Overview

Dataset statistics

Number of variables10
Number of observations654
Missing cells88
Missing cells (%)1.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory54.4 KiB
Average record size in memory85.2 B

Variable types

Numeric5
Text2
Categorical2
DateTime1

Dataset

Description인천광역시 연수구 소재 집합건물(소재지 주소, 건물명, 연면적, 주용도, 세대수, 가구수 등)에 관한 현황 정보입니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15099879&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일 has constant value ""Constant
순번 is highly overall correlated with 가구수 and 1 other fieldsHigh correlation
연면적(제곱미터) is highly overall correlated with 세대수High correlation
세대수 is highly overall correlated with 연면적(제곱미터) and 2 other fieldsHigh correlation
가구수 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
호수 is highly overall correlated with 순번 and 2 other fieldsHigh correlation
건물명 has 87 (13.3%) missing valuesMissing
순번 has unique valuesUnique
세대수 has 463 (70.8%) zerosZeros
가구수 has 530 (81.0%) zerosZeros
호수 has 537 (82.1%) zerosZeros

Reproduction

Analysis started2024-01-28 09:40:09.154224
Analysis finished2024-01-28 09:40:12.047537
Duration2.89 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct654
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.5
Minimum1
Maximum654
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-01-28T18:40:12.109787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.65
Q1164.25
median327.5
Q3490.75
95-th percentile621.35
Maximum654
Range653
Interquartile range (IQR)326.5

Descriptive statistics

Standard deviation188.93782
Coefficient of variation (CV)0.57690938
Kurtosis-1.2
Mean327.5
Median Absolute Deviation (MAD)163.5
Skewness0
Sum214185
Variance35697.5
MonotonicityStrictly increasing
2024-01-28T18:40:12.224550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
451 1
 
0.2%
433 1
 
0.2%
434 1
 
0.2%
435 1
 
0.2%
436 1
 
0.2%
437 1
 
0.2%
438 1
 
0.2%
439 1
 
0.2%
440 1
 
0.2%
Other values (644) 644
98.5%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
654 1
0.2%
653 1
0.2%
652 1
0.2%
651 1
0.2%
650 1
0.2%
649 1
0.2%
648 1
0.2%
647 1
0.2%
646 1
0.2%
645 1
0.2%

소재지 주소
Text

Distinct501
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2024-01-28T18:40:12.455892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length30
Mean length25.518349
Min length16

Characters and Unicode

Total characters16689
Distinct characters306
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique454 ?
Unique (%)69.4%

Sample

1st row인천광역시 연수구 앵고개로 206번길 10 태평1차아파트
2nd row인천광역시 연수구 먼우금로 83번길 49 대림3차아파트
3rd row인천광역시 연수구 먼우금로 161번길 12 롯데아파트
4th row인천광역시 연수구 동곡재로 117번길 22 연수3차대우아파트
5th row인천광역시 연수구 먼우금로 149 풍림연수3차아파트
ValueCountFrequency (%)
연수구 654
18.7%
인천광역시 650
18.6%
송도동 342
 
9.8%
송도 93
 
2.7%
옥련동 63
 
1.8%
연수동 51
 
1.5%
더샵 50
 
1.4%
동춘동 44
 
1.3%
청학동 26
 
0.7%
선학동 25
 
0.7%
Other values (815) 1497
42.8%
2024-01-28T18:40:12.770412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2846
 
17.1%
연 744
 
4.5%
수 739
 
4.4%
시 707
 
4.2%
인 677
 
4.1%
구 659
 
3.9%
광 653
 
3.9%
천 653
 
3.9%
역 650
 
3.9%
동 626
 
3.8%
Other values (296) 7735
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10956
65.6%
Space Separator 2846
 
17.1%
Decimal Number 2374
 
14.2%
Dash Punctuation 402
 
2.4%
Uppercase Letter 81
 
0.5%
Other Punctuation 12
 
0.1%
Lowercase Letter 11
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
연 744
 
6.8%
수 739
 
6.7%
시 707
 
6.5%
인 677
 
6.2%
구 659
 
6.0%
광 653
 
6.0%
천 653
 
6.0%
역 650
 
5.9%
동 626
 
5.7%
송 489
 
4.5%
Other values (254) 4359
39.8%
Uppercase Letter
ValueCountFrequency (%)
S 14
17.3%
B 9
11.1%
K 8
9.9%
L 7
8.6%
I 7
8.6%
W 4
 
4.9%
D 4
 
4.9%
F 4
 
4.9%
E 4
 
4.9%
V 3
 
3.7%
Other values (9) 17
21.0%
Decimal Number
ValueCountFrequency (%)
1 564
23.8%
3 345
14.5%
2 339
14.3%
9 220
 
9.3%
4 202
 
8.5%
5 181
 
7.6%
0 166
 
7.0%
8 142
 
6.0%
6 128
 
5.4%
7 87
 
3.7%
Lowercase Letter
ValueCountFrequency (%)
e 5
45.5%
t 2
 
18.2%
s 2
 
18.2%
i 1
 
9.1%
a 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 7
58.3%
. 3
25.0%
& 2
 
16.7%
Space Separator
ValueCountFrequency (%)
2846
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 402
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10956
65.6%
Common 5640
33.8%
Latin 93
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
연 744
 
6.8%
수 739
 
6.7%
시 707
 
6.5%
인 677
 
6.2%
구 659
 
6.0%
광 653
 
6.0%
천 653
 
6.0%
역 650
 
5.9%
동 626
 
5.7%
송 489
 
4.5%
Other values (254) 4359
39.8%
Latin
ValueCountFrequency (%)
S 14
15.1%
B 9
 
9.7%
K 8
 
8.6%
L 7
 
7.5%
I 7
 
7.5%
e 5
 
5.4%
W 4
 
4.3%
D 4
 
4.3%
F 4
 
4.3%
E 4
 
4.3%
Other values (15) 27
29.0%
Common
ValueCountFrequency (%)
2846
50.5%
1 564
 
10.0%
- 402
 
7.1%
3 345
 
6.1%
2 339
 
6.0%
9 220
 
3.9%
4 202
 
3.6%
5 181
 
3.2%
0 166
 
2.9%
8 142
 
2.5%
Other values (7) 233
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10956
65.6%
ASCII 5732
34.3%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2846
49.7%
1 564
 
9.8%
- 402
 
7.0%
3 345
 
6.0%
2 339
 
5.9%
9 220
 
3.8%
4 202
 
3.5%
5 181
 
3.2%
0 166
 
2.9%
8 142
 
2.5%
Other values (31) 325
 
5.7%
Hangul
ValueCountFrequency (%)
연 744
 
6.8%
수 739
 
6.7%
시 707
 
6.5%
인 677
 
6.2%
구 659
 
6.0%
광 653
 
6.0%
천 653
 
6.0%
역 650
 
5.9%
동 626
 
5.7%
송 489
 
4.5%
Other values (254) 4359
39.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

건물명
Text

MISSING 

Distinct397
Distinct (%)70.0%
Missing87
Missing (%)13.3%
Memory size5.2 KiB
2024-01-28T18:40:12.956194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length8.9700176
Min length2

Characters and Unicode

Total characters5086
Distinct characters295
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique337 ?
Unique (%)59.4%

Sample

1st row태평1차아파트
2nd row대림3차아파트
3rd row롯데아파트
4th row대우3차아파트
5th row풍림3차아파트
ValueCountFrequency (%)
송도 100
 
10.5%
더샵 50
 
5.3%
푸르지오 21
 
2.2%
센트럴 21
 
2.2%
롯데캐슬 16
 
1.7%
랜드마크시티 15
 
1.6%
힐스테이트 15
 
1.6%
캠퍼스타운 14
 
1.5%
더테라스 11
 
1.2%
글로벌 10
 
1.1%
Other values (435) 676
71.2%
2024-01-28T18:40:13.246218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
385
 
7.6%
트 277
 
5.4%
파 217
 
4.3%
아 208
 
4.1%
송 193
 
3.8%
도 191
 
3.8%
스 134
 
2.6%
더 118
 
2.3%
크 96
 
1.9%
지 95
 
1.9%
Other values (285) 3172
62.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4289
84.3%
Space Separator 385
 
7.6%
Decimal Number 200
 
3.9%
Uppercase Letter 121
 
2.4%
Open Punctuation 28
 
0.6%
Close Punctuation 28
 
0.6%
Dash Punctuation 12
 
0.2%
Lowercase Letter 12
 
0.2%
Other Punctuation 10
 
0.2%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
트 277
 
6.5%
파 217
 
5.1%
아 208
 
4.8%
송 193
 
4.5%
도 191
 
4.5%
스 134
 
3.1%
더 118
 
2.8%
크 96
 
2.2%
지 95
 
2.2%
샵 90
 
2.1%
Other values (240) 2670
62.3%
Uppercase Letter
ValueCountFrequency (%)
B 17
14.0%
S 16
13.2%
L 15
12.4%
K 11
9.1%
D 10
8.3%
F 8
 
6.6%
I 8
 
6.6%
W 4
 
3.3%
E 4
 
3.3%
A 4
 
3.3%
Other values (11) 24
19.8%
Decimal Number
ValueCountFrequency (%)
1 79
39.5%
2 58
29.0%
3 30
 
15.0%
4 10
 
5.0%
5 9
 
4.5%
8 4
 
2.0%
7 4
 
2.0%
6 3
 
1.5%
9 2
 
1.0%
0 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
50.0%
t 2
 
16.7%
s 2
 
16.7%
a 1
 
8.3%
i 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 4
40.0%
& 3
30.0%
. 2
20.0%
' 1
 
10.0%
Space Separator
ValueCountFrequency (%)
385
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4289
84.3%
Common 663
 
13.0%
Latin 134
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
트 277
 
6.5%
파 217
 
5.1%
아 208
 
4.8%
송 193
 
4.5%
도 191
 
4.5%
스 134
 
3.1%
더 118
 
2.8%
크 96
 
2.2%
지 95
 
2.2%
샵 90
 
2.1%
Other values (240) 2670
62.3%
Latin
ValueCountFrequency (%)
B 17
12.7%
S 16
11.9%
L 15
11.2%
K 11
 
8.2%
D 10
 
7.5%
F 8
 
6.0%
I 8
 
6.0%
e 6
 
4.5%
W 4
 
3.0%
E 4
 
3.0%
Other values (17) 35
26.1%
Common
ValueCountFrequency (%)
385
58.1%
1 79
 
11.9%
2 58
 
8.7%
3 30
 
4.5%
( 28
 
4.2%
) 28
 
4.2%
- 12
 
1.8%
4 10
 
1.5%
5 9
 
1.4%
, 4
 
0.6%
Other values (8) 20
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4289
84.3%
ASCII 796
 
15.7%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
385
48.4%
1 79
 
9.9%
2 58
 
7.3%
3 30
 
3.8%
( 28
 
3.5%
) 28
 
3.5%
B 17
 
2.1%
S 16
 
2.0%
L 15
 
1.9%
- 12
 
1.5%
Other values (34) 128
 
16.1%
Hangul
ValueCountFrequency (%)
트 277
 
6.5%
파 217
 
5.1%
아 208
 
4.8%
송 193
 
4.5%
도 191
 
4.5%
스 134
 
3.1%
더 118
 
2.8%
크 96
 
2.2%
지 95
 
2.2%
샵 90
 
2.1%
Other values (240) 2670
62.3%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

연면적(제곱미터)
Real number (ℝ)

HIGH CORRELATION 

Distinct628
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35116.338
Minimum0
Maximum539068
Zeros1
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-01-28T18:40:13.356540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile303.55
Q11086.75
median5842.5
Q337079.25
95-th percentile154643.5
Maximum539068
Range539068
Interquartile range (IQR)35992.5

Descriptive statistics

Standard deviation67817.175
Coefficient of variation (CV)1.9312143
Kurtosis18.201211
Mean35116.338
Median Absolute Deviation (MAD)5442.5
Skewness3.7157755
Sum22966085
Variance4.5991692 × 109
MonotonicityNot monotonic
2024-01-28T18:40:13.492964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
486 3
 
0.5%
309 3
 
0.5%
28660 3
 
0.5%
946 2
 
0.3%
712 2
 
0.3%
595 2
 
0.3%
82 2
 
0.3%
561 2
 
0.3%
42026 2
 
0.3%
616 2
 
0.3%
Other values (618) 631
96.5%
ValueCountFrequency (%)
0 1
0.2%
10 1
0.2%
15 2
0.3%
45 1
0.2%
56 1
0.2%
63 1
0.2%
68 1
0.2%
80 1
0.2%
82 2
0.3%
83 1
0.2%
ValueCountFrequency (%)
539068 1
0.2%
531606 1
0.2%
479861 1
0.2%
454650 1
0.2%
437309 1
0.2%
391585 1
0.2%
361521 1
0.2%
334557 1
0.2%
292643 1
0.2%
284280 1
0.2%

주용도
Categorical

Distinct19
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
제2종근린생활시설
158 
주거
111 
업무시설
101 
제1종근린생활시설
96 
공동주택
64 
Other values (14)
124 

Length

Max length9
Median length7
Mean length5.6957187
Min length2

Unique

Unique5 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
제2종근린생활시설 158
24.2%
주거 111
17.0%
업무시설 101
15.4%
제1종근린생활시설 96
14.7%
공동주택 64
9.8%
판매시설 57
 
8.7%
교육연구시설 22
 
3.4%
노유자시설 17
 
2.6%
공장 9
 
1.4%
숙박시설 5
 
0.8%
Other values (9) 14
 
2.1%

Length

2024-01-28T18:40:13.595746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종근린생활시설 158
24.2%
주거 111
17.0%
업무시설 101
15.4%
제1종근린생활시설 96
14.7%
공동주택 64
9.8%
판매시설 57
 
8.7%
교육연구시설 22
 
3.4%
노유자시설 17
 
2.6%
공장 9
 
1.4%
숙박시설 5
 
0.8%
Other values (9) 14
 
2.1%

세대수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct175
Distinct (%)26.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182.42661
Minimum0
Maximum3100
Zeros463
Zeros (%)70.8%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-01-28T18:40:13.964011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3100.75
95-th percentile1041.05
Maximum3100
Range3100
Interquartile range (IQR)100.75

Descriptive statistics

Standard deviation408.82131
Coefficient of variation (CV)2.241018
Kurtosis11.686404
Mean182.42661
Median Absolute Deviation (MAD)0
Skewness3.0843661
Sum119307
Variance167134.86
MonotonicityNot monotonic
2024-01-28T18:40:14.063519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 463
70.8%
300 4
 
0.6%
24 3
 
0.5%
390 3
 
0.5%
420 2
 
0.3%
540 2
 
0.3%
504 2
 
0.3%
1180 2
 
0.3%
1 2
 
0.3%
1080 2
 
0.3%
Other values (165) 169
 
25.8%
ValueCountFrequency (%)
0 463
70.8%
1 2
 
0.3%
3 1
 
0.2%
4 1
 
0.2%
9 1
 
0.2%
12 1
 
0.2%
17 1
 
0.2%
18 1
 
0.2%
24 3
 
0.5%
27 1
 
0.2%
ValueCountFrequency (%)
3100 1
0.2%
2708 1
0.2%
2610 1
0.2%
2230 1
0.2%
2100 1
0.2%
2044 1
0.2%
1834 1
0.2%
1820 1
0.2%
1776 1
0.2%
1703 1
0.2%

가구수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct110
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93.753823
Minimum0
Maximum2044
Zeros530
Zeros (%)81.0%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-01-28T18:40:14.169908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile707
Maximum2044
Range2044
Interquartile range (IQR)0

Descriptive statistics

Standard deviation271.56243
Coefficient of variation (CV)2.8965478
Kurtosis13.918915
Mean93.753823
Median Absolute Deviation (MAD)0
Skewness3.5826106
Sum61315
Variance73746.152
MonotonicityNot monotonic
2024-01-28T18:40:14.280329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 530
81.0%
300 4
 
0.6%
390 3
 
0.5%
6 3
 
0.5%
1080 2
 
0.3%
40 2
 
0.3%
1180 2
 
0.3%
420 2
 
0.3%
1200 2
 
0.3%
45 2
 
0.3%
Other values (100) 102
 
15.6%
ValueCountFrequency (%)
0 530
81.0%
1 2
 
0.3%
2 1
 
0.2%
5 1
 
0.2%
6 3
 
0.5%
8 1
 
0.2%
10 1
 
0.2%
12 1
 
0.2%
24 1
 
0.2%
30 1
 
0.2%
ValueCountFrequency (%)
2044 1
0.2%
1776 1
0.2%
1654 1
0.2%
1440 1
0.2%
1350 1
0.2%
1304 1
0.2%
1300 1
0.2%
1200 2
0.3%
1180 2
0.3%
1170 1
0.2%

호수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct106
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95.200306
Minimum0
Maximum2044
Zeros537
Zeros (%)82.1%
Negative0
Negative (%)0.0%
Memory size5.9 KiB
2024-01-28T18:40:14.405911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile707
Maximum2044
Range2044
Interquartile range (IQR)0

Descriptive statistics

Standard deviation271.80203
Coefficient of variation (CV)2.8550542
Kurtosis13.784105
Mean95.200306
Median Absolute Deviation (MAD)0
Skewness3.5589273
Sum62261
Variance73876.344
MonotonicityNot monotonic
2024-01-28T18:40:14.518860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 537
82.1%
300 4
 
0.6%
390 3
 
0.5%
1180 2
 
0.3%
420 2
 
0.3%
45 2
 
0.3%
1200 2
 
0.3%
1080 2
 
0.3%
220 2
 
0.3%
320 2
 
0.3%
Other values (96) 96
 
14.7%
ValueCountFrequency (%)
0 537
82.1%
24 1
 
0.2%
30 1
 
0.2%
32 1
 
0.2%
40 1
 
0.2%
45 2
 
0.3%
50 1
 
0.2%
60 1
 
0.2%
62 1
 
0.2%
70 1
 
0.2%
ValueCountFrequency (%)
2044 1
0.2%
1776 1
0.2%
1654 1
0.2%
1440 1
0.2%
1350 1
0.2%
1304 1
0.2%
1300 1
0.2%
1200 2
0.3%
1180 2
0.3%
1170 1
0.2%

사용승인일
Date

Distinct356
Distinct (%)54.5%
Missing1
Missing (%)0.2%
Memory size5.2 KiB
Minimum1980-10-24 00:00:00
Maximum2023-04-10 00:00:00
2024-01-28T18:40:14.645025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:14.770594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.2 KiB
2023-05-22
654 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-22
2nd row2023-05-22
3rd row2023-05-22
4th row2023-05-22
5th row2023-05-22

Common Values

ValueCountFrequency (%)
2023-05-22 654
100.0%

Length

2024-01-28T18:40:14.878332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T18:40:14.951790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-22 654
100.0%

Interactions

2024-01-28T18:40:11.397033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:09.694669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.131938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.537049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.980595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:11.474449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:09.769851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.213041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.618194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:11.078733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:11.550513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:09.857450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.288541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.720811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:11.158950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:11.622167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:09.940440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.364546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.804491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:11.237132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:11.700176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.034824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.450336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:10.888470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-28T18:40:11.315482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T18:40:14.998448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번연면적(제곱미터)주용도세대수가구수호수
순번1.0000.6200.7990.6810.6860.678
연면적(제곱미터)0.6201.0000.5270.9470.6380.638
주용도0.7990.5271.0000.5680.5490.538
세대수0.6810.9470.5681.0000.9200.919
가구수0.6860.6380.5490.9201.0001.000
호수0.6780.6380.5380.9191.0001.000
2024-01-28T18:40:15.090027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번연면적(제곱미터)세대수가구수호수주용도
순번1.000-0.057-0.146-0.627-0.6020.461
연면적(제곱미터)-0.0571.0000.6770.3770.4270.230
세대수-0.1460.6771.0000.6430.6630.255
가구수-0.6270.3770.6431.0000.9310.243
호수-0.6020.4270.6630.9311.0000.237
주용도0.4610.2300.2550.2430.2371.000

Missing values

2024-01-28T18:40:11.802948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T18:40:11.920528image/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.
2024-01-28T18:40:12.006572image/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

순번소재지 주소건물명연면적(제곱미터)주용도세대수가구수호수사용승인일데이터기준일
01인천광역시 연수구 앵고개로 206번길 10 태평1차아파트태평1차아파트27375주거1921921921992-12-012023-05-22
12인천광역시 연수구 먼우금로 83번길 49 대림3차아파트대림3차아파트33519주거4084084081993-07-102023-05-22
23인천광역시 연수구 먼우금로 161번길 12 롯데아파트롯데아파트47271주거3203203201993-08-302023-05-22
34인천광역시 연수구 동곡재로 117번길 22 연수3차대우아파트대우3차아파트83287주거3443443441993-12-112023-05-22
45인천광역시 연수구 먼우금로 149 풍림연수3차아파트풍림3차아파트46453주거4404404401993-12-172023-05-22
56인천광역시 연수구 먼우금로 83번길 12 건영아파트건영아파트361521주거9709709701994-04-272023-05-22
67인천광역시 연수구 먼우금로 123 동춘마을아파트동춘마을아파트73481주거9309309301994-07-132023-05-22
78인천광역시 연수구 앵고개로 205번길 41 하나아파트하나2차아파트36272주거2642642641994-09-292023-05-22
89인천광역시 연수구 청능대로 38 태평2차아파트태평2차아파트23414주거1981981981995-11-222023-05-22
910인천광역시 연수구 먼우금로 141번길 62 조흥아파트조흥아파트13322주거9797971997-02-202023-05-22
순번소재지 주소건물명연면적(제곱미터)주용도세대수가구수호수사용승인일데이터기준일
644645인천광역시 연수구 송도동 15-10송도더프라우3단지65439공동주택180002012-07-272023-05-22
645646인천광역시 연수구 송도동 92더샵송도센트럴파크396571공동주택351002022-12-302023-05-22
646647인천광역시 연수구 송도동 92더샵송도센트럴파크38646판매시설00622022-12-302023-05-22
647648인천광역시 연수구 송도동 92더샵송도센트럴파크35710판매시설00702022-12-302023-05-22
648649인천광역시 연수구 송도동 312-1, 312-4호반써밋송도454650공동주택1820002023-02-142023-05-22
649650인천광역시 연수구 송도동 312-1, 312-4호반써밋송도32320업무시설002752023-02-142023-05-22
650651인천광역시 연수구 송도동 312-1, 312-4호반써밋송도37355업무시설003202023-02-142023-05-22
651652인천광역시 연수구 송도동 312-1, 312-4호반써밋송도30672업무시설002562023-02-142023-05-22
652653인천광역시 연수구 송도동 312-1, 312-4호반써밋송도8346판매시설001252023-02-142023-05-22
653654인천광역시 연수구 송도동 105-2더샵송도센터니얼59432공동주택342002023-04-102023-05-22