Overview

Dataset statistics

Number of variables7
Number of observations83
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory59.5 B

Variable types

Text2
Categorical1
Numeric2
DateTime2

Dataset

Description산지관리법 제29조 제1항 및 같은법 시행령 제39조 제1항에 따라 경상남도 지방산지관리위원회에서 그 타당성에 관하여 심의를 거친 자료로써 경상남도 내 채석단지(소재지, 지번, 용도, 면적, 수량, 허가일, 종료일) 신고현황입니다.
Author경상남도
URLhttps://www.data.go.kr/data/15048385/fileData.do

Alerts

면적(천제곱미터) is highly overall correlated with 수량(천세제곱미터)High correlation
수량(천세제곱미터) is highly overall correlated with 면적(천제곱미터)High correlation

Reproduction

Analysis started2024-03-14 23:53:45.360998
Analysis finished2024-03-14 23:53:48.307271
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소재지
Text

Distinct56
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size792.0 B
2024-03-15T08:53:49.318727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length11
Mean length10.939759
Min length7

Characters and Unicode

Total characters908
Distinct characters112
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

Unique39 ?
Unique (%)47.0%

Sample

1st row창원시 진해구 죽곡동
2nd row창원시 진해구 죽곡동
3rd row창원시 진해구 죽곡동
4th row창원시 진해구 안골동
5th row창원시 진해구 두동
ValueCountFrequency (%)
거창군 19
 
7.7%
김해시 12
 
4.9%
주상면 9
 
3.6%
창원시 8
 
3.2%
함양군 6
 
2.4%
위천면 6
 
2.4%
합천군 6
 
2.4%
사천시 5
 
2.0%
진해구 5
 
2.0%
산청군 5
 
2.0%
Other values (105) 166
67.2%
2024-03-15T08:53:50.837070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
18.3%
리 72
 
7.9%
면 67
 
7.4%
군 49
 
5.4%
시 34
 
3.7%
창 30
 
3.3%
산 29
 
3.2%
동 27
 
3.0%
천 23
 
2.5%
거 21
 
2.3%
Other values (102) 390
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 742
81.7%
Space Separator 166
 
18.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 72
 
9.7%
면 67
 
9.0%
군 49
 
6.6%
시 34
 
4.6%
창 30
 
4.0%
산 29
 
3.9%
동 27
 
3.6%
천 23
 
3.1%
거 21
 
2.8%
주 19
 
2.6%
Other values (101) 371
50.0%
Space Separator
ValueCountFrequency (%)
166
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 742
81.7%
Common 166
 
18.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 72
 
9.7%
면 67
 
9.0%
군 49
 
6.6%
시 34
 
4.6%
창 30
 
4.0%
산 29
 
3.9%
동 27
 
3.6%
천 23
 
3.1%
거 21
 
2.8%
주 19
 
2.6%
Other values (101) 371
50.0%
Common
ValueCountFrequency (%)
166
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 742
81.7%
ASCII 166
 
18.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
166
100.0%
Hangul
ValueCountFrequency (%)
리 72
 
9.7%
면 67
 
9.0%
군 49
 
6.6%
시 34
 
4.6%
창 30
 
4.0%
산 29
 
3.9%
동 27
 
3.6%
천 23
 
3.1%
거 21
 
2.8%
주 19
 
2.6%
Other values (101) 371
50.0%

지번
Text

Distinct80
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size792.0 B
2024-03-15T08:53:51.870577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length8.686747
Min length2

Characters and Unicode

Total characters721
Distinct characters17
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)92.8%

Sample

1st row산106 외 6필
2nd row산103-1
3rd row산103-2
4th row470외 39
5th row산224
ValueCountFrequency (%)
외 54
27.7%
4필 6
 
3.1%
2필 5
 
2.6%
8필 4
 
2.1%
14필 4
 
2.1%
6필 4
 
2.1%
산97-6번지 2
 
1.0%
산151번지 2
 
1.0%
2 2
 
1.0%
3필지 2
 
1.0%
Other values (97) 110
56.4%
2024-03-15T08:53:53.115479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
15.5%
산 78
10.8%
1 69
9.6%
외 62
8.6%
필 52
 
7.2%
2 51
 
7.1%
지 40
 
5.5%
- 38
 
5.3%
3 36
 
5.0%
6 32
 
4.4%
Other values (7) 151
20.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 313
43.4%
Other Letter 258
35.8%
Space Separator 112
 
15.5%
Dash Punctuation 38
 
5.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 69
22.0%
2 51
16.3%
3 36
11.5%
6 32
10.2%
7 27
 
8.6%
4 26
 
8.3%
5 23
 
7.3%
0 17
 
5.4%
9 16
 
5.1%
8 16
 
5.1%
Other Letter
ValueCountFrequency (%)
산 78
30.2%
외 62
24.0%
필 52
20.2%
지 40
15.5%
번 26
 
10.1%
Space Separator
ValueCountFrequency (%)
112
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 463
64.2%
Hangul 258
35.8%

Most frequent character per script

Common
ValueCountFrequency (%)
112
24.2%
1 69
14.9%
2 51
11.0%
- 38
 
8.2%
3 36
 
7.8%
6 32
 
6.9%
7 27
 
5.8%
4 26
 
5.6%
5 23
 
5.0%
0 17
 
3.7%
Other values (2) 32
 
6.9%
Hangul
ValueCountFrequency (%)
산 78
30.2%
외 62
24.0%
필 52
20.2%
지 40
15.5%
번 26
 
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 463
64.2%
Hangul 258
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
24.2%
1 69
14.9%
2 51
11.0%
- 38
 
8.2%
3 36
 
7.8%
6 32
 
6.9%
7 27
 
5.8%
4 26
 
5.6%
5 23
 
5.0%
0 17
 
3.7%
Other values (2) 32
 
6.9%
Hangul
ValueCountFrequency (%)
산 78
30.2%
외 62
24.0%
필 52
20.2%
지 40
15.5%
번 26
 
10.1%

용도
Categorical

Distinct21
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size792.0 B
쇄골재용
18 
토목용
12 
토목용, 쇄골재용
10 
건축용,공예용,토목용,쇄골재용
9 
토사
6 
Other values (16)
28 

Length

Max length16
Median length12
Mean length7.3614458
Min length2

Unique

Unique9 ?
Unique (%)10.8%

Sample

1st row토목용
2nd row광물채취
3rd row납석채취
4th row토목용, 쇄골재용
5th row토목용

Common Values

ValueCountFrequency (%)
쇄골재용 18
21.7%
토목용 12
14.5%
토목용, 쇄골재용 10
12.0%
건축용,공예용,토목용,쇄골재용 9
10.8%
토사 6
 
7.2%
건축용,공예용,쇄골재용 4
 
4.8%
쇄골재/토목용 4
 
4.8%
토목용,쇄골재용 3
 
3.6%
토목용,조경용,쇄골재용 2
 
2.4%
쇄골재용, 토목용 2
 
2.4%
Other values (11) 13
15.7%

Length

2024-03-15T08:53:53.486171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
쇄골재용 31
29.5%
토목용 27
25.7%
건축용,공예용,토목용,쇄골재용 9
 
8.6%
토사 6
 
5.7%
건축용,공예용,쇄골재용 4
 
3.8%
쇄골재/토목용 4
 
3.8%
토목용,쇄골재용 3
 
2.9%
쇄골재 2
 
1.9%
조경 2
 
1.9%
공예 2
 
1.9%
Other values (11) 15
14.3%

면적(천제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct70
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.542169
Minimum4
Maximum808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size875.0 B
2024-03-15T08:53:53.910795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7.3
Q130.5
median62
Q3101
95-th percentile209.7
Maximum808
Range804
Interquartile range (IQR)70.5

Descriptive statistics

Standard deviation103.10358
Coefficient of variation (CV)1.1777591
Kurtosis29.192799
Mean87.542169
Median Absolute Deviation (MAD)34
Skewness4.5714773
Sum7266
Variance10630.349
MonotonicityNot monotonic
2024-03-15T08:53:54.381732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 3
 
3.6%
95 3
 
3.6%
5 2
 
2.4%
11 2
 
2.4%
44 2
 
2.4%
7 2
 
2.4%
99 2
 
2.4%
31 2
 
2.4%
10 2
 
2.4%
28 2
 
2.4%
Other values (60) 61
73.5%
ValueCountFrequency (%)
4 1
1.2%
5 2
2.4%
7 2
2.4%
10 2
2.4%
11 2
2.4%
13 1
1.2%
14 1
1.2%
18 1
1.2%
19 1
1.2%
21 1
1.2%
ValueCountFrequency (%)
808 1
1.2%
373 1
1.2%
226 1
1.2%
214 1
1.2%
210 1
1.2%
207 1
1.2%
205 1
1.2%
188 1
1.2%
167 1
1.2%
165 1
1.2%

수량(천세제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2311.988
Minimum7
Maximum45972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size875.0 B
2024-03-15T08:53:54.753546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile33.9
Q1175.5
median1111
Q32630.5
95-th percentile5666
Maximum45972
Range45965
Interquartile range (IQR)2455

Descriptive statistics

Standard deviation5226.3438
Coefficient of variation (CV)2.2605411
Kurtosis60.854479
Mean2311.988
Median Absolute Deviation (MAD)1011
Skewness7.3111989
Sum191895
Variance27314669
MonotonicityNot monotonic
2024-03-15T08:53:55.120583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 2
 
2.4%
89 2
 
2.4%
1032 1
 
1.2%
29 1
 
1.2%
3390 1
 
1.2%
3649 1
 
1.2%
692 1
 
1.2%
45 1
 
1.2%
758 1
 
1.2%
73 1
 
1.2%
Other values (71) 71
85.5%
ValueCountFrequency (%)
7 1
1.2%
12 1
1.2%
29 1
1.2%
33 2
2.4%
42 1
1.2%
45 1
1.2%
66 1
1.2%
67 1
1.2%
72 1
1.2%
73 1
1.2%
ValueCountFrequency (%)
45972 1
1.2%
8500 1
1.2%
7546 1
1.2%
5878 1
1.2%
5671 1
1.2%
5621 1
1.2%
5573 1
1.2%
5273 1
1.2%
5149 1
1.2%
4939 1
1.2%

현재허가 시작일
Date

Distinct81
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size792.0 B
Minimum1997-09-30 00:00:00
Maximum2022-11-09 00:00:00
2024-03-15T08:53:55.514959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:53:56.016532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

허가 종료일
Date

Distinct52
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Memory size792.0 B
Minimum2022-12-31 00:00:00
Maximum2032-09-30 00:00:00
2024-03-15T08:53:56.428417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:53:56.844092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2024-03-15T08:53:47.174691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:53:46.777696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:53:47.423992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:53:46.998736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:53:57.315335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지지번용도면적(천제곱미터)수량(천세제곱미터)현재허가 시작일허가 종료일
소재지1.0001.0000.9640.9670.9230.9970.952
지번1.0001.0000.9990.9940.8550.9980.998
용도0.9640.9991.0000.0000.0000.0000.968
면적(천제곱미터)0.9670.9940.0001.0000.7781.0000.154
수량(천세제곱미터)0.9230.8550.0000.7781.0001.0000.000
현재허가 시작일0.9970.9980.0001.0001.0001.0000.998
허가 종료일0.9520.9980.9680.1540.0000.9981.000
2024-03-15T08:53:57.571681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(천제곱미터)수량(천세제곱미터)용도
면적(천제곱미터)1.0000.8860.000
수량(천세제곱미터)0.8861.0000.000
용도0.0000.0001.000

Missing values

2024-03-15T08:53:47.753021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:53:48.156376image/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

소재지지번용도면적(천제곱미터)수량(천세제곱미터)현재허가 시작일허가 종료일
0창원시 진해구 죽곡동산106 외 6필토목용6610322021-01-012023-12-31
1창원시 진해구 죽곡동산103-1광물채취444902004-04-152027-11-30
2창원시 진해구 죽곡동산103-2납석채취111091999-06-182023-04-18
3창원시 진해구 안골동470외 39토목용, 쇄골재용13058782022-03-182024-12-31
4창원시 진해구 두동산224토목용7011572014-12-082023-12-31
5창원시 마산합포구 진북면 망곡리산9번지 외 2필지쇄골재용5914542014-07-102023-07-09
6창원시 마산합포구 진북면 망곡리산2번지 외 2필지쇄골재용144542019-07-152025-07-14
7창원시 마산합포구 진북면 망곡리산13-1쇄골재용7812016-07-152025-07-14
8진주시 진성면 가진리산171 외 8필쇄골재용·토목용7815282013-04-052023-04-04
9진주시 장재동산2 외 12필쇄골재용·토목용313492021-08-262024-08-10
소재지지번용도면적(천제곱미터)수량(천세제곱미터)현재허가 시작일허가 종료일
73거창군 주상면 연교리산88건축용,공예용,토목용,쇄골재용9525752014-08-202023-07-31
74거창군 남하면 대야리산47토목용,쇄골재용8816482017-01-012026-12-31
75거창군 주상면 성기리산132토목용,조경용211462020-05-282024-05-31
76거창군 주상면 성기리산197토목용291842022-03-032025-01-30
77합천군 용주면 성산리산64-1 외 14필쇄골재용44332005-05-222024-05-31
78합천군 용주면 성산리산64-1 외 2필쇄골재용7315702018-11-192024-05-31
79합천군 용주면 팔산리산5-1 외 6필쇄골재용16046042006-11-152023-02-28
80합천군 용주면 팔산리산78 외 4필토목용,쇄골재용6714902022-10-122032-09-30
81합천군 합천읍 금양리산80토사19122019-03-072024-02-29
82합천군 초계면 원당리산2토사5332022-01-282023-01-27