Overview

Dataset statistics

Number of variables8
Number of observations83
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory67.6 B

Variable types

Text3
Categorical1
Numeric2
DateTime2

Dataset

Description산지관리법 제25조 제1항에 따라 경상남도 지방산지관리위원회에서 그 타당성에 관하여 심의를 거쳐 토석채취허가를 득한 자료로써 토석채취장의 소재지, 지번, 용도, 면적, 수량, 허가일, 종료일, 수허가자의 정보를 포함하고 있는 자료입니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15048387

Alerts

면적(천미터제곱) is highly overall correlated with 수량(천미터세제곱)High correlation
수량(천미터세제곱) is highly overall correlated with 면적(천미터제곱)High correlation

Reproduction

Analysis started2023-12-11 00:04:08.479402
Analysis finished2023-12-11 00:04:09.689507
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct56
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-11T09:04:09.919164image/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%
2023-12-11T09:04:10.364855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
166
18.3%
72
 
7.9%
67
 
7.4%
49
 
5.4%
34
 
3.7%
30
 
3.3%
29
 
3.2%
27
 
3.0%
23
 
2.5%
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 (%)
72
 
9.7%
67
 
9.0%
49
 
6.6%
34
 
4.6%
30
 
4.0%
29
 
3.9%
27
 
3.6%
23
 
3.1%
21
 
2.8%
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 (%)
72
 
9.7%
67
 
9.0%
49
 
6.6%
34
 
4.6%
30
 
4.0%
29
 
3.9%
27
 
3.6%
23
 
3.1%
21
 
2.8%
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 (%)
72
 
9.7%
67
 
9.0%
49
 
6.6%
34
 
4.6%
30
 
4.0%
29
 
3.9%
27
 
3.6%
23
 
3.1%
21
 
2.8%
19
 
2.6%
Other values (101) 371
50.0%

지번
Text

Distinct80
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-11T09:04:10.648430image/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 (%)
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%
2023-12-11T09:04:11.102092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
15.5%
78
10.8%
1 69
9.6%
62
8.6%
52
 
7.2%
2 51
 
7.1%
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 (%)
78
30.2%
62
24.0%
52
20.2%
40
15.5%
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 (%)
78
30.2%
62
24.0%
52
20.2%
40
15.5%
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 (%)
78
30.2%
62
24.0%
52
20.2%
40
15.5%
26
 
10.1%

용도
Categorical

Distinct21
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Memory size796.0 B
쇄골재용
18 
토목용
12 
토목용, 쇄골재용
10 
건축용,공예용,토목용,쇄골재용
토사
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

2023-12-11T09:04:11.282868image/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(천미터제곱)
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 size879.0 B
2023-12-11T09:04:11.415040image/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
2023-12-11T09:04:11.578722image/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(천미터세제곱)
Real number (ℝ)

HIGH CORRELATION 

Distinct81
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2282.2771
Minimum7
Maximum45972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size879.0 B
2023-12-11T09:04:11.739627image/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 deviation5214.5756
Coefficient of variation (CV)2.2848126
Kurtosis61.608165
Mean2282.2771
Median Absolute Deviation (MAD)1011
Skewness7.3753136
Sum189429
Variance27191798
MonotonicityNot monotonic
2023-12-11T09:04:11.890278image/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%
5273 1
1.2%
5149 1
1.2%
4939 1
1.2%
4604 1
1.2%
Distinct81
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size796.0 B
Minimum1997-09-30 00:00:00
Maximum2022-11-09 00:00:00
2023-12-11T09:04:12.029245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:04:12.194666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct52
Distinct (%)62.7%
Missing0
Missing (%)0.0%
Memory size796.0 B
Minimum2022-12-31 00:00:00
Maximum2032-09-30 00:00:00
2023-12-11T09:04:12.352455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:04:12.505999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct66
Distinct (%)79.5%
Missing0
Missing (%)0.0%
Memory size796.0 B
2023-12-11T09:04:12.736667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length5
Mean length5.5542169
Min length3

Characters and Unicode

Total characters461
Distinct characters125
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

Unique53 ?
Unique (%)63.9%

Sample

1st row죽곡하이테크㈜외 8개사
2nd row㈜피앤앰마이닝
3rd row진해납석㈜
4th row신항개발㈜
5th row㈜보배산업
ValueCountFrequency (%)
㈜모동석산 4
 
4.3%
㈜삼덕개발 3
 
3.2%
㈜삼보산업 3
 
3.2%
3
 
3.2%
㈜세광 2
 
2.1%
주식회사 2
 
2.1%
㈜주상기업 2
 
2.1%
하동군수 2
 
2.1%
㈜대풍산업 2
 
2.1%
진성개발㈜ 2
 
2.1%
Other values (63) 69
73.4%
2023-12-11T09:04:13.100730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
13.9%
29
 
6.3%
22
 
4.8%
20
 
4.3%
18
 
3.9%
15
 
3.3%
11
 
2.4%
8
 
1.7%
8
 
1.7%
8
 
1.7%
Other values (115) 258
56.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 374
81.1%
Other Symbol 64
 
13.9%
Space Separator 11
 
2.4%
Decimal Number 6
 
1.3%
Open Punctuation 3
 
0.7%
Close Punctuation 3
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
 
7.8%
22
 
5.9%
20
 
5.3%
18
 
4.8%
15
 
4.0%
8
 
2.1%
8
 
2.1%
8
 
2.1%
8
 
2.1%
8
 
2.1%
Other values (106) 230
61.5%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
8 1
16.7%
1 1
16.7%
3 1
16.7%
5 1
16.7%
Other Symbol
ValueCountFrequency (%)
64
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 438
95.0%
Common 23
 
5.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
64
 
14.6%
29
 
6.6%
22
 
5.0%
20
 
4.6%
18
 
4.1%
15
 
3.4%
8
 
1.8%
8
 
1.8%
8
 
1.8%
8
 
1.8%
Other values (107) 238
54.3%
Common
ValueCountFrequency (%)
11
47.8%
( 3
 
13.0%
) 3
 
13.0%
2 2
 
8.7%
8 1
 
4.3%
1 1
 
4.3%
3 1
 
4.3%
5 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 374
81.1%
None 64
 
13.9%
ASCII 23
 
5.0%

Most frequent character per block

None
ValueCountFrequency (%)
64
100.0%
Hangul
ValueCountFrequency (%)
29
 
7.8%
22
 
5.9%
20
 
5.3%
18
 
4.8%
15
 
4.0%
8
 
2.1%
8
 
2.1%
8
 
2.1%
8
 
2.1%
8
 
2.1%
Other values (106) 230
61.5%
ASCII
ValueCountFrequency (%)
11
47.8%
( 3
 
13.0%
) 3
 
13.0%
2 2
 
8.7%
8 1
 
4.3%
1 1
 
4.3%
3 1
 
4.3%
5 1
 
4.3%

Interactions

2023-12-11T09:04:09.326047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:04:09.158034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:04:09.409661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:04:09.248874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:04:13.219854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지지번용도면적(천미터제곱)수량(천미터세제곱)현재허가 시작일허가 종료일수허가자
소재지1.0001.0000.9640.9670.9090.9970.9521.000
지번1.0001.0000.9990.9940.8220.9980.9981.000
용도0.9640.9991.0000.0000.0000.0000.9660.997
면적(천미터제곱)0.9670.9940.0001.0000.7651.0000.1540.966
수량(천미터세제곱)0.9090.8220.0000.7651.0001.0000.0000.888
현재허가 시작일0.9970.9980.0001.0001.0001.0000.9980.998
허가 종료일0.9520.9980.9660.1540.0000.9981.0000.975
수허가자1.0001.0000.9970.9660.8880.9980.9751.000
2023-12-11T09:04:13.350338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(천미터제곱)수량(천미터세제곱)용도
면적(천미터제곱)1.0000.8840.000
수량(천미터세제곱)0.8841.0000.000
용도0.0000.0001.000

Missing values

2023-12-11T09:04:09.510037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:04:09.634335image/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(천미터제곱)수량(천미터세제곱)현재허가 시작일허가 종료일수허가자
0창원시 진해구 죽곡동산106 외 6필토목용6610322021-01-012023-12-31죽곡하이테크㈜외 8개사
1창원시 진해구 죽곡동산103-1광물채취444902004-04-152027-11-30㈜피앤앰마이닝
2창원시 진해구 죽곡동산103-2납석채취111091999-06-182023-04-18진해납석㈜
3창원시 진해구 안골동470외 39토목용, 쇄골재용13058782022-03-182024-12-31신항개발㈜
4창원시 진해구 두동산224토목용7011572014-12-082023-12-31㈜보배산업
5창원시 마산합포구 진북면 망곡리산9번지 외 2필지쇄골재용5914542014-07-102023-07-09㈜대풍산업
6창원시 마산합포구 진북면 망곡리산2번지 외 2필지쇄골재용144542019-07-152025-07-14㈜경신
7창원시 마산합포구 진북면 망곡리산13-1쇄골재용7812016-07-152025-07-14㈜대풍산업
8진주시 진성면 가진리산171 외 8필쇄골재용·토목용7815282013-04-052023-04-04정암산업㈜
9진주시 장재동산2 외 12필쇄골재용·토목용313492021-08-262024-08-10코리아신탁㈜
소재지지번용도면적(천미터제곱)수량(천미터세제곱)현재허가 시작일허가 종료일수허가자
73거창군 주상면 연교리산88건축용,공예용,토목용,쇄골재용9525752014-08-202023-07-31㈜태원
74거창군 남하면 대야리산47토목용,쇄골재용8816482017-01-012026-12-31㈜삼성개발
75거창군 주상면 성기리산132토목용,조경용211462020-05-282024-05-31㈜대성씨엔에스
76거창군 주상면 성기리산197토목용291842022-03-032025-01-30골드케이브
77합천군 용주면 성산리산64-1 외 14필쇄골재용44332005-05-222024-05-31㈜세광
78합천군 용주면 성산리산64-1 외 2필쇄골재용7315702018-11-192024-05-31㈜세광
79합천군 용주면 팔산리산5-1 외 6필쇄골재용16046042006-11-152023-02-28진성개발㈜
80합천군 용주면 팔산리산78 외 4필토목용,쇄골재용6714902022-10-122032-09-30진성개발㈜
81합천군 합천읍 금양리산80토사19122019-03-072024-02-29합천군수
82합천군 초계면 원당리산2토사5332022-01-282023-01-27동원건설