Overview

Dataset statistics

Number of variables6
Number of observations916
Missing cells0
Missing cells (%)0.0%
Duplicate rows37
Duplicate rows (%)4.0%
Total size in memory47.5 KiB
Average record size in memory53.1 B

Variable types

Numeric5
Categorical1

Dataset

Description국유림경영정보 경영분석 정보 입니다.- 총괄보고실적연도, 총괄보고구분명, 총괄보고경영계획구수, 총괄보고사업면적, 총괄보고사업투자금액, 총괄보고사업수입금액
Author산림청
URLhttps://www.data.go.kr/data/15120485/fileData.do

Alerts

Dataset has 37 (4.0%) duplicate rowsDuplicates
총괄보고경영계획구수 is highly overall correlated with 총괄보고사업면적High correlation
총괄보고사업면적 is highly overall correlated with 총괄보고경영계획구수 and 3 other fieldsHigh correlation
총괄보고사업투자금액 is highly overall correlated with 총괄보고사업면적 and 1 other fieldsHigh correlation
총괄보고사업수입금액 is highly overall correlated with 총괄보고사업면적 and 1 other fieldsHigh correlation
총괄보고구분명 is highly overall correlated with 총괄보고사업면적High correlation
총괄보고경영계획구수 has 485 (52.9%) zerosZeros
총괄보고사업면적 has 490 (53.5%) zerosZeros
총괄보고사업투자금액 has 696 (76.0%) zerosZeros
총괄보고사업수입금액 has 699 (76.3%) zerosZeros

Reproduction

Analysis started2023-12-12 19:50:11.490588
Analysis finished2023-12-12 19:50:15.612667
Duration4.12 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

총괄보고실적연도
Real number (ℝ)

Distinct12
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2009.8734
Minimum2006
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-12-13T04:50:15.668175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2006
Q12008
median2010
Q32012
95-th percentile2015
Maximum2017
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.7367785
Coefficient of variation (CV)0.0013616671
Kurtosis-0.52792325
Mean2009.8734
Median Absolute Deviation (MAD)2
Skewness0.41258367
Sum1841044
Variance7.4899563
MonotonicityNot monotonic
2023-12-13T04:50:15.825414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2006 112
12.2%
2007 108
11.8%
2008 108
11.8%
2009 108
11.8%
2010 108
11.8%
2011 108
11.8%
2012 108
11.8%
2013 68
7.4%
2015 32
 
3.5%
2014 28
 
3.1%
Other values (2) 28
 
3.1%
ValueCountFrequency (%)
2006 112
12.2%
2007 108
11.8%
2008 108
11.8%
2009 108
11.8%
2010 108
11.8%
2011 108
11.8%
2012 108
11.8%
2013 68
7.4%
2014 28
 
3.1%
2015 32
 
3.5%
ValueCountFrequency (%)
2017 12
 
1.3%
2016 16
 
1.7%
2015 32
 
3.5%
2014 28
 
3.1%
2013 68
7.4%
2012 108
11.8%
2011 108
11.8%
2010 108
11.8%
2009 108
11.8%
2008 108
11.8%

총괄보고구분명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.3 KiB
지방산림청
229 
대학연습림
229 
조림대부국유림
229 
분수국유림
229 

Length

Max length7
Median length5
Mean length5.5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지방산림청
2nd row지방산림청
3rd row지방산림청
4th row지방산림청
5th row지방산림청

Common Values

ValueCountFrequency (%)
지방산림청 229
25.0%
대학연습림 229
25.0%
조림대부국유림 229
25.0%
분수국유림 229
25.0%

Length

2023-12-13T04:50:15.958776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:50:16.092531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지방산림청 229
25.0%
대학연습림 229
25.0%
조림대부국유림 229
25.0%
분수국유림 229
25.0%

총괄보고경영계획구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct54
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.80568
Minimum0
Maximum53736
Zeros485
Zeros (%)52.9%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-12-13T04:50:16.260306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile19
Maximum53736
Range53736
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2329.7413
Coefficient of variation (CV)15.551756
Kurtosis362.51418
Mean149.80568
Median Absolute Deviation (MAD)0
Skewness18.192115
Sum137222
Variance5427694.6
MonotonicityNot monotonic
2023-12-13T04:50:16.445611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 485
52.9%
3 79
 
8.6%
2 74
 
8.1%
1 65
 
7.1%
5 48
 
5.2%
4 44
 
4.8%
6 15
 
1.6%
7 11
 
1.2%
8 8
 
0.9%
12 7
 
0.8%
Other values (44) 80
 
8.7%
ValueCountFrequency (%)
0 485
52.9%
1 65
 
7.1%
2 74
 
8.1%
3 79
 
8.6%
4 44
 
4.8%
5 48
 
5.2%
6 15
 
1.6%
7 11
 
1.2%
8 8
 
0.9%
9 6
 
0.7%
ValueCountFrequency (%)
53736 1
0.1%
29476 1
0.1%
28240 1
0.1%
20774 1
0.1%
1100 1
0.1%
310 1
0.1%
149 1
0.1%
136 1
0.1%
91 1
0.1%
90 1
0.1%

총괄보고사업면적
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct327
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10961.476
Minimum0
Maximum116603
Zeros490
Zeros (%)53.5%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-12-13T04:50:16.665008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32724
95-th percentile61206.5
Maximum116603
Range116603
Interquartile range (IQR)2724

Descriptive statistics

Standard deviation23178.153
Coefficient of variation (CV)2.1145103
Kurtosis5.9440823
Mean10961.476
Median Absolute Deviation (MAD)0
Skewness2.4458386
Sum10040712
Variance5.3722677 × 108
MonotonicityNot monotonic
2023-12-13T04:50:16.863923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 490
53.5%
288.0 9
 
1.0%
1104.0 8
 
0.9%
3513.0 8
 
0.9%
50.0 7
 
0.8%
122.0 7
 
0.8%
2724.0 6
 
0.7%
99.0 5
 
0.5%
20.0 4
 
0.4%
136.0 4
 
0.4%
Other values (317) 368
40.2%
ValueCountFrequency (%)
0.0 490
53.5%
1.0 1
 
0.1%
2.0 1
 
0.1%
3.0 3
 
0.3%
4.0 1
 
0.1%
5.0 1
 
0.1%
6.0 1
 
0.1%
9.0 1
 
0.1%
19.0 4
 
0.4%
20.0 4
 
0.4%
ValueCountFrequency (%)
116603.0 1
0.1%
116474.0 1
0.1%
116464.0 1
0.1%
116264.0 1
0.1%
116040.0 1
0.1%
115969.0 1
0.1%
114216.0 1
0.1%
114063.0 1
0.1%
114008.0 1
0.1%
113923.0 1
0.1%

총괄보고사업투자금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct219
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179422.4
Minimum0
Maximum14200745
Zeros696
Zeros (%)76.0%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-12-13T04:50:17.098819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11699.5
Maximum14200745
Range14200745
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1192495.8
Coefficient of variation (CV)6.6463043
Kurtosis66.641412
Mean179422.4
Median Absolute Deviation (MAD)0
Skewness7.8150416
Sum1.6435092 × 108
Variance1.4220463 × 1012
MonotonicityNot monotonic
2023-12-13T04:50:17.306925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 696
76.0%
3579 2
 
0.2%
9067 2
 
0.2%
2294 1
 
0.1%
1743 1
 
0.1%
4518 1
 
0.1%
12209 1
 
0.1%
6460933 1
 
0.1%
3269 1
 
0.1%
6067503 1
 
0.1%
Other values (209) 209
 
22.8%
ValueCountFrequency (%)
0 696
76.0%
1 1
 
0.1%
4 1
 
0.1%
10 1
 
0.1%
13 1
 
0.1%
264 1
 
0.1%
300 1
 
0.1%
327 1
 
0.1%
328 1
 
0.1%
524 1
 
0.1%
ValueCountFrequency (%)
14200745 1
0.1%
12823150 1
0.1%
12041582 1
0.1%
10378346 1
0.1%
9043005 1
0.1%
8341886 1
0.1%
8263291 1
0.1%
7871745 1
0.1%
7782903 1
0.1%
7407712 1
0.1%

총괄보고사업수입금액
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct214
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean368810.6
Minimum0
Maximum57919759
Zeros699
Zeros (%)76.3%
Negative0
Negative (%)0.0%
Memory size8.2 KiB
2023-12-13T04:50:17.538455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile20817
Maximum57919759
Range57919759
Interquartile range (IQR)0

Descriptive statistics

Standard deviation3267319.7
Coefficient of variation (CV)8.859072
Kurtosis214.58815
Mean368810.6
Median Absolute Deviation (MAD)0
Skewness13.55466
Sum3.3783051 × 108
Variance1.0675378 × 1013
MonotonicityNot monotonic
2023-12-13T04:50:17.730507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 699
76.3%
20817 2
 
0.2%
9523 2
 
0.2%
1929 2
 
0.2%
887 2
 
0.2%
1005 1
 
0.1%
1798 1
 
0.1%
4472 1
 
0.1%
4633 1
 
0.1%
9452901 1
 
0.1%
Other values (204) 204
 
22.3%
ValueCountFrequency (%)
0 699
76.3%
2 1
 
0.1%
11 1
 
0.1%
16 1
 
0.1%
18 1
 
0.1%
42 1
 
0.1%
93 1
 
0.1%
110 1
 
0.1%
112 1
 
0.1%
145 1
 
0.1%
ValueCountFrequency (%)
57919759 1
0.1%
56941397 1
0.1%
27516656 1
0.1%
26875314 1
0.1%
17821181 1
0.1%
15195444 1
0.1%
14693699 1
0.1%
14426483 1
0.1%
12280019 1
0.1%
11613611 1
0.1%

Interactions

2023-12-13T04:50:14.751605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:11.830322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:12.473574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:13.118766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:14.108127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:14.917184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:11.990945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:12.597283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:13.576497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:14.238660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:15.031083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:12.116749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:12.762378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:13.708524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:14.383168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:15.170451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:12.241347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:12.896288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:13.847743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:14.509283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:15.288606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:12.358294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:13.001962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:13.994847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:50:14.632118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:50:17.869779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총괄보고실적연도총괄보고구분명총괄보고경영계획구수총괄보고사업면적총괄보고사업투자금액총괄보고사업수입금액
총괄보고실적연도1.0000.0000.1720.0000.0180.000
총괄보고구분명0.0001.0000.0840.7250.2170.179
총괄보고경영계획구수0.1720.0841.0000.0000.0000.000
총괄보고사업면적0.0000.7250.0001.0000.6570.343
총괄보고사업투자금액0.0180.2170.0000.6571.0000.782
총괄보고사업수입금액0.0000.1790.0000.3430.7821.000
2023-12-13T04:50:18.036205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
총괄보고실적연도총괄보고경영계획구수총괄보고사업면적총괄보고사업투자금액총괄보고사업수입금액총괄보고구분명
총괄보고실적연도1.000-0.195-0.1370.0210.0010.000
총괄보고경영계획구수-0.1951.0000.8460.4940.4890.033
총괄보고사업면적-0.1370.8461.0000.7400.7410.528
총괄보고사업투자금액0.0210.4940.7401.0000.9860.131
총괄보고사업수입금액0.0010.4890.7410.9861.0000.116
총괄보고구분명0.0000.0330.5280.1310.1161.000

Missing values

2023-12-13T04:50:15.456348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:50:15.569855image/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

총괄보고실적연도총괄보고구분명총괄보고경영계획구수총괄보고사업면적총괄보고사업투자금액총괄보고사업수입금액
02006지방산림청312529.022941005
12006지방산림청416307.013578208
22006지방산림청226013.032874247
32006지방산림청814888.02269167
42006지방산림청244748.0319517980
52006지방산림청260077.019144562
62006지방산림청468470.0927118723
72006지방산림청254505.0180110583
82006지방산림청361202.0617332561
92006지방산림청355257.0357920817
총괄보고실적연도총괄보고구분명총괄보고경영계획구수총괄보고사업면적총괄보고사업투자금액총괄보고사업수입금액
9062015분수국유림00.000
9072015분수국유림00.000
9082015분수국유림00.000
9092016분수국유림00.000
9102016분수국유림00.000
9112016분수국유림00.000
9122016분수국유림00.000
9132017분수국유림00.000
9142017분수국유림00.000
9152017분수국유림00.000

Duplicate rows

Most frequently occurring

총괄보고실적연도총괄보고구분명총괄보고경영계획구수총괄보고사업면적총괄보고사업투자금액총괄보고사업수입금액# duplicates
212012조림대부국유림00.00024
122010대학연습림00.00022
162011대학연습림00.00022
192012대학연습림00.00022
02006대학연습림00.00021
92009대학연습림00.00021
142010조림대부국유림00.00021
202012분수국유림00.00021
62008대학연습림00.00020
182011조림대부국유림00.00020