Overview

Dataset statistics

Number of variables12
Number of observations49
Missing cells15
Missing cells (%)2.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.9 KiB
Average record size in memory102.7 B

Variable types

Numeric4
Text4
DateTime3
Categorical1

Dataset

Description남양주시 주택건설사업 승인 현황에 대한 데이터로 아파트명, 지역, 대지위치, 사업주체, 시공자, 세대수, 면적 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/3073142/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 대지면적(제곱미터)High correlation
대지면적(제곱미터) is highly overall correlated with 연번 and 2 other fieldsHigh correlation
연면적(제곱미터) is highly overall correlated with 대지면적(제곱미터) and 1 other fieldsHigh correlation
총세대수 is highly overall correlated with 대지면적(제곱미터) and 1 other fieldsHigh correlation
사용검사예정일 has 15 (30.6%) missing valuesMissing
연번 has unique valuesUnique
연면적(제곱미터) has unique valuesUnique
총세대수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 14:39:17.540459
Analysis finished2023-12-12 14:39:20.212995
Duration2.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T23:39:20.296235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-12T23:39:20.431931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

건축물명칭
Text

Distinct45
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T23:39:20.706799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length19
Mean length12.081633
Min length5

Characters and Unicode

Total characters592
Distinct characters157
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)89.8%

Sample

1st row화도센트럴우방아이유쉘
2nd row호평동 대명루첸아파트
3rd row별내 유승한내들 이노스타
4th row화도 효성해링턴 플레이스
5th row남양주 묵현5지구 아파트
ValueCountFrequency (%)
다산 10
 
8.4%
남양주 7
 
5.9%
lh아파트 5
 
4.2%
별내 4
 
3.4%
아파트 3
 
2.5%
유승한내들 3
 
2.5%
센트럴 2
 
1.7%
메이플타운 2
 
1.7%
반도유보라 2
 
1.7%
펜테리움 2
 
1.7%
Other values (74) 79
66.4%
2023-12-12T23:39:21.164504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
12.3%
트 22
 
3.7%
주 20
 
3.4%
스 17
 
2.9%
산 17
 
2.9%
다 15
 
2.5%
아 14
 
2.4%
파 14
 
2.4%
양 14
 
2.4%
이 12
 
2.0%
Other values (147) 374
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 472
79.7%
Space Separator 73
 
12.3%
Uppercase Letter 22
 
3.7%
Decimal Number 19
 
3.2%
Dash Punctuation 2
 
0.3%
Close Punctuation 1
 
0.2%
Other Punctuation 1
 
0.2%
Letter Number 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 22
 
4.7%
주 20
 
4.2%
스 17
 
3.6%
산 17
 
3.6%
다 15
 
3.2%
아 14
 
3.0%
파 14
 
3.0%
양 14
 
3.0%
이 12
 
2.5%
지 12
 
2.5%
Other values (129) 315
66.7%
Decimal Number
ValueCountFrequency (%)
2 7
36.8%
5 3
15.8%
3 3
15.8%
4 2
 
10.5%
1 2
 
10.5%
9 1
 
5.3%
0 1
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
L 9
40.9%
H 5
22.7%
B 4
18.2%
A 3
 
13.6%
N 1
 
4.5%
Space Separator
ValueCountFrequency (%)
73
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 472
79.7%
Common 97
 
16.4%
Latin 23
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 22
 
4.7%
주 20
 
4.2%
스 17
 
3.6%
산 17
 
3.6%
다 15
 
3.2%
아 14
 
3.0%
파 14
 
3.0%
양 14
 
3.0%
이 12
 
2.5%
지 12
 
2.5%
Other values (129) 315
66.7%
Common
ValueCountFrequency (%)
73
75.3%
2 7
 
7.2%
5 3
 
3.1%
3 3
 
3.1%
4 2
 
2.1%
1 2
 
2.1%
- 2
 
2.1%
9 1
 
1.0%
) 1
 
1.0%
. 1
 
1.0%
Other values (2) 2
 
2.1%
Latin
ValueCountFrequency (%)
L 9
39.1%
H 5
21.7%
B 4
17.4%
A 3
 
13.0%
N 1
 
4.3%
Ⅰ 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 472
79.7%
ASCII 119
 
20.1%
Number Forms 1
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
61.3%
L 9
 
7.6%
2 7
 
5.9%
H 5
 
4.2%
B 4
 
3.4%
5 3
 
2.5%
A 3
 
2.5%
3 3
 
2.5%
4 2
 
1.7%
1 2
 
1.7%
Other values (7) 8
 
6.7%
Hangul
ValueCountFrequency (%)
트 22
 
4.7%
주 20
 
4.2%
스 17
 
3.6%
산 17
 
3.6%
다 15
 
3.2%
아 14
 
3.0%
파 14
 
3.0%
양 14
 
3.0%
이 12
 
2.5%
지 12
 
2.5%
Other values (129) 315
66.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%

대지위치
Text

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T23:39:21.492409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length21.816327
Min length16

Characters and Unicode

Total characters1069
Distinct characters74
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)95.9%

Sample

1st row경기도 남양주시 화도읍 녹촌리 556
2nd row경기도 남양주시 호평동 410-6
3rd row경기도 남양주시 별내동 893
4th row경기도 남양주시 화도읍 월산리 1527
5th row경기도 남양주시 화도읍 묵현리 산 156-3
ValueCountFrequency (%)
경기도 49
20.8%
남양주시 49
20.8%
다산동 13
 
5.5%
별내동 9
 
3.8%
화도읍 7
 
3.0%
진접읍 6
 
2.5%
진건읍 4
 
1.7%
다산진건지구 4
 
1.7%
산 3
 
1.3%
금곡동 3
 
1.3%
Other values (76) 89
37.7%
2023-12-12T23:39:22.306638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
187
17.5%
주 58
 
5.4%
도 56
 
5.2%
양 56
 
5.2%
남 55
 
5.1%
경 49
 
4.6%
기 49
 
4.6%
시 49
 
4.6%
동 29
 
2.7%
6 25
 
2.3%
Other values (64) 456
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 689
64.5%
Space Separator 187
 
17.5%
Decimal Number 155
 
14.5%
Dash Punctuation 21
 
2.0%
Uppercase Letter 17
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 58
 
8.4%
도 56
 
8.1%
양 56
 
8.1%
남 55
 
8.0%
경 49
 
7.1%
기 49
 
7.1%
시 49
 
7.1%
동 29
 
4.2%
산 24
 
3.5%
지 22
 
3.2%
Other values (48) 242
35.1%
Decimal Number
ValueCountFrequency (%)
6 25
16.1%
2 20
12.9%
3 17
11.0%
5 15
9.7%
4 14
9.0%
0 14
9.0%
7 14
9.0%
1 14
9.0%
8 11
7.1%
9 11
7.1%
Uppercase Letter
ValueCountFrequency (%)
B 9
52.9%
A 4
23.5%
L 3
 
17.6%
C 1
 
5.9%
Space Separator
ValueCountFrequency (%)
187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 689
64.5%
Common 363
34.0%
Latin 17
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 58
 
8.4%
도 56
 
8.1%
양 56
 
8.1%
남 55
 
8.0%
경 49
 
7.1%
기 49
 
7.1%
시 49
 
7.1%
동 29
 
4.2%
산 24
 
3.5%
지 22
 
3.2%
Other values (48) 242
35.1%
Common
ValueCountFrequency (%)
187
51.5%
6 25
 
6.9%
- 21
 
5.8%
2 20
 
5.5%
3 17
 
4.7%
5 15
 
4.1%
4 14
 
3.9%
0 14
 
3.9%
7 14
 
3.9%
1 14
 
3.9%
Other values (2) 22
 
6.1%
Latin
ValueCountFrequency (%)
B 9
52.9%
A 4
23.5%
L 3
 
17.6%
C 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 689
64.5%
ASCII 380
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
187
49.2%
6 25
 
6.6%
- 21
 
5.5%
2 20
 
5.3%
3 17
 
4.5%
5 15
 
3.9%
4 14
 
3.7%
0 14
 
3.7%
7 14
 
3.7%
1 14
 
3.7%
Other values (6) 39
 
10.3%
Hangul
ValueCountFrequency (%)
주 58
 
8.4%
도 56
 
8.1%
양 56
 
8.1%
남 55
 
8.0%
경 49
 
7.1%
기 49
 
7.1%
시 49
 
7.1%
동 29
 
4.2%
산 24
 
3.5%
지 22
 
3.2%
Other values (48) 242
35.1%

사업승인일
Date

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2012-02-21 00:00:00
Maximum2022-12-13 00:00:00
2023-12-12T23:39:22.474069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:22.670353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

착공예정일
Date

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2012-09-05 00:00:00
Maximum2023-03-31 00:00:00
2023-12-12T23:39:22.809543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:23.002798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

사용검사예정일
Date

MISSING 

Distinct33
Distinct (%)97.1%
Missing15
Missing (%)30.6%
Memory size524.0 B
Minimum2015-05-24 00:00:00
Maximum2027-03-31 00:00:00
2023-12-12T23:39:23.154665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:23.319362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)

대지면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct48
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37641.652
Minimum2759
Maximum155335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T23:39:23.481021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2759
5-th percentile7156.976
Q118744
median31588
Q350159
95-th percentile73324.2
Maximum155335
Range152576
Interquartile range (IQR)31415

Descriptive statistics

Standard deviation26845.046
Coefficient of variation (CV)0.71317394
Kurtosis6.3541847
Mean37641.652
Median Absolute Deviation (MAD)16254
Skewness1.855572
Sum1844441
Variance7.2065647 × 108
MonotonicityNot monotonic
2023-12-12T23:39:23.657157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
70965.0 2
 
4.1%
43470.0 1
 
2.0%
12191.0 1
 
2.0%
24451.0 1
 
2.0%
42545.0 1
 
2.0%
36535.0 1
 
2.0%
22350.0 1
 
2.0%
2759.0 1
 
2.0%
50159.0 1
 
2.0%
16633.0 1
 
2.0%
Other values (38) 38
77.6%
ValueCountFrequency (%)
2759.0 1
2.0%
5330.0 1
2.0%
6688.96 1
2.0%
7859.0 1
2.0%
8108.0 1
2.0%
8782.0 1
2.0%
11670.0 1
2.0%
12191.0 1
2.0%
12500.0 1
2.0%
15334.0 1
2.0%
ValueCountFrequency (%)
155335.0 1
2.0%
78444.0 1
2.0%
74897.0 1
2.0%
70965.0 2
4.1%
70635.0 1
2.0%
70066.0 1
2.0%
61110.0 1
2.0%
59694.0 1
2.0%
56537.0 1
2.0%
54236.0 1
2.0%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110240.68
Minimum2799.677
Maximum443448
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T23:39:23.856454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2799.677
5-th percentile18515.6
Q154747
median89212
Q3159453
95-th percentile219175.6
Maximum443448
Range440648.32
Interquartile range (IQR)104706

Descriptive statistics

Standard deviation78429.433
Coefficient of variation (CV)0.71143822
Kurtosis5.3213448
Mean110240.68
Median Absolute Deviation (MAD)40229
Skewness1.7165947
Sum5401793.4
Variance6.151176 × 109
MonotonicityNot monotonic
2023-12-12T23:39:23.987831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
131223.0 1
 
2.0%
50016.0 1
 
2.0%
85402.0 1
 
2.0%
215467.0 1
 
2.0%
221648.0 1
 
2.0%
91052.0 1
 
2.0%
55820.0 1
 
2.0%
11484.0 1
 
2.0%
157839.0 1
 
2.0%
54800.0 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
2799.677 1
2.0%
10398.0 1
2.0%
11484.0 1
2.0%
29063.0 1
2.0%
37510.0 1
2.0%
43257.0 1
2.0%
47016.0 1
2.0%
48983.0 1
2.0%
50016.0 1
2.0%
50125.0 1
2.0%
ValueCountFrequency (%)
443448.0 1
2.0%
229659.0 1
2.0%
221648.0 1
2.0%
215467.0 1
2.0%
202185.0 1
2.0%
198016.0 1
2.0%
194588.0 1
2.0%
189002.0 1
2.0%
177265.0 1
2.0%
169929.0 1
2.0%

총세대수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean789.22449
Minimum74
Maximum2894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-12T23:39:24.130062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile213.2
Q1406
median738
Q31100
95-th percentile1440.8
Maximum2894
Range2820
Interquartile range (IQR)694

Descriptive statistics

Standard deviation499.48095
Coefficient of variation (CV)0.63287563
Kurtosis5.1494447
Mean789.22449
Median Absolute Deviation (MAD)358
Skewness1.5952195
Sum38672
Variance249481.22
MonotonicityNot monotonic
2023-12-12T23:39:24.277177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
808 1
 
2.0%
380 1
 
2.0%
616 1
 
2.0%
1620 1
 
2.0%
967 1
 
2.0%
585 1
 
2.0%
872 1
 
2.0%
96 1
 
2.0%
1266 1
 
2.0%
738 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
74 1
2.0%
96 1
2.0%
204 1
2.0%
227 1
2.0%
236 1
2.0%
291 1
2.0%
307 1
2.0%
316 1
2.0%
348 1
2.0%
350 1
2.0%
ValueCountFrequency (%)
2894 1
2.0%
1620 1
2.0%
1532 1
2.0%
1304 1
2.0%
1283 1
2.0%
1282 1
2.0%
1266 1
2.0%
1261 1
2.0%
1257 1
2.0%
1220 1
2.0%

사업주체
Text

Distinct38
Distinct (%)77.6%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T23:39:24.498615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length9.6938776
Min length5

Characters and Unicode

Total characters475
Distinct characters107
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)67.3%

Sample

1st row우방산업㈜
2nd row(주)대명종합건설
3rd row(주)유승종합건설
4th row화도지역주택조합
5th row(주)마석개발
ValueCountFrequency (%)
한국토지주택공사 8
 
12.5%
주식회사 6
 
9.4%
한국자산신탁㈜ 2
 
3.1%
주)무궁화신탁 2
 
3.1%
코리아신탁주식회사 2
 
3.1%
주)유승종합건설 2
 
3.1%
남양주화도현대지역주택조합 1
 
1.6%
코리아신탁㈜ 1
 
1.6%
주)부영주택 1
 
1.6%
기획재정부 1
 
1.6%
Other values (38) 38
59.4%
2023-12-12T23:39:24.824372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 45
 
9.5%
사 24
 
5.1%
택 17
 
3.6%
15
 
3.2%
식 15
 
3.2%
회 15
 
3.2%
지 14
 
2.9%
탁 14
 
2.9%
신 13
 
2.7%
한 12
 
2.5%
Other values (97) 291
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 419
88.2%
Space Separator 15
 
3.2%
Close Punctuation 12
 
2.5%
Open Punctuation 12
 
2.5%
Other Symbol 9
 
1.9%
Decimal Number 5
 
1.1%
Other Punctuation 2
 
0.4%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 45
 
10.7%
사 24
 
5.7%
택 17
 
4.1%
식 15
 
3.6%
회 15
 
3.6%
지 14
 
3.3%
탁 14
 
3.3%
신 13
 
3.1%
한 12
 
2.9%
건 11
 
2.6%
Other values (87) 239
57.0%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
9 1
20.0%
4 1
20.0%
1 1
20.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
90.1%
Common 46
 
9.7%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 45
 
10.5%
사 24
 
5.6%
택 17
 
4.0%
식 15
 
3.5%
회 15
 
3.5%
지 14
 
3.3%
탁 14
 
3.3%
신 13
 
3.0%
한 12
 
2.8%
건 11
 
2.6%
Other values (88) 248
57.9%
Common
ValueCountFrequency (%)
15
32.6%
) 12
26.1%
( 12
26.1%
, 2
 
4.3%
2 2
 
4.3%
9 1
 
2.2%
4 1
 
2.2%
1 1
 
2.2%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 419
88.2%
ASCII 47
 
9.9%
None 9
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 45
 
10.7%
사 24
 
5.7%
택 17
 
4.1%
식 15
 
3.6%
회 15
 
3.6%
지 14
 
3.3%
탁 14
 
3.3%
신 13
 
3.1%
한 12
 
2.9%
건 11
 
2.6%
Other values (87) 239
57.0%
ASCII
ValueCountFrequency (%)
15
31.9%
) 12
25.5%
( 12
25.5%
, 2
 
4.3%
2 2
 
4.3%
A 1
 
2.1%
9 1
 
2.1%
4 1
 
2.1%
1 1
 
2.1%
None
ValueCountFrequency (%)
㈜ 9
100.0%

시공자
Text

Distinct37
Distinct (%)75.5%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-12T23:39:25.023166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length10
Mean length6.4489796
Min length1

Characters and Unicode

Total characters316
Distinct characters71
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)59.2%

Sample

1st row우방산업㈜
2nd row(주)대명종합건설
3rd row(주)유승종합건설
4th row(주)효성
5th row
ValueCountFrequency (%)
주)유승종합건설 3
 
6.4%
주)금강주택 3
 
6.4%
주)대우건설 3
 
6.4%
지에스건설㈜ 2
 
4.3%
현대산업개발㈜ 2
 
4.3%
주)신안 2
 
4.3%
주식회사한양 2
 
4.3%
우방산업㈜ 1
 
2.1%
한신공영㈜ 1
 
2.1%
우광종합건설㈜ 1
 
2.1%
Other values (27) 27
57.4%
2023-12-12T23:39:25.347837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 27
 
8.5%
건 26
 
8.2%
설 24
 
7.6%
㈜ 22
 
7.0%
( 19
 
6.0%
) 19
 
6.0%
대 8
 
2.5%
업 8
 
2.5%
합 8
 
2.5%
종 8
 
2.5%
Other values (61) 147
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 252
79.7%
Other Symbol 22
 
7.0%
Open Punctuation 19
 
6.0%
Close Punctuation 19
 
6.0%
Space Separator 4
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 27
 
10.7%
건 26
 
10.3%
설 24
 
9.5%
대 8
 
3.2%
업 8
 
3.2%
합 8
 
3.2%
종 8
 
3.2%
우 7
 
2.8%
사 7
 
2.8%
산 6
 
2.4%
Other values (57) 123
48.8%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 274
86.7%
Common 42
 
13.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 27
 
9.9%
건 26
 
9.5%
설 24
 
8.8%
㈜ 22
 
8.0%
대 8
 
2.9%
업 8
 
2.9%
합 8
 
2.9%
종 8
 
2.9%
우 7
 
2.6%
사 7
 
2.6%
Other values (58) 129
47.1%
Common
ValueCountFrequency (%)
( 19
45.2%
) 19
45.2%
4
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 252
79.7%
ASCII 42
 
13.3%
None 22
 
7.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 27
 
10.7%
건 26
 
10.3%
설 24
 
9.5%
대 8
 
3.2%
업 8
 
3.2%
합 8
 
3.2%
종 8
 
3.2%
우 7
 
2.8%
사 7
 
2.8%
산 6
 
2.4%
Other values (57) 123
48.8%
None
ValueCountFrequency (%)
㈜ 22
100.0%
ASCII
ValueCountFrequency (%)
( 19
45.2%
) 19
45.2%
4
 
9.5%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-05-15
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-15
2nd row2023-05-15
3rd row2023-05-15
4th row2023-05-15
5th row2023-05-15

Common Values

ValueCountFrequency (%)
2023-05-15 49
100.0%

Length

2023-12-12T23:39:25.471081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:39:25.544930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-15 49
100.0%

Interactions

2023-12-12T23:39:19.471805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:18.174345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:18.603312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:19.070095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:19.567528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:18.292451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:18.724848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:19.165772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:19.689711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:18.416593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:18.848722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:19.286252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:19.802156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:18.508392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:18.953198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T23:39:19.383450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T23:39:25.601171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번건축물명칭대지위치사업승인일착공예정일사용검사예정일대지면적(제곱미터)연면적(제곱미터)총세대수사업주체시공자
연번1.0000.7460.9360.9170.9170.9550.4260.3590.1830.8000.425
건축물명칭0.7461.0000.9860.9860.9860.9900.9550.9670.8911.0000.775
대지위치0.9360.9861.0000.9960.9981.0001.0000.0001.0000.9730.990
사업승인일0.9170.9860.9961.0000.9961.0000.8580.9030.9330.9731.000
착공예정일0.9170.9860.9980.9961.0001.0000.0000.0000.0000.9730.969
사용검사예정일0.9550.9901.0001.0001.0001.0001.0001.0001.0001.0000.962
대지면적(제곱미터)0.4260.9551.0000.8580.0001.0001.0000.8780.8150.9080.725
연면적(제곱미터)0.3590.9670.0000.9030.0001.0000.8781.0000.9540.9290.000
총세대수0.1830.8911.0000.9330.0001.0000.8150.9541.0000.8960.390
사업주체0.8001.0000.9730.9730.9731.0000.9080.9290.8961.0000.825
시공자0.4250.7750.9901.0000.9690.9620.7250.0000.3900.8251.000
2023-12-12T23:39:25.726620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대지면적(제곱미터)연면적(제곱미터)총세대수
연번1.000-0.511-0.380-0.360
대지면적(제곱미터)-0.5111.0000.8720.809
연면적(제곱미터)-0.3800.8721.0000.850
총세대수-0.3600.8090.8501.000

Missing values

2023-12-12T23:39:19.929138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:39:20.140595image/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

연번건축물명칭대지위치사업승인일착공예정일사용검사예정일대지면적(제곱미터)연면적(제곱미터)총세대수사업주체시공자데이터기준일자
01화도센트럴우방아이유쉘경기도 남양주시 화도읍 녹촌리 5562012-02-212015-10-19<NA>43470.0131223.0808우방산업㈜우방산업㈜2023-05-15
12호평동 대명루첸아파트경기도 남양주시 호평동 410-62012-07-102012-11-082015-05-2448470.0177265.01130(주)대명종합건설(주)대명종합건설2023-05-15
23별내 유승한내들 이노스타경기도 남양주시 별내동 8932012-08-082012-09-05<NA>11670.029063.0204(주)유승종합건설(주)유승종합건설2023-05-15
34화도 효성해링턴 플레이스경기도 남양주시 화도읍 월산리 15272012-11-092013-02-05<NA>31588.0100354.0635화도지역주택조합(주)효성2023-05-15
45남양주 묵현5지구 아파트경기도 남양주시 화도읍 묵현리 산 156-32012-11-152012-10-152015-10-1570965.0229659.01532(주)마석개발2023-05-15
56별내아이파크2차경기도 남양주시 별내동 8522013-01-292013-04-19<NA>56537.0162539.01083아이앤콘스㈜현대산업개발㈜2023-05-15
67별내 푸르지오경기도 남양주시 별내동 8712013-09-162013-10-072015-12-3161110.0169879.01100(주)대우건설(주)대우건설2023-05-15
78남양주 창현 도뮤토경기도 남양주시 화도읍 창현리 7782014-07-252014-10-06<NA>18744.055954.0446한국자산신탁㈜(주)포스코에이앤씨건축사사무소2023-05-15
89더샵 남양주퍼스트시티경기도 남양주시 진접읍 부평리 6532014-12-112019-03-222021-11-2949476.0155366.01153대한토지신탁 주식회사(주)포스코건설2023-05-15
910마석 힐즈파크 푸르지오경기도 남양주시 화도읍 마석우리 6002014-12-302015-07-292018-02-2825745.083932.0620아시아신탁㈜(주)대우건설2023-05-15
연번건축물명칭대지위치사업승인일착공예정일사용검사예정일대지면적(제곱미터)연면적(제곱미터)총세대수사업주체시공자데이터기준일자
3940LH아파트경기도 남양주시 금곡동 687-162019-12-122020-10-152022-06-307859.037510.0352한국토지주택공사(주)우남건설2023-05-15
4041나라키움 남양주 복합청사경기도 남양주시 다산동 6722020-03-232021-02-092022-07-315330.010398.074기획재정부우광종합건설㈜2023-05-15
4142부영아파트경기도 남양주시 화도읍 산 652020-04-102021-06-252024-04-3026140.084866.0563(주)부영주택2023-05-15
4243별내 자이 더 스타경기도 남양주시 별내동 택지개발지구 특별계획구역2 복합12020-07-202020-10-012023-11-3035940.0169929.0740한국자산신탁㈜지에스건설㈜2023-05-15
4344도농공원 개발행위 특례사업경기도 남양주시 다산동 34732020-08-062021-01-162023-12-1512500.059876.0350코리아신탁㈜효성중공업㈜2023-05-15
4445금곡역지역주택조합 아파트경기도 남양주시 금곡동 404-202020-08-112021-11-112024-09-118108.054747.0406금곡역지역주택조합한신공영㈜2023-05-15
4546LH아파트경기도 남양주시 별내동 805-22020-09-242021-04-122023-07-3123067.053896.0576한국토지주택공사(주)금강주택2023-05-15
4647남양주 진접지구 4BL 연립주택 신축공사경기도 남양주시 진접읍 금곡리 9682020-10-232020-12-302023-03-3028711.047016.0236(주)유승종합건설(주)유승종합건설2023-05-15
4748퇴계원역1차 지역주택조합경기도 남양주시 퇴계원읍 퇴계원리 142-27번지 일원2022-12-092023-03-032025-12-308782.02799.677227퇴계원역1차주택조합, 동아건설산업㈜동아건설산업㈜2023-05-15
4849센트럴N49주상복합경기도 남양주시 평내동 660-6번지2022-12-132023-03-312027-03-316688.96119049.7540센트럴엔49피에프브이, 주식회사 유앤아이건설그룹금호건설 주식회사2023-05-15