Overview

Dataset statistics

Number of variables11
Number of observations1455
Missing cells0
Missing cells (%)0.0%
Duplicate rows78
Duplicate rows (%)5.4%
Total size in memory128.0 KiB
Average record size in memory90.1 B

Variable types

Categorical3
Text2
DateTime4
Numeric2

Dataset

Description경기주택도시공사에서 공급하는 공급용지의 추첨공고내역으로써 사업지구명, 공고명, 공급방법, 모집공고일, 접수시작일, 접수종료일, 추첨일, 토지용도, 면적, 분양가 등의 정보를 포함하고 있습니다.
Author경기주택도시공사
URLhttps://www.data.go.kr/data/15088701/fileData.do

Alerts

공급방법 has constant value ""Constant
Dataset has 78 (5.4%) duplicate rowsDuplicates
면적(제곱미터) is highly overall correlated with 분양가(원) and 1 other fieldsHigh correlation
분양가(원) is highly overall correlated with 면적(제곱미터) and 1 other fieldsHigh correlation
사업지구명 is highly overall correlated with 토지용도High correlation
토지용도 is highly overall correlated with 면적(제곱미터) and 2 other fieldsHigh correlation

Reproduction

Analysis started2024-03-14 11:50:41.405645
Analysis finished2024-03-14 11:50:44.660194
Duration3.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업지구명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
화성동탄(2) 택지개발사업
809 
광교지구 택지개발사업
241 
경기경제자유구역(포승)
171 
연천BIX(은통산업단지) 조성사업
 
79
광주역세권 도시개발사업
 
71
Other values (6)
84 

Length

Max length24
Median length14
Mean length13.580756
Min length8

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row화성동탄(2) 택지개발사업
2nd row화성동탄(2) 택지개발사업
3rd row화성동탄(2) 택지개발사업
4th row화성동탄(2) 택지개발사업
5th row화성동탄(2) 택지개발사업

Common Values

ValueCountFrequency (%)
화성동탄(2) 택지개발사업 809
55.6%
광교지구 택지개발사업 241
 
16.6%
경기경제자유구역(포승) 171
 
11.8%
연천BIX(은통산업단지) 조성사업 79
 
5.4%
광주역세권 도시개발사업 71
 
4.9%
고덕 국제화계획지구 개발사업 및 택지개발사업 33
 
2.3%
남양주 다산진건주택지구 16
 
1.1%
남양주 다산지금 주택지구 15
 
1.0%
판교제2테크노밸리 도시첨단산업단지 11
 
0.8%
고덕국제화계획지구 8
 
0.5%

Length

2024-03-14T20:50:44.892988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
택지개발사업 1083
38.1%
화성동탄(2 809
28.4%
광교지구 241
 
8.5%
경기경제자유구역(포승 171
 
6.0%
연천bix(은통산업단지 79
 
2.8%
조성사업 79
 
2.8%
광주역세권 71
 
2.5%
도시개발사업 71
 
2.5%
33
 
1.2%
개발사업 33
 
1.2%
Other values (10) 174
 
6.1%
Distinct70
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2024-03-14T20:50:45.834549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length39
Mean length30.620619
Min length14

Characters and Unicode

Total characters44553
Distinct characters158
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.8%

Sample

1st row화성동탄(2) 주거전용 단독주택용지 공급공고(D33)
2nd row화성동탄(2) 주거전용 단독주택용지 공급공고(D33)
3rd row화성동탄(2) 주거전용 단독주택용지 공급공고(D33)
4th row화성동탄(2) 주거전용 단독주택용지 공급공고(D33)
5th row화성동탄(2) 주거전용 단독주택용지 공급공고(D33)
ValueCountFrequency (%)
단독주택용지 925
14.5%
주거전용 794
 
12.5%
화성동탄(2 496
 
7.8%
공급공고 493
 
7.7%
공고 339
 
5.3%
공급 332
 
5.2%
동탄2신도시 289
 
4.5%
재공급공고(d28,d33,d34 256
 
4.0%
159
 
2.5%
물류시설용지 143
 
2.2%
Other values (116) 2144
33.7%
2024-03-14T20:50:46.974004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4915
 
11.0%
3076
 
6.9%
2261
 
5.1%
2244
 
5.0%
1839
 
4.1%
1482
 
3.3%
1481
 
3.3%
1449
 
3.3%
, 1289
 
2.9%
3 1194
 
2.7%
Other values (148) 23323
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30462
68.4%
Space Separator 4915
 
11.0%
Decimal Number 2960
 
6.6%
Uppercase Letter 1854
 
4.2%
Close Punctuation 1496
 
3.4%
Open Punctuation 1496
 
3.4%
Other Punctuation 1297
 
2.9%
Dash Punctuation 38
 
0.1%
Lowercase Letter 33
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3076
 
10.1%
2261
 
7.4%
2244
 
7.4%
1839
 
6.0%
1482
 
4.9%
1481
 
4.9%
1449
 
4.8%
1161
 
3.8%
1069
 
3.5%
1024
 
3.4%
Other values (121) 13376
43.9%
Decimal Number
ValueCountFrequency (%)
3 1194
40.3%
2 1091
36.9%
4 329
 
11.1%
8 260
 
8.8%
7 39
 
1.3%
1 29
 
1.0%
6 7
 
0.2%
5 5
 
0.2%
0 4
 
0.1%
9 2
 
0.1%
Uppercase Letter
ValueCountFrequency (%)
D 1049
56.6%
B 263
 
14.2%
I 250
 
13.5%
X 250
 
13.5%
F 33
 
1.8%
C 7
 
0.4%
A 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
, 1289
99.4%
/ 8
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 1189
79.5%
] 307
 
20.5%
Open Punctuation
ValueCountFrequency (%)
( 1189
79.5%
[ 307
 
20.5%
Space Separator
ValueCountFrequency (%)
4915
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Lowercase Letter
ValueCountFrequency (%)
d 33
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30462
68.4%
Common 12204
27.4%
Latin 1887
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3076
 
10.1%
2261
 
7.4%
2244
 
7.4%
1839
 
6.0%
1482
 
4.9%
1481
 
4.9%
1449
 
4.8%
1161
 
3.8%
1069
 
3.5%
1024
 
3.4%
Other values (121) 13376
43.9%
Common
ValueCountFrequency (%)
4915
40.3%
, 1289
 
10.6%
3 1194
 
9.8%
) 1189
 
9.7%
( 1189
 
9.7%
2 1091
 
8.9%
4 329
 
2.7%
[ 307
 
2.5%
] 307
 
2.5%
8 260
 
2.1%
Other values (9) 134
 
1.1%
Latin
ValueCountFrequency (%)
D 1049
55.6%
B 263
 
13.9%
I 250
 
13.2%
X 250
 
13.2%
d 33
 
1.7%
F 33
 
1.7%
C 7
 
0.4%
A 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30462
68.4%
ASCII 14091
31.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4915
34.9%
, 1289
 
9.1%
3 1194
 
8.5%
) 1189
 
8.4%
( 1189
 
8.4%
2 1091
 
7.7%
D 1049
 
7.4%
4 329
 
2.3%
[ 307
 
2.2%
] 307
 
2.2%
Other values (17) 1232
 
8.7%
Hangul
ValueCountFrequency (%)
3076
 
10.1%
2261
 
7.4%
2244
 
7.4%
1839
 
6.0%
1482
 
4.9%
1481
 
4.9%
1449
 
4.8%
1161
 
3.8%
1069
 
3.5%
1024
 
3.4%
Other values (121) 13376
43.9%

공급방법
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
추첨
1455 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row추첨
2nd row추첨
3rd row추첨
4th row추첨
5th row추첨

Common Values

ValueCountFrequency (%)
추첨 1455
100.0%

Length

2024-03-14T20:50:47.382752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T20:50:47.701355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
추첨 1455
100.0%
Distinct69
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2007-10-11 00:00:00
Maximum2024-01-25 00:00:00
2024-03-14T20:50:47.891302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:48.143359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct72
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2007-10-23 00:00:00
Maximum2024-01-29 00:00:00
2024-03-14T20:50:48.390300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:48.648184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct73
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2007-10-25 00:00:00
Maximum2024-02-05 00:00:00
2024-03-14T20:50:48.891802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:49.147584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct73
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
Minimum2007-10-26 00:00:00
Maximum2024-02-06 00:00:00
2024-03-14T20:50:49.392848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:49.761627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

토지용도
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
단독주택(주거전용)
650 
산업시설
231 
단독주택
221 
단독주택(일반)
143 
단독주택(블럭형)
 
24
Other values (26)
186 

Length

Max length27
Median length26
Mean length8.0075601
Min length3

Unique

Unique6 ?
Unique (%)0.4%

Sample

1st row단독주택
2nd row단독주택
3rd row단독주택
4th row단독주택
5th row단독주택

Common Values

ValueCountFrequency (%)
단독주택(주거전용) 650
44.7%
산업시설 231
 
15.9%
단독주택 221
 
15.2%
단독주택(일반) 143
 
9.8%
단독주택(블럭형) 24
 
1.6%
종교시설(일반) 21
 
1.4%
유치원(일반) 20
 
1.4%
물류시설 17
 
1.2%
연립주택(60~85제곱미터 ,85제곱미터 초과) 16
 
1.1%
공동주택-분양 14
 
1.0%
Other values (21) 98
 
6.7%

Length

2024-03-14T20:50:50.182302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택(주거전용 650
42.8%
산업시설 231
 
15.2%
단독주택 221
 
14.6%
단독주택(일반 143
 
9.4%
초과 38
 
2.5%
단독주택(블럭형 24
 
1.6%
85제곱미터 23
 
1.5%
종교시설(일반 21
 
1.4%
유치원(일반 20
 
1.3%
물류시설 17
 
1.1%
Other values (25) 130
 
8.6%
Distinct656
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Memory size11.5 KiB
2024-03-14T20:50:51.458045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length6.3958763
Min length2

Characters and Unicode

Total characters9306
Distinct characters41
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)14.2%

Sample

1st row433-701
2nd row433-703
3rd row433-704
4th row433-705
5th row433-706
ValueCountFrequency (%)
b4 10
 
0.7%
산업5-6 9
 
0.6%
산업5-8 9
 
0.6%
b1 8
 
0.5%
산업5-10 8
 
0.5%
b3 8
 
0.5%
산업5-12 7
 
0.5%
7
 
0.5%
f1 6
 
0.4%
a6 6
 
0.4%
Other values (637) 1385
94.7%
2024-03-14T20:50:53.174242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1779
19.1%
- 1516
16.3%
4 1209
13.0%
1 1059
11.4%
0 899
9.7%
2 636
 
6.8%
5 317
 
3.4%
7 275
 
3.0%
8 256
 
2.8%
6 251
 
2.7%
Other values (31) 1109
11.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6874
73.9%
Dash Punctuation 1516
 
16.3%
Other Letter 583
 
6.3%
Uppercase Letter 308
 
3.3%
Space Separator 19
 
0.2%
Open Punctuation 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
230
39.5%
230
39.5%
29
 
5.0%
18
 
3.1%
18
 
3.1%
13
 
2.2%
13
 
2.2%
10
 
1.7%
6
 
1.0%
4
 
0.7%
Other values (7) 12
 
2.1%
Decimal Number
ValueCountFrequency (%)
3 1779
25.9%
4 1209
17.6%
1 1059
15.4%
0 899
13.1%
2 636
 
9.3%
5 317
 
4.6%
7 275
 
4.0%
8 256
 
3.7%
6 251
 
3.7%
9 193
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
E 145
47.1%
D 60
19.5%
B 40
 
13.0%
A 26
 
8.4%
F 22
 
7.1%
H 9
 
2.9%
C 3
 
1.0%
R 2
 
0.6%
P 1
 
0.3%
Dash Punctuation
ValueCountFrequency (%)
- 1516
100.0%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8415
90.4%
Hangul 583
 
6.3%
Latin 308
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
230
39.5%
230
39.5%
29
 
5.0%
18
 
3.1%
18
 
3.1%
13
 
2.2%
13
 
2.2%
10
 
1.7%
6
 
1.0%
4
 
0.7%
Other values (7) 12
 
2.1%
Common
ValueCountFrequency (%)
3 1779
21.1%
- 1516
18.0%
4 1209
14.4%
1 1059
12.6%
0 899
10.7%
2 636
 
7.6%
5 317
 
3.8%
7 275
 
3.3%
8 256
 
3.0%
6 251
 
3.0%
Other values (5) 218
 
2.6%
Latin
ValueCountFrequency (%)
E 145
47.1%
D 60
19.5%
B 40
 
13.0%
A 26
 
8.4%
F 22
 
7.1%
H 9
 
2.9%
C 3
 
1.0%
R 2
 
0.6%
P 1
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8723
93.7%
Hangul 583
 
6.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1779
20.4%
- 1516
17.4%
4 1209
13.9%
1 1059
12.1%
0 899
10.3%
2 636
 
7.3%
5 317
 
3.6%
7 275
 
3.2%
8 256
 
2.9%
6 251
 
2.9%
Other values (14) 526
 
6.0%
Hangul
ValueCountFrequency (%)
230
39.5%
230
39.5%
29
 
5.0%
18
 
3.1%
18
 
3.1%
13
 
2.2%
13
 
2.2%
10
 
1.7%
6
 
1.0%
4
 
0.7%
Other values (7) 12
 
2.1%

면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct306
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4147.9925
Minimum167
Maximum127448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-03-14T20:50:53.594523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum167
5-th percentile185
Q1245
median270
Q32205.5
95-th percentile25232
Maximum127448
Range127281
Interquartile range (IQR)1960.5

Descriptive statistics

Standard deviation11623.377
Coefficient of variation (CV)2.8021693
Kurtosis24.391114
Mean4147.9925
Median Absolute Deviation (MAD)38
Skewness4.514257
Sum6035329.1
Variance1.3510289 × 108
MonotonicityNot monotonic
2024-03-14T20:50:54.046236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
274.0 57
 
3.9%
279.0 56
 
3.8%
246.0 33
 
2.3%
253.0 33
 
2.3%
263.0 33
 
2.3%
254.0 30
 
2.1%
252.0 26
 
1.8%
3817.0 25
 
1.7%
262.0 22
 
1.5%
3820.0 22
 
1.5%
Other values (296) 1118
76.8%
ValueCountFrequency (%)
167.0 4
 
0.3%
171.0 6
 
0.4%
172.0 1
 
0.1%
174.0 6
 
0.4%
175.0 6
 
0.4%
176.0 2
 
0.1%
179.0 3
 
0.2%
180.0 18
1.2%
181.0 4
 
0.3%
182.0 8
0.5%
ValueCountFrequency (%)
127448.0 1
 
0.1%
104487.0 1
 
0.1%
74903.0 1
 
0.1%
70970.0 1
 
0.1%
70641.0 1
 
0.1%
70066.0 1
 
0.1%
69546.0 1
 
0.1%
63838.0 1
 
0.1%
62356.0 1
 
0.1%
60175.0 8
0.5%

분양가(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct616
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0790725 × 109
Minimum27537000
Maximum5.2 × 1011
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.9 KiB
2024-03-14T20:50:54.476410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum27537000
5-th percentile3.66956 × 108
Q14.8829 × 108
median5.4569 × 108
Q39.68305 × 108
95-th percentile3 × 1010
Maximum5.2 × 1011
Range5.1997246 × 1011
Interquartile range (IQR)4.80015 × 108

Descriptive statistics

Standard deviation2.538386 × 1010
Coefficient of variation (CV)4.175614
Kurtosis137.71516
Mean6.0790725 × 109
Median Absolute Deviation (MAD)1.0372 × 108
Skewness9.3833685
Sum8.8450505 × 1012
Variance6.4434037 × 1020
MonotonicityNot monotonic
2024-03-14T20:50:54.932688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
967544000 29
 
2.0%
545260000 26
 
1.8%
800000000 25
 
1.7%
968305000 22
 
1.5%
489540000 19
 
1.3%
538470000 18
 
1.2%
347400000 15
 
1.0%
3000000000 12
 
0.8%
555210000 12
 
0.8%
474780000 12
 
0.8%
Other values (606) 1265
86.9%
ValueCountFrequency (%)
27537000 1
 
0.1%
39900000 1
 
0.1%
60200000 1
 
0.1%
132266000 1
 
0.1%
297560000 1
 
0.1%
330030000 6
 
0.4%
332330000 4
 
0.3%
345470000 3
 
0.2%
346260000 6
 
0.4%
347400000 15
1.0%
ValueCountFrequency (%)
520000000000 1
 
0.1%
268000000000 1
 
0.1%
200000000000 4
0.3%
192000000000 1
 
0.1%
167000000000 1
 
0.1%
127000000000 1
 
0.1%
116000000000 3
0.2%
111000000000 1
 
0.1%
109000000000 3
0.2%
101000000000 1
 
0.1%

Interactions

2024-03-14T20:50:43.298577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:42.768299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:43.562217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:50:43.033753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:50:55.210066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사업지구명공고명모집공고일공고접수시작일공고접수종료일추첨일토지용도면적(제곱미터)분양가(원)
사업지구명1.0001.0000.9960.9960.9960.9960.9680.4720.439
공고명1.0001.0000.9991.0001.0001.0000.9950.9160.857
모집공고일0.9960.9991.0001.0001.0001.0000.9930.8940.852
공고접수시작일0.9961.0001.0001.0001.0001.0000.9930.9060.864
공고접수종료일0.9961.0001.0001.0001.0001.0000.9930.9170.857
추첨일0.9961.0001.0001.0001.0001.0000.9930.9170.857
토지용도0.9680.9950.9930.9930.9930.9931.0000.9230.968
면적(제곱미터)0.4720.9160.8940.9060.9170.9170.9231.0000.874
분양가(원)0.4390.8570.8520.8640.8570.8570.9680.8741.000
2024-03-14T20:50:55.507887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
토지용도사업지구명
토지용도1.0000.793
사업지구명0.7931.000
2024-03-14T20:50:55.747578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)분양가(원)사업지구명토지용도
면적(제곱미터)1.0000.9200.2450.681
분양가(원)0.9201.0000.2420.837
사업지구명0.2450.2421.0000.793
토지용도0.6810.8370.7931.000

Missing values

2024-03-14T20:50:43.938107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:50:44.450749image/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

사업지구명공고명공급방법모집공고일공고접수시작일공고접수종료일추첨일토지용도가지번면적(제곱미터)분양가(원)
0화성동탄(2) 택지개발사업화성동탄(2) 주거전용 단독주택용지 공급공고(D33)추첨2023-12-112023-12-222023-12-222023-12-22단독주택433-701279.0564975000
1화성동탄(2) 택지개발사업화성동탄(2) 주거전용 단독주택용지 공급공고(D33)추첨2023-12-112023-12-222023-12-222023-12-22단독주택433-703279.0570555000
2화성동탄(2) 택지개발사업화성동탄(2) 주거전용 단독주택용지 공급공고(D33)추첨2023-12-112023-12-222023-12-222023-12-22단독주택433-704279.0570555000
3화성동탄(2) 택지개발사업화성동탄(2) 주거전용 단독주택용지 공급공고(D33)추첨2023-12-112023-12-222023-12-222023-12-22단독주택433-705279.0559395000
4화성동탄(2) 택지개발사업화성동탄(2) 주거전용 단독주택용지 공급공고(D33)추첨2023-12-112023-12-222023-12-222023-12-22단독주택433-706279.0570555000
5화성동탄(2) 택지개발사업화성동탄(2) 주거전용 단독주택용지 공급공고(D33)추첨2023-12-112023-12-222023-12-222023-12-22단독주택433-801279.0564975000
6화성동탄(2) 택지개발사업화성동탄(2) 주거전용 단독주택용지 공급공고(D33)추첨2023-12-112023-12-222023-12-222023-12-22단독주택433-802279.0553815000
7화성동탄(2) 택지개발사업화성동탄(2) 주거전용 단독주택용지 공급공고(D33)추첨2023-12-112023-12-222023-12-222023-12-22단독주택433-803279.0570555000
8화성동탄(2) 택지개발사업화성동탄(2) 주거전용 단독주택용지 공급공고(D33)추첨2023-12-112023-12-222023-12-222023-12-22단독주택433-804303.0624180000
9화성동탄(2) 택지개발사업화성동탄(2) 주거전용 단독주택용지 공급공고(D33)추첨2023-12-112023-12-222023-12-222023-12-22단독주택433-805280.0567000000
사업지구명공고명공급방법모집공고일공고접수시작일공고접수종료일추첨일토지용도가지번면적(제곱미터)분양가(원)
1445광주역세권 도시개발사업광주역세권 도시개발사업 단독주택용지 공급공고(D4)추첨2023-06-282023-07-192023-07-192023-07-19단독주택378-3253.9800000000
1446광주역세권 도시개발사업광주역세권 도시개발사업 단독주택용지 공급공고(D4)추첨2023-06-282023-07-192023-07-192023-07-19단독주택378-5257.1800000000
1447광주역세권 도시개발사업광주역세권 도시개발사업 단독주택용지 공급공고(D4)추첨2023-06-282023-07-192023-07-192023-07-19단독주택378-7251.9800000000
1448고덕국제화계획지구고덕국제화계획지구 종교시설용지 재공급공고추첨2023-05-312023-06-142023-06-142023-06-14종교시설용지종9560.01000000000
1449고덕국제화계획지구고덕국제화계획지구 종교시설용지 재공급공고추첨2023-05-312023-06-142023-06-142023-06-14종교시설용지종10669.02000000000
1450고덕국제화계획지구고덕국제화계획지구 종교시설용지 재공급공고추첨2023-06-282023-07-192023-07-192023-07-19종교시설용지종9560.01000000000
1451화성동탄(2) 택지개발사업화성동탄(2) 유치원용지 공급공고추첨2023-05-312023-06-142023-06-142023-06-14유치원(일반)9-181223.03000000000
1452화성동탄(2) 택지개발사업화성동탄(2) 유치원용지 공급공고추첨2023-05-312023-06-142023-06-142023-06-14유치원(일반)18-151174.03000000000
1453화성동탄(2) 택지개발사업화성동탄(2) 유치원용지 공급공고추첨2023-06-282023-07-192023-07-192023-07-19유치원(일반)9-181223.03000000000
1454화성동탄(2) 택지개발사업화성동탄(2) 유치원용지 공급공고추첨2023-06-282023-07-192023-07-192023-07-19유치원(일반)18-151174.03000000000

Duplicate rows

Most frequently occurring

사업지구명공고명공급방법모집공고일공고접수시작일공고접수종료일추첨일토지용도가지번면적(제곱미터)분양가(원)# duplicates
17광교지구 택지개발사업광교 업무복합,공동주택,업무시설,도시지원시설,근린생활시설,주차장,단독주택,종교,문화복지시설용지 공급공고추첨2011-06-242011-07-042011-07-062011-07-06단독주택(블럭형)F16196.080238200003
56광교지구 택지개발사업광교신도시 공동주택, 도시지원, 주차장용지 공급공고추첨2014-08-142014-08-252014-08-272014-08-27공동-임대(60~85제곱미터 ,85제곱미터 초과)A658241.01090000000003
57광교지구 택지개발사업광교신도시 공동주택, 도시지원, 주차장용지 공급공고추첨2014-08-142014-08-252014-08-272014-08-27연립주택(60~85제곱미터 ,85제곱미터 초과)B150267.0537853690003
58광교지구 택지개발사업광교신도시 공동주택, 도시지원, 주차장용지 공급공고추첨2014-08-142014-08-252014-08-272014-08-27연립주택(60~85제곱미터 ,85제곱미터 초과)B360175.0725113570003
59광교지구 택지개발사업광교신도시 공동주택, 도시지원, 주차장용지 공급공고추첨2014-08-142014-08-252014-08-272014-08-27연립주택(85제곱미터 초과)B438923.0665578170003
0고덕국제화계획지구고덕국제화계획지구 종교시설용지 재공급공고추첨2023-05-312023-06-142023-06-142023-06-14종교시설용지종10669.020000000002
1고덕국제화계획지구고덕국제화계획지구 종교시설용지 재공급공고추첨2023-05-312023-06-142023-06-142023-06-14종교시설용지종9560.010000000002
2고덕국제화계획지구고덕국제화계획지구 종교시설용지 재공급공고추첨2023-06-282023-07-192023-07-192023-07-19종교시설용지종9560.010000000002
3광교지구 택지개발사업광교 공동주택, 일반상업, 근린생활, 단독주택용지 공급 공고추첨2013-10-242013-11-062013-11-072013-11-07단독주택(일반)E1-2-7275.07083640002
4광교지구 택지개발사업광교 공동주택, 일반상업, 근린생활, 단독주택용지 공급 공고추첨2013-10-242013-11-062013-11-072013-11-07단독주택(일반)E1-23-3286.07126000002