Overview

Dataset statistics

Number of variables12
Number of observations192
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.5 KiB
Average record size in memory98.7 B

Variable types

Text6
Numeric2
Categorical2
DateTime2

Dataset

Description송파구 공동주택현황으로 주택명, 소재지, 준공일자 등 정보제공
Author서울특별시 송파구
URLhttps://www.data.go.kr/data/15044851/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
우편번호 is highly overall correlated with 행정동High correlation
동수 is highly overall correlated with 행정동High correlation
행정동 is highly overall correlated with 우편번호 and 1 other fieldsHigh correlation
아파트명 has unique valuesUnique
지번주소 has unique valuesUnique
도로명주소(송파구) has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:10:50.035771
Analysis finished2023-12-12 06:10:51.331895
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T15:10:51.515823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length6.8489583
Min length2

Characters and Unicode

Total characters1315
Distinct characters219
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique192 ?
Unique (%)100.0%

Sample

1st row가락극동
2nd row가락금호
3rd row가락대림
4th row가락동부센트레빌
5th row가락삼익맨션
ValueCountFrequency (%)
송파파인타운 13
 
5.1%
1차 12
 
4.7%
2차 11
 
4.3%
가락현대 5
 
1.9%
3차 4
 
1.6%
한양 3
 
1.2%
거여현대 3
 
1.2%
문정푸르지오 3
 
1.2%
송파 3
 
1.2%
3단지 3
 
1.2%
Other values (180) 197
76.7%
2023-12-12T15:10:51.896339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
69
 
5.2%
파 65
 
4.9%
송 38
 
2.9%
지 37
 
2.8%
1 37
 
2.8%
차 36
 
2.7%
대 33
 
2.5%
동 29
 
2.2%
스 27
 
2.1%
단 26
 
2.0%
Other values (209) 918
69.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1075
81.7%
Decimal Number 103
 
7.8%
Space Separator 69
 
5.2%
Open Punctuation 19
 
1.4%
Close Punctuation 19
 
1.4%
Lowercase Letter 12
 
0.9%
Other Punctuation 9
 
0.7%
Uppercase Letter 6
 
0.5%
Dash Punctuation 2
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 65
 
6.0%
송 38
 
3.5%
지 37
 
3.4%
차 36
 
3.3%
대 33
 
3.1%
동 29
 
2.7%
스 27
 
2.5%
단 26
 
2.4%
현 26
 
2.4%
가 26
 
2.4%
Other values (178) 732
68.1%
Decimal Number
ValueCountFrequency (%)
1 37
35.9%
2 22
21.4%
3 13
 
12.6%
5 10
 
9.7%
0 8
 
7.8%
4 5
 
4.9%
6 4
 
3.9%
7 2
 
1.9%
8 1
 
1.0%
9 1
 
1.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
16.7%
i 2
16.7%
u 1
8.3%
p 1
8.3%
s 1
8.3%
n 1
8.3%
t 1
8.3%
w 1
8.3%
v 1
8.3%
k 1
8.3%
Uppercase Letter
ValueCountFrequency (%)
K 2
33.3%
C 2
33.3%
N 1
16.7%
S 1
16.7%
Other Punctuation
ValueCountFrequency (%)
, 8
88.9%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1075
81.7%
Common 222
 
16.9%
Latin 18
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 65
 
6.0%
송 38
 
3.5%
지 37
 
3.4%
차 36
 
3.3%
대 33
 
3.1%
동 29
 
2.7%
스 27
 
2.5%
단 26
 
2.4%
현 26
 
2.4%
가 26
 
2.4%
Other values (178) 732
68.1%
Common
ValueCountFrequency (%)
69
31.1%
1 37
16.7%
2 22
 
9.9%
( 19
 
8.6%
) 19
 
8.6%
3 13
 
5.9%
5 10
 
4.5%
, 8
 
3.6%
0 8
 
3.6%
4 5
 
2.3%
Other values (7) 12
 
5.4%
Latin
ValueCountFrequency (%)
e 2
11.1%
i 2
11.1%
K 2
11.1%
C 2
11.1%
N 1
 
5.6%
u 1
 
5.6%
p 1
 
5.6%
s 1
 
5.6%
n 1
 
5.6%
t 1
 
5.6%
Other values (4) 4
22.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1075
81.7%
ASCII 240
 
18.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
69
28.7%
1 37
15.4%
2 22
 
9.2%
( 19
 
7.9%
) 19
 
7.9%
3 13
 
5.4%
5 10
 
4.2%
, 8
 
3.3%
0 8
 
3.3%
4 5
 
2.1%
Other values (21) 30
12.5%
Hangul
ValueCountFrequency (%)
파 65
 
6.0%
송 38
 
3.5%
지 37
 
3.4%
차 36
 
3.3%
대 33
 
3.1%
동 29
 
2.7%
스 27
 
2.5%
단 26
 
2.4%
현 26
 
2.4%
가 26
 
2.4%
Other values (178) 732
68.1%

전화번호
Text

Distinct183
Distinct (%)95.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T15:10:52.113730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length10.807292
Min length1

Characters and Unicode

Total characters2075
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique180 ?
Unique (%)93.8%

Sample

1st row02-403-7885
2nd row02-407-3582
3rd row02-403-2259
4th row02-2043-3162
5th row02-415-6401
ValueCountFrequency (%)
무 6
 
3.1%
02-2202-2092 4
 
2.1%
02-408-9527 2
 
1.0%
02-448-9717 1
 
0.5%
02-477-9989 1
 
0.5%
02-471-8037 1
 
0.5%
02-478-3712 1
 
0.5%
02-431-7464 1
 
0.5%
02-431-5557 1
 
0.5%
02-407-2831 1
 
0.5%
Other values (173) 173
90.1%
2023-12-12T15:10:52.475721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 410
19.8%
- 372
17.9%
2 310
14.9%
4 278
13.4%
3 125
 
6.0%
1 125
 
6.0%
8 104
 
5.0%
7 99
 
4.8%
6 87
 
4.2%
9 86
 
4.1%
Other values (2) 79
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1697
81.8%
Dash Punctuation 372
 
17.9%
Other Letter 6
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 410
24.2%
2 310
18.3%
4 278
16.4%
3 125
 
7.4%
1 125
 
7.4%
8 104
 
6.1%
7 99
 
5.8%
6 87
 
5.1%
9 86
 
5.1%
5 73
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 372
100.0%
Other Letter
ValueCountFrequency (%)
무 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2069
99.7%
Hangul 6
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 410
19.8%
- 372
18.0%
2 310
15.0%
4 278
13.4%
3 125
 
6.0%
1 125
 
6.0%
8 104
 
5.0%
7 99
 
4.8%
6 87
 
4.2%
9 86
 
4.2%
Hangul
ValueCountFrequency (%)
무 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2069
99.7%
Hangul 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 410
19.8%
- 372
18.0%
2 310
15.0%
4 278
13.4%
3 125
 
6.0%
1 125
 
6.0%
8 104
 
5.0%
7 99
 
4.8%
6 87
 
4.2%
9 86
 
4.2%
Hangul
ValueCountFrequency (%)
무 6
100.0%

FAX
Text

Distinct168
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T15:10:52.709159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length11
Mean length10.005208
Min length1

Characters and Unicode

Total characters1921
Distinct characters13
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

Unique166 ?
Unique (%)86.5%

Sample

1st row02-448-6471
2nd row02-443-6475
3rd row02-409-7580
4th row02-2043-3163
5th row02-6413-6400
ValueCountFrequency (%)
무 24
 
12.5%
02-408-9529 2
 
1.0%
02-408-8736 1
 
0.5%
02-471-8037 1
 
0.5%
02-448-6471 1
 
0.5%
02-477-9987 1
 
0.5%
02-414-4056 1
 
0.5%
02-414-3783 1
 
0.5%
02-420-8288 1
 
0.5%
02-423-2937 1
 
0.5%
Other values (158) 158
82.3%
2023-12-12T15:10:53.132920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 341
17.8%
- 336
17.5%
2 272
14.2%
4 258
13.4%
1 131
 
6.8%
3 104
 
5.4%
8 98
 
5.1%
7 93
 
4.8%
9 86
 
4.5%
6 84
 
4.4%
Other values (3) 118
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1541
80.2%
Dash Punctuation 336
 
17.5%
Other Letter 24
 
1.2%
Space Separator 20
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 341
22.1%
2 272
17.7%
4 258
16.7%
1 131
 
8.5%
3 104
 
6.7%
8 98
 
6.4%
7 93
 
6.0%
9 86
 
5.6%
6 84
 
5.5%
5 74
 
4.8%
Dash Punctuation
ValueCountFrequency (%)
- 336
100.0%
Other Letter
ValueCountFrequency (%)
무 24
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1897
98.8%
Hangul 24
 
1.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 341
18.0%
- 336
17.7%
2 272
14.3%
4 258
13.6%
1 131
 
6.9%
3 104
 
5.5%
8 98
 
5.2%
7 93
 
4.9%
9 86
 
4.5%
6 84
 
4.4%
Other values (2) 94
 
5.0%
Hangul
ValueCountFrequency (%)
무 24
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1897
98.8%
Hangul 24
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 341
18.0%
- 336
17.7%
2 272
14.3%
4 258
13.6%
1 131
 
6.9%
3 104
 
5.5%
8 98
 
5.2%
7 93
 
4.9%
9 86
 
4.5%
6 84
 
4.4%
Other values (2) 94
 
5.0%
Hangul
ValueCountFrequency (%)
무 24
100.0%

지번주소
Text

UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T15:10:53.574453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length17
Mean length17.322917
Min length15

Characters and Unicode

Total characters3326
Distinct characters47
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

Unique192 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 가락동 192
2nd row서울특별시 송파구 가락동 95-1
3rd row서울특별시 송파구 가락동 70-19
4th row서울특별시 송파구 가락동 95
5th row서울특별시 송파구 송파동 166
ValueCountFrequency (%)
서울특별시 192
25.1%
송파구 192
25.1%
가락동 27
 
3.5%
풍납동 26
 
3.4%
장지동 22
 
2.9%
오금동 17
 
2.2%
거여동 17
 
2.2%
마천동 16
 
2.1%
문정동 15
 
2.0%
송파동 14
 
1.8%
Other values (189) 227
29.7%
2023-12-12T15:10:54.122502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
576
17.3%
송 206
 
6.2%
파 206
 
6.2%
서 192
 
5.8%
동 192
 
5.8%
특 192
 
5.8%
별 192
 
5.8%
시 192
 
5.8%
구 192
 
5.8%
울 192
 
5.8%
Other values (37) 994
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2113
63.5%
Decimal Number 581
 
17.5%
Space Separator 576
 
17.3%
Dash Punctuation 53
 
1.6%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 206
9.7%
파 206
9.7%
서 192
9.1%
동 192
9.1%
특 192
9.1%
별 192
9.1%
시 192
9.1%
구 192
9.1%
울 192
9.1%
가 29
 
1.4%
Other values (23) 328
15.5%
Decimal Number
ValueCountFrequency (%)
1 137
23.6%
2 71
12.2%
5 60
10.3%
4 50
 
8.6%
8 49
 
8.4%
3 49
 
8.4%
9 46
 
7.9%
6 44
 
7.6%
7 44
 
7.6%
0 31
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
576
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2113
63.5%
Common 1213
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 206
9.7%
파 206
9.7%
서 192
9.1%
동 192
9.1%
특 192
9.1%
별 192
9.1%
시 192
9.1%
구 192
9.1%
울 192
9.1%
가 29
 
1.4%
Other values (23) 328
15.5%
Common
ValueCountFrequency (%)
576
47.5%
1 137
 
11.3%
2 71
 
5.9%
5 60
 
4.9%
- 53
 
4.4%
4 50
 
4.1%
8 49
 
4.0%
3 49
 
4.0%
9 46
 
3.8%
6 44
 
3.6%
Other values (4) 78
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2113
63.5%
ASCII 1213
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
576
47.5%
1 137
 
11.3%
2 71
 
5.9%
5 60
 
4.9%
- 53
 
4.4%
4 50
 
4.1%
8 49
 
4.0%
3 49
 
4.0%
9 46
 
3.8%
6 44
 
3.6%
Other values (4) 78
 
6.4%
Hangul
ValueCountFrequency (%)
송 206
9.7%
파 206
9.7%
서 192
9.1%
동 192
9.1%
특 192
9.1%
별 192
9.1%
시 192
9.1%
구 192
9.1%
울 192
9.1%
가 29
 
1.4%
Other values (23) 328
15.5%

도로명주소(송파구)
Text

UNIQUE 

Distinct192
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T15:10:54.443785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length18.578125
Min length16

Characters and Unicode

Total characters3567
Distinct characters73
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

Unique192 ?
Unique (%)100.0%

Sample

1st row서울특별시 송파구 동남로18길 9
2nd row서울특별시 송파구 송파대로32길 15
3rd row서울특별시 송파구 송이로 88
4th row서울특별시 송파구 송파대로32길 33
5th row서울특별시 송파구 오금로32길 5
ValueCountFrequency (%)
서울특별시 192
25.0%
송파구 192
25.0%
위례광장로 9
 
1.2%
성내천로 7
 
0.9%
10 7
 
0.9%
8 7
 
0.9%
올림픽로 6
 
0.8%
동남로 5
 
0.7%
송파대로8길 5
 
0.7%
37 5
 
0.7%
Other values (216) 332
43.3%
2023-12-12T15:10:54.965948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
580
16.3%
송 228
 
6.4%
파 213
 
6.0%
서 192
 
5.4%
특 192
 
5.4%
별 192
 
5.4%
시 192
 
5.4%
구 192
 
5.4%
울 192
 
5.4%
로 192
 
5.4%
Other values (63) 1202
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2341
65.6%
Decimal Number 636
 
17.8%
Space Separator 580
 
16.3%
Dash Punctuation 10
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
송 228
9.7%
파 213
9.1%
서 192
8.2%
특 192
8.2%
별 192
8.2%
시 192
8.2%
구 192
8.2%
울 192
8.2%
로 192
8.2%
길 117
 
5.0%
Other values (51) 439
18.8%
Decimal Number
ValueCountFrequency (%)
1 127
20.0%
2 94
14.8%
3 87
13.7%
4 67
10.5%
5 64
10.1%
8 54
8.5%
6 41
 
6.4%
7 41
 
6.4%
0 32
 
5.0%
9 29
 
4.6%
Space Separator
ValueCountFrequency (%)
580
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2341
65.6%
Common 1226
34.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
송 228
9.7%
파 213
9.1%
서 192
8.2%
특 192
8.2%
별 192
8.2%
시 192
8.2%
구 192
8.2%
울 192
8.2%
로 192
8.2%
길 117
 
5.0%
Other values (51) 439
18.8%
Common
ValueCountFrequency (%)
580
47.3%
1 127
 
10.4%
2 94
 
7.7%
3 87
 
7.1%
4 67
 
5.5%
5 64
 
5.2%
8 54
 
4.4%
6 41
 
3.3%
7 41
 
3.3%
0 32
 
2.6%
Other values (2) 39
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2341
65.6%
ASCII 1226
34.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
580
47.3%
1 127
 
10.4%
2 94
 
7.7%
3 87
 
7.1%
4 67
 
5.5%
5 64
 
5.2%
8 54
 
4.4%
6 41
 
3.3%
7 41
 
3.3%
0 32
 
2.6%
Other values (2) 39
 
3.2%
Hangul
ValueCountFrequency (%)
송 228
9.7%
파 213
9.1%
서 192
8.2%
특 192
8.2%
별 192
8.2%
시 192
8.2%
구 192
8.2%
울 192
8.2%
로 192
8.2%
길 117
 
5.0%
Other values (51) 439
18.8%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct133
Distinct (%)69.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5698.1198
Minimum5501
Maximum5853
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T15:10:55.142440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5501
5-th percentile5510
Q15626.75
median5729
Q35788.25
95-th percentile5835.35
Maximum5853
Range352
Interquartile range (IQR)161.5

Descriptive statistics

Standard deviation109.18509
Coefficient of variation (CV)0.019161599
Kurtosis-1.0359521
Mean5698.1198
Median Absolute Deviation (MAD)74
Skewness-0.51297236
Sum1094039
Variance11921.383
MonotonicityNot monotonic
2023-12-12T15:10:55.326420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5510 5
 
2.6%
5733 4
 
2.1%
5672 4
 
2.1%
5813 4
 
2.1%
5655 3
 
1.6%
5812 3
 
1.6%
5735 3
 
1.6%
5748 3
 
1.6%
5525 3
 
1.6%
5819 3
 
1.6%
Other values (123) 157
81.8%
ValueCountFrequency (%)
5501 1
 
0.5%
5502 1
 
0.5%
5503 1
 
0.5%
5504 2
 
1.0%
5506 1
 
0.5%
5507 1
 
0.5%
5510 5
2.6%
5514 1
 
0.5%
5515 1
 
0.5%
5516 1
 
0.5%
ValueCountFrequency (%)
5853 1
 
0.5%
5852 3
1.6%
5850 1
 
0.5%
5849 2
1.0%
5848 2
1.0%
5837 1
 
0.5%
5834 1
 
0.5%
5832 1
 
0.5%
5831 1
 
0.5%
5827 1
 
0.5%

행정동
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
장지
20 
풍납2
19 
오금
17 
가락2
14 
가본
13 
Other values (22)
109 

Length

Max length3
Median length3
Mean length2.6354167
Min length2

Unique

Unique2 ?
Unique (%)1.0%

Sample

1st row가락2
2nd row가본
3rd row가본
4th row가본
5th row송파2

Common Values

ValueCountFrequency (%)
장지 20
 
10.4%
풍납2 19
 
9.9%
오금 17
 
8.9%
가락2 14
 
7.3%
가본 13
 
6.8%
송파2 12
 
6.2%
마천2 11
 
5.7%
거여2 11
 
5.7%
위례 10
 
5.2%
문정1 7
 
3.6%
Other values (17) 58
30.2%

Length

2023-12-12T15:10:55.525328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장지 20
 
10.4%
풍납2 19
 
9.9%
오금 17
 
8.9%
가락2 14
 
7.3%
가본 13
 
6.8%
송파2 12
 
6.2%
마천2 11
 
5.7%
거여2 11
 
5.7%
위례 10
 
5.2%
문정1 7
 
3.6%
Other values (17) 58
30.2%

준공일자
Date

Distinct182
Distinct (%)94.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum1977-12-30 00:00:00
Maximum2019-11-14 00:00:00
2023-12-12T15:10:55.682765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:55.844212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

동수
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5572917
Minimum1
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2023-12-12T15:10:56.005574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median3
Q37
95-th percentile30.45
Maximum122
Range121
Interquartile range (IQR)6

Descriptive statistics

Standard deviation14.746616
Coefficient of variation (CV)1.9513096
Kurtosis26.096577
Mean7.5572917
Median Absolute Deviation (MAD)2
Skewness4.6696801
Sum1451
Variance217.46267
MonotonicityNot monotonic
2023-12-12T15:10:56.155854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 53
27.6%
2 31
16.1%
3 20
 
10.4%
4 14
 
7.3%
7 13
 
6.8%
6 12
 
6.2%
5 9
 
4.7%
9 6
 
3.1%
10 4
 
2.1%
8 4
 
2.1%
Other values (21) 26
13.5%
ValueCountFrequency (%)
1 53
27.6%
2 31
16.1%
3 20
 
10.4%
4 14
 
7.3%
5 9
 
4.7%
6 12
 
6.2%
7 13
 
6.8%
8 4
 
2.1%
9 6
 
3.1%
10 4
 
2.1%
ValueCountFrequency (%)
122 1
0.5%
84 1
0.5%
72 1
0.5%
66 1
0.5%
65 1
0.5%
56 1
0.5%
46 1
0.5%
35 1
0.5%
31 2
1.0%
30 1
0.5%

총호수
Text

Distinct162
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2023-12-12T15:10:56.551147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9947917
Min length2

Characters and Unicode

Total characters575
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)72.4%

Sample

1st row555
2nd row915
3rd row443
4th row264
5th row936
ValueCountFrequency (%)
120 4
 
2.1%
24 4
 
2.1%
48 3
 
1.6%
140 3
 
1.6%
32 3
 
1.6%
257 2
 
1.0%
555 2
 
1.0%
43 2
 
1.0%
42 2
 
1.0%
215 2
 
1.0%
Other values (152) 165
85.9%
2023-12-12T15:10:57.157439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 79
13.7%
1 72
12.5%
2 69
12.0%
5 56
9.7%
3 51
8.9%
0 49
8.5%
6 48
8.3%
9 45
7.8%
7 43
7.5%
8 42
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 554
96.3%
Other Punctuation 21
 
3.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 79
14.3%
1 72
13.0%
2 69
12.5%
5 56
10.1%
3 51
9.2%
0 49
8.8%
6 48
8.7%
9 45
8.1%
7 43
7.8%
8 42
7.6%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 575
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 79
13.7%
1 72
12.5%
2 69
12.0%
5 56
9.7%
3 51
8.9%
0 49
8.5%
6 48
8.3%
9 45
7.8%
7 43
7.5%
8 42
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 79
13.7%
1 72
12.5%
2 69
12.0%
5 56
9.7%
3 51
8.9%
0 49
8.5%
6 48
8.3%
9 45
7.8%
7 43
7.5%
8 42
7.3%

비고
Categorical

Distinct3
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
의무
117 
비의무
69 
임대
 
6

Length

Max length3
Median length2
Mean length2.359375
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의무 117
60.9%
비의무 69
35.9%
임대 6
 
3.1%

Length

2023-12-12T15:10:57.344677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:10:57.476786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의무 117
60.9%
비의무 69
35.9%
임대 6
 
3.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
Minimum2020-09-22 00:00:00
Maximum2020-09-22 00:00:00
2023-12-12T15:10:57.598950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:57.710208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T15:10:50.605810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:50.439295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:50.711210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:10:50.518343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:10:57.800405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호행정동동수비고
우편번호1.0000.9490.3520.000
행정동0.9491.0000.9120.555
동수0.3520.9121.0000.170
비고0.0000.5550.1701.000
2023-12-12T15:10:57.914671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정동비고
행정동1.0000.288
비고0.2881.000
2023-12-12T15:10:58.007833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호동수행정동비고
우편번호1.0000.1140.7130.000
동수0.1141.0000.6370.106
행정동0.7130.6371.0000.288
비고0.0000.1060.2881.000

Missing values

2023-12-12T15:10:50.821368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:10:50.978408image/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

아파트명전화번호FAX지번주소도로명주소(송파구)우편번호행정동준공일자동수총호수비고데이터기준일자
0가락극동02-403-788502-448-6471서울특별시 송파구 가락동 192서울특별시 송파구 동남로18길 95783가락21984-12-107555의무2020-09-22
1가락금호02-407-358202-443-6475서울특별시 송파구 가락동 95-1서울특별시 송파구 송파대로32길 155710가본1997-08-048915의무2020-09-22
2가락대림02-403-225902-409-7580서울특별시 송파구 가락동 70-19서울특별시 송파구 송이로 885707가본1988-11-184443의무2020-09-22
3가락동부센트레빌02-2043-316202-2043-3163서울특별시 송파구 가락동 95서울특별시 송파구 송파대로32길 335709가본2001-11-265264의무2020-09-22
4가락삼익맨션02-415-640102-6413-6400서울특별시 송파구 송파동 166서울특별시 송파구 오금로32길 55673송파21984-12-2014936의무2020-09-22
5가락상아 1차02-402-582702-431-5827서울특별시 송파구 오금동 166서울특별시 송파구 오금로 4055741오금1984-12-123226의무2020-09-22
6가락상아 2차02-408-650802-401-0008서울특별시 송파구 오금동 165서울특별시 송파구 오금로 4075741오금1988-10-256750의무2020-09-22
7가락쌍용 1차02-3402-103702-3402-1039서울특별시 송파구 가락동 140서울특별시 송파구 동남로 1935823가락21997-03-20142,064의무2020-09-22
8가락쌍용 2차02-408-227002-408-2271서울특별시 송파구 가락동 21-6서울특별시 송파구 송이로15길 315705가본1999-10-275492의무2020-09-22
9가락우성 1차02-400-660802-404-8467서울특별시 송파구 가락동 96-1서울특별시 송파구 송파대로32길 85711가본1986-12-067838의무2020-09-22
아파트명전화번호FAX지번주소도로명주소(송파구)우편번호행정동준공일자동수총호수비고데이터기준일자
182한보02-407-954602-407-9546서울특별시 송파구 마천동175서울특별시 송파구 마천로51길 255751마천21998-05-27184비의무2020-09-22
183현대그린빌02-406-161802-406-1614서울특별시 송파구 마천동 181서울특별시 송파구 마천로 3155758마천11998-06-30170비의무2020-09-22
184현대연립02-407-6543무서울특별시 송파구 가락동 32서울특별시 송파구 송이로17길 345704가본1988-04-21236비의무2020-09-22
185홍익봄마을02-416-7743무서울특별시 송파구 송파동 173-12서울특별시 송파구 송파대로36길 375674송파22004-10-15143비의무2020-09-22
186거여 3단지02-400-695002-448-8698서울특별시 송파구 거여동 292서울특별시 송파구 양산로2길 445778거여22000-10-095598임대2020-09-22
187거여 6단지02-400-093402-400-0933서울특별시 송파구 거여동 295서울특별시 송파구 양산로2길 385789거여21997-03-215660임대2020-09-22
188위례스타힐스(공공임대, 군인아파트)02-449-665802-449-6650서울특별시 송파구 장지동 885서울특별시 송파구 위례광장로 2155850위례2017-01-06171,493임대2020-09-22
189위례포레샤인02-401-335202-401-3360서울특별시 송파구 장지동905서울특별시 송파구 위례순환로 4775814위례2017-09-28272,200임대2020-09-22
190송파파크데일 3단지02-6415-060502-6415-0607서울특별시 송파구 마천동 605서울특별시 송파구 성내천로47길 225748마천12017-03-273148임대2020-09-22
191거여리본타운(거여12-1 행복주택)02-449-865502-449-8656서울특별시 송파구 거여동 12-1서울특별시 송파구 오금로53길 145744거여22018-05-101128임대2020-09-22