Overview

Dataset statistics

Number of variables20
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.7 KiB
Average record size in memory181.7 B

Variable types

Text1
Numeric19

Dataset

Description한국산업안전보건공단에서 제공하는 산업안전에 대한 통계자료로 연도별, 노동관서별 사업장수에 관한 현황분석데이터입니다.
URLhttps://www.data.go.kr/data/15064460/fileData.do

Alerts

2004년 사업장수 is highly overall correlated with 2005년 사업장수 and 17 other fieldsHigh correlation
2005년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2006년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2007년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2008년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2009년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2010년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2011년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2012년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2013년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2014년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2015년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2016년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2017년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2018년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2019년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2020년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2021년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
2022년 사업장수 is highly overall correlated with 2004년 사업장수 and 17 other fieldsHigh correlation
구분 has unique valuesUnique
2006년 사업장수 has unique valuesUnique
2007년 사업장수 has unique valuesUnique
2008년 사업장수 has unique valuesUnique
2009년 사업장수 has unique valuesUnique
2010년 사업장수 has unique valuesUnique
2011년 사업장수 has unique valuesUnique
2012년 사업장수 has unique valuesUnique
2013년 사업장수 has unique valuesUnique
2014년 사업장수 has unique valuesUnique
2015년 사업장수 has unique valuesUnique
2016년 사업장수 has unique valuesUnique
2017년 사업장수 has unique valuesUnique
2018년 사업장수 has unique valuesUnique
2019년 사업장수 has unique valuesUnique
2020년 사업장수 has unique valuesUnique
2021년 사업장수 has unique valuesUnique
2022년 사업장수 has unique valuesUnique
2004년 사업장수 has 3 (6.1%) zerosZeros
2005년 사업장수 has 2 (4.1%) zerosZeros
2006년 사업장수 has 1 (2.0%) zerosZeros
2007년 사업장수 has 1 (2.0%) zerosZeros
2008년 사업장수 has 1 (2.0%) zerosZeros
2009년 사업장수 has 1 (2.0%) zerosZeros
2010년 사업장수 has 1 (2.0%) zerosZeros
2011년 사업장수 has 1 (2.0%) zerosZeros
2012년 사업장수 has 1 (2.0%) zerosZeros
2013년 사업장수 has 1 (2.0%) zerosZeros
2014년 사업장수 has 1 (2.0%) zerosZeros
2015년 사업장수 has 1 (2.0%) zerosZeros
2016년 사업장수 has 1 (2.0%) zerosZeros
2017년 사업장수 has 1 (2.0%) zerosZeros
2018년 사업장수 has 1 (2.0%) zerosZeros

Reproduction

Analysis started2023-12-12 09:43:43.354679
Analysis finished2023-12-12 09:44:25.016702
Duration41.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T18:44:25.162976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.4489796
Min length4

Characters and Unicode

Total characters267
Distinct characters51
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

Unique49 ?
Unique (%)100.0%

Sample

1st row서 울 청
2nd row서울강남
3rd row서울동부
4th row서울서부
5th row서울남부
ValueCountFrequency (%)
8
 
8.4%
7
 
7.4%
7
 
7.4%
4
 
4.2%
4
 
4.2%
3
 
3.2%
3
 
3.2%
3
 
3.2%
2
 
2.1%
2
 
2.1%
Other values (46) 52
54.7%
2023-12-12T18:44:25.544027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
142
53.2%
14
 
5.2%
10
 
3.7%
9
 
3.4%
8
 
3.0%
8
 
3.0%
7
 
2.6%
4
 
1.5%
3
 
1.1%
3
 
1.1%
Other values (41) 59
22.1%

Most occurring categories

ValueCountFrequency (%)
Space Separator 142
53.2%
Other Letter 125
46.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
14
 
11.2%
10
 
8.0%
9
 
7.2%
8
 
6.4%
8
 
6.4%
7
 
5.6%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (40) 56
44.8%
Space Separator
ValueCountFrequency (%)
142
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 142
53.2%
Hangul 125
46.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
11.2%
10
 
8.0%
9
 
7.2%
8
 
6.4%
8
 
6.4%
7
 
5.6%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (40) 56
44.8%
Common
ValueCountFrequency (%)
142
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 142
53.2%
Hangul 125
46.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
142
100.0%
Hangul
ValueCountFrequency (%)
14
 
11.2%
10
 
8.0%
9
 
7.2%
8
 
6.4%
8
 
6.4%
7
 
5.6%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (40) 56
44.8%

2004년 사업장수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct47
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21208.327
Minimum0
Maximum72032
Zeros3
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:25.754047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1488.8
Q110047
median18641
Q331517
95-th percentile48207
Maximum72032
Range72032
Interquartile range (IQR)21470

Descriptive statistics

Standard deviation15227.811
Coefficient of variation (CV)0.71801096
Kurtosis1.3823287
Mean21208.327
Median Absolute Deviation (MAD)9637
Skewness1.0348283
Sum1039208
Variance2.3188622 × 108
MonotonicityNot monotonic
2023-12-12T18:44:25.952777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 3
 
6.1%
54244 1
 
2.0%
72032 1
 
2.0%
6009 1
 
2.0%
27647 1
 
2.0%
23506 1
 
2.0%
49221 1
 
2.0%
22848 1
 
2.0%
22020 1
 
2.0%
26472 1
 
2.0%
Other values (37) 37
75.5%
ValueCountFrequency (%)
0 3
6.1%
3722 1
 
2.0%
4073 1
 
2.0%
5729 1
 
2.0%
6009 1
 
2.0%
7071 1
 
2.0%
7391 1
 
2.0%
8026 1
 
2.0%
9004 1
 
2.0%
10043 1
 
2.0%
ValueCountFrequency (%)
72032 1
2.0%
54244 1
2.0%
49221 1
2.0%
46686 1
2.0%
39935 1
2.0%
37064 1
2.0%
36358 1
2.0%
36266 1
2.0%
35009 1
2.0%
34527 1
2.0%

2005년 사업장수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23063.143
Minimum0
Maximum78291
Zeros2
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:26.110116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3869.6
Q111337
median19857
Q332825
95-th percentile48760
Maximum78291
Range78291
Interquartile range (IQR)21488

Descriptive statistics

Standard deviation15524.349
Coefficient of variation (CV)0.67312376
Kurtosis1.9769494
Mean23063.143
Median Absolute Deviation (MAD)9940
Skewness1.0869099
Sum1130094
Variance2.4100542 × 108
MonotonicityNot monotonic
2023-12-12T18:44:26.257303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 2
 
4.1%
53072 1
 
2.0%
7320 1
 
2.0%
31333 1
 
2.0%
25263 1
 
2.0%
39599 1
 
2.0%
24718 1
 
2.0%
25168 1
 
2.0%
28315 1
 
2.0%
37922 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
0 2
4.1%
3720 1
2.0%
4094 1
2.0%
6845 1
2.0%
7320 1
2.0%
7387 1
2.0%
8096 1
2.0%
8722 1
2.0%
10236 1
2.0%
10437 1
2.0%
ValueCountFrequency (%)
78291 1
2.0%
53072 1
2.0%
52374 1
2.0%
43339 1
2.0%
40523 1
2.0%
40287 1
2.0%
39599 1
2.0%
37922 1
2.0%
36704 1
2.0%
36601 1
2.0%

2006년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26381.551
Minimum0
Maximum87407
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:26.460650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6263
Q115184
median23591
Q336735
95-th percentile48932.6
Maximum87407
Range87407
Interquartile range (IQR)21551

Descriptive statistics

Standard deviation16066.231
Coefficient of variation (CV)0.60899493
Kurtosis2.8693724
Mean26381.551
Median Absolute Deviation (MAD)10552
Skewness1.134534
Sum1292696
Variance2.5812378 × 108
MonotonicityNot monotonic
2023-12-12T18:44:26.631119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
54260 1
 
2.0%
23325 1
 
2.0%
37290 1
 
2.0%
29698 1
 
2.0%
44172 1
 
2.0%
29605 1
 
2.0%
31676 1
 
2.0%
34126 1
 
2.0%
45641 1
 
2.0%
20303 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
3730 1
2.0%
5425 1
2.0%
7520 1
2.0%
7749 1
2.0%
9065 1
2.0%
9093 1
2.0%
10079 1
2.0%
10152 1
2.0%
11505 1
2.0%
ValueCountFrequency (%)
87407 1
2.0%
54260 1
2.0%
51127 1
2.0%
45641 1
2.0%
44651 1
2.0%
44172 1
2.0%
42463 1
2.0%
41794 1
2.0%
40847 1
2.0%
38833 1
2.0%

2007년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29181.327
Minimum0
Maximum95096
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:26.779727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6187
Q116540
median27636
Q339313
95-th percentile52073.2
Maximum95096
Range95096
Interquartile range (IQR)22773

Descriptive statistics

Standard deviation17427.357
Coefficient of variation (CV)0.59720921
Kurtosis2.7859005
Mean29181.327
Median Absolute Deviation (MAD)11646
Skewness1.0910706
Sum1429885
Variance3.0371277 × 108
MonotonicityNot monotonic
2023-12-12T18:44:26.974354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
95096 1
 
2.0%
27636 1
 
2.0%
39187 1
 
2.0%
31317 1
 
2.0%
52894 1
 
2.0%
32958 1
 
2.0%
33892 1
 
2.0%
39282 1
 
2.0%
50842 1
 
2.0%
20791 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
4780 1
2.0%
5043 1
2.0%
7903 1
2.0%
8655 1
2.0%
9533 1
2.0%
10366 1
2.0%
11719 1
2.0%
11953 1
2.0%
13951 1
2.0%
ValueCountFrequency (%)
95096 1
2.0%
58856 1
2.0%
52894 1
2.0%
50842 1
2.0%
50598 1
2.0%
48476 1
2.0%
46331 1
2.0%
46079 1
2.0%
45299 1
2.0%
45250 1
2.0%

2008년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32546.796
Minimum0
Maximum106740
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:27.141888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7698.6
Q118260
median29701
Q347023
95-th percentile60182.2
Maximum106740
Range106740
Interquartile range (IQR)28763

Descriptive statistics

Standard deviation19669.163
Coefficient of variation (CV)0.60433484
Kurtosis2.7464488
Mean32546.796
Median Absolute Deviation (MAD)12210
Skewness1.1380702
Sum1594793
Variance3.8687596 × 108
MonotonicityNot monotonic
2023-12-12T18:44:27.316622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
106740 1
 
2.0%
31454 1
 
2.0%
44285 1
 
2.0%
35015 1
 
2.0%
61447 1
 
2.0%
34421 1
 
2.0%
38289 1
 
2.0%
41676 1
 
2.0%
57632 1
 
2.0%
20217 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
4828 1
2.0%
6493 1
2.0%
9507 1
2.0%
10112 1
2.0%
10696 1
2.0%
12269 1
2.0%
13845 1
2.0%
14087 1
2.0%
16467 1
2.0%
ValueCountFrequency (%)
106740 1
2.0%
66413 1
2.0%
61447 1
2.0%
58285 1
2.0%
57632 1
2.0%
55024 1
2.0%
52288 1
2.0%
50495 1
2.0%
50031 1
2.0%
50003 1
2.0%

2009년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31856.102
Minimum0
Maximum95991
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:27.479259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7468.8
Q117150
median31797
Q346179
95-th percentile61437.2
Maximum95991
Range95991
Interquartile range (IQR)29029

Descriptive statistics

Standard deviation18788.883
Coefficient of variation (CV)0.58980485
Kurtosis1.4294696
Mean31856.102
Median Absolute Deviation (MAD)14526
Skewness0.84602485
Sum1560949
Variance3.5302214 × 108
MonotonicityNot monotonic
2023-12-12T18:44:27.665447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
95991 1
 
2.0%
33744 1
 
2.0%
43274 1
 
2.0%
36277 1
 
2.0%
67163 1
 
2.0%
35141 1
 
2.0%
33984 1
 
2.0%
41750 1
 
2.0%
64534 1
 
2.0%
22437 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
5159 1
2.0%
5976 1
2.0%
9708 1
2.0%
10046 1
2.0%
10435 1
2.0%
10901 1
2.0%
11086 1
2.0%
12030 1
2.0%
15839 1
2.0%
ValueCountFrequency (%)
95991 1
2.0%
67163 1
2.0%
64534 1
2.0%
56792 1
2.0%
53264 1
2.0%
50737 1
2.0%
50363 1
2.0%
50183 1
2.0%
48538 1
2.0%
48427 1
2.0%

2010년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32823.694
Minimum0
Maximum98634
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:27.881238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7594.2
Q118110
median32150
Q348077
95-th percentile58736
Maximum98634
Range98634
Interquartile range (IQR)29967

Descriptive statistics

Standard deviation19270.286
Coefficient of variation (CV)0.58708463
Kurtosis1.3943231
Mean32823.694
Median Absolute Deviation (MAD)15208
Skewness0.81483082
Sum1608361
Variance3.7134393 × 108
MonotonicityNot monotonic
2023-12-12T18:44:28.082415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
98634 1
 
2.0%
33780 1
 
2.0%
44684 1
 
2.0%
37879 1
 
2.0%
70822 1
 
2.0%
36233 1
 
2.0%
35497 1
 
2.0%
43886 1
 
2.0%
56348 1
 
2.0%
22679 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
4439 1
2.0%
5985 1
2.0%
10008 1
2.0%
10190 1
2.0%
10986 1
2.0%
11328 1
2.0%
13033 1
2.0%
13425 1
2.0%
15653 1
2.0%
ValueCountFrequency (%)
98634 1
2.0%
70822 1
2.0%
60328 1
2.0%
56348 1
2.0%
54411 1
2.0%
54020 1
2.0%
53588 1
2.0%
51755 1
2.0%
50001 1
2.0%
48682 1
2.0%

2011년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35473.388
Minimum0
Maximum104456
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:28.263983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8518
Q120647
median34153
Q350985
95-th percentile63196.6
Maximum104456
Range104456
Interquartile range (IQR)30338

Descriptive statistics

Standard deviation20556.588
Coefficient of variation (CV)0.57949323
Kurtosis1.2245631
Mean35473.388
Median Absolute Deviation (MAD)15333
Skewness0.76675315
Sum1738196
Variance4.2257331 × 108
MonotonicityNot monotonic
2023-12-12T18:44:28.451724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
104456 1
 
2.0%
38291 1
 
2.0%
47486 1
 
2.0%
42202 1
 
2.0%
76816 1
 
2.0%
39629 1
 
2.0%
38882 1
 
2.0%
49075 1
 
2.0%
62599 1
 
2.0%
25683 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
4353 1
2.0%
6848 1
2.0%
11023 1
2.0%
11334 1
2.0%
11858 1
2.0%
12577 1
2.0%
14797 1
2.0%
14842 1
2.0%
16427 1
2.0%
ValueCountFrequency (%)
104456 1
2.0%
76816 1
2.0%
63595 1
2.0%
62599 1
2.0%
58193 1
2.0%
57051 1
2.0%
56883 1
2.0%
55190 1
2.0%
54725 1
2.0%
53049 1
2.0%

2012년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37250.939
Minimum0
Maximum108233
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:28.621403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7179.8
Q120607
median36778
Q351975
95-th percentile67334.8
Maximum108233
Range108233
Interquartile range (IQR)31368

Descriptive statistics

Standard deviation21877.847
Coefficient of variation (CV)0.58730994
Kurtosis1.0504682
Mean37250.939
Median Absolute Deviation (MAD)16171
Skewness0.74451379
Sum1825296
Variance4.7864018 × 108
MonotonicityNot monotonic
2023-12-12T18:44:28.787473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
108233 1
 
2.0%
40603 1
 
2.0%
48900 1
 
2.0%
42778 1
 
2.0%
85940 1
 
2.0%
43257 1
 
2.0%
41273 1
 
2.0%
51430 1
 
2.0%
68244 1
 
2.0%
27846 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
4247 1
2.0%
5021 1
2.0%
10418 1
2.0%
12922 1
2.0%
13444 1
2.0%
13532 1
2.0%
14383 1
2.0%
14788 1
2.0%
16503 1
2.0%
ValueCountFrequency (%)
108233 1
2.0%
85940 1
2.0%
68244 1
2.0%
65971 1
2.0%
62384 1
2.0%
61223 1
2.0%
59955 1
2.0%
56107 1
2.0%
56101 1
2.0%
55061 1
2.0%

2013년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40348.102
Minimum0
Maximum116903
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:28.976178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8439.4
Q121750
median41062
Q356417
95-th percentile73426.4
Maximum116903
Range116903
Interquartile range (IQR)34667

Descriptive statistics

Standard deviation23807.554
Coefficient of variation (CV)0.59005386
Kurtosis1.0069704
Mean40348.102
Median Absolute Deviation (MAD)18115
Skewness0.74467495
Sum1977057
Variance5.6679961 × 108
MonotonicityNot monotonic
2023-12-12T18:44:29.149067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
116903 1
 
2.0%
42105 1
 
2.0%
54112 1
 
2.0%
44165 1
 
2.0%
94711 1
 
2.0%
46532 1
 
2.0%
45618 1
 
2.0%
56417 1
 
2.0%
74860 1
 
2.0%
31201 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
5118 1
2.0%
6265 1
2.0%
11701 1
2.0%
12588 1
2.0%
14314 1
2.0%
14465 1
2.0%
14602 1
2.0%
15559 1
2.0%
17670 1
2.0%
ValueCountFrequency (%)
116903 1
2.0%
94711 1
2.0%
74860 1
2.0%
71276 1
2.0%
67274 1
2.0%
66298 1
2.0%
64494 1
2.0%
61898 1
2.0%
59347 1
2.0%
59210 1
2.0%

2014년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44640.633
Minimum0
Maximum118056
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:29.332886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9332.8
Q125315
median45193
Q360588
95-th percentile80977.2
Maximum118056
Range118056
Interquartile range (IQR)35273

Descriptive statistics

Standard deviation25596.105
Coefficient of variation (CV)0.57338133
Kurtosis0.32801867
Mean44640.633
Median Absolute Deviation (MAD)18333
Skewness0.55803928
Sum2187391
Variance6.5516061 × 108
MonotonicityNot monotonic
2023-12-12T18:44:29.496835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
118056 1
 
2.0%
47773 1
 
2.0%
58064 1
 
2.0%
47471 1
 
2.0%
105269 1
 
2.0%
49786 1
 
2.0%
51611 1
 
2.0%
58907 1
 
2.0%
82620 1
 
2.0%
36311 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
4962 1
2.0%
6932 1
2.0%
12934 1
2.0%
13098 1
2.0%
15645 1
2.0%
15831 1
2.0%
17117 1
2.0%
17596 1
2.0%
20039 1
2.0%
ValueCountFrequency (%)
118056 1
2.0%
105269 1
2.0%
82620 1
2.0%
78513 1
2.0%
75363 1
2.0%
72740 1
2.0%
72511 1
2.0%
72321 1
2.0%
70879 1
2.0%
66459 1
2.0%

2015년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48309.918
Minimum0
Maximum122973
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:30.020704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9657.2
Q127422
median49736
Q365484
95-th percentile90944.2
Maximum122973
Range122973
Interquartile range (IQR)38062

Descriptive statistics

Standard deviation27447.534
Coefficient of variation (CV)0.56815526
Kurtosis0.31685711
Mean48309.918
Median Absolute Deviation (MAD)18131
Skewness0.53990507
Sum2367186
Variance7.5336713 × 108
MonotonicityNot monotonic
2023-12-12T18:44:30.201709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
122973 1
 
2.0%
51699 1
 
2.0%
61764 1
 
2.0%
52605 1
 
2.0%
117867 1
 
2.0%
55103 1
 
2.0%
56535 1
 
2.0%
66400 1
 
2.0%
89368 1
 
2.0%
42189 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
5983 1
2.0%
7144 1
2.0%
13427 1
2.0%
14403 1
2.0%
16454 1
2.0%
17038 1
2.0%
18215 1
2.0%
19833 1
2.0%
20609 1
2.0%
ValueCountFrequency (%)
122973 1
2.0%
117867 1
2.0%
91995 1
2.0%
89368 1
2.0%
81263 1
2.0%
77130 1
2.0%
75246 1
2.0%
74122 1
2.0%
73760 1
2.0%
67082 1
2.0%

2016년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50147.449
Minimum0
Maximum129863
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:30.379118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11075.4
Q128916
median50876
Q365294
95-th percentile92939.8
Maximum129863
Range129863
Interquartile range (IQR)36378

Descriptive statistics

Standard deviation28400.826
Coefficient of variation (CV)0.56634637
Kurtosis0.48520156
Mean50147.449
Median Absolute Deviation (MAD)19462
Skewness0.57623025
Sum2457225
Variance8.0660689 × 108
MonotonicityNot monotonic
2023-12-12T18:44:30.544555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
129863 1
 
2.0%
54328 1
 
2.0%
63831 1
 
2.0%
56062 1
 
2.0%
122694 1
 
2.0%
59288 1
 
2.0%
60345 1
 
2.0%
65294 1
 
2.0%
95217 1
 
2.0%
42341 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
5462 1
2.0%
7619 1
2.0%
16260 1
2.0%
17061 1
2.0%
17239 1
2.0%
17504 1
2.0%
18519 1
2.0%
18942 1
2.0%
21692 1
2.0%
ValueCountFrequency (%)
129863 1
2.0%
122694 1
2.0%
95217 1
2.0%
89524 1
2.0%
83354 1
2.0%
81980 1
2.0%
77738 1
2.0%
77663 1
2.0%
74704 1
2.0%
70338 1
2.0%

2017년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51170.694
Minimum0
Maximum123490
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:30.719658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12550
Q131942
median50968
Q366272
95-th percentile96332.2
Maximum123490
Range123490
Interquartile range (IQR)34330

Descriptive statistics

Standard deviation27920.86
Coefficient of variation (CV)0.54564162
Kurtosis0.25344015
Mean51170.694
Median Absolute Deviation (MAD)17561
Skewness0.49663647
Sum2507364
Variance7.7957443 × 108
MonotonicityNot monotonic
2023-12-12T18:44:30.868470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
123490 1
 
2.0%
55001 1
 
2.0%
65910 1
 
2.0%
54237 1
 
2.0%
122558 1
 
2.0%
58919 1
 
2.0%
57153 1
 
2.0%
66272 1
 
2.0%
99573 1
 
2.0%
47010 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
6081 1
2.0%
9236 1
2.0%
17521 1
2.0%
17688 1
2.0%
18020 1
2.0%
18474 1
2.0%
19654 1
2.0%
20223 1
2.0%
22684 1
2.0%
ValueCountFrequency (%)
123490 1
2.0%
122558 1
2.0%
99573 1
2.0%
91471 1
2.0%
87087 1
2.0%
81575 1
2.0%
80693 1
2.0%
77208 1
2.0%
75384 1
2.0%
72129 1
2.0%

2018년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54165.449
Minimum0
Maximum127681
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:31.041484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12155.6
Q131947
median55802
Q369024
95-th percentile103687.8
Maximum127681
Range127681
Interquartile range (IQR)37077

Descriptive statistics

Standard deviation29458.939
Coefficient of variation (CV)0.54386956
Kurtosis0.067152099
Mean54165.449
Median Absolute Deviation (MAD)17670
Skewness0.4440111
Sum2654107
Variance8.6782908 × 108
MonotonicityNot monotonic
2023-12-12T18:44:31.211725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
126772 1
 
2.0%
60782 1
 
2.0%
68170 1
 
2.0%
58065 1
 
2.0%
127681 1
 
2.0%
61278 1
 
2.0%
58810 1
 
2.0%
67645 1
 
2.0%
105285 1
 
2.0%
48382 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
5889 1
2.0%
8408 1
2.0%
17777 1
2.0%
19793 1
2.0%
20191 1
2.0%
21029 1
2.0%
21240 1
2.0%
22901 1
2.0%
23548 1
2.0%
ValueCountFrequency (%)
127681 1
2.0%
126772 1
2.0%
105285 1
2.0%
101292 1
2.0%
94967 1
2.0%
85059 1
2.0%
84964 1
2.0%
84060 1
2.0%
82569 1
2.0%
71757 1
2.0%

2019년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54711.714
Minimum7225
Maximum140106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:31.389501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7225
5-th percentile15160.6
Q129707
median55620
Q370027
95-th percentile105340.2
Maximum140106
Range132881
Interquartile range (IQR)40320

Descriptive statistics

Standard deviation30104.191
Coefficient of variation (CV)0.55023301
Kurtosis0.34790087
Mean54711.714
Median Absolute Deviation (MAD)18014
Skewness0.62877246
Sum2680874
Variance9.0626232 × 108
MonotonicityNot monotonic
2023-12-12T18:44:31.588781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
126073 1
 
2.0%
67912 1
 
2.0%
68828 1
 
2.0%
58350 1
 
2.0%
140106 1
 
2.0%
64108 1
 
2.0%
58557 1
 
2.0%
70027 1
 
2.0%
109349 1
 
2.0%
46018 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
7225 1
2.0%
9262 1
2.0%
13113 1
2.0%
18232 1
2.0%
18765 1
2.0%
20221 1
2.0%
20525 1
2.0%
20545 1
2.0%
20706 1
2.0%
22186 1
2.0%
ValueCountFrequency (%)
140106 1
2.0%
126073 1
2.0%
109349 1
2.0%
99327 1
2.0%
92661 1
2.0%
90721 1
2.0%
87092 1
2.0%
84687 1
2.0%
80061 1
2.0%
73634 1
2.0%

2020년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55496.082
Minimum6407
Maximum149750
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:31.768344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6407
5-th percentile13550.8
Q131398
median54372
Q373007
95-th percentile108936.6
Maximum149750
Range143343
Interquartile range (IQR)41609

Descriptive statistics

Standard deviation31517.933
Coefficient of variation (CV)0.56793079
Kurtosis0.54474844
Mean55496.082
Median Absolute Deviation (MAD)21037
Skewness0.6635159
Sum2719308
Variance9.9338012 × 108
MonotonicityNot monotonic
2023-12-12T18:44:31.951896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
126211 1
 
2.0%
62046 1
 
2.0%
73007 1
 
2.0%
60976 1
 
2.0%
149750 1
 
2.0%
69393 1
 
2.0%
58709 1
 
2.0%
73121 1
 
2.0%
112571 1
 
2.0%
49576 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
6407 1
2.0%
7350 1
2.0%
11728 1
2.0%
16285 1
2.0%
17383 1
2.0%
18040 1
2.0%
19110 1
2.0%
20358 1
2.0%
20811 1
2.0%
21699 1
2.0%
ValueCountFrequency (%)
149750 1
2.0%
126211 1
2.0%
112571 1
2.0%
103485 1
2.0%
93080 1
2.0%
91691 1
2.0%
88699 1
2.0%
84235 1
2.0%
81008 1
2.0%
77844 1
2.0%

2021년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58706.837
Minimum6637
Maximum162014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:32.172284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6637
5-th percentile15346.6
Q130964
median56380
Q374962
95-th percentile123257.4
Maximum162014
Range155377
Interquartile range (IQR)43998

Descriptive statistics

Standard deviation33664.248
Coefficient of variation (CV)0.57342978
Kurtosis0.7754821
Mean58706.837
Median Absolute Deviation (MAD)20088
Skewness0.76747767
Sum2876635
Variance1.1332816 × 109
MonotonicityNot monotonic
2023-12-12T18:44:32.353859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
126755 1
 
2.0%
63047 1
 
2.0%
76428 1
 
2.0%
65544 1
 
2.0%
162014 1
 
2.0%
69827 1
 
2.0%
62299 1
 
2.0%
73833 1
 
2.0%
118011 1
 
2.0%
53217 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
6637 1
2.0%
7341 1
2.0%
13177 1
2.0%
18601 1
2.0%
19547 1
2.0%
19600 1
2.0%
20379 1
2.0%
21605 1
2.0%
22962 1
2.0%
23917 1
2.0%
ValueCountFrequency (%)
162014 1
2.0%
128098 1
2.0%
126755 1
2.0%
118011 1
2.0%
101314 1
2.0%
98786 1
2.0%
92500 1
2.0%
87082 1
2.0%
85247 1
2.0%
79329 1
2.0%

2022년 사업장수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60735.224
Minimum6988
Maximum170725
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T18:44:32.556560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6988
5-th percentile16368.6
Q131755
median59243
Q378645
95-th percentile122934
Maximum170725
Range163737
Interquartile range (IQR)46890

Descriptive statistics

Standard deviation34396.087
Coefficient of variation (CV)0.56632848
Kurtosis0.94991475
Mean60735.224
Median Absolute Deviation (MAD)22143
Skewness0.78093736
Sum2976026
Variance1.1830908 × 109
MonotonicityNot monotonic
2023-12-12T18:44:32.706089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
127290 1
 
2.0%
64454 1
 
2.0%
81269 1
 
2.0%
65126 1
 
2.0%
170725 1
 
2.0%
72100 1
 
2.0%
66900 1
 
2.0%
75997 1
 
2.0%
127573 1
 
2.0%
57614 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
6988 1
2.0%
10534 1
2.0%
14485 1
2.0%
19194 1
2.0%
20055 1
2.0%
20276 1
2.0%
20283 1
2.0%
22261 1
2.0%
22539 1
2.0%
27764 1
2.0%
ValueCountFrequency (%)
170725 1
2.0%
127573 1
2.0%
127290 1
2.0%
116400 1
2.0%
104868 1
2.0%
104525 1
2.0%
95628 1
2.0%
88580 1
2.0%
87631 1
2.0%
82658 1
2.0%

Interactions

2023-12-12T18:44:22.292789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:44.159327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:46.127638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:48.264858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:50.368264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:52.232950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:54.263158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:56.247710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.310452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:00.096142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:02.014857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:04.409599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.387446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:08.345685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:10.656713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.279048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:14.554089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:16.930901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:19.868574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:22.399517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:44.289792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:46.245787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:48.394609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:50.450057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:52.332531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:54.359975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:56.343253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.397342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:00.192121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:02.125881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:04.513974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.483976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:08.459246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:10.743056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.365885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:14.740192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:17.070038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:19.993306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:22.513296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:44.410349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:46.345518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:48.522455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:50.539400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:52.449619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:54.468496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:56.447568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.517018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:00.299654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:02.249784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:04.646680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.584456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:08.582407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:10.827451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.462322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:14.894391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:17.208517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:20.136527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:22.602599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:44.511207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:46.437890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:48.627381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:50.614361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:52.538128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:54.551583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:56.536353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.605353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:00.397516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:02.381441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:04.782369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.670488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:08.707977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:10.902780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.533300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:15.004064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:17.716305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:20.254318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:22.696172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:44.608213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:46.526637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:48.734957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:50.686597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:52.642810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:54.686328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:56.613019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.710388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:00.487837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:02.490522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:04.917709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.754975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:08.813924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:10.980324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.603929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:15.119730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:17.839676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:20.376858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:22.801020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:44.714620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:46.642704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:48.819389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:50.762424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:52.739477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:54.777632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:56.700818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.808657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:00.591754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:02.602321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:05.032585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.850750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:08.926272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.059535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.678323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:15.246907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:17.972203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:20.568639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:22.919370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:44.801514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:46.787230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:48.942197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:50.838422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:52.853929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:54.880356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:56.788344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.898582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:00.676415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:02.708866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:05.157850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.948824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:09.015010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.140147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.758275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:15.354010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:18.104270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:20.708253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:23.021710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:44.900549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:46.899624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.046753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:50.967237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:52.957276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:54.981685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:56.881891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.978056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:00.765749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:02.801889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:05.260074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:07.063134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:09.124871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.212781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.845803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:15.476547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:18.230569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:20.838520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:23.113779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:44.988693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:47.017199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.136590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:51.062919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:53.051843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:55.074740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:57.257775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.067259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:00.879663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:02.898899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:05.361459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:07.191388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:09.251467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.290330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.938897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:15.600008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:18.342822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:20.960195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:23.219717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:45.076291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:47.145965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.220225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:51.141458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:53.143588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:55.156530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:57.347080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.154938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:00.979582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:02.986496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:05.450513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:07.311307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:09.359539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.368226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:13.020850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:15.713504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:18.461902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:21.073359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:23.324713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:45.174011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:47.258006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.304141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:51.240292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:53.248473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:55.273079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:57.435838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.241801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:01.083435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:03.093181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:05.537840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:07.411248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:09.459188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.439693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:13.109305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:15.820208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:18.598218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:21.218793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:23.417306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:45.286577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:47.354559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.383733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:51.343711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:53.363556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:55.385801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:57.513059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.325598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:01.175255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:03.209435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:05.631478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:07.500504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:09.559864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.513189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:13.227928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:15.926728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:18.741289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:21.340050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:23.544853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:45.383990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:47.463975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.463801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:51.452234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:53.477212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:55.496774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:57.602194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.416671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:01.295954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:03.340842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:05.715938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:07.593830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:09.661006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.595908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:13.364258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:16.043896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:18.875737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:21.479315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:23.708298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:45.483144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:47.571532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.562895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:51.577237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:53.566088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:55.588177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:57.749209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.505746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:01.395572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:03.766042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:05.808337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:07.696031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:09.761966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.672952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:13.489957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:16.164428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:19.057403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:21.613028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:23.832645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:45.601886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:47.688836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.649734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:51.692720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:53.680154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:55.676816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:57.864866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.603645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:01.499233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:03.864479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:05.913895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:07.790257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:09.857814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.771459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:13.622415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:16.291868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:19.204362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:21.744520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:23.927733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:45.711280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:47.820258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.747017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:51.820646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:53.785252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:55.795660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:57.958879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.685540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:01.596099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:03.972146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.002759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:07.900900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:09.953486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.851068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:13.797653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:16.426290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:19.342791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:21.849519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:24.027548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:45.814329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:47.936377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.842338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:51.910172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:53.896581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:55.916443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.049756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.770263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:01.687135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:04.084196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.087730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:08.008376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:10.368995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:11.989053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:13.974958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:16.556282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:19.464390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:21.966821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:24.145040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:45.913559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:48.045134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:49.937525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:52.011057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:54.021249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:56.036153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.135873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.878248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:01.789072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:04.195466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.195134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:08.136396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:10.462072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.088647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:14.187725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:16.687583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:19.601515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:22.070813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:24.243851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:46.021382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:48.160382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:50.290969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:52.126478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:54.156291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:56.151480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:58.222051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:43:59.984374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:01.895745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:04.309394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:06.293274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:08.246313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:10.565602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:12.187503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:14.367663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:16.815480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:19.723220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:44:22.177793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:44:32.835888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분2004년 사업장수2005년 사업장수2006년 사업장수2007년 사업장수2008년 사업장수2009년 사업장수2010년 사업장수2011년 사업장수2012년 사업장수2013년 사업장수2014년 사업장수2015년 사업장수2016년 사업장수2017년 사업장수2018년 사업장수2019년 사업장수2020년 사업장수2021년 사업장수2022년 사업장수
구분1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2004년 사업장수1.0001.0000.9350.9230.9130.9210.8300.9650.9610.9530.9480.9500.9010.9070.7770.7430.8450.8330.9030.905
2005년 사업장수1.0000.9351.0000.9870.9820.9790.8940.8640.8580.8120.7980.7720.7160.6980.7460.7210.7670.7560.7010.678
2006년 사업장수1.0000.9230.9871.0000.9990.9970.9620.9250.9100.8910.8770.8720.7900.8010.8270.8160.8580.8630.7810.771
2007년 사업장수1.0000.9130.9820.9991.0000.9980.9700.9340.9170.8970.8850.8800.8240.8220.8300.8170.8720.8640.7860.792
2008년 사업장수1.0000.9210.9790.9970.9981.0000.9740.9260.9220.9120.9010.8960.8170.8180.8300.8200.8700.8560.7710.780
2009년 사업장수1.0000.8300.8940.9620.9700.9741.0000.9460.9330.9290.9420.9390.9020.9110.9140.8990.9060.8850.8040.847
2010년 사업장수1.0000.9650.8640.9250.9340.9260.9461.0000.9990.9910.9940.9880.9680.9650.8850.8910.9230.9010.9530.962
2011년 사업장수1.0000.9610.8580.9100.9170.9220.9330.9991.0000.9940.9960.9860.9670.9620.8790.8920.9290.8920.9460.955
2012년 사업장수1.0000.9530.8120.8910.8970.9120.9290.9910.9941.0001.0000.9790.9590.9630.8930.9070.9420.9210.9570.964
2013년 사업장수1.0000.9480.7980.8770.8850.9010.9420.9940.9961.0001.0000.9840.9680.9710.9090.9210.9360.9170.9530.962
2014년 사업장수1.0000.9500.7720.8720.8800.8960.9390.9880.9860.9790.9841.0000.9820.9850.9110.8960.9070.8920.9400.945
2015년 사업장수1.0000.9010.7160.7900.8240.8170.9020.9680.9670.9590.9680.9821.0000.9930.9430.9380.8870.8850.9550.941
2016년 사업장수1.0000.9070.6980.8010.8220.8180.9110.9650.9620.9630.9710.9850.9931.0000.9530.9500.9090.9000.9290.946
2017년 사업장수1.0000.7770.7460.8270.8300.8300.9140.8850.8790.8930.9090.9110.9430.9531.0000.9990.9720.9850.9230.899
2018년 사업장수1.0000.7430.7210.8160.8170.8200.8990.8910.8920.9070.9210.8960.9380.9500.9991.0000.9740.9800.9050.878
2019년 사업장수1.0000.8450.7670.8580.8720.8700.9060.9230.9290.9420.9360.9070.8870.9090.9720.9741.0000.9930.9430.930
2020년 사업장수1.0000.8330.7560.8630.8640.8560.8850.9010.8920.9210.9170.8920.8850.9000.9850.9800.9931.0000.9690.959
2021년 사업장수1.0000.9030.7010.7810.7860.7710.8040.9530.9460.9570.9530.9400.9550.9290.9230.9050.9430.9691.0000.988
2022년 사업장수1.0000.9050.6780.7710.7920.7800.8470.9620.9550.9640.9620.9450.9410.9460.8990.8780.9300.9590.9881.000
2023-12-12T18:44:33.057595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2004년 사업장수2005년 사업장수2006년 사업장수2007년 사업장수2008년 사업장수2009년 사업장수2010년 사업장수2011년 사업장수2012년 사업장수2013년 사업장수2014년 사업장수2015년 사업장수2016년 사업장수2017년 사업장수2018년 사업장수2019년 사업장수2020년 사업장수2021년 사업장수2022년 사업장수
2004년 사업장수1.0000.9770.9240.9280.9290.9260.9170.9220.9110.9050.9030.8930.8930.8930.8910.8670.8650.8650.857
2005년 사업장수0.9771.0000.9460.9480.9400.9350.9300.9350.9210.9190.9200.9080.9090.9060.9060.8770.8740.8740.867
2006년 사업장수0.9240.9461.0000.9940.9900.9790.9840.9830.9760.9800.9740.9680.9720.9610.9640.9530.9500.9500.944
2007년 사업장수0.9280.9480.9941.0000.9950.9820.9860.9850.9780.9820.9760.9710.9760.9640.9670.9550.9510.9510.946
2008년 사업장수0.9290.9400.9900.9951.0000.9860.9900.9880.9830.9870.9810.9770.9800.9710.9700.9650.9580.9600.955
2009년 사업장수0.9260.9350.9790.9820.9861.0000.9910.9920.9880.9880.9810.9810.9800.9780.9760.9700.9680.9680.959
2010년 사업장수0.9170.9300.9840.9860.9900.9911.0000.9990.9960.9960.9920.9890.9900.9850.9840.9790.9760.9770.970
2011년 사업장수0.9220.9350.9830.9850.9880.9920.9991.0000.9960.9950.9910.9890.9900.9850.9840.9790.9760.9760.968
2012년 사업장수0.9110.9210.9760.9780.9830.9880.9960.9961.0000.9970.9930.9940.9940.9910.9900.9860.9830.9820.976
2013년 사업장수0.9050.9190.9800.9820.9870.9880.9960.9950.9971.0000.9950.9940.9950.9920.9890.9870.9850.9840.980
2014년 사업장수0.9030.9200.9740.9760.9810.9810.9920.9910.9930.9951.0000.9920.9930.9930.9880.9860.9830.9830.979
2015년 사업장수0.8930.9080.9680.9710.9770.9810.9890.9890.9940.9940.9921.0000.9960.9920.9910.9850.9830.9830.978
2016년 사업장수0.8930.9090.9720.9760.9800.9800.9900.9900.9940.9950.9930.9961.0000.9930.9910.9880.9860.9870.984
2017년 사업장수0.8930.9060.9610.9640.9710.9780.9850.9850.9910.9920.9930.9920.9931.0000.9930.9920.9890.9880.986
2018년 사업장수0.8910.9060.9640.9670.9700.9760.9840.9840.9900.9890.9880.9910.9910.9931.0000.9880.9850.9860.982
2019년 사업장수0.8670.8770.9530.9550.9650.9700.9790.9790.9860.9870.9860.9850.9880.9920.9881.0000.9960.9950.991
2020년 사업장수0.8650.8740.9500.9510.9580.9680.9760.9760.9830.9850.9830.9830.9860.9890.9850.9961.0000.9970.994
2021년 사업장수0.8650.8740.9500.9510.9600.9680.9770.9760.9820.9840.9830.9830.9870.9880.9860.9950.9971.0000.996
2022년 사업장수0.8570.8670.9440.9460.9550.9590.9700.9680.9760.9800.9790.9780.9840.9860.9820.9910.9940.9961.000

Missing values

2023-12-12T18:44:24.681219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:44:24.921848image/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

구분2004년 사업장수2005년 사업장수2006년 사업장수2007년 사업장수2008년 사업장수2009년 사업장수2010년 사업장수2011년 사업장수2012년 사업장수2013년 사업장수2014년 사업장수2015년 사업장수2016년 사업장수2017년 사업장수2018년 사업장수2019년 사업장수2020년 사업장수2021년 사업장수2022년 사업장수
0서 울 청542445307254260950961067409599198634104456108233116903118056122973129863123490126772126073126211126755127290
1서울강남72032782918740758856664135679260328635956597171276725117412277738753848256980061810088524787631
2서울동부39935433395112750598582855326454020568836122366298708797713081980815758505990721886999250095628
3서울서부36358402873873142145470234668848077509855197556024605886351165057670946771167943698977406473080
4서울남부37064405234465148476550244853851755551905496759347753636580368924685747085170270752297646878767
5서울북부29263328253202333727365343440736887392423990443188476294814850876534045371655648543725573658069
6서울관악32855361524084746331522885036348682516615467759210623976708270338721297175770168717857496278117
7의 정 부466865237434562393134708248427500015472556107618987232173760747048069384964870929169198786104868
8강 원10827104371518417525196221727116942188201919921750229802420925928273912749429707313983096434603
9태 백4073372037304780482851594439435342475118496259835462608158897225640766376988
구분2004년 사업장수2005년 사업장수2006년 사업장수2007년 사업장수2008년 사업장수2009년 사업장수2010년 사업장수2011년 사업장수2012년 사업장수2013년 사업장수2014년 사업장수2015년 사업장수2016년 사업장수2017년 사업장수2018년 사업장수2019년 사업장수2020년 사업장수2021년 사업장수2022년 사업장수
39군 산80268722906510366122691108613033148421478814602175961983318942202232124020706208112160522261
40목 포12364148651667018704214072112019466212622220624150268602742230140366223859537571333353640037100
41여 수16029198571895725555284092654126751287682795230399337083497341301394524106143447414394601047523
42제 주10821124211434515606174911771519116209042366024036284933102134936391544255240857419664435046837
43대 전 청315173300138833452505000350183544115819362384672747851391995895249147110129299327103485128098116400
44청 주21496231012559927693297012840432150341533677841062451935023051949483755580255088576866104065336
45충 주10691114491566516188182601708016392176931790019091212332430823719251332675330133315003277831755
46천 안19265204982514528733328843179733997369834102945577530545450158363635616473667337661227122078645
47보 령10043124341545918517193831583919363206472072222895263893243831108319423317322186203582296222539
48서 산00000000000000013113117281317714485