Overview

Dataset statistics

Number of variables8
Number of observations1818
Missing cells625
Missing cells (%)4.3%
Duplicate rows10
Duplicate rows (%)0.6%
Total size in memory117.3 KiB
Average record size in memory66.1 B

Variable types

DateTime1
Text4
Categorical1
Numeric2

Dataset

Description당진시 개발행위허가정보(개발행위허가에 대한 위치, 지목, 지역, 면적, 개발행위명, 허가목적, 허가일 등을 제공합니다.)
Author충청남도 당진시
URLhttps://www.data.go.kr/data/15125988/fileData.do

Alerts

Dataset has 10 (0.6%) duplicate rowsDuplicates
신청면적(제곱미터) has 548 (30.1%) missing valuesMissing
용도지구 has 32 (1.8%) missing valuesMissing
허가목적 has 45 (2.5%) missing valuesMissing

Reproduction

Analysis started2024-01-14 13:28:17.667860
Analysis finished2024-01-14 13:28:19.691972
Duration2.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

허가일자
Date

Distinct254
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
Minimum2023-01-02 00:00:00
Maximum2023-12-28 00:00:00
2024-01-14T22:28:19.772088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:28:19.926593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신청위치
Text

Distinct1429
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
2024-01-14T22:28:20.377332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.392189
Min length15

Characters and Unicode

Total characters38891
Distinct characters128
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

Unique1187 ?
Unique (%)65.3%

Sample

1st row충청남도 당진시 송악읍 본당리258-17
2nd row충청남도 당진시 송악읍 본당리258-22
3rd row충청남도 당진시 채운동 504-23
4th row충청남도 당진시 송산면 명산리 338-1
5th row충청남도 당진시 고대면 옥현리 산252
ValueCountFrequency (%)
당진시 1818
20.6%
충청남도 1814
20.6%
송악읍 350
 
4.0%
신평면 232
 
2.6%
석문면 187
 
2.1%
순성면 180
 
2.0%
고대면 146
 
1.7%
송산면 138
 
1.6%
정미면 112
 
1.3%
대호지면 95
 
1.1%
Other values (1501) 3734
42.4%
2024-01-14T22:28:21.080720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6988
18.0%
당 1915
 
4.9%
도 1893
 
4.9%
진 1881
 
4.8%
시 1872
 
4.8%
청 1845
 
4.7%
남 1817
 
4.7%
충 1814
 
4.7%
리 1645
 
4.2%
- 1408
 
3.6%
Other values (118) 15813
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23440
60.3%
Decimal Number 7055
 
18.1%
Space Separator 6988
 
18.0%
Dash Punctuation 1408
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
당 1915
 
8.2%
도 1893
 
8.1%
진 1881
 
8.0%
시 1872
 
8.0%
청 1845
 
7.9%
남 1817
 
7.8%
충 1814
 
7.7%
리 1645
 
7.0%
면 1294
 
5.5%
송 573
 
2.4%
Other values (106) 6891
29.4%
Decimal Number
ValueCountFrequency (%)
1 1354
19.2%
2 947
13.4%
3 851
12.1%
4 734
10.4%
5 633
9.0%
6 606
8.6%
7 568
8.1%
8 527
 
7.5%
0 418
 
5.9%
9 417
 
5.9%
Space Separator
ValueCountFrequency (%)
6988
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1408
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23440
60.3%
Common 15451
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
당 1915
 
8.2%
도 1893
 
8.1%
진 1881
 
8.0%
시 1872
 
8.0%
청 1845
 
7.9%
남 1817
 
7.8%
충 1814
 
7.7%
리 1645
 
7.0%
면 1294
 
5.5%
송 573
 
2.4%
Other values (106) 6891
29.4%
Common
ValueCountFrequency (%)
6988
45.2%
- 1408
 
9.1%
1 1354
 
8.8%
2 947
 
6.1%
3 851
 
5.5%
4 734
 
4.8%
5 633
 
4.1%
6 606
 
3.9%
7 568
 
3.7%
8 527
 
3.4%
Other values (2) 835
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23440
60.3%
ASCII 15451
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6988
45.2%
- 1408
 
9.1%
1 1354
 
8.8%
2 947
 
6.1%
3 851
 
5.5%
4 734
 
4.8%
5 633
 
4.1%
6 606
 
3.9%
7 568
 
3.7%
8 527
 
3.4%
Other values (2) 835
 
5.4%
Hangul
ValueCountFrequency (%)
당 1915
 
8.2%
도 1893
 
8.1%
진 1881
 
8.0%
시 1872
 
8.0%
청 1845
 
7.9%
남 1817
 
7.8%
충 1814
 
7.7%
리 1645
 
7.0%
면 1294
 
5.5%
송 573
 
2.4%
Other values (106) 6891
29.4%

지목
Categorical

Distinct21
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
임
619 
전
473 
답
326 
대
112 
<NA>
86 
Other values (16)
202 

Length

Max length4
Median length1
Mean length1.1419142
Min length1

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
임 619
34.0%
전 473
26.0%
답 326
17.9%
대 112
 
6.2%
<NA> 86
 
4.7%
목 40
 
2.2%
장 32
 
1.8%
잡 26
 
1.4%
도 25
 
1.4%
과 25
 
1.4%
Other values (11) 54
 
3.0%

Length

2024-01-14T22:28:21.290852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
임 619
34.0%
전 473
26.0%
답 326
17.9%
대 112
 
6.2%
na 86
 
4.7%
목 40
 
2.2%
장 32
 
1.8%
잡 26
 
1.4%
도 25
 
1.4%
과 25
 
1.4%
Other values (11) 54
 
3.0%

필지면적(제곱미터)
Real number (ℝ)

Distinct1161
Distinct (%)63.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4782.0195
Minimum10
Maximum102190.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2024-01-14T22:28:21.493291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile235.85
Q1660
median1487
Q34162
95-th percentile18729.55
Maximum102190.5
Range102180.5
Interquartile range (IQR)3502

Descriptive statistics

Standard deviation10000.263
Coefficient of variation (CV)2.0912217
Kurtosis30.099478
Mean4782.0195
Median Absolute Deviation (MAD)1057
Skewness4.8669402
Sum8693711.5
Variance1.0000526 × 108
MonotonicityNot monotonic
2024-01-14T22:28:21.687421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40539.0 22
 
1.2%
6930.0 15
 
0.8%
661.0 13
 
0.7%
9726.0 12
 
0.7%
9908.0 12
 
0.7%
660.0 11
 
0.6%
4148.0 9
 
0.5%
3244.0 8
 
0.4%
17954.0 8
 
0.4%
3283.0 7
 
0.4%
Other values (1151) 1701
93.6%
ValueCountFrequency (%)
10.0 1
0.1%
17.0 1
0.1%
18.0 1
0.1%
25.0 1
0.1%
27.0 1
0.1%
29.0 1
0.1%
31.0 1
0.1%
34.0 1
0.1%
36.0 1
0.1%
37.0 1
0.1%
ValueCountFrequency (%)
102190.5 1
 
0.1%
99906.0 3
0.2%
73806.9 1
 
0.1%
67584.3 1
 
0.1%
66947.1 1
 
0.1%
66067.0 1
 
0.1%
65070.0 1
 
0.1%
64321.0 4
0.2%
62278.0 1
 
0.1%
58057.0 3
0.2%

신청면적(제곱미터)
Real number (ℝ)

MISSING 

Distinct882
Distinct (%)69.4%
Missing548
Missing (%)30.1%
Infinite0
Infinite (%)0.0%
Mean2952.5279
Minimum0
Maximum217037
Zeros18
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size16.1 KiB
2024-01-14T22:28:21.939154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile212.25
Q1596.5
median940
Q31995.5
95-th percentile9772.35
Maximum217037
Range217037
Interquartile range (IQR)1399

Descriptive statistics

Standard deviation10104.831
Coefficient of variation (CV)3.4224336
Kurtosis195.97387
Mean2952.5279
Median Absolute Deviation (MAD)473
Skewness12.045604
Sum3749710.4
Variance1.021076 × 108
MonotonicityNot monotonic
2024-01-14T22:28:22.179629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
659.0 18
 
1.0%
0.0 18
 
1.0%
660.0 18
 
1.0%
500.0 7
 
0.4%
995.0 6
 
0.3%
300.0 6
 
0.3%
592.0 6
 
0.3%
992.0 6
 
0.3%
775.0 6
 
0.3%
819.0 5
 
0.3%
Other values (872) 1174
64.6%
(Missing) 548
30.1%
ValueCountFrequency (%)
0.0 18
1.0%
0.15 1
 
0.1%
4.0 2
 
0.1%
9.5 1
 
0.1%
17.0 1
 
0.1%
28.0 1
 
0.1%
36.0 1
 
0.1%
45.0 1
 
0.1%
54.0 2
 
0.1%
55.0 1
 
0.1%
ValueCountFrequency (%)
217037.0 1
 
0.1%
118494.0 1
 
0.1%
97683.0 2
0.1%
77155.0 1
 
0.1%
76267.0 1
 
0.1%
76224.0 1
 
0.1%
73746.0 3
0.2%
60427.8 1
 
0.1%
39805.0 1
 
0.1%
33875.0 1
 
0.1%

용도지역
Text

Distinct107
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size14.3 KiB
2024-01-14T22:28:22.419183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length6
Mean length6.4735974
Min length2

Characters and Unicode

Total characters11769
Distinct characters72
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)4.2%

Sample

1st row보전관리지역
2nd row가축사육제한구역, 가축사육제한구역, 가축사육제한구역,
3rd row제2종일반주거지역
4th row농림지역, 생산관리
5th row농림지역, 보전관리
ValueCountFrequency (%)
계획관리지역 1035
54.2%
생산관리지역 318
 
16.7%
농림지역 128
 
6.7%
자연녹지지역 98
 
5.1%
가축사육제한구역 80
 
4.2%
보전관리지역 67
 
3.5%
제2종일반주거지역 28
 
1.5%
일반공업지역 20
 
1.0%
게획관리지역 9
 
0.5%
보전 5
 
0.3%
Other values (87) 120
 
6.3%
2024-01-14T22:28:22.844496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 1900
16.1%
역 1848
15.7%
관 1495
12.7%
리 1490
12.7%
획 1101
9.4%
계 1094
9.3%
산 355
 
3.0%
생 351
 
3.0%
, 164
 
1.4%
농 146
 
1.2%
Other values (62) 1825
15.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11452
97.3%
Other Punctuation 181
 
1.5%
Space Separator 90
 
0.8%
Decimal Number 42
 
0.4%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1900
16.6%
역 1848
16.1%
관 1495
13.1%
리 1490
13.0%
획 1101
9.6%
계 1094
9.6%
산 355
 
3.1%
생 351
 
3.1%
농 146
 
1.3%
림 146
 
1.3%
Other values (54) 1526
13.3%
Decimal Number
ValueCountFrequency (%)
2 30
71.4%
1 11
 
26.2%
3 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 164
90.6%
/ 17
 
9.4%
Space Separator
ValueCountFrequency (%)
90
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11452
97.3%
Common 317
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1900
16.6%
역 1848
16.1%
관 1495
13.1%
리 1490
13.0%
획 1101
9.6%
계 1094
9.6%
산 355
 
3.1%
생 351
 
3.1%
농 146
 
1.3%
림 146
 
1.3%
Other values (54) 1526
13.3%
Common
ValueCountFrequency (%)
, 164
51.7%
90
28.4%
2 30
 
9.5%
/ 17
 
5.4%
1 11
 
3.5%
( 2
 
0.6%
) 2
 
0.6%
3 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11452
97.3%
ASCII 317
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 1900
16.6%
역 1848
16.1%
관 1495
13.1%
리 1490
13.0%
획 1101
9.6%
계 1094
9.6%
산 355
 
3.1%
생 351
 
3.1%
농 146
 
1.3%
림 146
 
1.3%
Other values (54) 1526
13.3%
ASCII
ValueCountFrequency (%)
, 164
51.7%
90
28.4%
2 30
 
9.5%
/ 17
 
5.4%
1 11
 
3.5%
( 2
 
0.6%
) 2
 
0.6%
3 1
 
0.3%

용도지구
Text

MISSING 

Distinct99
Distinct (%)5.5%
Missing32
Missing (%)1.8%
Memory size14.3 KiB
2024-01-14T22:28:23.056671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length8
Mean length7.0789474
Min length2

Characters and Unicode

Total characters12643
Distinct characters110
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)3.1%

Sample

1st row정보없음
2nd row정보없음
3rd row가축사육제한구역
4th row가축사육제한구역
5th row가축사육제한구역
ValueCountFrequency (%)
가축사육제한구역 1045
57.6%
준보전산지 316
 
17.4%
농업진흥구역 53
 
2.9%
정보없음 47
 
2.6%
광구 41
 
2.3%
준보전산지,가축사육 26
 
1.4%
배수구역 25
 
1.4%
하수처리구역 21
 
1.2%
접도구역 21
 
1.2%
임시 17
 
0.9%
Other values (86) 203
 
11.2%
2024-01-14T22:28:23.477777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 1302
10.3%
역 1272
10.1%
가 1150
9.1%
축 1136
9.0%
사 1132
9.0%
육 1111
8.8%
제 1080
8.5%
한 1071
8.5%
보 436
 
3.4%
지 405
 
3.2%
Other values (100) 2548
20.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12493
98.8%
Other Punctuation 110
 
0.9%
Space Separator 29
 
0.2%
Decimal Number 7
 
0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1302
10.4%
역 1272
10.2%
가 1150
9.2%
축 1136
9.1%
사 1132
9.1%
육 1111
8.9%
제 1080
8.6%
한 1071
8.6%
보 436
 
3.5%
지 405
 
3.2%
Other values (89) 2398
19.2%
Decimal Number
ValueCountFrequency (%)
3 2
28.6%
9 1
14.3%
7 1
14.3%
2 1
14.3%
1 1
14.3%
8 1
14.3%
Other Punctuation
ValueCountFrequency (%)
, 109
99.1%
？ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12493
98.8%
Common 150
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1302
10.4%
역 1272
10.2%
가 1150
9.2%
축 1136
9.1%
사 1132
9.1%
육 1111
8.9%
제 1080
8.6%
한 1071
8.6%
보 436
 
3.5%
지 405
 
3.2%
Other values (89) 2398
19.2%
Common
ValueCountFrequency (%)
, 109
72.7%
29
 
19.3%
3 2
 
1.3%
) 2
 
1.3%
( 2
 
1.3%
9 1
 
0.7%
7 1
 
0.7%
2 1
 
0.7%
？ 1
 
0.7%
1 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12491
98.8%
ASCII 149
 
1.2%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 1302
10.4%
역 1272
10.2%
가 1150
9.2%
축 1136
9.1%
사 1132
9.1%
육 1111
8.9%
제 1080
8.6%
한 1071
8.6%
보 436
 
3.5%
지 405
 
3.2%
Other values (87) 2396
19.2%
ASCII
ValueCountFrequency (%)
, 109
73.2%
29
 
19.5%
3 2
 
1.3%
) 2
 
1.3%
( 2
 
1.3%
9 1
 
0.7%
7 1
 
0.7%
2 1
 
0.7%
1 1
 
0.7%
8 1
 
0.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
50.0%
ㅈ 1
50.0%
None
ValueCountFrequency (%)
？ 1
100.0%

허가목적
Text

MISSING 

Distinct929
Distinct (%)52.4%
Missing45
Missing (%)2.5%
Memory size14.3 KiB
2024-01-14T22:28:23.741877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length126
Median length63
Mean length16.019741
Min length2

Characters and Unicode

Total characters28403
Distinct characters346
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique749 ?
Unique (%)42.2%

Sample

1st row단독주택신축-1단지
2nd row단독주택신축-3단지
3rd row주차장 부지 조성
4th row토지매매분할
5th row공유물 분할
ValueCountFrequency (%)
및 288
 
5.6%
분할 248
 
4.8%
신축 240
 
4.7%
의한 238
 
4.6%
단독주택 221
 
4.3%
부지조성 215
 
4.2%
매매에 180
 
3.5%
태양광발전시설 147
 
2.9%
개설 116
 
2.3%
진출입로 103
 
2.0%
Other values (1171) 3146
61.2%
2024-01-14T22:28:24.184299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3369
 
11.9%
설 1041
 
3.7%
지 837
 
2.9%
축 764
 
2.7%
) 742
 
2.6%
( 739
 
2.6%
매 714
 
2.5%
신 709
 
2.5%
시 573
 
2.0%
단 555
 
2.0%
Other values (336) 18360
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22358
78.7%
Space Separator 3369
 
11.9%
Close Punctuation 807
 
2.8%
Open Punctuation 807
 
2.8%
Decimal Number 531
 
1.9%
Other Punctuation 322
 
1.1%
Dash Punctuation 118
 
0.4%
Connector Punctuation 34
 
0.1%
Uppercase Letter 33
 
0.1%
Other Symbol 15
 
0.1%
Other values (2) 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 1041
 
4.7%
지 837
 
3.7%
축 764
 
3.4%
매 714
 
3.2%
신 709
 
3.2%
시 573
 
2.6%
단 555
 
2.5%
주 521
 
2.3%
조 507
 
2.3%
분 481
 
2.2%
Other values (294) 15656
70.0%
Uppercase Letter
ValueCountFrequency (%)
A 10
30.3%
B 4
 
12.1%
L 4
 
12.1%
V 3
 
9.1%
G 2
 
6.1%
N 2
 
6.1%
C 2
 
6.1%
X 1
 
3.0%
O 1
 
3.0%
S 1
 
3.0%
Other values (3) 3
 
9.1%
Decimal Number
ValueCountFrequency (%)
2 233
43.9%
1 166
31.3%
3 34
 
6.4%
0 22
 
4.1%
5 19
 
3.6%
4 16
 
3.0%
7 12
 
2.3%
6 12
 
2.3%
9 9
 
1.7%
8 8
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 255
79.2%
. 44
 
13.7%
: 12
 
3.7%
/ 5
 
1.6%
" 4
 
1.2%
· 2
 
0.6%
Math Symbol
ValueCountFrequency (%)
→ 4
66.7%
> 1
 
16.7%
~ 1
 
16.7%
Close Punctuation
ValueCountFrequency (%)
) 742
91.9%
] 65
 
8.1%
Open Punctuation
ValueCountFrequency (%)
( 739
91.6%
[ 68
 
8.4%
Other Symbol
ValueCountFrequency (%)
㎡ 14
93.3%
㈜ 1
 
6.7%
Space Separator
ValueCountFrequency (%)
3369
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 118
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 34
100.0%
Lowercase Letter
ValueCountFrequency (%)
k 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22359
78.7%
Common 6008
 
21.2%
Latin 36
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 1041
 
4.7%
지 837
 
3.7%
축 764
 
3.4%
매 714
 
3.2%
신 709
 
3.2%
시 573
 
2.6%
단 555
 
2.5%
주 521
 
2.3%
조 507
 
2.3%
분 481
 
2.2%
Other values (295) 15657
70.0%
Common
ValueCountFrequency (%)
3369
56.1%
) 742
 
12.4%
( 739
 
12.3%
, 255
 
4.2%
2 233
 
3.9%
1 166
 
2.8%
- 118
 
2.0%
[ 68
 
1.1%
] 65
 
1.1%
. 44
 
0.7%
Other values (17) 209
 
3.5%
Latin
ValueCountFrequency (%)
A 10
27.8%
B 4
 
11.1%
L 4
 
11.1%
k 3
 
8.3%
V 3
 
8.3%
G 2
 
5.6%
N 2
 
5.6%
C 2
 
5.6%
X 1
 
2.8%
O 1
 
2.8%
Other values (4) 4
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22358
78.7%
ASCII 6024
 
21.2%
CJK Compat 14
 
< 0.1%
Arrows 4
 
< 0.1%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3369
55.9%
) 742
 
12.3%
( 739
 
12.3%
, 255
 
4.2%
2 233
 
3.9%
1 166
 
2.8%
- 118
 
2.0%
[ 68
 
1.1%
] 65
 
1.1%
. 44
 
0.7%
Other values (28) 225
 
3.7%
Hangul
ValueCountFrequency (%)
설 1041
 
4.7%
지 837
 
3.7%
축 764
 
3.4%
매 714
 
3.2%
신 709
 
3.2%
시 573
 
2.6%
단 555
 
2.5%
주 521
 
2.3%
조 507
 
2.3%
분 481
 
2.2%
Other values (294) 15656
70.0%
CJK Compat
ValueCountFrequency (%)
㎡ 14
100.0%
Arrows
ValueCountFrequency (%)
→ 4
100.0%
None
ValueCountFrequency (%)
· 2
66.7%
㈜ 1
33.3%

Interactions

2024-01-14T22:28:18.882939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:28:18.489755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:28:19.028644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-14T22:28:18.732675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-14T22:28:24.285086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지목필지면적(제곱미터)신청면적(제곱미터)용도지구
지목1.0000.5830.3010.709
필지면적(제곱미터)0.5831.0000.3940.756
신청면적(제곱미터)0.3010.3941.0000.874
용도지구0.7090.7560.8741.000
2024-01-14T22:28:24.382952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
필지면적(제곱미터)신청면적(제곱미터)지목
필지면적(제곱미터)1.0000.3410.274
신청면적(제곱미터)0.3411.0000.146
지목0.2740.1461.000

Missing values

2024-01-14T22:28:19.235747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-14T22:28:19.428154image/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.
2024-01-14T22:28:19.605110image/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

허가일자신청위치지목필지면적(제곱미터)신청면적(제곱미터)용도지역용도지구허가목적
02023-12-28충청남도 당진시 송악읍 본당리258-17임599.0599.0보전관리지역정보없음단독주택신축-1단지
12023-12-28충청남도 당진시 송악읍 본당리258-22임592.0592.0가축사육제한구역, 가축사육제한구역, 가축사육제한구역,정보없음단독주택신축-3단지
22023-12-28충청남도 당진시 채운동 504-23전1118.0748.0제2종일반주거지역가축사육제한구역주차장 부지 조성
32023-12-27충청남도 당진시 송산면 명산리 338-1임10016.0<NA>농림지역, 생산관리가축사육제한구역토지매매분할
42023-12-27충청남도 당진시 고대면 옥현리 산252임15471.0<NA>농림지역, 보전관리가축사육제한구역공유물 분할
52023-12-27충청남도 당진시 신평면 부수리 8-19임819.0<NA>계획관리지역가축사육제한구역공유지분에 의한 분할
62023-12-27충청남도 당진시 석문면 삼화리 912-1답1876.03333.0농림지역농업진흥구역도정공장신축에 따른 부지조성 및 진.출입로조성
72023-12-27충청남도 당진시 신평면 부수리 8-30임667.0<NA>계획관리지역가축사육제한구역공유지분에 의한 분할
82023-12-27충청남도 당진시 송악읍 반촌리420-1전2329.0<NA>계획관리지역가축사육제한구역매매에 의한 토지분할.
92023-12-27충청남도 당진시 석문면 초락도리324전1779.0<NA>생산관리지역가축사육제한매매에 의한 분할
허가일자신청위치지목필지면적(제곱미터)신청면적(제곱미터)용도지역용도지구허가목적
18082023-01-04충청남도 당진시 대호지면 장정리 95전5600.04683.0생산관리지역가축사육제한구역관광농원부지조성 및 진입도로 개설을 위한 개발행위허가
18092023-01-04충청남도 당진시 합덕읍 소소리 1-90전1695.01845.0계획관리지역가축사육제한구역발전시설(태양광)설치
18102023-01-04충청남도 당진시 고대면 성산리 산68임7736.0<NA>계획관리지역준보전산지토지분할(공유자)분할
18112023-01-04충청남도 당진시 신평면 거산리 250과1170.01500.0자연녹지지역가축사육제한구역단독주택 및 제2종근,생(일반음식점, 사무소) 부지조성
18122023-01-03충청남도 당진시 신평면 도성리 5-1대446.04100.0계획관리지역가축사육제한구역제2종근린생활시설(제조업소 및 사무소)신축공사(변경)
18132023-01-03충청남도 당진시 정미면 승산리 98-2답376.0854.0계획관리지역가축사육제한구역우량농지 조성
18142023-01-03충청남도 당진시 고대면 성산리 597-1전1673.0<NA>계획관리지역가축사육제한구역매매분할
18152023-01-03충청남도 당진시 신평면 거산리 293-5임886.0992.0자연녹지지역준보전산지,도로구역제2종근린생활시설(수리점)신축및 진출입로 개설
18162023-01-02충청남도 당진시 석문면 교로리 100-188잡624.0624.0계획관리지역가축사육제한구역단독주택 신축(사업기간 연장에 따른 변경허가)
18172023-01-02충청남도 당진시 송악읍 반촌리 591전774.01882.0계획관리지역<NA>공장 증설

Duplicate rows

Most frequently occurring

허가일자신청위치지목필지면적(제곱미터)신청면적(제곱미터)용도지역용도지구허가목적# duplicates
12023-02-22충청남도 당진시 송악읍 가학리 303답4148.0300.0계획관리지역가축사육제한구역단독주택 신축3
82023-12-22충청남도 당진시 대호지면 송전리 406-18목40539.0774.0생산관리지역가축사육제한구역태양광발전시설 부지조성3
02023-02-06충청남도 당진시 순성면 본리 96-7전6930.0886.0계획관리지역가축사육제한구역태양광 발전시설 부지조성2
22023-05-17충청남도 당진시 송악읍 가학리 272답1448.0574.0계획관리지역가축사육제한구역단독주택 신축2
32023-06-28충청남도 당진시 송악읍 광명리 317-9전3759.0999.0생산관리지역가축사육제한구역단독주택신축 및 진입도로개설2
42023-07-05충청남도 당진시 순성면 백석리 423-13임5166.0<NA>계획관리지역준보전산지건축물을 이용한 공작물설치 (태양광발전시설)2
52023-08-31충청남도 당진시 송산면 부곡리 76대1564.5<NA>계획관리지역가축사육제한구역공작물설치(태양광발전설비)2
62023-09-25충청남도 당진시 송악읍 청금리 316-12장3675.0<NA>계획관리지역가축사육제한구역태양광발전시설 설치2
72023-12-18충청남도 당진시 송악읍 가교리 449답2489.0835.0계획관리지역가축사육제한구역태양광 발전소 부지조성2
92023-12-22충청남도 당진시 대호지면 송전리 406-18목40539.0775.0생산관리지역가축사육제한구역태양광발전시설 부지조성2