Overview

Dataset statistics

Number of variables9
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory85.3 B

Variable types

Text1
Numeric7
Categorical1

Dataset

Description국가과학기술연구회 소관 25개 출연연구기관의 직종별 인력 정보(연구직, 기술직, 행정직, 기능직, 정규 무기 구분)를 제공합니다.
Author국가과학기술연구회
URLhttps://www.data.go.kr/data/15045197/fileData.do

Alerts

연구직(정규직) is highly overall correlated with 행정직(정규직)High correlation
기술직(정규직) is highly overall correlated with 기능직(무기계약직)High correlation
기술직(무기계약직) is highly overall correlated with 행정직(무기계약직)High correlation
행정직(정규직) is highly overall correlated with 연구직(정규직)High correlation
행정직(무기계약직) is highly overall correlated with 기술직(무기계약직) and 1 other fieldsHigh correlation
기능직(무기계약직) is highly overall correlated with 기술직(정규직)High correlation
연구직(무기계약직) is highly overall correlated with 행정직(무기계약직)High correlation
연구직(무기계약직) is highly imbalanced (64.0%)Imbalance
기관명 has unique valuesUnique
연구직(정규직) has unique valuesUnique
기술직(정규직) has 3 (12.0%) zerosZeros
기술직(무기계약직) has 16 (64.0%) zerosZeros
행정직(무기계약직) has 11 (44.0%) zerosZeros
기능직(정규직) has 9 (36.0%) zerosZeros
기능직(무기계약직) has 4 (16.0%) zerosZeros

Reproduction

Analysis started2023-12-12 19:54:38.235559
Analysis finished2023-12-12 19:54:44.650155
Duration6.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T04:54:44.835400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length8.28
Min length5

Characters and Unicode

Total characters207
Distinct characters58
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

Unique25 ?
Unique (%)100.0%

Sample

1st row한국과학기술연구원
2nd row녹색기술센터
3rd row한국기초과학지원연구원
4th row국가핵융합연구소
5th row한국천문연구원
ValueCountFrequency (%)
한국과학기술연구원 1
 
4.0%
한국표준과학연구원 1
 
4.0%
안전성평가연구소 1
 
4.0%
한국화학연구원 1
 
4.0%
한국전기연구원 1
 
4.0%
한국에너지기술연구원 1
 
4.0%
한국항공우주연구원 1
 
4.0%
재료연구소 1
 
4.0%
한국기계연구원 1
 
4.0%
한국지질자원연구원 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T04:54:45.312677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
연 24
 
11.6%
구 24
 
11.6%
원 22
 
10.6%
국 21
 
10.1%
한 20
 
9.7%
기 11
 
5.3%
술 8
 
3.9%
학 7
 
3.4%
소 5
 
2.4%
과 4
 
1.9%
Other values (48) 61
29.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 207
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 24
 
11.6%
구 24
 
11.6%
원 22
 
10.6%
국 21
 
10.1%
한 20
 
9.7%
기 11
 
5.3%
술 8
 
3.9%
학 7
 
3.4%
소 5
 
2.4%
과 4
 
1.9%
Other values (48) 61
29.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 207
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 24
 
11.6%
구 24
 
11.6%
원 22
 
10.6%
국 21
 
10.1%
한 20
 
9.7%
기 11
 
5.3%
술 8
 
3.9%
학 7
 
3.4%
소 5
 
2.4%
과 4
 
1.9%
Other values (48) 61
29.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 207
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
연 24
 
11.6%
구 24
 
11.6%
원 22
 
10.6%
국 21
 
10.1%
한 20
 
9.7%
기 11
 
5.3%
술 8
 
3.9%
학 7
 
3.4%
소 5
 
2.4%
과 4
 
1.9%
Other values (48) 61
29.5%

연구직(정규직)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean410.88
Minimum43
Maximum1869
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T04:54:45.497606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile85.8
Q1176
median303
Q3451
95-th percentile1067.4
Maximum1869
Range1826
Interquartile range (IQR)275

Descriptive statistics

Standard deviation394.38627
Coefficient of variation (CV)0.95985754
Kurtosis7.3840694
Mean410.88
Median Absolute Deviation (MAD)128
Skewness2.5016144
Sum10272
Variance155540.53
MonotonicityNot monotonic
2023-12-13T04:54:45.635578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
599 1
 
4.0%
43 1
 
4.0%
1119 1
 
4.0%
178 1
 
4.0%
355 1
 
4.0%
270 1
 
4.0%
338 1
 
4.0%
728 1
 
4.0%
239 1
 
4.0%
364 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
43 1
4.0%
71 1
4.0%
145 1
4.0%
152 1
4.0%
164 1
4.0%
175 1
4.0%
176 1
4.0%
178 1
4.0%
239 1
4.0%
249 1
4.0%
ValueCountFrequency (%)
1869 1
4.0%
1119 1
4.0%
861 1
4.0%
728 1
4.0%
599 1
4.0%
524 1
4.0%
451 1
4.0%
364 1
4.0%
355 1
4.0%
338 1
4.0%

연구직(무기계약직)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
0
22 
81
 
1
8
 
1
1
 
1

Length

Max length2
Median length1
Mean length1.04
Min length1

Unique

Unique3 ?
Unique (%)12.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 22
88.0%
81 1
 
4.0%
8 1
 
4.0%
1 1
 
4.0%

Length

2023-12-13T04:54:46.147640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:54:46.262394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 22
88.0%
81 1
 
4.0%
8 1
 
4.0%
1 1
 
4.0%

기술직(정규직)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct21
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63
Minimum0
Maximum158
Zeros3
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T04:54:46.387039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q124
median74
Q397
95-th percentile140.2
Maximum158
Range158
Interquartile range (IQR)73

Descriptive statistics

Standard deviation48.364071
Coefficient of variation (CV)0.76768366
Kurtosis-1.0963085
Mean63
Median Absolute Deviation (MAD)42
Skewness0.22324975
Sum1575
Variance2339.0833
MonotonicityNot monotonic
2023-12-13T04:54:46.542317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3
 
12.0%
7 2
 
8.0%
29 2
 
8.0%
74 1
 
4.0%
86 1
 
4.0%
158 1
 
4.0%
109 1
 
4.0%
144 1
 
4.0%
96 1
 
4.0%
24 1
 
4.0%
Other values (11) 11
44.0%
ValueCountFrequency (%)
0 3
12.0%
7 2
8.0%
8 1
 
4.0%
24 1
 
4.0%
29 2
8.0%
32 1
 
4.0%
40 1
 
4.0%
50 1
 
4.0%
74 1
 
4.0%
75 1
 
4.0%
ValueCountFrequency (%)
158 1
4.0%
144 1
4.0%
125 1
4.0%
112 1
4.0%
109 1
4.0%
99 1
4.0%
97 1
4.0%
96 1
4.0%
89 1
4.0%
86 1
4.0%

기술직(무기계약직)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct9
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8
Minimum0
Maximum126
Zeros16
Zeros (%)64.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T04:54:46.739425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q35
95-th percentile42.6
Maximum126
Range126
Interquartile range (IQR)5

Descriptive statistics

Standard deviation26.71766
Coefficient of variation (CV)2.7262918
Kurtosis15.953086
Mean9.8
Median Absolute Deviation (MAD)0
Skewness3.8307783
Sum245
Variance713.83333
MonotonicityNot monotonic
2023-12-13T04:54:46.919250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 16
64.0%
5 2
 
8.0%
44 1
 
4.0%
2 1
 
4.0%
15 1
 
4.0%
37 1
 
4.0%
3 1
 
4.0%
8 1
 
4.0%
126 1
 
4.0%
ValueCountFrequency (%)
0 16
64.0%
2 1
 
4.0%
3 1
 
4.0%
5 2
 
8.0%
8 1
 
4.0%
15 1
 
4.0%
37 1
 
4.0%
44 1
 
4.0%
126 1
 
4.0%
ValueCountFrequency (%)
126 1
 
4.0%
44 1
 
4.0%
37 1
 
4.0%
15 1
 
4.0%
8 1
 
4.0%
5 2
 
8.0%
3 1
 
4.0%
2 1
 
4.0%
0 16
64.0%

행정직(정규직)
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)92.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.88
Minimum6
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T04:54:47.057997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile23.8
Q138
median56
Q366
95-th percentile125
Maximum168
Range162
Interquartile range (IQR)28

Descriptive statistics

Standard deviation35.13346
Coefficient of variation (CV)0.57709362
Kurtosis2.8233601
Mean60.88
Median Absolute Deviation (MAD)15
Skewness1.4969252
Sum1522
Variance1234.36
MonotonicityNot monotonic
2023-12-13T04:54:47.247365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
60 2
 
8.0%
52 2
 
8.0%
34 1
 
4.0%
121 1
 
4.0%
37 1
 
4.0%
66 1
 
4.0%
61 1
 
4.0%
90 1
 
4.0%
36 1
 
4.0%
56 1
 
4.0%
Other values (13) 13
52.0%
ValueCountFrequency (%)
6 1
4.0%
22 1
4.0%
31 1
4.0%
34 1
4.0%
36 1
4.0%
37 1
4.0%
38 1
4.0%
42 1
4.0%
44 1
4.0%
49 1
4.0%
ValueCountFrequency (%)
168 1
4.0%
126 1
4.0%
121 1
4.0%
90 1
4.0%
83 1
4.0%
71 1
4.0%
66 1
4.0%
61 1
4.0%
60 2
8.0%
59 1
4.0%

행정직(무기계약직)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)56.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.52
Minimum0
Maximum107
Zeros11
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T04:54:47.450975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q311
95-th percentile22.4
Maximum107
Range107
Interquartile range (IQR)11

Descriptive statistics

Standard deviation21.383639
Coefficient of variation (CV)2.2461805
Kurtosis19.737123
Mean9.52
Median Absolute Deviation (MAD)2
Skewness4.2571478
Sum238
Variance457.26
MonotonicityNot monotonic
2023-12-13T04:54:47.600684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 11
44.0%
5 2
 
8.0%
8 1
 
4.0%
16 1
 
4.0%
13 1
 
4.0%
1 1
 
4.0%
107 1
 
4.0%
10 1
 
4.0%
9 1
 
4.0%
11 1
 
4.0%
Other values (4) 4
 
16.0%
ValueCountFrequency (%)
0 11
44.0%
1 1
 
4.0%
2 1
 
4.0%
5 2
 
8.0%
8 1
 
4.0%
9 1
 
4.0%
10 1
 
4.0%
11 1
 
4.0%
12 1
 
4.0%
13 1
 
4.0%
ValueCountFrequency (%)
107 1
4.0%
24 1
4.0%
16 1
4.0%
15 1
4.0%
13 1
4.0%
12 1
4.0%
11 1
4.0%
10 1
4.0%
9 1
4.0%
8 1
4.0%

기능직(정규직)
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)64.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.28
Minimum0
Maximum282
Zeros9
Zeros (%)36.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T04:54:47.754270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median6
Q357
95-th percentile188.6
Maximum282
Range282
Interquartile range (IQR)57

Descriptive statistics

Standard deviation71.274423
Coefficient of variation (CV)1.5400696
Kurtosis4.5561388
Mean46.28
Median Absolute Deviation (MAD)6
Skewness2.0982557
Sum1157
Variance5080.0433
MonotonicityNot monotonic
2023-12-13T04:54:47.892440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 9
36.0%
1 2
 
8.0%
43 1
 
4.0%
53 1
 
4.0%
282 1
 
4.0%
118 1
 
4.0%
30 1
 
4.0%
123 1
 
4.0%
91 1
 
4.0%
63 1
 
4.0%
Other values (6) 6
24.0%
ValueCountFrequency (%)
0 9
36.0%
1 2
 
8.0%
3 1
 
4.0%
6 1
 
4.0%
25 1
 
4.0%
30 1
 
4.0%
43 1
 
4.0%
53 1
 
4.0%
56 1
 
4.0%
57 1
 
4.0%
ValueCountFrequency (%)
282 1
4.0%
205 1
4.0%
123 1
4.0%
118 1
4.0%
91 1
4.0%
63 1
4.0%
57 1
4.0%
56 1
4.0%
53 1
4.0%
43 1
4.0%

기능직(무기계약직)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.32
Minimum0
Maximum118
Zeros4
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T04:54:48.044076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q344
95-th percentile104.6
Maximum118
Range118
Interquartile range (IQR)41

Descriptive statistics

Standard deviation33.222382
Coefficient of variation (CV)1.1330962
Kurtosis1.7895867
Mean29.32
Median Absolute Deviation (MAD)20
Skewness1.471544
Sum733
Variance1103.7267
MonotonicityNot monotonic
2023-12-13T04:54:48.213278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 4
16.0%
44 2
 
8.0%
8 2
 
8.0%
3 2
 
8.0%
22 2
 
8.0%
79 1
 
4.0%
11 1
 
4.0%
29 1
 
4.0%
2 1
 
4.0%
111 1
 
4.0%
Other values (8) 8
32.0%
ValueCountFrequency (%)
0 4
16.0%
2 1
 
4.0%
3 2
8.0%
5 1
 
4.0%
8 2
8.0%
11 1
 
4.0%
12 1
 
4.0%
22 2
8.0%
27 1
 
4.0%
29 1
 
4.0%
ValueCountFrequency (%)
118 1
4.0%
111 1
4.0%
79 1
4.0%
52 1
4.0%
48 1
4.0%
46 1
4.0%
44 2
8.0%
39 1
4.0%
29 1
4.0%
27 1
4.0%

Interactions

2023-12-13T04:54:43.296809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:38.496093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.291340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.925935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:40.638911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:41.544295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:42.442968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:43.409114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:38.819303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.385382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:40.011477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:40.767327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:41.667087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:42.572794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:43.556399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:38.895536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.465391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:40.112783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:40.922595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:41.810148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:42.711511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:43.718872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:38.969793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.551299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:40.200264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:41.047842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:41.953208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:42.816891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:43.870521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.050139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.657353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:40.302195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:41.188482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:42.085877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:42.927635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:43.988872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.127653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.754100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:40.453015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:41.316262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:42.206069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:43.056246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:44.109348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.203808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:39.839927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:40.543634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:41.433902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:42.322390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:54:43.173427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:54:48.339373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관명연구직(정규직)연구직(무기계약직)기술직(정규직)기술직(무기계약직)행정직(정규직)행정직(무기계약직)기능직(정규직)기능직(무기계약직)
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.000
연구직(정규직)1.0001.0000.5710.4430.0000.8180.5810.7290.704
연구직(무기계약직)1.0000.5711.0000.0000.5330.0000.9760.0470.000
기술직(정규직)1.0000.4430.0001.0000.0000.0000.0000.6410.457
기술직(무기계약직)1.0000.0000.5330.0001.0000.2130.6030.0000.538
행정직(정규직)1.0000.8180.0000.0000.2131.0000.0000.4720.561
행정직(무기계약직)1.0000.5810.9760.0000.6030.0001.0000.0000.000
기능직(정규직)1.0000.7290.0470.6410.0000.4720.0001.0000.354
기능직(무기계약직)1.0000.7040.0000.4570.5380.5610.0000.3541.000
2023-12-13T04:54:48.506804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연구직(정규직)기술직(정규직)기술직(무기계약직)행정직(정규직)행정직(무기계약직)기능직(정규직)기능직(무기계약직)연구직(무기계약직)
연구직(정규직)1.0000.3000.2570.881-0.0750.0290.0510.388
기술직(정규직)0.3001.0000.0710.485-0.4290.2400.5380.000
기술직(무기계약직)0.2570.0711.0000.4330.525-0.158-0.0420.442
행정직(정규직)0.8810.4850.4331.000-0.0070.1350.2140.000
행정직(무기계약직)-0.075-0.4290.525-0.0071.000-0.450-0.3080.790
기능직(정규직)0.0290.240-0.1580.135-0.4501.0000.3310.000
기능직(무기계약직)0.0510.538-0.0420.214-0.3080.3311.0000.000
연구직(무기계약직)0.3880.0000.4420.0000.7900.0000.0001.000

Missing values

2023-12-13T04:54:44.333781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:54:44.573585image/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

기관명연구직(정규직)연구직(무기계약직)기술직(정규직)기술직(무기계약직)행정직(정규직)행정직(무기계약직)기능직(정규직)기능직(무기계약직)
0한국과학기술연구원5990744412654379
1녹색기술센터430006803
2한국기초과학지원연구원16407504905648
3국가핵융합연구소176011255216052
4한국천문연구원1750823813144
5한국생명공학연구원249099052020546
6한국과학기술정보연구원3110970581144
7한국한의학연구원1520890310639
8한국생산기술연구원86181008310700
9한국전자통신연구원18690125016800118
기관명연구직(정규직)연구직(무기계약직)기술직(정규직)기술직(무기계약직)행정직(정규직)행정직(무기계약직)기능직(정규직)기능직(무기계약직)
15세계김치연구소71000221000
16한국지질자원연구원3310851571938
17한국기계연구원364029375611022
18재료연구소239024036155327
19한국항공우주연구원7280963900918
20한국에너지기술연구원33801448611200
21한국전기연구원27001090600123111
22한국화학연구원355871266624302
23안전성평가연구소1781703721183
24한국원자력연구원111901580121028229