Overview

Dataset statistics

Number of variables4
Number of observations230
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.5 KiB
Average record size in memory33.6 B

Variable types

Numeric1
Text2
Categorical1

Dataset

Description전북특별자치도 대아수목원 종자은행 보유 현황(식물명(종자),과명,보관장소 등)우리기관에서는 더 이상 생성 불가 데이터입니다.
Author전북특별자치도
URLhttps://www.data.go.kr/data/15055683/fileData.do

Alerts

보관장소 has constant value ""Constant
순번 has unique valuesUnique
식물명(종자) has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:59:29.178602
Analysis finished2024-03-14 23:59:30.052289
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.5
Minimum1
Maximum230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2024-03-15T08:59:30.274634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile12.45
Q158.25
median115.5
Q3172.75
95-th percentile218.55
Maximum230
Range229
Interquartile range (IQR)114.5

Descriptive statistics

Standard deviation66.539462
Coefficient of variation (CV)0.57609924
Kurtosis-1.2
Mean115.5
Median Absolute Deviation (MAD)57.5
Skewness0
Sum26565
Variance4427.5
MonotonicityStrictly increasing
2024-03-15T08:59:30.708226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
146 1
 
0.4%
148 1
 
0.4%
149 1
 
0.4%
150 1
 
0.4%
151 1
 
0.4%
152 1
 
0.4%
153 1
 
0.4%
154 1
 
0.4%
155 1
 
0.4%
Other values (220) 220
95.7%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
230 1
0.4%
229 1
0.4%
228 1
0.4%
227 1
0.4%
226 1
0.4%
225 1
0.4%
224 1
0.4%
223 1
0.4%
222 1
0.4%
221 1
0.4%

식물명(종자)
Text

UNIQUE 

Distinct230
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-15T08:59:32.159530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.9521739
Min length1

Characters and Unicode

Total characters909
Distinct characters254
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

Unique230 ?
Unique (%)100.0%

Sample

1st row가막살나무
2nd row가새덜꿩나무
3rd row가침박달
4th row감국
5th row감나무
ValueCountFrequency (%)
가막살나무 1
 
0.4%
수수꽃다리 1
 
0.4%
시무나무 1
 
0.4%
신나무 1
 
0.4%
싸리나무 1
 
0.4%
쑥부쟁이 1
 
0.4%
애기똥풀 1
 
0.4%
야광나무 1
 
0.4%
얼레지 1
 
0.4%
열녀목 1
 
0.4%
Other values (220) 220
95.7%
2024-03-15T08:59:33.846862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
무 92
 
10.1%
나 81
 
8.9%
화 24
 
2.6%
) 19
 
2.1%
( 19
 
2.1%
리 17
 
1.9%
궁 15
 
1.7%
꽃 15
 
1.7%
이 13
 
1.4%
풀 12
 
1.3%
Other values (244) 602
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 871
95.8%
Close Punctuation 19
 
2.1%
Open Punctuation 19
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
무 92
 
10.6%
나 81
 
9.3%
화 24
 
2.8%
리 17
 
2.0%
궁 15
 
1.7%
꽃 15
 
1.7%
이 13
 
1.5%
풀 12
 
1.4%
자 11
 
1.3%
초 11
 
1.3%
Other values (242) 580
66.6%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 871
95.8%
Common 38
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
무 92
 
10.6%
나 81
 
9.3%
화 24
 
2.8%
리 17
 
2.0%
궁 15
 
1.7%
꽃 15
 
1.7%
이 13
 
1.5%
풀 12
 
1.4%
자 11
 
1.3%
초 11
 
1.3%
Other values (242) 580
66.6%
Common
ValueCountFrequency (%)
) 19
50.0%
( 19
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 871
95.8%
ASCII 38
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
무 92
 
10.6%
나 81
 
9.3%
화 24
 
2.8%
리 17
 
2.0%
궁 15
 
1.7%
꽃 15
 
1.7%
이 13
 
1.5%
풀 12
 
1.4%
자 11
 
1.3%
초 11
 
1.3%
Other values (242) 580
66.6%
ASCII
ValueCountFrequency (%)
) 19
50.0%
( 19
50.0%

과명
Text

Distinct67
Distinct (%)29.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2024-03-15T08:59:35.138782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.7608696
Min length2

Characters and Unicode

Total characters865
Distinct characters110
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)10.4%

Sample

1st row인동과
2nd row인동과
3rd row장미과
4th row국화과
5th row감나무과
ValueCountFrequency (%)
장미과 24
 
10.4%
국화과 21
 
9.1%
아욱과 18
 
7.8%
백합과 14
 
6.1%
미나리아재비과 9
 
3.9%
콩과 7
 
3.0%
붓꽃과 7
 
3.0%
단풍나무과 6
 
2.6%
산형과 5
 
2.2%
초롱꽃과 5
 
2.2%
Other values (57) 114
49.6%
2024-03-15T08:59:36.566602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 230
26.6%
나 65
 
7.5%
무 56
 
6.5%
미 34
 
3.9%
화 27
 
3.1%
아 27
 
3.1%
장 25
 
2.9%
국 21
 
2.4%
욱 18
 
2.1%
백 16
 
1.8%
Other values (100) 346
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 865
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 230
26.6%
나 65
 
7.5%
무 56
 
6.5%
미 34
 
3.9%
화 27
 
3.1%
아 27
 
3.1%
장 25
 
2.9%
국 21
 
2.4%
욱 18
 
2.1%
백 16
 
1.8%
Other values (100) 346
40.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 865
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 230
26.6%
나 65
 
7.5%
무 56
 
6.5%
미 34
 
3.9%
화 27
 
3.1%
아 27
 
3.1%
장 25
 
2.9%
국 21
 
2.4%
욱 18
 
2.1%
백 16
 
1.8%
Other values (100) 346
40.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 865
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 230
26.6%
나 65
 
7.5%
무 56
 
6.5%
미 34
 
3.9%
화 27
 
3.1%
아 27
 
3.1%
장 25
 
2.9%
국 21
 
2.4%
욱 18
 
2.1%
백 16
 
1.8%
Other values (100) 346
40.0%

보관장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
종자은행
230 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종자은행 230
100.0%

Length

2024-03-15T08:59:36.993639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:59:37.282881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
종자은행 230
100.0%

Interactions

2024-03-15T08:59:29.572303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:59:37.660153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번과명
순번1.0000.688
과명0.6881.000

Missing values

2024-03-15T08:59:29.755386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:59:29.937340image/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

순번식물명(종자)과명보관장소
01가막살나무인동과종자은행
12가새덜꿩나무인동과종자은행
23가침박달장미과종자은행
34감국국화과종자은행
45감나무감나무과종자은행
56개오동나무능소화과종자은행
67갯기름나물산형과종자은행
78갯취장미과종자은행
89결명자콩과종자은행
910고로쇠나무단풍나무과종자은행
순번식물명(종자)과명보관장소
220221헛개나무갈매나무과종자은행
221222현삼현삼과종자은행
222223홍자두장미과종자은행
223224홑왕원추리백합과종자은행
224225화살나무노박덩굴과종자은행
225226회양목회양목과종자은행
226227회향산형과종자은행
227228후박나무녹나무과종자은행
228229흰붓꽃붓꽃과종자은행
229230흰하늘매발톱미나리아재비과종자은행