Overview

Dataset statistics

Number of variables32
Number of observations10000
Missing cells10445
Missing cells (%)3.3%
Duplicate rows112
Duplicate rows (%)1.1%
Total size in memory2.7 MiB
Average record size in memory280.0 B

Variable types

Numeric12
Categorical14
DateTime2
Text3
Unsupported1

Dataset

Description지방자치단체에서 수행한 전국 공사유림의 산림경영활동 중 숲가꾸기 사업정보를 현행화하여 제공사업기간: 2015~2020년제공 데이터 항목: 사업번호, 사업년도, 사업기간, 사업명, 발주기관, 수행업체명, 숲가꾸기장소(필지주소), 사업종류, 산림기능구분 등
Author산림청
URLhttps://www.data.go.kr/data/15110958/fileData.do

Alerts

사업년도 has constant value ""Constant
Dataset has 112 (1.1%) duplicate rowsDuplicates
사업구분 is highly imbalanced (93.8%)Imbalance
설계업체명 is highly imbalanced (70.6%)Imbalance
지목명 is highly imbalanced (84.0%)Imbalance
소유구분 is highly imbalanced (77.7%)Imbalance
주체구분 is highly imbalanced (85.1%)Imbalance
지적 has 275 (2.8%) missing valuesMissing
기능구분코드 has 168 (1.7%) missing valuesMissing
재적 has 10000 (100.0%) missing valuesMissing
지적 is highly skewed (γ1 = 40.48449176)Skewed
재적 is an unsupported type, check if it needs cleaning or further analysisUnsupported
부번 has 5280 (52.8%) zerosZeros
지목코드 has 297 (3.0%) zerosZeros

Reproduction

Analysis started2024-03-14 15:26:42.377309
Analysis finished2024-03-14 15:26:43.984459
Duration1.61 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사유림산림사업번호
Real number (ℝ)

Distinct115
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.4898875 × 1017
Minimum3.00008 × 1017
Maximum4.89011 × 1017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:26:44.184470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.00008 × 1017
5-th percentile3.61014 × 1017
Q14.28005 × 1017
median4.60009 × 1017
Q34.78009 × 1017
95-th percentile4.87005 × 1017
Maximum4.89011 × 1017
Range1.89003 × 1017
Interquartile range (IQR)5.0004 × 1016

Descriptive statistics

Standard deviation3.6165499 × 1016
Coefficient of variation (CV)0.080548787
Kurtosis1.2118822
Mean4.4898875 × 1017
Median Absolute Deviation (MAD)2.4008 × 1016
Skewness-1.2214649
Sum7.3287081 × 1018
Variance1.3079433 × 1033
MonotonicityNot monotonic
2024-03-15T00:26:44.646053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
485012000000000000 513
 
5.1%
470016000000000000 427
 
4.3%
475007000000000000 392
 
3.9%
462007000000000000 312
 
3.1%
460009000000000000 292
 
2.9%
486010000000000000 289
 
2.9%
481032000000000000 274
 
2.7%
427006000000000000 272
 
2.7%
484017000000000000 264
 
2.6%
478009000000000000 254
 
2.5%
Other values (105) 6711
67.1%
ValueCountFrequency (%)
300008000000000000 5
 
0.1%
310018000000000000 2
 
< 0.1%
314018000000000000 5
 
0.1%
315003000000000000 4
 
< 0.1%
316019000000000000 5
 
0.1%
317015000000000000 1
 
< 0.1%
319012000000000000 1
 
< 0.1%
321014000000000000 17
0.2%
326007000000000000 2
 
< 0.1%
330008000000000000 1
 
< 0.1%
ValueCountFrequency (%)
489011000000000000 204
 
2.0%
488009000000000000 227
2.3%
487005000000000000 127
 
1.3%
486010000000000000 289
2.9%
485012000000000000 513
5.1%
484017000000000000 264
2.6%
483018000000000000 40
 
0.4%
482018000000000000 238
2.4%
481032000000000000 274
2.7%
480024000000000000 117
 
1.2%

사업구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
정책숲가꾸기
9878 
공공산림가꾸기
 
115
기타
 
7

Length

Max length7
Median length6
Mean length6.0087
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정책숲가꾸기 9878
98.8%
공공산림가꾸기 115
 
1.1%
기타 7
 
0.1%

Length

2024-03-15T00:26:45.079975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:26:45.395011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정책숲가꾸기 9878
98.8%
공공산림가꾸기 115
 
1.1%
기타 7
 
0.1%

사업년도
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2015
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2015
2nd row2015
3rd row2015
4th row2015
5th row2015

Common Values

ValueCountFrequency (%)
2015 10000
100.0%

Length

2024-03-15T00:26:45.726265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:26:46.026001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2015 10000
100.0%

시작일
Date

Distinct214
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-01-01 00:00:00
Maximum2015-12-31 00:00:00
2024-03-15T00:26:46.336066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:26:46.773094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

종료일
Date

Distinct245
Distinct (%)2.5%
Missing2
Missing (%)< 0.1%
Memory size156.2 KiB
Minimum2015-01-01 00:00:00
Maximum2016-04-30 00:00:00
2024-03-15T00:26:47.131725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T00:26:47.375628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업명
Text

Distinct912
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T00:26:48.154099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length27
Mean length19.1845
Min length6

Characters and Unicode

Total characters191845
Distinct characters264
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)0.8%

Sample

1st row2015년 어린나무가꾸기(낙안지구)
2nd row2015 조림지가꾸기사업(신덕)
3rd row2015 숲가꾸기 (2차)
4th row2015년 신덕덕대지구 숲가꾸기대장(5)
5th row2015년 큰나무가꾸기사업
ValueCountFrequency (%)
2015년 7238
26.0%
2015 1151
 
4.1%
조림지 998
 
3.6%
2차 883
 
3.2%
숲가꾸기 835
 
3.0%
사업 807
 
2.9%
숲가꾸기사업 798
 
2.9%
1차 420
 
1.5%
풀베기사업 384
 
1.4%
2015년도 336
 
1.2%
Other values (845) 14010
50.3%
2024-03-15T00:26:49.170755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17878
 
9.3%
2 11920
 
6.2%
1 11753
 
6.1%
기 9879
 
5.1%
5 9511
 
5.0%
사 9335
 
4.9%
0 9256
 
4.8%
업 8842
 
4.6%
년 8051
 
4.2%
가 7074
 
3.7%
Other values (254) 88346
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116265
60.6%
Decimal Number 44700
 
23.3%
Space Separator 17878
 
9.3%
Open Punctuation 5828
 
3.0%
Close Punctuation 5828
 
3.0%
Dash Punctuation 627
 
0.3%
Other Punctuation 563
 
0.3%
Math Symbol 117
 
0.1%
Lowercase Letter 24
 
< 0.1%
Connector Punctuation 15
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 9879
 
8.5%
사 9335
 
8.0%
업 8842
 
7.6%
년 8051
 
6.9%
가 7074
 
6.1%
꾸 7011
 
6.0%
지 6789
 
5.8%
숲 5003
 
4.3%
차 4555
 
3.9%
구 4135
 
3.6%
Other values (231) 45591
39.2%
Decimal Number
ValueCountFrequency (%)
2 11920
26.7%
1 11753
26.3%
5 9511
21.3%
0 9256
20.7%
3 1199
 
2.7%
4 437
 
1.0%
6 220
 
0.5%
7 175
 
0.4%
9 137
 
0.3%
8 92
 
0.2%
Other Punctuation
ValueCountFrequency (%)
, 522
92.7%
. 28
 
5.0%
: 13
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 5780
99.2%
[ 48
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 5780
99.2%
] 48
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
a 12
50.0%
h 12
50.0%
Space Separator
ValueCountFrequency (%)
17878
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 627
100.0%
Math Symbol
ValueCountFrequency (%)
~ 117
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116265
60.6%
Common 75556
39.4%
Latin 24
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 9879
 
8.5%
사 9335
 
8.0%
업 8842
 
7.6%
년 8051
 
6.9%
가 7074
 
6.1%
꾸 7011
 
6.0%
지 6789
 
5.8%
숲 5003
 
4.3%
차 4555
 
3.9%
구 4135
 
3.6%
Other values (231) 45591
39.2%
Common
ValueCountFrequency (%)
17878
23.7%
2 11920
15.8%
1 11753
15.6%
5 9511
12.6%
0 9256
12.3%
( 5780
 
7.6%
) 5780
 
7.6%
3 1199
 
1.6%
- 627
 
0.8%
, 522
 
0.7%
Other values (11) 1330
 
1.8%
Latin
ValueCountFrequency (%)
a 12
50.0%
h 12
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116265
60.6%
ASCII 75580
39.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17878
23.7%
2 11920
15.8%
1 11753
15.6%
5 9511
12.6%
0 9256
12.2%
( 5780
 
7.6%
) 5780
 
7.6%
3 1199
 
1.6%
- 627
 
0.8%
, 522
 
0.7%
Other values (13) 1354
 
1.8%
Hangul
ValueCountFrequency (%)
기 9879
 
8.5%
사 9335
 
8.0%
업 8842
 
7.6%
년 8051
 
6.9%
가 7074
 
6.1%
꾸 7011
 
6.0%
지 6789
 
5.8%
숲 5003
 
4.3%
차 4555
 
3.9%
구 4135
 
3.6%
Other values (231) 45591
39.2%

발주구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
직접
8346 
시군구
1654 

Length

Max length3
Median length2
Mean length2.1654
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
직접 8346
83.5%
시군구 1654
 
16.5%

Length

2024-03-15T00:26:49.584856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:26:49.888343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
직접 8346
83.5%
시군구 1654
 
16.5%

기관명
Text

Distinct111
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T00:26:51.008780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length7.781
Min length7

Characters and Unicode

Total characters77810
Distinct characters107
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row전라남도 순천시
2nd row전라북도 임실군
3rd row충청남도 서천군
4th row전라남도 여수시
5th row충청남도 홍성군
ValueCountFrequency (%)
전라남도 2346
 
11.7%
강원도 2181
 
10.9%
전라북도 1895
 
9.5%
충청남도 1869
 
9.3%
경기도 624
 
3.1%
담양군 513
 
2.6%
남원시 427
 
2.1%
충청북도 425
 
2.1%
장수군 392
 
2.0%
인천광역시 313
 
1.6%
Other values (110) 9015
45.1%
2024-03-15T00:26:52.317461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10000
 
12.9%
도 9340
 
12.0%
군 5919
 
7.6%
남 4732
 
6.1%
시 4488
 
5.8%
전 4323
 
5.6%
라 4241
 
5.5%
원 2793
 
3.6%
강 2582
 
3.3%
충 2407
 
3.1%
Other values (97) 26985
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67810
87.1%
Space Separator 10000
 
12.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 9340
 
13.8%
군 5919
 
8.7%
남 4732
 
7.0%
시 4488
 
6.6%
전 4323
 
6.4%
라 4241
 
6.3%
원 2793
 
4.1%
강 2582
 
3.8%
충 2407
 
3.5%
청 2382
 
3.5%
Other values (96) 24603
36.3%
Space Separator
ValueCountFrequency (%)
10000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67810
87.1%
Common 10000
 
12.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 9340
 
13.8%
군 5919
 
8.7%
남 4732
 
7.0%
시 4488
 
6.6%
전 4323
 
6.4%
라 4241
 
6.3%
원 2793
 
4.1%
강 2582
 
3.8%
충 2407
 
3.5%
청 2382
 
3.5%
Other values (96) 24603
36.3%
Common
ValueCountFrequency (%)
10000
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67810
87.1%
ASCII 10000
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10000
100.0%
Hangul
ValueCountFrequency (%)
도 9340
 
13.8%
군 5919
 
8.7%
남 4732
 
7.0%
시 4488
 
6.6%
전 4323
 
6.4%
라 4241
 
6.3%
원 2793
 
4.1%
강 2582
 
3.8%
충 2407
 
3.5%
청 2382
 
3.5%
Other values (96) 24603
36.3%

설계업체명
Categorical

IMBALANCE 

Distinct49
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타
8090 
아름드리ENG
 
187
백령비엔지
 
181
(유)여명산림개발
 
108
산림기술사사무소푸름㈜
 
98
Other values (44)
1336 

Length

Max length13
Median length2
Mean length3.0533
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유한회사거산
2nd row기타
3rd row기타
4th row기타
5th row기타

Common Values

ValueCountFrequency (%)
기타 8090
80.9%
아름드리ENG 187
 
1.9%
백령비엔지 181
 
1.8%
(유)여명산림개발 108
 
1.1%
산림기술사사무소푸름㈜ 98
 
1.0%
유한회사거산 97
 
1.0%
㈜ 만송 엔지니어링 91
 
0.9%
임하엔지니어링 83
 
0.8%
㈜산림공사 77
 
0.8%
㈜석정산림 73
 
0.7%
Other values (39) 915
 
9.2%

Length

2024-03-15T00:26:52.626707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 8090
77.2%
아름드리eng 187
 
1.8%
백령비엔지 181
 
1.7%
㈜ 133
 
1.3%
유)여명산림개발 108
 
1.0%
산림기술사사무소푸름㈜ 98
 
0.9%
유한회사거산 97
 
0.9%
만송 91
 
0.9%
엔지니어링 91
 
0.9%
임하엔지니어링 83
 
0.8%
Other values (50) 1322
 
12.6%

실행주체구분
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
도급·계약(산림조합)
2733 
위탁·대행(산림사업법인)
2405 
기타
1716 
도급·계약(산림사업법인)
1426 
위탁·대행(산림조합)
974 
Other values (6)
746 

Length

Max length13
Median length12
Mean length9.9798
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도급·계약(산림사업법인)
2nd row위탁·대행(산림조합)
3rd row위탁·대행(산림조합)
4th row도급·계약(산림사업법인)
5th row위탁·대행(산림사업법인)

Common Values

ValueCountFrequency (%)
도급·계약(산림조합) 2733
27.3%
위탁·대행(산림사업법인) 2405
24.1%
기타 1716
17.2%
도급·계약(산림사업법인) 1426
14.3%
위탁·대행(산림조합) 974
 
9.7%
지자체직접실행 560
 
5.6%
도급·계약(기타) 59
 
0.6%
산주직접실행(기타) 58
 
0.6%
산주직접실행(대리경영) 48
 
0.5%
위탁·대행(기타) 11
 
0.1%

Length

2024-03-15T00:26:52.882318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도급·계약(산림조합 2733
27.3%
위탁·대행(산림사업법인 2405
24.1%
기타 1716
17.2%
도급·계약(산림사업법인 1426
14.3%
위탁·대행(산림조합 974
 
9.7%
지자체직접실행 560
 
5.6%
도급·계약(기타 59
 
0.6%
산주직접실행(기타 58
 
0.6%
산주직접실행(대리경영 48
 
0.5%
위탁·대행(기타 11
 
0.1%

업체명
Text

Distinct361
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T00:26:53.536491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length12
Mean length5.8994
Min length2

Characters and Unicode

Total characters58994
Distinct characters224
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.1%

Sample

1st row(주)만평
2nd row김제산림조합
3rd row서천산림조합
4th row산림기술개발
5th row(주)유니산림
ValueCountFrequency (%)
기타 2154
 
20.0%
산림조합 495
 
4.6%
고창군 254
 
2.4%
태안군산림조합 223
 
2.1%
영월군산림조합 211
 
2.0%
삼척동해태백산림조합 161
 
1.5%
장수군산림조합 150
 
1.4%
광양시산림조합 144
 
1.3%
완주산림조합 117
 
1.1%
주식회사 110
 
1.0%
Other values (358) 6733
62.6%
2024-03-15T00:26:54.542572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 6195
 
10.5%
림 5289
 
9.0%
조 3988
 
6.8%
합 3907
 
6.6%
) 2806
 
4.8%
( 2793
 
4.7%
주 2666
 
4.5%
기 2201
 
3.7%
타 2154
 
3.7%
군 1993
 
3.4%
Other values (214) 25002
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52499
89.0%
Close Punctuation 2806
 
4.8%
Open Punctuation 2793
 
4.7%
Space Separator 752
 
1.3%
Other Symbol 112
 
0.2%
Decimal Number 32
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 6195
 
11.8%
림 5289
 
10.1%
조 3988
 
7.6%
합 3907
 
7.4%
주 2666
 
5.1%
기 2201
 
4.2%
타 2154
 
4.1%
군 1993
 
3.8%
시 900
 
1.7%
업 816
 
1.6%
Other values (208) 22390
42.6%
Decimal Number
ValueCountFrequency (%)
2 17
53.1%
3 15
46.9%
Close Punctuation
ValueCountFrequency (%)
) 2806
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2793
100.0%
Space Separator
ValueCountFrequency (%)
752
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52611
89.2%
Common 6383
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 6195
 
11.8%
림 5289
 
10.1%
조 3988
 
7.6%
합 3907
 
7.4%
주 2666
 
5.1%
기 2201
 
4.2%
타 2154
 
4.1%
군 1993
 
3.8%
시 900
 
1.7%
업 816
 
1.6%
Other values (209) 22502
42.8%
Common
ValueCountFrequency (%)
) 2806
44.0%
( 2793
43.8%
752
 
11.8%
2 17
 
0.3%
3 15
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52499
89.0%
ASCII 6383
 
10.8%
None 112
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 6195
 
11.8%
림 5289
 
10.1%
조 3988
 
7.6%
합 3907
 
7.4%
주 2666
 
5.1%
기 2201
 
4.2%
타 2154
 
4.1%
군 1993
 
3.8%
시 900
 
1.7%
업 816
 
1.6%
Other values (208) 22390
42.6%
ASCII
ValueCountFrequency (%)
) 2806
44.0%
( 2793
43.8%
752
 
11.8%
2 17
 
0.3%
3 15
 
0.2%
None
ValueCountFrequency (%)
㈜ 112
100.0%

지역코드
Real number (ℝ)

Distinct2852
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3413672 × 109
Minimum1.1110101 × 109
Maximum4.67804 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:26:54.785343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.1110101 × 109
5-th percentile2.9155113 × 109
Q14.276031 × 109
median4.480025 × 109
Q34.579043 × 109
95-th percentile4.673032 × 109
Maximum4.67804 × 109
Range3.5670299 × 109
Interquartile range (IQR)3.03012 × 108

Descriptive statistics

Standard deviation4.623754 × 108
Coefficient of variation (CV)0.10650456
Kurtosis12.754102
Mean4.3413672 × 109
Median Absolute Deviation (MAD)1.43007 × 108
Skewness-3.2646748
Sum4.3413672 × 1013
Variance2.1379101 × 1017
MonotonicityNot monotonic
2024-03-15T00:26:55.137400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4482536021 116
 
1.2%
4482534027 112
 
1.1%
4611015700 59
 
0.6%
4672035031 43
 
0.4%
4275033022 43
 
0.4%
4421036022 41
 
0.4%
4421025025 38
 
0.4%
4215032026 36
 
0.4%
4678025342 29
 
0.3%
4611016100 29
 
0.3%
Other values (2842) 9454
94.5%
ValueCountFrequency (%)
1111010100 2
< 0.1%
1111011100 1
 
< 0.1%
1111014000 1
 
< 0.1%
1111018700 1
 
< 0.1%
1135010500 1
 
< 0.1%
1135010600 1
 
< 0.1%
1147010100 4
< 0.1%
1147010200 1
 
< 0.1%
1150010300 2
< 0.1%
1150011000 2
< 0.1%
ValueCountFrequency (%)
4678040022 4
 
< 0.1%
4678039032 1
 
< 0.1%
4678039030 6
 
0.1%
4678039028 1
 
< 0.1%
4678039026 17
0.2%
4678039021 7
0.1%
4678038029 1
 
< 0.1%
4678038028 4
 
< 0.1%
4678038027 1
 
< 0.1%
4678038026 10
0.1%

시도코드
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.884
Minimum11
Maximum46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:26:55.357730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile29
Q142
median44
Q345
95-th percentile46
Maximum46
Range35
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.6048957
Coefficient of variation (CV)0.10738027
Kurtosis12.867381
Mean42.884
Median Absolute Deviation (MAD)2
Skewness-3.276109
Sum428840
Variance21.205065
MonotonicityNot monotonic
2024-03-15T00:26:55.556284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
46 2346
23.5%
42 2181
21.8%
45 1895
18.9%
44 1869
18.7%
41 624
 
6.2%
43 425
 
4.2%
28 313
 
3.1%
27 105
 
1.1%
29 63
 
0.6%
31 60
 
0.6%
Other values (3) 119
 
1.2%
ValueCountFrequency (%)
11 40
 
0.4%
26 36
 
0.4%
27 105
 
1.1%
28 313
 
3.1%
29 63
 
0.6%
30 43
 
0.4%
31 60
 
0.6%
41 624
 
6.2%
42 2181
21.8%
43 425
 
4.2%
ValueCountFrequency (%)
46 2346
23.5%
45 1895
18.9%
44 1869
18.7%
43 425
 
4.2%
42 2181
21.8%
41 624
 
6.2%
31 60
 
0.6%
30 43
 
0.4%
29 63
 
0.6%
28 313
 
3.1%

시군구코드
Real number (ℝ)

Distinct62
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean529.3614
Minimum110
Maximum830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:26:55.798123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum110
5-th percentile130
Q1190
median710
Q3770
95-th percentile820
Maximum830
Range720
Interquartile range (IQR)580

Descriptive statistics

Standard deviation285.59203
Coefficient of variation (CV)0.53950294
Kurtosis-1.7071184
Mean529.3614
Median Absolute Deviation (MAD)90
Skewness-0.42281066
Sum5293614
Variance81562.808
MonotonicityNot monotonic
2024-03-15T00:26:56.052439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
710 991
 
9.9%
770 629
 
6.3%
150 596
 
6.0%
230 592
 
5.9%
720 577
 
5.8%
800 541
 
5.4%
790 502
 
5.0%
130 487
 
4.9%
740 461
 
4.6%
190 445
 
4.5%
Other values (52) 4179
41.8%
ValueCountFrequency (%)
110 420
4.2%
111 34
 
0.3%
113 24
 
0.2%
115 7
 
0.1%
117 5
 
0.1%
130 487
4.9%
131 77
 
0.8%
133 4
 
< 0.1%
140 60
 
0.6%
150 596
6.0%
ValueCountFrequency (%)
830 177
 
1.8%
825 312
3.1%
820 152
 
1.5%
810 253
2.5%
800 541
5.4%
790 502
5.0%
780 278
2.8%
770 629
6.3%
760 303
3.0%
750 428
4.3%

읍면동코드
Real number (ℝ)

Distinct86
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean310.3757
Minimum101
Maximum470
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:26:56.399882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile109
Q1256
median330
Q3360
95-th percentile400
Maximum470
Range369
Interquartile range (IQR)104

Descriptive statistics

Standard deviation84.853062
Coefficient of variation (CV)0.27338823
Kurtosis0.73833977
Mean310.3757
Median Absolute Deviation (MAD)30
Skewness-1.2312437
Sum3103757
Variance7200.0422
MonotonicityNot monotonic
2024-03-15T00:26:56.858485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
250 973
 
9.7%
310 908
 
9.1%
360 897
 
9.0%
320 856
 
8.6%
350 810
 
8.1%
340 793
 
7.9%
330 783
 
7.8%
370 624
 
6.2%
390 445
 
4.5%
380 398
 
4.0%
Other values (76) 2513
25.1%
ValueCountFrequency (%)
101 94
0.9%
102 70
0.7%
103 42
0.4%
104 34
 
0.3%
105 54
0.5%
106 52
0.5%
107 58
0.6%
108 64
0.6%
109 43
0.4%
110 51
0.5%
ValueCountFrequency (%)
470 23
 
0.2%
460 7
 
0.1%
450 46
 
0.5%
440 23
 
0.2%
430 111
 
1.1%
420 130
 
1.3%
410 153
 
1.5%
400 346
3.5%
395 3
 
< 0.1%
390 445
4.5%

시군구읍면동코드(PNU)
Real number (ℝ)

Distinct208
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.3413679 × 1018
Minimum1.11101 × 1018
Maximum4.67804 × 1018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:26:57.121397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.11101 × 1018
5-th percentile2.91551 × 1018
Q14.27603 × 1018
median4.48003 × 1018
Q34.57904 × 1018
95-th percentile4.67303 × 1018
Maximum4.67804 × 1018
Range3.56703 × 1018
Interquartile range (IQR)3.0301 × 1017

Descriptive statistics

Standard deviation4.6237559 × 1017
Coefficient of variation (CV)0.10650459
Kurtosis12.754097
Mean4.3413679 × 1018
Median Absolute Deviation (MAD)1.43 × 1017
Skewness-3.2646735
Sum8.4899546 × 1018
Variance2.1379119 × 1035
MonotonicityNot monotonic
2024-03-15T00:26:57.474502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4671040000000000000 290
 
2.9%
4574030000000000000 278
 
2.8%
4519040000000000000 224
 
2.2%
4671030000000000000 223
 
2.2%
4275030000000000000 203
 
2.0%
4579040000000000000 203
 
2.0%
4623030000000000000 188
 
1.9%
4672040000000000000 185
 
1.8%
4615040000000000000 176
 
1.8%
4215030000000000000 165
 
1.7%
Other values (198) 7865
78.6%
ValueCountFrequency (%)
1111010000000000000 4
 
< 0.1%
1111020000000000000 1
 
< 0.1%
1135010000000000000 2
 
< 0.1%
1147010000000000000 5
 
0.1%
1150010000000000000 4
 
< 0.1%
1153010000000000000 5
 
0.1%
1154510000000000000 1
 
< 0.1%
1159010000000000000 1
 
< 0.1%
1165010000000000000 17
0.2%
2614010000000000000 2
 
< 0.1%
ValueCountFrequency (%)
4678040000000000000 99
 
1.0%
4678030000000000000 105
 
1.1%
4677050000000000000 10
 
0.1%
4677040000000000000 152
1.5%
4677030000000000000 65
 
0.7%
4673040000000000000 44
 
0.4%
4673030000000000000 83
 
0.8%
4672040000000000000 185
1.8%
4672030000000000000 104
 
1.0%
4671040000000000000 290
2.9%

산구분코드
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2
8721 
1
1279 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 8721
87.2%
1 1279
 
12.8%

Length

2024-03-15T00:26:57.728749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:26:57.889700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 8721
87.2%
1 1279
 
12.8%

산구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반
8721 
산
1279 

Length

Max length2
Median length2
Mean length1.8721
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반 8721
87.2%
산 1279
 
12.8%

Length

2024-03-15T00:26:58.065952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:26:58.229343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반 8721
87.2%
산 1279
 
12.8%

본번
Real number (ℝ)

Distinct795
Distinct (%)8.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.011
Minimum0
Maximum2226
Zeros14
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:26:58.426607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q134
median77
Q3160
95-th percentile521
Maximum2226
Range2226
Interquartile range (IQR)126

Descriptive statistics

Standard deviation204.01451
Coefficient of variation (CV)1.4366106
Kurtosis19.108468
Mean142.011
Median Absolute Deviation (MAD)53
Skewness3.7290815
Sum1420110
Variance41621.921
MonotonicityNot monotonic
2024-03-15T00:26:58.755799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 120
 
1.2%
7 98
 
1.0%
5 98
 
1.0%
11 90
 
0.9%
6 82
 
0.8%
32 81
 
0.8%
14 81
 
0.8%
24 79
 
0.8%
8 79
 
0.8%
18 78
 
0.8%
Other values (785) 9114
91.1%
ValueCountFrequency (%)
0 14
 
0.1%
1 120
1.2%
2 68
0.7%
3 75
0.8%
4 76
0.8%
5 98
1.0%
6 82
0.8%
7 98
1.0%
8 79
0.8%
9 72
0.7%
ValueCountFrequency (%)
2226 4
< 0.1%
2193 1
 
< 0.1%
1856 1
 
< 0.1%
1777 2
< 0.1%
1768 1
 
< 0.1%
1757 1
 
< 0.1%
1730 1
 
< 0.1%
1716 1
 
< 0.1%
1704 1
 
< 0.1%
1696 1
 
< 0.1%

부번
Real number (ℝ)

ZEROS 

Distinct121
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4847
Minimum0
Maximum361
Zeros5280
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:26:58.995891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile14
Maximum361
Range361
Interquartile range (IQR)2

Descriptive statistics

Standard deviation14.463951
Coefficient of variation (CV)4.150702
Kurtosis187.43259
Mean3.4847
Median Absolute Deviation (MAD)0
Skewness11.830833
Sum34847
Variance209.20589
MonotonicityNot monotonic
2024-03-15T00:26:59.248258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5280
52.8%
1 1854
 
18.5%
2 729
 
7.3%
3 439
 
4.4%
4 289
 
2.9%
5 210
 
2.1%
6 171
 
1.7%
7 136
 
1.4%
8 94
 
0.9%
9 77
 
0.8%
Other values (111) 721
 
7.2%
ValueCountFrequency (%)
0 5280
52.8%
1 1854
 
18.5%
2 729
 
7.3%
3 439
 
4.4%
4 289
 
2.9%
5 210
 
2.1%
6 171
 
1.7%
7 136
 
1.4%
8 94
 
0.9%
9 77
 
0.8%
ValueCountFrequency (%)
361 1
< 0.1%
304 1
< 0.1%
292 1
< 0.1%
279 1
< 0.1%
278 1
< 0.1%
263 1
< 0.1%
244 1
< 0.1%
243 1
< 0.1%
242 1
< 0.1%
241 1
< 0.1%

지목코드
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2811
Minimum0
Maximum28
Zeros297
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:26:59.466117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q15
median5
Q35
95-th percentile8
Maximum28
Range28
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.57102
Coefficient of variation (CV)0.48683418
Kurtosis24.298838
Mean5.2811
Median Absolute Deviation (MAD)0
Skewness3.9931168
Sum52811
Variance6.6101438
MonotonicityNot monotonic
2024-03-15T00:26:59.656162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5 9023
90.2%
14 339
 
3.4%
0 297
 
3.0%
1 130
 
1.3%
8 61
 
0.6%
2 33
 
0.3%
22 32
 
0.3%
16 21
 
0.2%
28 18
 
0.2%
17 12
 
0.1%
Other values (12) 34
 
0.3%
ValueCountFrequency (%)
0 297
 
3.0%
1 130
 
1.3%
2 33
 
0.3%
3 3
 
< 0.1%
4 7
 
0.1%
5 9023
90.2%
8 61
 
0.6%
9 1
 
< 0.1%
10 1
 
< 0.1%
13 1
 
< 0.1%
ValueCountFrequency (%)
28 18
0.2%
27 4
 
< 0.1%
25 1
 
< 0.1%
24 3
 
< 0.1%
23 1
 
< 0.1%
22 32
0.3%
21 1
 
< 0.1%
19 2
 
< 0.1%
18 9
 
0.1%
17 12
 
0.1%

지목명
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
임야
9023 
도로
 
339
기타
 
297
전
 
130
대
 
61
Other values (17)
 
150

Length

Max length4
Median length2
Mean length1.9826
Min length1

Unique

Unique6 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
임야 9023
90.2%
도로 339
 
3.4%
기타 297
 
3.0%
전 130
 
1.3%
대 61
 
0.6%
답 33
 
0.3%
공원 32
 
0.3%
제방 21
 
0.2%
잡종지 18
 
0.2%
하천 12
 
0.1%
Other values (12) 34
 
0.3%

Length

2024-03-15T00:27:00.060300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
임야 9023
90.2%
도로 339
 
3.4%
기타 297
 
3.0%
전 130
 
1.3%
대 61
 
0.6%
답 33
 
0.3%
공원 32
 
0.3%
제방 21
 
0.2%
잡종지 18
 
0.2%
하천 12
 
0.1%
Other values (12) 34
 
0.3%

지적
Real number (ℝ)

MISSING  SKEWED 

Distinct4524
Distinct (%)46.5%
Missing275
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean61461.037
Minimum0
Maximum26431593
Zeros23
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:27:00.458466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile636.4
Q16000
median16000
Q337488
95-th percentile159588.4
Maximum26431593
Range26431593
Interquartile range (IQR)31488

Descriptive statistics

Standard deviation467266.05
Coefficient of variation (CV)7.6026386
Kurtosis2130.574
Mean61461.037
Median Absolute Deviation (MAD)12400
Skewness40.484492
Sum5.9770858 × 108
Variance2.1833756 × 1011
MonotonicityNot monotonic
2024-03-15T00:27:00.907047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000.0 41
 
0.4%
12000.0 38
 
0.4%
20000.0 37
 
0.4%
4000.0 35
 
0.4%
15000.0 29
 
0.3%
1000.0 29
 
0.3%
11000.0 26
 
0.3%
300.0 26
 
0.3%
5000.0 26
 
0.3%
900.0 24
 
0.2%
Other values (4514) 9414
94.1%
(Missing) 275
 
2.8%
ValueCountFrequency (%)
0.0 23
0.2%
17.0 2
 
< 0.1%
19.0 1
 
< 0.1%
20.0 1
 
< 0.1%
21.0 1
 
< 0.1%
36.0 1
 
< 0.1%
37.0 1
 
< 0.1%
40.0 1
 
< 0.1%
50.0 2
 
< 0.1%
55.0 1
 
< 0.1%
ValueCountFrequency (%)
26431593.0 2
 
< 0.1%
7873641.0 3
< 0.1%
7860148.0 1
 
< 0.1%
5551691.0 1
 
< 0.1%
5168390.0 1
 
< 0.1%
4863800.0 5
0.1%
4206736.0 1
 
< 0.1%
4028093.0 1
 
< 0.1%
3923306.0 1
 
< 0.1%
3498149.0 2
 
< 0.1%

소유구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
공사유림
9304 
사유림
 
485
공유림
 
125
국유림
 
86

Length

Max length4
Median length4
Mean length3.9304
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공사유림 9304
93.0%
사유림 485
 
4.9%
공유림 125
 
1.2%
국유림 86
 
0.9%

Length

2024-03-15T00:27:01.324497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:27:01.638914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공사유림 9304
93.0%
사유림 485
 
4.9%
공유림 125
 
1.2%
국유림 86
 
0.9%

주체구분
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
기타
9460 
개인
 
268
행정기관
 
207
일반단체
 
45
법인
 
18

Length

Max length4
Median length2
Mean length2.0506
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 9460
94.6%
개인 268
 
2.7%
행정기관 207
 
2.1%
일반단체 45
 
0.4%
법인 18
 
0.2%
사업자 2
 
< 0.1%

Length

2024-03-15T00:27:02.024122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:27:02.379791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 9460
94.6%
개인 268
 
2.7%
행정기관 207
 
2.1%
일반단체 45
 
0.4%
법인 18
 
0.2%
사업자 2
 
< 0.1%

기능구분코드
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)0.1%
Missing168
Missing (%)1.7%
Infinite0
Infinite (%)0.0%
Mean35.846623
Minimum10
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:27:02.709284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile31
Q131
median32
Q332
95-th percentile60
Maximum60
Range50
Interquartile range (IQR)1

Descriptive statistics

Standard deviation11.827451
Coefficient of variation (CV)0.32994602
Kurtosis0.65534745
Mean35.846623
Median Absolute Deviation (MAD)1
Skewness1.0302527
Sum352444
Variance139.88859
MonotonicityNot monotonic
2024-03-15T00:27:03.081063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
31 4316
43.2%
32 3159
31.6%
60 1594
 
15.9%
10 313
 
3.1%
49 245
 
2.5%
20 102
 
1.0%
50 88
 
0.9%
23 15
 
0.1%
(Missing) 168
 
1.7%
ValueCountFrequency (%)
10 313
 
3.1%
20 102
 
1.0%
23 15
 
0.1%
31 4316
43.2%
32 3159
31.6%
49 245
 
2.5%
50 88
 
0.9%
60 1594
 
15.9%
ValueCountFrequency (%)
60 1594
 
15.9%
50 88
 
0.9%
49 245
 
2.5%
32 3159
31.6%
31 4316
43.2%
23 15
 
0.1%
20 102
 
1.0%
10 313
 
3.1%

기능구분
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
목재생산림(경제림육성단지 내)
4316 
목재생산림(경제림육성단지 외)
3159 
생활환경보전림
1594 
수원함양림
 
313
자연환경보전림(기타 )
 
245
Other values (4)
 
373

Length

Max length16
Median length16
Mean length13.7329
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row목재생산림(경제림육성단지 내)
2nd row목재생산림(경제림육성단지 내)
3rd row목재생산림(경제림육성단지 내)
4th row목재생산림(경제림육성단지 외)
5th row생활환경보전림

Common Values

ValueCountFrequency (%)
목재생산림(경제림육성단지 내) 4316
43.2%
목재생산림(경제림육성단지 외) 3159
31.6%
생활환경보전림 1594
 
15.9%
수원함양림 313
 
3.1%
자연환경보전림(기타 ) 245
 
2.5%
<NA> 168
 
1.7%
산지재해방지림 102
 
1.0%
산림휴양림 88
 
0.9%
산지재해방지림(병해충피해예방) 15
 
0.1%

Length

2024-03-15T00:27:03.513591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:27:03.875336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
목재생산림(경제림육성단지 7475
42.2%
내 4316
24.4%
외 3159
17.8%
생활환경보전림 1594
 
9.0%
수원함양림 313
 
1.8%
자연환경보전림(기타 245
 
1.4%
245
 
1.4%
na 168
 
0.9%
산지재해방지림 102
 
0.6%
산림휴양림 88
 
0.5%

임종코드
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
3923 
2
3607 
<NA>
2470 

Length

Max length4
Median length1
Mean length1.741
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row1
3rd row2
4th row<NA>
5th row2

Common Values

ValueCountFrequency (%)
1 3923
39.2%
2 3607
36.1%
<NA> 2470
24.7%

Length

2024-03-15T00:27:04.317512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:27:04.652678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 3923
39.2%
2 3607
36.1%
na 2470
24.7%

임종구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
인공림
3923 
천연림
3607 
<NA>
2470 

Length

Max length4
Median length3
Mean length3.247
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row인공림
3rd row천연림
4th row<NA>
5th row천연림

Common Values

ValueCountFrequency (%)
인공림 3923
39.2%
천연림 3607
36.1%
<NA> 2470
24.7%

Length

2024-03-15T00:27:05.013465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T00:27:05.335466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인공림 3923
39.2%
천연림 3607
36.1%
na 2470
24.7%

사업종코드
Real number (ℝ)

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.8207
Minimum0
Maximum91
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T00:27:05.639468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median5
Q311
95-th percentile91
Maximum91
Range91
Interquartile range (IQR)10

Descriptive statistics

Standard deviation21.011885
Coefficient of variation (CV)1.9418231
Kurtosis10.192239
Mean10.8207
Median Absolute Deviation (MAD)4
Skewness3.4119816
Sum108207
Variance441.4993
MonotonicityNot monotonic
2024-03-15T00:27:05.984470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1 3065
30.6%
5 1841
18.4%
4 1193
 
11.9%
12 1162
 
11.6%
11 1096
 
11.0%
9 652
 
6.5%
91 621
 
6.2%
7 148
 
1.5%
6 115
 
1.1%
10 106
 
1.1%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 3065
30.6%
4 1193
 
11.9%
5 1841
18.4%
6 115
 
1.1%
7 148
 
1.5%
9 652
 
6.5%
10 106
 
1.1%
11 1096
 
11.0%
12 1162
 
11.6%
ValueCountFrequency (%)
91 621
 
6.2%
12 1162
 
11.6%
11 1096
 
11.0%
10 106
 
1.1%
9 652
 
6.5%
7 148
 
1.5%
6 115
 
1.1%
5 1841
18.4%
4 1193
 
11.9%
1 3065
30.6%

사업종
Categorical

Distinct11
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
풀베기
3065 
솎아베기
1841 
어린나무가꾸기
1193 
공익림가꾸기
1162 
덩굴제거
1096 
Other values (6)
1643 

Length

Max length7
Median length6
Mean length4.3636
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row어린나무가꾸기
2nd row풀베기
3rd row솎아베기
4th row솎아베기
5th row솎아베기

Common Values

ValueCountFrequency (%)
풀베기 3065
30.6%
솎아베기 1841
18.4%
어린나무가꾸기 1193
 
11.9%
공익림가꾸기 1162
 
11.6%
덩굴제거 1096
 
11.0%
천연림보육 652
 
6.5%
임내정리 621
 
6.2%
천연림개량 148
 
1.5%
가지치기 115
 
1.1%
산물수집 106
 
1.1%

Length

2024-03-15T00:27:06.382765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
풀베기 3065
30.6%
솎아베기 1841
18.4%
어린나무가꾸기 1193
 
11.9%
공익림가꾸기 1162
 
11.6%
덩굴제거 1096
 
11.0%
천연림보육 652
 
6.5%
임내정리 621
 
6.2%
천연림개량 148
 
1.5%
가지치기 115
 
1.1%
산물수집 106
 
1.1%

재적
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

Sample

사유림산림사업번호사업구분사업년도시작일종료일사업명발주구분기관명설계업체명실행주체구분업체명지역코드시도코드시군구코드읍면동코드시군구읍면동코드(PNU)산구분코드산구분본번부번지목코드지목명지적소유구분주체구분기능구분코드기능구분임종코드임종구분사업종코드사업종재적
30365482018000000000000정책숲가꾸기20152015-05-152015-06-262015년 어린나무가꾸기(낙안지구)직접전라남도 순천시유한회사거산도급·계약(산림사업법인)(주)만평46150380384615038046150400000000000002일반8805임야58000.0공사유림기타31목재생산림(경제림육성단지 내)<NA><NA>4어린나무가꾸기<NA>
26808476007000000000000정책숲가꾸기20152015-07-072015-12-312015 조림지가꾸기사업(신덕)직접전라북도 임실군기타위탁·대행(산림조합)김제산림조합45750360224575036045750400000000000002일반6505임야5200.0공사유림기타31목재생산림(경제림육성단지 내)1인공림1풀베기<NA>
18407458009000000000000정책숲가꾸기20152015-12-312016-04-302015 숲가꾸기 (2차)직접충청남도 서천군기타위탁·대행(산림조합)서천산림조합44770370254477037044770400000000000002일반7635임야36865.0공사유림기타31목재생산림(경제림육성단지 내)2천연림5솎아베기<NA>
29489481032000000000000정책숲가꾸기20152015-06-112015-08-092015년 신덕덕대지구 숲가꾸기대장(5)직접전라남도 여수시기타도급·계약(산림사업법인)산림기술개발46130149004613014946130100000000000002일반148385임야17800.0공사유림기타32목재생산림(경제림육성단지 외)<NA><NA>5솎아베기<NA>
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4670416008000000000000정책숲가꾸기20152015-10-262015-12-142015년 정책숲가꾸기사업(솎아베기)직접경기도 가평군기타도급·계약(산림조합)가평군산림조합41820350284182035041820400000000000002일반13575임야285.0공사유림기타31목재생산림(경제림육성단지 내)1인공림91임내정리<NA>
사유림산림사업번호사업구분사업년도시작일종료일사업명발주구분기관명설계업체명실행주체구분업체명지역코드시도코드시군구코드읍면동코드시군구읍면동코드(PNU)산구분코드산구분본번부번지목코드지목명지적소유구분주체구분기능구분코드기능구분임종코드임종구분사업종코드사업종재적
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25868475007000000000000정책숲가꾸기20152015-07-032015-09-112015년 풀베기사업직접전라북도 장수군기타위탁·대행(산림조합)장수군산림조합45740340294574034045740300000000000002일반8205임야51174.0공사유림기타31목재생산림(경제림육성단지 내)1인공림1풀베기<NA>
35125486010000000000000정책숲가꾸기20152015-08-262015-10-262015년 어린나무가꾸기(겸면지구)직접전라남도 곡성군기타도급·계약(산림조합)곡성군 산림조합46720390214672039046720400000000000002일반4005임야6000.0공사유림기타31목재생산림(경제림육성단지 내)1인공림4어린나무가꾸기<NA>
31129483018000000000000정책숲가꾸기20152015-01-012015-01-012015년 조림지가꾸사업(남평외)시군구전라남도 나주시㈜한백산림기술기타기타46170250304617025046170300000000000002일반2105임야38460.0공사유림기타32목재생산림(경제림육성단지 외)2천연림1풀베기<NA>

Duplicate rows

Most frequently occurring

사유림산림사업번호사업구분사업년도시작일종료일사업명발주구분기관명설계업체명실행주체구분업체명지역코드시도코드시군구코드읍면동코드시군구읍면동코드(PNU)산구분코드산구분본번부번지목코드지목명지적소유구분주체구분기능구분코드기능구분임종코드임종구분사업종코드사업종# duplicates
110488009000000000000정책숲가꾸기20152015-09-092015-10-082015년 어린나무가꾸기사업(포두상대지구)시군구전라남도 고흥군(유)여명산림개발위탁·대행(산림사업법인)(유)아름다운조경46770350264677035046770400000000000002일반10405임야97190.0공사유림기타31목재생산림(경제림육성단지 내)1인공림4어린나무가꾸기5
35452023000000000000정책숲가꾸기20152015-08-032015-09-112015년 조림지풀베기사업 2차직접충청남도 아산시기타기타기타44200400324420040044200400000000000002일반5025임야88000.0공사유림기타31목재생산림(경제림육성단지 내)2천연림1풀베기4
58472011000000000000정책숲가꾸기20152015-09-022015-10-012015년조림지가꾸기사업2차직접전라북도 완주군기타도급·계약(산림조합)완주산림조합45710410214571041045710400000000000002일반605임야5000.0공사유림기타31목재생산림(경제림육성단지 내)1인공림1풀베기4
8424012000000000000정책숲가꾸기20152015-07-222015-08-312015년 조림지풀베기 사업 1차직접강원도 삼척시기타도급·계약(산림조합)삼척동해태백산림조합42230310254223031042230300000000000002일반52405임야5455.0공사유림기타31목재생산림(경제림육성단지 내)1인공림1풀베기3
20433007000000000000정책숲가꾸기20152015-09-072015-11-202015년 숲가꾸기사업 인제지구(수산리)직접강원도 인제군기타기타기타42810310324281031042810300000000000002일반46615임야465992.0공사유림기타32목재생산림(경제림육성단지 외)2천연림5솎아베기3
22443010000000000000정책숲가꾸기20152015-06-182015-09-042015년 풀베기사업(1지구)직접충청북도 옥천군기타위탁·대행(산림조합)옥천군산림조합43730250254373025043730300000000000002일반115임야477700.0공사유림기타10수원함양림1인공림1풀베기3
40466007000000000000정책숲가꾸기20152015-10-192015-11-162015년 덩굴류제거사업(덕진)직접전라북도 전주시기타위탁·대행(산림사업법인)(유)태산임업45113115004511311545113100000000000002일반000기타0.0공사유림기타60생활환경보전림2천연림11덩굴제거3
42470016000000000000공공산림가꾸기20152015-09-012015-10-082015년 조림지 풀베기(2차) 3지구직접전라북도 남원시기타위탁·대행(산림사업법인)(주)에코산림개발45190360224519036045190300000000000002일반1700기타0.0공사유림기타31목재생산림(경제림육성단지 내)1인공림1풀베기3
65475007000000000000정책숲가꾸기20152015-05-192015-09-252015 숲가꾸기사업 3차직접전라북도 장수군기타기타기타45740250244574025045740300000000000002일반7215임야247187.0공사유림기타60생활환경보전림2천연림91임내정리3
68475007000000000000정책숲가꾸기20152015-07-032015-09-112015년 풀베기사업직접전라북도 장수군기타위탁·대행(산림조합)장수군산림조합45740320224574032045740300000000000002일반10705임야138545.0공사유림기타31목재생산림(경제림육성단지 내)1인공림1풀베기3