Overview

Dataset statistics

Number of variables12
Number of observations225
Missing cells225
Missing cells (%)8.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.4 KiB
Average record size in memory97.6 B

Variable types

Numeric1
Text6
Categorical5

Dataset

Description태양광 허가 및 개발행위 후 준공 완료된 대상지 목록입니다. 지번은 개인정보이므로 * 표시 되어있으며 추가 문의 사항은 일자리경제과 에너지관리팀(055-749-8174)으로 연락주시면 감사하겠습니다.
URLhttps://www.data.go.kr/data/15113362/fileData.do

Alerts

비 고(변경사항) has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 개발행위 용도High correlation
개발행위목적 is highly overall correlated with 개발행위 용도High correlation
개발행위 용도 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
비 고(변경사항) has 224 (99.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:46:01.776057
Analysis finished2023-12-12 13:46:02.934031
Duration1.16 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct225
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.80889
Minimum1
Maximum287
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T22:46:03.007450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile13.2
Q165
median125
Q3186
95-th percentile267.8
Maximum287
Range286
Interquartile range (IQR)121

Descriptive statistics

Standard deviation77.402438
Coefficient of variation (CV)0.60090914
Kurtosis-0.8651501
Mean128.80889
Median Absolute Deviation (MAD)61
Skewness0.22853533
Sum28982
Variance5991.1374
MonotonicityStrictly increasing
2023-12-12T22:46:03.163873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
187 1
 
0.4%
157 1
 
0.4%
158 1
 
0.4%
159 1
 
0.4%
160 1
 
0.4%
161 1
 
0.4%
163 1
 
0.4%
164 1
 
0.4%
165 1
 
0.4%
Other values (215) 215
95.6%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
11 1
0.4%
ValueCountFrequency (%)
287 1
0.4%
286 1
0.4%
285 1
0.4%
284 1
0.4%
283 1
0.4%
282 1
0.4%
280 1
0.4%
279 1
0.4%
271 1
0.4%
270 1
0.4%

개발행위장소
Text

Distinct143
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T22:46:03.406268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length32
Mean length17.071111
Min length8

Characters and Unicode

Total characters3841
Distinct characters112
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique102 ?
Unique (%)45.3%

Sample

1st row금산면 속사리 ***-*, ***-*
2nd row명석면 우수리 ***-*
3rd row명석면 우수리 ***-*
4th row진주시 초전북로**번길 **-*
5th row미천면 상미리 **
ValueCountFrequency (%)
132
 
16.0%
번지 129
 
15.6%
진주시 34
 
4.1%
수곡면 31
 
3.8%
지수면 27
 
3.3%
사봉면 27
 
3.3%
청원리 25
 
3.0%
필지 25
 
3.0%
외 25
 
3.0%
미천면 24
 
2.9%
Other values (102) 347
42.0%
2023-12-12T22:46:04.040696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 1096
28.5%
605
15.8%
지 206
 
5.4%
면 203
 
5.3%
리 189
 
4.9%
번 150
 
3.9%
- 134
 
3.5%
곡 95
 
2.5%
수 65
 
1.7%
진 60
 
1.6%
Other values (102) 1038
27.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1914
49.8%
Other Punctuation 1155
30.1%
Space Separator 605
 
15.8%
Dash Punctuation 134
 
3.5%
Open Punctuation 14
 
0.4%
Close Punctuation 14
 
0.4%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 206
 
10.8%
면 203
 
10.6%
리 189
 
9.9%
번 150
 
7.8%
곡 95
 
5.0%
수 65
 
3.4%
진 60
 
3.1%
천 51
 
2.7%
주 48
 
2.5%
사 46
 
2.4%
Other values (95) 801
41.8%
Other Punctuation
ValueCountFrequency (%)
* 1096
94.9%
, 59
 
5.1%
Space Separator
ValueCountFrequency (%)
605
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Math Symbol
ValueCountFrequency (%)
+ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1927
50.2%
Hangul 1914
49.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 206
 
10.8%
면 203
 
10.6%
리 189
 
9.9%
번 150
 
7.8%
곡 95
 
5.0%
수 65
 
3.4%
진 60
 
3.1%
천 51
 
2.7%
주 48
 
2.5%
사 46
 
2.4%
Other values (95) 801
41.8%
Common
ValueCountFrequency (%)
* 1096
56.9%
605
31.4%
- 134
 
7.0%
, 59
 
3.1%
( 14
 
0.7%
) 14
 
0.7%
+ 5
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1927
50.2%
Hangul 1914
49.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 1096
56.9%
605
31.4%
- 134
 
7.0%
, 59
 
3.1%
( 14
 
0.7%
) 14
 
0.7%
+ 5
 
0.3%
Hangul
ValueCountFrequency (%)
지 206
 
10.8%
면 203
 
10.6%
리 189
 
9.9%
번 150
 
7.8%
곡 95
 
5.0%
수 65
 
3.4%
진 60
 
3.1%
천 51
 
2.7%
주 48
 
2.5%
사 46
 
2.4%
Other values (95) 801
41.8%

지목
Categorical

Distinct29
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
답
112 
공장용지
20 
대
19 
공장
 
11
목
 
7
Other values (24)
56 

Length

Max length5
Median length1
Mean length1.5688889
Min length1

Unique

Unique10 ?
Unique (%)4.4%

Sample

1st row주
2nd row대
3rd row대
4th row차
5th row과

Common Values

ValueCountFrequency (%)
답 112
49.8%
공장용지 20
 
8.9%
대 19
 
8.4%
공장 11
 
4.9%
목 7
 
3.1%
전 6
 
2.7%
장 6
 
2.7%
대지 5
 
2.2%
답+전 5
 
2.2%
창고용지 4
 
1.8%
Other values (19) 30
 
13.3%

Length

2023-12-12T22:46:04.181886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
답 114
50.7%
대 20
 
8.9%
공장용지 20
 
8.9%
공장 11
 
4.9%
장 9
 
4.0%
목 7
 
3.1%
전 6
 
2.7%
대지 5
 
2.2%
답+전 5
 
2.2%
창고용지 4
 
1.8%
Other values (15) 24
 
10.7%

허가면적(제곱미터)
Text

Distinct188
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T22:46:04.442655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length4.7244444
Min length2

Characters and Unicode

Total characters1063
Distinct characters37
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)72.0%

Sample

1st row468
2nd row375
3rd row375
4th row895
5th row1955
ValueCountFrequency (%)
900 5
 
2.1%
457.94 4
 
1.7%
390 4
 
1.7%
414.94 3
 
1.3%
450 3
 
1.3%
476.56 3
 
1.3%
149 3
 
1.3%
700 3
 
1.3%
1176 2
 
0.9%
공유수면 2
 
0.9%
Other values (186) 203
86.4%
2023-12-12T22:46:04.861277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 144
13.5%
0 129
12.1%
4 109
10.3%
9 98
9.2%
2 84
7.9%
5 82
7.7%
6 74
7.0%
7 66
6.2%
8 62
5.8%
3 61
 
5.7%
Other values (27) 154
14.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 909
85.5%
Other Punctuation 47
 
4.4%
Other Letter 47
 
4.4%
Space Separator 28
 
2.6%
Math Symbol 14
 
1.3%
Open Punctuation 9
 
0.8%
Close Punctuation 9
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 8
17.0%
로 6
12.8%
제 5
10.6%
도 4
 
8.5%
지 3
 
6.4%
입 2
 
4.3%
진 2
 
4.3%
부 2
 
4.3%
면 2
 
4.3%
수 2
 
4.3%
Other values (10) 11
23.4%
Decimal Number
ValueCountFrequency (%)
1 144
15.8%
0 129
14.2%
4 109
12.0%
9 98
10.8%
2 84
9.2%
5 82
9.0%
6 74
8.1%
7 66
7.3%
8 62
6.8%
3 61
6.7%
Other Punctuation
ValueCountFrequency (%)
. 42
89.4%
, 3
 
6.4%
: 2
 
4.3%
Space Separator
ValueCountFrequency (%)
28
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1016
95.6%
Hangul 47
 
4.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 8
17.0%
로 6
12.8%
제 5
10.6%
도 4
 
8.5%
지 3
 
6.4%
입 2
 
4.3%
진 2
 
4.3%
부 2
 
4.3%
면 2
 
4.3%
수 2
 
4.3%
Other values (10) 11
23.4%
Common
ValueCountFrequency (%)
1 144
14.2%
0 129
12.7%
4 109
10.7%
9 98
9.6%
2 84
8.3%
5 82
8.1%
6 74
7.3%
7 66
6.5%
8 62
6.1%
3 61
6.0%
Other values (7) 107
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1016
95.6%
Hangul 47
 
4.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 144
14.2%
0 129
12.7%
4 109
10.7%
9 98
9.6%
2 84
8.3%
5 82
8.1%
6 74
7.3%
7 66
6.5%
8 62
6.1%
3 61
6.0%
Other values (7) 107
10.5%
Hangul
ValueCountFrequency (%)
공 8
17.0%
로 6
12.8%
제 5
10.6%
도 4
 
8.5%
지 3
 
6.4%
입 2
 
4.3%
진 2
 
4.3%
부 2
 
4.3%
면 2
 
4.3%
수 2
 
4.3%
Other values (10) 11
23.4%

개발행위목적
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
공작물설치
100 
공작물설치
54 
토지형질변경 및 공작물 설치
39 
토지형질변경 및 공작물 설치
17 
공작물 설치
 
7
Other values (5)
 
8

Length

Max length17
Median length16
Mean length8.5688889
Min length5

Unique

Unique3 ?
Unique (%)1.3%

Sample

1st row공작물설치
2nd row 공작물설치
3rd row 공작물설치
4th row 공작물설치
5th row 공작물설치

Common Values

ValueCountFrequency (%)
공작물설치 100
44.4%
공작물설치 54
24.0%
토지형질변경 및 공작물 설치 39
 
17.3%
토지형질변경 및 공작물 설치 17
 
7.6%
공작물 설치 7
 
3.1%
토지형질변경 3
 
1.3%
토지형질변경 및 공작물설치 2
 
0.9%
토지형질변경 및 공작물설치 1
 
0.4%
공작물설치(태양광발전시설) 1
 
0.4%
공작물설치+토지형질변경 1
 
0.4%

Length

2023-12-12T22:46:05.016437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:46:05.156491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공작물설치 157
38.7%
공작물 63
15.5%
설치 63
15.5%
토지형질변경 62
 
15.3%
및 59
 
14.5%
공작물설치(태양광발전시설 1
 
0.2%
공작물설치+토지형질변경 1
 
0.2%

용도지역구분
Categorical

Distinct22
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
농림지역
53 
생산관리
38 
계획관리
30 
자연녹지
19 
일반공업
19 
Other values (17)
66 

Length

Max length16
Median length4
Mean length4.4755556
Min length2

Unique

Unique5 ?
Unique (%)2.2%

Sample

1st row자연녹지
2nd row자연녹지
3rd row자연녹지
4th row제2종일반주거지역
5th row생산관리지역

Common Values

ValueCountFrequency (%)
농림지역 53
23.6%
생산관리 38
16.9%
계획관리 30
13.3%
자연녹지 19
 
8.4%
일반공업 19
 
8.4%
보전관리 17
 
7.6%
일반공업지역 8
 
3.6%
생산녹지 7
 
3.1%
농림 5
 
2.2%
농림지역+보전관리 4
 
1.8%
Other values (12) 25
11.1%

Length

2023-12-12T22:46:05.320586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
농림지역 53
23.6%
생산관리 38
16.9%
계획관리 30
13.3%
자연녹지 19
 
8.4%
일반공업 19
 
8.4%
보전관리 17
 
7.6%
일반공업지역 8
 
3.6%
생산녹지 7
 
3.1%
농림 5
 
2.2%
농림+생산관리 4
 
1.8%
Other values (12) 25
11.1%

개발행위 용도
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
태양광발전
64 
태양광발전(건물위)
26 
태양광(옥상 위)
21 
태양광발전시설(건축물 위)
20 
태양광발전시설(옥상위)
18 
Other values (20)
76 

Length

Max length17
Median length13
Mean length9.2444444
Min length5

Unique

Unique10 ?
Unique (%)4.4%

Sample

1st row태양광발전
2nd row태양광(옥상 위)
3rd row태양광(옥상 위)
4th row태양광(옥상 위)
5th row태양광발전시설

Common Values

ValueCountFrequency (%)
태양광발전 64
28.4%
태양광발전(건물위) 26
11.6%
태양광(옥상 위) 21
 
9.3%
태양광발전시설(건축물 위) 20
 
8.9%
태양광발전시설(옥상위) 18
 
8.0%
태양광발전시설 15
 
6.7%
태양광발전시설(토지 위) 12
 
5.3%
태양광발전시설 설치(건축물 위) 7
 
3.1%
태양광발전(옥상위) 7
 
3.1%
태양광(지붕위) 6
 
2.7%
Other values (15) 29
12.9%

Length

2023-12-12T22:46:05.454722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
위 69
22.9%
태양광발전 64
21.3%
태양광발전(건물위 26
 
8.6%
태양광발전시설 22
 
7.3%
태양광(옥상 21
 
7.0%
태양광발전시설(건축물 20
 
6.6%
태양광발전시설(옥상위 18
 
6.0%
태양광발전시설(토지 16
 
5.3%
설치(건축물 7
 
2.3%
태양광발전(옥상위 7
 
2.3%
Other values (15) 31
10.3%

개발행위 면적(제곱미터)
Text

Distinct182
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T22:46:05.684247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length3
Mean length4.2488889
Min length2

Characters and Unicode

Total characters956
Distinct characters33
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique152 ?
Unique (%)67.6%

Sample

1st row468
2nd row375
3rd row375
4th row895
5th row1955
ValueCountFrequency (%)
900 5
 
2.2%
458 4
 
1.7%
390 4
 
1.7%
476.56 3
 
1.3%
450 3
 
1.3%
700 3
 
1.3%
149 3
 
1.3%
414.94 3
 
1.3%
849 3
 
1.3%
463 3
 
1.3%
Other values (177) 198
85.3%
2023-12-12T22:46:06.099185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 138
14.4%
0 122
12.8%
4 108
11.3%
5 83
8.7%
9 77
8.1%
2 74
7.7%
6 64
6.7%
3 62
6.5%
8 60
6.3%
7 53
 
5.5%
Other values (23) 115
12.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 841
88.0%
Other Letter 57
 
6.0%
Other Punctuation 29
 
3.0%
Math Symbol 14
 
1.5%
Space Separator 11
 
1.2%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 7
12.3%
변 5
8.8%
경 5
8.8%
물 5
8.8%
작 5
8.8%
토 5
8.8%
지 5
8.8%
질 5
8.8%
형 3
 
5.3%
혈 2
 
3.5%
Other values (8) 10
17.5%
Decimal Number
ValueCountFrequency (%)
1 138
16.4%
0 122
14.5%
4 108
12.8%
5 83
9.9%
9 77
9.2%
2 74
8.8%
6 64
7.6%
3 62
7.4%
8 60
7.1%
7 53
 
6.3%
Other Punctuation
ValueCountFrequency (%)
. 29
100.0%
Math Symbol
ValueCountFrequency (%)
+ 14
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 899
94.0%
Hangul 57
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 7
12.3%
변 5
8.8%
경 5
8.8%
물 5
8.8%
작 5
8.8%
토 5
8.8%
지 5
8.8%
질 5
8.8%
형 3
 
5.3%
혈 2
 
3.5%
Other values (8) 10
17.5%
Common
ValueCountFrequency (%)
1 138
15.4%
0 122
13.6%
4 108
12.0%
5 83
9.2%
9 77
8.6%
2 74
8.2%
6 64
7.1%
3 62
6.9%
8 60
6.7%
7 53
 
5.9%
Other values (5) 58
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 899
94.0%
Hangul 57
 
6.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 138
15.4%
0 122
13.6%
4 108
12.0%
5 83
9.2%
9 77
8.6%
2 74
8.2%
6 64
7.1%
3 62
6.9%
8 60
6.7%
7 53
 
5.9%
Other values (5) 58
6.5%
Hangul
ValueCountFrequency (%)
공 7
12.3%
변 5
8.8%
경 5
8.8%
물 5
8.8%
작 5
8.8%
토 5
8.8%
지 5
8.8%
질 5
8.8%
형 3
 
5.3%
혈 2
 
3.5%
Other values (8) 10
17.5%

허가기간
Text

Distinct125
Distinct (%)55.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T22:46:06.310248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length21
Mean length21.933333
Min length10

Characters and Unicode

Total characters4935
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)36.9%

Sample

1st row2017-11-27
2nd row2019-01-25~2019-04-30
3rd row2019-01-25~2019-04-30
4th row2019-02-12~2020-06-30
5th row2019-02-22~2021-02-28
ValueCountFrequency (%)
2020-05-14~2022-04-30 7
 
3.1%
2022-09-22~2024-9-30 7
 
3.1%
2020-03-03~2022-03-31 6
 
2.7%
2019-09-02~2021-08-31 6
 
2.7%
2022-01-25~2024-01-31 6
 
2.7%
2022-11-10~2024-11-30 5
 
2.2%
2020-07-03~2021-07-03 5
 
2.2%
2020-08-31~2021-09-30 5
 
2.2%
2020-06-01~2021-06-30 5
 
2.2%
2020-04-03~2021-04-30 4
 
1.8%
Other values (115) 169
75.1%
2023-12-12T22:46:06.668001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1217
24.7%
2 1134
23.0%
- 944
19.1%
1 580
11.8%
3 296
 
6.0%
~ 226
 
4.6%
9 163
 
3.3%
4 118
 
2.4%
5 84
 
1.7%
6 60
 
1.2%
Other values (3) 113
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3746
75.9%
Dash Punctuation 944
 
19.1%
Math Symbol 245
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1217
32.5%
2 1134
30.3%
1 580
15.5%
3 296
 
7.9%
9 163
 
4.4%
4 118
 
3.2%
5 84
 
2.2%
6 60
 
1.6%
7 49
 
1.3%
8 45
 
1.2%
Math Symbol
ValueCountFrequency (%)
~ 226
92.2%
+ 19
 
7.8%
Dash Punctuation
ValueCountFrequency (%)
- 944
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4935
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1217
24.7%
2 1134
23.0%
- 944
19.1%
1 580
11.8%
3 296
 
6.0%
~ 226
 
4.6%
9 163
 
3.3%
4 118
 
2.4%
5 84
 
1.7%
6 60
 
1.2%
Other values (3) 113
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4935
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1217
24.7%
2 1134
23.0%
- 944
19.1%
1 580
11.8%
3 296
 
6.0%
~ 226
 
4.6%
9 163
 
3.3%
4 118
 
2.4%
5 84
 
1.7%
6 60
 
1.2%
Other values (3) 113
 
2.3%

허가준공일
Text

Distinct108
Distinct (%)48.2%
Missing1
Missing (%)0.4%
Memory size1.9 KiB
2023-12-12T22:46:06.985361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.9910714
Min length6

Characters and Unicode

Total characters2238
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)28.6%

Sample

1st row2018-02-23
2nd row2019-03-05
3rd row2019-03-05
4th row2020-02-14
5th row2020-04-13
ValueCountFrequency (%)
2023-01-31 11
 
4.9%
2021-02-22 10
 
4.5%
2021-02-04 9
 
4.0%
2020-11-23 9
 
4.0%
2020-09-07 6
 
2.7%
2023-03-03 6
 
2.7%
2020-11-10 5
 
2.2%
2021-01-19 5
 
2.2%
2021-08-02 5
 
2.2%
2023-03-15 5
 
2.2%
Other values (98) 153
68.3%
2023-12-12T22:46:07.491732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 590
26.4%
0 571
25.5%
- 448
20.0%
1 296
13.2%
3 116
 
5.2%
9 63
 
2.8%
4 35
 
1.6%
8 34
 
1.5%
6 34
 
1.5%
7 28
 
1.3%
Other values (2) 23
 
1.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1789
79.9%
Dash Punctuation 448
 
20.0%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 590
33.0%
0 571
31.9%
1 296
16.5%
3 116
 
6.5%
9 63
 
3.5%
4 35
 
2.0%
8 34
 
1.9%
6 34
 
1.9%
7 28
 
1.6%
5 22
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 448
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2238
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 590
26.4%
0 571
25.5%
- 448
20.0%
1 296
13.2%
3 116
 
5.2%
9 63
 
2.8%
4 35
 
1.6%
8 34
 
1.5%
6 34
 
1.5%
7 28
 
1.3%
Other values (2) 23
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2238
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 590
26.4%
0 571
25.5%
- 448
20.0%
1 296
13.2%
3 116
 
5.2%
9 63
 
2.8%
4 35
 
1.6%
8 34
 
1.5%
6 34
 
1.5%
7 28
 
1.3%
Other values (2) 23
 
1.0%

비 고(변경사항)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing224
Missing (%)99.6%
Memory size1.9 KiB
2023-12-12T22:46:07.634635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters5
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)100.0%

Sample

1st row85.8kw
ValueCountFrequency (%)
85.8kw 1
100.0%
2023-12-12T22:46:07.846649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 2
33.3%
5 1
16.7%
. 1
16.7%
k 1
16.7%
w 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3
50.0%
Lowercase Letter 2
33.3%
Other Punctuation 1
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 2
66.7%
5 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
w 1
50.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4
66.7%
Latin 2
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
8 2
50.0%
5 1
25.0%
. 1
25.0%
Latin
ValueCountFrequency (%)
k 1
50.0%
w 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 2
33.3%
5 1
16.7%
. 1
16.7%
k 1
16.7%
w 1
16.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-04-17
225 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-04-17
2nd row2023-04-17
3rd row2023-04-17
4th row2023-04-17
5th row2023-04-17

Common Values

ValueCountFrequency (%)
2023-04-17 225
100.0%

Length

2023-12-12T22:46:07.963163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:46:08.055863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-04-17 225
100.0%

Interactions

2023-12-12T22:46:02.430872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:46:08.114584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지목개발행위목적용도지역구분개발행위 용도
연번1.0000.6480.8580.7450.915
지목0.6481.0000.0000.8220.880
개발행위목적0.8580.0001.0000.7290.898
용도지역구분0.7450.8220.7291.0000.839
개발행위 용도0.9150.8800.8980.8391.000
2023-12-12T22:46:08.198933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
개발행위목적지목개발행위 용도용도지역구분
개발행위목적1.0000.0000.5700.361
지목0.0001.0000.4130.347
개발행위 용도0.5700.4131.0000.382
용도지역구분0.3610.3470.3821.000
2023-12-12T22:46:08.281665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지목개발행위목적용도지역구분개발행위 용도
연번1.0000.2780.4310.3770.608
지목0.2781.0000.0000.3470.413
개발행위목적0.4310.0001.0000.3610.570
용도지역구분0.3770.3470.3611.0000.382
개발행위 용도0.6080.4130.5700.3821.000

Missing values

2023-12-12T22:46:02.580881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:46:02.758152image/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.
2023-12-12T22:46:02.885682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번개발행위장소지목허가면적(제곱미터)개발행위목적용도지역구분개발행위 용도개발행위 면적(제곱미터)허가기간허가준공일비 고(변경사항)데이터기준일
01금산면 속사리 ***-*, ***-*주468공작물설치자연녹지태양광발전4682017-11-272018-02-2385.8kw2023-04-17
12명석면 우수리 ***-*대375공작물설치자연녹지태양광(옥상 위)3752019-01-25~2019-04-302019-03-05<NA>2023-04-17
23명석면 우수리 ***-*대375공작물설치자연녹지태양광(옥상 위)3752019-01-25~2019-04-302019-03-05<NA>2023-04-17
34진주시 초전북로**번길 **-*차895공작물설치제2종일반주거지역태양광(옥상 위)8952019-02-12~2020-06-302020-02-14<NA>2023-04-17
45미천면 상미리 **과1955공작물설치생산관리지역태양광발전시설19552019-02-22~2021-02-282020-04-13<NA>2023-04-17
56미천면 상미리 **과1060공작물설치생산관리지역태양광발전시설10602019-02-22~2021-02-282021-03-16<NA>2023-04-17
68금산면 갈전리 ****대지105공작물설치자연녹지태양광(옥상 위)1052019-02-27~2021-03-192019-07-25<NA>2023-04-17
79진성면 구천리 ***, ***-*, ***-*, ***답6022(2189)공작물설치계획관리태양광발전시설21892019-03-12~2021-03-112019-10-18<NA>2023-04-17
810문산읍 월아산로***번길 **장884공작물설치일반공업지역태양광(옥상 위)8842019-03-20~2019-05-302019-05-15<NA>2023-04-17
911진성면 천곡리 **, **-*, **-*, **-*공장2250공작물설치계획관리태양광(옥상 위)11252019-04-04~2019-05-31+2019-06-302019-06-28<NA>2023-04-17
연번개발행위장소지목허가면적(제곱미터)개발행위목적용도지역구분개발행위 용도개발행위 면적(제곱미터)허가기간허가준공일비 고(변경사항)데이터기준일
215270미천면 어옥리 ***, ***-*번지 주*동, **동답98.42공작물 설치농림지역태양광발전시설 설치(건축물 위)98.422022-09-22~2024-9-302023-01-31<NA>2023-04-17
216271미천면 어옥리 ***, ***-*번지 주**동, **동답290.08공작물 설치농림지역태양광발전시설 설치(건축물 위)290.082022-09-22~2024-9-302023-01-31<NA>2023-04-17
217279사봉면 산업단지로**번길 **-**공장용지457.94공작물설치일반공업태양광발전시설(건축물 위)4582022-11-16~2024-11-302023-03-15<NA>2023-04-17
218280문산읍 삼곡리 ****-*공장용지237.28공작물설치일반공업지역태양광발전시설(건축물 위)2372022-10-28~2024-10-312023-01-12<NA>2023-04-17
219282사봉면 산업단지로 **번길 **-**공장용지457.94공작물설치일반공업태양광발전시설(건축물 위)4582022-11-10~2024-11-302023-03-15<NA>2023-04-17
220283충무공동 ***대389공작물설치제2종일반주거지역태양광발전시설(PPA)3892022-11-10~2024-11-302022-12-27<NA>2023-04-17
221284사봉면 산업단지로**번길 **-**공장용지457.94공작물설치일반공업지역태양광발전시설(건축물 위)4582022-11-10~2024-11-302023-03-15<NA>2023-04-17
222285사봉면 산업단지로**번길 **-**공장용지457.94공작물설치일반공업지역태양광발전시설(건축물 위)4582022-11-10~2024-11-302023-03-15<NA>2023-04-17
223286사봉면 산업단지로**번길 **-**공장용지23009공작물설치일반공업지역태양광발전시설(건축물 위)2302022-11-10~2024-11-302023-03-15<NA>2023-04-17
224287수곡면 사곡리 ***-*번지답토지형질변경1650+공작물설치 754.6공작물설치+토지형질변경보전관리지역태양광발전시설(토지위)토지형질변경1650+공작물설치 754.62022-11-30~2023-11-292023-02-10<NA>2023-04-17