Overview

Dataset statistics

Number of variables13
Number of observations667
Missing cells37
Missing cells (%)0.4%
Duplicate rows113
Duplicate rows (%)16.9%
Total size in memory69.8 KiB
Average record size in memory107.2 B

Variable types

Categorical8
Text2
Numeric3

Dataset

Description민원인이 요청한 동두천시 원룸 및 오피스텔 현황(건물명, 대지면적, 건물면적, 주용도, 세부용도, 층수, 세대, 층용도)등을 제공하고자 합니다.
Author경기도 동두천시
URLhttps://www.data.go.kr/data/15127114/fileData.do

Alerts

시군구명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 113 (16.9%) duplicate rowsDuplicates
대지면적 is highly overall correlated with 건축면적 and 1 other fieldsHigh correlation
건축면적 is highly overall correlated with 대지면적 and 1 other fieldsHigh correlation
층수 is highly overall correlated with 건물명 and 3 other fieldsHigh correlation
건물명 is highly overall correlated with 층수 and 2 other fieldsHigh correlation
주용도 is highly overall correlated with 층수 and 3 other fieldsHigh correlation
세부용도 is highly overall correlated with 층수 and 1 other fieldsHigh correlation
세대(가구) is highly overall correlated with 대지면적 and 4 other fieldsHigh correlation
건물명 is highly imbalanced (80.5%)Imbalance
주용도 is highly imbalanced (66.3%)Imbalance
대지면적 has 37 (5.5%) missing valuesMissing
대지면적 has 15 (2.2%) zerosZeros

Reproduction

Analysis started2024-03-16 04:19:19.843427
Analysis finished2024-03-16 04:19:23.517940
Duration3.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건물명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
데이터미집계
603 
브라운스톤 동두천
 
24
생연파티오
 
6
제1호
 
4
해피빌
 
4
Other values (10)
 
26

Length

Max length9
Median length6
Mean length6.0494753
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
데이터미집계 603
90.4%
브라운스톤 동두천 24
 
3.6%
생연파티오 6
 
0.9%
제1호 4
 
0.6%
해피빌 4
 
0.6%
참좋은오피스텔 4
 
0.6%
백년오피스텔 4
 
0.6%
샵클래시 3
 
0.4%
생연빌 B동 3
 
0.4%
모드니빌 3
 
0.4%
Other values (5) 9
 
1.3%

Length

2024-03-16T13:19:23.734674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
데이터미집계 603
86.5%
동두천 24
 
3.4%
브라운스톤 24
 
3.4%
생연파티오 6
 
0.9%
제1호 4
 
0.6%
해피빌 4
 
0.6%
참좋은오피스텔 4
 
0.6%
백년오피스텔 4
 
0.6%
모드니빌 3
 
0.4%
오피스텔 3
 
0.4%
Other values (8) 18
 
2.6%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
동두천시
667 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동두천시 667
100.0%

Length

2024-03-16T13:19:23.970632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:19:24.167536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동두천시 667
100.0%

소재지주소
Text

Distinct272
Distinct (%)40.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-16T13:19:24.543702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length21.742129
Min length17

Characters and Unicode

Total characters14502
Distinct characters36
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

Unique54 ?
Unique (%)8.1%

Sample

1st row경기도 동두천시 생연동 0578-0012
2nd row경기도 동두천시 광암동 0008-0005
3rd row경기도 동두천시 광암동 0008-0007
4th row경기도 동두천시 송내동 0672
5th row경기도 동두천시 생연동 0664-0101
ValueCountFrequency (%)
경기도 667
25.0%
동두천시 667
25.0%
생연동 266
 
10.0%
지행동 125
 
4.7%
송내동 68
 
2.5%
보산동 51
 
1.9%
동두천동 43
 
1.6%
상패동 42
 
1.6%
상봉암동 24
 
0.9%
0832 24
 
0.9%
Other values (273) 691
25.9%
2024-03-16T13:19:25.133147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2391
16.5%
2001
13.8%
동 1386
 
9.6%
두 710
 
4.9%
천 710
 
4.9%
경 667
 
4.6%
도 667
 
4.6%
시 667
 
4.6%
기 667
 
4.6%
- 617
 
4.3%
Other values (26) 4019
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6748
46.5%
Decimal Number 5136
35.4%
Space Separator 2001
 
13.8%
Dash Punctuation 617
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1386
20.5%
두 710
10.5%
천 710
10.5%
경 667
9.9%
도 667
9.9%
시 667
9.9%
기 667
9.9%
연 266
 
3.9%
생 266
 
3.9%
지 125
 
1.9%
Other values (14) 617
9.1%
Decimal Number
ValueCountFrequency (%)
0 2391
46.6%
1 378
 
7.4%
2 368
 
7.2%
6 358
 
7.0%
3 339
 
6.6%
4 328
 
6.4%
8 297
 
5.8%
5 251
 
4.9%
7 238
 
4.6%
9 188
 
3.7%
Space Separator
ValueCountFrequency (%)
2001
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 617
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7754
53.5%
Hangul 6748
46.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1386
20.5%
두 710
10.5%
천 710
10.5%
경 667
9.9%
도 667
9.9%
시 667
9.9%
기 667
9.9%
연 266
 
3.9%
생 266
 
3.9%
지 125
 
1.9%
Other values (14) 617
9.1%
Common
ValueCountFrequency (%)
0 2391
30.8%
2001
25.8%
- 617
 
8.0%
1 378
 
4.9%
2 368
 
4.7%
6 358
 
4.6%
3 339
 
4.4%
4 328
 
4.2%
8 297
 
3.8%
5 251
 
3.2%
Other values (2) 426
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7754
53.5%
Hangul 6748
46.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2391
30.8%
2001
25.8%
- 617
 
8.0%
1 378
 
4.9%
2 368
 
4.7%
6 358
 
4.6%
3 339
 
4.4%
4 328
 
4.2%
8 297
 
3.8%
5 251
 
3.2%
Other values (2) 426
 
5.5%
Hangul
ValueCountFrequency (%)
동 1386
20.5%
두 710
10.5%
천 710
10.5%
경 667
9.9%
도 667
9.9%
시 667
9.9%
기 667
9.9%
연 266
 
3.9%
생 266
 
3.9%
지 125
 
1.9%
Other values (14) 617
9.1%

대지면적
Real number (ℝ)

HIGH CORRELATION  MISSING  ZEROS 

Distinct347
Distinct (%)55.1%
Missing37
Missing (%)5.5%
Infinite0
Infinite (%)0.0%
Mean1252.9387
Minimum0
Maximum195100
Zeros15
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-03-16T13:19:25.374643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile92.2645
Q1155
median236
Q3421.65
95-th percentile3260.9
Maximum195100
Range195100
Interquartile range (IQR)266.65

Descriptive statistics

Standard deviation8886.6936
Coefficient of variation (CV)7.0926801
Kurtosis382.57697
Mean1252.9387
Median Absolute Deviation (MAD)105.3
Skewness18.635645
Sum789351.4
Variance78973323
MonotonicityNot monotonic
2024-03-16T13:19:25.576130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9755.0 21
 
3.1%
0.0 15
 
2.2%
155.0 8
 
1.2%
162.0 7
 
1.0%
124.0 6
 
0.9%
907.0 6
 
0.9%
434.0 6
 
0.9%
218.0 6
 
0.9%
185.0 5
 
0.7%
133.0 5
 
0.7%
Other values (337) 545
81.7%
(Missing) 37
 
5.5%
ValueCountFrequency (%)
0.0 15
2.2%
55.19 2
 
0.3%
66.0 1
 
0.1%
67.0 1
 
0.1%
69.0 1
 
0.1%
74.84 1
 
0.1%
75.2 1
 
0.1%
78.04 2
 
0.3%
79.0 1
 
0.1%
81.0 1
 
0.1%
ValueCountFrequency (%)
195100.0 1
 
0.1%
97550.0 1
 
0.1%
19510.0 1
 
0.1%
17370.0 1
 
0.1%
9755.0 21
3.1%
7595.0 1
 
0.1%
6288.0 1
 
0.1%
6172.0 1
 
0.1%
5884.0 1
 
0.1%
4629.0 1
 
0.1%

건축면적
Real number (ℝ)

HIGH CORRELATION 

Distinct430
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516.17883
Minimum21.42
Maximum81622.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-03-16T13:19:26.184685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21.42
5-th percentile66.373
Q197.105
median142.32
Q3228.47
95-th percentile1056.775
Maximum81622.6
Range81601.18
Interquartile range (IQR)131.365

Descriptive statistics

Standard deviation3600.3597
Coefficient of variation (CV)6.9750239
Kurtosis411.01035
Mean516.17883
Median Absolute Deviation (MAD)55.87
Skewness19.373741
Sum344291.28
Variance12962590
MonotonicityNot monotonic
2024-03-16T13:19:26.394544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4081.13 21
 
3.1%
252.18 12
 
1.8%
219.6 6
 
0.9%
122.24 5
 
0.7%
156.94 5
 
0.7%
202.69 5
 
0.7%
142.44 5
 
0.7%
98.15 5
 
0.7%
150.0 4
 
0.6%
125.19 4
 
0.6%
Other values (420) 595
89.2%
ValueCountFrequency (%)
21.42 1
0.1%
44.35 2
0.3%
46.74 1
0.1%
46.81 1
0.1%
48.51 1
0.1%
48.74 1
0.1%
50.78 1
0.1%
52.68 1
0.1%
53.72 2
0.3%
54.65 1
0.1%
ValueCountFrequency (%)
81622.6 1
 
0.1%
40811.3 1
 
0.1%
8162.26 1
 
0.1%
4081.13 21
3.1%
3269.55 1
 
0.1%
2327.15 1
 
0.1%
2185.52 1
 
0.1%
2046.7 1
 
0.1%
1908.56 1
 
0.1%
1639.14 1
 
0.1%

주용도
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
단독주택
579 
업무시설
 
46
공동주택
 
24
제2종근린생활시설
 
10
제1종근린생활시설
 
8

Length

Max length9
Median length4
Mean length4.1349325
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
단독주택 579
86.8%
업무시설 46
 
6.9%
공동주택 24
 
3.6%
제2종근린생활시설 10
 
1.5%
제1종근린생활시설 8
 
1.2%

Length

2024-03-16T13:19:26.612350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:19:26.750443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
단독주택 579
86.8%
업무시설 46
 
6.9%
공동주택 24
 
3.6%
제2종근린생활시설 10
 
1.5%
제1종근린생활시설 8
 
1.2%

세부용도
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
다가구용단독주택
239 
다가구주택
148 
업무시설
43 
단독주택(다가구주택)
36 
근린생활시설, 다가구용단독주택
31 
Other values (25)
170 

Length

Max length30
Median length19
Mean length9.4437781
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row다가구주택/근린생활시설
2nd row단독주택(다가구주택)
3rd row단독주택(다가구주택)
4th row제2종근린생활시설/다가구주택
5th row다가구주택

Common Values

ValueCountFrequency (%)
다가구용단독주택 239
35.8%
다가구주택 148
22.2%
업무시설 43
 
6.4%
단독주택(다가구주택) 36
 
5.4%
근린생활시설, 다가구용단독주택 31
 
4.6%
근린생활시설/다가구용단독주택 28
 
4.2%
공동주택(아파트),업무시설(오피스텔),제2종근린생활시설 24
 
3.6%
다가구용 단독주택 19
 
2.8%
단독주택(다가구) 14
 
2.1%
다가구용단독주택(3가구) 10
 
1.5%
Other values (20) 75
 
11.2%

Length

2024-03-16T13:19:26.922702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
다가구용단독주택 284
37.7%
다가구주택 155
20.6%
업무시설 43
 
5.7%
근린생활시설 42
 
5.6%
단독주택(다가구주택 36
 
4.8%
근린생활시설/다가구용단독주택 28
 
3.7%
다가구용 25
 
3.3%
단독주택 25
 
3.3%
공동주택(아파트),업무시설(오피스텔),제2종근린생활시설 24
 
3.2%
단독주택(다가구 14
 
1.9%
Other values (16) 77
 
10.2%

층수
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6161919
Minimum1
Maximum20
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.0 KiB
2024-03-16T13:19:27.065772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q12
median3
Q34
95-th percentile10
Maximum20
Range19
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.5246334
Coefficient of variation (CV)0.97468097
Kurtosis14.527665
Mean3.6161919
Median Absolute Deviation (MAD)1
Skewness3.8060978
Sum2412
Variance12.423041
MonotonicityNot monotonic
2024-03-16T13:19:27.264257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2 247
37.0%
3 230
34.5%
4 103
15.4%
20 24
 
3.6%
1 22
 
3.3%
5 12
 
1.8%
10 11
 
1.6%
7 10
 
1.5%
8 4
 
0.6%
15 2
 
0.3%
ValueCountFrequency (%)
1 22
 
3.3%
2 247
37.0%
3 230
34.5%
4 103
15.4%
5 12
 
1.8%
6 2
 
0.3%
7 10
 
1.5%
8 4
 
0.6%
10 11
 
1.6%
15 2
 
0.3%
ValueCountFrequency (%)
20 24
 
3.6%
15 2
 
0.3%
10 11
 
1.6%
8 4
 
0.6%
7 10
 
1.5%
6 2
 
0.3%
5 12
 
1.8%
4 103
15.4%
3 230
34.5%
2 247
37.0%

세대(가구)
Categorical

HIGH CORRELATION 

Distinct32
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
4
154 
2
105 
3
105 
5
62 
10
37 
Other values (27)
204 

Length

Max length8
Median length1
Mean length1.2818591
Min length1

Unique

Unique11 ?
Unique (%)1.6%

Sample

1st row1
2nd row4
3rd row4
4th row8
5th row8

Common Values

ValueCountFrequency (%)
4 154
23.1%
2 105
15.7%
3 105
15.7%
5 62
9.3%
10 37
 
5.5%
6 33
 
4.9%
8 27
 
4.0%
7 24
 
3.6%
278 21
 
3.1%
<NA> 16
 
2.4%
Other values (22) 83
12.4%

Length

2024-03-16T13:19:27.481684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
4 154
23.1%
2 105
15.7%
3 105
15.7%
5 62
9.3%
10 37
 
5.5%
6 33
 
4.9%
8 27
 
4.0%
7 24
 
3.6%
278 21
 
3.1%
na 16
 
2.4%
Other values (22) 83
12.4%

층용도
Text

Distinct55
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-16T13:19:27.816233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length6
Mean length6.4167916
Min length2

Characters and Unicode

Total characters4280
Distinct characters89
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)6.7%

Sample

1st row데이터미집계
2nd row데이터미집계
3rd row데이터미집계
4th row데이터미집계
5th row데이터미집계
ValueCountFrequency (%)
데이터미집계 597
89.2%
업무시설 7
 
1.0%
계단실 4
 
0.6%
업무시설(오피스텔 3
 
0.4%
제1종근린생활시설 3
 
0.4%
주차장 2
 
0.3%
공동주택(도시형생활주택_단지형다세대)-2세대 2
 
0.3%
업무시설(오피스텔)-2호 2
 
0.3%
다락 2
 
0.3%
제2종근린생활시설 2
 
0.3%
Other values (45) 45
 
6.7%
2024-03-16T13:19:28.416030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
계 615
14.4%
터 599
14.0%
이 598
14.0%
데 597
13.9%
미 597
13.9%
집 597
13.9%
실 43
 
1.0%
) 43
 
1.0%
( 43
 
1.0%
시 40
 
0.9%
Other values (79) 508
11.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4138
96.7%
Close Punctuation 43
 
1.0%
Open Punctuation 43
 
1.0%
Decimal Number 20
 
0.5%
Other Punctuation 12
 
0.3%
Dash Punctuation 9
 
0.2%
Uppercase Letter 7
 
0.2%
Connector Punctuation 6
 
0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 615
14.9%
터 599
14.5%
이 598
14.5%
데 597
14.4%
미 597
14.4%
집 597
14.4%
실 43
 
1.0%
시 40
 
1.0%
설 37
 
0.9%
주 29
 
0.7%
Other values (62) 386
9.3%
Uppercase Letter
ValueCountFrequency (%)
E 2
28.6%
M 1
14.3%
F 1
14.3%
L 1
14.3%
V 1
14.3%
D 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 13
65.0%
1 4
 
20.0%
5 2
 
10.0%
4 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 8
66.7%
/ 4
33.3%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4138
96.7%
Common 135
 
3.2%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 615
14.9%
터 599
14.5%
이 598
14.5%
데 597
14.4%
미 597
14.4%
집 597
14.4%
실 43
 
1.0%
시 40
 
1.0%
설 37
 
0.9%
주 29
 
0.7%
Other values (62) 386
9.3%
Common
ValueCountFrequency (%)
) 43
31.9%
( 43
31.9%
2 13
 
9.6%
- 9
 
6.7%
, 8
 
5.9%
_ 6
 
4.4%
1 4
 
3.0%
/ 4
 
3.0%
2
 
1.5%
5 2
 
1.5%
Latin
ValueCountFrequency (%)
E 2
28.6%
M 1
14.3%
F 1
14.3%
L 1
14.3%
V 1
14.3%
D 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4138
96.7%
ASCII 142
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
계 615
14.9%
터 599
14.5%
이 598
14.5%
데 597
14.4%
미 597
14.4%
집 597
14.4%
실 43
 
1.0%
시 40
 
1.0%
설 37
 
0.9%
주 29
 
0.7%
Other values (62) 386
9.3%
ASCII
ValueCountFrequency (%)
) 43
30.3%
( 43
30.3%
2 13
 
9.2%
- 9
 
6.3%
, 8
 
5.6%
_ 6
 
4.2%
1 4
 
2.8%
/ 4
 
2.8%
2
 
1.4%
E 2
 
1.4%
Other values (7) 8
 
5.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
경기도 동두천시 건축과
667 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 동두천시 건축과
2nd row경기도 동두천시 건축과
3rd row경기도 동두천시 건축과
4th row경기도 동두천시 건축과
5th row경기도 동두천시 건축과

Common Values

ValueCountFrequency (%)
경기도 동두천시 건축과 667
100.0%

Length

2024-03-16T13:19:28.625969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:19:28.751261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 667
33.3%
동두천시 667
33.3%
건축과 667
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
031-860-2401
667 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-860-2401
2nd row031-860-2401
3rd row031-860-2401
4th row031-860-2401
5th row031-860-2401

Common Values

ValueCountFrequency (%)
031-860-2401 667
100.0%

Length

2024-03-16T13:19:28.947722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:19:29.084772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-860-2401 667
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.3 KiB
2024-03-11
667 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-11
2nd row2024-03-11
3rd row2024-03-11
4th row2024-03-11
5th row2024-03-11

Common Values

ValueCountFrequency (%)
2024-03-11 667
100.0%

Length

2024-03-16T13:19:29.239545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T13:19:29.392244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-11 667
100.0%

Interactions

2024-03-16T13:19:22.456073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:21.244020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:21.939713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:22.606066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:21.563235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:22.126661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:22.791914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:21.762023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T13:19:22.298539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T13:19:29.509737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
건물명대지면적건축면적주용도세부용도층수세대(가구)층용도
건물명1.0000.2480.2950.8940.9060.9200.8970.946
대지면적0.2481.0001.0000.2380.0000.2541.0000.938
건축면적0.2951.0001.0000.2400.0000.2561.0000.940
주용도0.8940.2380.2401.0000.9670.7830.8700.912
세부용도0.9060.0000.0000.9671.0000.8740.8020.582
층수0.9200.2540.2560.7830.8741.0000.8780.958
세대(가구)0.8971.0001.0000.8700.8020.8781.0000.955
층용도0.9460.9380.9400.9120.5820.9580.9551.000
2024-03-16T13:19:29.732501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세부용도주용도건물명세대(가구)
세부용도1.0000.7700.4730.300
주용도0.7701.0000.5980.622
건물명0.4730.5981.0000.555
세대(가구)0.3000.6220.5551.000
2024-03-16T13:19:29.959840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대지면적건축면적층수건물명주용도세부용도세대(가구)
대지면적1.0000.8700.2360.1400.1840.0000.979
건축면적0.8701.0000.3580.1390.1850.0000.978
층수0.2360.3581.0000.7360.6550.5970.615
건물명0.1400.1390.7361.0000.5980.4730.555
주용도0.1840.1850.6550.5981.0000.7700.622
세부용도0.0000.0000.5970.4730.7701.0000.300
세대(가구)0.9790.9780.6150.5550.6220.3001.000

Missing values

2024-03-16T13:19:23.066225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T13:19:23.383621image/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

건물명시군구명소재지주소대지면적건축면적주용도세부용도층수세대(가구)층용도관리기관명관리기관전화번호데이터기준일자
0데이터미집계동두천시경기도 동두천시 생연동 0578-0012113.080.48단독주택다가구주택/근린생활시설21데이터미집계경기도 동두천시 건축과031-860-24012024-03-11
1데이터미집계동두천시경기도 동두천시 광암동 0008-0005<NA>146.4단독주택단독주택(다가구주택)24데이터미집계경기도 동두천시 건축과031-860-24012024-03-11
2데이터미집계동두천시경기도 동두천시 광암동 0008-0007<NA>146.4단독주택단독주택(다가구주택)24데이터미집계경기도 동두천시 건축과031-860-24012024-03-11
3데이터미집계동두천시경기도 동두천시 송내동 0672435.0247.44단독주택제2종근린생활시설/다가구주택38데이터미집계경기도 동두천시 건축과031-860-24012024-03-11
4데이터미집계동두천시경기도 동두천시 생연동 0664-0101346.0282.08단독주택다가구주택38데이터미집계경기도 동두천시 건축과031-860-24012024-03-11
5데이터미집계동두천시경기도 동두천시 상패동 0011-0023230.0203.82단독주택다가구주택28데이터미집계경기도 동두천시 건축과031-860-24012024-03-11
6데이터미집계동두천시경기도 동두천시 광암동 0151-0001988.0269.1단독주택다가구주택24데이터미집계경기도 동두천시 건축과031-860-24012024-03-11
7데이터미집계동두천시경기도 동두천시 지행동 0275-0012657.0351.21단독주택다가구용단독주택(3가구)39데이터미집계경기도 동두천시 건축과031-860-24012024-03-11
8데이터미집계동두천시경기도 동두천시 생연동 0536-0006126.066.84단독주택근린생활시설/다가구용단독주택32데이터미집계경기도 동두천시 건축과031-860-24012024-03-11
9데이터미집계동두천시경기도 동두천시 보산동 0379-001079.046.81단독주택다가구주택33데이터미집계경기도 동두천시 건축과031-860-24012024-03-11
건물명시군구명소재지주소대지면적건축면적주용도세부용도층수세대(가구)층용도관리기관명관리기관전화번호데이터기준일자
657브라운스톤 동두천동두천시경기도 동두천시 생연동 08329755.04081.13공동주택공동주택(아파트),업무시설(오피스텔),제2종근린생활시설20278공동주택(관리사무실)경기도 동두천시 건축과031-860-24012024-03-11
658브라운스톤 동두천동두천시경기도 동두천시 생연동 0832195100.081622.6공동주택공동주택(아파트),업무시설(오피스텔),제2종근린생활시설205,560.00공동주택(아파트)경기도 동두천시 건축과031-860-24012024-03-11
659생연파티오동두천시경기도 동두천시 생연동 0826-00033086.01092.76업무시설업무시설1030업무시설(오피스텔-2세대)경기도 동두천시 건축과031-860-24012024-03-11
660데이터미집계동두천시경기도 동두천시 보산동 0370-0019<NA>1908.56업무시설업무시설864공동주택(도시형생활주택_단지형다세대)-2세대경기도 동두천시 건축과031-860-24012024-03-11
661생연파티오동두천시경기도 동두천시 생연동 0826-00031543.0546.38업무시설업무시설1015제1종근린생활시설, 경비실, 계단실경기도 동두천시 건축과031-860-24012024-03-11
662데이터미집계동두천시경기도 동두천시 동두천동 0218-0003265.0157.42업무시설업무시설5<NA>오피스텔경기도 동두천시 건축과031-860-24012024-03-11
663백년오피스텔동두천시경기도 동두천시 생연동 0575-0014246.0180.19업무시설업무시설30계단실,물탱크실(연면적제외)경기도 동두천시 건축과031-860-24012024-03-11
664데이터미집계동두천시경기도 동두천시 보산동 0370-0019<NA>1431.42업무시설업무시설848업무시설(오피스텔)-2호경기도 동두천시 건축과031-860-24012024-03-11
665대학오피스텔동두천시경기도 동두천시 생연동 0684-0046323.0165.34업무시설업무시설30물탱크실,계단실(면적제외)경기도 동두천시 건축과031-860-24012024-03-11
666브라운스톤 동두천동두천시경기도 동두천시 생연동 08329755.04081.13공동주택공동주택(아파트),업무시설(오피스텔),제2종근린생활시설20278공동주택(전기실/기계실)경기도 동두천시 건축과031-860-24012024-03-11

Duplicate rows

Most frequently occurring

건물명시군구명소재지주소대지면적건축면적주용도세부용도층수세대(가구)층용도관리기관명관리기관전화번호데이터기준일자# duplicates
16데이터미집계동두천시경기도 동두천시 상봉암동 0069-0021907.0252.18단독주택근린생활시설, 다가구용단독주택43데이터미집계경기도 동두천시 건축과031-860-24012024-03-116
17데이터미집계동두천시경기도 동두천시 상봉암동 0071-0016434.0252.18단독주택근린생활시설, 다가구용단독주택43데이터미집계경기도 동두천시 건축과031-860-24012024-03-116
44데이터미집계동두천시경기도 동두천시 생연동 0557-0050185.0142.44단독주택단독주택(다가구용)46데이터미집계경기도 동두천시 건축과031-860-24012024-03-115
47데이터미집계동두천시경기도 동두천시 생연동 0574-0008175.0122.24단독주택근린생활시설/다가구용단독주택33데이터미집계경기도 동두천시 건축과031-860-24012024-03-115
51데이터미집계동두천시경기도 동두천시 생연동 0588-0028301.92202.69제1종근린생활시설근린생활시설/다가구용단독주택42데이터미집계경기도 동두천시 건축과031-860-24012024-03-115
71데이터미집계동두천시경기도 동두천시 송내동 0593-0022167.9698.15단독주택근린생활시설및다가구용단독주택44데이터미집계경기도 동두천시 건축과031-860-24012024-03-115
35데이터미집계동두천시경기도 동두천시 생연동 0483-0044117.1192.44단독주택다가구용 단독주택23데이터미집계경기도 동두천시 건축과031-860-24012024-03-114
38데이터미집계동두천시경기도 동두천시 생연동 0511-0020208.0121.51단독주택다가구용단독주택/근린생활시설23데이터미집계경기도 동두천시 건축과031-860-24012024-03-114
61데이터미집계동두천시경기도 동두천시 생연동 0819-0041155.091.98제2종근린생활시설다가구용단독주택43데이터미집계경기도 동두천시 건축과031-860-24012024-03-114
62데이터미집계동두천시경기도 동두천시 생연동 0819-0067122.573.11단독주택다가구용단독주택33데이터미집계경기도 동두천시 건축과031-860-24012024-03-114