Overview

Dataset statistics

Number of variables12
Number of observations341
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory33.1 KiB
Average record size in memory99.4 B

Variable types

Numeric3
Text4
Categorical3
DateTime1
Boolean1

Dataset

Description대구광역시 수성구 관내 공동주택 현황에 관한 데이터로 아파트명, 지번주소, 도로명주소, 행정동, 동수, 층수, 세대수, 준공일 등의 항목을 제공합니다.
Author대구광역시 수성구
URLhttps://www.data.go.kr/data/15038448/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 동수 and 2 other fieldsHigh correlation
동수 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
세대수 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
층수 is highly overall correlated with 의무관리여부High correlation
의무관리여부 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:12:42.775447
Analysis finished2023-12-12 05:12:44.753301
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171
Minimum1
Maximum341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T14:12:44.847193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile18
Q186
median171
Q3256
95-th percentile324
Maximum341
Range340
Interquartile range (IQR)170

Descriptive statistics

Standard deviation98.582453
Coefficient of variation (CV)0.57650557
Kurtosis-1.2
Mean171
Median Absolute Deviation (MAD)85
Skewness0
Sum58311
Variance9718.5
MonotonicityStrictly increasing
2023-12-12T14:12:45.043969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.3%
226 1
 
0.3%
234 1
 
0.3%
233 1
 
0.3%
232 1
 
0.3%
231 1
 
0.3%
230 1
 
0.3%
229 1
 
0.3%
228 1
 
0.3%
227 1
 
0.3%
Other values (331) 331
97.1%
ValueCountFrequency (%)
1 1
0.3%
2 1
0.3%
3 1
0.3%
4 1
0.3%
5 1
0.3%
6 1
0.3%
7 1
0.3%
8 1
0.3%
9 1
0.3%
10 1
0.3%
ValueCountFrequency (%)
341 1
0.3%
340 1
0.3%
339 1
0.3%
338 1
0.3%
337 1
0.3%
336 1
0.3%
335 1
0.3%
334 1
0.3%
333 1
0.3%
332 1
0.3%

아파트명
Text

Distinct338
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T14:12:45.633840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length7.5982405
Min length4

Characters and Unicode

Total characters2591
Distinct characters266
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)98.2%

Sample

1st row캐슬골드파크
2nd row용지아파트(범물4단지)
3rd row시지2차사월보성타운
4th row두산위브더제니스
5th row수성동일하이빌레이크시티
ValueCountFrequency (%)
범어 4
 
1.1%
삼성맨션 2
 
0.6%
한도맨션 2
 
0.6%
수성롯데캐슬 2
 
0.6%
경북아파트 2
 
0.6%
우방금탑맨션 1
 
0.3%
캐슬골드파크 1
 
0.3%
매호화성파크드림 1
 
0.3%
청원맨션 1
 
0.3%
신매효성백년가약(靑 1
 
0.3%
Other values (335) 335
95.2%
2023-12-12T14:12:46.080249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
성 110
 
4.2%
지 90
 
3.5%
파 69
 
2.7%
아 62
 
2.4%
트 61
 
2.4%
이 59
 
2.3%
범 58
 
2.2%
운 55
 
2.1%
타 54
 
2.1%
수 53
 
2.0%
Other values (256) 1920
74.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2381
91.9%
Decimal Number 102
 
3.9%
Open Punctuation 34
 
1.3%
Close Punctuation 33
 
1.3%
Uppercase Letter 17
 
0.7%
Space Separator 11
 
0.4%
Lowercase Letter 6
 
0.2%
Dash Punctuation 3
 
0.1%
Other Punctuation 3
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 110
 
4.6%
지 90
 
3.8%
파 69
 
2.9%
아 62
 
2.6%
트 61
 
2.6%
이 59
 
2.5%
범 58
 
2.4%
운 55
 
2.3%
타 54
 
2.3%
수 53
 
2.2%
Other values (231) 1710
71.8%
Uppercase Letter
ValueCountFrequency (%)
S 6
35.3%
K 4
23.5%
A 2
 
11.8%
O 1
 
5.9%
I 1
 
5.9%
X 1
 
5.9%
T 1
 
5.9%
N 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
1 36
35.3%
2 24
23.5%
3 17
16.7%
0 16
15.7%
5 5
 
4.9%
4 3
 
2.9%
6 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
50.0%
b 2
33.3%
a 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
. 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2379
91.8%
Common 187
 
7.2%
Latin 23
 
0.9%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 110
 
4.6%
지 90
 
3.8%
파 69
 
2.9%
아 62
 
2.6%
트 61
 
2.6%
이 59
 
2.5%
범 58
 
2.4%
운 55
 
2.3%
타 54
 
2.3%
수 53
 
2.2%
Other values (229) 1708
71.8%
Common
ValueCountFrequency (%)
1 36
19.3%
( 34
18.2%
) 33
17.6%
2 24
12.8%
3 17
9.1%
0 16
8.6%
11
 
5.9%
5 5
 
2.7%
4 3
 
1.6%
- 3
 
1.6%
Other values (4) 5
 
2.7%
Latin
ValueCountFrequency (%)
S 6
26.1%
K 4
17.4%
e 3
13.0%
A 2
 
8.7%
b 2
 
8.7%
O 1
 
4.3%
I 1
 
4.3%
a 1
 
4.3%
X 1
 
4.3%
T 1
 
4.3%
Han
ValueCountFrequency (%)
靑 1
50.0%
宮 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2379
91.8%
ASCII 210
 
8.1%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
성 110
 
4.6%
지 90
 
3.8%
파 69
 
2.9%
아 62
 
2.6%
트 61
 
2.6%
이 59
 
2.5%
범 58
 
2.4%
운 55
 
2.3%
타 54
 
2.3%
수 53
 
2.2%
Other values (229) 1708
71.8%
ASCII
ValueCountFrequency (%)
1 36
17.1%
( 34
16.2%
) 33
15.7%
2 24
11.4%
3 17
8.1%
0 16
7.6%
11
 
5.2%
S 6
 
2.9%
5 5
 
2.4%
K 4
 
1.9%
Other values (15) 24
11.4%
CJK
ValueCountFrequency (%)
靑 1
50.0%
宮 1
50.0%

지번주소
Text

Distinct337
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T14:12:46.598819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length8.7536657
Min length5

Characters and Unicode

Total characters2985
Distinct characters42
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique333 ?
Unique (%)97.7%

Sample

1st row황금1동365
2nd row범물1동 1287
3rd row사월동 464
4th row범어동 179
5th row상동 555
ValueCountFrequency (%)
신매동 24
 
3.7%
범어동 20
 
3.1%
매호동 19
 
2.9%
파동 18
 
2.8%
수성1가 17
 
2.6%
시지동 16
 
2.4%
범어4동 15
 
2.3%
지산2동 14
 
2.1%
수성4가 14
 
2.1%
만촌3동 14
 
2.1%
Other values (357) 483
73.9%
2023-12-12T14:12:47.300272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 335
 
11.2%
315
 
10.6%
동 303
 
10.2%
2 204
 
6.8%
- 180
 
6.0%
3 165
 
5.5%
0 147
 
4.9%
4 138
 
4.6%
7 108
 
3.6%
5 108
 
3.6%
Other values (32) 982
32.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1490
49.9%
Other Letter 997
33.4%
Space Separator 315
 
10.6%
Dash Punctuation 180
 
6.0%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 303
30.4%
범 85
 
8.5%
어 66
 
6.6%
지 49
 
4.9%
수 48
 
4.8%
매 47
 
4.7%
가 44
 
4.4%
성 44
 
4.4%
산 38
 
3.8%
만 37
 
3.7%
Other values (18) 236
23.7%
Decimal Number
ValueCountFrequency (%)
1 335
22.5%
2 204
13.7%
3 165
11.1%
0 147
9.9%
4 138
9.3%
7 108
 
7.2%
5 108
 
7.2%
6 106
 
7.1%
9 94
 
6.3%
8 85
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
315
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1988
66.6%
Hangul 997
33.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 303
30.4%
범 85
 
8.5%
어 66
 
6.6%
지 49
 
4.9%
수 48
 
4.8%
매 47
 
4.7%
가 44
 
4.4%
성 44
 
4.4%
산 38
 
3.8%
만 37
 
3.7%
Other values (18) 236
23.7%
Common
ValueCountFrequency (%)
1 335
16.9%
315
15.8%
2 204
10.3%
- 180
9.1%
3 165
8.3%
0 147
7.4%
4 138
6.9%
7 108
 
5.4%
5 108
 
5.4%
6 106
 
5.3%
Other values (4) 182
9.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1988
66.6%
Hangul 997
33.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 335
16.9%
315
15.8%
2 204
10.3%
- 180
9.1%
3 165
8.3%
0 147
7.4%
4 138
6.9%
7 108
 
5.4%
5 108
 
5.4%
6 106
 
5.3%
Other values (4) 182
9.2%
Hangul
ValueCountFrequency (%)
동 303
30.4%
범 85
 
8.5%
어 66
 
6.6%
지 49
 
4.9%
수 48
 
4.8%
매 47
 
4.7%
가 44
 
4.4%
성 44
 
4.4%
산 38
 
3.8%
만 37
 
3.7%
Other values (18) 236
23.7%

도로명주소
Text

Distinct338
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T14:12:47.727307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length8.4897361
Min length5

Characters and Unicode

Total characters2895
Distinct characters80
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)98.2%

Sample

1st row청수로 213
2nd row범안로 81
3rd row욱수천로 133
4th row달구벌대로 2435
5th row수성로 71
ValueCountFrequency (%)
달구벌대로 25
 
3.8%
동대구로 14
 
2.1%
청호로 14
 
2.1%
용학로 10
 
1.5%
파동로 9
 
1.4%
신천동로 9
 
1.4%
수성로 8
 
1.2%
범어로 7
 
1.1%
천을로 7
 
1.1%
들안로 6
 
0.9%
Other values (339) 544
83.3%
2023-12-12T14:12:48.283366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 339
 
11.7%
316
 
10.9%
1 184
 
6.4%
2 179
 
6.2%
3 165
 
5.7%
길 146
 
5.0%
4 119
 
4.1%
0 112
 
3.9%
6 108
 
3.7%
5 102
 
3.5%
Other values (70) 1125
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1382
47.7%
Decimal Number 1173
40.5%
Space Separator 316
 
10.9%
Dash Punctuation 17
 
0.6%
Other Punctuation 3
 
0.1%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 339
24.5%
길 146
 
10.6%
구 87
 
6.3%
대 87
 
6.3%
벌 64
 
4.6%
달 64
 
4.6%
동 61
 
4.4%
천 42
 
3.0%
청 40
 
2.9%
범 38
 
2.7%
Other values (55) 414
30.0%
Decimal Number
ValueCountFrequency (%)
1 184
15.7%
2 179
15.3%
3 165
14.1%
4 119
10.1%
0 112
9.5%
6 108
9.2%
5 102
8.7%
7 78
6.6%
9 68
 
5.8%
8 58
 
4.9%
Space Separator
ValueCountFrequency (%)
316
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1513
52.3%
Hangul 1382
47.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 339
24.5%
길 146
 
10.6%
구 87
 
6.3%
대 87
 
6.3%
벌 64
 
4.6%
달 64
 
4.6%
동 61
 
4.4%
천 42
 
3.0%
청 40
 
2.9%
범 38
 
2.7%
Other values (55) 414
30.0%
Common
ValueCountFrequency (%)
316
20.9%
1 184
12.2%
2 179
11.8%
3 165
10.9%
4 119
 
7.9%
0 112
 
7.4%
6 108
 
7.1%
5 102
 
6.7%
7 78
 
5.2%
9 68
 
4.5%
Other values (5) 82
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1513
52.3%
Hangul 1382
47.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 339
24.5%
길 146
 
10.6%
구 87
 
6.3%
대 87
 
6.3%
벌 64
 
4.6%
달 64
 
4.6%
동 61
 
4.4%
천 42
 
3.0%
청 40
 
2.9%
범 38
 
2.7%
Other values (55) 414
30.0%
ASCII
ValueCountFrequency (%)
316
20.9%
1 184
12.2%
2 179
11.8%
3 165
10.9%
4 119
 
7.9%
0 112
 
7.4%
6 108
 
7.1%
5 102
 
6.7%
7 78
 
5.2%
9 68
 
4.5%
Other values (5) 82
 
5.4%

행정동
Categorical

Distinct28
Distinct (%)8.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
고산3동
33 
범어4동
27 
고산1동
25 
고산2동
24 
만촌3동
22 
Other values (23)
210 

Length

Max length6
Median length4
Mean length3.829912
Min length2

Unique

Unique4 ?
Unique (%)1.2%

Sample

1st row황금1동
2nd row범물1동
3rd row고산3동
4th row범어2동
5th row상동

Common Values

ValueCountFrequency (%)
고산3동 33
 
9.7%
범어4동 27
 
7.9%
고산1동 25
 
7.3%
고산2동 24
 
7.0%
만촌3동 22
 
6.5%
파동 19
 
5.6%
범어1동 19
 
5.6%
수성1가 18
 
5.3%
범어3동 17
 
5.0%
지산2동 16
 
4.7%
Other values (18) 121
35.5%

Length

2023-12-12T14:12:48.474004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고산3동 33
 
9.7%
범어4동 27
 
7.9%
고산1동 25
 
7.3%
고산2동 24
 
7.0%
만촌3동 22
 
6.5%
파동 19
 
5.6%
범어1동 19
 
5.6%
수성1가 18
 
5.3%
범어3동 17
 
5.0%
지산2동 16
 
4.7%
Other values (18) 121
35.5%

동수
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9002933
Minimum1
Maximum67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T14:12:48.607381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q35
95-th percentile9
Maximum67
Range66
Interquartile range (IQR)4

Descriptive statistics

Standard deviation4.5083615
Coefficient of variation (CV)1.1559032
Kurtosis112.85832
Mean3.9002933
Median Absolute Deviation (MAD)2
Skewness8.4701242
Sum1330
Variance20.325323
MonotonicityNot monotonic
2023-12-12T14:12:48.723500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1 107
31.4%
4 42
 
12.3%
2 42
 
12.3%
5 37
 
10.9%
3 35
 
10.3%
6 32
 
9.4%
8 11
 
3.2%
7 11
 
3.2%
9 10
 
2.9%
10 3
 
0.9%
Other values (7) 11
 
3.2%
ValueCountFrequency (%)
1 107
31.4%
2 42
 
12.3%
3 35
 
10.3%
4 42
 
12.3%
5 37
 
10.9%
6 32
 
9.4%
7 11
 
3.2%
8 11
 
3.2%
9 10
 
2.9%
10 3
 
0.9%
ValueCountFrequency (%)
67 1
 
0.3%
17 1
 
0.3%
16 1
 
0.3%
15 2
 
0.6%
14 2
 
0.6%
12 2
 
0.6%
11 2
 
0.6%
10 3
 
0.9%
9 10
2.9%
8 11
3.2%

층수
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
15
62 
20
41 
5
37 
10
22 
18
21 
Other values (36)
158 

Length

Max length6
Median length2
Mean length1.8181818
Min length1

Unique

Unique10 ?
Unique (%)2.9%

Sample

1st row25
2nd row15
3rd row20
4th row54
5th row15

Common Values

ValueCountFrequency (%)
15 62
18.2%
20 41
 
12.0%
5 37
 
10.9%
10 22
 
6.5%
18 21
 
6.2%
17 10
 
2.9%
12 10
 
2.9%
25 10
 
2.9%
22 10
 
2.9%
23 9
 
2.6%
Other values (31) 109
32.0%

Length

2023-12-12T14:12:48.857599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
15 62
18.2%
20 41
 
12.0%
5 37
 
10.9%
10 22
 
6.5%
18 21
 
6.2%
17 10
 
2.9%
12 10
 
2.9%
25 10
 
2.9%
22 10
 
2.9%
26 9
 
2.6%
Other values (31) 109
32.0%

세대수
Real number (ℝ)

HIGH CORRELATION 

Distinct248
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean332.22874
Minimum10
Maximum4256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.1 KiB
2023-12-12T14:12:49.028877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile18
Q192
median233
Q3455
95-th percentile885
Maximum4256
Range4246
Interquartile range (IQR)363

Descriptive statistics

Standard deviation378.57958
Coefficient of variation (CV)1.1395149
Kurtosis37.197277
Mean332.22874
Median Absolute Deviation (MAD)174
Skewness4.4702522
Sum113290
Variance143322.5
MonotonicityDecreasing
2023-12-12T14:12:49.155543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18 10
 
2.9%
19 6
 
1.8%
16 5
 
1.5%
17 5
 
1.5%
299 4
 
1.2%
40 4
 
1.2%
120 4
 
1.2%
80 3
 
0.9%
179 3
 
0.9%
260 3
 
0.9%
Other values (238) 294
86.2%
ValueCountFrequency (%)
10 1
 
0.3%
12 2
 
0.6%
13 1
 
0.3%
14 1
 
0.3%
15 2
 
0.6%
16 5
1.5%
17 5
1.5%
18 10
2.9%
19 6
1.8%
20 2
 
0.6%
ValueCountFrequency (%)
4256 1
0.3%
2646 1
0.3%
1498 1
0.3%
1494 1
0.3%
1411 1
0.3%
1224 1
0.3%
1200 1
0.3%
1095 1
0.3%
1076 1
0.3%
1032 1
0.3%

준공
Date

Distinct308
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
Minimum1973-10-18 00:00:00
Maximum2023-08-21 00:00:00
2023-12-12T14:12:49.269823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:49.414929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

의무관리여부
Boolean

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size473.0 B
True
209 
False
132 
ValueCountFrequency (%)
True 209
61.3%
False 132
38.7%
2023-12-12T14:12:49.526533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

전화번호
Text

Distinct294
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-12-12T14:12:49.750342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.296188
Min length7

Characters and Unicode

Total characters3852
Distinct characters18
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

Unique293 ?
Unique (%)85.9%

Sample

1st row053-766-1790
2nd row053-781-1952
3rd row053-792-2868
4th row053-759-6226
5th row053-761-5035
ValueCountFrequency (%)
개인정보 48
 
12.3%
포함 48
 
12.3%
053-751-3221 1
 
0.3%
053-756-2977 1
 
0.3%
053-744-1266 1
 
0.3%
053-744-2255 1
 
0.3%
053-764-3087 1
 
0.3%
053-945-4500 1
 
0.3%
053-741-1101 1
 
0.3%
053-794-8101 1
 
0.3%
Other values (285) 285
73.3%
2023-12-12T14:12:50.185099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 586
15.2%
5 528
13.7%
0 465
12.1%
3 460
11.9%
7 379
9.8%
1 206
 
5.3%
6 198
 
5.1%
4 197
 
5.1%
9 187
 
4.9%
2 158
 
4.1%
Other values (8) 488
12.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2930
76.1%
Dash Punctuation 586
 
15.2%
Other Letter 288
 
7.5%
Space Separator 48
 
1.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 528
18.0%
0 465
15.9%
3 460
15.7%
7 379
12.9%
1 206
 
7.0%
6 198
 
6.8%
4 197
 
6.7%
9 187
 
6.4%
2 158
 
5.4%
8 152
 
5.2%
Other Letter
ValueCountFrequency (%)
함 48
16.7%
인 48
16.7%
포 48
16.7%
보 48
16.7%
정 48
16.7%
개 48
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 586
100.0%
Space Separator
ValueCountFrequency (%)
48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3564
92.5%
Hangul 288
 
7.5%

Most frequent character per script

Common
ValueCountFrequency (%)
- 586
16.4%
5 528
14.8%
0 465
13.0%
3 460
12.9%
7 379
10.6%
1 206
 
5.8%
6 198
 
5.6%
4 197
 
5.5%
9 187
 
5.2%
2 158
 
4.4%
Other values (2) 200
 
5.6%
Hangul
ValueCountFrequency (%)
함 48
16.7%
인 48
16.7%
포 48
16.7%
보 48
16.7%
정 48
16.7%
개 48
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3564
92.5%
Hangul 288
 
7.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 586
16.4%
5 528
14.8%
0 465
13.0%
3 460
12.9%
7 379
10.6%
1 206
 
5.8%
6 198
 
5.6%
4 197
 
5.5%
9 187
 
5.2%
2 158
 
4.4%
Other values (2) 200
 
5.6%
Hangul
ValueCountFrequency (%)
함 48
16.7%
인 48
16.7%
포 48
16.7%
보 48
16.7%
정 48
16.7%
개 48
16.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.8 KiB
2023-09-15
341 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-15
2nd row2023-09-15
3rd row2023-09-15
4th row2023-09-15
5th row2023-09-15

Common Values

ValueCountFrequency (%)
2023-09-15 341
100.0%

Length

2023-12-12T14:12:50.360415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:12:50.505244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-15 341
100.0%

Interactions

2023-12-12T14:12:44.082273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:43.307245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:43.675226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:44.185881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:43.425728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:43.845778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:44.318686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:43.562130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:12:43.985626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:12:50.604409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동동수층수세대수의무관리여부
연번1.0000.4780.5630.6870.7410.984
행정동0.4781.0000.1970.7430.4010.328
동수0.5630.1971.0000.0000.8600.318
층수0.6870.7430.0001.0000.5040.788
세대수0.7410.4010.8600.5041.0000.603
의무관리여부0.9840.3280.3180.7880.6031.000
2023-12-12T14:12:50.725222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의무관리여부층수행정동
의무관리여부1.0000.6450.250
층수0.6451.0000.236
행정동0.2500.2361.000
2023-12-12T14:12:50.839894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번동수세대수행정동층수의무관리여부
연번1.000-0.850-1.0000.1830.2950.879
동수-0.8501.0000.8500.0900.0000.211
세대수-1.0000.8501.0000.1840.2290.436
행정동0.1830.0900.1841.0000.2360.250
층수0.2950.0000.2290.2361.0000.645
의무관리여부0.8790.2110.4360.2500.6451.000

Missing values

2023-12-12T14:12:44.473070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:12:44.684374image/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

연번아파트명지번주소도로명주소행정동동수층수세대수준공의무관리여부전화번호데이터기준일자
01캐슬골드파크황금1동365청수로 213황금1동672542562006-07-31Y053-766-17902023-09-15
12용지아파트(범물4단지)범물1동 1287범안로 81범물1동151526461992-07-30N053-781-19522023-09-15
23시지2차사월보성타운사월동 464욱수천로 133고산3동82014981996-09-07Y053-792-28682023-09-15
34두산위브더제니스범어동 179달구벌대로 2435범어2동95414942009-12-24Y053-759-62262023-09-15
45수성동일하이빌레이크시티상동 555수성로 71상동161514112009-04-30Y053-761-50352023-09-15
56만촌1차우방타운만촌3동 816교학로11길 46만촌3동141812241997-05-27Y053-753-58982023-09-15
67시지하나타운매호동 1331고산로 123고산3동81512001995-05-23Y053-793-61882023-09-15
78시지천마타운신매동 582신매로 71고산1동121510951994-05-27Y053-791-01312023-09-15
89지산5단지지산1동 1297용학로 325지산1동51510761991-11-15N053-783-83642023-09-15
910수성보성타운수성4가 1090-6수성로 412수성4가92010321996-05-25Y053-744-65772023-09-15
연번아파트명지번주소도로명주소행정동동수층수세대수준공의무관리여부전화번호데이터기준일자
331332다인주택사랑마을101황금동 703-4범어천로23-14황금2동18162003-10-02N개인정보 포함2023-09-15
332333사랑누리아파트지산동 529지범로27길25지산1동18162004-06-17N개인정보 포함2023-09-15
333334성창파크빌102황금동 408-6청호로57길89황금1동110162002-10-23N개인정보 포함2023-09-15
334335수성스위트빌수성동4가 1190-9신천동로88길26수성동4가16152002-07-03N개인정보 포함2023-09-15
335336힐탑빌라범어동63-121청호로92길 35범어4동14151995-11-13N개인정보 포함2023-09-15
336337지산파크뷰지산동 654-9지산로13길16지산1동18142003-03-08N개인정보 포함2023-09-15
337338매호미래하이츠102매호동 611-6천을로203고산3동18132002-08-30N개인정보 포함2023-09-15
338339아크로파트a.b동중동 415-17수성로35길23중동17122003-11-26N개인정보 포함2023-09-15
339340위너스타운지산동 651-2지산로11길20지산1동16122001-12-06N개인정보 포함2023-09-15
340341다한아파트노변동 317-4/317-17노변공원로67고산2동18102002-07-30N개인정보 포함2023-09-15