Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells1596
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory192.0 B

Variable types

Categorical7
Numeric8
Text6
DateTime1

Dataset

Description광주광역시 남구 관내 도로명주소에 대한 동, 지번, 고시일자, 도로관리기관, 우편번호, 기초구역번호 등에 관한 정보입니다
Author광주광역시 남구
URLhttps://www.data.go.kr/data/15124768/fileData.do

Alerts

시군구 has constant value ""Constant
고시여부 has constant value ""Constant
건물 용도(분류) is highly imbalanced (55.8%)Imbalance
건물종속구분 is highly imbalanced (89.0%)Imbalance
산여부 is highly imbalanced (96.2%)Imbalance
도로관리기관 is highly imbalanced (99.7%)Imbalance
지번-부번 has 1596 (16.0%) missing valuesMissing
건물일련번호 has unique valuesUnique
건물군일련번호 has 6332 (63.3%) zerosZeros
건물부번 has 5024 (50.2%) zerosZeros

Reproduction

Analysis started2023-12-12 21:18:11.350886
Analysis finished2023-12-12 21:18:12.859707
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군구
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남구
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 10000
100.0%

Length

2023-12-13T06:18:12.928334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:13.029930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 10000
100.0%

읍면동
Categorical

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
월산동
2423 
주월동
1117 
백운동
843 
봉선동
794 
방림동
757 
Other values (25)
4066 

Length

Max length3
Median length3
Mean length2.9196
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row봉선동
2nd row월산동
3rd row사동
4th row월산동
5th row양림동

Common Values

ValueCountFrequency (%)
월산동 2423
24.2%
주월동 1117
11.2%
백운동 843
 
8.4%
봉선동 794
 
7.9%
방림동 757
 
7.6%
양림동 512
 
5.1%
서동 502
 
5.0%
진월동 403
 
4.0%
송하동 230
 
2.3%
사동 197
 
2.0%
Other values (20) 2222
22.2%

Length

2023-12-13T06:18:13.153545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월산동 2423
24.2%
주월동 1117
11.2%
백운동 843
 
8.4%
봉선동 794
 
7.9%
방림동 757
 
7.6%
양림동 512
 
5.1%
서동 502
 
5.0%
진월동 403
 
4.0%
송하동 230
 
2.3%
사동 197
 
2.0%
Other values (20) 2222
22.2%

건물일련번호
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17035.889
Minimum2
Maximum40501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:18:13.308167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile1725.8
Q18489.75
median17042.5
Q324627.75
95-th percentile34388.95
Maximum40501
Range40499
Interquartile range (IQR)16138

Descriptive statistics

Standard deviation10017.658
Coefficient of variation (CV)0.58803258
Kurtosis-0.81879302
Mean17035.889
Median Absolute Deviation (MAD)8012
Skewness0.17686626
Sum1.7035889 × 108
Variance1.0035347 × 108
MonotonicityNot monotonic
2023-12-13T06:18:13.476276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5816 1
 
< 0.1%
7031 1
 
< 0.1%
26737 1
 
< 0.1%
19980 1
 
< 0.1%
13377 1
 
< 0.1%
25975 1
 
< 0.1%
501 1
 
< 0.1%
10980 1
 
< 0.1%
3006 1
 
< 0.1%
15714 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
2 1
< 0.1%
9 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
15 1
< 0.1%
40 1
< 0.1%
41 1
< 0.1%
60 1
< 0.1%
68 1
< 0.1%
69 1
< 0.1%
ValueCountFrequency (%)
40501 1
< 0.1%
40462 1
< 0.1%
40461 1
< 0.1%
40460 1
< 0.1%
40440 1
< 0.1%
40429 1
< 0.1%
40428 1
< 0.1%
40425 1
< 0.1%
40419 1
< 0.1%
40410 1
< 0.1%

건축물대장건물명
Text

Distinct1724
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:18:13.843626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length5
Mean length5.2281
Min length1

Characters and Unicode

Total characters52281
Distinct characters639
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1571 ?
Unique (%)15.7%

Sample

1st row데이터없음
2nd row데이터없음
3rd row데이터없음
4th row데이터없음
5th row데이터없음
ValueCountFrequency (%)
데이터없음 7937
76.8%
아파트 23
 
0.2%
송화마을휴먼시아 21
 
0.2%
현대아파트 20
 
0.2%
주월동 12
 
0.1%
삼익아파트 12
 
0.1%
모아아파트 10
 
0.1%
우방아이유쉘 10
 
0.1%
백운 10
 
0.1%
봉선동 9
 
0.1%
Other values (1838) 2277
 
22.0%
2023-12-13T06:18:14.369990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 8119
15.5%
터 7988
15.3%
음 7953
15.2%
데 7941
15.2%
없 7937
15.2%
아 354
 
0.7%
341
 
0.7%
트 313
 
0.6%
파 270
 
0.5%
동 215
 
0.4%
Other values (629) 10850
20.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51398
98.3%
Space Separator 341
 
0.7%
Decimal Number 241
 
0.5%
Uppercase Letter 140
 
0.3%
Lowercase Letter 67
 
0.1%
Dash Punctuation 30
 
0.1%
Close Punctuation 27
 
0.1%
Open Punctuation 26
 
< 0.1%
Other Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 8119
15.8%
터 7988
15.5%
음 7953
15.5%
데 7941
15.5%
없 7937
15.4%
아 354
 
0.7%
트 313
 
0.6%
파 270
 
0.5%
동 215
 
0.4%
주 193
 
0.4%
Other values (570) 10115
19.7%
Uppercase Letter
ValueCountFrequency (%)
S 20
14.3%
C 14
 
10.0%
A 11
 
7.9%
K 11
 
7.9%
O 9
 
6.4%
L 9
 
6.4%
B 8
 
5.7%
T 8
 
5.7%
G 7
 
5.0%
P 7
 
5.0%
Other values (13) 36
25.7%
Lowercase Letter
ValueCountFrequency (%)
e 7
10.4%
o 6
 
9.0%
c 6
 
9.0%
r 6
 
9.0%
y 5
 
7.5%
a 5
 
7.5%
f 4
 
6.0%
n 4
 
6.0%
d 4
 
6.0%
s 3
 
4.5%
Other values (9) 17
25.4%
Decimal Number
ValueCountFrequency (%)
1 75
31.1%
2 57
23.7%
3 25
 
10.4%
0 23
 
9.5%
4 18
 
7.5%
6 14
 
5.8%
5 12
 
5.0%
9 8
 
3.3%
8 5
 
2.1%
7 4
 
1.7%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
& 5
45.5%
, 1
 
9.1%
Space Separator
ValueCountFrequency (%)
341
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51398
98.3%
Common 676
 
1.3%
Latin 207
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 8119
15.8%
터 7988
15.5%
음 7953
15.5%
데 7941
15.5%
없 7937
15.4%
아 354
 
0.7%
트 313
 
0.6%
파 270
 
0.5%
동 215
 
0.4%
주 193
 
0.4%
Other values (570) 10115
19.7%
Latin
ValueCountFrequency (%)
S 20
 
9.7%
C 14
 
6.8%
A 11
 
5.3%
K 11
 
5.3%
O 9
 
4.3%
L 9
 
4.3%
B 8
 
3.9%
T 8
 
3.9%
e 7
 
3.4%
G 7
 
3.4%
Other values (32) 103
49.8%
Common
ValueCountFrequency (%)
341
50.4%
1 75
 
11.1%
2 57
 
8.4%
- 30
 
4.4%
) 27
 
4.0%
( 26
 
3.8%
3 25
 
3.7%
0 23
 
3.4%
4 18
 
2.7%
6 14
 
2.1%
Other values (7) 40
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51398
98.3%
ASCII 883
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 8119
15.8%
터 7988
15.5%
음 7953
15.5%
데 7941
15.5%
없 7937
15.4%
아 354
 
0.7%
트 313
 
0.6%
파 270
 
0.5%
동 215
 
0.4%
주 193
 
0.4%
Other values (570) 10115
19.7%
ASCII
ValueCountFrequency (%)
341
38.6%
1 75
 
8.5%
2 57
 
6.5%
- 30
 
3.4%
) 27
 
3.1%
( 26
 
2.9%
3 25
 
2.8%
0 23
 
2.6%
S 20
 
2.3%
4 18
 
2.0%
Other values (49) 241
27.3%

시군구관리건물명
Text

Distinct1858
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:18:14.722414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length5
Mean length5.2307
Min length1

Characters and Unicode

Total characters52307
Distinct characters668
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1677 ?
Unique (%)16.8%

Sample

1st row데이터없음
2nd row데이터없음
3rd row데이터없음
4th row데이터없음
5th row데이터없음
ValueCountFrequency (%)
데이터없음 7749
75.0%
아파트 26
 
0.3%
송화마을휴먼시아 21
 
0.2%
현대아파트 20
 
0.2%
삼익아파트 12
 
0.1%
중흥 10
 
0.1%
우방아이유쉘 10
 
0.1%
백운 10
 
0.1%
주월동 10
 
0.1%
모아아파트 10
 
0.1%
Other values (1977) 2450
 
23.7%
2023-12-13T06:18:15.207984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 7936
15.2%
터 7820
15.0%
음 7767
14.8%
데 7755
14.8%
없 7749
14.8%
아 401
 
0.8%
트 347
 
0.7%
332
 
0.6%
파 300
 
0.6%
주 198
 
0.4%
Other values (658) 11702
22.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51504
98.5%
Space Separator 332
 
0.6%
Uppercase Letter 185
 
0.4%
Decimal Number 142
 
0.3%
Lowercase Letter 63
 
0.1%
Other Punctuation 23
 
< 0.1%
Open Punctuation 21
 
< 0.1%
Close Punctuation 21
 
< 0.1%
Dash Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7936
15.4%
터 7820
15.2%
음 7767
15.1%
데 7755
15.1%
없 7749
15.0%
아 401
 
0.8%
트 347
 
0.7%
파 300
 
0.6%
주 198
 
0.4%
원 188
 
0.4%
Other values (597) 11043
21.4%
Uppercase Letter
ValueCountFrequency (%)
S 31
16.8%
K 14
 
7.6%
C 14
 
7.6%
A 13
 
7.0%
E 13
 
7.0%
L 11
 
5.9%
R 9
 
4.9%
O 9
 
4.9%
T 9
 
4.9%
M 8
 
4.3%
Other values (14) 54
29.2%
Lowercase Letter
ValueCountFrequency (%)
e 7
11.1%
c 6
 
9.5%
o 5
 
7.9%
a 5
 
7.9%
d 5
 
7.9%
y 5
 
7.9%
p 4
 
6.3%
r 4
 
6.3%
n 4
 
6.3%
f 3
 
4.8%
Other values (10) 15
23.8%
Decimal Number
ValueCountFrequency (%)
2 54
38.0%
1 44
31.0%
3 19
 
13.4%
4 7
 
4.9%
9 4
 
2.8%
5 4
 
2.8%
8 3
 
2.1%
6 3
 
2.1%
7 2
 
1.4%
0 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 13
56.5%
. 6
26.1%
& 4
 
17.4%
Space Separator
ValueCountFrequency (%)
332
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51504
98.5%
Common 555
 
1.1%
Latin 248
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7936
15.4%
터 7820
15.2%
음 7767
15.1%
데 7755
15.1%
없 7749
15.0%
아 401
 
0.8%
트 347
 
0.7%
파 300
 
0.6%
주 198
 
0.4%
원 188
 
0.4%
Other values (597) 11043
21.4%
Latin
ValueCountFrequency (%)
S 31
 
12.5%
K 14
 
5.6%
C 14
 
5.6%
A 13
 
5.2%
E 13
 
5.2%
L 11
 
4.4%
R 9
 
3.6%
O 9
 
3.6%
T 9
 
3.6%
M 8
 
3.2%
Other values (34) 117
47.2%
Common
ValueCountFrequency (%)
332
59.8%
2 54
 
9.7%
1 44
 
7.9%
( 21
 
3.8%
) 21
 
3.8%
3 19
 
3.4%
- 16
 
2.9%
, 13
 
2.3%
4 7
 
1.3%
. 6
 
1.1%
Other values (7) 22
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51504
98.5%
ASCII 803
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 7936
15.4%
터 7820
15.2%
음 7767
15.1%
데 7755
15.1%
없 7749
15.0%
아 401
 
0.8%
트 347
 
0.7%
파 300
 
0.6%
주 198
 
0.4%
원 188
 
0.4%
Other values (597) 11043
21.4%
ASCII
ValueCountFrequency (%)
332
41.3%
2 54
 
6.7%
1 44
 
5.5%
S 31
 
3.9%
( 21
 
2.6%
) 21
 
2.6%
3 19
 
2.4%
- 16
 
2.0%
K 14
 
1.7%
C 14
 
1.7%
Other values (51) 237
29.5%

상세건물명
Text

Distinct198
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:18:15.433383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length5
Mean length4.9387
Min length1

Characters and Unicode

Total characters49387
Distinct characters178
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique137 ?
Unique (%)1.4%

Sample

1st row데이터없음
2nd row데이터없음
3rd row데이터없음
4th row주건축물제1동
5th row데이터없음
ValueCountFrequency (%)
데이터없음 9413
93.9%
상가동 38
 
0.4%
102동 36
 
0.4%
101동 33
 
0.3%
103동 26
 
0.3%
주건축물제1동 22
 
0.2%
104동 21
 
0.2%
105동 18
 
0.2%
106동 18
 
0.2%
1동 17
 
0.2%
Other values (190) 382
 
3.8%
2023-12-13T06:18:15.749532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 9422
19.1%
터 9414
19.1%
데 9413
19.1%
없 9413
19.1%
음 9413
19.1%
동 513
 
1.0%
1 348
 
0.7%
0 303
 
0.6%
2 134
 
0.3%
3 78
 
0.2%
Other values (168) 936
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48282
97.8%
Decimal Number 1038
 
2.1%
Uppercase Letter 29
 
0.1%
Space Separator 24
 
< 0.1%
Lowercase Letter 8
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9422
19.5%
터 9414
19.5%
데 9413
19.5%
없 9413
19.5%
음 9413
19.5%
동 513
 
1.1%
가 78
 
0.2%
상 64
 
0.1%
주 49
 
0.1%
제 37
 
0.1%
Other values (140) 466
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 348
33.5%
0 303
29.2%
2 134
 
12.9%
3 78
 
7.5%
5 43
 
4.1%
6 38
 
3.7%
4 36
 
3.5%
8 23
 
2.2%
7 23
 
2.2%
9 12
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
B 13
44.8%
A 9
31.0%
C 3
 
10.3%
W 1
 
3.4%
F 1
 
3.4%
T 1
 
3.4%
D 1
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
r 2
25.0%
t 1
12.5%
s 1
12.5%
i 1
12.5%
w 1
12.5%
e 1
12.5%
o 1
12.5%
Space Separator
ValueCountFrequency (%)
24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48282
97.8%
Common 1068
 
2.2%
Latin 37
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 9422
19.5%
터 9414
19.5%
데 9413
19.5%
없 9413
19.5%
음 9413
19.5%
동 513
 
1.1%
가 78
 
0.2%
상 64
 
0.1%
주 49
 
0.1%
제 37
 
0.1%
Other values (140) 466
 
1.0%
Common
ValueCountFrequency (%)
1 348
32.6%
0 303
28.4%
2 134
 
12.5%
3 78
 
7.3%
5 43
 
4.0%
6 38
 
3.6%
4 36
 
3.4%
24
 
2.2%
8 23
 
2.2%
7 23
 
2.2%
Other values (4) 18
 
1.7%
Latin
ValueCountFrequency (%)
B 13
35.1%
A 9
24.3%
C 3
 
8.1%
r 2
 
5.4%
W 1
 
2.7%
t 1
 
2.7%
s 1
 
2.7%
F 1
 
2.7%
i 1
 
2.7%
w 1
 
2.7%
Other values (4) 4
 
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48282
97.8%
ASCII 1105
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 9422
19.5%
터 9414
19.5%
데 9413
19.5%
없 9413
19.5%
음 9413
19.5%
동 513
 
1.1%
가 78
 
0.2%
상 64
 
0.1%
주 49
 
0.1%
제 37
 
0.1%
Other values (140) 466
 
1.0%
ASCII
ValueCountFrequency (%)
1 348
31.5%
0 303
27.4%
2 134
 
12.1%
3 78
 
7.1%
5 43
 
3.9%
6 38
 
3.4%
4 36
 
3.3%
24
 
2.2%
8 23
 
2.1%
7 23
 
2.1%
Other values (18) 55
 
5.0%

건물 용도(분류)
Categorical

IMBALANCE 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
단독주택
6620 
제2종근린생활시설
798 
제1종근린생활시설
 
591
공동주택
 
567
판매 및 영업시설
 
538
Other values (17)
886 

Length

Max length11
Median length4
Mean length5.1757
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row제2종근린생활시설
2nd row창고시설
3rd row창고시설
4th row공동주택
5th row단독주택

Common Values

ValueCountFrequency (%)
단독주택 6620
66.2%
제2종근린생활시설 798
 
8.0%
제1종근린생활시설 591
 
5.9%
공동주택 567
 
5.7%
판매 및 영업시설 538
 
5.4%
창고시설 259
 
2.6%
교육연구 및 복지시설 217
 
2.2%
자동차관련시설 74
 
0.7%
의료시설 62
 
0.6%
위락시설 54
 
0.5%
Other values (12) 220
 
2.2%

Length

2023-12-13T06:18:15.866146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
단독주택 6620
57.2%
제2종근린생활시설 798
 
6.9%
및 786
 
6.8%
제1종근린생활시설 591
 
5.1%
공동주택 567
 
4.9%
판매 538
 
4.6%
영업시설 538
 
4.6%
창고시설 259
 
2.2%
교육연구 217
 
1.9%
복지시설 217
 
1.9%
Other values (16) 441
 
3.8%

건물 용도(상세)
Text

Distinct148
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:18:16.091010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length4
Mean length3.9652
Min length2

Characters and Unicode

Total characters39652
Distinct characters172
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

Unique37 ?
Unique (%)0.4%

Sample

1st row일반음식점
2nd row창고
3rd row기타창고시설
4th row다세대주택
5th row단독주택
ValueCountFrequency (%)
단독주택 6456
64.5%
상점 502
 
5.0%
아파트 427
 
4.3%
일반음식점 335
 
3.3%
소매점 261
 
2.6%
다가구주택 160
 
1.6%
창고 145
 
1.4%
사무소 127
 
1.3%
기타창고시설 105
 
1.0%
이(미)용원 104
 
1.0%
Other values (141) 1386
 
13.8%
2023-12-13T06:18:16.462392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 6831
17.2%
택 6752
17.0%
단 6459
16.3%
독 6457
16.3%
점 1223
 
3.1%
소 521
 
1.3%
상 510
 
1.3%
아 433
 
1.1%
파 433
 
1.1%
트 427
 
1.1%
Other values (162) 9606
24.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 39242
99.0%
Decimal Number 157
 
0.4%
Close Punctuation 120
 
0.3%
Open Punctuation 120
 
0.3%
Space Separator 8
 
< 0.1%
Other Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 6831
17.4%
택 6752
17.2%
단 6459
16.5%
독 6457
16.5%
점 1223
 
3.1%
소 521
 
1.3%
상 510
 
1.3%
아 433
 
1.1%
파 433
 
1.1%
트 427
 
1.1%
Other values (156) 9196
23.4%
Decimal Number
ValueCountFrequency (%)
1 96
61.1%
2 61
38.9%
Close Punctuation
ValueCountFrequency (%)
) 120
100.0%
Open Punctuation
ValueCountFrequency (%)
( 120
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 39242
99.0%
Common 410
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 6831
17.4%
택 6752
17.2%
단 6459
16.5%
독 6457
16.5%
점 1223
 
3.1%
소 521
 
1.3%
상 510
 
1.3%
아 433
 
1.1%
파 433
 
1.1%
트 427
 
1.1%
Other values (156) 9196
23.4%
Common
ValueCountFrequency (%)
) 120
29.3%
( 120
29.3%
1 96
23.4%
2 61
14.9%
8
 
2.0%
. 5
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 39242
99.0%
ASCII 410
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 6831
17.4%
택 6752
17.2%
단 6459
16.5%
독 6457
16.5%
점 1223
 
3.1%
소 521
 
1.3%
상 510
 
1.3%
아 433
 
1.1%
파 433
 
1.1%
트 427
 
1.1%
Other values (156) 9196
23.4%
ASCII
ValueCountFrequency (%)
) 120
29.3%
( 120
29.3%
1 96
23.4%
2 61
14.9%
8
 
2.0%
. 5
 
1.2%

건물종속구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주건물
9854 
종속건물
 
146

Length

Max length4
Median length3
Mean length3.0146
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주건물 9854
98.5%
종속건물 146
 
1.5%

Length

2023-12-13T06:18:16.571917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:16.647147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주건물 9854
98.5%
종속건물 146
 
1.5%

우편번호
Real number (ℝ)

Distinct169
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61678.066
Minimum61600
Maximum61768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:18:16.748648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61600
5-th percentile61606
Q161633
median61663
Q361733
95-th percentile61762
Maximum61768
Range168
Interquartile range (IQR)100

Descriptive statistics

Standard deviation54.258341
Coefficient of variation (CV)0.00087970238
Kurtosis-1.3488943
Mean61678.066
Median Absolute Deviation (MAD)42
Skewness0.32547938
Sum6.1678066 × 108
Variance2943.9676
MonotonicityNot monotonic
2023-12-13T06:18:16.878976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61639 290
 
2.9%
61763 290
 
2.9%
61635 228
 
2.3%
61762 224
 
2.2%
61759 203
 
2.0%
61758 193
 
1.9%
61751 188
 
1.9%
61640 176
 
1.8%
61757 152
 
1.5%
61662 143
 
1.4%
Other values (159) 7913
79.1%
ValueCountFrequency (%)
61600 87
0.9%
61601 61
0.6%
61602 116
1.2%
61603 69
0.7%
61604 69
0.7%
61605 79
0.8%
61606 62
0.6%
61607 79
0.8%
61608 79
0.8%
61609 25
 
0.2%
ValueCountFrequency (%)
61768 45
 
0.4%
61767 4
 
< 0.1%
61766 39
 
0.4%
61765 27
 
0.3%
61764 18
 
0.2%
61763 290
2.9%
61762 224
2.2%
61761 86
 
0.9%
61760 138
1.4%
61759 203
2.0%

산여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
<NA>
9959 
산
 
41

Length

Max length4
Median length4
Mean length3.9877
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 9959
99.6%
산 41
 
0.4%

Length

2023-12-13T06:18:16.999586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:17.074254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 9959
99.6%
산 41
 
0.4%

지번-본번
Real number (ℝ)

Distinct1047
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean474.109
Minimum1
Maximum1328
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:18:17.164756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27
Q1151
median409
Q3816
95-th percentile1045
Maximum1328
Range1327
Interquartile range (IQR)665

Descriptive statistics

Standard deviation357.83344
Coefficient of variation (CV)0.75474932
Kurtosis-1.1839098
Mean474.109
Median Absolute Deviation (MAD)280
Skewness0.42384498
Sum4741090
Variance128044.77
MonotonicityNot monotonic
2023-12-13T06:18:17.522494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
974 126
 
1.3%
653 81
 
0.8%
1048 74
 
0.7%
92 69
 
0.7%
201 66
 
0.7%
24 55
 
0.5%
57 51
 
0.5%
21 42
 
0.4%
37 42
 
0.4%
2 41
 
0.4%
Other values (1037) 9353
93.5%
ValueCountFrequency (%)
1 16
 
0.2%
2 41
0.4%
3 8
 
0.1%
4 7
 
0.1%
5 19
0.2%
6 26
0.3%
7 22
0.2%
8 25
0.2%
9 15
 
0.1%
10 13
 
0.1%
ValueCountFrequency (%)
1328 4
< 0.1%
1320 2
 
< 0.1%
1311 1
 
< 0.1%
1303 6
0.1%
1301 1
 
< 0.1%
1287 6
0.1%
1286 2
 
< 0.1%
1244 1
 
< 0.1%
1242 1
 
< 0.1%
1240 1
 
< 0.1%

지번-부번
Real number (ℝ)

MISSING 

Distinct239
Distinct (%)2.8%
Missing1596
Missing (%)16.0%
Infinite0
Infinite (%)0.0%
Mean20.3302
Minimum1
Maximum536
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:18:17.636281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median10
Q323
95-th percentile77
Maximum536
Range535
Interquartile range (IQR)20

Descriptive statistics

Standard deviation33.700889
Coefficient of variation (CV)1.6576762
Kurtosis28.427804
Mean20.3302
Median Absolute Deviation (MAD)8
Skewness4.4489331
Sum170855
Variance1135.7499
MonotonicityNot monotonic
2023-12-13T06:18:17.745875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1223
 
12.2%
2 491
 
4.9%
3 451
 
4.5%
4 408
 
4.1%
5 402
 
4.0%
6 341
 
3.4%
7 326
 
3.3%
8 285
 
2.9%
9 246
 
2.5%
12 219
 
2.2%
Other values (229) 4012
40.1%
(Missing) 1596
 
16.0%
ValueCountFrequency (%)
1 1223
12.2%
2 491
4.9%
3 451
 
4.5%
4 408
 
4.1%
5 402
 
4.0%
6 341
 
3.4%
7 326
 
3.3%
8 285
 
2.9%
9 246
 
2.5%
10 207
 
2.1%
ValueCountFrequency (%)
536 1
< 0.1%
360 1
< 0.1%
358 1
< 0.1%
328 1
< 0.1%
321 1
< 0.1%
320 2
< 0.1%
313 1
< 0.1%
312 1
< 0.1%
310 1
< 0.1%
309 1
< 0.1%

고시일자
Date

Distinct518
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2011-07-29 00:00:00
Maximum2023-10-25 00:00:00
2023-12-13T06:18:17.853197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:18:17.966430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

건물군일련번호
Real number (ℝ)

ZEROS 

Distinct2507
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4712.3971
Minimum0
Maximum25710
Zeros6332
Zeros (%)63.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:18:18.086483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q39671.25
95-th percentile20230
Maximum25710
Range25710
Interquartile range (IQR)9671.25

Descriptive statistics

Standard deviation7484.0091
Coefficient of variation (CV)1.5881533
Kurtosis0.31586709
Mean4712.3971
Median Absolute Deviation (MAD)0
Skewness1.3156882
Sum47123971
Variance56010392
MonotonicityNot monotonic
2023-12-13T06:18:18.208746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6332
63.3%
1523 8
 
0.1%
24630 8
 
0.1%
1954 8
 
0.1%
1958 7
 
0.1%
13402 7
 
0.1%
8596 7
 
0.1%
5451 7
 
0.1%
25090 7
 
0.1%
1983 6
 
0.1%
Other values (2497) 3603
36.0%
ValueCountFrequency (%)
0 6332
63.3%
2 1
 
< 0.1%
3 1
 
< 0.1%
42 1
 
< 0.1%
44 1
 
< 0.1%
45 1
 
< 0.1%
50 1
 
< 0.1%
54 2
 
< 0.1%
59 1
 
< 0.1%
60 1
 
< 0.1%
ValueCountFrequency (%)
25710 3
< 0.1%
25691 1
 
< 0.1%
25690 1
 
< 0.1%
25688 2
< 0.1%
25685 1
 
< 0.1%
25684 1
 
< 0.1%
25683 2
< 0.1%
25680 1
 
< 0.1%
25677 2
< 0.1%
25675 1
 
< 0.1%

건물군명
Text

Distinct360
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:18:18.444129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length5
Mean length5.2041
Min length2

Characters and Unicode

Total characters52041
Distinct characters333
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)1.7%

Sample

1st row데이터없음
2nd row삼성에너지석유
3rd row데이터없음
4th row데이터없음
5th row데이터없음
ValueCountFrequency (%)
데이터없음 9248
91.1%
효천1지구 12
 
0.1%
현대아파트 10
 
0.1%
중흥 9
 
0.1%
송화마을휴먼시아5단지아파트 8
 
0.1%
송원학원 8
 
0.1%
라인하이츠아파트 8
 
0.1%
송화 7
 
0.1%
포스코더샵아파트 7
 
0.1%
포레 7
 
0.1%
Other values (400) 833
 
8.2%
2023-12-13T06:18:18.839854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 9314
17.9%
터 9267
17.8%
음 9253
17.8%
데 9248
17.8%
없 9248
17.8%
아 352
 
0.7%
파 307
 
0.6%
트 291
 
0.6%
157
 
0.3%
지 122
 
0.2%
Other values (323) 4482
8.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 51521
99.0%
Decimal Number 188
 
0.4%
Space Separator 157
 
0.3%
Uppercase Letter 109
 
0.2%
Open Punctuation 20
 
< 0.1%
Close Punctuation 20
 
< 0.1%
Dash Punctuation 16
 
< 0.1%
Other Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 9314
18.1%
터 9267
18.0%
음 9253
18.0%
데 9248
17.9%
없 9248
17.9%
아 352
 
0.7%
파 307
 
0.6%
트 291
 
0.6%
지 122
 
0.2%
교 112
 
0.2%
Other values (297) 4007
7.8%
Decimal Number
ValueCountFrequency (%)
1 72
38.3%
2 71
37.8%
3 17
 
9.0%
5 8
 
4.3%
0 6
 
3.2%
7 5
 
2.7%
4 3
 
1.6%
8 3
 
1.6%
6 2
 
1.1%
9 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
S 42
38.5%
C 17
15.6%
L 16
 
14.7%
A 15
 
13.8%
W 8
 
7.3%
H 4
 
3.7%
Y 3
 
2.8%
P 2
 
1.8%
B 1
 
0.9%
M 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 6
60.0%
· 4
40.0%
Space Separator
ValueCountFrequency (%)
157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 51521
99.0%
Common 411
 
0.8%
Latin 109
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 9314
18.1%
터 9267
18.0%
음 9253
18.0%
데 9248
17.9%
없 9248
17.9%
아 352
 
0.7%
파 307
 
0.6%
트 291
 
0.6%
지 122
 
0.2%
교 112
 
0.2%
Other values (297) 4007
7.8%
Common
ValueCountFrequency (%)
157
38.2%
1 72
17.5%
2 71
17.3%
( 20
 
4.9%
) 20
 
4.9%
3 17
 
4.1%
- 16
 
3.9%
5 8
 
1.9%
, 6
 
1.5%
0 6
 
1.5%
Other values (6) 18
 
4.4%
Latin
ValueCountFrequency (%)
S 42
38.5%
C 17
15.6%
L 16
 
14.7%
A 15
 
13.8%
W 8
 
7.3%
H 4
 
3.7%
Y 3
 
2.8%
P 2
 
1.8%
B 1
 
0.9%
M 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 51521
99.0%
ASCII 516
 
1.0%
None 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 9314
18.1%
터 9267
18.0%
음 9253
18.0%
데 9248
17.9%
없 9248
17.9%
아 352
 
0.7%
파 307
 
0.6%
트 291
 
0.6%
지 122
 
0.2%
교 112
 
0.2%
Other values (297) 4007
7.8%
ASCII
ValueCountFrequency (%)
157
30.4%
1 72
14.0%
2 71
13.8%
S 42
 
8.1%
( 20
 
3.9%
) 20
 
3.9%
3 17
 
3.3%
C 17
 
3.3%
- 16
 
3.1%
L 16
 
3.1%
Other values (15) 68
13.2%
None
ValueCountFrequency (%)
· 4
100.0%

도로명
Text

Distinct751
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T06:18:19.108920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length5.8743
Min length3

Characters and Unicode

Total characters58743
Distinct characters156
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)0.4%

Sample

1st row봉선1로
2nd row수박등로
3rd row천변좌로370번길
4th row군분로169번길
5th row천변좌로434번길
ValueCountFrequency (%)
대남대로 144
 
1.4%
포충로 131
 
1.3%
서문대로 111
 
1.1%
독립로 106
 
1.1%
용대로 102
 
1.0%
월산로 101
 
1.0%
천변좌로 99
 
1.0%
군분로 98
 
1.0%
중앙로 98
 
1.0%
금당로 76
 
0.8%
Other values (741) 8934
89.3%
2023-12-13T06:18:19.578110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
길 7780
 
13.2%
로 6895
 
11.7%
번 4659
 
7.9%
1 2559
 
4.4%
대 2108
 
3.6%
2 1996
 
3.4%
3 1484
 
2.5%
4 1482
 
2.5%
7 1219
 
2.1%
5 1152
 
2.0%
Other values (146) 27409
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45192
76.9%
Decimal Number 13540
 
23.0%
Other Punctuation 11
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
길 7780
17.2%
로 6895
 
15.3%
번 4659
 
10.3%
대 2108
 
4.7%
서 1055
 
2.3%
남 807
 
1.8%
안 776
 
1.7%
중 767
 
1.7%
봉 757
 
1.7%
천 662
 
1.5%
Other values (135) 18926
41.9%
Decimal Number
ValueCountFrequency (%)
1 2559
18.9%
2 1996
14.7%
3 1484
11.0%
4 1482
10.9%
7 1219
9.0%
5 1152
8.5%
0 1015
 
7.5%
6 1013
 
7.5%
9 842
 
6.2%
8 778
 
5.7%
Other Punctuation
ValueCountFrequency (%)
· 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45192
76.9%
Common 13551
 
23.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
길 7780
17.2%
로 6895
 
15.3%
번 4659
 
10.3%
대 2108
 
4.7%
서 1055
 
2.3%
남 807
 
1.8%
안 776
 
1.7%
중 767
 
1.7%
봉 757
 
1.7%
천 662
 
1.5%
Other values (135) 18926
41.9%
Common
ValueCountFrequency (%)
1 2559
18.9%
2 1996
14.7%
3 1484
11.0%
4 1482
10.9%
7 1219
9.0%
5 1152
8.5%
0 1015
 
7.5%
6 1013
 
7.5%
9 842
 
6.2%
8 778
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45192
76.9%
ASCII 13540
 
23.0%
None 11
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
길 7780
17.2%
로 6895
 
15.3%
번 4659
 
10.3%
대 2108
 
4.7%
서 1055
 
2.3%
남 807
 
1.8%
안 776
 
1.7%
중 767
 
1.7%
봉 757
 
1.7%
천 662
 
1.5%
Other values (135) 18926
41.9%
ASCII
ValueCountFrequency (%)
1 2559
18.9%
2 1996
14.7%
3 1484
11.0%
4 1482
10.9%
7 1219
9.0%
5 1152
8.5%
0 1015
 
7.5%
6 1013
 
7.5%
9 842
 
6.2%
8 778
 
5.7%
None
ValueCountFrequency (%)
· 11
100.0%

건물본번
Real number (ℝ)

Distinct529
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.7971
Minimum1
Maximum6781
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:18:19.757429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q17
median16
Q336
95-th percentile266.1
Maximum6781
Range6780
Interquartile range (IQR)29

Descriptive statistics

Standard deviation176.97719
Coefficient of variation (CV)3.0620428
Kurtosis500.66066
Mean57.7971
Median Absolute Deviation (MAD)11
Skewness16.107399
Sum577971
Variance31320.927
MonotonicityNot monotonic
2023-12-13T06:18:19.927998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 463
 
4.6%
6 440
 
4.4%
5 439
 
4.4%
3 403
 
4.0%
8 396
 
4.0%
4 362
 
3.6%
9 332
 
3.3%
12 318
 
3.2%
10 301
 
3.0%
13 254
 
2.5%
Other values (519) 6292
62.9%
ValueCountFrequency (%)
1 221
2.2%
2 223
2.2%
3 403
4.0%
4 362
3.6%
5 439
4.4%
6 440
4.4%
7 463
4.6%
8 396
4.0%
9 332
3.3%
10 301
3.0%
ValueCountFrequency (%)
6781 2
< 0.1%
5195 1
< 0.1%
2275 1
< 0.1%
1508 1
< 0.1%
1299 1
< 0.1%
1295 1
< 0.1%
1294 2
< 0.1%
1290 1
< 0.1%
1284 2
< 0.1%
1270 1
< 0.1%

건물부번
Real number (ℝ)

ZEROS 

Distinct46
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2253
Minimum0
Maximum123
Zeros5024
Zeros (%)50.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:18:20.121281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile10
Maximum123
Range123
Interquartile range (IQR)3

Descriptive statistics

Standard deviation4.570955
Coefficient of variation (CV)2.0540848
Kurtosis118.75934
Mean2.2253
Median Absolute Deviation (MAD)0
Skewness7.4268077
Sum22253
Variance20.893629
MonotonicityNot monotonic
2023-12-13T06:18:20.283337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
0 5024
50.2%
1 1735
 
17.3%
2 647
 
6.5%
3 505
 
5.1%
4 431
 
4.3%
5 289
 
2.9%
6 271
 
2.7%
7 189
 
1.9%
8 174
 
1.7%
10 149
 
1.5%
Other values (36) 586
 
5.9%
ValueCountFrequency (%)
0 5024
50.2%
1 1735
 
17.3%
2 647
 
6.5%
3 505
 
5.1%
4 431
 
4.3%
5 289
 
2.9%
6 271
 
2.7%
7 189
 
1.9%
8 174
 
1.7%
9 123
 
1.2%
ValueCountFrequency (%)
123 1
< 0.1%
97 1
< 0.1%
90 1
< 0.1%
77 1
< 0.1%
74 1
< 0.1%
72 1
< 0.1%
67 1
< 0.1%
64 1
< 0.1%
62 1
< 0.1%
55 2
< 0.1%

기초구역번호
Real number (ℝ)

Distinct169
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61678.066
Minimum61600
Maximum61768
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T06:18:20.441638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61600
5-th percentile61606
Q161633
median61663
Q361733
95-th percentile61762
Maximum61768
Range168
Interquartile range (IQR)100

Descriptive statistics

Standard deviation54.258341
Coefficient of variation (CV)0.00087970238
Kurtosis-1.3488943
Mean61678.066
Median Absolute Deviation (MAD)42
Skewness0.32547938
Sum6.1678066 × 108
Variance2943.9676
MonotonicityNot monotonic
2023-12-13T06:18:20.612838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
61639 290
 
2.9%
61763 290
 
2.9%
61635 228
 
2.3%
61762 224
 
2.2%
61759 203
 
2.0%
61758 193
 
1.9%
61751 188
 
1.9%
61640 176
 
1.8%
61757 152
 
1.5%
61662 143
 
1.4%
Other values (159) 7913
79.1%
ValueCountFrequency (%)
61600 87
0.9%
61601 61
0.6%
61602 116
1.2%
61603 69
0.7%
61604 69
0.7%
61605 79
0.8%
61606 62
0.6%
61607 79
0.8%
61608 79
0.8%
61609 25
 
0.2%
ValueCountFrequency (%)
61768 45
 
0.4%
61767 4
 
< 0.1%
61766 39
 
0.4%
61765 27
 
0.3%
61764 18
 
0.2%
61763 290
2.9%
61762 224
2.2%
61761 86
 
0.9%
61760 138
1.4%
61759 203
2.0%

도로관리기관
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
남구
9998 
나주시
 
2

Length

Max length3
Median length2
Mean length2.0002
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 9998
> 99.9%
나주시 2
 
< 0.1%

Length

2023-12-13T06:18:20.779526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:20.892623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 9998
> 99.9%
나주시 2
 
< 0.1%

고시여부
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
고시
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고시 10000
100.0%

Length

2023-12-13T06:18:21.020669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:18:21.133325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고시 10000
100.0%

Sample

시군구읍면동건물일련번호건축물대장건물명시군구관리건물명상세건물명건물 용도(분류)건물 용도(상세)건물종속구분우편번호산여부지번-본번지번-부번고시일자건물군일련번호건물군명도로명건물본번건물부번기초구역번호도로관리기관고시여부
19762남구봉선동5816데이터없음데이터없음데이터없음제2종근린생활시설일반음식점주건물61675<NA>104012011-07-294351데이터없음봉선1로56061675남구고시
3126남구월산동5018데이터없음데이터없음데이터없음창고시설창고주건물61620<NA>24712011-07-293753삼성에너지석유수박등로59061620남구고시
285남구사동40020데이터없음데이터없음데이터없음창고시설기타창고시설주건물61639<NA>16022011-07-2925482데이터없음천변좌로370번길23161639남구고시
3489남구월산동38722데이터없음데이터없음주건축물제1동공동주택다세대주택주건물61600<NA>92412022-06-080데이터없음군분로169번길5061600남구고시
17662남구양림동13068데이터없음데이터없음데이터없음단독주택단독주택주건물61640<NA>201202011-07-299649데이터없음천변좌로434번길6261640남구고시
5051남구월산동20397데이터없음데이터없음데이터없음단독주택단독주택주건물61601<NA>1006172011-07-290데이터없음군분로93번길3461601남구고시
24540남구양과동24597데이터없음데이터없음데이터없음단독주택단독주택주건물61754<NA>471<NA>2011-07-2917977데이터없음광곡마을길76061754남구고시
2662남구월산동8289데이터없음데이터없음데이터없음단독주택단독주택주건물61618<NA>91342011-07-290데이터없음금화로4801061618남구고시
21318남구봉선동37359남양 휴튼 엠브이지 101동남양휴튼엠브이지데이터없음공동주택아파트주건물61683<NA>496102021-05-260데이터없음봉선중앙로47번길15061683남구고시
20287남구봉선동6496데이터없음데이터없음데이터없음단독주택단독주택주건물61665<NA>113152011-07-290데이터없음대남대로127번길6061665남구고시
시군구읍면동건물일련번호건축물대장건물명시군구관리건물명상세건물명건물 용도(분류)건물 용도(상세)건물종속구분우편번호산여부지번-본번지번-부번고시일자건물군일련번호건물군명도로명건물본번건물부번기초구역번호도로관리기관고시여부
21958남구구소동24178데이터없음데이터없음데이터없음단독주택단독주택주건물61763<NA>57212011-07-290데이터없음도덕길52061763남구고시
22763남구지석동6086석교자동차공업사석교자동차공업사데이터없음판매 및 영업시설기타판매및영업시설주건물61751<NA>409422011-07-290데이터없음고싸움로163061751남구고시
608남구구동18326데이터없음데이터없음데이터없음단독주택단독주택주건물61639<NA>5562011-07-290데이터없음중앙로128번길4261639남구고시
22491남구승촌동24783데이터없음데이터없음데이터없음단독주택단독주택주건물61759<NA>139<NA>2011-07-2918075데이터없음승촌4길22461759남구고시
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