Overview

Dataset statistics

Number of variables21
Number of observations68
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.6 KiB
Average record size in memory173.9 B

Variable types

Text1
Categorical13
DateTime4
Numeric3

Dataset

Description관내 입목벌채 허가 현황에 대한 데이터로 관리번호, 업무구분, 허가일자, 벌채목적, 작업종, 수종, 벌채면적 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3080438/fileData.do

Alerts

시도 has constant value ""Constant
시군구 has constant value ""Constant
벌채목적 has constant value ""Constant
작업종 has constant value ""Constant
관리기관명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
업무구분 is highly imbalanced (68.1%)Imbalance
부번2 is highly imbalanced (88.9%)Imbalance
지목 is highly imbalanced (80.9%)Imbalance
지적 has 2 (2.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:02:52.753807
Analysis finished2023-12-12 18:02:53.112126
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리번호
Text

Distinct56
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-13T03:02:53.285582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length9.2941176
Min length9

Characters and Unicode

Total characters632
Distinct characters17
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique50 ?
Unique (%)73.5%

Sample

1st row2019-그린벨트-1
2nd row2019-일반-1
3rd row2019-일반-10
4th row2019-일반-11
5th row2019-일반-11
ValueCountFrequency (%)
2019-일반-2 7
 
10.3%
2019-일반-3 3
 
4.4%
2023-일반-3 2
 
2.9%
2020-일반-10 2
 
2.9%
2019-일반-8 2
 
2.9%
2019-일반-11 2
 
2.9%
2021-일반-9 1
 
1.5%
2021-일반-13 1
 
1.5%
2021-일반-12 1
 
1.5%
2021-일반-11 1
 
1.5%
Other values (46) 46
67.6%
2023-12-13T03:02:53.732267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 136
21.5%
- 136
21.5%
0 84
13.3%
1 68
10.8%
일 67
10.6%
반 67
10.6%
9 31
 
4.9%
3 15
 
2.4%
6 5
 
0.8%
4 5
 
0.8%
Other values (7) 18
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 358
56.6%
Other Letter 138
 
21.8%
Dash Punctuation 136
 
21.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 136
38.0%
0 84
23.5%
1 68
19.0%
9 31
 
8.7%
3 15
 
4.2%
6 5
 
1.4%
4 5
 
1.4%
8 5
 
1.4%
5 5
 
1.4%
7 4
 
1.1%
Other Letter
ValueCountFrequency (%)
일 67
48.6%
반 67
48.6%
그 1
 
0.7%
린 1
 
0.7%
벨 1
 
0.7%
트 1
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 494
78.2%
Hangul 138
 
21.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 136
27.5%
- 136
27.5%
0 84
17.0%
1 68
13.8%
9 31
 
6.3%
3 15
 
3.0%
6 5
 
1.0%
4 5
 
1.0%
8 5
 
1.0%
5 5
 
1.0%
Hangul
ValueCountFrequency (%)
일 67
48.6%
반 67
48.6%
그 1
 
0.7%
린 1
 
0.7%
벨 1
 
0.7%
트 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 494
78.2%
Hangul 138
 
21.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 136
27.5%
- 136
27.5%
0 84
17.0%
1 68
13.8%
9 31
 
6.3%
3 15
 
3.0%
6 5
 
1.0%
4 5
 
1.0%
8 5
 
1.0%
5 5
 
1.0%
Hangul
ValueCountFrequency (%)
일 67
48.6%
반 67
48.6%
그 1
 
0.7%
린 1
 
0.7%
벨 1
 
0.7%
트 1
 
0.7%

업무구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
입목벌채허가
61 
입목벌채허가변경
 
3
산림보호구역시업허가
 
2
영림계획시업신고
 
2

Length

Max length10
Median length6
Mean length6.2647059
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
입목벌채허가 61
89.7%
입목벌채허가변경 3
 
4.4%
산림보호구역시업허가 2
 
2.9%
영림계획시업신고 2
 
2.9%

Length

2023-12-13T03:02:53.912098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:54.039456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
입목벌채허가 61
89.7%
입목벌채허가변경 3
 
4.4%
산림보호구역시업허가 2
 
2.9%
영림계획시업신고 2
 
2.9%

허가일자
Date

Distinct43
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2019-01-17 00:00:00
Maximum2023-02-28 00:00:00
2023-12-13T03:02:54.172415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:54.320857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

시작일
Date

Distinct42
Distinct (%)61.8%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2019-01-17 00:00:00
Maximum2023-02-28 00:00:00
2023-12-13T03:02:54.471426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:54.610429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)

종료일
Date

Distinct26
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2019-05-30 00:00:00
Maximum2025-02-27 00:00:00
2023-12-13T03:02:54.726194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:54.839079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
경기도
68 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 68
100.0%

Length

2023-12-13T03:02:54.986656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:55.076839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 68
100.0%

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
양주시
68 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양주시 68
100.0%

Length

2023-12-13T03:02:55.177308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:55.282612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 68
100.0%

읍면동
Categorical

Distinct10
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size676.0 B
백석읍
21 
광적면
12 
남면
11 
장흥면
10 
은현면
8 
Other values (5)
6 

Length

Max length3
Median length3
Mean length2.8382353
Min length2

Unique

Unique4 ?
Unique (%)5.9%

Sample

1st row남방동
2nd row광적면
3rd row은현면
4th row은현면
5th row은현면

Common Values

ValueCountFrequency (%)
백석읍 21
30.9%
광적면 12
17.6%
남면 11
16.2%
장흥면 10
14.7%
은현면 8
 
11.8%
율정동 2
 
2.9%
남방동 1
 
1.5%
덕계동 1
 
1.5%
광사동 1
 
1.5%
봉양동 1
 
1.5%

Length

2023-12-13T03:02:55.395429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:55.538476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
백석읍 21
30.9%
광적면 12
17.6%
남면 11
16.2%
장흥면 10
14.7%
은현면 8
 
11.8%
율정동 2
 
2.9%
남방동 1
 
1.5%
덕계동 1
 
1.5%
광사동 1
 
1.5%
봉양동 1
 
1.5%

리
Categorical

Distinct22
Distinct (%)32.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
홍죽리
10 
하패리
6 
연곡리
6 
<NA>
6 
비암리
5 
Other values (17)
35 

Length

Max length4
Median length3
Mean length3.1029412
Min length3

Unique

Unique6 ?
Unique (%)8.8%

Sample

1st row<NA>
2nd row덕도리
3rd row하패리
4th row하패리
5th row하패리

Common Values

ValueCountFrequency (%)
홍죽리 10
14.7%
하패리 6
 
8.8%
연곡리 6
 
8.8%
<NA> 6
 
8.8%
비암리 5
 
7.4%
우고리 4
 
5.9%
삼상리 4
 
5.9%
일영리 4
 
5.9%
기산리 3
 
4.4%
한산리 2
 
2.9%
Other values (12) 18
26.5%

Length

2023-12-13T03:02:55.677727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
홍죽리 10
14.7%
연곡리 6
 
8.8%
na 6
 
8.8%
하패리 6
 
8.8%
비암리 5
 
7.4%
우고리 4
 
5.9%
삼상리 4
 
5.9%
일영리 4
 
5.9%
기산리 3
 
4.4%
황방리 2
 
2.9%
Other values (12) 18
26.5%

산구분
Categorical

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
산
60 
<NA>
8 

Length

Max length4
Median length1
Mean length1.3529412
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
산 60
88.2%
<NA> 8
 
11.8%

Length

2023-12-13T03:02:55.802231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:55.910460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
산 60
88.2%
na 8
 
11.8%

본번
Real number (ℝ)

Distinct50
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.60294
Minimum1
Maximum668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-13T03:02:56.062055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14
Q130
median56
Q393.5
95-th percentile656.65
Maximum668
Range667
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation182.5488
Coefficient of variation (CV)1.4650441
Kurtosis4.0486815
Mean124.60294
Median Absolute Deviation (MAD)29
Skewness2.2892427
Sum8473
Variance33324.064
MonotonicityNot monotonic
2023-12-13T03:02:56.254738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
55 4
 
5.9%
27 3
 
4.4%
64 2
 
2.9%
93 2
 
2.9%
2 2
 
2.9%
44 2
 
2.9%
31 2
 
2.9%
61 2
 
2.9%
32 2
 
2.9%
320 2
 
2.9%
Other values (40) 45
66.2%
ValueCountFrequency (%)
1 1
 
1.5%
2 2
2.9%
14 2
2.9%
15 1
 
1.5%
17 1
 
1.5%
18 1
 
1.5%
21 2
2.9%
25 1
 
1.5%
26 1
 
1.5%
27 3
4.4%
ValueCountFrequency (%)
668 1
1.5%
662 1
1.5%
660 1
1.5%
657 1
1.5%
656 1
1.5%
627 1
1.5%
364 1
1.5%
359 1
1.5%
320 2
2.9%
158 1
1.5%

부번1
Categorical

Distinct17
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
27 
1
17 
2
4 
4
4 
9
 
2
Other values (12)
14 

Length

Max length13
Median length4
Mean length2.5147059
Min length1

Unique

Unique10 ?
Unique (%)14.7%

Sample

1st row7
2nd row1
3rd row<NA>
4th row1
5th row2

Common Values

ValueCountFrequency (%)
<NA> 27
39.7%
1 17
25.0%
2 4
 
5.9%
4 4
 
5.9%
9 2
 
2.9%
16 2
 
2.9%
30 2
 
2.9%
3 1
 
1.5%
17 1
 
1.5%
32 1
 
1.5%
Other values (7) 7
 
10.3%

Length

2023-12-13T03:02:56.449715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 27
39.7%
1 17
25.0%
2 4
 
5.9%
4 4
 
5.9%
9 2
 
2.9%
16 2
 
2.9%
30 2
 
2.9%
9,10,11,12,13 1
 
1.5%
12 1
 
1.5%
14 1
 
1.5%
Other values (7) 7
 
10.3%

부번2
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
<NA>
67 
9
 
1

Length

Max length4
Median length4
Mean length3.9558824
Min length1

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 67
98.5%
9 1
 
1.5%

Length

2023-12-13T03:02:56.596429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:56.745351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 67
98.5%
9 1
 
1.5%

지목
Categorical

IMBALANCE 

Distinct2
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size676.0 B
임
66 
계
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
임 66
97.1%
계 2
 
2.9%

Length

2023-12-13T03:02:56.874012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:56.979246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임 66
97.1%
계 2
 
2.9%

지적
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)90.9%
Missing2
Missing (%)2.9%
Infinite0
Infinite (%)0.0%
Mean143127.24
Minimum538
Maximum1140107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-13T03:02:57.148012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum538
5-th percentile791.75
Q17007.75
median36888
Q3157477.5
95-th percentile590893
Maximum1140107
Range1139569
Interquartile range (IQR)150469.75

Descriptive statistics

Standard deviation242236.23
Coefficient of variation (CV)1.6924537
Kurtosis7.7277526
Mean143127.24
Median Absolute Deviation (MAD)35567.5
Skewness2.6666882
Sum9446398
Variance5.8678391 × 1010
MonotonicityNot monotonic
2023-12-13T03:02:57.689950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86182 2
 
2.9%
341543 2
 
2.9%
465821 2
 
2.9%
1140107 2
 
2.9%
590893 2
 
2.9%
225917 2
 
2.9%
10440 1
 
1.5%
33322 1
 
1.5%
31825 1
 
1.5%
166413 1
 
1.5%
Other values (50) 50
73.5%
(Missing) 2
 
2.9%
ValueCountFrequency (%)
538 1
1.5%
575 1
1.5%
694 1
1.5%
755 1
1.5%
902 1
1.5%
1084 1
1.5%
1299 1
1.5%
1342 1
1.5%
1544 1
1.5%
2374 1
1.5%
ValueCountFrequency (%)
1140107 2
2.9%
734405 1
1.5%
590893 2
2.9%
465821 2
2.9%
370613 1
1.5%
341543 2
2.9%
317256 1
1.5%
277105 1
1.5%
252918 1
1.5%
225917 2
2.9%

벌채목적
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
수종갱신
68 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수종갱신 68
100.0%

Length

2023-12-13T03:02:57.860062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:58.025951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수종갱신 68
100.0%

작업종
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
모두베기(개벌)
68 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row모두베기(개벌)
2nd row모두베기(개벌)
3rd row모두베기(개벌)
4th row모두베기(개벌)
5th row모두베기(개벌)

Common Values

ValueCountFrequency (%)
모두베기(개벌) 68
100.0%

Length

2023-12-13T03:02:58.177329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:58.324182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모두베기(개벌 68
100.0%

수종
Categorical

Distinct14
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Memory size676.0 B
기타활엽수
28 
신갈 외
17 
참나무류
5 
상수리
4 
신갈나무
3 
Other values (9)
11 

Length

Max length5
Median length4
Mean length4.2941176
Min length2

Unique

Unique7 ?
Unique (%)10.3%

Sample

1st row신갈 외
2nd row상수리
3rd row신갈 외
4th row신갈 외
5th row상수리 외

Common Values

ValueCountFrequency (%)
기타활엽수 28
41.2%
신갈 외 17
25.0%
참나무류 5
 
7.4%
상수리 4
 
5.9%
신갈나무 3
 
4.4%
낙엽송 2
 
2.9%
밤나무 2
 
2.9%
상수리 외 1
 
1.5%
잣나무 외 1
 
1.5%
아까시 외 1
 
1.5%
Other values (4) 4
 
5.9%

Length

2023-12-13T03:02:58.468971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타활엽수 28
31.5%
외 21
23.6%
신갈 17
19.1%
참나무류 5
 
5.6%
상수리 5
 
5.6%
신갈나무 3
 
3.4%
밤나무 3
 
3.4%
낙엽송 2
 
2.2%
잣나무 2
 
2.2%
아까시 1
 
1.1%
Other values (2) 2
 
2.2%

벌채면적
Real number (ℝ)

Distinct55
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29640.529
Minimum200
Maximum220000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2023-12-13T03:02:58.632041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum200
5-th percentile589.25
Q15341.25
median16250
Q340165.25
95-th percentile100000
Maximum220000
Range219800
Interquartile range (IQR)34824

Descriptive statistics

Standard deviation38731.737
Coefficient of variation (CV)1.3067154
Kurtosis9.0220085
Mean29640.529
Median Absolute Deviation (MAD)13500
Skewness2.6684324
Sum2015556
Variance1.5001474 × 109
MonotonicityNot monotonic
2023-12-13T03:02:58.846714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10000 4
 
5.9%
20000 4
 
5.9%
50000 3
 
4.4%
16000 2
 
2.9%
30000 2
 
2.9%
25000 2
 
2.9%
100000 2
 
2.9%
1000 2
 
2.9%
3000 1
 
1.5%
4399 1
 
1.5%
Other values (45) 45
66.2%
ValueCountFrequency (%)
200 1
1.5%
425 1
1.5%
459 1
1.5%
500 1
1.5%
755 1
1.5%
800 1
1.5%
1000 2
2.9%
1084 1
1.5%
1493 1
1.5%
1500 1
1.5%
ValueCountFrequency (%)
220000 1
 
1.5%
152000 1
 
1.5%
110000 1
 
1.5%
100000 2
2.9%
95000 1
 
1.5%
90000 1
 
1.5%
70000 1
 
1.5%
60000 1
 
1.5%
50000 3
4.4%
46820 1
 
1.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
양주시 산림휴양과
68 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row양주시 산림휴양과
2nd row양주시 산림휴양과
3rd row양주시 산림휴양과
4th row양주시 산림휴양과
5th row양주시 산림휴양과

Common Values

ValueCountFrequency (%)
양주시 산림휴양과 68
100.0%

Length

2023-12-13T03:02:59.021279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:02:59.152112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시 68
50.0%
산림휴양과 68
50.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum2023-07-21 00:00:00
Maximum2023-07-21 00:00:00
2023-12-13T03:02:59.267765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:02:59.398482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

관리번호업무구분허가일자시작일종료일시도시군구읍면동리산구분본번부번1부번2지목지적벌채목적작업종수종벌채면적관리기관명데이터기준일자
02019-그린벨트-1입목벌채허가2019-09-012019-09-012020-02-01경기도양주시남방동<NA>산287<NA>임11065수종갱신모두베기(개벌)신갈 외11065양주시 산림휴양과2023-07-21
12019-일반-1입목벌채허가2019-01-172019-01-172019-05-30경기도양주시광적면덕도리산1581<NA>임252918수종갱신모두베기(개벌)상수리10000양주시 산림휴양과2023-07-21
22019-일반-10입목벌채허가2019-09-022019-09-022020-03-01경기도양주시은현면하패리산136<NA><NA>임29455수종갱신모두베기(개벌)신갈 외27455양주시 산림휴양과2023-07-21
32019-일반-11입목벌채허가2019-09-022019-09-022020-03-01경기도양주시은현면하패리산211<NA>임1342수종갱신모두베기(개벌)신갈 외1493양주시 산림휴양과2023-07-21
42019-일반-11입목벌채허가2019-09-022019-09-022020-03-01경기도양주시은현면하패리산212<NA>임575수종갱신모두베기(개벌)상수리 외425양주시 산림휴양과2023-07-21
52019-일반-12입목벌채허가2019-09-022019-09-022020-03-01경기도양주시광적면우고리산54<NA><NA>임225917수종갱신모두베기(개벌)잣나무 외90000양주시 산림휴양과2023-07-21
62019-일반-13입목벌채허가2019-10-302019-10-302020-10-29경기도양주시은현면용암리산652<NA>임10440수종갱신모두베기(개벌)아까시 외10440양주시 산림휴양과2023-07-21
72019-일반-14입목벌채허가2019-11-112019-11-112020-05-31경기도양주시덕계동<NA>산13017<NA>임20716수종갱신모두베기(개벌)신갈 외16500양주시 산림휴양과2023-07-21
82019-일반-15입목벌채허가2019-11-222019-11-222020-03-31경기도양주시광적면덕도리산3619임37035수종갱신모두베기(개벌)신갈 외35000양주시 산림휴양과2023-07-21
92019-일반-16입목벌채허가2019-12-102019-12-102020-04-30경기도양주시광사동<NA>산3644<NA>임538수종갱신모두베기(개벌)신갈 외459양주시 산림휴양과2023-07-21
관리번호업무구분허가일자시작일종료일시도시군구읍면동리산구분본번부번1부번2지목지적벌채목적작업종수종벌채면적관리기관명데이터기준일자
582022-일반-8입목벌채허가2022-09-272022-09-222023-05-31경기도양주시광적면우고리산642<NA>임<NA>수종갱신모두베기(개벌)기타활엽수16000양주시 산림휴양과2023-07-21
592022-일반-9입목벌채허가2022-09-222022-09-262023-04-30경기도양주시율정동<NA>산216<NA>임1140107수종갱신모두베기(개벌)기타활엽수70000양주시 산림휴양과2023-07-21
602022-일반-10입목벌채허가2022-09-222022-09-262023-05-31경기도양주시남면신암리산31<NA><NA>임465821수종갱신모두베기(개벌)기타활엽수20000양주시 산림휴양과2023-07-21
612022-일반-11입목벌채허가2022-09-292022-09-292023-03-30경기도양주시장흥면삼상리산93<NA><NA>임36741수종갱신모두베기(개벌)기타활엽수10000양주시 산림휴양과2023-07-21
622022-일반-12입목벌채허가2022-12-022022-12-052023-05-31경기도양주시장흥면석현리산32030<NA>임2554수종갱신모두베기(개벌)기타활엽수1000양주시 산림휴양과2023-07-21
632022-일반-13입목벌채허가2022-12-022022-12-052023-05-31경기도양주시장흥면석현리산32030<NA>임5113수종갱신모두베기(개벌)기타활엽수1000양주시 산림휴양과2023-07-21
642023-일반-1입목벌채허가2023-02-102023-02-012023-05-31경기도양주시은현면선암리산1512<NA>임81275수종갱신모두베기(개벌)기타활엽수15000양주시 산림휴양과2023-07-21
652023-일반-2입목벌채허가2023-02-272023-02-272025-02-26경기도양주시장흥면삼상리산88<NA><NA>임111075수종갱신모두베기(개벌)기타활엽수30000양주시 산림휴양과2023-07-21
662023-일반-3입목벌채허가2023-02-282023-02-282025-02-27경기도양주시장흥면삼상리<NA>606<NA>임27196수종갱신모두베기(개벌)기타활엽수14000양주시 산림휴양과2023-07-21
672023-일반-3입목벌채허가2023-02-282023-02-282025-02-27경기도양주시장흥면삼상리산501<NA>임35306수종갱신모두베기(개벌)기타활엽수20000양주시 산림휴양과2023-07-21