Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory38.4 B

Variable types

Numeric2
Text1
Categorical1

Dataset

Description샘플 데이터
Author국토연구원
URLhttps://bigdata-region.kr/#/dataset/89b95bf1-e034-4f67-86ab-6574160cb2ba

Alerts

PNU has unique valuesUnique
LNM_NM has unique valuesUnique
AR has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:45:42.039823
Analysis finished2023-12-10 13:45:43.497742
Duration1.46 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

PNU
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6110327 × 1018
Minimum3.6110105 × 1018
Maximum3.611038 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:45:43.669720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6110105 × 1018
5-th percentile3.611025 × 1018
Q13.611032 × 1018
median3.611034 × 1018
Q33.611037 × 1018
95-th percentile3.611038 × 1018
Maximum3.611038 × 1018
Range2.7528998 × 1013
Interquartile range (IQR)4.9940027 × 1012

Descriptive statistics

Standard deviation6.0185607 × 1012
Coefficient of variation (CV)1.6667145 × 10-6
Kurtosis5.3314091
Mean3.6110327 × 1018
Median Absolute Deviation (MAD)2.9904986 × 1012
Skewness-2.0541743
Sum-2.3494821 × 1018
Variance3.6223073 × 1025
MonotonicityNot monotonic
2023-12-10T22:45:43.920022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
3611034035106020010 1
 
3.3%
3611037021103560013 1
 
3.3%
3611032027101920006 1
 
3.3%
3611038025103530002 1
 
3.3%
3611038027100750004 1
 
3.3%
3611038021106010000 1
 
3.3%
3611035028101710018 1
 
3.3%
3611035028101600017 1
 
3.3%
3611037022100420003 1
 
3.3%
3611032027100420004 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
3611010500104660001 1
3.3%
3611025028101010000 1
3.3%
3611025033101590012 1
3.3%
3611025033101590016 1
3.3%
3611025033101590018 1
3.3%
3611025033101590021 1
3.3%
3611032027100390006 1
3.3%
3611032027100420004 1
3.3%
3611032027101920006 1
3.3%
3611033028105630002 1
3.3%
ValueCountFrequency (%)
3611038029102810025 1
3.3%
3611038027102650000 1
3.3%
3611038027100750004 1
3.3%
3611038025103530002 1
3.3%
3611038021106010000 1
3.3%
3611037032101340003 1
3.3%
3611037022100420003 1
3.3%
3611037021103560013 1
3.3%
3611037021103300011 1
3.3%
3611037021103270002 1
3.3%

LNM_NM
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T22:45:44.168694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.9
Min length5

Characters and Unicode

Total characters207
Distinct characters15
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row602-10 답
2nd row566-1 답
3rd row563-2 답
4th row319-3 답
5th row101 전
ValueCountFrequency (%)
답 17
30.4%
전 7
 
12.5%
대 2
 
3.6%
42-4 1
 
1.8%
330-11전 1
 
1.8%
153-3 1
 
1.8%
265 1
 
1.8%
134-3 1
 
1.8%
39-6 1
 
1.8%
602-10 1
 
1.8%
Other values (23) 23
41.1%
2023-12-10T22:45:44.632517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 27
13.0%
1 27
13.0%
26
12.6%
3 20
9.7%
2 17
8.2%
답 17
8.2%
6 16
7.7%
5 15
7.2%
전 11
5.3%
9 8
 
3.9%
Other values (5) 23
11.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 124
59.9%
Other Letter 30
 
14.5%
Dash Punctuation 27
 
13.0%
Space Separator 26
 
12.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 27
21.8%
3 20
16.1%
2 17
13.7%
6 16
12.9%
5 15
12.1%
9 8
 
6.5%
4 7
 
5.6%
0 6
 
4.8%
7 5
 
4.0%
8 3
 
2.4%
Other Letter
ValueCountFrequency (%)
답 17
56.7%
전 11
36.7%
대 2
 
6.7%
Dash Punctuation
ValueCountFrequency (%)
- 27
100.0%
Space Separator
ValueCountFrequency (%)
26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 177
85.5%
Hangul 30
 
14.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 27
15.3%
1 27
15.3%
26
14.7%
3 20
11.3%
2 17
9.6%
6 16
9.0%
5 15
8.5%
9 8
 
4.5%
4 7
 
4.0%
0 6
 
3.4%
Other values (2) 8
 
4.5%
Hangul
ValueCountFrequency (%)
답 17
56.7%
전 11
36.7%
대 2
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 177
85.5%
Hangul 30
 
14.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 27
15.3%
1 27
15.3%
26
14.7%
3 20
11.3%
2 17
9.6%
6 16
9.0%
5 15
8.5%
9 8
 
4.5%
4 7
 
4.0%
0 6
 
3.4%
Other values (2) 8
 
4.5%
Hangul
ValueCountFrequency (%)
답 17
56.7%
전 11
36.7%
대 2
 
6.7%

OTY_NM
Categorical

Distinct2
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
시도유지
20 
국유지
10 

Length

Max length4
Median length4
Mean length3.6666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row국유지
2nd row국유지
3rd row국유지
4th row시도유지
5th row국유지

Common Values

ValueCountFrequency (%)
시도유지 20
66.7%
국유지 10
33.3%

Length

2023-12-10T22:45:44.885274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:45:45.056551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도유지 20
66.7%
국유지 10
33.3%

AR
Real number (ℝ)

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean559.59655
Minimum20.7211
Maximum2603.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2023-12-10T22:45:45.244181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20.7211
5-th percentile27.403145
Q157.8472
median188.606
Q3581.56475
95-th percentile2433.199
Maximum2603.42
Range2582.6989
Interquartile range (IQR)523.71755

Descriptive statistics

Standard deviation814.62562
Coefficient of variation (CV)1.4557374
Kurtosis1.390367
Mean559.59655
Median Absolute Deviation (MAD)147.79705
Skewness1.6514702
Sum16787.897
Variance663614.89
MonotonicityNot monotonic
2023-12-10T22:45:45.475117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
2231.36 1
 
3.3%
56.4225 1
 
3.3%
47.9155 1
 
3.3%
685.237 1
 
3.3%
29.5512 1
 
3.3%
2598.34 1
 
3.3%
34.9087 1
 
3.3%
82.519 1
 
3.3%
1925.19 1
 
3.3%
478.9 1
 
3.3%
Other values (20) 20
66.7%
ValueCountFrequency (%)
20.7211 1
3.3%
26.9297 1
3.3%
27.9818 1
3.3%
29.5512 1
3.3%
34.9087 1
3.3%
46.7092 1
3.3%
47.9155 1
3.3%
56.4225 1
3.3%
62.1213 1
3.3%
67.7007 1
3.3%
ValueCountFrequency (%)
2603.42 1
3.3%
2598.34 1
3.3%
2231.36 1
3.3%
1925.19 1
3.3%
1682.72 1
3.3%
1388.51 1
3.3%
685.237 1
3.3%
604.404 1
3.3%
513.047 1
3.3%
478.9 1
3.3%

Interactions

2023-12-10T22:45:42.834501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:42.354487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:42.993120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-10T22:45:42.596809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-10T22:45:45.623534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
PNULNM_NMOTY_NMAR
PNU1.0001.0000.0000.000
LNM_NM1.0001.0001.0001.000
OTY_NM0.0001.0001.0000.354
AR0.0001.0000.3541.000
2023-12-10T22:45:45.868632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
PNUAROTY_NM
PNU1.0000.1280.016
AR0.1281.0000.219
OTY_NM0.0160.2191.000

Missing values

2023-12-10T22:45:43.227815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T22:45:43.408982image/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

PNULNM_NMOTY_NMAR
03611034035106020010602-10 답국유지2231.36
13611033028105660001566-1 답국유지2603.42
23611033028105630002563-2 답국유지1682.72
33611034029103190003319-3 답시도유지104.77
43611025028101010000101 전국유지20.7211
53611034026105660033566-33 답시도유지209.986
63611034029102950005295-5 답시도유지46.7092
73611025033101590018159-18 답시도유지604.404
83611025033101590016159-16 전시도유지241.236
93611025033101590012159-12 답시도유지67.7007
PNULNM_NMOTY_NMAR
203611037032101340003134-3 답국유지238.923
21361103202710039000639-6 대시도유지27.9818
22361103202710042000442-4 답시도유지478.9
23361103702210042000342-3전시도유지1925.19
243611035028101600017160-17 답시도유지82.519
253611035028101710018171-18 답시도유지34.9087
263611038021106010000601 전시도유지2598.34
27361103802710075000475-4 답시도유지29.5512
283611038025103530002353-2 전국유지685.237
293611032027101920006192-6 전시도유지47.9155