Overview

Dataset statistics

Number of variables11
Number of observations156
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory14.9 KiB
Average record size in memory97.8 B

Variable types

Numeric9
Categorical2

Dataset

Description광업권 설정출원 및 등록현황 - 광종별, 광업권별 개발 광업권 현황에 대한 데이터로 연도, 광종분류, 광종 등의 항목을 제공합니다.
Author산업통상자원부
URLhttps://www.data.go.kr/data/15051135/fileData.do

Alerts

연도 is highly overall correlated with 광업권_채광계획인가 and 5 other fieldsHigh correlation
광업권_탐광계획신고 is highly overall correlated with 광업권_탐광실적인정High correlation
광업권_탐광실적인정 is highly overall correlated with 광업권_탐광계획신고High correlation
광업권_채광계획인가 is highly overall correlated with 연도 and 4 other fieldsHigh correlation
광업권_생산실적인정 is highly overall correlated with 연도 and 4 other fieldsHigh correlation
탐사권_탐사계획신고 is highly overall correlated with 연도 and 5 other fieldsHigh correlation
탐사권_탐사기간연장 is highly overall correlated with 연도 and 3 other fieldsHigh correlation
채굴권_채굴계획인가 is highly overall correlated with 연도 and 5 other fieldsHigh correlation
채굴권_생산실적인정 is highly overall correlated with 연도 and 5 other fieldsHigh correlation
광종분류 is highly overall correlated with 광종High correlation
광종 is highly overall correlated with 광종분류High correlation
광업권_탐광계획신고 has 7 (4.5%) zerosZeros
광업권_탐광실적인정 has 42 (26.9%) zerosZeros
광업권_채광계획인가 has 116 (74.4%) zerosZeros
광업권_생산실적인정 has 108 (69.2%) zerosZeros
탐사권_탐사계획신고 has 62 (39.7%) zerosZeros
탐사권_탐사기간연장 has 108 (69.2%) zerosZeros
채굴권_채굴계획인가 has 63 (40.4%) zerosZeros
채굴권_생산실적인정 has 60 (38.5%) zerosZeros

Reproduction

Analysis started2024-03-14 21:01:13.922769
Analysis finished2024-03-14 21:01:35.272388
Duration21.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.5
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T06:01:35.369884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12014.75
median2017.5
Q32020.25
95-th percentile2023
Maximum2023
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.4631703
Coefficient of variation (CV)0.0017165652
Kurtosis-1.217232
Mean2017.5
Median Absolute Deviation (MAD)3
Skewness0
Sum314730
Variance11.993548
MonotonicityIncreasing
2024-03-15T06:01:35.576909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2012 13
8.3%
2013 13
8.3%
2014 13
8.3%
2015 13
8.3%
2016 13
8.3%
2017 13
8.3%
2018 13
8.3%
2019 13
8.3%
2020 13
8.3%
2021 13
8.3%
Other values (2) 26
16.7%
ValueCountFrequency (%)
2012 13
8.3%
2013 13
8.3%
2014 13
8.3%
2015 13
8.3%
2016 13
8.3%
2017 13
8.3%
2018 13
8.3%
2019 13
8.3%
2020 13
8.3%
2021 13
8.3%
ValueCountFrequency (%)
2023 13
8.3%
2022 13
8.3%
2021 13
8.3%
2020 13
8.3%
2019 13
8.3%
2018 13
8.3%
2017 13
8.3%
2016 13
8.3%
2015 13
8.3%
2014 13
8.3%

광종분류
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
비금속광
108 
금속광
48 

Length

Max length4
Median length4
Mean length3.6923077
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금속광
2nd row금속광
3rd row금속광
4th row금속광
5th row비금속광

Common Values

ValueCountFrequency (%)
비금속광 108
69.2%
금속광 48
30.8%

Length

2024-03-15T06:01:35.989043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T06:01:36.309089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비금속광 108
69.2%
금속광 48
30.8%

광종
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
기타
24 
금,은,동,연,아연
12 
철,망간
12 
우라늄
12 
석탄,흑연
12 
Other values (7)
84 

Length

Max length10
Median length7
Mean length3.7692308
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금,은,동,연,아연
2nd row철,망간
3rd row우라늄
4th row기타
5th row석탄,흑연

Common Values

ValueCountFrequency (%)
기타 24
15.4%
금,은,동,연,아연 12
7.7%
철,망간 12
7.7%
우라늄 12
7.7%
석탄,흑연 12
7.7%
규석,장석 12
7.7%
석회석 12
7.7%
고령토,규조토 12
7.7%
납석 12
7.7%
활석 12
7.7%
Other values (2) 24
15.4%

Length

2024-03-15T06:01:36.703224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 24
15.4%
금,은,동,연,아연 12
7.7%
철,망간 12
7.7%
우라늄 12
7.7%
석탄,흑연 12
7.7%
규석,장석 12
7.7%
석회석 12
7.7%
고령토,규조토 12
7.7%
납석 12
7.7%
활석 12
7.7%
Other values (2) 24
15.4%

광업권_탐광계획신고
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct87
Distinct (%)55.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.576923
Minimum0
Maximum543
Zeros7
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T06:01:37.110623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median23
Q3108.25
95-th percentile309.75
Maximum543
Range543
Interquartile range (IQR)100.25

Descriptive statistics

Standard deviation108.92691
Coefficient of variation (CV)1.4041148
Kurtosis3.9810344
Mean77.576923
Median Absolute Deviation (MAD)19.5
Skewness1.9890085
Sum12102
Variance11865.071
MonotonicityNot monotonic
2024-03-15T06:01:37.439293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 10
 
6.4%
5 9
 
5.8%
10 7
 
4.5%
0 7
 
4.5%
23 6
 
3.8%
2 6
 
3.8%
11 5
 
3.2%
12 4
 
2.6%
3 4
 
2.6%
18 4
 
2.6%
Other values (77) 94
60.3%
ValueCountFrequency (%)
0 7
4.5%
1 2
 
1.3%
2 6
3.8%
3 4
 
2.6%
4 1
 
0.6%
5 9
5.8%
7 2
 
1.3%
8 10
6.4%
9 2
 
1.3%
10 7
4.5%
ValueCountFrequency (%)
543 1
0.6%
518 1
0.6%
445 1
0.6%
397 1
0.6%
362 1
0.6%
330 1
0.6%
326 1
0.6%
312 1
0.6%
309 1
0.6%
298 1
0.6%

광업권_탐광실적인정
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct36
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.705128
Minimum0
Maximum61
Zeros42
Zeros (%)26.9%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T06:01:37.673152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median7
Q313
95-th percentile38
Maximum61
Range61
Interquartile range (IQR)13

Descriptive statistics

Standard deviation13.418917
Coefficient of variation (CV)1.2535036
Kurtosis3.1564398
Mean10.705128
Median Absolute Deviation (MAD)7
Skewness1.8221052
Sum1670
Variance180.06733
MonotonicityNot monotonic
2024-03-15T06:01:38.104660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 42
26.9%
1 11
 
7.1%
7 11
 
7.1%
10 9
 
5.8%
11 9
 
5.8%
13 7
 
4.5%
2 6
 
3.8%
8 5
 
3.2%
6 5
 
3.2%
16 5
 
3.2%
Other values (26) 46
29.5%
ValueCountFrequency (%)
0 42
26.9%
1 11
 
7.1%
2 6
 
3.8%
3 2
 
1.3%
4 3
 
1.9%
5 1
 
0.6%
6 5
 
3.2%
7 11
 
7.1%
8 5
 
3.2%
9 5
 
3.2%
ValueCountFrequency (%)
61 1
0.6%
60 1
0.6%
55 1
0.6%
52 1
0.6%
51 1
0.6%
48 1
0.6%
47 1
0.6%
41 1
0.6%
37 2
1.3%
35 1
0.6%

광업권_채광계획인가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct29
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5576923
Minimum0
Maximum117
Zeros116
Zeros (%)74.4%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T06:01:38.373574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile61.25
Maximum117
Range117
Interquartile range (IQR)1

Descriptive statistics

Standard deviation20.134785
Coefficient of variation (CV)2.6641445
Kurtosis9.6308938
Mean7.5576923
Median Absolute Deviation (MAD)0
Skewness3.1214422
Sum1179
Variance405.40955
MonotonicityNot monotonic
2024-03-15T06:01:38.657498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 116
74.4%
2 4
 
2.6%
3 3
 
1.9%
5 3
 
1.9%
1 2
 
1.3%
14 2
 
1.3%
12 2
 
1.3%
76 2
 
1.3%
26 2
 
1.3%
11 1
 
0.6%
Other values (19) 19
 
12.2%
ValueCountFrequency (%)
0 116
74.4%
1 2
 
1.3%
2 4
 
2.6%
3 3
 
1.9%
4 1
 
0.6%
5 3
 
1.9%
7 1
 
0.6%
9 1
 
0.6%
10 1
 
0.6%
11 1
 
0.6%
ValueCountFrequency (%)
117 1
0.6%
87 1
0.6%
76 2
1.3%
75 1
0.6%
69 1
0.6%
64 1
0.6%
62 1
0.6%
61 1
0.6%
59 1
0.6%
58 1
0.6%

광업권_생산실적인정
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct38
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.371795
Minimum0
Maximum951
Zeros108
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T06:01:38.922229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q332
95-th percentile378.5
Maximum951
Range951
Interquartile range (IQR)32

Descriptive statistics

Standard deviation186.69742
Coefficient of variation (CV)2.9460648
Kurtosis13.822076
Mean63.371795
Median Absolute Deviation (MAD)0
Skewness3.8041758
Sum9886
Variance34855.925
MonotonicityNot monotonic
2024-03-15T06:01:39.148967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 108
69.2%
72 5
 
3.2%
61 3
 
1.9%
74 2
 
1.3%
13 2
 
1.3%
75 2
 
1.3%
35 2
 
1.3%
31 2
 
1.3%
100 1
 
0.6%
263 1
 
0.6%
Other values (28) 28
 
17.9%
ValueCountFrequency (%)
0 108
69.2%
4 1
 
0.6%
5 1
 
0.6%
10 1
 
0.6%
12 1
 
0.6%
13 2
 
1.3%
17 1
 
0.6%
31 2
 
1.3%
35 2
 
1.3%
50 1
 
0.6%
ValueCountFrequency (%)
951 1
0.6%
948 1
0.6%
947 1
0.6%
867 1
0.6%
751 1
0.6%
727 1
0.6%
725 1
0.6%
716 1
0.6%
266 1
0.6%
263 1
0.6%

탐사권_탐사계획신고
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct47
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.519231
Minimum0
Maximum165
Zeros62
Zeros (%)39.7%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T06:01:39.541382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q314.25
95-th percentile82.75
Maximum165
Range165
Interquartile range (IQR)14.25

Descriptive statistics

Standard deviation32.003119
Coefficient of variation (CV)1.937325
Kurtosis6.9938618
Mean16.519231
Median Absolute Deviation (MAD)2
Skewness2.6279207
Sum2577
Variance1024.1996
MonotonicityNot monotonic
2024-03-15T06:01:39.924695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 62
39.7%
3 11
 
7.1%
1 9
 
5.8%
2 9
 
5.8%
4 5
 
3.2%
5 5
 
3.2%
8 3
 
1.9%
13 3
 
1.9%
23 2
 
1.3%
34 2
 
1.3%
Other values (37) 45
28.8%
ValueCountFrequency (%)
0 62
39.7%
1 9
 
5.8%
2 9
 
5.8%
3 11
 
7.1%
4 5
 
3.2%
5 5
 
3.2%
6 1
 
0.6%
7 2
 
1.3%
8 3
 
1.9%
9 1
 
0.6%
ValueCountFrequency (%)
165 1
0.6%
152 1
0.6%
140 1
0.6%
124 1
0.6%
123 1
0.6%
118 1
0.6%
91 1
0.6%
88 1
0.6%
81 1
0.6%
77 1
0.6%

탐사권_탐사기간연장
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8012821
Minimum0
Maximum27
Zeros108
Zeros (%)69.2%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T06:01:40.458411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile12
Maximum27
Range27
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.4510526
Coefficient of variation (CV)2.471047
Kurtosis12.023871
Mean1.8012821
Median Absolute Deviation (MAD)0
Skewness3.3155078
Sum281
Variance19.811869
MonotonicityNot monotonic
2024-03-15T06:01:40.898869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 108
69.2%
1 16
 
10.3%
2 8
 
5.1%
7 4
 
2.6%
4 3
 
1.9%
3 3
 
1.9%
12 3
 
1.9%
10 2
 
1.3%
9 2
 
1.3%
13 1
 
0.6%
Other values (6) 6
 
3.8%
ValueCountFrequency (%)
0 108
69.2%
1 16
 
10.3%
2 8
 
5.1%
3 3
 
1.9%
4 3
 
1.9%
7 4
 
2.6%
9 2
 
1.3%
10 2
 
1.3%
11 1
 
0.6%
12 3
 
1.9%
ValueCountFrequency (%)
27 1
 
0.6%
24 1
 
0.6%
18 1
 
0.6%
17 1
 
0.6%
16 1
 
0.6%
13 1
 
0.6%
12 3
1.9%
11 1
 
0.6%
10 2
1.3%
9 2
1.3%

채굴권_채굴계획인가
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct47
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.852564
Minimum0
Maximum587
Zeros63
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T06:01:41.303491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q314.25
95-th percentile132.5
Maximum587
Range587
Interquartile range (IQR)14.25

Descriptive statistics

Standard deviation90.48841
Coefficient of variation (CV)2.8408517
Kurtosis21.956195
Mean31.852564
Median Absolute Deviation (MAD)3.5
Skewness4.5288616
Sum4969
Variance8188.1523
MonotonicityNot monotonic
2024-03-15T06:01:41.810822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 63
40.4%
5 8
 
5.1%
3 7
 
4.5%
9 6
 
3.8%
6 6
 
3.8%
13 6
 
3.8%
1 5
 
3.2%
4 4
 
2.6%
2 3
 
1.9%
44 3
 
1.9%
Other values (37) 45
28.8%
ValueCountFrequency (%)
0 63
40.4%
1 5
 
3.2%
2 3
 
1.9%
3 7
 
4.5%
4 4
 
2.6%
5 8
 
5.1%
6 6
 
3.8%
7 2
 
1.3%
8 2
 
1.3%
9 6
 
3.8%
ValueCountFrequency (%)
587 1
0.6%
582 1
0.6%
433 1
0.6%
424 1
0.6%
316 1
0.6%
314 1
0.6%
187 1
0.6%
134 1
0.6%
132 1
0.6%
127 1
0.6%

채굴권_생산실적인정
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct65
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.22436
Minimum0
Maximum931
Zeros60
Zeros (%)38.5%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2024-03-15T06:01:42.265701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median41
Q387
95-th percentile613
Maximum931
Range931
Interquartile range (IQR)87

Descriptive statistics

Standard deviation192.38552
Coefficient of variation (CV)1.8111243
Kurtosis5.011869
Mean106.22436
Median Absolute Deviation (MAD)41
Skewness2.4250895
Sum16571
Variance37012.188
MonotonicityNot monotonic
2024-03-15T06:01:42.726511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
38.5%
9 5
 
3.2%
29 4
 
2.6%
61 4
 
2.6%
69 4
 
2.6%
71 4
 
2.6%
87 3
 
1.9%
232 3
 
1.9%
237 2
 
1.3%
41 2
 
1.3%
Other values (55) 65
41.7%
ValueCountFrequency (%)
0 60
38.5%
8 1
 
0.6%
9 5
 
3.2%
13 2
 
1.3%
29 4
 
2.6%
30 2
 
1.3%
31 2
 
1.3%
39 1
 
0.6%
41 2
 
1.3%
44 1
 
0.6%
ValueCountFrequency (%)
931 1
0.6%
797 1
0.6%
690 1
0.6%
687 1
0.6%
675 1
0.6%
652 1
0.6%
650 1
0.6%
622 1
0.6%
610 1
0.6%
600 1
0.6%

Interactions

2024-03-15T06:01:32.696029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:14.707115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:17.995686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:20.110485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:22.402468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:24.124488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:25.768932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:27.866436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:30.436835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:32.942214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:14.973508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:18.243725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:20.262019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:22.551786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:24.367768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:25.919252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:28.013410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:30.700867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:33.186883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:15.256004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:18.488550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:20.457389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:22.734845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:24.563707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:26.083926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:28.229342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:31.034200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:33.436398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:15.731123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:18.738210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:20.713930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:22.972478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:24.709345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:26.345386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:28.489331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:31.371928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:33.693466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:16.186413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:18.989340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:20.965900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:23.129141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:24.858823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:26.607491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:28.777515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:31.621860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:33.923310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:16.504569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:19.224906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:21.206813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:23.270030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:24.987786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:26.851152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:29.005452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:31.859273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:34.157756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:16.790069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:19.514160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:21.668065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:23.435413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:25.212228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:27.101857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:29.314384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:32.112429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:34.298560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:17.138051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:19.752093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:21.913244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:23.622620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:25.455602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:27.348476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:29.755440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:32.363844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:34.447326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:17.652859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:19.929777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:22.166806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:23.875709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:25.638358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:27.614106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:30.147690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T06:01:32.536181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T06:01:43.071909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도광종분류광종광업권_탐광계획신고광업권_탐광실적인정광업권_채광계획인가광업권_생산실적인정탐사권_탐사계획신고탐사권_탐사기간연장채굴권_채굴계획인가채굴권_생산실적인정
연도1.0000.0000.0000.0000.0000.3240.2960.2240.0750.0000.046
광종분류0.0001.0000.9860.4410.4050.0000.1280.0000.2320.0890.394
광종0.0000.9861.0000.6800.7320.3770.7130.6290.5440.6360.780
광업권_탐광계획신고0.0000.4410.6801.0000.7740.7830.9160.6150.5380.4380.609
광업권_탐광실적인정0.0000.4050.7320.7741.0000.5840.4510.7180.8010.1790.532
광업권_채광계획인가0.3240.0000.3770.7830.5841.0000.8340.0000.0000.0000.000
광업권_생산실적인정0.2960.1280.7130.9160.4510.8341.0000.0000.0000.0000.000
탐사권_탐사계획신고0.2240.0000.6290.6150.7180.0000.0001.0000.8700.8610.857
탐사권_탐사기간연장0.0750.2320.5440.5380.8010.0000.0000.8701.0000.3930.586
채굴권_채굴계획인가0.0000.0890.6360.4380.1790.0000.0000.8610.3931.0000.881
채굴권_생산실적인정0.0460.3940.7800.6090.5320.0000.0000.8570.5860.8811.000
2024-03-15T06:01:43.422396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
광종분류광종
광종분류1.0000.868
광종0.8681.000
2024-03-15T06:01:43.964198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도광업권_탐광계획신고광업권_탐광실적인정광업권_채광계획인가광업권_생산실적인정탐사권_탐사계획신고탐사권_탐사기간연장채굴권_채굴계획인가채굴권_생산실적인정광종분류광종
연도1.000-0.375-0.145-0.662-0.7510.5860.5160.6350.6100.0000.000
광업권_탐광계획신고-0.3751.0000.7430.4300.3570.1710.2500.1270.0350.3290.364
광업권_탐광실적인정-0.1450.7431.0000.2300.1190.2750.2370.2470.1570.3960.415
광업권_채광계획인가-0.6620.4300.2301.0000.908-0.624-0.378-0.618-0.6350.0000.167
광업권_생산실적인정-0.7510.3570.1190.9081.000-0.703-0.425-0.697-0.7160.1550.486
탐사권_탐사계획신고0.5860.1710.275-0.624-0.7031.0000.6660.8480.8570.0000.323
탐사권_탐사기간연장0.5160.2500.237-0.378-0.4250.6661.0000.6640.6200.2260.262
채굴권_채굴계획인가0.6350.1270.247-0.618-0.6970.8480.6641.0000.9160.0930.369
채굴권_생산실적인정0.6100.0350.157-0.635-0.7160.8570.6200.9161.0000.2900.463
광종분류0.0000.3290.3960.0000.1550.0000.2260.0930.2901.0000.868
광종0.0000.3640.4150.1670.4860.3230.2620.3690.4630.8681.000

Missing values

2024-03-15T06:01:34.878683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T06:01:35.161720image/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

연도광종분류광종광업권_탐광계획신고광업권_탐광실적인정광업권_채광계획인가광업권_생산실적인정탐사권_탐사계획신고탐사권_탐사기간연장채굴권_채굴계획인가채굴권_생산실적인정
02012금속광금,은,동,연,아연33025751040000
12012금속광철,망간5093100000
22012금속광우라늄630000000
32012금속광기타79626800000
42012비금속광석탄,흑연1110720000
52012비금속광규석,장석32632762590000
62012비금속광석회석15771178670000
72012비금속광고령토,규조토14410697160000
82012비금속광납석1801750000
92012비금속광활석800350000
연도광종분류광종광업권_탐광계획신고광업권_탐광실적인정광업권_채광계획인가광업권_생산실적인정탐사권_탐사계획신고탐사권_탐사기간연장채굴권_채굴계획인가채굴권_생산실적인정
1462023금속광기타5400412363
1472023비금속광석탄,흑연20001312352
1482023비금속광규석,장석6370054350241
1492023비금속광석회석100700342587504
1502023비금속광고령토,규조토17700181105511
1512023비금속광납석100000654
1522023비금속광활석200030031
1532023비금속광운모810021444
1542023비금속광규사000001983
1552023비금속광기타5000101552