Overview

Dataset statistics

Number of variables12
Number of observations126
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.4 KiB
Average record size in memory101.0 B

Variable types

Numeric4
Categorical3
Text3
DateTime2

Dataset

Description충청남도 토석채취 관련정보를 토석구분, 주된행정처분, 소재지, 지번, 용도, 면적 등으로 나열하여 개방합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=396&beforeMenuCd=DOM_000000201001001000&publicdatapk=15032200

Alerts

건별 is highly overall correlated with 사업장별High correlation
사업장별 is highly overall correlated with 건별High correlation
면적(천제곱미터) is highly overall correlated with 수량(천세제곱미터) and 1 other fieldsHigh correlation
수량(천세제곱미터) is highly overall correlated with 면적(천제곱미터) and 1 other fieldsHigh correlation
토석구분 is highly overall correlated with 면적(천제곱미터) and 2 other fieldsHigh correlation
용도 is highly overall correlated with 토석구분High correlation
유형(주된처분) is highly imbalanced (55.5%)Imbalance
건별 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:36:45.364677
Analysis finished2024-01-09 20:36:47.579116
Duration2.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건별
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct126
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.5
Minimum1
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:36:47.654917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.25
Q132.25
median63.5
Q394.75
95-th percentile119.75
Maximum126
Range125
Interquartile range (IQR)62.5

Descriptive statistics

Standard deviation36.517119
Coefficient of variation (CV)0.57507274
Kurtosis-1.2
Mean63.5
Median Absolute Deviation (MAD)31.5
Skewness0
Sum8001
Variance1333.5
MonotonicityStrictly increasing
2024-01-10T05:36:47.807158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
81 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
88 1
 
0.8%
87 1
 
0.8%
Other values (116) 116
92.1%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%
118 1
0.8%
117 1
0.8%

사업장별
Real number (ℝ)

HIGH CORRELATION 

Distinct98
Distinct (%)77.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.349206
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:36:47.933914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.25
Q127.25
median44.5
Q371.75
95-th percentile91.75
Maximum98
Range97
Interquartile range (IQR)44.5

Descriptive statistics

Standard deviation26.719975
Coefficient of variation (CV)0.55264558
Kurtosis-1.0456782
Mean48.349206
Median Absolute Deviation (MAD)21
Skewness0.15261541
Sum6092
Variance713.95708
MonotonicityIncreasing
2024-01-10T05:36:48.053957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 7
 
5.6%
39 5
 
4.0%
50 3
 
2.4%
72 3
 
2.4%
32 3
 
2.4%
25 3
 
2.4%
87 3
 
2.4%
86 2
 
1.6%
52 2
 
1.6%
49 2
 
1.6%
Other values (88) 93
73.8%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
98 1
0.8%
97 1
0.8%
96 1
0.8%
95 1
0.8%
94 1
0.8%
93 1
0.8%
92 1
0.8%
91 1
0.8%
90 1
0.8%
89 1
0.8%

토석구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
석재
84 
토사
41 
토석
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.8%

Sample

1st row토사
2nd row토사
3rd row토사
4th row석재
5th row토사

Common Values

ValueCountFrequency (%)
석재 84
66.7%
토사 41
32.5%
토석 1
 
0.8%

Length

2024-01-10T05:36:48.171105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:36:48.261797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
석재 84
66.7%
토사 41
32.5%
토석 1
 
0.8%

유형(주된처분)
Categorical

IMBALANCE 

Distinct6
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
허가
93 
부수적(산지전용)
25 
채석단지(채석신고)
 
4
부수적(산지일시사용-채광)
 
2
협의
 
1

Length

Max length14
Median length2
Mean length3.8333333
Min length2

Unique

Unique2 ?
Unique (%)1.6%

Sample

1st row부수적(산지전용)
2nd row부수적(산지전용)
3rd row부수적(산지전용)
4th row부수적(산지전용)
5th row부수적(산지전용)

Common Values

ValueCountFrequency (%)
허가 93
73.8%
부수적(산지전용) 25
 
19.8%
채석단지(채석신고) 4
 
3.2%
부수적(산지일시사용-채광) 2
 
1.6%
협의 1
 
0.8%
신고 1
 
0.8%

Length

2024-01-10T05:36:48.357109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:36:48.452153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
허가 93
73.8%
부수적(산지전용 25
 
19.8%
채석단지(채석신고 4
 
3.2%
부수적(산지일시사용-채광 2
 
1.6%
협의 1
 
0.8%
신고 1
 
0.8%

소재지
Text

Distinct88
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T05:36:48.751291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length11.111111
Min length7

Characters and Unicode

Total characters1400
Distinct characters134
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

Unique70 ?
Unique (%)55.6%

Sample

1st row천안시 동남구 구성동
2nd row천안시 서북구 성거읍 오목리
3rd row천안시 동남구 목천읍 응원리
4th row천안시 동남구 목천읍 소사리
5th row천안시 서북구 입장면 용정리
ValueCountFrequency (%)
서산시 18
 
4.7%
보령시 16
 
4.2%
당진시 15
 
3.9%
천안시 14
 
3.7%
금산군 13
 
3.4%
아산시 11
 
2.9%
웅천읍 10
 
2.6%
태안군 10
 
2.6%
부여군 10
 
2.6%
평리 9
 
2.4%
Other values (149) 255
66.9%
2024-01-10T05:36:49.249421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
261
18.6%
리 119
 
8.5%
면 96
 
6.9%
시 83
 
5.9%
산 73
 
5.2%
군 46
 
3.3%
천 35
 
2.5%
성 31
 
2.2%
서 30
 
2.1%
안 26
 
1.9%
Other values (124) 600
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1139
81.4%
Space Separator 261
 
18.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 119
 
10.4%
면 96
 
8.4%
시 83
 
7.3%
산 73
 
6.4%
군 46
 
4.0%
천 35
 
3.1%
성 31
 
2.7%
서 30
 
2.6%
안 26
 
2.3%
읍 21
 
1.8%
Other values (123) 579
50.8%
Space Separator
ValueCountFrequency (%)
261
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1139
81.4%
Common 261
 
18.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 119
 
10.4%
면 96
 
8.4%
시 83
 
7.3%
산 73
 
6.4%
군 46
 
4.0%
천 35
 
3.1%
성 31
 
2.7%
서 30
 
2.6%
안 26
 
2.3%
읍 21
 
1.8%
Other values (123) 579
50.8%
Common
ValueCountFrequency (%)
261
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1139
81.4%
ASCII 261
 
18.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
261
100.0%
Hangul
ValueCountFrequency (%)
리 119
 
10.4%
면 96
 
8.4%
시 83
 
7.3%
산 73
 
6.4%
군 46
 
4.0%
천 35
 
3.1%
성 31
 
2.7%
서 30
 
2.6%
안 26
 
2.3%
읍 21
 
1.8%
Other values (123) 579
50.8%

지번
Text

Distinct125
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T05:36:49.544269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length8.547619
Min length2

Characters and Unicode

Total characters1077
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique124 ?
Unique (%)98.4%

Sample

1st row1-22 외 4필지
2nd row산22-1 외 8필지
3rd row166-1외
4th row187-13
5th row산12-1 외 4필지
ValueCountFrequency (%)
외 76
25.9%
2필 13
 
4.4%
1필 11
 
3.7%
2필지 6
 
2.0%
6필 5
 
1.7%
4필지 5
 
1.7%
1 4
 
1.4%
산6 3
 
1.0%
7필지 3
 
1.0%
10필 3
 
1.0%
Other values (148) 165
56.1%
2024-01-10T05:36:49.947469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
15.7%
1 135
12.5%
- 99
9.2%
외 92
8.5%
산 78
 
7.2%
2 78
 
7.2%
필 77
 
7.1%
6 52
 
4.8%
4 50
 
4.6%
3 44
 
4.1%
Other values (8) 203
18.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 519
48.2%
Other Letter 288
26.7%
Space Separator 169
 
15.7%
Dash Punctuation 99
 
9.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 135
26.0%
2 78
15.0%
6 52
 
10.0%
4 50
 
9.6%
3 44
 
8.5%
7 42
 
8.1%
5 40
 
7.7%
0 27
 
5.2%
8 26
 
5.0%
9 25
 
4.8%
Other Letter
ValueCountFrequency (%)
외 92
31.9%
산 78
27.1%
필 77
26.7%
지 35
 
12.2%
번 6
 
2.1%
Space Separator
ValueCountFrequency (%)
169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 99
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 789
73.3%
Hangul 288
 
26.7%

Most frequent character per script

Common
ValueCountFrequency (%)
169
21.4%
1 135
17.1%
- 99
12.5%
2 78
9.9%
6 52
 
6.6%
4 50
 
6.3%
3 44
 
5.6%
7 42
 
5.3%
5 40
 
5.1%
0 27
 
3.4%
Other values (3) 53
 
6.7%
Hangul
ValueCountFrequency (%)
외 92
31.9%
산 78
27.1%
필 77
26.7%
지 35
 
12.2%
번 6
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 789
73.3%
Hangul 288
 
26.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
21.4%
1 135
17.1%
- 99
12.5%
2 78
9.9%
6 52
 
6.6%
4 50
 
6.3%
3 44
 
5.6%
7 42
 
5.3%
5 40
 
5.1%
0 27
 
3.4%
Other values (3) 53
 
6.7%
Hangul
ValueCountFrequency (%)
외 92
31.9%
산 78
27.1%
필 77
26.7%
지 35
 
12.2%
번 6
 
2.1%

용도
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
토목용
51 
쇄골재용
21 
쇄골재,토목용
18 
쇄골재,토목,조경용
14 
토목,조경,공예용
6 
Other values (9)
16 

Length

Max length13
Median length10
Mean length5.3968254
Min length2

Unique

Unique5 ?
Unique (%)4.0%

Sample

1st row토목용
2nd row토목용
3rd row토목용
4th row쇄골재용
5th row토목용

Common Values

ValueCountFrequency (%)
토목용 51
40.5%
쇄골재용 21
16.7%
쇄골재,토목용 18
 
14.3%
쇄골재,토목,조경용 14
 
11.1%
토목,조경,공예용 6
 
4.8%
토목,조경용 4
 
3.2%
쇄골재,토목,조경,공예용 3
 
2.4%
쇄골재용 등 2
 
1.6%
쇄골재,토목,공예용 2
 
1.6%
토목용 1
 
0.8%
Other values (4) 4
 
3.2%

Length

2024-01-10T05:36:50.084269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토목용 52
40.6%
쇄골재용 23
18.0%
쇄골재,토목용 18
 
14.1%
쇄골재,토목,조경용 14
 
10.9%
토목,조경,공예용 6
 
4.7%
토목,조경용 4
 
3.1%
쇄골재,토목,조경,공예용 3
 
2.3%
등 2
 
1.6%
쇄골재,토목,공예용 2
 
1.6%
토목,공예용 1
 
0.8%
Other values (3) 3
 
2.3%

면적(천제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct80
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.714286
Minimum1
Maximum274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:36:50.192717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.25
Q117.25
median43.5
Q378.75
95-th percentile136.25
Maximum274
Range273
Interquartile range (IQR)61.5

Descriptive statistics

Standard deviation49.758755
Coefficient of variation (CV)0.90942895
Kurtosis4.9177676
Mean54.714286
Median Absolute Deviation (MAD)28.5
Skewness1.8578337
Sum6894
Variance2475.9337
MonotonicityNot monotonic
2024-01-10T05:36:50.535611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 4
 
3.2%
29 4
 
3.2%
59 4
 
3.2%
3 4
 
3.2%
7 3
 
2.4%
8 3
 
2.4%
5 3
 
2.4%
16 3
 
2.4%
28 3
 
2.4%
15 3
 
2.4%
Other values (70) 92
73.0%
ValueCountFrequency (%)
1 1
 
0.8%
2 1
 
0.8%
3 4
3.2%
4 1
 
0.8%
5 3
2.4%
6 1
 
0.8%
7 3
2.4%
8 3
2.4%
10 2
1.6%
11 1
 
0.8%
ValueCountFrequency (%)
274 1
0.8%
264 1
0.8%
208 1
0.8%
186 1
0.8%
183 1
0.8%
158 1
0.8%
137 1
0.8%
134 1
0.8%
131 1
0.8%
121 1
0.8%

수량(천세제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct121
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1138.9841
Minimum1
Maximum10934
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2024-01-10T05:36:50.660569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.5
Q190.5
median414
Q31631
95-th percentile4317.5
Maximum10934
Range10933
Interquartile range (IQR)1540.5

Descriptive statistics

Standard deviation1700.7803
Coefficient of variation (CV)1.4932432
Kurtosis10.616813
Mean1138.9841
Median Absolute Deviation (MAD)391.5
Skewness2.8623531
Sum143512
Variance2892653.6
MonotonicityNot monotonic
2024-01-10T05:36:50.779536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83 2
 
1.6%
15 2
 
1.6%
100 2
 
1.6%
136 2
 
1.6%
53 2
 
1.6%
757 1
 
0.8%
1 1
 
0.8%
4361 1
 
0.8%
2472 1
 
0.8%
708 1
 
0.8%
Other values (111) 111
88.1%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
6 1
0.8%
8 1
0.8%
9 1
0.8%
11 1
0.8%
13 1
0.8%
15 2
1.6%
17 1
0.8%
18 1
0.8%
ValueCountFrequency (%)
10934 1
0.8%
7479 1
0.8%
6795 1
0.8%
6634 1
0.8%
5280 1
0.8%
4424 1
0.8%
4361 1
0.8%
4187 1
0.8%
4153 1
0.8%
3945 1
0.8%

허가일
Date

Distinct116
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1998-07-15 00:00:00
Maximum2023-01-12 00:00:00
2024-01-10T05:36:50.898730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:51.024250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

만료일
Date

Distinct57
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum1930-04-30 00:00:00
Maximum2029-12-31 00:00:00
2024-01-10T05:36:51.151323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:51.304352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수허가자
Text

Distinct93
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-01-10T05:36:51.552144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.8095238
Min length3

Characters and Unicode

Total characters732
Distinct characters148
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

Unique71 ?
Unique (%)56.3%

Sample

1st row교보자산신탁㈜
2nd row㈜무궁화신탁
3rd row천안목천지역주택조합
4th row(주)영흥산업환경
5th row㈜에땅
ValueCountFrequency (%)
㈜금산 7
 
4.8%
외 6
 
4.1%
한라엔컴㈜ 5
 
3.4%
해미사업소 5
 
3.4%
1인 4
 
2.7%
㈜지에스아이 3
 
2.1%
㈜신석개발산업 3
 
2.1%
㈜보창산업 3
 
2.1%
삼흥육육팔팔㈜ 3
 
2.1%
용하산업㈜ 3
 
2.1%
Other values (89) 104
71.2%
2024-01-10T05:36:51.944429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 91
 
12.4%
산 51
 
7.0%
업 31
 
4.2%
발 29
 
4.0%
개 29
 
4.0%
20
 
2.7%
한 18
 
2.5%
신 16
 
2.2%
석 14
 
1.9%
아 13
 
1.8%
Other values (138) 420
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 603
82.4%
Other Symbol 91
 
12.4%
Space Separator 20
 
2.7%
Close Punctuation 6
 
0.8%
Open Punctuation 6
 
0.8%
Decimal Number 6
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 51
 
8.5%
업 31
 
5.1%
발 29
 
4.8%
개 29
 
4.8%
한 18
 
3.0%
신 16
 
2.7%
석 14
 
2.3%
아 13
 
2.2%
인 12
 
2.0%
사 11
 
1.8%
Other values (132) 379
62.9%
Decimal Number
ValueCountFrequency (%)
1 4
66.7%
2 2
33.3%
Other Symbol
ValueCountFrequency (%)
㈜ 91
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
94.8%
Common 38
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 91
 
13.1%
산 51
 
7.3%
업 31
 
4.5%
발 29
 
4.2%
개 29
 
4.2%
한 18
 
2.6%
신 16
 
2.3%
석 14
 
2.0%
아 13
 
1.9%
인 12
 
1.7%
Other values (133) 390
56.2%
Common
ValueCountFrequency (%)
20
52.6%
) 6
 
15.8%
( 6
 
15.8%
1 4
 
10.5%
2 2
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 603
82.4%
None 91
 
12.4%
ASCII 38
 
5.2%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 91
100.0%
Hangul
ValueCountFrequency (%)
산 51
 
8.5%
업 31
 
5.1%
발 29
 
4.8%
개 29
 
4.8%
한 18
 
3.0%
신 16
 
2.7%
석 14
 
2.3%
아 13
 
2.2%
인 12
 
2.0%
사 11
 
1.8%
Other values (132) 379
62.9%
ASCII
ValueCountFrequency (%)
20
52.6%
) 6
 
15.8%
( 6
 
15.8%
1 4
 
10.5%
2 2
 
5.3%

Interactions

2024-01-10T05:36:47.020313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.132004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.416192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.717934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:47.106466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.199965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.488070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.795012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:47.187571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.269730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.565991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.872358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:47.262375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.342695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.642759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T05:36:46.947878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:36:52.042019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건별사업장별토석구분유형(주된처분)소재지용도면적(천제곱미터)수량(천세제곱미터)만료일수허가자
건별1.0000.9840.5080.5680.9860.6470.2930.2640.8260.992
사업장별0.9841.0000.6060.5750.9890.6360.3300.1310.8270.998
토석구분0.5080.6061.0000.6780.9970.7240.8750.8170.9410.999
유형(주된처분)0.5680.5750.6781.0000.9700.0000.5870.5260.0000.963
소재지0.9860.9890.9970.9701.0000.8320.5780.0000.9750.999
용도0.6470.6360.7240.0000.8321.0000.5200.5420.7570.940
면적(천제곱미터)0.2930.3300.8750.5870.5780.5201.0000.7480.7810.480
수량(천세제곱미터)0.2640.1310.8170.5260.0000.5420.7481.0000.8070.657
만료일0.8260.8270.9410.0000.9750.7570.7810.8071.0000.987
수허가자0.9920.9980.9990.9630.9990.9400.4800.6570.9871.000
2024-01-10T05:36:52.153301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도유형(주된처분)토석구분
용도1.0000.0000.523
유형(주된처분)0.0001.0000.359
토석구분0.5230.3591.000
2024-01-10T05:36:52.237489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건별사업장별면적(천제곱미터)수량(천세제곱미터)토석구분유형(주된처분)용도
건별1.0001.000-0.120-0.0910.3420.3360.318
사업장별1.0001.000-0.123-0.0910.4370.3420.312
면적(천제곱미터)-0.120-0.1231.0000.8240.5840.3340.243
수량(천세제곱미터)-0.091-0.0910.8241.0000.7650.3460.222
토석구분0.3420.4370.5840.7651.0000.3590.523
유형(주된처분)0.3360.3420.3340.3460.3591.0000.000
용도0.3180.3120.2430.2220.5230.0001.000

Missing values

2024-01-10T05:36:47.378175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:36:47.521802image/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

건별사업장별토석구분유형(주된처분)소재지지번용도면적(천제곱미터)수량(천세제곱미터)허가일만료일수허가자
011토사부수적(산지전용)천안시 동남구 구성동1-22 외 4필지토목용331932019-08-272023-12-31교보자산신탁㈜
122토사부수적(산지전용)천안시 서북구 성거읍 오목리산22-1 외 8필지토목용944452021-01-292022-10-31㈜무궁화신탁
233토사부수적(산지전용)천안시 동남구 목천읍 응원리166-1외토목용809942021-04-212022-12-31천안목천지역주택조합
344석재부수적(산지전용)천안시 동남구 목천읍 소사리187-13쇄골재용30752021-11-042022-12-31(주)영흥산업환경
455토사부수적(산지전용)천안시 서북구 입장면 용정리산12-1 외 4필지토목용16602021-11-172023-08-31㈜에땅
566토사부수적(산지전용)천안시 서북구 성성동194-6 외 5필지토목용14882021-12-022022-12-31아시아신탁㈜
677토사부수적(산지전용)천안시 서북구 백석동62-6 외 4필지토목용12772016-04-302022-12-31아시아신탁㈜
788석재부수적(산지전용)천안시 동남구 성남면 대흥리560-5 외1필지쇄골재용284132022-01-102023-05-31㈜서인산업개발
899토사부수적(산지전용)천안시 동남구 용곡동462-16 외14토목용373232022-05-162024-03-31한국자산신탁㈜
91010석재부수적(산지전용)천안시 동남구 용곡동474-4 외20쇄골재용5912242022-05-162024-03-31한국자산신탁㈜
건별사업장별토석구분유형(주된처분)소재지지번용도면적(천제곱미터)수량(천세제곱미터)허가일만료일수허가자
11611789토사허가태안군 남면 신온리산137-1토목용7432013-04-042023-09-30학교법인 함주학원
11711890석재허가태안군 소원면 신덕리산266번지외 2필지쇄골재용6512672016-11-072026-10-31장전산업개발㈜
11811991석재부수적(산지일시사용-채광)태안군 근흥면 정죽리산147-48토목용131002019-03-112022-12-31㈜이에스알
11912092토사허가태안군 남면 양잠리산232번지 외 4필지토목용293722019-12-242022-12-31태안도시공사
12012193토사허가태안군 원북면 신두리64-1토목용151312020-04-162023-09-30이상현
12112294석재허가태안군 태안읍 도내리605-17번지 외 6필지토목용12182020-04-162022-10-31신왕산업
12212395토사허가태안군 고남면 누동리366-1토목용252392020-11-102024-05-31류승협
12312496토사허가태안군 태안읍 삭선리889-5토목용16632021-06-282023-05-31박한웅
12412597토사허가태안군 남면 신온리691-24 외 4필지토목용292872021-10-052023-06-30장수개발㈜
12512698토사허가태안군 남면 당암리산41-1 외 2필지토목용242372022-03-082023-12-31현대도시개발㈜