Overview

Dataset statistics

Number of variables5
Number of observations109
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory45.2 B

Variable types

Categorical1
Numeric3
Text1

Dataset

Description충청북도 단양군의 국가공간정보체계시스템 내 보유중인 리 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/15123490/fileData.do

Alerts

공간정보 값(XMIN) is highly overall correlated with 공간정보 타입High correlation
공간정보 값(YMIN) is highly overall correlated with 공간정보 값(YMAX) and 1 other fieldsHigh correlation
공간정보 값(YMAX) is highly overall correlated with 공간정보 값(YMIN) and 1 other fieldsHigh correlation
공간정보 타입 is highly overall correlated with 공간정보 값(XMIN) and 2 other fieldsHigh correlation
공간정보 타입 is highly imbalanced (88.7%)Imbalance

Reproduction

Analysis started2023-12-12 19:15:24.594609
Analysis finished2023-12-12 19:15:25.768311
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보 타입
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1004.0 B
124
106 
25
 
1
31
 
1
72
 
1

Length

Max length3
Median length3
Mean length2.9724771
Min length2

Unique

Unique3 ?
Unique (%)2.8%

Sample

1st row124
2nd row124
3rd row124
4th row124
5th row124

Common Values

ValueCountFrequency (%)
124 106
97.2%
25 1
 
0.9%
31 1
 
0.9%
72 1
 
0.9%

Length

2023-12-13T04:15:25.846024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:15:25.976208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
124 106
97.2%
25 1
 
0.9%
31 1
 
0.9%
72 1
 
0.9%

공간정보 값(XMIN)
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13676199
Minimum43800
Maximum15593944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:15:26.111801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43800
5-th percentile13194423
Q113577293
median14035842
Q314407895
95-th percentile15171806
Maximum15593944
Range15550144
Interquartile range (IQR)830602

Descriptive statistics

Standard deviation2372203.9
Coefficient of variation (CV)0.17345492
Kurtosis28.966022
Mean13676199
Median Absolute Deviation (MAD)397625
Skewness-5.3315642
Sum1.4907056 × 109
Variance5.6273514 × 1012
MonotonicityNot monotonic
2023-12-13T04:15:26.273361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43800 3
 
2.8%
14606081 1
 
0.9%
13240442 1
 
0.9%
14661624 1
 
0.9%
14076305 1
 
0.9%
14305039 1
 
0.9%
14342119 1
 
0.9%
15179578 1
 
0.9%
14069582 1
 
0.9%
14645142 1
 
0.9%
Other values (97) 97
89.0%
ValueCountFrequency (%)
43800 3
2.8%
13034330 1
 
0.9%
13042528 1
 
0.9%
13192894 1
 
0.9%
13196716 1
 
0.9%
13225042 1
 
0.9%
13227516 1
 
0.9%
13240442 1
 
0.9%
13240522 1
 
0.9%
13250513 1
 
0.9%
ValueCountFrequency (%)
15593944 1
0.9%
15573599 1
0.9%
15467946 1
0.9%
15378880 1
0.9%
15198466 1
0.9%
15179578 1
0.9%
15160148 1
0.9%
14834086 1
0.9%
14814723 1
0.9%
14778901 1
0.9%

공간정보 값(YMIN)
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37498500
Minimum1
Maximum40283908
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:15:26.466867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile36832503
Q137891183
median38503082
Q339281859
95-th percentile39884465
Maximum40283908
Range40283907
Interquartile range (IQR)1390676

Descriptive statistics

Standard deviation6400897.2
Coefficient of variation (CV)0.17069742
Kurtosis31.507122
Mean37498500
Median Absolute Deviation (MAD)734863
Skewness-5.675252
Sum4.0873365 × 109
Variance4.0971484 × 1013
MonotonicityNot monotonic
2023-12-13T04:15:26.657541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 3
 
2.8%
39582839 1
 
0.9%
39155905 1
 
0.9%
38772705 1
 
0.9%
39806731 1
 
0.9%
37455021 1
 
0.9%
38108416 1
 
0.9%
39715330 1
 
0.9%
37682066 1
 
0.9%
38121288 1
 
0.9%
Other values (97) 97
89.0%
ValueCountFrequency (%)
1 3
2.8%
36705472 1
 
0.9%
36806617 1
 
0.9%
36823104 1
 
0.9%
36846601 1
 
0.9%
36847083 1
 
0.9%
37038062 1
 
0.9%
37050469 1
 
0.9%
37075156 1
 
0.9%
37124442 1
 
0.9%
ValueCountFrequency (%)
40283908 1
0.9%
40261343 1
0.9%
40161616 1
0.9%
40106935 1
0.9%
39946951 1
0.9%
39896749 1
0.9%
39866038 1
0.9%
39810903 1
0.9%
39806731 1
0.9%
39763441 1
0.9%

공간정보 값(XMAX)
Text

Distinct107
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1004.0 B
2023-12-13T04:15:27.031069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length8
Mean length8.2201835
Min length8

Characters and Unicode

Total characters896
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique106 ?
Unique (%)97.2%

Sample

1st row14931038
2nd row13886099
3rd row14131406
4th row13738800
5th row15542818
ValueCountFrequency (%)
lsmd_adm_sect_ri 3
 
2.8%
14035062 1
 
0.9%
13371841 1
 
0.9%
14531310 1
 
0.9%
14877109 1
 
0.9%
14626546 1
 
0.9%
15605026 1
 
0.9%
14622930 1
 
0.9%
15020916 1
 
0.9%
16199694 1
 
0.9%
Other values (97) 97
89.0%
2023-12-13T04:15:27.576516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 166
18.5%
4 113
12.6%
3 88
9.8%
5 80
8.9%
0 80
8.9%
2 73
8.1%
6 71
7.9%
9 62
 
6.9%
8 58
 
6.5%
7 57
 
6.4%
Other values (11) 48
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 848
94.6%
Uppercase Letter 39
 
4.4%
Connector Punctuation 9
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 166
19.6%
4 113
13.3%
3 88
10.4%
5 80
9.4%
0 80
9.4%
2 73
8.6%
6 71
8.4%
9 62
 
7.3%
8 58
 
6.8%
7 57
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
M 6
15.4%
D 6
15.4%
S 6
15.4%
L 3
7.7%
R 3
7.7%
T 3
7.7%
C 3
7.7%
E 3
7.7%
A 3
7.7%
I 3
7.7%
Connector Punctuation
ValueCountFrequency (%)
_ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 857
95.6%
Latin 39
 
4.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 166
19.4%
4 113
13.2%
3 88
10.3%
5 80
9.3%
0 80
9.3%
2 73
8.5%
6 71
8.3%
9 62
 
7.2%
8 58
 
6.8%
7 57
 
6.7%
Latin
ValueCountFrequency (%)
M 6
15.4%
D 6
15.4%
S 6
15.4%
L 3
7.7%
R 3
7.7%
T 3
7.7%
C 3
7.7%
E 3
7.7%
A 3
7.7%
I 3
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 896
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 166
18.5%
4 113
12.6%
3 88
9.8%
5 80
8.9%
0 80
8.9%
2 73
8.1%
6 71
7.9%
9 62
 
6.9%
8 58
 
6.5%
7 57
 
6.4%
Other values (11) 48
 
5.4%

공간정보 값(YMAX)
Real number (ℝ)

HIGH CORRELATION 

Distinct107
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2055046 × 1023
Minimum37139344
Maximum4.38 × 1024
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-13T04:15:27.760525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37139344
5-th percentile37292664
Q138254230
median38888930
Q339705531
95-th percentile40568490
Maximum4.38 × 1024
Range4.38 × 1024
Interquartile range (IQR)1451301

Descriptive statistics

Standard deviation7.1988404 × 1023
Coefficient of variation (CV)5.9716408
Kurtosis32.906386
Mean1.2055046 × 1023
Median Absolute Deviation (MAD)731500
Skewness5.8568623
Sum1.314 × 1025
Variance5.1823303 × 1047
MonotonicityNot monotonic
2023-12-13T04:15:27.899170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.38e+24 3
 
2.8%
40019140.0 1
 
0.9%
39387234.0 1
 
0.9%
39147252.0 1
 
0.9%
40408955.0 1
 
0.9%
37776255.0 1
 
0.9%
38327724.0 1
 
0.9%
40153410.0 1
 
0.9%
38056636.0 1
 
0.9%
38570747.0 1
 
0.9%
Other values (97) 97
89.0%
ValueCountFrequency (%)
37139344.0 1
0.9%
37147644.0 1
0.9%
37196618.0 1
0.9%
37227699.0 1
0.9%
37232970.0 1
0.9%
37256664.0 1
0.9%
37346665.0 1
0.9%
37488858.0 1
0.9%
37536070.0 1
0.9%
37549421.0 1
0.9%
ValueCountFrequency (%)
4.38e+24 3
2.8%
40676860.0 1
 
0.9%
40676313.0 1
 
0.9%
40674847.0 1
 
0.9%
40408955.0 1
 
0.9%
40387488.0 1
 
0.9%
40354565.0 1
 
0.9%
40309178.0 1
 
0.9%
40288054.0 1
 
0.9%
40283091.0 1
 
0.9%

Interactions

2023-12-13T04:15:25.333496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:24.731557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:25.030329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:25.427360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:24.840514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:25.143932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:25.508814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:24.942649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:25.247205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:15:27.998807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보 타입공간정보 값(XMIN)공간정보 값(YMIN)공간정보 값(YMAX)
공간정보 타입1.000NaN1.0001.000
공간정보 값(XMIN)NaN1.000NaNNaN
공간정보 값(YMIN)1.000NaN1.0000.963
공간정보 값(YMAX)1.000NaN0.9631.000
2023-12-13T04:15:28.111570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보 값(XMIN)공간정보 값(YMIN)공간정보 값(YMAX)공간정보 타입
공간정보 값(XMIN)1.0000.114-0.0090.694
공간정보 값(YMIN)0.1141.0000.8310.991
공간정보 값(YMAX)-0.0090.8311.0000.991
공간정보 타입0.6940.9910.9911.000

Missing values

2023-12-13T04:15:25.619425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:15:25.721315image/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)
012414606081395828391493103840019140.0
112413577293391406161388609939479631.0
212413765127402839081413140640676860.0
312413469648397634411373880040059092.0
412415198466390041681554281839577103.0
512413974594382271571413429138455107.0
612413320705381785571354231838491007.0
712413742476380106581395292338288112.0
812414011764386161301436161038886438.0
912414834086384411041568786639021727.0
공간정보 타입공간정보 값(XMIN)공간정보 값(YMIN)공간정보 값(XMAX)공간정보 값(YMAX)
9912414408349386859801459978738877137.0
10012414332560395569731470164139900215.0
10112413389032398967491366260340225951.0
10212413468590382736421375839338562987.0
10312414143203380372361437726638215411.0
10412413984244380268111415884138254230.0
10512413389718387092401380416739087268.0
10612414619475385030821484150538820156.0
10712414143476390284991449009239426543.0
10812413723678396525231417202940354565.0