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, 노동관서별로 근로자수에 관한 분석데이터입니다.
URLhttps://www.data.go.kr/data/15064466/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 05:49:17.848404
Analysis finished2023-12-12 05:49:54.009268
Duration36.16 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
2023-12-12T14:49:54.159910image/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%
2023-12-12T14:49:54.537973image/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 근로자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct47
Distinct (%)95.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213736.53
Minimum0
Maximum902423
Zeros3
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:54.707379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile13954
Q192094
median191113
Q3303016
95-th percentile471326.8
Maximum902423
Range902423
Interquartile range (IQR)210922

Descriptive statistics

Standard deviation172925.44
Coefficient of variation (CV)0.8090589
Kurtosis4.8166788
Mean213736.53
Median Absolute Deviation (MAD)99482
Skewness1.7524847
Sum10473090
Variance2.9903208 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:54.869265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 3
 
6.1%
506326 1
 
2.0%
902423 1
 
2.0%
39338 1
 
2.0%
279688 1
 
2.0%
213359 1
 
2.0%
695873 1
 
2.0%
183532 1
 
2.0%
211775 1
 
2.0%
266634 1
 
2.0%
Other values (37) 37
75.5%
ValueCountFrequency (%)
0 3
6.1%
34885 1
 
2.0%
39338 1
 
2.0%
42764 1
 
2.0%
44621 1
 
2.0%
65176 1
 
2.0%
68835 1
 
2.0%
69042 1
 
2.0%
76168 1
 
2.0%
91631 1
 
2.0%
ValueCountFrequency (%)
902423 1
2.0%
695873 1
2.0%
506326 1
2.0%
418828 1
2.0%
401185 1
2.0%
355498 1
2.0%
329193 1
2.0%
327842 1
2.0%
318919 1
2.0%
316117 1
2.0%

2005년 근로자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean225697.82
Minimum0
Maximum930585
Zeros2
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:55.042492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile36775.6
Q199165
median205281
Q3311088
95-th percentile476771.6
Maximum930585
Range930585
Interquartile range (IQR)211923

Descriptive statistics

Standard deviation165267.81
Coefficient of variation (CV)0.7322526
Kurtosis5.622485
Mean225697.82
Median Absolute Deviation (MAD)106116
Skewness1.7027277
Sum11059193
Variance2.731345 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:55.204515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 2
 
4.1%
499164 1
 
2.0%
43836 1
 
2.0%
303413 1
 
2.0%
221930 1
 
2.0%
521774 1
 
2.0%
189614 1
 
2.0%
222448 1
 
2.0%
293964 1
 
2.0%
332278 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
0 2
4.1%
34392 1
2.0%
40351 1
2.0%
43836 1
2.0%
45815 1
2.0%
72323 1
2.0%
72644 1
2.0%
73034 1
2.0%
83661 1
2.0%
85646 1
2.0%
ValueCountFrequency (%)
930585 1
2.0%
521774 1
2.0%
499164 1
2.0%
443183 1
2.0%
411288 1
2.0%
377268 1
2.0%
350727 1
2.0%
350260 1
2.0%
348405 1
2.0%
332278 1
2.0%

2006년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238546.88
Minimum0
Maximum861898
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:55.356310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile46447.6
Q1118617
median235143
Q3322468
95-th percentile459306.8
Maximum861898
Range861898
Interquartile range (IQR)203851

Descriptive statistics

Standard deviation153462.56
Coefficient of variation (CV)0.64332245
Kurtosis4.40762
Mean238546.88
Median Absolute Deviation (MAD)99899
Skewness1.423583
Sum11688797
Variance2.3550758 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:55.489837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
501044 1
 
2.0%
176051 1
 
2.0%
350206 1
 
2.0%
251906 1
 
2.0%
533250 1
 
2.0%
217154 1
 
2.0%
246239 1
 
2.0%
304856 1
 
2.0%
396701 1
 
2.0%
286244 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
35604 1
2.0%
45322 1
2.0%
48136 1
2.0%
53776 1
2.0%
77028 1
2.0%
80558 1
2.0%
81458 1
2.0%
87714 1
2.0%
98563 1
2.0%
ValueCountFrequency (%)
861898 1
2.0%
533250 1
2.0%
501044 1
2.0%
396701 1
2.0%
386724 1
2.0%
383659 1
2.0%
378889 1
2.0%
353020 1
2.0%
352572 1
2.0%
350206 1
2.0%

2007년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255691.41
Minimum0
Maximum847247
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:55.645423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile58921.6
Q1125730
median250168
Q3346442
95-th percentile525469.4
Maximum847247
Range847247
Interquartile range (IQR)220712

Descriptive statistics

Standard deviation161498.41
Coefficient of variation (CV)0.63161454
Kurtosis2.7509608
Mean255691.41
Median Absolute Deviation (MAD)111291
Skewness1.2057948
Sum12528879
Variance2.6081737 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:55.839316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
847247 1
 
2.0%
192947 1
 
2.0%
390049 1
 
2.0%
253614 1
 
2.0%
627084 1
 
2.0%
239651 1
 
2.0%
267178 1
 
2.0%
316520 1
 
2.0%
454190 1
 
2.0%
259391 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
48460 1
2.0%
57754 1
2.0%
60673 1
2.0%
63516 1
2.0%
80774 1
2.0%
86807 1
2.0%
90729 1
2.0%
94669 1
2.0%
102834 1
2.0%
ValueCountFrequency (%)
847247 1
2.0%
627084 1
2.0%
572989 1
2.0%
454190 1
2.0%
417528 1
2.0%
397938 1
2.0%
390049 1
2.0%
376551 1
2.0%
374747 1
2.0%
370100 1
2.0%

2008년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean275305.84
Minimum0
Maximum901502
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:56.013567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile58983.8
Q1156710
median246885
Q3369002
95-th percentile547917
Maximum901502
Range901502
Interquartile range (IQR)212292

Descriptive statistics

Standard deviation172370.51
Coefficient of variation (CV)0.62610555
Kurtosis2.6227264
Mean275305.84
Median Absolute Deviation (MAD)117759
Skewness1.1653609
Sum13489986
Variance2.9711594 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:56.173980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
901502 1
 
2.0%
215124 1
 
2.0%
405590 1
 
2.0%
280341 1
 
2.0%
680153 1
 
2.0%
240874 1
 
2.0%
291842 1
 
2.0%
316175 1
 
2.0%
482907 1
 
2.0%
243456 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
41674 1
2.0%
56421 1
2.0%
62828 1
2.0%
66843 1
2.0%
86107 1
2.0%
88732 1
2.0%
99800 1
2.0%
112780 1
2.0%
113711 1
2.0%
ValueCountFrequency (%)
901502 1
2.0%
680153 1
2.0%
591257 1
2.0%
482907 1
2.0%
458070 1
2.0%
439626 1
2.0%
424153 1
2.0%
418340 1
2.0%
405590 1
2.0%
392734 1
2.0%

2009년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean283365.86
Minimum0
Maximum908214
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:56.672816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile64240.8
Q1148319
median263335
Q3390581
95-th percentile564994.8
Maximum908214
Range908214
Interquartile range (IQR)242262

Descriptive statistics

Standard deviation176500.09
Coefficient of variation (CV)0.62286998
Kurtosis2.342717
Mean283365.86
Median Absolute Deviation (MAD)115020
Skewness1.1022564
Sum13884927
Variance3.1152281 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:56.828956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
908214 1
 
2.0%
233222 1
 
2.0%
436677 1
 
2.0%
322080 1
 
2.0%
714913 1
 
2.0%
251682 1
 
2.0%
291769 1
 
2.0%
328229 1
 
2.0%
563112 1
 
2.0%
258817 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
43398 1
2.0%
61514 1
2.0%
68331 1
2.0%
68337 1
2.0%
78110 1
2.0%
86855 1
2.0%
90571 1
2.0%
109251 1
2.0%
121764 1
2.0%
ValueCountFrequency (%)
908214 1
2.0%
714913 1
2.0%
566250 1
2.0%
563112 1
2.0%
474322 1
2.0%
436677 1
2.0%
425437 1
2.0%
408703 1
2.0%
408341 1
2.0%
405020 1
2.0%

2010년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289770.37
Minimum0
Maximum877570
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:56.985399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile62976
Q1173649
median265813
Q3398369
95-th percentile553270
Maximum877570
Range877570
Interquartile range (IQR)224720

Descriptive statistics

Standard deviation174182.07
Coefficient of variation (CV)0.60110379
Kurtosis1.7842894
Mean289770.37
Median Absolute Deviation (MAD)118984
Skewness0.95357896
Sum14198748
Variance3.0339392 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:57.134726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
877570 1
 
2.0%
232756 1
 
2.0%
409744 1
 
2.0%
322563 1
 
2.0%
721754 1
 
2.0%
265813 1
 
2.0%
306503 1
 
2.0%
348673 1
 
2.0%
513674 1
 
2.0%
253736 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
38652 1
2.0%
57574 1
2.0%
71079 1
2.0%
71123 1
2.0%
85783 1
2.0%
101638 1
2.0%
112676 1
2.0%
114323 1
2.0%
133082 1
2.0%
ValueCountFrequency (%)
877570 1
2.0%
721754 1
2.0%
578408 1
2.0%
515563 1
2.0%
513674 1
2.0%
433855 1
2.0%
432352 1
2.0%
412203 1
2.0%
411486 1
2.0%
409744 1
2.0%

2011년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293109.63
Minimum0
Maximum910243
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:57.311039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile58394
Q1165308
median278589
Q3392006
95-th percentile565817.2
Maximum910243
Range910243
Interquartile range (IQR)226698

Descriptive statistics

Standard deviation178338.75
Coefficient of variation (CV)0.60843702
Kurtosis2.141389
Mean293109.63
Median Absolute Deviation (MAD)113417
Skewness1.0221862
Sum14362372
Variance3.180471 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:57.466965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
910243 1
 
2.0%
272052 1
 
2.0%
416663 1
 
2.0%
343208 1
 
2.0%
738666 1
 
2.0%
263451 1
 
2.0%
289437 1
 
2.0%
353770 1
 
2.0%
531991 1
 
2.0%
267951 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
38479 1
2.0%
49890 1
2.0%
71150 1
2.0%
72025 1
2.0%
85400 1
2.0%
94755 1
2.0%
104956 1
2.0%
110818 1
2.0%
132673 1
2.0%
ValueCountFrequency (%)
910243 1
2.0%
738666 1
2.0%
588368 1
2.0%
531991 1
2.0%
531610 1
2.0%
434480 1
2.0%
425999 1
2.0%
419153 1
2.0%
418779 1
2.0%
416663 1
2.0%

2012년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317314.76
Minimum0
Maximum982909
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:57.637817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile55926.2
Q1173996
median300971
Q3429546
95-th percentile599502.6
Maximum982909
Range982909
Interquartile range (IQR)255550

Descriptive statistics

Standard deviation195118.57
Coefficient of variation (CV)0.61490545
Kurtosis1.912831
Mean317314.76
Median Absolute Deviation (MAD)127290
Skewness1.0170039
Sum15548423
Variance3.8071258 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:57.818557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
982909 1
 
2.0%
268795 1
 
2.0%
429546 1
 
2.0%
329752 1
 
2.0%
804564 1
 
2.0%
290147 1
 
2.0%
321541 1
 
2.0%
379795 1
 
2.0%
582900 1
 
2.0%
296919 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
42383 1
2.0%
43437 1
2.0%
74660 1
2.0%
80304 1
2.0%
97434 1
2.0%
108508 1
2.0%
111540 1
2.0%
142750 1
2.0%
152713 1
2.0%
ValueCountFrequency (%)
982909 1
2.0%
804564 1
2.0%
610571 1
2.0%
582900 1
2.0%
574056 1
2.0%
549611 1
2.0%
489111 1
2.0%
477783 1
2.0%
465886 1
2.0%
448360 1
2.0%

2013년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315290.37
Minimum0
Maximum958571
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:58.011166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile57375.6
Q1164985
median304776
Q3434159
95-th percentile607231.4
Maximum958571
Range958571
Interquartile range (IQR)269174

Descriptive statistics

Standard deviation195338.36
Coefficient of variation (CV)0.61955067
Kurtosis1.7341033
Mean315290.37
Median Absolute Deviation (MAD)131654
Skewness0.99168368
Sum15449228
Variance3.8157075 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:58.172613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
958571 1
 
2.0%
266906 1
 
2.0%
434159 1
 
2.0%
313504 1
 
2.0%
834015 1
 
2.0%
280734 1
 
2.0%
329438 1
 
2.0%
386776 1
 
2.0%
613745 1
 
2.0%
318159 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
46440 1
2.0%
46592 1
2.0%
73551 1
2.0%
73638 1
2.0%
107510 1
2.0%
110463 1
2.0%
112597 1
2.0%
117015 1
2.0%
135195 1
2.0%
ValueCountFrequency (%)
958571 1
2.0%
834015 1
2.0%
613745 1
2.0%
597461 1
2.0%
572812 1
2.0%
475156 1
2.0%
474035 1
2.0%
473254 1
2.0%
471890 1
2.0%
460718 1
2.0%

2014년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean348210.37
Minimum0
Maximum1044708
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:58.366618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile63218.4
Q1195582
median333773
Q3462973
95-th percentile650929.4
Maximum1044708
Range1044708
Interquartile range (IQR)267391

Descriptive statistics

Standard deviation212277.8
Coefficient of variation (CV)0.60962516
Kurtosis1.6332609
Mean348210.37
Median Absolute Deviation (MAD)136973
Skewness0.92896211
Sum17062308
Variance4.5061865 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:58.542305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1044708 1
 
2.0%
307571 1
 
2.0%
470746 1
 
2.0%
324817 1
 
2.0%
903452 1
 
2.0%
305362 1
 
2.0%
357418 1
 
2.0%
426237 1
 
2.0%
663513 1
 
2.0%
357948 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
44859 1
2.0%
53976 1
2.0%
77082 1
2.0%
86950 1
2.0%
112028 1
2.0%
118043 1
2.0%
121008 1
2.0%
135611 1
2.0%
149607 1
2.0%
ValueCountFrequency (%)
1044708 1
2.0%
903452 1
2.0%
663513 1
2.0%
632054 1
2.0%
618536 1
2.0%
546683 1
2.0%
533377 1
2.0%
522955 1
2.0%
521231 1
2.0%
517792 1
2.0%

2015년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean366712.88
Minimum0
Maximum1097978
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:58.696125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile67347.2
Q1198012
median369691
Q3466543
95-th percentile709155.2
Maximum1097978
Range1097978
Interquartile range (IQR)268531

Descriptive statistics

Standard deviation227184.95
Coefficient of variation (CV)0.61951724
Kurtosis1.7907821
Mean366712.88
Median Absolute Deviation (MAD)156414
Skewness1.0100324
Sum17968931
Variance5.1613001 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:58.871222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1097978 1
 
2.0%
312592 1
 
2.0%
490753 1
 
2.0%
369691 1
 
2.0%
1005672 1
 
2.0%
342979 1
 
2.0%
383925 1
 
2.0%
457628 1
 
2.0%
715816 1
 
2.0%
369972 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
46570 1
2.0%
55204 1
2.0%
85562 1
2.0%
91792 1
2.0%
117069 1
2.0%
118622 1
2.0%
127520 1
2.0%
153340 1
2.0%
161950 1
2.0%
ValueCountFrequency (%)
1097978 1
2.0%
1005672 1
2.0%
715816 1
2.0%
699164 1
2.0%
629161 1
2.0%
613545 1
2.0%
558780 1
2.0%
552687 1
2.0%
537185 1
2.0%
526105 1
2.0%

2016년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376157.47
Minimum0
Maximum1105055
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:59.034912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile65984
Q1198440
median378861
Q3492258
95-th percentile703173.6
Maximum1105055
Range1105055
Interquartile range (IQR)293818

Descriptive statistics

Standard deviation233660.77
Coefficient of variation (CV)0.62117807
Kurtosis1.6095415
Mean376157.47
Median Absolute Deviation (MAD)164759
Skewness0.94384849
Sum18431716
Variance5.4597356 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:59.198103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1105055 1
 
2.0%
317335 1
 
2.0%
501199 1
 
2.0%
378861 1
 
2.0%
1048634 1
 
2.0%
346218 1
 
2.0%
389935 1
 
2.0%
459346 1
 
2.0%
715576 1
 
2.0%
409209 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
36682 1
2.0%
51420 1
2.0%
87830 1
2.0%
101416 1
2.0%
118507 1
2.0%
120458 1
2.0%
128916 1
2.0%
144894 1
2.0%
150121 1
2.0%
ValueCountFrequency (%)
1105055 1
2.0%
1048634 1
2.0%
715576 1
2.0%
684570 1
2.0%
652250 1
2.0%
616598 1
2.0%
593631 1
2.0%
590897 1
2.0%
552075 1
2.0%
543620 1
2.0%

2017년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378778.41
Minimum0
Maximum1134304
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:59.332697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile68685
Q1190897
median369386
Q3497133
95-th percentile737478.6
Maximum1134304
Range1134304
Interquartile range (IQR)306236

Descriptive statistics

Standard deviation239275.29
Coefficient of variation (CV)0.63170257
Kurtosis1.7424168
Mean378778.41
Median Absolute Deviation (MAD)152198
Skewness1.0159062
Sum18560142
Variance5.7252666 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:59.466955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1134304 1
 
2.0%
321906 1
 
2.0%
507690 1
 
2.0%
364327 1
 
2.0%
1067657 1
 
2.0%
369386 1
 
2.0%
386875 1
 
2.0%
455132 1
 
2.0%
754633 1
 
2.0%
416348 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
35224 1
2.0%
56057 1
2.0%
87627 1
2.0%
90664 1
2.0%
118941 1
2.0%
125011 1
2.0%
134268 1
2.0%
149323 1
2.0%
152852 1
2.0%
ValueCountFrequency (%)
1134304 1
2.0%
1067657 1
2.0%
754633 1
2.0%
711747 1
2.0%
659632 1
2.0%
647060 1
2.0%
608241 1
2.0%
592980 1
2.0%
553326 1
2.0%
514522 1
2.0%

2018년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean389253.84
Minimum0
Maximum1182117
Zeros1
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:59.603527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile65189.6
Q1195915
median387481
Q3503427
95-th percentile751027.2
Maximum1182117
Range1182117
Interquartile range (IQR)307512

Descriptive statistics

Standard deviation247998.86
Coefficient of variation (CV)0.63711347
Kurtosis1.8093509
Mean389253.84
Median Absolute Deviation (MAD)161096
Skewness1.0218421
Sum19073438
Variance6.1503435 × 1010
MonotonicityNot monotonic
2023-12-12T14:49:59.745002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1182117 1
 
2.0%
328438 1
 
2.0%
525215 1
 
2.0%
387481 1
 
2.0%
1100472 1
 
2.0%
366685 1
 
2.0%
411631 1
 
2.0%
469085 1
 
2.0%
780054 1
 
2.0%
433689 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
0 1
2.0%
37196 1
2.0%
48526 1
2.0%
90185 1
2.0%
92187 1
2.0%
123156 1
2.0%
127023 1
2.0%
129302 1
2.0%
149184 1
2.0%
150240 1
2.0%
ValueCountFrequency (%)
1182117 1
2.0%
1100472 1
2.0%
780054 1
2.0%
707487 1
2.0%
685801 1
2.0%
645885 1
2.0%
635334 1
2.0%
621541 1
2.0%
560289 1
2.0%
525215 1
2.0%

2019년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean382146.12
Minimum42343
Maximum1169054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:49:59.890336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42343
5-th percentile86622
Q1192549
median372307
Q3493633
95-th percentile760299.4
Maximum1169054
Range1126711
Interquartile range (IQR)301084

Descriptive statistics

Standard deviation248629.85
Coefficient of variation (CV)0.65061461
Kurtosis1.9953977
Mean382146.12
Median Absolute Deviation (MAD)160098
Skewness1.1525172
Sum18725160
Variance6.1816802 × 1010
MonotonicityNot monotonic
2023-12-12T14:50:00.086720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1169054 1
 
2.0%
325238 1
 
2.0%
532405 1
 
2.0%
393955 1
 
2.0%
1130344 1
 
2.0%
372307 1
 
2.0%
411322 1
 
2.0%
447662 1
 
2.0%
805215 1
 
2.0%
408883 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
42343 1
2.0%
47840 1
2.0%
84538 1
2.0%
89748 1
2.0%
91342 1
2.0%
121222 1
2.0%
121491 1
2.0%
125236 1
2.0%
125405 1
2.0%
140312 1
2.0%
ValueCountFrequency (%)
1169054 1
2.0%
1130344 1
2.0%
805215 1
2.0%
692926 1
2.0%
686799 1
2.0%
643857 1
2.0%
634665 1
2.0%
620059 1
2.0%
538257 1
2.0%
532405 1
2.0%

2020년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean387234.96
Minimum40789
Maximum1170061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:50:00.236153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40789
5-th percentile84934.4
Q1184382
median383166
Q3502057
95-th percentile788124.6
Maximum1170061
Range1129272
Interquartile range (IQR)317675

Descriptive statistics

Standard deviation254376.58
Coefficient of variation (CV)0.65690499
Kurtosis1.8953541
Mean387234.96
Median Absolute Deviation (MAD)162788
Skewness1.1388273
Sum18974513
Variance6.4707443 × 1010
MonotonicityNot monotonic
2023-12-12T14:50:00.375521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1170061 1
 
2.0%
330424 1
 
2.0%
554378 1
 
2.0%
401671 1
 
2.0%
1164730 1
 
2.0%
383166 1
 
2.0%
417642 1
 
2.0%
448252 1
 
2.0%
825635 1
 
2.0%
425699 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
40789 1
2.0%
45701 1
2.0%
83766 1
2.0%
86687 1
2.0%
86804 1
2.0%
116636 1
2.0%
117915 1
2.0%
125076 1
2.0%
128712 1
2.0%
143116 1
2.0%
ValueCountFrequency (%)
1170061 1
2.0%
1164730 1
2.0%
825635 1
2.0%
731859 1
2.0%
697629 1
2.0%
654076 1
2.0%
636025 1
2.0%
631044 1
2.0%
554378 1
2.0%
545954 1
2.0%

2021년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean395480.92
Minimum39025
Maximum1209307
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:50:00.551193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39025
5-th percentile88520
Q1185753
median386606
Q3510200
95-th percentile823863
Maximum1209307
Range1170282
Interquartile range (IQR)324447

Descriptive statistics

Standard deviation259560.89
Coefficient of variation (CV)0.65631711
Kurtosis1.7914464
Mean395480.92
Median Absolute Deviation (MAD)173418
Skewness1.1191181
Sum19378565
Variance6.7371857 × 1010
MonotonicityNot monotonic
2023-12-12T14:50:00.710962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1156810 1
 
2.0%
334560 1
 
2.0%
562625 1
 
2.0%
417260 1
 
2.0%
1209307 1
 
2.0%
386606 1
 
2.0%
431385 1
 
2.0%
452612 1
 
2.0%
862637 1
 
2.0%
453244 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
39025 1
2.0%
45688 1
2.0%
87224 1
2.0%
90464 1
2.0%
97799 1
2.0%
120659 1
2.0%
122815 1
2.0%
124609 1
2.0%
131659 1
2.0%
148380 1
2.0%
ValueCountFrequency (%)
1209307 1
2.0%
1156810 1
2.0%
862637 1
2.0%
765702 1
2.0%
699590 1
2.0%
663498 1
2.0%
642960 1
2.0%
633422 1
2.0%
579293 1
2.0%
562625 1
2.0%

2022년 근로자수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean411706.43
Minimum40311
Maximum1249007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T14:50:00.932313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40311
5-th percentile93334.4
Q1196826
median396654
Q3524051
95-th percentile864981
Maximum1249007
Range1208696
Interquartile range (IQR)327225

Descriptive statistics

Standard deviation270210.45
Coefficient of variation (CV)0.65631827
Kurtosis1.6535849
Mean411706.43
Median Absolute Deviation (MAD)178303
Skewness1.0992132
Sum20173615
Variance7.3013687 × 1010
MonotonicityNot monotonic
2023-12-12T14:50:01.463593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1195753 1
 
2.0%
341928 1
 
2.0%
586817 1
 
2.0%
432307 1
 
2.0%
1249007 1
 
2.0%
396654 1
 
2.0%
448043 1
 
2.0%
471362 1
 
2.0%
909493 1
 
2.0%
508674 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
40311 1
2.0%
53180 1
2.0%
90794 1
2.0%
97145 1
2.0%
101345 1
2.0%
123610 1
2.0%
126160 1
2.0%
129475 1
2.0%
142980 1
2.0%
149593 1
2.0%
ValueCountFrequency (%)
1249007 1
2.0%
1195753 1
2.0%
909493 1
2.0%
798213 1
2.0%
747522 1
2.0%
715317 1
2.0%
656131 1
2.0%
653127 1
2.0%
613915 1
2.0%
586817 1
2.0%

Interactions

2023-12-12T14:49:51.825419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:18.443684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:20.260648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.159366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.129561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.746933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.243413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:29.009875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.363062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:33.105136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:35.234734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:37.520086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.441196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.012736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.730099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:44.683139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.207335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.884657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:49.963712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.918198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:18.525081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:20.375073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.236603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.200863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.817298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.343089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:29.118772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.461588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:33.195539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:35.349233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:37.640834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.519780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.084584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.822790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:44.754797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.281851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.987115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:50.067583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.034165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:18.607161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:20.473453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.322539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.317386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.894985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.432410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:29.244423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.541234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:33.284640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:35.470311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:37.729925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.594820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.181024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.914486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:44.831013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.363516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.091376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:50.160611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.115621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:18.684560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:20.564450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.400805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.422205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.962948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.518649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:29.373554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.623452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:33.376980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:35.579797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:37.830741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.664230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.278711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.005715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:44.907741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.438128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.186507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:50.248729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.194974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:18.762482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:20.649676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.475609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.522893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.042538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.613962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:29.497781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.695455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:33.474070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:35.685475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:37.923949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.742612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.357501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.095201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:44.979377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.513502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.305290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:50.327178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.267494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:18.836923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:20.740250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.550783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.609323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.106417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.689236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:29.597439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.776618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:33.551772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:35.787159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:38.018690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.816614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.448179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.163630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.049615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.598729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.451414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:50.405665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.344482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:18.917308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:20.835444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.641675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.681203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.172298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.755234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:29.695199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.878194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:33.636543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:35.904584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:38.384570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.884042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.524449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.233975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.123580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.685709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.533418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:50.483215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.426289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:18.990600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:20.931190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.716675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.766096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.252080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.819857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:29.782484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.971976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:33.728479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:36.037718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:38.453461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.954429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.600391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.306774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.194637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.783134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.663261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:50.556640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.506891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:19.093752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:21.027734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.790383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.827573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.321635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.891747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:29.874942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.048589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:33.825519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:36.139731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:38.520957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.022459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.674784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.397511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.275050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.875177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.782758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:50.947662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.588306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:19.189530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:21.135824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.888359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.895365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.391030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.983697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:29.979091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.126692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:33.920025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:36.236935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:38.594623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.095915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.776952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.514624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.351526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.967130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:48.917789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.022880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.663645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:19.276140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:21.230227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.971575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.965901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.466490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:28.074690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:30.088914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.208705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:34.024677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:36.369002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:38.670507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.172961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:41.904589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.624274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.423955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.047987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:49.033271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.108833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.744845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:19.378771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:21.329190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:23.051752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.046437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.542070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:28.157376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:30.551215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.287262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:34.163197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:36.498956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:38.742447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.255842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.004733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.723534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.502399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.128443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:49.166527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.179938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.826056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:19.478433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:21.423338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:23.452038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.125034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.616607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:28.250863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:30.648130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.379131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:34.288123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:36.611880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:38.815820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.349637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.092867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.808406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.579027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.214277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:49.270457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.252118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:52.924922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:19.601157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:21.523148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:23.542212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.224647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.690277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:28.344031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:30.763096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.460753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:34.423107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:36.733653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:38.890330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.420956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.166987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.887727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.661663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.294389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:49.364165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.333158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:53.011835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:19.707580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:21.625597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:23.642306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.309933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.770869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:28.484575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:30.872238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.571280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:34.570465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:36.856043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:38.972279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.506766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.261696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:43.975943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.742548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.378028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:49.458714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.418204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:53.100378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:19.815545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:21.738569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:23.737956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.387489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.857211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:28.590767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:30.976891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.676157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:34.710430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:36.999120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.089442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.602590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.348540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:44.080204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.824203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.468854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:49.557278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.502869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:53.208205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:19.929991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:21.833569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:23.854348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.480045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:26.947863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:28.707408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.074610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.785467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:34.828274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:37.161894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.188154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.723872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.448225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:44.157626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:45.911076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.569942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:49.664994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.579027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:53.314328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:20.042228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:21.931537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:23.955477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.579057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.047708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:28.808717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.162205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.883969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:34.976300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:37.291323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.271230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.825586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.554787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:44.233705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.023114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.661818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:49.769745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.657442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:53.423138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:20.148285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:22.042581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:24.049651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:25.664567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:27.157021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:28.907296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:31.260633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:32.994778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:35.111154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:37.406889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:39.363328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:40.918784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:42.635655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:44.342489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:46.118498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:47.795466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:49.880726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:49:51.747511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:50:01.602377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분2004년 근로자수2005년 근로자수2006년 근로자수2007년 근로자수2008년 근로자수2009년 근로자수2010년 근로자수2011년 근로자수2012년 근로자수2013년 근로자수2014년 근로자수2015년 근로자수2016년 근로자수2017년 근로자수2018년 근로자수2019년 근로자수2020년 근로자수2021년 근로자수2022년 근로자수
구분1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2004년 근로자수1.0001.0000.9450.9820.9210.9320.9070.9380.9260.9360.8990.8910.9350.9280.9350.9380.9170.9330.8040.804
2005년 근로자수1.0000.9451.0000.8810.8730.8910.8490.8910.8990.8760.8360.8210.8570.8480.8570.8310.8130.8250.8220.810
2006년 근로자수1.0000.9820.8811.0000.9600.9590.9480.9350.9460.9580.9290.9260.9620.9580.9620.9580.9480.9540.8440.844
2007년 근로자수1.0000.9210.8730.9601.0000.9950.9880.9860.9900.9910.9900.9850.9110.9060.9110.9370.8900.8530.9500.950
2008년 근로자수1.0000.9320.8910.9590.9951.0000.9970.9970.9990.9970.9920.9910.9350.9270.9350.9180.8770.9000.9570.952
2009년 근로자수1.0000.9070.8490.9480.9880.9971.0000.9880.9920.9890.9960.9840.9070.8990.9070.9060.8740.8900.9720.968
2010년 근로자수1.0000.9380.8910.9350.9860.9970.9881.0000.9970.9950.9880.9850.9280.9170.9280.9130.8470.8840.9380.938
2011년 근로자수1.0000.9260.8990.9460.9900.9990.9920.9971.0000.9970.9920.9910.9320.9230.9320.9150.8490.8780.9440.939
2012년 근로자수1.0000.9360.8760.9580.9910.9970.9890.9950.9971.0000.9950.9930.9470.9340.9470.9450.8840.8790.9410.941
2013년 근로자수1.0000.8990.8360.9290.9900.9920.9960.9880.9920.9951.0000.9960.9580.9450.9580.9480.8750.8630.9610.961
2014년 근로자수1.0000.8910.8210.9260.9850.9910.9840.9850.9910.9930.9961.0000.9710.9710.9710.9500.8870.9120.9620.962
2015년 근로자수1.0000.9350.8570.9620.9110.9350.9070.9280.9320.9470.9580.9711.0001.0001.0000.9980.9760.9860.9190.919
2016년 근로자수1.0000.9280.8480.9580.9060.9270.8990.9170.9230.9340.9450.9711.0001.0001.0000.9960.9720.9870.9230.923
2017년 근로자수1.0000.9350.8570.9620.9110.9350.9070.9280.9320.9470.9580.9711.0001.0001.0000.9980.9760.9860.9190.919
2018년 근로자수1.0000.9380.8310.9580.9370.9180.9060.9130.9150.9450.9480.9500.9980.9960.9981.0000.9890.9770.9200.920
2019년 근로자수1.0000.9170.8130.9480.8900.8770.8740.8470.8490.8840.8750.8870.9760.9720.9760.9891.0000.9920.9670.967
2020년 근로자수1.0000.9330.8250.9540.8530.9000.8900.8840.8780.8790.8630.9120.9860.9870.9860.9770.9921.0000.9730.973
2021년 근로자수1.0000.8040.8220.8440.9500.9570.9720.9380.9440.9410.9610.9620.9190.9230.9190.9200.9670.9731.0001.000
2022년 근로자수1.0000.8040.8100.8440.9500.9520.9680.9380.9390.9410.9610.9620.9190.9230.9190.9200.9670.9731.0001.000
2023-12-12T14:50:01.805498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2004년 근로자수2005년 근로자수2006년 근로자수2007년 근로자수2008년 근로자수2009년 근로자수2010년 근로자수2011년 근로자수2012년 근로자수2013년 근로자수2014년 근로자수2015년 근로자수2016년 근로자수2017년 근로자수2018년 근로자수2019년 근로자수2020년 근로자수2021년 근로자수2022년 근로자수
2004년 근로자수1.0000.9670.8980.9110.8890.8990.8850.8970.9090.8980.8920.8930.8830.8810.8840.8770.8740.8620.853
2005년 근로자수0.9671.0000.9450.9470.9180.9280.9100.9190.9380.9300.9250.9220.9190.9190.9210.9100.9090.9020.900
2006년 근로자수0.8980.9451.0000.9940.9790.9780.9760.9760.9820.9840.9810.9800.9800.9810.9780.9640.9600.9560.954
2007년 근로자수0.9110.9470.9941.0000.9880.9870.9830.9810.9880.9890.9870.9870.9840.9860.9850.9730.9680.9640.961
2008년 근로자수0.8890.9180.9790.9881.0000.9910.9910.9900.9910.9920.9900.9910.9880.9880.9870.9800.9740.9710.966
2009년 근로자수0.8990.9280.9780.9870.9911.0000.9870.9860.9840.9850.9820.9810.9790.9790.9790.9750.9700.9680.963
2010년 근로자수0.8850.9100.9760.9830.9910.9871.0000.9910.9880.9890.9900.9900.9880.9870.9840.9750.9710.9670.960
2011년 근로자수0.8970.9190.9760.9810.9900.9860.9911.0000.9900.9900.9880.9870.9850.9830.9830.9720.9690.9630.957
2012년 근로자수0.9090.9380.9820.9880.9910.9840.9880.9901.0000.9960.9930.9930.9920.9910.9900.9810.9770.9720.968
2013년 근로자수0.8980.9300.9840.9890.9920.9850.9890.9900.9961.0000.9970.9960.9940.9940.9920.9840.9800.9760.972
2014년 근로자수0.8920.9250.9810.9870.9900.9820.9900.9880.9930.9971.0000.9960.9960.9960.9930.9800.9770.9730.969
2015년 근로자수0.8930.9220.9800.9870.9910.9810.9900.9870.9930.9960.9961.0000.9960.9960.9940.9840.9800.9760.971
2016년 근로자수0.8830.9190.9800.9840.9880.9790.9880.9850.9920.9940.9960.9961.0000.9980.9960.9840.9810.9780.975
2017년 근로자수0.8810.9190.9810.9860.9880.9790.9870.9830.9910.9940.9960.9960.9981.0000.9980.9860.9840.9800.977
2018년 근로자수0.8840.9210.9780.9850.9870.9790.9840.9830.9900.9920.9930.9940.9960.9981.0000.9890.9860.9830.981
2019년 근로자수0.8770.9100.9640.9730.9800.9750.9750.9720.9810.9840.9800.9840.9840.9860.9891.0000.9990.9970.995
2020년 근로자수0.8740.9090.9600.9680.9740.9700.9710.9690.9770.9800.9770.9800.9810.9840.9860.9991.0000.9980.996
2021년 근로자수0.8620.9020.9560.9640.9710.9680.9670.9630.9720.9760.9730.9760.9780.9800.9830.9970.9981.0000.998
2022년 근로자수0.8530.9000.9540.9610.9660.9630.9600.9570.9680.9720.9690.9710.9750.9770.9810.9950.9960.9981.000

Missing values

2023-12-12T14:49:53.587874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:49:53.913998image/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 근로자수2005년 근로자수2006년 근로자수2007년 근로자수2008년 근로자수2009년 근로자수2010년 근로자수2011년 근로자수2012년 근로자수2013년 근로자수2014년 근로자수2015년 근로자수2016년 근로자수2017년 근로자수2018년 근로자수2019년 근로자수2020년 근로자수2021년 근로자수2022년 근로자수
0서 울 청506326499164501044847247901502908214877570910243982909958571104470810979781105055113430411821171169054117006111568101195753
1서울강남902423930585861898572989591257566250578408588368610571597461618536629161652250659632685801686799697629699590747522
2서울동부355498377268378889376551418340408341406238418779549611473254517792552687590897592980635334643857654076663498715317
3서울서부311926323320297751319373361180370207380582380059414774415907462973457929472106474142493169494829508756510200512290
4서울남부401185411288386724397938424153425437433855434480477783475156546683558780593631608241621541634665636025633422656131
5서울북부208746216352216378236801243221257158251456243353267692266023293854292605304189303168313246321394323596332050335103
6서울관악282154350260331525346442375071405020398369392006448360436430452690466543492258497133503427504918507074516645532266
7의 정 부418828443183240198267780313468330213337644331697376125380721431046432403443688453347472181488518502057521442544365
8강 원9620683661118188109424112780121764133082132673142750135195149607153340150121152852150240154953162025160671167465
9태 백34885343923560463516416744339838652384794238346440448594657036682352243719642343407893902540311
구분2004년 근로자수2005년 근로자수2006년 근로자수2007년 근로자수2008년 근로자수2009년 근로자수2010년 근로자수2011년 근로자수2012년 근로자수2013년 근로자수2014년 근로자수2015년 근로자수2016년 근로자수2017년 근로자수2018년 근로자수2019년 근로자수2020년 근로자수2021년 근로자수2022년 근로자수
39군 산6883572644814589466911735290571112676110818169881117015135611161950144894149323149184125405125076124609129475
40목 포110648149743141749152049172295174831177718165308173681172567195582204011191739190897195915198644184382185753196826
41여 수160312205281212428222389240393263335253040303236259024246843287152260767292344291789304045312388309341315121334238
42제 주916318933698563102834113711124831135704137612173996161816185281198012216552217188226385222839227505227697238152
43대 전 청327842350727383659417528458070474322515563531610574056572812632054699164684570711747707487692926731859765702798213
44청 주222950240662265881267516278836277874331685309426335435342234364055410396396704406735429125417135432928451468474864
45충 주9209499165114826115855138297148315148946138844152713153771159882183468174509181736189440192549200491205742214760
46천 안286336286011322468362564439626393997409630425999489111474035521231537185552075553326560289538257545954579293613915
47보 령100454113445127079143111161403148319177972234626175699190437208473216162207705204360213279121491117915120659126160
48서 산00000000000000089748866879046497145