Overview

Dataset statistics

Number of variables12
Number of observations553
Missing cells354
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory53.6 KiB
Average record size in memory99.2 B

Variable types

Text6
Numeric3
DateTime2
Categorical1

Dataset

Description경기도 수원시 관내 공동주택 현황으로 수원시 내 공동주택 주소(도로명, 지번), 층수, 관리사무소 전화번호, 팩스번호, 세대수, 사업승인일, 사용검사일을 포함합니다.
URLhttps://www.data.go.kr/data/15068914/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
위도 has 10 (1.8%) missing valuesMissing
경도 has 10 (1.8%) missing valuesMissing
관리사무소전화번호 has 111 (20.1%) missing valuesMissing
팩스번호 has 138 (25.0%) missing valuesMissing
사업승인일 has 85 (15.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:02:56.055008
Analysis finished2023-12-12 00:02:57.977980
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

Distinct533
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T09:02:58.151123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length16
Mean length6.3363472
Min length2

Characters and Unicode

Total characters3504
Distinct characters313
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique516 ?
Unique (%)93.3%

Sample

1st row파장삼익
2nd row문화맨션
3rd row신반포
4th row우만현대
5th row동신1차
ValueCountFrequency (%)
꽃뫼노을마을 6
 
0.9%
e편한세상 5
 
0.8%
장안 4
 
0.6%
비단마을 4
 
0.6%
현대 4
 
0.6%
꽃뫼버들마을 4
 
0.6%
궁전 3
 
0.5%
2단지 3
 
0.5%
청솔마을 3
 
0.5%
백설마을 3
 
0.5%
Other values (566) 620
94.1%
2023-12-12T09:02:58.500195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 117
 
3.3%
107
 
3.1%
단 97
 
2.8%
스 72
 
2.1%
원 71
 
2.0%
이 60
 
1.7%
성 57
 
1.6%
아 56
 
1.6%
2 56
 
1.6%
수 53
 
1.5%
Other values (303) 2758
78.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3088
88.1%
Decimal Number 162
 
4.6%
Space Separator 107
 
3.1%
Uppercase Letter 58
 
1.7%
Other Punctuation 26
 
0.7%
Lowercase Letter 26
 
0.7%
Close Punctuation 18
 
0.5%
Open Punctuation 16
 
0.5%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 117
 
3.8%
단 97
 
3.1%
스 72
 
2.3%
원 71
 
2.3%
이 60
 
1.9%
성 57
 
1.8%
아 56
 
1.8%
수 53
 
1.7%
주 52
 
1.7%
마 51
 
1.7%
Other values (261) 2402
77.8%
Uppercase Letter
ValueCountFrequency (%)
E 8
13.8%
S 8
13.8%
K 6
10.3%
R 5
8.6%
I 4
6.9%
W 4
6.9%
T 4
6.9%
C 4
6.9%
V 3
 
5.2%
Y 3
 
5.2%
Other values (6) 9
15.5%
Decimal Number
ValueCountFrequency (%)
2 56
34.6%
1 51
31.5%
3 22
 
13.6%
4 7
 
4.3%
5 7
 
4.3%
6 7
 
4.3%
0 4
 
2.5%
8 4
 
2.5%
7 2
 
1.2%
9 2
 
1.2%
Lowercase Letter
ValueCountFrequency (%)
e 10
38.5%
l 4
 
15.4%
i 2
 
7.7%
h 2
 
7.7%
t 2
 
7.7%
s 2
 
7.7%
c 2
 
7.7%
k 1
 
3.8%
a 1
 
3.8%
Other Punctuation
ValueCountFrequency (%)
. 14
53.8%
, 11
42.3%
· 1
 
3.8%
Space Separator
ValueCountFrequency (%)
107
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3088
88.1%
Common 332
 
9.5%
Latin 84
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 117
 
3.8%
단 97
 
3.1%
스 72
 
2.3%
원 71
 
2.3%
이 60
 
1.9%
성 57
 
1.8%
아 56
 
1.8%
수 53
 
1.7%
주 52
 
1.7%
마 51
 
1.7%
Other values (261) 2402
77.8%
Latin
ValueCountFrequency (%)
e 10
 
11.9%
E 8
 
9.5%
S 8
 
9.5%
K 6
 
7.1%
R 5
 
6.0%
I 4
 
4.8%
W 4
 
4.8%
T 4
 
4.8%
l 4
 
4.8%
C 4
 
4.8%
Other values (15) 27
32.1%
Common
ValueCountFrequency (%)
107
32.2%
2 56
16.9%
1 51
15.4%
3 22
 
6.6%
) 18
 
5.4%
( 16
 
4.8%
. 14
 
4.2%
, 11
 
3.3%
4 7
 
2.1%
5 7
 
2.1%
Other values (7) 23
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3088
88.1%
ASCII 415
 
11.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 117
 
3.8%
단 97
 
3.1%
스 72
 
2.3%
원 71
 
2.3%
이 60
 
1.9%
성 57
 
1.8%
아 56
 
1.8%
수 53
 
1.7%
주 52
 
1.7%
마 51
 
1.7%
Other values (261) 2402
77.8%
ASCII
ValueCountFrequency (%)
107
25.8%
2 56
13.5%
1 51
12.3%
3 22
 
5.3%
) 18
 
4.3%
( 16
 
3.9%
. 14
 
3.4%
, 11
 
2.7%
e 10
 
2.4%
E 8
 
1.9%
Other values (31) 102
24.6%
None
ValueCountFrequency (%)
· 1
100.0%

소재지도로명주소
Text

Distinct551
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T09:02:58.780644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length37.696203
Min length18

Characters and Unicode

Total characters20846
Distinct characters335
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique549 ?
Unique (%)99.3%

Sample

1st row경기도 수원시 장안구 경수대로 1102 (파장동, 삼익아파트)
2nd row경기도 수원시 팔달구 정조로 659 (매교동, 문화맨션)
3rd row경기도 수원시 팔달구 장다리로306번길 13 (인계동, 신반포아파트)
4th row경기도 수원시 팔달구 권광로364번길 7-2 (우만동, 현대아파트)
5th row경기도 수원시 장안구 장안로 232 (정자동, 동신아파트)
ValueCountFrequency (%)
수원시 553
 
13.6%
경기도 551
 
13.6%
권선구 166
 
4.1%
장안구 151
 
3.7%
영통구 148
 
3.6%
팔달구 88
 
2.2%
정자동 51
 
1.3%
권선동 41
 
1.0%
매탄동 34
 
0.8%
영통동 32
 
0.8%
Other values (1136) 2246
55.3%
2023-12-12T09:02:59.173236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3571
 
17.1%
원 715
 
3.4%
수 711
 
3.4%
동 621
 
3.0%
경 588
 
2.8%
시 574
 
2.8%
구 568
 
2.7%
로 559
 
2.7%
도 558
 
2.7%
기 556
 
2.7%
Other values (325) 11825
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13052
62.6%
Space Separator 3571
 
17.1%
Decimal Number 2371
 
11.4%
Other Punctuation 564
 
2.7%
Open Punctuation 551
 
2.6%
Close Punctuation 551
 
2.6%
Uppercase Letter 80
 
0.4%
Dash Punctuation 75
 
0.4%
Lowercase Letter 31
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 715
 
5.5%
수 711
 
5.4%
동 621
 
4.8%
경 588
 
4.5%
시 574
 
4.4%
구 568
 
4.4%
로 559
 
4.3%
도 558
 
4.3%
기 556
 
4.3%
파 374
 
2.9%
Other values (278) 7228
55.4%
Uppercase Letter
ValueCountFrequency (%)
E 10
12.5%
K 8
10.0%
S 8
10.0%
C 6
 
7.5%
R 6
 
7.5%
A 6
 
7.5%
T 5
 
6.2%
L 5
 
6.2%
W 4
 
5.0%
I 4
 
5.0%
Other values (9) 18
22.5%
Decimal Number
ValueCountFrequency (%)
1 469
19.8%
2 350
14.8%
3 263
11.1%
4 212
8.9%
5 207
8.7%
6 206
8.7%
7 198
8.4%
0 192
8.1%
8 140
 
5.9%
9 134
 
5.7%
Lowercase Letter
ValueCountFrequency (%)
e 10
32.3%
l 5
16.1%
i 3
 
9.7%
t 3
 
9.7%
m 2
 
6.5%
h 2
 
6.5%
a 2
 
6.5%
s 2
 
6.5%
u 1
 
3.2%
c 1
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 547
97.0%
. 15
 
2.7%
· 1
 
0.2%
' 1
 
0.2%
Space Separator
ValueCountFrequency (%)
3571
100.0%
Open Punctuation
ValueCountFrequency (%)
( 551
100.0%
Close Punctuation
ValueCountFrequency (%)
) 551
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 75
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13052
62.6%
Common 7683
36.9%
Latin 111
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 715
 
5.5%
수 711
 
5.4%
동 621
 
4.8%
경 588
 
4.5%
시 574
 
4.4%
구 568
 
4.4%
로 559
 
4.3%
도 558
 
4.3%
기 556
 
4.3%
파 374
 
2.9%
Other values (278) 7228
55.4%
Latin
ValueCountFrequency (%)
e 10
 
9.0%
E 10
 
9.0%
K 8
 
7.2%
S 8
 
7.2%
C 6
 
5.4%
R 6
 
5.4%
A 6
 
5.4%
T 5
 
4.5%
l 5
 
4.5%
L 5
 
4.5%
Other values (19) 42
37.8%
Common
ValueCountFrequency (%)
3571
46.5%
( 551
 
7.2%
) 551
 
7.2%
, 547
 
7.1%
1 469
 
6.1%
2 350
 
4.6%
3 263
 
3.4%
4 212
 
2.8%
5 207
 
2.7%
6 206
 
2.7%
Other values (8) 756
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13052
62.6%
ASCII 7793
37.4%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3571
45.8%
( 551
 
7.1%
) 551
 
7.1%
, 547
 
7.0%
1 469
 
6.0%
2 350
 
4.5%
3 263
 
3.4%
4 212
 
2.7%
5 207
 
2.7%
6 206
 
2.6%
Other values (36) 866
 
11.1%
Hangul
ValueCountFrequency (%)
원 715
 
5.5%
수 711
 
5.4%
동 621
 
4.8%
경 588
 
4.5%
시 574
 
4.4%
구 568
 
4.4%
로 559
 
4.3%
도 558
 
4.3%
기 556
 
4.3%
파 374
 
2.9%
Other values (278) 7228
55.4%
None
ValueCountFrequency (%)
· 1
100.0%

소재지지번주소
Text

Distinct551
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T09:02:59.407058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length20.320072
Min length18

Characters and Unicode

Total characters11237
Distinct characters78
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

Unique549 ?
Unique (%)99.3%

Sample

1st row경기도 수원시 장안구 파장동 528-8
2nd row경기도 수원시 팔달구 매교동 158-6
3rd row경기도 수원시 팔달구 인계동 319-6
4th row경기도 수원시 팔달구 우만동 129-9
5th row경기도 수원시 장안구 정자동 839-27
ValueCountFrequency (%)
경기도 553
20.0%
수원시 553
20.0%
권선구 166
 
6.0%
장안구 151
 
5.5%
영통구 148
 
5.3%
팔달구 88
 
3.2%
정자동 52
 
1.9%
권선동 41
 
1.5%
매탄동 35
 
1.3%
영통동 32
 
1.2%
Other values (567) 949
34.3%
2023-12-12T09:02:59.704114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2233
19.9%
원 583
 
5.2%
구 561
 
5.0%
수 558
 
5.0%
경 553
 
4.9%
도 553
 
4.9%
시 553
 
4.9%
기 553
 
4.9%
동 551
 
4.9%
1 429
 
3.8%
Other values (68) 4110
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6652
59.2%
Space Separator 2233
 
19.9%
Decimal Number 2077
 
18.5%
Dash Punctuation 275
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 583
 
8.8%
구 561
 
8.4%
수 558
 
8.4%
경 553
 
8.3%
도 553
 
8.3%
시 553
 
8.3%
기 553
 
8.3%
동 551
 
8.3%
권 207
 
3.1%
선 207
 
3.1%
Other values (56) 1773
26.7%
Decimal Number
ValueCountFrequency (%)
1 429
20.7%
3 221
10.6%
2 214
10.3%
4 196
9.4%
8 175
8.4%
0 173
8.3%
5 170
 
8.2%
9 168
 
8.1%
6 168
 
8.1%
7 163
 
7.8%
Space Separator
ValueCountFrequency (%)
2233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 275
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6652
59.2%
Common 4585
40.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 583
 
8.8%
구 561
 
8.4%
수 558
 
8.4%
경 553
 
8.3%
도 553
 
8.3%
시 553
 
8.3%
기 553
 
8.3%
동 551
 
8.3%
권 207
 
3.1%
선 207
 
3.1%
Other values (56) 1773
26.7%
Common
ValueCountFrequency (%)
2233
48.7%
1 429
 
9.4%
- 275
 
6.0%
3 221
 
4.8%
2 214
 
4.7%
4 196
 
4.3%
8 175
 
3.8%
0 173
 
3.8%
5 170
 
3.7%
9 168
 
3.7%
Other values (2) 331
 
7.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6652
59.2%
ASCII 4585
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2233
48.7%
1 429
 
9.4%
- 275
 
6.0%
3 221
 
4.8%
2 214
 
4.7%
4 196
 
4.3%
8 175
 
3.8%
0 173
 
3.8%
5 170
 
3.7%
9 168
 
3.7%
Other values (2) 331
 
7.2%
Hangul
ValueCountFrequency (%)
원 583
 
8.8%
구 561
 
8.4%
수 558
 
8.4%
경 553
 
8.3%
도 553
 
8.3%
시 553
 
8.3%
기 553
 
8.3%
동 551
 
8.3%
권 207
 
3.1%
선 207
 
3.1%
Other values (56) 1773
26.7%

위도
Real number (ℝ)

MISSING 

Distinct381
Distinct (%)70.2%
Missing10
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean37.275625
Minimum37.2339
Maximum37.3144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-12T09:02:59.825846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.2339
5-th percentile37.2418
Q137.2579
median37.2757
Q337.2934
95-th percentile37.30679
Maximum37.3144
Range0.0805
Interquartile range (IQR)0.0355

Descriptive statistics

Standard deviation0.020861113
Coefficient of variation (CV)0.00055964488
Kurtosis-1.1273361
Mean37.275625
Median Absolute Deviation (MAD)0.0178
Skewness-0.11979269
Sum20240.665
Variance0.00043518602
MonotonicityNot monotonic
2023-12-12T09:02:59.981650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.255 5
 
0.9%
37.2733 4
 
0.7%
37.2911 4
 
0.7%
37.2694 4
 
0.7%
37.3017 3
 
0.5%
37.2509 3
 
0.5%
37.2507 3
 
0.5%
37.2994 3
 
0.5%
37.2465 3
 
0.5%
37.2601 3
 
0.5%
Other values (371) 508
91.9%
(Missing) 10
 
1.8%
ValueCountFrequency (%)
37.2339 1
0.2%
37.2343 1
0.2%
37.2353 1
0.2%
37.2358 1
0.2%
37.2363 1
0.2%
37.2365 1
0.2%
37.2371 1
0.2%
37.2372 1
0.2%
37.2375 1
0.2%
37.2378 1
0.2%
ValueCountFrequency (%)
37.3144 1
0.2%
37.3137 1
0.2%
37.3121 1
0.2%
37.3114 2
0.4%
37.3108 1
0.2%
37.3106 1
0.2%
37.3104 1
0.2%
37.3103 1
0.2%
37.3101 1
0.2%
37.3095 1
0.2%

경도
Real number (ℝ)

MISSING 

Distinct435
Distinct (%)80.1%
Missing10
Missing (%)1.8%
Infinite0
Infinite (%)0.0%
Mean127.01385
Minimum126.937
Maximum127.0831
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-12T09:03:00.149851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.937
5-th percentile126.95501
Q1126.98985
median127.0134
Q3127.0415
95-th percentile127.06712
Maximum127.0831
Range0.1461
Interquartile range (IQR)0.05165

Descriptive statistics

Standard deviation0.034530577
Coefficient of variation (CV)0.00027186466
Kurtosis-0.79951933
Mean127.01385
Median Absolute Deviation (MAD)0.0268
Skewness-0.13915332
Sum68968.522
Variance0.0011923608
MonotonicityNot monotonic
2023-12-12T09:03:00.274621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0178 3
 
0.5%
127.0415 3
 
0.5%
126.9619 3
 
0.5%
126.9668 3
 
0.5%
127.0119 3
 
0.5%
126.992 3
 
0.5%
127.0676 3
 
0.5%
127.0384 3
 
0.5%
127.0134 3
 
0.5%
127.0127 3
 
0.5%
Other values (425) 513
92.8%
(Missing) 10
 
1.8%
ValueCountFrequency (%)
126.937 1
0.2%
126.9371 1
0.2%
126.9377 1
0.2%
126.9383 1
0.2%
126.9389 1
0.2%
126.9392 1
0.2%
126.9394 1
0.2%
126.9402 1
0.2%
126.9426 1
0.2%
126.9432 1
0.2%
ValueCountFrequency (%)
127.0831 2
0.4%
127.0829 1
0.2%
127.0813 2
0.4%
127.08 1
0.2%
127.0799 1
0.2%
127.0785 1
0.2%
127.0771 1
0.2%
127.0759 2
0.4%
127.0756 1
0.2%
127.0753 1
0.2%

층수
Text

Distinct150
Distinct (%)27.1%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-12T09:03:00.566840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length2.8499096
Min length1

Characters and Unicode

Total characters1576
Distinct characters16
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)16.5%

Sample

1st row11
2nd row12
3rd row12
4th row5
5th row15
ValueCountFrequency (%)
15 57
 
10.3%
5 56
 
10.1%
20 28
 
5.0%
3 23
 
4.1%
4 18
 
3.2%
10 18
 
3.2%
12 15
 
2.7%
25 13
 
2.3%
6 12
 
2.2%
18 11
 
2.0%
Other values (143) 305
54.9%
2023-12-12T09:03:01.013178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 410
26.0%
2 256
16.2%
5 208
13.2%
~ 202
12.8%
0 122
 
7.7%
3 101
 
6.4%
4 76
 
4.8%
6 55
 
3.5%
8 51
 
3.2%
9 43
 
2.7%
Other values (6) 52
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1359
86.2%
Math Symbol 202
 
12.8%
Other Letter 6
 
0.4%
Other Punctuation 5
 
0.3%
Space Separator 3
 
0.2%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 410
30.2%
2 256
18.8%
5 208
15.3%
0 122
 
9.0%
3 101
 
7.4%
4 76
 
5.6%
6 55
 
4.0%
8 51
 
3.8%
9 43
 
3.2%
7 37
 
2.7%
Other Letter
ValueCountFrequency (%)
월 3
50.0%
일 3
50.0%
Math Symbol
ValueCountFrequency (%)
~ 202
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 5
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1570
99.6%
Hangul 6
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 410
26.1%
2 256
16.3%
5 208
13.2%
~ 202
12.9%
0 122
 
7.8%
3 101
 
6.4%
4 76
 
4.8%
6 55
 
3.5%
8 51
 
3.2%
9 43
 
2.7%
Other values (4) 46
 
2.9%
Hangul
ValueCountFrequency (%)
월 3
50.0%
일 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1570
99.6%
Hangul 6
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 410
26.1%
2 256
16.3%
5 208
13.2%
~ 202
12.9%
0 122
 
7.8%
3 101
 
6.4%
4 76
 
4.8%
6 55
 
3.5%
8 51
 
3.2%
9 43
 
2.7%
Other values (4) 46
 
2.9%
Hangul
ValueCountFrequency (%)
월 3
50.0%
일 3
50.0%

관리사무소전화번호
Text

MISSING 

Distinct440
Distinct (%)99.5%
Missing111
Missing (%)20.1%
Memory size4.4 KiB
2023-12-12T09:03:01.228815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters5304
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

Unique438 ?
Unique (%)99.1%

Sample

1st row031-255-8552
2nd row031-232-3783
3rd row031-232-7138
4th row031-211-6383
5th row031-244-2447
ValueCountFrequency (%)
031-292-5950 2
 
0.5%
031-273-9850 2
 
0.5%
031-215-2970 1
 
0.2%
031-295-5950 1
 
0.2%
031-255-8552 1
 
0.2%
031-211-1937 1
 
0.2%
031-269-6669 1
 
0.2%
031-298-7224 1
 
0.2%
031-214-7972 1
 
0.2%
031-216-1297 1
 
0.2%
Other values (430) 430
97.3%
2023-12-12T09:03:01.549618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 884
16.7%
1 767
14.5%
3 731
13.8%
0 725
13.7%
2 691
13.0%
6 270
 
5.1%
5 267
 
5.0%
9 259
 
4.9%
8 257
 
4.8%
4 230
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4420
83.3%
Dash Punctuation 884
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 767
17.4%
3 731
16.5%
0 725
16.4%
2 691
15.6%
6 270
 
6.1%
5 267
 
6.0%
9 259
 
5.9%
8 257
 
5.8%
4 230
 
5.2%
7 223
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 884
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5304
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 884
16.7%
1 767
14.5%
3 731
13.8%
0 725
13.7%
2 691
13.0%
6 270
 
5.1%
5 267
 
5.0%
9 259
 
4.9%
8 257
 
4.8%
4 230
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5304
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 884
16.7%
1 767
14.5%
3 731
13.8%
0 725
13.7%
2 691
13.0%
6 270
 
5.1%
5 267
 
5.0%
9 259
 
4.9%
8 257
 
4.8%
4 230
 
4.3%

팩스번호
Text

MISSING 

Distinct413
Distinct (%)99.5%
Missing138
Missing (%)25.0%
Memory size4.4 KiB
2023-12-12T09:03:01.791843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.014458
Min length11

Characters and Unicode

Total characters4986
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique411 ?
Unique (%)99.0%

Sample

1st row031-268-8553
2nd row031-232-3783
3rd row031-236-2138
4th row031-212-5220
5th row031-244-2417
ValueCountFrequency (%)
031-292-9997 2
 
0.5%
031-292-5951 2
 
0.5%
031-211-4137 1
 
0.2%
031-226-1854 1
 
0.2%
031-227-0515 1
 
0.2%
031-295-5952 1
 
0.2%
031-217-8327 1
 
0.2%
031-296-0981 1
 
0.2%
031-898-9867 1
 
0.2%
031-898-9872 1
 
0.2%
Other values (403) 403
97.1%
2023-12-12T09:03:02.128235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 830
16.6%
0 702
14.1%
1 700
14.0%
3 699
14.0%
2 619
12.4%
9 257
 
5.2%
8 246
 
4.9%
6 244
 
4.9%
7 237
 
4.8%
5 228
 
4.6%
Other values (2) 224
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4153
83.3%
Dash Punctuation 830
 
16.6%
Space Separator 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 702
16.9%
1 700
16.9%
3 699
16.8%
2 619
14.9%
9 257
 
6.2%
8 246
 
5.9%
6 244
 
5.9%
7 237
 
5.7%
5 228
 
5.5%
4 221
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 830
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4986
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 830
16.6%
0 702
14.1%
1 700
14.0%
3 699
14.0%
2 619
12.4%
9 257
 
5.2%
8 246
 
4.9%
6 244
 
4.9%
7 237
 
4.8%
5 228
 
4.6%
Other values (2) 224
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4986
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 830
16.6%
0 702
14.1%
1 700
14.0%
3 699
14.0%
2 619
12.4%
9 257
 
5.2%
8 246
 
4.9%
6 244
 
4.9%
7 237
 
4.8%
5 228
 
4.6%
Other values (2) 224
 
4.5%

세대수
Real number (ℝ)

Distinct406
Distinct (%)73.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean522.25316
Minimum18
Maximum5282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2023-12-12T09:03:02.247539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile35.6
Q1129
median344
Q3686
95-th percentile1688.8
Maximum5282
Range5264
Interquartile range (IQR)557

Descriptive statistics

Standard deviation604.98259
Coefficient of variation (CV)1.1584087
Kurtosis13.028271
Mean522.25316
Median Absolute Deviation (MAD)251
Skewness2.9316243
Sum288806
Variance366003.94
MonotonicityNot monotonic
2023-12-12T09:03:02.363837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 8
 
1.4%
60 7
 
1.3%
24 7
 
1.3%
30 7
 
1.3%
180 5
 
0.9%
44 4
 
0.7%
90 4
 
0.7%
39 4
 
0.7%
34 4
 
0.7%
40 4
 
0.7%
Other values (396) 499
90.2%
ValueCountFrequency (%)
18 1
 
0.2%
21 1
 
0.2%
24 7
1.3%
25 1
 
0.2%
26 1
 
0.2%
27 1
 
0.2%
28 1
 
0.2%
30 7
1.3%
32 2
 
0.4%
33 1
 
0.2%
ValueCountFrequency (%)
5282 1
0.2%
4086 1
0.2%
3603 1
0.2%
3498 1
0.2%
3391 1
0.2%
3234 1
0.2%
3129 1
0.2%
2586 1
0.2%
2571 1
0.2%
2400 1
0.2%

사업승인일
Date

MISSING 

Distinct393
Distinct (%)84.0%
Missing85
Missing (%)15.4%
Memory size4.4 KiB
Minimum1972-03-02 00:00:00
Maximum2021-10-22 00:00:00
2023-12-12T09:03:02.476228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:02.610317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사용검사일
Date

Distinct490
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
Minimum1978-09-14 00:00:00
Maximum2023-04-27 00:00:00
2023-12-12T09:03:02.722886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:03:02.835962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-07-05
553 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-05
2nd row2023-07-05
3rd row2023-07-05
4th row2023-07-05
5th row2023-07-05

Common Values

ValueCountFrequency (%)
2023-07-05 553
100.0%

Length

2023-12-12T09:03:02.941682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:03:03.014055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-05 553
100.0%

Interactions

2023-12-12T09:02:57.343101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:02:56.557190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:02:57.052336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:02:57.433114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:02:56.874338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:02:57.164342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:02:57.520821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:02:56.958025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:02:57.258874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:03:03.066848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도세대수
위도1.0000.5870.144
경도0.5871.0000.280
세대수0.1440.2801.000
2023-12-12T09:03:03.132813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도세대수
위도1.000-0.345-0.229
경도-0.3451.0000.084
세대수-0.2290.0841.000

Missing values

2023-12-12T09:02:57.641260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:02:57.788681image/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.
2023-12-12T09:02:57.904862image/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

아파트명소재지도로명주소소재지지번주소위도경도층수관리사무소전화번호팩스번호세대수사업승인일사용검사일데이터기준일자
0파장삼익경기도 수원시 장안구 경수대로 1102 (파장동, 삼익아파트)경기도 수원시 장안구 파장동 528-837.3108126.992811031-255-8552031-268-85532201972-03-021978-10-302023-07-05
1문화맨션경기도 수원시 팔달구 정조로 659 (매교동, 문화맨션)경기도 수원시 팔달구 매교동 158-637.2677127.016112031-232-3783031-232-37831751978-05-231979-05-302023-07-05
2신반포경기도 수원시 팔달구 장다리로306번길 13 (인계동, 신반포아파트)경기도 수원시 팔달구 인계동 319-637.2739127.031212031-232-7138031-236-213811851980-08-271983-12-222023-07-05
3우만현대경기도 수원시 팔달구 권광로364번길 7-2 (우만동, 현대아파트)경기도 수원시 팔달구 우만동 129-937.2803127.0385031-211-6383031-212-52204041984-06-181985-06-282023-07-05
4동신1차경기도 수원시 장안구 장안로 232 (정자동, 동신아파트)경기도 수원시 장안구 정자동 839-2737.3044126.993515031-244-2447031-244-241715481986-04-041987-05-302023-07-05
5원천주공경기도 수원시 영통구 중부대로271번길 27-9 (원천동, 주공아파트)경기도 수원시 영통구 원천동 64-937.2763127.046815031-211-6535031-211-629213201987-07-141987-08-142023-07-05
6동남경기도 수원시 권선구 여기산로 54 (서둔동, 동남아파트)경기도 수원시 권선구 서둔동 36137.283126.98035031-291-5671031-891-56713801987-12-031987-12-032023-07-05
7성일경기도 수원시 권선구 여기산로 42 (서둔동, 성일아파트)경기도 수원시 권선구 서둔동 361-137.2806126.97885031-292-5670031-305-56703701987-03-271987-12-032023-07-05
8동신2차경기도 수원시 장안구 장안로 211 (정자동, 동신아파트)경기도 수원시 장안구 정자동 395-337.3015126.994112~15031-252-1406031-302-386719921986-04-041988-05-102023-07-05
9우만주공1단지경기도 수원시 팔달구 중부대로223번길 102 (우만동, 주공1단지아파트)경기도 수원시 팔달구 우만동 3337.2823127.03895031-212-7120031-211-61205001987-05-301988-05-302023-07-05
아파트명소재지도로명주소소재지지번주소위도경도층수관리사무소전화번호팩스번호세대수사업승인일사용검사일데이터기준일자
543대광로제비앙경기도 수원시 영통구 웰빙타운로 106 (이의동, 광교대광로제비앙)경기도 수원시 영통구 이의동 118237.3069127.04185031-214-9901<NA>1452009-12-232012-06-282023-07-05
544소망주택경기도 수원시 장안구 경수대로927번길 20 (송죽동)경기도 수원시 장안구 송죽동 500-3337.3011127.007901월 05일<NA><NA>482012-01-31-2015-03-252023-07-05
545광교시티아이경기도 수원시 영통구 대학3로 28 (이의동)경기도 수원시 영통구 이의동 125337.3017127.04157<NA><NA>802012-06-29-2015-04-132023-07-05
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