Overview

Dataset statistics

Number of variables20
Number of observations32
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory183.1 B

Variable types

Text1
Numeric19

Dataset

Description서울특별시 경찰관서별(연도별) 성매매 사범 단속현황 (2004년 ~ 2022년)에 대한 데이터를 제공하니 참고하시기 바랍니다.
URLhttps://www.data.go.kr/data/15114080/fileData.do

Alerts

2005년 is highly overall correlated with 2006년 and 2 other fieldsHigh correlation
2006년 is highly overall correlated with 2005년 and 2 other fieldsHigh correlation
2007년 is highly overall correlated with 2005년 and 2 other fieldsHigh correlation
2008년 is highly overall correlated with 2005년 and 2 other fieldsHigh correlation
2009년 is highly overall correlated with 2011년 and 1 other fieldsHigh correlation
2010년 is highly overall correlated with 2011년High correlation
2011년 is highly overall correlated with 2009년 and 6 other fieldsHigh correlation
2012년 is highly overall correlated with 2011년 and 9 other fieldsHigh correlation
2013년 is highly overall correlated with 2011년 and 10 other fieldsHigh correlation
2014년 is highly overall correlated with 2009년 and 11 other fieldsHigh correlation
2015년 is highly overall correlated with 2011년 and 10 other fieldsHigh correlation
2016년 is highly overall correlated with 2012년 and 8 other fieldsHigh correlation
2017년 is highly overall correlated with 2012년 and 8 other fieldsHigh correlation
2018년 is highly overall correlated with 2012년 and 9 other fieldsHigh correlation
2019년 is highly overall correlated with 2011년 and 10 other fieldsHigh correlation
2020년 is highly overall correlated with 2012년 and 6 other fieldsHigh correlation
2021년 is highly overall correlated with 2013년 and 6 other fieldsHigh correlation
2022년 is highly overall correlated with 2012년 and 8 other fieldsHigh correlation
2004년 has 2 (6.2%) missing valuesMissing
관서명 has unique valuesUnique
2004년 has 8 (25.0%) zerosZeros
2005년 has 1 (3.1%) zerosZeros
2006년 has 1 (3.1%) zerosZeros
2007년 has 1 (3.1%) zerosZeros
2008년 has 1 (3.1%) zerosZeros
2010년 has 1 (3.1%) zerosZeros
2011년 has 1 (3.1%) zerosZeros
2018년 has 2 (6.2%) zerosZeros
2019년 has 1 (3.1%) zerosZeros
2020년 has 2 (6.2%) zerosZeros
2021년 has 2 (6.2%) zerosZeros
2022년 has 1 (3.1%) zerosZeros

Reproduction

Analysis started2023-12-12 03:14:31.611847
Analysis finished2023-12-12 03:15:13.862050
Duration42.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관서명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2023-12-12T12:15:14.013761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length2.15625
Min length2

Characters and Unicode

Total characters69
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row서울청
2nd row중부
3rd row종로
4th row남대문
5th row서대문
ValueCountFrequency (%)
서울청 1
 
3.1%
중부 1
 
3.1%
강북 1
 
3.1%
광진 1
 
3.1%
동작 1
 
3.1%
동대문 1
 
3.1%
혜화 1
 
3.1%
수서 1
 
3.1%
도봉 1
 
3.1%
은평 1
 
3.1%
Other values (22) 22
68.8%
2023-12-12T12:15:14.374672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6
 
8.7%
4
 
5.8%
4
 
5.8%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (35) 39
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
 
8.7%
4
 
5.8%
4
 
5.8%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (35) 39
56.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
 
8.7%
4
 
5.8%
4
 
5.8%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (35) 39
56.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6
 
8.7%
4
 
5.8%
4
 
5.8%
3
 
4.3%
3
 
4.3%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
2
 
2.9%
Other values (35) 39
56.5%

2004년
Real number (ℝ)

MISSING  ZEROS 

Distinct17
Distinct (%)56.7%
Missing2
Missing (%)6.2%
Infinite0
Infinite (%)0.0%
Mean23.2
Minimum0
Maximum456
Zeros8
Zeros (%)25.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:14.485780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median5
Q315.25
95-th percentile36.8
Maximum456
Range456
Interquartile range (IQR)15

Descriptive statistics

Standard deviation82.371907
Coefficient of variation (CV)3.5505132
Kurtosis28.995788
Mean23.2
Median Absolute Deviation (MAD)5
Skewness5.3473399
Sum696
Variance6785.131
MonotonicityNot monotonic
2023-12-12T12:15:14.615542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 8
25.0%
4 3
 
9.4%
6 2
 
6.2%
5 2
 
6.2%
19 2
 
6.2%
1 2
 
6.2%
13 1
 
3.1%
44 1
 
3.1%
2 1
 
3.1%
7 1
 
3.1%
Other values (7) 7
21.9%
(Missing) 2
 
6.2%
ValueCountFrequency (%)
0 8
25.0%
1 2
 
6.2%
2 1
 
3.1%
4 3
 
9.4%
5 2
 
6.2%
6 2
 
6.2%
7 1
 
3.1%
8 1
 
3.1%
10 1
 
3.1%
13 1
 
3.1%
ValueCountFrequency (%)
456 1
3.1%
44 1
3.1%
28 1
3.1%
20 1
3.1%
19 2
6.2%
18 1
3.1%
16 1
3.1%
13 1
3.1%
10 1
3.1%
8 1
3.1%

2005년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.4375
Minimum0
Maximum646
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:14.733903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q125.5
median43
Q365.5
95-th percentile119.8
Maximum646
Range646
Interquartile range (IQR)40

Descriptive statistics

Standard deviation110.06712
Coefficient of variation (CV)1.682019
Kurtosis27.020022
Mean65.4375
Median Absolute Deviation (MAD)20
Skewness5.0182007
Sum2094
Variance12114.77
MonotonicityNot monotonic
2023-12-12T12:15:14.876389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
26 2
 
6.2%
0 1
 
3.1%
16 1
 
3.1%
40 1
 
3.1%
77 1
 
3.1%
7 1
 
3.1%
78 1
 
3.1%
31 1
 
3.1%
39 1
 
3.1%
2 1
 
3.1%
Other values (21) 21
65.6%
ValueCountFrequency (%)
0 1
3.1%
2 1
3.1%
7 1
3.1%
13 1
3.1%
16 1
3.1%
17 1
3.1%
22 1
3.1%
24 1
3.1%
26 2
6.2%
31 1
3.1%
ValueCountFrequency (%)
646 1
3.1%
122 1
3.1%
118 1
3.1%
83 1
3.1%
78 1
3.1%
77 1
3.1%
76 1
3.1%
70 1
3.1%
64 1
3.1%
62 1
3.1%

2006년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65.5
Minimum0
Maximum291
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:15.032202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.55
Q125
median43
Q378.75
95-th percentile221
Maximum291
Range291
Interquartile range (IQR)53.75

Descriptive statistics

Standard deviation68.237252
Coefficient of variation (CV)1.0417901
Kurtosis3.9858795
Mean65.5
Median Absolute Deviation (MAD)26.5
Skewness1.9926233
Sum2096
Variance4656.3226
MonotonicityNot monotonic
2023-12-12T12:15:15.226292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
40 2
 
6.2%
46 2
 
6.2%
25 2
 
6.2%
0 1
 
3.1%
203 1
 
3.1%
29 1
 
3.1%
34 1
 
3.1%
18 1
 
3.1%
61 1
 
3.1%
12 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
0 1
3.1%
6 1
3.1%
7 1
3.1%
11 1
3.1%
12 1
3.1%
14 1
3.1%
18 1
3.1%
25 2
6.2%
26 1
3.1%
27 1
3.1%
ValueCountFrequency (%)
291 1
3.1%
243 1
3.1%
203 1
3.1%
120 1
3.1%
111 1
3.1%
108 1
3.1%
106 1
3.1%
87 1
3.1%
76 1
3.1%
71 1
3.1%

2007년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.3125
Minimum0
Maximum350
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:15.403882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q118.5
median34
Q364.75
95-th percentile165.15
Maximum350
Range350
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation73.04459
Coefficient of variation (CV)1.211102
Kurtosis7.1052838
Mean60.3125
Median Absolute Deviation (MAD)22
Skewness2.4111667
Sum1930
Variance5335.5121
MonotonicityNot monotonic
2023-12-12T12:15:15.587942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
8 2
 
6.2%
19 2
 
6.2%
64 2
 
6.2%
20 2
 
6.2%
31 2
 
6.2%
0 1
 
3.1%
72 1
 
3.1%
43 1
 
3.1%
67 1
 
3.1%
17 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
0 1
3.1%
1 1
3.1%
5 1
3.1%
8 2
6.2%
14 1
3.1%
15 1
3.1%
17 1
3.1%
19 2
6.2%
20 2
6.2%
23 1
3.1%
ValueCountFrequency (%)
350 1
3.1%
169 1
3.1%
162 1
3.1%
158 1
3.1%
151 1
3.1%
144 1
3.1%
72 1
3.1%
67 1
3.1%
64 2
6.2%
58 1
3.1%

2008년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct27
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.3125
Minimum0
Maximum350
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:15.755229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.2
Q118.5
median34
Q364.75
95-th percentile165.15
Maximum350
Range350
Interquartile range (IQR)46.25

Descriptive statistics

Standard deviation73.04459
Coefficient of variation (CV)1.211102
Kurtosis7.1052838
Mean60.3125
Median Absolute Deviation (MAD)22
Skewness2.4111667
Sum1930
Variance5335.5121
MonotonicityNot monotonic
2023-12-12T12:15:15.903534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
8 2
 
6.2%
19 2
 
6.2%
64 2
 
6.2%
20 2
 
6.2%
31 2
 
6.2%
0 1
 
3.1%
72 1
 
3.1%
43 1
 
3.1%
67 1
 
3.1%
17 1
 
3.1%
Other values (17) 17
53.1%
ValueCountFrequency (%)
0 1
3.1%
1 1
3.1%
5 1
3.1%
8 2
6.2%
14 1
3.1%
15 1
3.1%
17 1
3.1%
19 2
6.2%
20 2
6.2%
23 1
3.1%
ValueCountFrequency (%)
350 1
3.1%
169 1
3.1%
162 1
3.1%
158 1
3.1%
151 1
3.1%
144 1
3.1%
72 1
3.1%
67 1
3.1%
64 2
6.2%
58 1
3.1%

2009년
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45.09375
Minimum15
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:16.127149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile19.1
Q126
median37
Q349.5
95-th percentile104.75
Maximum144
Range129
Interquartile range (IQR)23.5

Descriptive statistics

Standard deviation29.207113
Coefficient of variation (CV)0.64769758
Kurtosis3.8717067
Mean45.09375
Median Absolute Deviation (MAD)12
Skewness1.9480878
Sum1443
Variance853.05544
MonotonicityNot monotonic
2023-12-12T12:15:16.304731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
38 2
 
6.2%
26 2
 
6.2%
49 2
 
6.2%
32 2
 
6.2%
35 2
 
6.2%
20 2
 
6.2%
39 2
 
6.2%
28 1
 
3.1%
23 1
 
3.1%
44 1
 
3.1%
Other values (15) 15
46.9%
ValueCountFrequency (%)
15 1
3.1%
18 1
3.1%
20 2
6.2%
22 1
3.1%
23 1
3.1%
25 1
3.1%
26 2
6.2%
28 1
3.1%
32 2
6.2%
34 1
3.1%
ValueCountFrequency (%)
144 1
3.1%
113 1
3.1%
98 1
3.1%
93 1
3.1%
65 1
3.1%
57 1
3.1%
54 1
3.1%
51 1
3.1%
49 2
6.2%
45 1
3.1%

2010년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.9375
Minimum0
Maximum102
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:16.463646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.1
Q16
median14.5
Q326.75
95-th percentile50.15
Maximum102
Range102
Interquartile range (IQR)20.75

Descriptive statistics

Standard deviation20.028911
Coefficient of variation (CV)1.0045849
Kurtosis8.3875497
Mean19.9375
Median Absolute Deviation (MAD)8.5
Skewness2.4958008
Sum638
Variance401.15726
MonotonicityNot monotonic
2023-12-12T12:15:16.612949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
6 4
 
12.5%
9 2
 
6.2%
30 2
 
6.2%
5 2
 
6.2%
0 1
 
3.1%
25 1
 
3.1%
2 1
 
3.1%
12 1
 
3.1%
17 1
 
3.1%
10 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
0 1
 
3.1%
2 1
 
3.1%
4 1
 
3.1%
5 2
6.2%
6 4
12.5%
8 1
 
3.1%
9 2
6.2%
10 1
 
3.1%
11 1
 
3.1%
12 1
 
3.1%
ValueCountFrequency (%)
102 1
3.1%
54 1
3.1%
47 1
3.1%
40 1
3.1%
32 1
3.1%
30 2
6.2%
29 1
3.1%
26 1
3.1%
25 1
3.1%
23 1
3.1%

2011년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28
Minimum0
Maximum121
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:16.750664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q18
median18
Q334
95-th percentile81.9
Maximum121
Range121
Interquartile range (IQR)26

Descriptive statistics

Standard deviation28.563455
Coefficient of variation (CV)1.0201234
Kurtosis2.6294237
Mean28
Median Absolute Deviation (MAD)12
Skewness1.6629812
Sum896
Variance815.87097
MonotonicityNot monotonic
2023-12-12T12:15:16.914954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8 2
 
6.2%
34 2
 
6.2%
7 2
 
6.2%
9 2
 
6.2%
6 2
 
6.2%
18 2
 
6.2%
0 1
 
3.1%
70 1
 
3.1%
13 1
 
3.1%
24 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
0 1
3.1%
1 1
3.1%
2 1
3.1%
6 2
6.2%
7 2
6.2%
8 2
6.2%
9 2
6.2%
11 1
3.1%
13 1
3.1%
14 1
3.1%
ValueCountFrequency (%)
121 1
3.1%
83 1
3.1%
81 1
3.1%
70 1
3.1%
68 1
3.1%
50 1
3.1%
40 1
3.1%
34 2
6.2%
32 1
3.1%
31 1
3.1%

2012년
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.3125
Minimum3
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:17.047112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6.85
Q113.75
median26.5
Q354.5
95-th percentile116.8
Maximum250
Range247
Interquartile range (IQR)40.75

Descriptive statistics

Standard deviation48.814618
Coefficient of variation (CV)1.1015993
Kurtosis9.5784711
Mean44.3125
Median Absolute Deviation (MAD)16.5
Skewness2.6943337
Sum1418
Variance2382.8669
MonotonicityNot monotonic
2023-12-12T12:15:17.191613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10 3
 
9.4%
14 2
 
6.2%
13 2
 
6.2%
15 2
 
6.2%
3 2
 
6.2%
53 2
 
6.2%
52 2
 
6.2%
23 2
 
6.2%
250 1
 
3.1%
41 1
 
3.1%
Other values (13) 13
40.6%
ValueCountFrequency (%)
3 2
6.2%
10 3
9.4%
11 1
 
3.1%
13 2
6.2%
14 2
6.2%
15 2
6.2%
18 1
 
3.1%
19 1
 
3.1%
23 2
6.2%
30 1
 
3.1%
ValueCountFrequency (%)
250 1
3.1%
119 1
3.1%
115 1
3.1%
88 1
3.1%
79 1
3.1%
71 1
3.1%
67 1
3.1%
59 1
3.1%
53 2
6.2%
52 2
6.2%

2013년
Real number (ℝ)

HIGH CORRELATION 

Distinct26
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean45
Minimum4
Maximum297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:17.327058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4.55
Q112
median29.5
Q354.75
95-th percentile134.25
Maximum297
Range293
Interquartile range (IQR)42.75

Descriptive statistics

Standard deviation57.160216
Coefficient of variation (CV)1.270227
Kurtosis12.051776
Mean45
Median Absolute Deviation (MAD)18
Skewness3.1309774
Sum1440
Variance3267.2903
MonotonicityNot monotonic
2023-12-12T12:15:17.474347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
25 2
 
6.2%
9 2
 
6.2%
67 2
 
6.2%
35 2
 
6.2%
4 2
 
6.2%
12 2
 
6.2%
297 1
 
3.1%
40 1
 
3.1%
43 1
 
3.1%
37 1
 
3.1%
Other values (16) 16
50.0%
ValueCountFrequency (%)
4 2
6.2%
5 1
3.1%
8 1
3.1%
9 2
6.2%
11 1
3.1%
12 2
6.2%
13 1
3.1%
14 1
3.1%
15 1
3.1%
16 1
3.1%
ValueCountFrequency (%)
297 1
3.1%
137 1
3.1%
132 1
3.1%
94 1
3.1%
67 2
6.2%
66 1
3.1%
60 1
3.1%
53 1
3.1%
43 1
3.1%
40 1
3.1%

2014년
Real number (ℝ)

HIGH CORRELATION 

Distinct25
Distinct (%)78.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.78125
Minimum1
Maximum392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:17.952454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118
median29.5
Q356.5
95-th percentile131.05
Maximum392
Range391
Interquartile range (IQR)38.5

Descriptive statistics

Standard deviation70.540647
Coefficient of variation (CV)1.4170124
Kurtosis18.658744
Mean49.78125
Median Absolute Deviation (MAD)17.5
Skewness4.0034539
Sum1593
Variance4975.9829
MonotonicityNot monotonic
2023-12-12T12:15:18.091951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
53 2
 
6.2%
12 2
 
6.2%
29 2
 
6.2%
61 2
 
6.2%
21 2
 
6.2%
30 2
 
6.2%
20 2
 
6.2%
392 1
 
3.1%
68 1
 
3.1%
46 1
 
3.1%
Other values (15) 15
46.9%
ValueCountFrequency (%)
1 1
3.1%
4 1
3.1%
5 1
3.1%
9 1
3.1%
12 2
6.2%
13 1
3.1%
15 1
3.1%
19 1
3.1%
20 2
6.2%
21 2
6.2%
ValueCountFrequency (%)
392 1
3.1%
158 1
3.1%
109 1
3.1%
78 1
3.1%
68 1
3.1%
62 1
3.1%
61 2
6.2%
55 1
3.1%
53 2
6.2%
46 1
3.1%

2015년
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.0625
Minimum4
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:18.250766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8.55
Q118.75
median36.5
Q360.25
95-th percentile122.4
Maximum440
Range436
Interquartile range (IQR)41.5

Descriptive statistics

Standard deviation77.088109
Coefficient of variation (CV)1.4259072
Kurtosis21.426426
Mean54.0625
Median Absolute Deviation (MAD)20.5
Skewness4.3325061
Sum1730
Variance5942.5766
MonotonicityNot monotonic
2023-12-12T12:15:18.403536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
9 2
 
6.2%
26 2
 
6.2%
32 2
 
6.2%
39 2
 
6.2%
440 1
 
3.1%
99 1
 
3.1%
45 1
 
3.1%
58 1
 
3.1%
47 1
 
3.1%
13 1
 
3.1%
Other values (18) 18
56.2%
ValueCountFrequency (%)
4 1
3.1%
8 1
3.1%
9 2
6.2%
11 1
3.1%
12 1
3.1%
13 1
3.1%
18 1
3.1%
19 1
3.1%
22 1
3.1%
26 2
6.2%
ValueCountFrequency (%)
440 1
3.1%
151 1
3.1%
99 1
3.1%
80 1
3.1%
76 1
3.1%
73 1
3.1%
71 1
3.1%
67 1
3.1%
58 1
3.1%
56 1
3.1%

2016년
Real number (ℝ)

HIGH CORRELATION 

Distinct28
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83.3125
Minimum9
Maximum881
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:18.585264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile10.55
Q125
median50
Q392
95-th percentile138.65
Maximum881
Range872
Interquartile range (IQR)67

Descriptive statistics

Standard deviation150.86448
Coefficient of variation (CV)1.8108265
Kurtosis27.309273
Mean83.3125
Median Absolute Deviation (MAD)33.5
Skewness5.0537189
Sum2666
Variance22760.093
MonotonicityNot monotonic
2023-12-12T12:15:18.767103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
50 2
 
6.2%
83 2
 
6.2%
25 2
 
6.2%
27 2
 
6.2%
881 1
 
3.1%
114 1
 
3.1%
67 1
 
3.1%
37 1
 
3.1%
13 1
 
3.1%
131 1
 
3.1%
Other values (18) 18
56.2%
ValueCountFrequency (%)
9 1
3.1%
10 1
3.1%
11 1
3.1%
12 1
3.1%
13 1
3.1%
16 1
3.1%
21 1
3.1%
25 2
6.2%
27 2
6.2%
31 1
3.1%
ValueCountFrequency (%)
881 1
3.1%
148 1
3.1%
131 1
3.1%
115 1
3.1%
114 1
3.1%
105 1
3.1%
99 1
3.1%
95 1
3.1%
91 1
3.1%
86 1
3.1%

2017년
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.71875
Minimum1
Maximum472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:18.975395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q122.75
median42.5
Q361
95-th percentile89.15
Maximum472
Range471
Interquartile range (IQR)38.25

Descriptive statistics

Standard deviation80.254126
Coefficient of variation (CV)1.4939686
Kurtosis25.618898
Mean53.71875
Median Absolute Deviation (MAD)20
Skewness4.8273556
Sum1719
Variance6440.7248
MonotonicityNot monotonic
2023-12-12T12:15:19.168142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
43 2
 
6.2%
24 2
 
6.2%
472 1
 
3.1%
23 1
 
3.1%
64 1
 
3.1%
22 1
 
3.1%
25 1
 
3.1%
59 1
 
3.1%
14 1
 
3.1%
60 1
 
3.1%
Other values (20) 20
62.5%
ValueCountFrequency (%)
1 1
3.1%
4 1
3.1%
5 1
3.1%
9 1
3.1%
12 1
3.1%
14 1
3.1%
18 1
3.1%
22 1
3.1%
23 1
3.1%
24 2
6.2%
ValueCountFrequency (%)
472 1
3.1%
104 1
3.1%
77 1
3.1%
76 1
3.1%
69 1
3.1%
66 1
3.1%
65 1
3.1%
64 1
3.1%
60 1
3.1%
59 1
3.1%

2018년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.3125
Minimum0
Maximum319
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:19.354906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q115.75
median28.5
Q347
95-th percentile92.3
Maximum319
Range319
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation56.364847
Coefficient of variation (CV)1.3643533
Kurtosis19.911772
Mean41.3125
Median Absolute Deviation (MAD)15
Skewness4.1076056
Sum1322
Variance3176.996
MonotonicityNot monotonic
2023-12-12T12:15:19.558530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 2
 
6.2%
40 2
 
6.2%
17 2
 
6.2%
319 1
 
3.1%
77 1
 
3.1%
43 1
 
3.1%
50 1
 
3.1%
60 1
 
3.1%
44 1
 
3.1%
19 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
0 2
6.2%
2 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
14 1
3.1%
15 1
3.1%
16 1
3.1%
17 2
6.2%
19 1
3.1%
ValueCountFrequency (%)
319 1
3.1%
111 1
3.1%
77 1
3.1%
66 1
3.1%
60 1
3.1%
57 1
3.1%
51 1
3.1%
50 1
3.1%
46 1
3.1%
44 1
3.1%

2019년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.78125
Minimum0
Maximum225
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:19.742539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.65
Q19.5
median22.5
Q340.25
95-th percentile57.35
Maximum225
Range225
Interquartile range (IQR)30.75

Descriptive statistics

Standard deviation39.463118
Coefficient of variation (CV)1.2820505
Kurtosis19.754574
Mean30.78125
Median Absolute Deviation (MAD)15
Skewness4.0429451
Sum985
Variance1557.3377
MonotonicityNot monotonic
2023-12-12T12:15:19.943483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
5 2
 
6.2%
31 2
 
6.2%
6 2
 
6.2%
225 1
 
3.1%
20 1
 
3.1%
17 1
 
3.1%
25 1
 
3.1%
21 1
 
3.1%
48 1
 
3.1%
11 1
 
3.1%
Other values (19) 19
59.4%
ValueCountFrequency (%)
0 1
3.1%
2 1
3.1%
5 2
6.2%
6 2
6.2%
7 1
3.1%
8 1
3.1%
10 1
3.1%
11 1
3.1%
14 1
3.1%
15 1
3.1%
ValueCountFrequency (%)
225 1
3.1%
59 1
3.1%
56 1
3.1%
52 1
3.1%
51 1
3.1%
50 1
3.1%
48 1
3.1%
41 1
3.1%
40 1
3.1%
31 2
6.2%

2020년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct23
Distinct (%)71.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.34375
Minimum0
Maximum168
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:20.131341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1
Q15.75
median14.5
Q321.25
95-th percentile34.9
Maximum168
Range168
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation28.926614
Coefficient of variation (CV)1.4953985
Kurtosis24.048186
Mean19.34375
Median Absolute Deviation (MAD)8
Skewness4.6218349
Sum619
Variance836.74899
MonotonicityNot monotonic
2023-12-12T12:15:20.304089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
11 3
 
9.4%
18 3
 
9.4%
16 2
 
6.2%
2 2
 
6.2%
0 2
 
6.2%
4 2
 
6.2%
13 2
 
6.2%
168 1
 
3.1%
5 1
 
3.1%
22 1
 
3.1%
Other values (13) 13
40.6%
ValueCountFrequency (%)
0 2
6.2%
2 2
6.2%
3 1
 
3.1%
4 2
6.2%
5 1
 
3.1%
6 1
 
3.1%
8 1
 
3.1%
11 3
9.4%
13 2
6.2%
14 1
 
3.1%
ValueCountFrequency (%)
168 1
 
3.1%
36 1
 
3.1%
34 1
 
3.1%
33 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
23 1
 
3.1%
22 1
 
3.1%
21 1
 
3.1%
18 3
9.4%

2021년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct22
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.59375
Minimum0
Maximum74
Zeros2
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:20.488801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.55
Q17
median11
Q316.25
95-th percentile38.6
Maximum74
Range74
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation14.31187
Coefficient of variation (CV)0.98068492
Kurtosis9.2784589
Mean14.59375
Median Absolute Deviation (MAD)4.5
Skewness2.6710211
Sum467
Variance204.82964
MonotonicityNot monotonic
2023-12-12T12:15:20.704114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
14 3
 
9.4%
10 3
 
9.4%
11 3
 
9.4%
0 2
 
6.2%
7 2
 
6.2%
21 2
 
6.2%
15 2
 
6.2%
74 1
 
3.1%
5 1
 
3.1%
1 1
 
3.1%
Other values (12) 12
37.5%
ValueCountFrequency (%)
0 2
6.2%
1 1
 
3.1%
2 1
 
3.1%
3 1
 
3.1%
5 1
 
3.1%
6 1
 
3.1%
7 2
6.2%
8 1
 
3.1%
9 1
 
3.1%
10 3
9.4%
ValueCountFrequency (%)
74 1
 
3.1%
43 1
 
3.1%
35 1
 
3.1%
26 1
 
3.1%
21 2
6.2%
18 1
 
3.1%
17 1
 
3.1%
16 1
 
3.1%
15 2
6.2%
14 3
9.4%

2022년
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct20
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.9375
Minimum0
Maximum46
Zeros1
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size420.0 B
2023-12-12T12:15:20.888708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.1
Q16
median8
Q318.25
95-th percentile37.5
Maximum46
Range46
Interquartile range (IQR)12.25

Descriptive statistics

Standard deviation11.810158
Coefficient of variation (CV)0.91286248
Kurtosis1.5613702
Mean12.9375
Median Absolute Deviation (MAD)3
Skewness1.5059253
Sum414
Variance139.47984
MonotonicityNot monotonic
2023-12-12T12:15:21.059507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
7 4
 
12.5%
6 3
 
9.4%
8 3
 
9.4%
10 3
 
9.4%
3 2
 
6.2%
9 2
 
6.2%
5 2
 
6.2%
46 1
 
3.1%
18 1
 
3.1%
0 1
 
3.1%
Other values (10) 10
31.2%
ValueCountFrequency (%)
0 1
 
3.1%
1 1
 
3.1%
3 2
6.2%
4 1
 
3.1%
5 2
6.2%
6 3
9.4%
7 4
12.5%
8 3
9.4%
9 2
6.2%
10 3
9.4%
ValueCountFrequency (%)
46 1
3.1%
43 1
3.1%
33 1
3.1%
30 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
19 1
3.1%
18 1
3.1%
11 1
3.1%

Interactions

2023-12-12T12:15:11.463960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:32.230756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:34.301325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:36.265371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:38.270249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:40.412684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:42.838778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:45.256584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:46.987341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:49.236608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:51.245675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:53.084834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:55.451807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:57.262234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:59.529881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:01.789999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:04.277541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.385959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:08.695353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:11.588960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:32.317506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:34.446469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:36.362695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:38.394345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
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2023-12-12T12:15:00.875539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:03.489755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:05.506233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:07.735393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:10.501350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:12.763340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:33.288338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:35.609869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:37.420291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:39.657921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:42.012736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:44.387031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:46.406271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:48.462095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:50.518945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:52.453700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:54.819976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:56.452015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:58.706370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:00.979165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:03.586952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:05.618017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:07.845553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:10.597044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:12.838338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:33.366521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:35.697415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:37.501456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:39.766790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:42.119435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:44.527566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:46.473550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:48.573202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:50.603966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:52.533685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:54.910612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:56.547612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:58.808011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:01.081310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:03.680642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:05.760817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:07.947076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:10.703573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:12.916421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:33.454993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:35.780527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:37.616941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:39.875473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:42.232749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:44.661697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:46.547012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:48.662339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:50.725777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:52.613180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:54.989362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:56.634631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:58.924539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:01.193165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:03.775276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:05.870456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:08.055447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:10.826644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:13.018680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:33.546668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:35.879914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:37.721995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:39.981437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:42.362699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:44.803362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:46.647853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:48.780124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:50.852971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:52.705195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:55.076859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:56.778618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:59.048554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:01.310208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:03.875172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:05.969017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:08.174709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:10.954541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:13.104740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:33.961153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:35.988040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:37.821257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:40.081099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:42.469909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:44.910762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:46.728958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:48.885039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:50.955611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:52.787621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:55.155449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:56.877803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:59.170113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:01.432765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:03.954273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.070613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:08.307543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:11.069688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:13.194839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:34.065697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:36.082732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:37.942910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:40.188273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:42.583535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:45.022615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:46.821088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:49.020377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:51.055725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:52.898226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:55.255679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:57.037589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:59.290745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:01.558752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:04.067356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.171863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:08.449514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:11.211732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:13.307027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:34.189117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:36.175468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:38.125232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:40.313294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:42.740523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:45.167449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:46.913309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:49.135958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:51.154796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:52.994013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:55.361565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:57.145081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:14:59.411459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:01.685526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:04.182460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:06.284417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:08.592871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:15:11.340980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:15:21.201539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관서명2004년2005년2006년2007년2008년2009년2010년2011년2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년2022년
관서명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2004년1.0001.0001.0001.0000.1740.1740.8120.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.540
2005년1.0001.0001.0000.7870.2250.2250.4770.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.0000.342
2006년1.0001.0000.7871.0000.2780.2780.4480.6780.0000.0000.0000.0000.0000.0000.0000.0000.0000.6350.0000.000
2007년1.0000.1740.2250.2781.0001.0000.7430.6720.4920.4680.2080.0000.8060.0000.0000.0000.0000.0000.0000.000
2008년1.0000.1740.2250.2781.0001.0000.7430.6720.4920.4680.2080.0000.8060.0000.0000.0000.0000.0000.0000.000
2009년1.0000.8120.4770.4480.7430.7431.0000.8680.7940.5770.4260.6910.3370.0000.0000.0000.2540.1150.0000.000
2010년1.0000.0000.0000.6780.6720.6720.8681.0000.7720.6930.5150.6510.6140.0000.0000.0000.3880.4680.0000.000
2011년1.0000.0000.0000.0000.4920.4920.7940.7721.0000.7350.6910.8490.7790.0000.0000.6970.8180.5200.0000.441
2012년1.0000.0000.0000.0000.4680.4680.5770.6930.7351.0000.9080.8030.8000.9730.8560.8130.8090.7490.5780.667
2013년1.0000.0000.0000.0000.2080.2080.4260.5150.6910.9081.0000.8490.8140.9510.8110.8780.7940.7400.7930.793
2014년1.0000.0000.0000.0000.0000.0000.6910.6510.8490.8030.8491.0000.9780.7250.6370.9700.7470.6640.6270.513
2015년1.0000.0000.0000.0000.8060.8060.3370.6140.7790.8000.8140.9781.0000.7640.6410.9670.7140.6420.6610.433
2016년1.0000.0000.0000.0000.0000.0000.0000.0000.0000.9730.9510.7250.7641.0000.6880.7370.6800.6600.7590.702
2017년1.0000.0000.0000.0000.0000.0000.0000.0000.0000.8560.8110.6370.6410.6881.0000.6850.9150.8960.8730.702
2018년1.0000.0000.0000.0000.0000.0000.0000.0000.6970.8130.8780.9700.9670.7370.6851.0000.7680.6670.7200.775
2019년1.0000.0000.0000.0000.0000.0000.2540.3880.8180.8090.7940.7470.7140.6800.9150.7681.0000.8890.7860.661
2020년1.0000.0000.0000.6350.0000.0000.1150.4680.5200.7490.7400.6640.6420.6600.8960.6670.8891.0000.6670.419
2021년1.0000.0000.0000.0000.0000.0000.0000.0000.0000.5780.7930.6270.6610.7590.8730.7200.7860.6671.0000.816
2022년1.0000.5400.3420.0000.0000.0000.0000.0000.4410.6670.7930.5130.4330.7020.7020.7750.6610.4190.8161.000
2023-12-12T12:15:21.428620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2004년2005년2006년2007년2008년2009년2010년2011년2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년2022년
2004년1.0000.4120.3500.4870.4870.0330.4110.208-0.114-0.129-0.041-0.109-0.266-0.224-0.226-0.2680.074-0.172-0.140
2005년0.4121.0000.5200.5190.5190.1330.2680.108-0.115-0.031-0.077-0.156-0.1320.002-0.042-0.182-0.020-0.0390.073
2006년0.3500.5201.0000.5440.5440.1060.2750.038-0.259-0.185-0.181-0.359-0.258-0.342-0.365-0.3170.056-0.156-0.173
2007년0.4870.5190.5441.0001.0000.2130.3060.039-0.191-0.183-0.245-0.233-0.294-0.286-0.211-0.3550.024-0.228-0.272
2008년0.4870.5190.5441.0001.0000.2130.3060.039-0.191-0.183-0.245-0.233-0.294-0.286-0.211-0.3550.024-0.228-0.272
2009년0.0330.1330.1060.2130.2131.0000.4440.5270.4110.4510.5290.3960.3490.1600.2520.3150.3890.2100.114
2010년0.4110.2680.2750.3060.3060.4441.0000.8040.3490.4460.4150.3920.1330.0660.1290.2800.490-0.0010.111
2011년0.2080.1080.0380.0390.0390.5270.8041.0000.5640.5880.5560.5450.2780.3050.3530.5240.4830.1460.177
2012년-0.114-0.115-0.259-0.191-0.1910.4110.3490.5641.0000.8430.7480.7970.7190.6770.7780.7010.6390.4350.527
2013년-0.129-0.031-0.185-0.183-0.1830.4510.4460.5880.8431.0000.8830.8830.7380.6860.8200.8320.6850.5460.549
2014년-0.041-0.077-0.181-0.245-0.2450.5290.4150.5560.7480.8831.0000.9140.7700.6820.7380.8240.6470.6680.591
2015년-0.109-0.156-0.359-0.233-0.2330.3960.3920.5450.7970.8830.9141.0000.8160.7070.7860.8140.5630.5740.559
2016년-0.266-0.132-0.258-0.294-0.2940.3490.1330.2780.7190.7380.7700.8161.0000.7140.6850.6670.5310.4920.603
2017년-0.2240.002-0.342-0.286-0.2860.1600.0660.3050.6770.6860.6820.7070.7141.0000.7340.7510.3850.6110.683
2018년-0.226-0.042-0.365-0.211-0.2110.2520.1290.3530.7780.8200.7380.7860.6850.7341.0000.8400.5790.6650.625
2019년-0.268-0.182-0.317-0.355-0.3550.3150.2800.5240.7010.8320.8240.8140.6670.7510.8401.0000.7010.6450.581
2020년0.074-0.0200.0560.0240.0240.3890.4900.4830.6390.6850.6470.5630.5310.3850.5790.7011.0000.4550.443
2021년-0.172-0.039-0.156-0.228-0.2280.210-0.0010.1460.4350.5460.6680.5740.4920.6110.6650.6450.4551.0000.706
2022년-0.1400.073-0.173-0.272-0.2720.1140.1110.1770.5270.5490.5910.5590.6030.6830.6250.5810.4430.7061.000

Missing values

2023-12-12T12:15:13.448876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:15:13.738529image/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

관서명2004년2005년2006년2007년2008년2009년2010년2011년2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년2022년
0서울청0000038002502973924408814723192251687446
1중부616108169169206623121519382417818157
2종로01314886541414255337314823272261
3남대문43876191923148149129161802003
4서대문11221116464456112312292611566251917149
5용산197029114414493473413271981012103473
6성북17627202022881055911565326
7마포<NA>5710619192840506767626783653231182126
8영등포138371585857266811960614071695741281430
9성동6526162162251571511122625422056139
관서명2004년2005년2006년2007년2008년2009년2010년2011년2012년2013년2014년2015년2016년2017년2018년2019년2020년2021년2022년
22방배44524340402661108149400034
23은평1826255520593491127127641110
24도봉02671151695213203599351714888
25수서021288491740881321581511316011150161825
26혜화193961350350144308342152132131419111170
27동대문431181717181281533221392559444815107
28동작0784664643222153513133725602113117
29광진073431314430243035454767225031221410
30강북8774067673591318374658504343255178
31금천5402943433991853433045114644017418