Overview

Dataset statistics

Number of variables3
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory732.0 B
Average record size in memory30.5 B

Variable types

Text1
Categorical1
Numeric1

Dataset

Description전년도에 생산된 산림사업용 유묘의 가격입니다. (국가 또는 지방자치단체가 산지 조림용 등 용도로 구입하는 가격으로 일반 시중에서 거래되는 가격과는 무관함을 알려드립니다.)
URLhttps://www.data.go.kr/data/15005247/fileData.do

Alerts

2022년산 가격(유묘) is highly overall correlated with 묘령High correlation
묘령 is highly overall correlated with 2022년산 가격(유묘)High correlation

Reproduction

Analysis started2023-12-12 16:17:54.492890
Analysis finished2023-12-12 16:17:54.897533
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수종별
Text

Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T01:17:55.022748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length3.875
Min length2

Characters and Unicode

Total characters93
Distinct characters42
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

Unique16 ?
Unique (%)66.7%

Sample

1st row고로쇠나무
2nd row곰솔(해송)
3rd row낙엽송
4th row느티나무
5th row리기다소나무
ValueCountFrequency (%)
전나무 2
 
8.3%
소나무 2
 
8.3%
잣나무 2
 
8.3%
스트로브잣나무 2
 
8.3%
산벚 1
 
4.2%
고로쇠나무 1
 
4.2%
곰솔(해송 1
 
4.2%
편백 1
 
4.2%
자작나무 1
 
4.2%
옻나무 1
 
4.2%
Other values (10) 10
41.7%
2023-12-13T01:17:55.368833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
무 17
18.3%
나 17
18.3%
잣 4
 
4.3%
소 4
 
4.3%
리 3
 
3.2%
로 3
 
3.2%
백 3
 
3.2%
전 2
 
2.2%
다 2
 
2.2%
기 2
 
2.2%
Other values (32) 36
38.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91
97.8%
Close Punctuation 1
 
1.1%
Open Punctuation 1
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 17
18.7%
나 17
18.7%
잣 4
 
4.4%
소 4
 
4.4%
리 3
 
3.3%
로 3
 
3.3%
백 3
 
3.3%
전 2
 
2.2%
다 2
 
2.2%
기 2
 
2.2%
Other values (30) 34
37.4%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91
97.8%
Common 2
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 17
18.7%
나 17
18.7%
잣 4
 
4.4%
소 4
 
4.4%
리 3
 
3.3%
로 3
 
3.3%
백 3
 
3.3%
전 2
 
2.2%
다 2
 
2.2%
기 2
 
2.2%
Other values (30) 34
37.4%
Common
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91
97.8%
ASCII 2
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
무 17
18.7%
나 17
18.7%
잣 4
 
4.4%
소 4
 
4.4%
리 3
 
3.3%
로 3
 
3.3%
백 3
 
3.3%
전 2
 
2.2%
다 2
 
2.2%
기 2
 
2.2%
Other values (30) 34
37.4%
ASCII
ValueCountFrequency (%)
) 1
50.0%
( 1
50.0%

묘령
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
1-0
20 
1-1
 
2
2-0
 
2

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1-0
2nd row1-0
3rd row1-0
4th row1-0
5th row1-0

Common Values

ValueCountFrequency (%)
1-0 20
83.3%
1-1 2
 
8.3%
2-0 2
 
8.3%

Length

2023-12-13T01:17:55.506999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:17:55.936604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1-0 20
83.3%
1-1 2
 
8.3%
2-0 2
 
8.3%

2022년산 가격(유묘)
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean249554.17
Minimum62200
Maximum760700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T01:17:56.037382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62200
5-th percentile63135
Q184925
median132850
Q3367775
95-th percentile577750
Maximum760700
Range698500
Interquartile range (IQR)282850

Descriptive statistics

Standard deviation201338.05
Coefficient of variation (CV)0.80679098
Kurtosis-0.0037967113
Mean249554.17
Median Absolute Deviation (MAD)70250
Skewness0.88746919
Sum5989300
Variance4.053701 × 1010
MonotonicityNot monotonic
2023-12-13T01:17:56.161809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
97800 2
 
8.3%
352800 1
 
4.2%
63900 1
 
4.2%
85000 1
 
4.2%
97200 1
 
4.2%
62200 1
 
4.2%
163300 1
 
4.2%
508900 1
 
4.2%
760700 1
 
4.2%
332000 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
62200 1
4.2%
63000 1
4.2%
63900 1
4.2%
64200 1
4.2%
69700 1
4.2%
84700 1
4.2%
85000 1
4.2%
89200 1
4.2%
97200 1
4.2%
97800 2
8.3%
ValueCountFrequency (%)
760700 1
4.2%
589900 1
4.2%
508900 1
4.2%
444300 1
4.2%
428400 1
4.2%
412700 1
4.2%
352800 1
4.2%
350800 1
4.2%
336600 1
4.2%
332000 1
4.2%

Interactions

2023-12-13T01:17:54.613358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:17:56.246714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수종별묘령2022년산 가격(유묘)
수종별1.0000.0000.781
묘령0.0001.0000.719
2022년산 가격(유묘)0.7810.7191.000
2023-12-13T01:17:56.347709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2022년산 가격(유묘)묘령
2022년산 가격(유묘)1.0000.534
묘령0.5341.000

Missing values

2023-12-13T01:17:54.752157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:17:54.864335image/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

수종별묘령2022년산 가격(유묘)
0고로쇠나무1-0352800
1곰솔(해송)1-063900
2낙엽송1-084700
3느티나무1-0428400
4리기다소나무1-064200
5리기테다소나무1-063000
6물푸레1-0331800
7박달나무1-0412700
8백합나무1-0589900
9산벚1-0444300
수종별묘령2022년산 가격(유묘)
14스트로브잣나무1-089200
15스트로브잣나무1-1332000
16옻나무1-0760700
17자작나무1-0508900
18잣나무1-097800
19잣나무2-0163300
20전나무1-062200
21전나무2-097800
22편백1-097200
23화백1-085000