Overview

Dataset statistics

Number of variables6
Number of observations47
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory51.7 B

Variable types

Text2
Numeric1
Categorical2
DateTime1

Dataset

Description도시계획 개발관련 정보입니다(경상북도 도시개발제한구역 해제 위치, 구역명칭, 면적, 유형, 고시번호 현황입니다.)
Author경상북도
URLhttps://www.data.go.kr/data/15063091/fileData.do

Alerts

유형 is highly overall correlated with 고시번호High correlation
고시번호 is highly overall correlated with 유형High correlation
유형 is highly imbalanced (68.3%)Imbalance
위치 has unique valuesUnique
구역명칭 has unique valuesUnique
면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2024-04-21 12:09:34.137802
Analysis finished2024-04-21 12:09:35.311790
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

위치
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-04-21T21:09:36.023591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length21.06383
Min length14

Characters and Unicode

Total characters990
Distinct characters65
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

Unique47 ?
Unique (%)100.0%

Sample

1st row경북 경산시 하양읍 청천리 583번지 일원
2nd row경북 경산시 하양읍 남하1리 525번지 일원
3rd row경북 경산시 하양읍 남하2리 168번지 일원
4th row경북 경산시 하양읍 환상2리 582번지 일원
5th row경북 경산시 하양읍 환상3리 501번지 일원
ValueCountFrequency (%)
경북 47
17.9%
일원 37
14.1%
칠곡군 31
 
11.8%
지천면 19
 
7.3%
동명면 11
 
4.2%
고령군 8
 
3.1%
경산시 7
 
2.7%
다산면 6
 
2.3%
하양읍 5
 
1.9%
연호리 4
 
1.5%
Other values (69) 87
33.2%
2024-04-21T21:09:37.313514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
216
21.8%
58
 
5.9%
47
 
4.7%
44
 
4.4%
44
 
4.4%
44
 
4.4%
39
 
3.9%
38
 
3.8%
32
 
3.2%
31
 
3.1%
Other values (55) 397
40.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 623
62.9%
Space Separator 216
 
21.8%
Decimal Number 144
 
14.5%
Dash Punctuation 7
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
 
9.3%
47
 
7.5%
44
 
7.1%
44
 
7.1%
44
 
7.1%
39
 
6.3%
38
 
6.1%
32
 
5.1%
31
 
5.0%
31
 
5.0%
Other values (43) 215
34.5%
Decimal Number
ValueCountFrequency (%)
1 25
17.4%
5 21
14.6%
2 16
11.1%
6 16
11.1%
8 13
9.0%
3 13
9.0%
0 11
7.6%
7 10
 
6.9%
9 10
 
6.9%
4 9
 
6.2%
Space Separator
ValueCountFrequency (%)
216
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 623
62.9%
Common 367
37.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
 
9.3%
47
 
7.5%
44
 
7.1%
44
 
7.1%
44
 
7.1%
39
 
6.3%
38
 
6.1%
32
 
5.1%
31
 
5.0%
31
 
5.0%
Other values (43) 215
34.5%
Common
ValueCountFrequency (%)
216
58.9%
1 25
 
6.8%
5 21
 
5.7%
2 16
 
4.4%
6 16
 
4.4%
8 13
 
3.5%
3 13
 
3.5%
0 11
 
3.0%
7 10
 
2.7%
9 10
 
2.7%
Other values (2) 16
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 623
62.9%
ASCII 367
37.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
216
58.9%
1 25
 
6.8%
5 21
 
5.7%
2 16
 
4.4%
6 16
 
4.4%
8 13
 
3.5%
3 13
 
3.5%
0 11
 
3.0%
7 10
 
2.7%
9 10
 
2.7%
Other values (2) 16
 
4.4%
Hangul
ValueCountFrequency (%)
58
 
9.3%
47
 
7.5%
44
 
7.1%
44
 
7.1%
44
 
7.1%
39
 
6.3%
38
 
6.1%
32
 
5.1%
31
 
5.0%
31
 
5.0%
Other values (43) 215
34.5%

구역명칭
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size504.0 B
2024-04-21T21:09:38.052646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.1276596
Min length4

Characters and Unicode

Total characters241
Distinct characters80
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row 청천지구
2nd row 남하지구
3rd row 사탄지구
4th row 환상지구
5th row 고낭이지구
ValueCountFrequency (%)
청천지구 1
 
2.1%
고방지구 1
 
2.1%
덕천 1
 
2.1%
널동 1
 
2.1%
영청 1
 
2.1%
내오 1
 
2.1%
외오 1
 
2.1%
백계 1
 
2.1%
지천역 1
 
2.1%
돔암 1
 
2.1%
Other values (38) 38
79.2%
2024-04-21T21:09:38.982574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
39.4%
22
 
9.1%
14
 
5.8%
4
 
1.7%
4
 
1.7%
4
 
1.7%
3
 
1.2%
3
 
1.2%
1 3
 
1.2%
3
 
1.2%
Other values (70) 86
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 136
56.4%
Space Separator 95
39.4%
Decimal Number 10
 
4.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
22
 
16.2%
14
 
10.3%
4
 
2.9%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
2
 
1.5%
2
 
1.5%
Other values (63) 75
55.1%
Decimal Number
ValueCountFrequency (%)
1 3
30.0%
9 2
20.0%
2 2
20.0%
6 1
 
10.0%
3 1
 
10.0%
0 1
 
10.0%
Space Separator
ValueCountFrequency (%)
95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 136
56.4%
Common 105
43.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
22
 
16.2%
14
 
10.3%
4
 
2.9%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
2
 
1.5%
2
 
1.5%
Other values (63) 75
55.1%
Common
ValueCountFrequency (%)
95
90.5%
1 3
 
2.9%
9 2
 
1.9%
2 2
 
1.9%
6 1
 
1.0%
3 1
 
1.0%
0 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 136
56.4%
ASCII 105
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
90.5%
1 3
 
2.9%
9 2
 
1.9%
2 2
 
1.9%
6 1
 
1.0%
3 1
 
1.0%
0 1
 
1.0%
Hangul
ValueCountFrequency (%)
22
 
16.2%
14
 
10.3%
4
 
2.9%
4
 
2.9%
4
 
2.9%
3
 
2.2%
3
 
2.2%
3
 
2.2%
2
 
1.5%
2
 
1.5%
Other values (63) 75
55.1%

면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58656.66
Minimum6783
Maximum246657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size551.0 B
2024-04-21T21:09:39.217915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6783
5-th percentile18064.3
Q125029.5
median36870
Q377713
95-th percentile174737.6
Maximum246657
Range239874
Interquartile range (IQR)52683.5

Descriptive statistics

Standard deviation52252.98
Coefficient of variation (CV)0.89082774
Kurtosis3.5667083
Mean58656.66
Median Absolute Deviation (MAD)14957
Skewness1.9071935
Sum2756863
Variance2.7303739 × 109
MonotonicityNot monotonic
2024-04-21T21:09:39.463778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
162104 1
 
2.1%
246657 1
 
2.1%
25739 1
 
2.1%
25547 1
 
2.1%
34101 1
 
2.1%
24971 1
 
2.1%
29619 1
 
2.1%
30270 1
 
2.1%
24556 1
 
2.1%
40645 1
 
2.1%
Other values (37) 37
78.7%
ValueCountFrequency (%)
6783 1
2.1%
7476 1
2.1%
17914 1
2.1%
18415 1
2.1%
21913 1
2.1%
22189 1
2.1%
22513 1
2.1%
22640 1
2.1%
24299 1
2.1%
24556 1
2.1%
ValueCountFrequency (%)
246657 1
2.1%
195967 1
2.1%
180152 1
2.1%
162104 1
2.1%
137857 1
2.1%
120260 1
2.1%
98150 1
2.1%
93314 1
2.1%
89988 1
2.1%
89546 1
2.1%

유형
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size504.0 B
중규모취락
42 
관통대지
 
3
단절토지
 
1
지역현안사업
 
1

Length

Max length8
Median length7
Mean length6.9361702
Min length6

Unique

Unique2 ?
Unique (%)4.3%

Sample

1st row 중규모취락
2nd row 중규모취락
3rd row 중규모취락
4th row 중규모취락
5th row 중규모취락

Common Values

ValueCountFrequency (%)
중규모취락 42
89.4%
관통대지 3
 
6.4%
단절토지 1
 
2.1%
지역현안사업 1
 
2.1%

Length

2024-04-21T21:09:39.706334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:09:39.890828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중규모취락 42
89.4%
관통대지 3
 
6.4%
단절토지 1
 
2.1%
지역현안사업 1
 
2.1%
Distinct7
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Memory size504.0 B
Minimum2006-01-05 00:00:00
Maximum2015-10-23 00:00:00
2024-04-21T21:09:40.128529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T21:09:40.439952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)

고시번호
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size504.0 B
경상북도고시제2006-420호(2006.11.10)
20 
경상북도고시제2006-109호(2006.04.07)
경상북도 고시 제2006-10호(2006.1.5)
경상북도고시제2006-11호(2006.1.5)
경상북도고시제2006-421호(2006.11.13)
Other values (5)

Length

Max length28
Median length28
Mean length27.276596
Min length19

Unique

Unique4 ?
Unique (%)8.5%

Sample

1st row경상북도 고시 제2006-10호(2006.1.5)
2nd row경상북도 고시 제2006-10호(2006.1.5)
3rd row경상북도 고시 제2006-10호(2006.1.5)
4th row경상북도 고시 제2006-10호(2006.1.5)
5th row경상북도 고시 제2006-10호(2006.1.5)

Common Values

ValueCountFrequency (%)
경상북도고시제2006-420호(2006.11.10) 20
42.6%
경상북도고시제2006-109호(2006.04.07) 8
 
17.0%
경상북도 고시 제2006-10호(2006.1.5) 7
 
14.9%
경상북도고시제2006-11호(2006.1.5) 3
 
6.4%
경상북도고시제2006-421호(2006.11.13) 3
 
6.4%
경상북도고시제2013-42호(2013.1.28) 2
 
4.3%
경상북도고시제2013-44호(2013.1.28) 1
 
2.1%
경상북도고시제2013-43호(2013.1.28) 1
 
2.1%
경상북도고시제2013-425호(2013.10.7) 1
 
2.1%
국토교통부 고시 제2015-757호 1
 
2.1%

Length

2024-04-21T21:09:40.815749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T21:09:41.153038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상북도고시제2006-420호(2006.11.10 20
31.7%
경상북도고시제2006-109호(2006.04.07 8
 
12.7%
고시 8
 
12.7%
경상북도 7
 
11.1%
제2006-10호(2006.1.5 7
 
11.1%
경상북도고시제2006-11호(2006.1.5 3
 
4.8%
경상북도고시제2006-421호(2006.11.13 3
 
4.8%
경상북도고시제2013-42호(2013.1.28 2
 
3.2%
경상북도고시제2013-44호(2013.1.28 1
 
1.6%
경상북도고시제2013-43호(2013.1.28 1
 
1.6%
Other values (3) 3
 
4.8%

Interactions

2024-04-21T21:09:34.515883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T21:09:41.436603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위치구역명칭면적(제곱미터)유형해제일자고시번호
위치1.0001.0001.0001.0001.0001.000
구역명칭1.0001.0001.0001.0001.0001.000
면적(제곱미터)1.0001.0001.0000.0000.3130.335
유형1.0001.0000.0001.0000.8570.938
해제일자1.0001.0000.3130.8571.0001.000
고시번호1.0001.0000.3350.9381.0001.000
2024-04-21T21:09:41.702459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고시번호유형
고시번호1.0000.789
유형0.7891.000
2024-04-21T21:09:41.929797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)유형고시번호
면적(제곱미터)1.0000.0000.127
유형0.0001.0000.789
고시번호0.1270.7891.000

Missing values

2024-04-21T21:09:34.838244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T21:09:35.179490image/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

위치구역명칭면적(제곱미터)유형해제일자고시번호
0경북 경산시 하양읍 청천리 583번지 일원청천지구162104중규모취락2006-01-05경상북도 고시 제2006-10호(2006.1.5)
1경북 경산시 하양읍 남하1리 525번지 일원남하지구246657중규모취락2006-01-05경상북도 고시 제2006-10호(2006.1.5)
2경북 경산시 하양읍 남하2리 168번지 일원사탄지구59518중규모취락2006-01-05경상북도 고시 제2006-10호(2006.1.5)
3경북 경산시 하양읍 환상2리 582번지 일원환상지구93314중규모취락2006-01-05경상북도 고시 제2006-10호(2006.1.5)
4경북 경산시 하양읍 환상3리 501번지 일원고낭이지구195967중규모취락2006-01-05경상북도 고시 제2006-10호(2006.1.5)
5경북 경산시 압량면 현흥리 484-1번지 일원현창지구89546중규모취락2006-01-05경상북도 고시 제2006-10호(2006.1.5)
6경북 경산시압량면 금구리 509번지 일원금구지구120260중규모취락2006-01-05경상북도 고시 제2006-10호(2006.1.5)
7경북 경산시 경계선관통대지130필지25088관통대지2013-01-28경상북도고시제2013-44호(2013.1.28)
8경북 고령군 다산면 호촌리 641-39일원사문지구137857중규모취락2006-01-05경상북도고시제2006-11호(2006.1.5)
9경북 고령군 다산면 곽촌리 968일원곽촌지구98150중규모취락2006-01-05경상북도고시제2006-11호(2006.1.5)
위치구역명칭면적(제곱미터)유형해제일자고시번호
37경북 칠곡군 동명면 금암리 625 일원북실17914중규모취락2006-11-10경상북도고시제2006-420호(2006.11.10)
38경북 칠곡군 동명면 금암리 715 일원양골24299중규모취락2006-11-10경상북도고시제2006-420호(2006.11.10)
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