Overview

Dataset statistics

Number of variables20
Number of observations33
Missing cells228
Missing cells (%)34.5%
Duplicate rows1
Duplicate rows (%)3.0%
Total size in memory5.9 KiB
Average record size in memory184.0 B

Variable types

Numeric19
Categorical1

Dataset

Description2003년~2023년까지 보건의료인(의사, 치과의사, 한의사, 간호사, 조산사, 임상병리사, 방사선사, 물리치료사, 작업치료사, 치과기공사, 치과위생사, 보건의료정보관리사, 안경사, 약사, 한약사, 1급응급구조사, 영양사, 간호조무사)의 면허(자격)사항에 대한 최근 21년 간의 사망확인자 면허 말소 현황을 제공합니다.
Author보건복지부
URLhttps://www.data.go.kr/data/15093759/fileData.do

Alerts

Dataset has 1 (3.0%) duplicate rowsDuplicates
연도 is highly overall correlated with 작업치료사 and 4 other fieldsHigh correlation
의사 is highly overall correlated with 치과의사 and 15 other fieldsHigh correlation
치과의사 is highly overall correlated with 의사 and 14 other fieldsHigh correlation
한의사 is highly overall correlated with 의사 and 14 other fieldsHigh correlation
간호사 is highly overall correlated with 의사 and 15 other fieldsHigh correlation
조산사 is highly overall correlated with 의사 and 13 other fieldsHigh correlation
임상병리사 is highly overall correlated with 의사 and 15 other fieldsHigh correlation
방사선사 is highly overall correlated with 의사 and 15 other fieldsHigh correlation
물리치료사 is highly overall correlated with 의사 and 15 other fieldsHigh correlation
작업치료사 is highly overall correlated with 연도 and 14 other fieldsHigh correlation
치과기공사 is highly overall correlated with 의사 and 15 other fieldsHigh correlation
치과위생사 is highly overall correlated with 연도 and 16 other fieldsHigh correlation
보건의료정보관리사 is highly overall correlated with 의사 and 15 other fieldsHigh correlation
안경사 is highly overall correlated with 의사 and 15 other fieldsHigh correlation
약사 is highly overall correlated with 의사 and 15 other fieldsHigh correlation
1급응급구조사 is highly overall correlated with 연도 and 17 other fieldsHigh correlation
2급응급구조사 is highly overall correlated with 연도 and 16 other fieldsHigh correlation
영양사 is highly overall correlated with 의사 and 15 other fieldsHigh correlation
간호조무사 is highly overall correlated with 연도 and 3 other fieldsHigh correlation
연도 has 12 (36.4%) missing valuesMissing
의사 has 12 (36.4%) missing valuesMissing
치과의사 has 12 (36.4%) missing valuesMissing
한의사 has 12 (36.4%) missing valuesMissing
간호사 has 12 (36.4%) missing valuesMissing
조산사 has 12 (36.4%) missing valuesMissing
임상병리사 has 12 (36.4%) missing valuesMissing
방사선사 has 12 (36.4%) missing valuesMissing
물리치료사 has 12 (36.4%) missing valuesMissing
작업치료사 has 12 (36.4%) missing valuesMissing
치과기공사 has 12 (36.4%) missing valuesMissing
치과위생사 has 12 (36.4%) missing valuesMissing
보건의료정보관리사 has 12 (36.4%) missing valuesMissing
안경사 has 12 (36.4%) missing valuesMissing
약사 has 12 (36.4%) missing valuesMissing
1급응급구조사 has 12 (36.4%) missing valuesMissing
2급응급구조사 has 12 (36.4%) missing valuesMissing
영양사 has 12 (36.4%) missing valuesMissing
간호조무사 has 12 (36.4%) missing valuesMissing
치과의사 has 1 (3.0%) zerosZeros
한의사 has 2 (6.1%) zerosZeros
간호사 has 4 (12.1%) zerosZeros
조산사 has 3 (9.1%) zerosZeros
임상병리사 has 4 (12.1%) zerosZeros
방사선사 has 4 (12.1%) zerosZeros
물리치료사 has 3 (9.1%) zerosZeros
작업치료사 has 7 (21.2%) zerosZeros
치과기공사 has 4 (12.1%) zerosZeros
치과위생사 has 4 (12.1%) zerosZeros
보건의료정보관리사 has 4 (12.1%) zerosZeros
안경사 has 3 (9.1%) zerosZeros
1급응급구조사 has 4 (12.1%) zerosZeros
2급응급구조사 has 4 (12.1%) zerosZeros
영양사 has 4 (12.1%) zerosZeros
간호조무사 has 14 (42.4%) zerosZeros

Reproduction

Analysis started2024-03-16 04:17:45.800615
Analysis finished2024-03-16 04:18:52.839074
Duration1 minute and 7.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)100.0%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean2013
Minimum2003
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:52.979867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2003
5-th percentile2004
Q12008
median2013
Q32018
95-th percentile2022
Maximum2023
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.0030823829
Kurtosis-1.2
Mean2013
Median Absolute Deviation (MAD)5
Skewness0
Sum42273
Variance38.5
MonotonicityStrictly decreasing
2024-03-16T13:18:53.288731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2022 1
 
3.0%
2003 1
 
3.0%
2004 1
 
3.0%
2005 1
 
3.0%
2006 1
 
3.0%
2007 1
 
3.0%
2008 1
 
3.0%
2009 1
 
3.0%
2010 1
 
3.0%
2011 1
 
3.0%
Other values (11) 11
33.3%
(Missing) 12
36.4%
ValueCountFrequency (%)
2003 1
3.0%
2004 1
3.0%
2005 1
3.0%
2006 1
3.0%
2007 1
3.0%
2008 1
3.0%
2009 1
3.0%
2010 1
3.0%
2011 1
3.0%
2012 1
3.0%
ValueCountFrequency (%)
2023 1
3.0%
2022 1
3.0%
2021 1
3.0%
2020 1
3.0%
2019 1
3.0%
2018 1
3.0%
2017 1
3.0%
2016 1
3.0%
2015 1
3.0%
2014 1
3.0%

의사
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct19
Distinct (%)90.5%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean424.61905
Minimum2
Maximum2729
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:53.626759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile3
Q1241
median312
Q3378
95-th percentile706
Maximum2729
Range2727
Interquartile range (IQR)137

Descriptive statistics

Standard deviation561.02268
Coefficient of variation (CV)1.3212377
Kurtosis15.794942
Mean424.61905
Median Absolute Deviation (MAD)71
Skewness3.7569639
Sum8917
Variance314746.45
MonotonicityNot monotonic
2024-03-16T13:18:53.812105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
327 2
 
6.1%
269 2
 
6.1%
616 1
 
3.0%
3 1
 
3.0%
2729 1
 
3.0%
316 1
 
3.0%
5 1
 
3.0%
2 1
 
3.0%
706 1
 
3.0%
166 1
 
3.0%
Other values (9) 9
27.3%
(Missing) 12
36.4%
ValueCountFrequency (%)
2 1
3.0%
3 1
3.0%
5 1
3.0%
166 1
3.0%
235 1
3.0%
241 1
3.0%
269 2
6.1%
275 1
3.0%
282 1
3.0%
312 1
3.0%
ValueCountFrequency (%)
2729 1
3.0%
706 1
3.0%
655 1
3.0%
616 1
3.0%
469 1
3.0%
378 1
3.0%
335 1
3.0%
327 2
6.1%
316 1
3.0%
312 1
3.0%

치과의사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct19
Distinct (%)90.5%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean86.809524
Minimum0
Maximum539
Zeros1
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:53.994490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q154
median68
Q376
95-th percentile140
Maximum539
Range539
Interquartile range (IQR)22

Descriptive statistics

Standard deviation109.64699
Coefficient of variation (CV)1.2630756
Kurtosis16.115149
Mean86.809524
Median Absolute Deviation (MAD)14
Skewness3.7943544
Sum1823
Variance12022.462
MonotonicityNot monotonic
2024-03-16T13:18:54.209456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
60 2
 
6.1%
72 2
 
6.1%
105 1
 
3.0%
0 1
 
3.0%
539 1
 
3.0%
58 1
 
3.0%
2 1
 
3.0%
1 1
 
3.0%
128 1
 
3.0%
54 1
 
3.0%
Other values (9) 9
27.3%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 1
3.0%
1 1
3.0%
2 1
3.0%
45 1
3.0%
47 1
3.0%
54 1
3.0%
56 1
3.0%
58 1
3.0%
60 2
6.1%
68 1
3.0%
ValueCountFrequency (%)
539 1
3.0%
140 1
3.0%
128 1
3.0%
105 1
3.0%
95 1
3.0%
76 1
3.0%
75 1
3.0%
72 2
6.1%
70 1
3.0%
68 1
3.0%

한의사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct20
Distinct (%)95.2%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean111.95238
Minimum0
Maximum882
Zeros2
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:54.415182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155
median64
Q390
95-th percentile196
Maximum882
Range882
Interquartile range (IQR)35

Descriptive statistics

Standard deviation184.17532
Coefficient of variation (CV)1.6451219
Kurtosis17.171303
Mean111.95238
Median Absolute Deviation (MAD)24
Skewness3.9945722
Sum2351
Variance33920.548
MonotonicityNot monotonic
2024-03-16T13:18:54.606615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 2
 
6.1%
71 1
 
3.0%
882 1
 
3.0%
100 1
 
3.0%
182 1
 
3.0%
55 1
 
3.0%
28 1
 
3.0%
1 1
 
3.0%
78 1
 
3.0%
88 1
 
3.0%
Other values (10) 10
30.3%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 2
6.1%
1 1
3.0%
28 1
3.0%
50 1
3.0%
55 1
3.0%
57 1
3.0%
58 1
3.0%
61 1
3.0%
63 1
3.0%
64 1
3.0%
ValueCountFrequency (%)
882 1
3.0%
196 1
3.0%
182 1
3.0%
162 1
3.0%
100 1
3.0%
90 1
3.0%
88 1
3.0%
78 1
3.0%
71 1
3.0%
65 1
3.0%

간호사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct17
Distinct (%)81.0%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean264.33333
Minimum0
Maximum1170
Zeros4
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:55.005545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1185
median238
Q3340
95-th percentile469
Maximum1170
Range1170
Interquartile range (IQR)155

Descriptive statistics

Standard deviation248.41947
Coefficient of variation (CV)0.93979623
Kurtosis8.8266373
Mean264.33333
Median Absolute Deviation (MAD)102
Skewness2.4487149
Sum5551
Variance61712.233
MonotonicityNot monotonic
2024-03-16T13:18:55.224424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4
 
12.1%
208 2
 
6.1%
222 1
 
3.0%
1170 1
 
3.0%
111 1
 
3.0%
405 1
 
3.0%
185 1
 
3.0%
265 1
 
3.0%
403 1
 
3.0%
241 1
 
3.0%
Other values (7) 7
21.2%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 4
12.1%
111 1
 
3.0%
185 1
 
3.0%
208 2
6.1%
219 1
 
3.0%
222 1
 
3.0%
238 1
 
3.0%
241 1
 
3.0%
253 1
 
3.0%
265 1
 
3.0%
ValueCountFrequency (%)
1170 1
3.0%
469 1
3.0%
405 1
3.0%
403 1
3.0%
345 1
3.0%
340 1
3.0%
269 1
3.0%
265 1
3.0%
253 1
3.0%
241 1
3.0%

조산사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct16
Distinct (%)76.2%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean63.047619
Minimum0
Maximum378
Zeros3
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:55.751743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q133
median49
Q360
95-th percentile124
Maximum378
Range378
Interquartile range (IQR)27

Descriptive statistics

Standard deviation78.927483
Coefficient of variation (CV)1.251871
Kurtosis13.758496
Mean63.047619
Median Absolute Deviation (MAD)16
Skewness3.4284053
Sum1324
Variance6229.5476
MonotonicityNot monotonic
2024-03-16T13:18:56.085175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 3
 
9.1%
33 2
 
6.1%
49 2
 
6.1%
55 2
 
6.1%
57 1
 
3.0%
75 1
 
3.0%
109 1
 
3.0%
43 1
 
3.0%
65 1
 
3.0%
35 1
 
3.0%
Other values (6) 6
18.2%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 3
9.1%
3 1
 
3.0%
33 2
6.1%
35 1
 
3.0%
43 1
 
3.0%
48 1
 
3.0%
49 2
6.1%
53 1
 
3.0%
55 2
6.1%
57 1
 
3.0%
ValueCountFrequency (%)
378 1
3.0%
124 1
3.0%
109 1
3.0%
75 1
3.0%
65 1
3.0%
60 1
3.0%
57 1
3.0%
55 2
6.1%
53 1
3.0%
49 2
6.1%

임상병리사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct17
Distinct (%)81.0%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean67.47619
Minimum0
Maximum316
Zeros4
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:56.311673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median54
Q380
95-th percentile141
Maximum316
Range316
Interquartile range (IQR)35

Descriptive statistics

Standard deviation67.378497
Coefficient of variation (CV)0.99855218
Kurtosis9.3723377
Mean67.47619
Median Absolute Deviation (MAD)20
Skewness2.6264591
Sum1417
Variance4539.8619
MonotonicityNot monotonic
2024-03-16T13:18:56.650721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4
 
12.1%
52 2
 
6.1%
42 1
 
3.0%
316 1
 
3.0%
54 1
 
3.0%
97 1
 
3.0%
48 1
 
3.0%
58 1
 
3.0%
103 1
 
3.0%
71 1
 
3.0%
Other values (7) 7
21.2%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 4
12.1%
42 1
 
3.0%
45 1
 
3.0%
47 1
 
3.0%
48 1
 
3.0%
52 2
6.1%
54 1
 
3.0%
55 1
 
3.0%
58 1
 
3.0%
71 1
 
3.0%
ValueCountFrequency (%)
316 1
3.0%
141 1
3.0%
103 1
3.0%
97 1
3.0%
82 1
3.0%
80 1
3.0%
74 1
3.0%
71 1
3.0%
58 1
3.0%
55 1
3.0%

방사선사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct16
Distinct (%)76.2%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean46.952381
Minimum0
Maximum200
Zeros4
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:56.881685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q127
median40
Q353
95-th percentile92
Maximum200
Range200
Interquartile range (IQR)26

Descriptive statistics

Standard deviation43.146815
Coefficient of variation (CV)0.91894839
Kurtosis7.6788332
Mean46.952381
Median Absolute Deviation (MAD)13
Skewness2.2609991
Sum986
Variance1861.6476
MonotonicityNot monotonic
2024-03-16T13:18:57.100402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 4
 
12.1%
53 2
 
6.1%
36 2
 
6.1%
60 1
 
3.0%
200 1
 
3.0%
27 1
 
3.0%
62 1
 
3.0%
26 1
 
3.0%
92 1
 
3.0%
40 1
 
3.0%
Other values (6) 6
18.2%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 4
12.1%
26 1
 
3.0%
27 1
 
3.0%
36 2
6.1%
37 1
 
3.0%
39 1
 
3.0%
40 1
 
3.0%
43 1
 
3.0%
49 1
 
3.0%
52 1
 
3.0%
ValueCountFrequency (%)
200 1
3.0%
92 1
3.0%
81 1
3.0%
62 1
3.0%
60 1
3.0%
53 2
6.1%
52 1
3.0%
49 1
3.0%
43 1
3.0%
40 1
3.0%

물리치료사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct16
Distinct (%)76.2%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean30.761905
Minimum0
Maximum78
Zeros3
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:57.370698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q114
median33
Q342
95-th percentile58
Maximum78
Range78
Interquartile range (IQR)28

Descriptive statistics

Standard deviation20.772349
Coefficient of variation (CV)0.67526211
Kurtosis-0.0072153729
Mean30.761905
Median Absolute Deviation (MAD)9
Skewness0.14585112
Sum646
Variance431.49048
MonotonicityNot monotonic
2024-03-16T13:18:57.659672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 3
 
9.1%
42 2
 
6.1%
32 2
 
6.1%
37 2
 
6.1%
78 1
 
3.0%
10 1
 
3.0%
2 1
 
3.0%
45 1
 
3.0%
14 1
 
3.0%
58 1
 
3.0%
Other values (6) 6
18.2%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 3
9.1%
2 1
 
3.0%
10 1
 
3.0%
14 1
 
3.0%
27 1
 
3.0%
28 1
 
3.0%
32 2
6.1%
33 1
 
3.0%
34 1
 
3.0%
37 2
6.1%
ValueCountFrequency (%)
78 1
3.0%
58 1
3.0%
56 1
3.0%
45 1
3.0%
42 2
6.1%
39 1
3.0%
37 2
6.1%
34 1
3.0%
33 1
3.0%
32 2
6.1%

작업치료사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct8
Distinct (%)38.1%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean2.3809524
Minimum0
Maximum7
Zeros7
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:58.010413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.376472
Coefficient of variation (CV)0.99811823
Kurtosis-0.5959606
Mean2.3809524
Median Absolute Deviation (MAD)2
Skewness0.70718947
Sum50
Variance5.647619
MonotonicityNot monotonic
2024-03-16T13:18:58.222925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 7
21.2%
3 3
 
9.1%
2 3
 
9.1%
7 2
 
6.1%
4 2
 
6.1%
1 2
 
6.1%
5 1
 
3.0%
6 1
 
3.0%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 7
21.2%
1 2
 
6.1%
2 3
9.1%
3 3
9.1%
4 2
 
6.1%
5 1
 
3.0%
6 1
 
3.0%
7 2
 
6.1%
ValueCountFrequency (%)
7 2
 
6.1%
6 1
 
3.0%
5 1
 
3.0%
4 2
 
6.1%
3 3
9.1%
2 3
9.1%
1 2
 
6.1%
0 7
21.2%

치과기공사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct15
Distinct (%)71.4%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean45.238095
Minimum0
Maximum193
Zeros4
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:58.573121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q134
median40
Q348
95-th percentile80
Maximum193
Range193
Interquartile range (IQR)14

Descriptive statistics

Standard deviation40.811646
Coefficient of variation (CV)0.90215218
Kurtosis8.5692919
Mean45.238095
Median Absolute Deviation (MAD)8
Skewness2.3826152
Sum950
Variance1665.5905
MonotonicityNot monotonic
2024-03-16T13:18:58.903138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 4
 
12.1%
36 2
 
6.1%
40 2
 
6.1%
44 2
 
6.1%
66 1
 
3.0%
37 1
 
3.0%
48 1
 
3.0%
55 1
 
3.0%
80 1
 
3.0%
43 1
 
3.0%
Other values (5) 5
15.2%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 4
12.1%
32 1
 
3.0%
34 1
 
3.0%
36 2
6.1%
37 1
 
3.0%
40 2
6.1%
43 1
 
3.0%
44 2
6.1%
46 1
 
3.0%
48 1
 
3.0%
ValueCountFrequency (%)
193 1
3.0%
80 1
3.0%
76 1
3.0%
66 1
3.0%
55 1
3.0%
48 1
3.0%
46 1
3.0%
44 2
6.1%
43 1
3.0%
40 2
6.1%

치과위생사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct14
Distinct (%)66.7%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean19.285714
Minimum0
Maximum48
Zeros4
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:59.173241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median18
Q329
95-th percentile42
Maximum48
Range48
Interquartile range (IQR)23

Descriptive statistics

Standard deviation14.139105
Coefficient of variation (CV)0.73313877
Kurtosis-0.5970113
Mean19.285714
Median Absolute Deviation (MAD)11
Skewness0.19809916
Sum405
Variance199.91429
MonotonicityNot monotonic
2024-03-16T13:18:59.484969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 4
 
12.1%
29 2
 
6.1%
25 2
 
6.1%
16 2
 
6.1%
17 2
 
6.1%
42 1
 
3.0%
37 1
 
3.0%
31 1
 
3.0%
22 1
 
3.0%
18 1
 
3.0%
Other values (4) 4
 
12.1%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 4
12.1%
4 1
 
3.0%
6 1
 
3.0%
16 2
6.1%
17 2
6.1%
18 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
25 2
6.1%
29 2
6.1%
ValueCountFrequency (%)
48 1
3.0%
42 1
3.0%
37 1
3.0%
31 1
3.0%
29 2
6.1%
25 2
6.1%
23 1
3.0%
22 1
3.0%
18 1
3.0%
17 2
6.1%

보건의료정보관리사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct15
Distinct (%)71.4%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean10.190476
Minimum0
Maximum41
Zeros4
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:18:59.686260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median10
Q314
95-th percentile19
Maximum41
Range41
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.4584304
Coefficient of variation (CV)0.92816373
Kurtosis4.6632448
Mean10.190476
Median Absolute Deviation (MAD)6
Skewness1.7046799
Sum214
Variance89.461905
MonotonicityNot monotonic
2024-03-16T13:18:59.896493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 4
 
12.1%
10 3
 
9.1%
19 2
 
6.1%
14 1
 
3.0%
12 1
 
3.0%
9 1
 
3.0%
8 1
 
3.0%
16 1
 
3.0%
4 1
 
3.0%
11 1
 
3.0%
Other values (5) 5
15.2%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 4
12.1%
2 1
 
3.0%
4 1
 
3.0%
5 1
 
3.0%
6 1
 
3.0%
8 1
 
3.0%
9 1
 
3.0%
10 3
9.1%
11 1
 
3.0%
12 1
 
3.0%
ValueCountFrequency (%)
41 1
 
3.0%
19 2
6.1%
18 1
 
3.0%
16 1
 
3.0%
14 1
 
3.0%
12 1
 
3.0%
11 1
 
3.0%
10 3
9.1%
9 1
 
3.0%
8 1
 
3.0%

안경사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct19
Distinct (%)90.5%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean93.571429
Minimum0
Maximum341
Zeros3
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:19:00.123186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155
median84
Q3124
95-th percentile177
Maximum341
Range341
Interquartile range (IQR)69

Descriptive statistics

Standard deviation77.24414
Coefficient of variation (CV)0.82550989
Kurtosis4.3802039
Mean93.571429
Median Absolute Deviation (MAD)33
Skewness1.5594674
Sum1965
Variance5966.6571
MonotonicityNot monotonic
2024-03-16T13:19:00.315978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 3
 
9.1%
100 1
 
3.0%
341 1
 
3.0%
71 1
 
3.0%
1 1
 
3.0%
131 1
 
3.0%
51 1
 
3.0%
78 1
 
3.0%
66 1
 
3.0%
176 1
 
3.0%
Other values (9) 9
27.3%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 3
9.1%
1 1
 
3.0%
51 1
 
3.0%
55 1
 
3.0%
66 1
 
3.0%
71 1
 
3.0%
73 1
 
3.0%
78 1
 
3.0%
84 1
 
3.0%
97 1
 
3.0%
ValueCountFrequency (%)
341 1
3.0%
177 1
3.0%
176 1
3.0%
134 1
3.0%
131 1
3.0%
124 1
3.0%
104 1
3.0%
102 1
3.0%
100 1
3.0%
97 1
3.0%

약사
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct21
Distinct (%)100.0%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean348.2381
Minimum11
Maximum1898
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:19:00.487617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile14
Q1210
median265
Q3350
95-th percentile589
Maximum1898
Range1887
Interquartile range (IQR)140

Descriptive statistics

Standard deviation391.82176
Coefficient of variation (CV)1.1251548
Kurtosis13.18142
Mean348.2381
Median Absolute Deviation (MAD)85
Skewness3.2969502
Sum7313
Variance153524.29
MonotonicityNot monotonic
2024-03-16T13:19:00.759694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
325 1
 
3.0%
1898 1
 
3.0%
263 1
 
3.0%
11 1
 
3.0%
14 1
 
3.0%
465 1
 
3.0%
172 1
 
3.0%
21 1
 
3.0%
20 1
 
3.0%
259 1
 
3.0%
Other values (11) 11
33.3%
(Missing) 12
36.4%
ValueCountFrequency (%)
11 1
3.0%
14 1
3.0%
20 1
3.0%
21 1
3.0%
172 1
3.0%
210 1
3.0%
231 1
3.0%
248 1
3.0%
259 1
3.0%
263 1
3.0%
ValueCountFrequency (%)
1898 1
3.0%
589 1
3.0%
546 1
3.0%
479 1
3.0%
465 1
3.0%
350 1
3.0%
336 1
3.0%
325 1
3.0%
315 1
3.0%
296 1
3.0%

한약사
Categorical

Distinct6
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Memory size396.0 B
<NA>
12 
0
1
2
4

Length

Max length4
Median length1
Mean length2.0909091
Min length1

Unique

Unique1 ?
Unique (%)3.0%

Sample

1st row2
2nd row1
3rd row0
4th row4
5th row3

Common Values

ValueCountFrequency (%)
<NA> 12
36.4%
0 9
27.3%
1 6
18.2%
2 3
 
9.1%
4 2
 
6.1%
3 1
 
3.0%

Length

2024-03-16T13:19:01.003502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:19:01.251039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 12
36.4%
0 9
27.3%
1 6
18.2%
2 3
 
9.1%
4 2
 
6.1%
3 1
 
3.0%

1급응급구조사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct12
Distinct (%)57.1%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean6.7142857
Minimum0
Maximum18
Zeros4
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:19:01.443008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median7
Q39
95-th percentile15
Maximum18
Range18
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.1782512
Coefficient of variation (CV)0.77122891
Kurtosis-0.3846877
Mean6.7142857
Median Absolute Deviation (MAD)3
Skewness0.4529924
Sum141
Variance26.814286
MonotonicityNot monotonic
2024-03-16T13:19:01.609782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
9 4
 
12.1%
0 4
 
12.1%
5 2
 
6.1%
7 2
 
6.1%
4 2
 
6.1%
15 1
 
3.0%
3 1
 
3.0%
14 1
 
3.0%
11 1
 
3.0%
18 1
 
3.0%
Other values (2) 2
 
6.1%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 4
12.1%
2 1
 
3.0%
3 1
 
3.0%
4 2
6.1%
5 2
6.1%
7 2
6.1%
9 4
12.1%
10 1
 
3.0%
11 1
 
3.0%
14 1
 
3.0%
ValueCountFrequency (%)
18 1
 
3.0%
15 1
 
3.0%
14 1
 
3.0%
11 1
 
3.0%
10 1
 
3.0%
9 4
12.1%
7 2
6.1%
5 2
6.1%
4 2
6.1%
3 1
 
3.0%

2급응급구조사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct16
Distinct (%)76.2%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean11.47619
Minimum0
Maximum24
Zeros4
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:19:01.787373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median11
Q320
95-th percentile23
Maximum24
Range24
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.3163637
Coefficient of variation (CV)0.72466239
Kurtosis-1.3749794
Mean11.47619
Median Absolute Deviation (MAD)8
Skewness-0.0011839036
Sum241
Variance69.161905
MonotonicityNot monotonic
2024-03-16T13:19:01.963439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 4
 
12.1%
7 2
 
6.1%
20 2
 
6.1%
3 1
 
3.0%
13 1
 
3.0%
8 1
 
3.0%
9 1
 
3.0%
6 1
 
3.0%
24 1
 
3.0%
11 1
 
3.0%
Other values (6) 6
18.2%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 4
12.1%
3 1
 
3.0%
6 1
 
3.0%
7 2
6.1%
8 1
 
3.0%
9 1
 
3.0%
11 1
 
3.0%
13 1
 
3.0%
14 1
 
3.0%
16 1
 
3.0%
ValueCountFrequency (%)
24 1
3.0%
23 1
3.0%
22 1
3.0%
21 1
3.0%
20 2
6.1%
17 1
3.0%
16 1
3.0%
14 1
3.0%
13 1
3.0%
11 1
3.0%

영양사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct17
Distinct (%)81.0%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean102.57143
Minimum0
Maximum437
Zeros4
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:19:02.150928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q165
median90
Q3119
95-th percentile189
Maximum437
Range437
Interquartile range (IQR)54

Descriptive statistics

Standard deviation93.693421
Coefficient of variation (CV)0.91344561
Kurtosis7.9247895
Mean102.57143
Median Absolute Deviation (MAD)29
Skewness2.2857385
Sum2154
Variance8778.4571
MonotonicityNot monotonic
2024-03-16T13:19:02.411924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 4
 
12.1%
114 2
 
6.1%
77 1
 
3.0%
437 1
 
3.0%
65 1
 
3.0%
134 1
 
3.0%
59 1
 
3.0%
86 1
 
3.0%
174 1
 
3.0%
101 1
 
3.0%
Other values (7) 7
21.2%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 4
12.1%
59 1
 
3.0%
65 1
 
3.0%
76 1
 
3.0%
77 1
 
3.0%
78 1
 
3.0%
86 1
 
3.0%
90 1
 
3.0%
96 1
 
3.0%
101 1
 
3.0%
ValueCountFrequency (%)
437 1
3.0%
189 1
3.0%
174 1
3.0%
145 1
3.0%
134 1
3.0%
119 1
3.0%
114 2
6.1%
101 1
3.0%
96 1
3.0%
90 1
3.0%

간호조무사
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct8
Distinct (%)38.1%
Missing12
Missing (%)36.4%
Infinite0
Infinite (%)0.0%
Mean544.38095
Minimum0
Maximum6501
Zeros14
Zeros (%)42.4%
Negative0
Negative (%)0.0%
Memory size429.0 B
2024-03-16T13:19:03.017853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3645
95-th percentile1143
Maximum6501
Range6501
Interquartile range (IQR)645

Descriptive statistics

Standard deviation1419.8714
Coefficient of variation (CV)2.6082313
Kurtosis17.435962
Mean544.38095
Median Absolute Deviation (MAD)0
Skewness4.0431995
Sum11432
Variance2016034.8
MonotonicityNot monotonic
2024-03-16T13:19:03.204015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 14
42.4%
1002 1
 
3.0%
591 1
 
3.0%
1143 1
 
3.0%
820 1
 
3.0%
645 1
 
3.0%
730 1
 
3.0%
6501 1
 
3.0%
(Missing) 12
36.4%
ValueCountFrequency (%)
0 14
42.4%
591 1
 
3.0%
645 1
 
3.0%
730 1
 
3.0%
820 1
 
3.0%
1002 1
 
3.0%
1143 1
 
3.0%
6501 1
 
3.0%
ValueCountFrequency (%)
6501 1
 
3.0%
1143 1
 
3.0%
1002 1
 
3.0%
820 1
 
3.0%
730 1
 
3.0%
645 1
 
3.0%
591 1
 
3.0%
0 14
42.4%

Interactions

2024-03-16T13:18:46.900155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:46.798029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:50.962881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:54.259477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:57.182498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:59.515911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:03.572646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:07.223101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:10.455637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:14.579759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:17.700872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:20.625138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:23.597780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2024-03-16T13:17:48.677248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:52.839320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:55.878653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:58.568238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:02.282079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:05.802017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:08.894027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:13.122877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:16.419839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:19.329946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:22.357260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:25.307884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:28.348418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:32.044185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:34.984897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:38.351385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:42.236273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:45.275982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:49.312387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:48.836820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:53.073125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:56.015732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:58.694297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:02.469814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:05.953250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:09.049566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:13.281445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:16.569288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:19.467483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:22.503075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:25.562756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:28.470042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:32.170406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:35.126775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:38.534357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:42.387758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:45.492267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:49.472391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:48.966835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:53.253016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:56.173354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:58.782283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:02.592542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:06.087349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:09.249989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:13.413465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:16.724468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:19.580924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:22.659055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:25.689318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:28.611883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:32.356525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:35.349678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:38.728691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:42.511718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:45.666152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:49.676310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:49.368103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:53.450001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:56.373673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:58.886092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:02.728805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:06.275246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:09.482562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:13.644084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:16.930167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:19.710778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:22.819839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:25.891493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:28.791800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:32.507029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:35.572588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:38.960016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:42.644281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:45.828490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:49.886888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:49.687213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:53.594291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:56.554431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:58.996523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:02.868056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:06.465172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:09.652383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:13.841365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:17.120458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:19.855040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:22.975745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:26.079821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:28.980781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:32.688564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:35.772317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:39.133379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:42.791400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:46.099813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:50.038878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:49.998164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:53.790955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:56.685340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:59.100535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:03.056530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:06.617088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:09.822207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:14.050692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:17.282624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:20.000782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:23.134174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:26.237515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:29.143479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:32.825191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:35.934148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:39.334639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:42.958052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:46.347720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:50.184271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:50.276466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:53.945645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:56.820741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:59.206969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:03.227159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:06.769428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:10.038820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:14.197148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:17.417503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:20.093598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:23.292892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:26.362174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:29.377636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:32.948789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:36.106525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:39.934850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:43.084341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:46.549284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:50.369158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:50.797934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:54.109609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:56.964986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:17:59.337557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:03.381048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:06.965105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:10.183529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:14.366240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:17.552222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:20.172569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:23.426631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:26.502765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:29.504951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:33.094625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:36.248992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:40.178697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:43.219816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:18:46.736668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:19:03.409558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도의사치과의사한의사간호사조산사임상병리사방사선사물리치료사작업치료사치과기공사치과위생사보건의료정보관리사안경사약사한약사1급응급구조사2급응급구조사영양사간호조무사
연도1.0000.0000.0000.0000.3230.3250.0000.0000.6100.0000.0000.4830.2870.7840.4330.5000.3830.0000.2870.631
의사0.0001.0000.9610.9620.7930.7310.8430.7990.8020.8420.8610.8360.8320.8400.8900.0000.6480.6140.9080.000
치과의사0.0000.9611.0000.9150.8860.8560.8920.8420.7550.4450.8850.6820.7480.7970.7690.0000.5750.6270.8650.000
한의사0.0000.9620.9151.0000.7750.7750.7980.7150.8310.5480.7700.8450.8200.7960.7600.0000.3930.4210.8670.000
간호사0.3230.7930.8860.7751.0000.8540.9930.9610.7990.5730.9870.8340.9660.9310.8180.3990.8120.7600.9770.000
조산사0.3250.7310.8560.7750.8541.0000.8770.8010.7740.0000.8770.7510.7340.7810.9140.3180.7710.8870.8770.000
임상병리사0.0000.8430.8920.7980.9930.8771.0000.9770.8510.3930.9920.8770.9420.9530.8560.5460.8760.8310.9910.000
방사선사0.0000.7990.8420.7150.9610.8010.9771.0000.8690.6260.9570.8470.9490.9620.8220.5700.8040.7710.9560.000
물리치료사0.6100.8020.7550.8310.7990.7740.8510.8691.0000.0000.8560.7970.8430.9210.8660.6910.7080.6160.8830.000
작업치료사0.0000.8420.4450.5480.5730.0000.3930.6260.0001.0000.3690.7440.4960.2720.4680.5470.8530.0000.5010.411
치과기공사0.0000.8610.8850.7700.9870.8770.9920.9570.8560.3691.0000.8560.9270.9440.8520.3710.8730.8270.9830.000
치과위생사0.4830.8360.6820.8450.8340.7510.8770.8470.7970.7440.8561.0000.8210.8970.9480.5910.9010.8010.8440.489
보건의료정보관리사0.2870.8320.7480.8200.9660.7340.9420.9490.8430.4960.9270.8211.0000.9600.8120.5850.7730.6400.9520.340
안경사0.7840.8400.7970.7960.9310.7810.9530.9620.9210.2720.9440.8970.9601.0000.8500.4160.8200.8110.9690.700
약사0.4330.8900.7690.7600.8180.9140.8560.8220.8660.4680.8520.9480.8120.8501.0000.5870.8540.6100.8710.000
한약사0.5000.0000.0000.0000.3990.3180.5460.5700.6910.5470.3710.5910.5850.4160.5871.0000.6320.6290.2430.227
1급응급구조사0.3830.6480.5750.3930.8120.7710.8760.8040.7080.8530.8730.9010.7730.8200.8540.6321.0000.8100.8650.647
2급응급구조사0.0000.6140.6270.4210.7600.8870.8310.7710.6160.0000.8270.8010.6400.8110.6100.6290.8101.0000.8520.943
영양사0.2870.9080.8650.8670.9770.8770.9910.9560.8830.5010.9830.8440.9520.9690.8710.2430.8650.8521.0000.222
간호조무사0.6310.0000.0000.0000.0000.0000.0000.0000.0000.4110.0000.4890.3400.7000.0000.2270.6470.9430.2221.000
2024-03-16T13:19:03.862010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도의사치과의사한의사간호사조산사임상병리사방사선사물리치료사작업치료사치과기공사치과위생사보건의료정보관리사안경사약사1급응급구조사2급응급구조사영양사간호조무사한약사
연도1.0000.1600.1360.0810.359-0.0230.3010.3650.4510.6750.2400.5250.4370.4500.4550.5500.6500.4610.7870.212
의사0.1601.0000.9130.9290.8880.8380.8670.8840.7900.5580.9090.7270.7380.8350.8450.7550.6590.8650.0720.000
치과의사0.1360.9131.0000.8390.8890.8620.7720.8740.7180.4250.9040.7180.7360.7180.7620.6500.5410.812-0.0350.000
한의사0.0810.9290.8391.0000.8030.8620.8090.7810.7420.4220.8390.6400.7000.7960.7700.7530.6430.7660.0810.000
간호사0.3590.8880.8890.8031.0000.8010.9100.9670.8980.6640.9290.8590.8850.8970.9040.7910.7720.9560.2070.249
조산사-0.0230.8380.8620.8620.8011.0000.7090.7680.7110.2340.8840.5570.6890.6480.6230.5720.4540.679-0.1670.059
임상병리사0.3010.8670.7720.8090.9100.7091.0000.8910.8590.7080.8420.8070.7850.8890.9050.7790.7880.9120.1900.380
방사선사0.3650.8840.8740.7810.9670.7680.8911.0000.8770.6430.9130.8600.8300.8840.9030.7690.7610.9360.2500.364
물리치료사0.4510.7900.7180.7420.8980.7110.8590.8771.0000.6390.8590.8290.8850.9600.9100.8390.8390.9260.3850.490
작업치료사0.6750.5580.4250.4220.6640.2340.7080.6430.6391.0000.5350.6910.6180.7140.7230.6920.8350.7420.5320.311
치과기공사0.2400.9090.9040.8390.9290.8840.8420.9130.8590.5351.0000.7640.7700.8270.8080.7790.6950.8820.0400.224
치과위생사0.5250.7270.7180.6400.8590.5570.8070.8600.8290.6910.7641.0000.8870.8650.9190.7850.7890.9320.4570.309
보건의료정보관리사0.4370.7380.7360.7000.8850.6890.7850.8300.8850.6180.7700.8871.0000.8760.8600.7020.7250.8850.3650.417
안경사0.4500.8350.7180.7960.8970.6480.8890.8840.9600.7140.8270.8650.8761.0000.9570.8930.8730.9550.4440.263
약사0.4550.8450.7620.7700.9040.6230.9050.9030.9100.7230.8080.9190.8600.9571.0000.8360.8250.9760.4040.230
1급응급구조사0.5500.7550.6500.7530.7910.5720.7790.7690.8390.6920.7790.7850.7020.8930.8361.0000.9150.8580.5260.319
2급응급구조사0.6500.6590.5410.6430.7720.4540.7880.7610.8390.8350.6950.7890.7250.8730.8250.9151.0000.8360.6590.206
영양사0.4610.8650.8120.7660.9560.6790.9120.9360.9260.7420.8820.9320.8850.9550.9760.8580.8361.0000.3450.108
간호조무사0.7870.072-0.0350.0810.207-0.1670.1900.2500.3850.5320.0400.4570.3650.4440.4040.5260.6590.3451.0000.130
한약사0.2120.0000.0000.0000.2490.0590.3800.3640.4900.3110.2240.3090.4170.2630.2300.3190.2060.1080.1301.000

Missing values

2024-03-16T13:18:51.305974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:18:51.850092image/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.
2024-03-16T13:18:52.343194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연도의사치과의사한의사간호사조산사임상병리사방사선사물리치료사작업치료사치과기공사치과위생사보건의료정보관리사안경사약사한약사1급응급구조사2급응급구조사영양사간호조무사
0202346995884035510392587664214176589215241741002
1202224156502414371433933629191003251311101591
22021335706425335524934437251210433609141141143
3202061610519634057745342548371913447941423145820
42019282685826933805332740319973503921119645
5201827545652193355363764022101242961112296730
62017235476120849453737036168842482917766501
72016378759034575825242455161010231549201140
8201565514016246910914181563802916177546218161890
9201431260572084947393314418473265057900
연도의사치과의사한의사간호사조산사임상병리사방사선사물리치료사작업치료사치과기공사치과위생사보건의료정보관리사안경사약사한약사1급응급구조사2급응급구조사영양사간호조무사
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Duplicate rows

Most frequently occurring

연도의사치과의사한의사간호사조산사임상병리사방사선사물리치료사작업치료사치과기공사치과위생사보건의료정보관리사안경사약사한약사1급응급구조사2급응급구조사영양사간호조무사# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>12