%

공간정보 값(XMIN)
Real number (ℝ)

ZEROS 

Distinct406
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6070959 × 108
Minimum0
Maximum3.5900176 × 109
Zeros44
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-12T19:14:08.900044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q113801986
median14171148
Q314823923
95-th percentile2.8200122 × 109
Maximum3.5900176 × 109
Range3.5900176 × 109
Interquartile range (IQR)1021937.5

Descriptive statistics

Standard deviation1.0348916 × 109
Coefficient of variation (CV)2.2462992
Kurtosis1.5947826
Mean4.6070959 × 108
Median Absolute Deviation (MAD)394489
Skewness1.8872481
Sum2.1515138 × 1011
Variance1.0710006 × 1018
MonotonicityNot monotonic
2023-12-12T19:14:09.067095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
 
9.4%
2820008100 3
 
0.6%
2820006700 3
 
0.6%
2820012300 3
 
0.6%
13657711 2
 
0.4%
2820006100 2
 
0.4%
2820001000 2
 
0.4%
2820015200 2
 
0.4%
13656898 2
 
0.4%
2820013500 2
 
0.4%
Other values (396) 402
86.1%
ValueCountFrequency (%)
0 44
9.4%
13068534 1
 
0.2%
13069081 1
 
0.2%
13106274 1
 
0.2%
13106399 1
 
0.2%
13158924 1
 
0.2%
13160124 1
 
0.2%
13181604 1
 
0.2%
13182957 1
 
0.2%
13194675 1
 
0.2%
ValueCountFrequency (%)
3590017600 1
0.2%
3560013300 1
0.2%
2820016100 1
0.2%
2820015300 1
0.2%
2820015200 2
0.4%
2820014900 1
0.2%
2820014800 1
0.2%
2820014600 1
0.2%
2820014500 1
0.2%
2820014400 1
0.2%

공간정보 값(YMIN)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct361
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1355155 × 108
Minimum0
Maximum2.8200159 × 109
Zeros89
Zeros (%)19.1%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-12T19:14:09.218603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q137383387
median38672487
Q339338764
95-th percentile40051434
Maximum2.8200159 × 109
Range2.8200159 × 109
Interquartile range (IQR)1955376.5

Descriptive statistics

Standard deviation4.7657341 × 108
Coefficient of variation (CV)4.1969786
Kurtosis28.635081
Mean1.1355155 × 108
Median Absolute Deviation (MAD)816043
Skewness5.5201818
Sum5.3028572 × 1010
Variance2.2712221 × 1017
MonotonicityNot monotonic
2023-12-12T19:14:09.355025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 89
 
19.1%
1 14
 
3.0%
38020717 2
 
0.4%
39779940 2
 
0.4%
38007371 2
 
0.4%
39072842 2
 
0.4%
38021783 2
 
0.4%
39181893 1
 
0.2%
39659589 1
 
0.2%
2820013300 1
 
0.2%
Other values (351) 351
75.2%
ValueCountFrequency (%)
0 89
19.1%
1 14
 
3.0%
2 1
 
0.2%
36722024 1
 
0.2%
36723229 1
 
0.2%
36723776 1
 
0.2%
36724511 1
 
0.2%
36888340 1
 
0.2%
36888444 1
 
0.2%
37025796 1
 
0.2%
ValueCountFrequency (%)
2820015900 1
0.2%
2820015100 1
0.2%
2820013300 1
0.2%
2820010900 1
0.2%
2820009400 1
0.2%
2820008700 1
0.2%
2820008600 1
0.2%
2820007900 1
0.2%
2820006500 1
0.2%
2820006400 1
0.2%

공간정보 값(XMAX)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct349
Distinct (%)74.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10683639
Minimum0
Maximum16776231
Zeros51
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-12T19:14:09.505479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1106
median14058434
Q314379738
95-th percentile15432657
Maximum16776231
Range16776231
Interquartile range (IQR)14379632

Descriptive statistics

Standard deviation6238074.4
Coefficient of variation (CV)0.5838904
Kurtosis-0.71326101
Mean10683639
Median Absolute Deviation (MAD)404503
Skewness-1.1201682
Sum4.9892595 × 109
Variance3.8913572 × 1013
MonotonicityNot monotonic
2023-12-12T19:14:09.672745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
 
10.9%
1 21
 
4.5%
103 21
 
4.5%
106 15
 
3.2%
101 8
 
1.7%
2 2
 
0.4%
14402434 2
 
0.4%
13678414 2
 
0.4%
15024478 2
 
0.4%
14370469 2
 
0.4%
Other values (339) 341
73.0%
ValueCountFrequency (%)
0 51
10.9%
1 21
4.5%
2 2
 
0.4%
101 8
 
1.7%
103 21
4.5%
106 15
 
3.2%
13106274 1
 
0.2%
13106399 1
 
0.2%
13184999 1
 
0.2%
13186137 1
 
0.2%
ValueCountFrequency (%)
16776231 1
0.2%
16775186 1
0.2%
15667734 1
0.2%
15666532 1
0.2%
15499948 1
0.2%
15498748 1
0.2%
15490016 1
0.2%
15488848 1
0.2%
15448054 1
0.2%
15447960 1
0.2%

공간정보 값(YMAX)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct351
Distinct (%)75.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29072182
Minimum0
Maximum40702291
Zeros54
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size4.2 KiB
2023-12-12T19:14:09.827876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1106
median38652800
Q339332206
95-th percentile40002103
Maximum40702291
Range40702291
Interquartile range (IQR)39332100

Descriptive statistics

Standard deviation16936653
Coefficient of variation (CV)0.58257247
Kurtosis-0.70317234
Mean29072182
Median Absolute Deviation (MAD)838622
Skewness-1.1363002
Sum1.3576709 × 1010
Variance2.8685022 × 1014
MonotonicityNot monotonic
2023-12-12T19:14:10.259256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
11.6%
103 29
 
6.2%
106 23
 
4.9%
101 8
 
1.7%
1 3
 
0.6%
39107009 2
 
0.4%
38021930 2
 
0.4%
38021064 2
 
0.4%
39106555 2
 
0.4%
39751326 1
 
0.2%
Other values (341) 341
73.0%
ValueCountFrequency (%)
0 54
11.6%
1 3
 
0.6%
3 1
 
0.2%
101 8
 
1.7%
103 29
6.2%
106 23
4.9%
36723882 1
 
0.2%
36724947 1
 
0.2%
37028414 1
 
0.2%
37029541 1
 
0.2%
ValueCountFrequency (%)
40702291 1
0.2%
40701181 1
0.2%
40687248 1
0.2%
40686825 1
0.2%
40670199 1
0.2%
40669576 1
0.2%
40206119 1
0.2%
40205263 1
0.2%
40179615 1
0.2%
40179407 1
0.2%

Interactions

2023-12-12T19:14:07.650700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:05.132623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:05.730721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:06.380614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:07.001268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:07.775413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:05.242835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:05.863516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:06.526682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:07.133670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:07.925881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:05.352210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:05.980963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:06.664236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:07.268602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:08.015459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:05.458954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:06.123862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:06.781087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:07.395177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:08.133963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:05.594290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:06.256482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:06.886003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:14:07.513232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:14:10.377373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보 타입공간정보 값(XMIN)공간정보 값(YMIN)공간정보 값(XMAX)공간정보 값(YMAX)
공간정보 타입1.0000.8890.1830.6741.000
공간정보 값(XMIN)0.8891.0000.2500.5210.487
공간정보 값(YMIN)0.1830.2501.0000.4350.432
공간정보 값(XMAX)0.6740.5210.4351.0001.000
공간정보 값(YMAX)1.0000.4870.4321.0001.000
2023-12-12T19:14:10.494558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보 타입공간정보 값(XMIN)공간정보 값(YMIN)공간정보 값(XMAX)공간정보 값(YMAX)
공간정보 타입1.0000.210-0.538-0.743-0.742
공간정보 값(XMIN)0.2101.0000.0660.1850.012
공간정보 값(YMIN)-0.5380.0661.0000.5060.828
공간정보 값(XMAX)-0.7430.1850.5061.0000.654
공간정보 값(YMAX)-0.7420.0120.8280.6541.000

Missing values

2023-12-12T19:14:08.284441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:14:08.391030image/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

공간정보 타입공간정보 값(XMIN)공간정보 값(YMIN)공간정보 값(XMAX)공간정보 값(YMAX)
011514096002380554091424653338150515
111514096477380565691424700838151675
211513298073390954321329940839096125
311513297484390965821329883539097243
411513266962378936451326869637895567
511513267767378927561326938637894550
611513639965373984151380224837700816
711513835385368884441390432637029541
811513606802373364361360689437343315
911514159239387300981416488838731495
공간정보 타입공간정보 값(XMIN)공간정보 값(YMIN)공간정보 값(XMAX)공간정보 값(YMAX)
45711515435255397208311544709039737191
45811515436189397215461544805439737943
45911515412659397379431543618939779928
46011514056864389254261455264839424223
46111514056233389266261455208139425472
46211514552648389736981457521638986053
46311514552081389747551457489138987208
46411514387662395503371455173339955163
46511514561152395475801456654539549941
46611514551732395499411456115239550874

Duplicate rows

Most frequently occurring

공간정보 타입공간정보 값(XMIN)공간정보 값(YMIN)공간정보 값(XMAX)공간정보 값(YMAX)# duplicates
028200017000010103
128200069000010302