Overview

Dataset statistics

Number of variables7
Number of observations57
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory60.3 B

Variable types

Numeric2
Text2
Categorical3

Dataset

Description중소기업CSR 발간 현황은 기업명, 보고서 명칭, 보고서 발간년도, 글로벌 리포팅 이니셔티브 적용 여부, 검증여부, 보고서 주소에 대한 데이터입니다.
URLhttps://www.data.go.kr/data/3061642/fileData.do

Alerts

글로벌 리포팅 이니셔티브(GRI) 적용 여부 has constant value ""Constant
구분 is highly overall correlated with 보고서 발간 년도 and 1 other fieldsHigh correlation
보고서 발간 년도 is highly overall correlated with 구분 and 1 other fieldsHigh correlation
보고서주소(URL) is highly overall correlated with 구분 and 1 other fieldsHigh correlation
보고서 검증 여부 is highly imbalanced (87.3%)Imbalance
구분 has unique valuesUnique
기업명 has unique valuesUnique
보고서 명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:47:33.705630
Analysis finished2023-12-12 08:47:34.664499
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T17:47:35.098782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2023-12-12T17:47:35.268308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

기업명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T17:47:35.563380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.8070175
Min length3

Characters and Unicode

Total characters331
Distinct characters121
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row㈜제트에이치티
2nd row㈜유진테크놀로지
3rd row㈜케이티피
4th row청맥㈜
5th row㈜에프에스코리아
ValueCountFrequency (%)
㈜제트에이치티 1
 
1.8%
㈜신영전자통신 1
 
1.8%
㈜더블유원 1
 
1.8%
㈜광신아이앤피 1
 
1.8%
㈜베스트씨피알 1
 
1.8%
㈜시즈글로벌 1
 
1.8%
주)에타 1
 
1.8%
청맥(주 1
 
1.8%
주)더에이치큐 1
 
1.8%
신진화스너공업(주 1
 
1.8%
Other values (47) 47
82.5%
2023-12-12T17:47:36.005102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
41
 
12.4%
14
 
4.2%
11
 
3.3%
11
 
3.3%
10
 
3.0%
( 9
 
2.7%
9
 
2.7%
) 8
 
2.4%
7
 
2.1%
7
 
2.1%
Other values (111) 204
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 273
82.5%
Other Symbol 41
 
12.4%
Open Punctuation 9
 
2.7%
Close Punctuation 8
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
5.1%
11
 
4.0%
11
 
4.0%
10
 
3.7%
9
 
3.3%
7
 
2.6%
7
 
2.6%
6
 
2.2%
6
 
2.2%
6
 
2.2%
Other values (108) 186
68.1%
Other Symbol
ValueCountFrequency (%)
41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 314
94.9%
Common 17
 
5.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
41
 
13.1%
14
 
4.5%
11
 
3.5%
11
 
3.5%
10
 
3.2%
9
 
2.9%
7
 
2.2%
7
 
2.2%
6
 
1.9%
6
 
1.9%
Other values (109) 192
61.1%
Common
ValueCountFrequency (%)
( 9
52.9%
) 8
47.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 273
82.5%
None 41
 
12.4%
ASCII 17
 
5.1%

Most frequent character per block

None
ValueCountFrequency (%)
41
100.0%
Hangul
ValueCountFrequency (%)
14
 
5.1%
11
 
4.0%
11
 
4.0%
10
 
3.7%
9
 
3.3%
7
 
2.6%
7
 
2.6%
6
 
2.2%
6
 
2.2%
6
 
2.2%
Other values (108) 186
68.1%
ASCII
ValueCountFrequency (%)
( 9
52.9%
) 8
47.1%

보고서 명칭
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-12T17:47:36.318519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length16.368421
Min length10

Characters and Unicode

Total characters933
Distinct characters139
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)100.0%

Sample

1st row㈜제트에이치티 2016 지속가능경영보고서
2nd row㈜유진테크놀로지 2016 지속가능경영보고서
3rd row㈜케이티피 2016 지속가능경영보고서
4th row청맥㈜ 2016 지속가능경영보고서
5th row㈜에프에스코리아 2016 지속가능경영보고서
ValueCountFrequency (%)
지속가능경영보고서 25
22.9%
2016 11
 
10.1%
2018 7
 
6.4%
2017 4
 
3.7%
2019 3
 
2.8%
보고서 2
 
1.8%
㈜제트에이치티 1
 
0.9%
주)더에이치큐_csr보고서 1
 
0.9%
토탈리빙(주)_csr보고서 1
 
0.9%
주)청우코아_csr보고서 1
 
0.9%
Other values (53) 53
48.6%
2023-12-12T17:47:36.768727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58
 
6.2%
57
 
6.1%
57
 
6.1%
52
 
5.6%
41
 
4.4%
32
 
3.4%
_ 32
 
3.4%
C 32
 
3.4%
S 32
 
3.4%
R 32
 
3.4%
Other values (129) 508
54.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 594
63.7%
Decimal Number 100
 
10.7%
Uppercase Letter 96
 
10.3%
Space Separator 52
 
5.6%
Other Symbol 41
 
4.4%
Connector Punctuation 32
 
3.4%
Open Punctuation 9
 
1.0%
Close Punctuation 9
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
 
9.8%
57
 
9.6%
57
 
9.6%
32
 
5.4%
27
 
4.5%
25
 
4.2%
25
 
4.2%
25
 
4.2%
25
 
4.2%
14
 
2.4%
Other values (114) 249
41.9%
Decimal Number
ValueCountFrequency (%)
1 25
25.0%
0 25
25.0%
2 25
25.0%
6 11
11.0%
8 7
 
7.0%
7 4
 
4.0%
9 3
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
C 32
33.3%
S 32
33.3%
R 32
33.3%
Space Separator
ValueCountFrequency (%)
52
100.0%
Other Symbol
ValueCountFrequency (%)
41
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 635
68.1%
Common 202
 
21.7%
Latin 96
 
10.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
 
9.1%
57
 
9.0%
57
 
9.0%
41
 
6.5%
32
 
5.0%
27
 
4.3%
25
 
3.9%
25
 
3.9%
25
 
3.9%
25
 
3.9%
Other values (115) 263
41.4%
Common
ValueCountFrequency (%)
52
25.7%
_ 32
15.8%
1 25
12.4%
0 25
12.4%
2 25
12.4%
6 11
 
5.4%
( 9
 
4.5%
) 9
 
4.5%
8 7
 
3.5%
7 4
 
2.0%
Latin
ValueCountFrequency (%)
C 32
33.3%
S 32
33.3%
R 32
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 594
63.7%
ASCII 298
31.9%
None 41
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
58
 
9.8%
57
 
9.6%
57
 
9.6%
32
 
5.4%
27
 
4.5%
25
 
4.2%
25
 
4.2%
25
 
4.2%
25
 
4.2%
14
 
2.4%
Other values (114) 249
41.9%
ASCII
ValueCountFrequency (%)
52
17.4%
_ 32
10.7%
C 32
10.7%
S 32
10.7%
R 32
10.7%
1 25
8.4%
0 25
8.4%
2 25
8.4%
6 11
 
3.7%
( 9
 
3.0%
Other values (4) 23
7.7%
None
ValueCountFrequency (%)
41
100.0%

보고서 발간 년도
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.7193
Minimum2017
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-12T17:47:36.915172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2020
Q32021
95-th percentile2022
Maximum2022
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.8589012
Coefficient of variation (CV)0.00092037603
Kurtosis-1.422117
Mean2019.7193
Median Absolute Deviation (MAD)2
Skewness-0.2298656
Sum115124
Variance3.4555138
MonotonicityIncreasing
2023-12-12T17:47:37.032130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2022 13
22.8%
2021 12
21.1%
2017 11
19.3%
2018 7
12.3%
2019 7
12.3%
2020 7
12.3%
ValueCountFrequency (%)
2017 11
19.3%
2018 7
12.3%
2019 7
12.3%
2020 7
12.3%
2021 12
21.1%
2022 13
22.8%
ValueCountFrequency (%)
2022 13
22.8%
2021 12
21.1%
2020 7
12.3%
2019 7
12.3%
2018 7
12.3%
2017 11
19.3%
Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size588.0 B
57 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
57
100.0%

Length

2023-12-12T17:47:37.193878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:37.320270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
57
100.0%

보고서 검증 여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
아니요
56 
 
1

Length

Max length3
Median length3
Mean length2.9649123
Min length1

Unique

Unique1 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
아니요 56
98.2%
1
 
1.8%

Length

2023-12-12T17:47:37.434806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:37.616290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
아니요 56
98.2%
1
 
1.8%

보고서주소(URL)
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=1
17 
https://www.smes.go.kr/csr/user/data/data_db.do?bbsMode=list&searchCondition=&searchKeyword=&pageIndex=2
13 
https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=2
10 
https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=1#
10 
https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=3

Length

Max length104
Median length103
Mean length103.4386
Min length103

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=3
2nd rowhttps://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=3
3rd rowhttps://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=3
4th rowhttps://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=3
5th rowhttps://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=3

Common Values

ValueCountFrequency (%)
https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=1 17
29.8%
https://www.smes.go.kr/csr/user/data/data_db.do?bbsMode=list&searchCondition=&searchKeyword=&pageIndex=2 13
22.8%
https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=2 10
17.5%
https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=1# 10
17.5%
https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=3 5
 
8.8%
https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=2# 2
 
3.5%

Length

2023-12-12T17:47:37.730644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:37.854173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.smes.go.kr/csr/user/data/data_db.dobbsmode=list&searchcondition=&searchkeyword=&pageindex=1 27
47.4%
https://www.smes.go.kr/csr/user/data/data_db.do?bbsmode=list&searchcondition=&searchkeyword=&pageindex=2 13
22.8%
https://www.smes.go.kr/csr/user/data/data_db.dobbsmode=list&searchcondition=&searchkeyword=&pageindex=2 12
21.1%
https://www.smes.go.kr/csr/user/data/data_db.dobbsmode=list&searchcondition=&searchkeyword=&pageindex=3 5
 
8.8%

Interactions

2023-12-12T17:47:34.248873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:34.057995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:34.344514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:47:34.168827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:47:37.973374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기업명보고서 명칭보고서 발간 년도보고서 검증 여부보고서주소(URL)
구분1.0001.0001.0000.9200.0000.932
기업명1.0001.0001.0001.0001.0001.000
보고서 명칭1.0001.0001.0001.0001.0001.000
보고서 발간 년도0.9201.0001.0001.0000.1640.972
보고서 검증 여부0.0001.0001.0000.1641.0000.000
보고서주소(URL)0.9321.0001.0000.9720.0001.000
2023-12-12T17:47:38.090529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
보고서주소(URL)보고서 검증 여부
보고서주소(URL)1.0000.000
보고서 검증 여부0.0001.000
2023-12-12T17:47:38.201131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분보고서 발간 년도보고서 검증 여부보고서주소(URL)
구분1.0000.9830.0000.804
보고서 발간 년도0.9831.0000.1970.735
보고서 검증 여부0.0000.1971.0000.000
보고서주소(URL)0.8040.7350.0001.000

Missing values

2023-12-12T17:47:34.489851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:47:34.612979image/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

구분기업명보고서 명칭보고서 발간 년도글로벌 리포팅 이니셔티브(GRI) 적용 여부보고서 검증 여부보고서주소(URL)
01㈜제트에이치티㈜제트에이치티 2016 지속가능경영보고서2017아니요https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=3
12㈜유진테크놀로지㈜유진테크놀로지 2016 지속가능경영보고서2017아니요https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=3
23㈜케이티피㈜케이티피 2016 지속가능경영보고서2017아니요https://www.smes.go.kr/csr/user/data/data_db.dobbsMode=list&searchCondition=&searchKeyword=&pageIndex=3
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구분기업명보고서 명칭보고서 발간 년도글로벌 리포팅 이니셔티브(GRI) 적용 여부보고서 검증 여부보고서주소(URL)
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