Overview

Dataset statistics

Number of variables4
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory36.5 B

Variable types

Numeric2
Categorical1
Text1

Dataset

Description2021년~2023년 7월의 환경부, 한국환경산업기술원, 녹색소비자연대, 녹색구매네트워크 등 민관이 공동으로 선정한 생활화학제품 화학물질 저감 우수제품 참여기업 목록 및 신청 제품 수 입니다.
URLhttps://www.data.go.kr/data/15105283/fileData.do

Alerts

순번 is highly overall correlated with 기업명High correlation
화학물질저감 우수제품 선정제품 수 is highly overall correlated with 기업명High correlation
기업명 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
보유 선정제품(호) has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:01:16.453034
Analysis finished2023-12-12 02:01:17.302071
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.5961538
Minimum1
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T11:01:17.378516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q14.75
median5
Q38
95-th percentile9.45
Maximum11
Range10
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.3116043
Coefficient of variation (CV)0.41307018
Kurtosis-0.43957011
Mean5.5961538
Median Absolute Deviation (MAD)2
Skewness0.25851963
Sum291
Variance5.3435143
MonotonicityIncreasing
2023-12-12T11:01:17.527393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
5 20
38.5%
8 9
17.3%
3 5
 
9.6%
2 4
 
7.7%
7 4
 
7.7%
4 3
 
5.8%
9 2
 
3.8%
10 2
 
3.8%
1 1
 
1.9%
6 1
 
1.9%
ValueCountFrequency (%)
1 1
 
1.9%
2 4
 
7.7%
3 5
 
9.6%
4 3
 
5.8%
5 20
38.5%
6 1
 
1.9%
7 4
 
7.7%
8 9
17.3%
9 2
 
3.8%
10 2
 
3.8%
ValueCountFrequency (%)
11 1
 
1.9%
10 2
 
3.8%
9 2
 
3.8%
8 9
17.3%
7 4
 
7.7%
6 1
 
1.9%
5 20
38.5%
4 3
 
5.8%
3 5
 
9.6%
2 4
 
7.7%

기업명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)21.2%
Missing0
Missing (%)0.0%
Memory size548.0 B
㈜불스원
20 
㈜크린하우스
9 
라이온코리아㈜
5 
엘지생활건강
4 
코웨이
4 
Other values (6)
10 

Length

Max length14
Median length8
Mean length5.4423077
Min length3

Unique

Unique3 ?
Unique (%)5.8%

Sample

1st row유한크로락스
2nd row엘지생활건강
3rd row엘지생활건강
4th row엘지생활건강
5th row엘지생활건강

Common Values

ValueCountFrequency (%)
㈜불스원 20
38.5%
㈜크린하우스 9
17.3%
라이온코리아㈜ 5
 
9.6%
엘지생활건강 4
 
7.7%
코웨이 4
 
7.7%
메디앙스㈜ 3
 
5.8%
㈜이마트 2
 
3.8%
롯데쇼핑㈜ 롯데마트사업본부 2
 
3.8%
유한크로락스 1
 
1.9%
비앤디생활건강 1
 
1.9%

Length

2023-12-12T11:01:17.699085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
㈜불스원 20
37.0%
㈜크린하우스 9
16.7%
라이온코리아㈜ 5
 
9.3%
엘지생활건강 4
 
7.4%
코웨이 4
 
7.4%
메디앙스㈜ 3
 
5.6%
㈜이마트 2
 
3.7%
롯데쇼핑㈜ 2
 
3.7%
롯데마트사업본부 2
 
3.7%
유한크로락스 1
 
1.9%
Other values (2) 2
 
3.7%

화학물질저감 우수제품 선정제품 수
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.730769
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size600.0 B
2023-12-12T11:01:17.846807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q14
median9
Q320
95-th percentile20
Maximum20
Range19
Interquartile range (IQR)16

Descriptive statistics

Standard deviation7.7209046
Coefficient of variation (CV)0.71951082
Kurtosis-1.7549197
Mean10.730769
Median Absolute Deviation (MAD)7
Skewness0.2520362
Sum558
Variance59.612368
MonotonicityNot monotonic
2023-12-12T11:01:18.300883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
20 20
38.5%
9 9
17.3%
4 8
 
15.4%
5 5
 
9.6%
2 4
 
7.7%
1 3
 
5.8%
3 3
 
5.8%
ValueCountFrequency (%)
1 3
 
5.8%
2 4
 
7.7%
3 3
 
5.8%
4 8
 
15.4%
5 5
 
9.6%
9 9
17.3%
20 20
38.5%
ValueCountFrequency (%)
20 20
38.5%
9 9
17.3%
5 5
 
9.6%
4 8
 
15.4%
3 3
 
5.8%
2 4
 
7.7%
1 3
 
5.8%

보유 선정제품(호)
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size548.0 B
2023-12-12T11:01:18.607664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.8269231
Min length2

Characters and Unicode

Total characters147
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row1호
2nd row2호
3rd row3호
4th row44호
5th row45호
ValueCountFrequency (%)
1호 1
 
1.9%
2호 1
 
1.9%
17호 1
 
1.9%
5호 1
 
1.9%
6호 1
 
1.9%
7호 1
 
1.9%
8호 1
 
1.9%
9호 1
 
1.9%
10호 1
 
1.9%
11호 1
 
1.9%
Other values (42) 42
80.8%
2023-12-12T11:01:19.044616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 52
35.4%
1 16
 
10.9%
2 16
 
10.9%
3 15
 
10.2%
4 15
 
10.2%
5 8
 
5.4%
9 5
 
3.4%
0 5
 
3.4%
6 5
 
3.4%
7 5
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95
64.6%
Other Letter 52
35.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
16.8%
2 16
16.8%
3 15
15.8%
4 15
15.8%
5 8
8.4%
9 5
 
5.3%
0 5
 
5.3%
6 5
 
5.3%
7 5
 
5.3%
8 5
 
5.3%
Other Letter
ValueCountFrequency (%)
호 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 95
64.6%
Hangul 52
35.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 16
16.8%
2 16
16.8%
3 15
15.8%
4 15
15.8%
5 8
8.4%
9 5
 
5.3%
0 5
 
5.3%
6 5
 
5.3%
7 5
 
5.3%
8 5
 
5.3%
Hangul
ValueCountFrequency (%)
호 52
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 95
64.6%
Hangul 52
35.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 52
100.0%
ASCII
ValueCountFrequency (%)
1 16
16.8%
2 16
16.8%
3 15
15.8%
4 15
15.8%
5 8
8.4%
9 5
 
5.3%
0 5
 
5.3%
6 5
 
5.3%
7 5
 
5.3%
8 5
 
5.3%

Interactions

2023-12-12T11:01:16.815619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:16.612571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:16.958790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:01:16.711350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:01:19.188150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번기업명화학물질저감 우수제품 선정제품 수보유 선정제품(호)
순번1.0001.0001.0001.000
기업명1.0001.0001.0001.000
화학물질저감 우수제품 선정제품 수1.0001.0001.0001.000
보유 선정제품(호)1.0001.0001.0001.000
2023-12-12T11:01:19.317596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번화학물질저감 우수제품 선정제품 수기업명
순번1.000-0.0880.988
화학물질저감 우수제품 선정제품 수-0.0881.0000.934
기업명0.9880.9341.000

Missing values

2023-12-12T11:01:17.118390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:01:17.249099image/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

순번기업명화학물질저감 우수제품 선정제품 수보유 선정제품(호)
01유한크로락스11호
12엘지생활건강42호
22엘지생활건강43호
32엘지생활건강444호
42엘지생활건강445호
53라이온코리아㈜512호
63라이온코리아㈜539호
73라이온코리아㈜540호
83라이온코리아㈜541호
93라이온코리아㈜54호
순번기업명화학물질저감 우수제품 선정제품 수보유 선정제품(호)
428㈜크린하우스921호
438㈜크린하우스922호
448㈜크린하우스925호
458㈜크린하우스937호
468㈜크린하우스938호
479㈜이마트242호
489㈜이마트243호
4910롯데쇼핑㈜ 롯데마트사업본부248호
5010롯데쇼핑㈜ 롯데마트사업본부249호
5111애경산업㈜150호