Overview

Dataset statistics

Number of variables17
Number of observations46
Missing cells3
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.4 KiB
Average record size in memory142.9 B

Variable types

Numeric3
Categorical5
Text2
DateTime7

Dataset

Description한국환경산업기술원 환경영향평가사 자격검정시스템 시험일정 데이터(시행종목명, 일정 등) 2023년도 정보 입니다.
URLhttps://www.data.go.kr/data/15120423/fileData.do

Alerts

접수구분명 is highly overall correlated with 접수구분 and 2 other fieldsHigh correlation
수수료 is highly overall correlated with 접수구분 and 2 other fieldsHigh correlation
접수구분 is highly overall correlated with 접수구분명 and 2 other fieldsHigh correlation
순번 is highly overall correlated with 년도 and 2 other fieldsHigh correlation
년도 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
차수 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
시험장소명 is highly overall correlated with 접수구분 and 1 other fieldsHigh correlation
서류제출 장소명 is highly overall correlated with 순번 and 3 other fieldsHigh correlation
시험종료일시 has 1 (2.2%) missing valuesMissing
합격발표일시 has 1 (2.2%) missing valuesMissing
합격발표종료일시 has 1 (2.2%) missing valuesMissing
순번 has unique valuesUnique
접수시작일시 has unique valuesUnique
접수종료일시 has unique valuesUnique
시험시행일시 has unique valuesUnique
등록자 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:42:14.133779
Analysis finished2023-12-12 03:42:16.149566
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.434783
Minimum1
Maximum47
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T12:42:16.246985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.25
median24.5
Q335.75
95-th percentile44.75
Maximum47
Range46
Interquartile range (IQR)22.5

Descriptive statistics

Standard deviation13.531284
Coefficient of variation (CV)0.55377142
Kurtosis-1.1672881
Mean24.434783
Median Absolute Deviation (MAD)11.5
Skewness-0.025794002
Sum1124
Variance183.09565
MonotonicityStrictly decreasing
2023-12-12T12:42:16.393583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
47 1
 
2.2%
12 1
 
2.2%
21 1
 
2.2%
20 1
 
2.2%
19 1
 
2.2%
18 1
 
2.2%
17 1
 
2.2%
16 1
 
2.2%
15 1
 
2.2%
14 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
1 1
2.2%
2 1
2.2%
3 1
2.2%
5 1
2.2%
6 1
2.2%
7 1
2.2%
8 1
2.2%
9 1
2.2%
10 1
2.2%
11 1
2.2%
ValueCountFrequency (%)
47 1
2.2%
46 1
2.2%
45 1
2.2%
44 1
2.2%
43 1
2.2%
42 1
2.2%
41 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%

년도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.6522
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T12:42:16.539648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2014
Q12016
median2019
Q32021.75
95-th percentile2023
Maximum2023
Range10
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation3.1142496
Coefficient of variation (CV)0.0015427371
Kurtosis-1.3090273
Mean2018.6522
Median Absolute Deviation (MAD)3
Skewness-0.10818939
Sum92858
Variance9.6985507
MonotonicityNot monotonic
2023-12-12T12:42:16.648977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 6
13.0%
2022 6
13.0%
2015 5
10.9%
2021 4
8.7%
2020 4
8.7%
2019 4
8.7%
2018 4
8.7%
2017 4
8.7%
2016 4
8.7%
2014 4
8.7%
ValueCountFrequency (%)
2013 1
 
2.2%
2014 4
8.7%
2015 5
10.9%
2016 4
8.7%
2017 4
8.7%
2018 4
8.7%
2019 4
8.7%
2020 4
8.7%
2021 4
8.7%
2022 6
13.0%
ValueCountFrequency (%)
2023 6
13.0%
2022 6
13.0%
2021 4
8.7%
2020 4
8.7%
2019 4
8.7%
2018 4
8.7%
2017 4
8.7%
2016 4
8.7%
2015 5
10.9%
2014 4
8.7%

차수
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)47.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.152174
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T12:42:16.759339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.25
Q15.25
median11
Q316.75
95-th percentile21
Maximum22
Range21
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation6.4977514
Coefficient of variation (CV)0.58264437
Kurtosis-1.2351192
Mean11.152174
Median Absolute Deviation (MAD)6
Skewness0.067364432
Sum513
Variance42.220773
MonotonicityDecreasing
2023-12-12T12:42:16.887944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 3
 
6.5%
3 3
 
6.5%
5 3
 
6.5%
22 2
 
4.3%
21 2
 
4.3%
4 2
 
4.3%
6 2
 
4.3%
7 2
 
4.3%
8 2
 
4.3%
9 2
 
4.3%
Other values (12) 23
50.0%
ValueCountFrequency (%)
1 3
6.5%
2 1
 
2.2%
3 3
6.5%
4 2
4.3%
5 3
6.5%
6 2
4.3%
7 2
4.3%
8 2
4.3%
9 2
4.3%
10 2
4.3%
ValueCountFrequency (%)
22 2
4.3%
21 2
4.3%
20 2
4.3%
19 2
4.3%
18 2
4.3%
17 2
4.3%
16 2
4.3%
15 2
4.3%
14 2
4.3%
13 2
4.3%

접수구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
필기
24 
면접
22 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row면접
2nd row필기
3rd row면접
4th row필기
5th row면접

Common Values

ValueCountFrequency (%)
필기 24
52.2%
면접 22
47.8%

Length

2023-12-12T12:42:17.028338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:42:17.141251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
필기 24
52.2%
면접 22
47.8%

시행종목명
Text

Distinct25
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T12:42:17.346216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length22.347826
Min length12

Characters and Unicode

Total characters1028
Distinct characters28
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

Unique4 ?
Unique (%)8.7%

Sample

1st row2023년 제22회 환경영향평가사 자격시험
2nd row2023년 제22회 환경영향평가사 자격시험
3rd row2023년 제21회 환경영향평가사 자격시험
4th row2023년 제21회 환경영향평가사 자격시험
5th row2023년 제20회 환경영향평가사 자격시험
ValueCountFrequency (%)
환경영향평가사 46
25.3%
자격시험 45
24.7%
2023년 6
 
3.3%
2022년 6
 
3.3%
2021년 4
 
2.2%
2019년 4
 
2.2%
2016년 4
 
2.2%
2020년 4
 
2.2%
2015년 4
 
2.2%
2018년 4
 
2.2%
Other values (28) 55
30.2%
2023-12-12T12:42:17.705836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
136
 
13.2%
2 82
 
8.0%
1 55
 
5.4%
0 53
 
5.2%
험 46
 
4.5%
시 46
 
4.5%
환 46
 
4.5%
경 46
 
4.5%
영 46
 
4.5%
향 46
 
4.5%
Other values (18) 426
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 642
62.5%
Decimal Number 250
 
24.3%
Space Separator 136
 
13.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
험 46
 
7.2%
시 46
 
7.2%
환 46
 
7.2%
경 46
 
7.2%
영 46
 
7.2%
향 46
 
7.2%
평 46
 
7.2%
가 46
 
7.2%
사 46
 
7.2%
격 45
 
7.0%
Other values (7) 183
28.5%
Decimal Number
ValueCountFrequency (%)
2 82
32.8%
1 55
22.0%
0 53
21.2%
3 12
 
4.8%
8 8
 
3.2%
9 8
 
3.2%
7 8
 
3.2%
6 8
 
3.2%
5 8
 
3.2%
4 8
 
3.2%
Space Separator
ValueCountFrequency (%)
136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 642
62.5%
Common 386
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
험 46
 
7.2%
시 46
 
7.2%
환 46
 
7.2%
경 46
 
7.2%
영 46
 
7.2%
향 46
 
7.2%
평 46
 
7.2%
가 46
 
7.2%
사 46
 
7.2%
격 45
 
7.0%
Other values (7) 183
28.5%
Common
ValueCountFrequency (%)
136
35.2%
2 82
21.2%
1 55
14.2%
0 53
 
13.7%
3 12
 
3.1%
8 8
 
2.1%
9 8
 
2.1%
7 8
 
2.1%
6 8
 
2.1%
5 8
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 642
62.5%
ASCII 386
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
136
35.2%
2 82
21.2%
1 55
14.2%
0 53
 
13.7%
3 12
 
3.1%
8 8
 
2.1%
9 8
 
2.1%
7 8
 
2.1%
6 8
 
2.1%
5 8
 
2.1%
Hangul
ValueCountFrequency (%)
험 46
 
7.2%
시 46
 
7.2%
환 46
 
7.2%
경 46
 
7.2%
영 46
 
7.2%
향 46
 
7.2%
평 46
 
7.2%
가 46
 
7.2%
사 46
 
7.2%
격 45
 
7.0%
Other values (7) 183
28.5%

접수구분명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
1차 필기시험
24 
2차 면접시험
22 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2차 면접시험
2nd row1차 필기시험
3rd row2차 면접시험
4th row1차 필기시험
5th row2차 면접시험

Common Values

ValueCountFrequency (%)
1차 필기시험 24
52.2%
2차 면접시험 22
47.8%

Length

2023-12-12T12:42:17.840745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:42:17.941235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1차 24
26.1%
필기시험 24
26.1%
2차 22
23.9%
면접시험 22
23.9%

접수시작일시
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2013-08-05 00:00:00
Maximum2023-10-18 00:00:00
2023-12-12T12:42:18.071041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:18.248674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

접수종료일시
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2013-08-09 00:00:00
Maximum2023-10-24 00:00:00
2023-12-12T12:42:18.819238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:19.018965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

시험시행일시
Date

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2013-09-07 00:00:00
Maximum2023-11-11 00:00:00
2023-12-12T12:42:19.214499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:19.406093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

시험종료일시
Date

MISSING 

Distinct45
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size500.0 B
Minimum2013-09-07 00:00:00
Maximum2023-11-11 00:00:00
2023-12-12T12:42:19.578524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:19.759289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

시험장소명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
성동공업고등학교
20 
한국환경산업기술원 본관
14 
한양공업고등학교
7 
한국환경산업기술원 별관
 
2
선린인터넷고등학교
 
1
Other values (2)
 
2

Length

Max length16
Median length8
Mean length9.5869565
Min length8

Unique

Unique3 ?
Unique (%)6.5%

Sample

1st row한국환경산업기술원 본관
2nd row한양공업고등학교
3rd row한국환경산업기술원 본관
4th row한양공업고등학교
5th row한국환경산업기술원 본관

Common Values

ValueCountFrequency (%)
성동공업고등학교 20
43.5%
한국환경산업기술원 본관 14
30.4%
한양공업고등학교 7
 
15.2%
한국환경산업기술원 별관 2
 
4.3%
선린인터넷고등학교 1
 
2.2%
한국환경산업기술원 산업육성2실 1
 
2.2%
서울공업고등학교 1
 
2.2%

Length

2023-12-12T12:42:19.963842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:42:20.129632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
성동공업고등학교 20
31.7%
한국환경산업기술원 17
27.0%
본관 14
22.2%
한양공업고등학교 7
 
11.1%
별관 2
 
3.2%
선린인터넷고등학교 1
 
1.6%
산업육성2실 1
 
1.6%
서울공업고등학교 1
 
1.6%

수수료
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size500.0 B
87000
23 
91000
22 
0
 
1

Length

Max length5
Median length5
Mean length4.9130435
Min length1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st row91000
2nd row87000
3rd row91000
4th row87000
5th row91000

Common Values

ValueCountFrequency (%)
87000 23
50.0%
91000 22
47.8%
0 1
 
2.2%

Length

2023-12-12T12:42:20.317629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:42:20.447181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
87000 23
50.0%
91000 22
47.8%
0 1
 
2.2%

합격발표일시
Date

MISSING 

Distinct45
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size500.0 B
Minimum2013-09-30 00:00:00
Maximum2023-11-16 00:00:00
2023-12-12T12:42:20.630076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:20.819777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

합격발표종료일시
Date

MISSING 

Distinct45
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size500.0 B
Minimum2013-10-04 00:00:00
Maximum2023-11-23 00:00:00
2023-12-12T12:42:20.984450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:21.144782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)

서류제출 장소명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size500.0 B
한국환경산업기술원 기업육성실
14 
한국환경산업기술원 환경기업육성팀
8 
한국환경산업기술원 산업육성1실
8 
한국환경산업기술원 산업육성2실
7 
한국환경산업기술원 환경기업육성실
4 
Other values (3)
5 

Length

Max length17
Median length16
Mean length15.804348
Min length11

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row한국환경산업기술원 기업육성실
2nd row한국환경산업기술원 기업육성실
3rd row한국환경산업기술원 기업육성실
4th row한국환경산업기술원 기업육성실
5th row한국환경산업기술원 기업육성실

Common Values

ValueCountFrequency (%)
한국환경산업기술원 기업육성실 14
30.4%
한국환경산업기술원 환경기업육성팀 8
17.4%
한국환경산업기술원 산업육성1실 8
17.4%
한국환경산업기술원 산업육성2실 7
15.2%
한국환경산업기술원 환경기업육성실 4
 
8.7%
환경영향평가사 자격검정T/F 3
 
6.5%
한국환경산업기술원 별관 440호 1
 
2.2%
(사)환경영향평가협회 1
 
2.2%

Length

2023-12-12T12:42:21.290733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:42:21.433765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한국환경산업기술원 42
45.7%
기업육성실 14
 
15.2%
환경기업육성팀 8
 
8.7%
산업육성1실 8
 
8.7%
산업육성2실 7
 
7.6%
환경기업육성실 4
 
4.3%
환경영향평가사 3
 
3.3%
자격검정t/f 3
 
3.3%
별관 1
 
1.1%
440호 1
 
1.1%

등록일
Date

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
Minimum2013-07-16 00:00:00
Maximum2022-11-28 00:00:00
2023-12-12T12:42:21.587515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:21.716236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

등록자
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T12:42:21.958224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length15
Mean length15
Min length15

Characters and Unicode

Total characters690
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st rowV00000000014191
2nd rowV00000000014192
3rd rowV00000000014193
4th rowV00000000014194
5th rowV00000000014195
ValueCountFrequency (%)
v00000000014191 1
 
2.2%
v00000000014224 1
 
2.2%
v00000000014235 1
 
2.2%
v00000000014216 1
 
2.2%
v00000000014217 1
 
2.2%
v00000000014218 1
 
2.2%
v00000000014219 1
 
2.2%
v00000000014220 1
 
2.2%
v00000000014221 1
 
2.2%
v00000000014222 1
 
2.2%
Other values (36) 36
78.3%
2023-12-12T12:42:22.419004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 428
62.0%
1 70
 
10.1%
2 52
 
7.5%
4 51
 
7.4%
V 46
 
6.7%
9 13
 
1.9%
3 12
 
1.7%
5 5
 
0.7%
6 5
 
0.7%
7 4
 
0.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 644
93.3%
Uppercase Letter 46
 
6.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 428
66.5%
1 70
 
10.9%
2 52
 
8.1%
4 51
 
7.9%
9 13
 
2.0%
3 12
 
1.9%
5 5
 
0.8%
6 5
 
0.8%
7 4
 
0.6%
8 4
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
V 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 644
93.3%
Latin 46
 
6.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 428
66.5%
1 70
 
10.9%
2 52
 
8.1%
4 51
 
7.9%
9 13
 
2.0%
3 12
 
1.9%
5 5
 
0.8%
6 5
 
0.8%
7 4
 
0.6%
8 4
 
0.6%
Latin
ValueCountFrequency (%)
V 46
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 690
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 428
62.0%
1 70
 
10.1%
2 52
 
7.5%
4 51
 
7.4%
V 46
 
6.7%
9 13
 
1.9%
3 12
 
1.7%
5 5
 
0.7%
6 5
 
0.7%
7 4
 
0.6%

Interactions

2023-12-12T12:42:15.389130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:14.843229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:15.110271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:15.479529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:14.919880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:15.206689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:15.559248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:15.015098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:42:15.291054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:42:22.600662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번년도차수접수구분시행종목명접수구분명접수시작일시접수종료일시시험시행일시시험종료일시시험장소명수수료합격발표일시합격발표종료일시서류제출 장소명등록일등록자
순번1.0000.9850.9800.0000.9930.0001.0001.0001.0001.0000.5980.0001.0001.0000.8820.9981.000
년도0.9851.0000.9610.0001.0000.0001.0001.0001.0001.0000.5890.0001.0001.0000.8921.0001.000
차수0.9800.9611.0000.0001.0000.0001.0001.0001.0001.0000.4300.0001.0001.0000.9100.9981.000
접수구분0.0000.0000.0001.0000.0000.9981.0001.0001.0001.0000.7041.0001.0001.0000.0000.0001.000
시행종목명0.9931.0001.0000.0001.0000.0001.0001.0001.0001.0000.8490.2881.0001.0000.9820.9861.000
접수구분명0.0000.0000.0000.9980.0001.0001.0001.0001.0001.0000.7041.0001.0001.0000.0000.0001.000
접수시작일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
접수종료일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시험시행일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시험종료일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
시험장소명0.5980.5890.4300.7040.8490.7041.0001.0001.0001.0001.0000.5881.0001.0000.6630.8621.000
수수료0.0000.0000.0001.0000.2881.0001.0001.0001.0001.0000.5881.0001.0001.0000.7520.7501.000
합격발표일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
합격발표종료일시1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
서류제출 장소명0.8820.8920.9100.0000.9820.0001.0001.0001.0001.0000.6630.7521.0001.0001.0000.9921.000
등록일0.9981.0000.9980.0000.9860.0001.0001.0001.0001.0000.8620.7501.0001.0000.9921.0001.000
등록자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T12:42:22.812923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시험장소명접수구분명수수료접수구분서류제출 장소명
시험장소명1.0000.7160.4540.7160.424
접수구분명0.7161.0000.9890.9550.000
수수료0.4540.9891.0000.9890.614
접수구분0.7160.9550.9891.0000.000
서류제출 장소명0.4240.0000.6140.0001.000
2023-12-12T12:42:22.947983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번년도차수접수구분접수구분명시험장소명수수료서류제출 장소명
순번1.0000.9940.9990.0000.0000.3370.0000.661
년도0.9941.0000.9950.0000.0000.2860.0000.635
차수0.9990.9951.0000.0000.0000.2140.0000.725
접수구분0.0000.0000.0001.0000.9550.7160.9890.000
접수구분명0.0000.0000.0000.9551.0000.7160.9890.000
시험장소명0.3370.2860.2140.7160.7161.0000.4540.424
수수료0.0000.0000.0000.9890.9890.4541.0000.614
서류제출 장소명0.6610.6350.7250.0000.0000.4240.6141.000

Missing values

2023-12-12T12:42:15.691217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:42:15.917480image/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.
2023-12-12T12:42:16.079080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

순번년도차수접수구분시행종목명접수구분명접수시작일시접수종료일시시험시행일시시험종료일시시험장소명수수료합격발표일시합격발표종료일시서류제출 장소명등록일등록자
047202322면접2023년 제22회 환경영향평가사 자격시험2차 면접시험2023-10-182023-10-242023-11-112023-11-11한국환경산업기술원 본관910002023-11-162023-11-23한국환경산업기술원 기업육성실2022-11-28V00000000014191
146202322필기2023년 제22회 환경영향평가사 자격시험1차 필기시험2023-08-092023-08-182023-09-092023-09-09한양공업고등학교870002023-10-182023-10-22한국환경산업기술원 기업육성실2022-11-28V00000000014192
245202321면접2023년 제21회 환경영향평가사 자격시험2차 면접시험2023-06-212023-06-272023-07-152023-07-15한국환경산업기술원 본관910002023-07-202023-07-27한국환경산업기술원 기업육성실2022-11-28V00000000014193
344202321필기2023년 제21회 환경영향평가사 자격시험1차 필기시험2023-04-122023-04-212023-05-132023-05-13한양공업고등학교870002023-06-212023-06-25한국환경산업기술원 기업육성실2022-11-25V00000000014194
443202320면접2023년 제20회 환경영향평가사 자격시험2차 면접시험2023-03-152023-03-212023-04-012023-04-01한국환경산업기술원 본관910002023-04-062023-04-13한국환경산업기술원 기업육성실2022-11-25V00000000014195
542202320필기2023년 제20회 환경영향평가사 자격시험1차 필기시험2023-01-042023-01-132023-02-042023-02-04선린인터넷고등학교870002023-03-152023-03-19한국환경산업기술원 기업육성실2022-11-25V00000000014196
641202219면접2022년 제19회 환경영향평가사 자격시험2차 면접시험2022-09-302022-10-112022-11-052022-11-05한국환경산업기술원 본관910002022-11-112022-11-18한국환경산업기술원 기업육성실2022-01-21V00000000014197
740202219필기2022년 제19회 환경영향평가사 자격시험1차 필기시험2022-07-062022-07-152022-08-062022-08-06한양공업고등학교870002022-09-302022-10-04한국환경산업기술원 기업육성실2022-01-21V00000000014198
839202218면접2022년 제18회 환경영향평가사 자격시험2차 면접시험2022-05-262022-06-012022-06-112022-06-11한국환경산업기술원 본관910002022-06-172022-06-24한국환경산업기술원 기업육성실2022-01-21V00000000014199
938202218필기2022년 제18회 환경영향평가사 자격시험1차 필기시험2022-03-232022-04-012022-04-162022-04-16한양공업고등학교870002022-05-262022-05-30한국환경산업기술원 기업육성실2022-01-21V00000000014200
순번년도차수접수구분시행종목명접수구분명접수시작일시접수종료일시시험시행일시시험종료일시시험장소명수수료합격발표일시합격발표종료일시서류제출 장소명등록일등록자
361120165필기2016년 제5회 환경영향평가사 자격시험1차 필기시험2016-01-112016-01-202016-02-202016-02-20성동공업고등학교870002016-04-142016-04-18한국환경산업기술원 산업육성2실2015-11-10V00000000014227
371020154면접2015년 제4회 환경영향평가사 자격시험2차 면접시험2015-10-142015-10-232015-11-072015-11-07한국환경산업기술원 본관910002015-11-132015-11-20한국환경산업기술원 산업육성2실2014-12-15V00000000014228
38920154필기2015년 제4회 환경영향평가사 자격시험1차 필기시험2015-07-132015-07-222015-08-222015-08-22성동공업고등학교870002015-10-142015-10-20한국환경산업기술원 산업육성2실2014-12-15V00000000014229
39820153면접2015년 제3회 환경영향평가사 자격시험2차 면접시험2015-04-072015-04-172015-05-092015-05-09한국환경산업기술원 본관910002015-05-152015-05-22한국환경산업기술원 산업육성2실2014-12-12V00000000014230
40720153필기2015년 제3회 환경영향평가사 자격시험1차 필기시험2015-01-052015-01-142015-02-142015-02-14성동공업고등학교870002015-04-072015-04-14한국환경산업기술원 산업육성2실2014-12-11V00000000014231
41620143필기2014년도 제3회 환경영향평가사 자격시험1차 필기시험2014-07-102014-07-102014-08-302014-08-30서울공업고등학교870002014-07-102014-07-10환경영향평가사 자격검정T/F2014-07-10V00000000014232
42520142면접2014년 제2회 환경영향평가사 자격시험2차 면접시험2014-10-222014-10-312014-11-152014-11-15한국환경산업기술원 별관910002014-11-212014-11-28환경영향평가사 자격검정T/F2014-07-01V00000000014233
43320141면접2014년 제1회 환경영향평가사 자격시험2차 면접시험2014-02-282014-03-072014-03-222014-03-22한국환경산업기술원 별관910002014-04-232014-04-29환경영향평가사 자격검정T/F2014-01-28V00000000014234
44220141필기2014년 제1회 환경영향평가사 자격시험1차 필기시험2013-12-022013-12-112014-01-182014-01-18성동공업고등학교870002014-02-282014-03-07한국환경산업기술원 별관 440호2013-11-12V00000000014235
45120131필기2013년 환경영향평가사 모의 자격시험1차 필기시험2013-08-052013-08-092013-09-072013-09-07성동공업고등학교02013-09-302013-10-04(사)환경영향평가협회2013-07-16V00000000014236