Overview

Dataset statistics

Number of variables9
Number of observations6232
Missing cells11662
Missing cells (%)20.8%
Duplicate rows357
Duplicate rows (%)5.7%
Total size in memory456.6 KiB
Average record size in memory75.0 B

Variable types

Text3
Categorical2
Numeric3
DateTime1

Dataset

Description공적공간이란 공중 (公衆)이 이용하도록 제공된 공간입니다. 건축법과 국토계획법에 따라 설치된 공개공지나 공개공간, 도로 및 건축물 사이의 공지를 비롯해 사유지 안에도 관계법령에 따라 공중을 위해 제공된 장소가 모두 공적공간에 해당됩니다.
URLhttps://www.data.go.kr/data/15112020/fileData.do

Alerts

공개공지유형 has constant value ""Constant
Dataset has 357 (5.7%) duplicate rowsDuplicates
공개공지명 has 4506 (72.3%) missing valuesMissing
공개공지면적 has 323 (5.2%) missing valuesMissing
준공일 has 486 (7.8%) missing valuesMissing
법적근거 has 5383 (86.4%) missing valuesMissing
연면적 has 482 (7.7%) missing valuesMissing
층수 has 482 (7.7%) missing valuesMissing
공개공지면적 is highly skewed (γ1 = 76.79773974)Skewed
연면적 is highly skewed (γ1 = 69.54017079)Skewed
공개공지면적 has 3140 (50.4%) zerosZeros

Reproduction

Analysis started2023-12-12 04:07:59.661476
Analysis finished2023-12-12 04:08:02.926522
Duration3.27 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주소
Text

Distinct5771
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
2023-12-12T13:08:03.564504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length81
Median length63
Mean length30.05199
Min length15

Characters and Unicode

Total characters187284
Distinct characters744
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5336 ?
Unique (%)85.6%

Sample

1st row강원도 강릉시 강문동 274-1 씨마크호텔(SEAMARQ)
2nd row강원도 강릉시 교동 1783 강릉우편집중국청사
3rd row강원도 강릉시 송정동 1008-7
4th row강원도 강릉시 옥천동 189 씨네몰
5th row강원도 강릉시 유천동 776-4 유천올림피아오피스텔
ValueCountFrequency (%)
서울특별시 2483
 
6.7%
경기도 1364
 
3.7%
부산광역시 731
 
2.0%
강남구 493
 
1.3%
중구 301
 
0.8%
인천광역시 291
 
0.8%
성남시 278
 
0.8%
대구광역시 260
 
0.7%
경상남도 246
 
0.7%
분당구 223
 
0.6%
Other values (11814) 30293
82.0%
2023-12-12T13:08:04.192627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31562
 
16.9%
동 7774
 
4.2%
시 6819
 
3.6%
1 6041
 
3.2%
구 5808
 
3.1%
- 4372
 
2.3%
서 3783
 
2.0%
2 3347
 
1.8%
울 2760
 
1.5%
별 2667
 
1.4%
Other values (734) 112351
60.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 117501
62.7%
Space Separator 31562
 
16.9%
Decimal Number 26297
 
14.0%
Dash Punctuation 4372
 
2.3%
Uppercase Letter 2749
 
1.5%
Close Punctuation 1981
 
1.1%
Open Punctuation 1980
 
1.1%
Lowercase Letter 678
 
0.4%
Other Punctuation 81
 
< 0.1%
Letter Number 76
 
< 0.1%
Other values (3) 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7774
 
6.6%
시 6819
 
5.8%
구 5808
 
4.9%
서 3783
 
3.2%
울 2760
 
2.3%
별 2667
 
2.3%
특 2635
 
2.2%
도 2606
 
2.2%
산 2246
 
1.9%
스 2157
 
1.8%
Other values (652) 78246
66.6%
Uppercase Letter
ValueCountFrequency (%)
A 249
 
9.1%
T 229
 
8.3%
E 229
 
8.3%
S 219
 
8.0%
I 169
 
6.1%
C 161
 
5.9%
R 146
 
5.3%
K 138
 
5.0%
B 131
 
4.8%
M 121
 
4.4%
Other values (16) 957
34.8%
Lowercase Letter
ValueCountFrequency (%)
e 132
19.5%
r 61
9.0%
a 58
 
8.6%
t 56
 
8.3%
o 55
 
8.1%
l 42
 
6.2%
n 40
 
5.9%
s 29
 
4.3%
i 28
 
4.1%
c 26
 
3.8%
Other values (15) 151
22.3%
Decimal Number
ValueCountFrequency (%)
1 6041
23.0%
2 3347
12.7%
3 2642
10.0%
5 2360
 
9.0%
4 2331
 
8.9%
6 2210
 
8.4%
7 2030
 
7.7%
0 1862
 
7.1%
8 1794
 
6.8%
9 1680
 
6.4%
Other Punctuation
ValueCountFrequency (%)
. 23
28.4%
, 21
25.9%
& 16
19.8%
/ 11
13.6%
' 3
 
3.7%
· 3
 
3.7%
′ 2
 
2.5%
: 1
 
1.2%
# 1
 
1.2%
Letter Number
ValueCountFrequency (%)
Ⅱ 35
46.1%
Ⅰ 21
27.6%
Ⅲ 20
26.3%
Math Symbol
ValueCountFrequency (%)
｜ 2
40.0%
∥ 2
40.0%
+ 1
20.0%
Space Separator
ValueCountFrequency (%)
31562
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4372
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1981
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1980
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 117494
62.7%
Common 66279
35.4%
Latin 3503
 
1.9%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7774
 
6.6%
시 6819
 
5.8%
구 5808
 
4.9%
서 3783
 
3.2%
울 2760
 
2.3%
별 2667
 
2.3%
특 2635
 
2.2%
도 2606
 
2.2%
산 2246
 
1.9%
스 2157
 
1.8%
Other values (648) 78239
66.6%
Latin
ValueCountFrequency (%)
A 249
 
7.1%
T 229
 
6.5%
E 229
 
6.5%
S 219
 
6.3%
I 169
 
4.8%
C 161
 
4.6%
R 146
 
4.2%
K 138
 
3.9%
e 132
 
3.8%
B 131
 
3.7%
Other values (44) 1700
48.5%
Common
ValueCountFrequency (%)
31562
47.6%
1 6041
 
9.1%
- 4372
 
6.6%
2 3347
 
5.0%
3 2642
 
4.0%
5 2360
 
3.6%
4 2331
 
3.5%
6 2210
 
3.3%
7 2030
 
3.1%
) 1981
 
3.0%
Other values (17) 7403
 
11.2%
Han
ValueCountFrequency (%)
美 4
50.0%
街 1
 
12.5%
休 1
 
12.5%
雲 1
 
12.5%
巖 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 117492
62.7%
ASCII 69697
37.2%
Number Forms 76
 
< 0.1%
CJK 8
 
< 0.1%
None 6
 
< 0.1%
Math Operators 2
 
< 0.1%
Punctuation 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31562
45.3%
1 6041
 
8.7%
- 4372
 
6.3%
2 3347
 
4.8%
3 2642
 
3.8%
5 2360
 
3.4%
4 2331
 
3.3%
6 2210
 
3.2%
7 2030
 
2.9%
) 1981
 
2.8%
Other values (64) 10821
 
15.5%
Hangul
ValueCountFrequency (%)
동 7774
 
6.6%
시 6819
 
5.8%
구 5808
 
4.9%
서 3783
 
3.2%
울 2760
 
2.3%
별 2667
 
2.3%
특 2635
 
2.2%
도 2606
 
2.2%
산 2246
 
1.9%
스 2157
 
1.8%
Other values (646) 78237
66.6%
Number Forms
ValueCountFrequency (%)
Ⅱ 35
46.1%
Ⅰ 21
27.6%
Ⅲ 20
26.3%
CJK
ValueCountFrequency (%)
美 4
50.0%
街 1
 
12.5%
休 1
 
12.5%
雲 1
 
12.5%
巖 1
 
12.5%
None
ValueCountFrequency (%)
· 3
50.0%
｜ 2
33.3%
㈜ 1
 
16.7%
Math Operators
ValueCountFrequency (%)
∥ 2
100.0%
Punctuation
ValueCountFrequency (%)
′ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

공개공지명
Text

MISSING 

Distinct1322
Distinct (%)76.6%
Missing4506
Missing (%)72.3%
Memory size48.8 KiB
2023-12-12T13:08:04.536043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length23
Mean length9.3499421
Min length1

Characters and Unicode

Total characters16138
Distinct characters584
Distinct categories13 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1223 ?
Unique (%)70.9%

Sample

1st row유천 올림피아 공개공지
2nd row현진호텔 공개공지
3rd row월드피아 공개공지
4th row무실채움
5th row시네시티 공개공지
ValueCountFrequency (%)
공개공지 770
 
23.6%
열린공간 93
 
2.8%
오피스텔 42
 
1.3%
blcm 41
 
1.3%
쉼터 39
 
1.2%
열린마당 35
 
1.1%
동탄 20
 
0.6%
광장 19
 
0.6%
더 18
 
0.6%
공개공지면적 17
 
0.5%
Other values (1687) 2174
66.5%
2023-12-12T13:08:05.186972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 1829
 
11.3%
1546
 
9.6%
지 948
 
5.9%
개 829
 
5.1%
스 395
 
2.4%
이 213
 
1.3%
동 172
 
1.1%
트 172
 
1.1%
리 171
 
1.1%
원 162
 
1.0%
Other values (574) 9701
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13184
81.7%
Space Separator 1546
 
9.6%
Uppercase Letter 558
 
3.5%
Decimal Number 434
 
2.7%
Lowercase Letter 138
 
0.9%
Other Punctuation 86
 
0.5%
Dash Punctuation 58
 
0.4%
Close Punctuation 58
 
0.4%
Open Punctuation 58
 
0.4%
Math Symbol 6
 
< 0.1%
Other values (3) 12
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 1829
 
13.9%
지 948
 
7.2%
개 829
 
6.3%
스 395
 
3.0%
이 213
 
1.6%
동 172
 
1.3%
트 172
 
1.3%
리 171
 
1.3%
원 162
 
1.2%
린 157
 
1.2%
Other values (502) 8136
61.7%
Uppercase Letter
ValueCountFrequency (%)
C 67
12.0%
B 63
11.3%
L 58
 
10.4%
M 53
 
9.5%
S 30
 
5.4%
E 30
 
5.4%
T 27
 
4.8%
K 27
 
4.8%
A 27
 
4.8%
I 25
 
4.5%
Other values (15) 151
27.1%
Lowercase Letter
ValueCountFrequency (%)
e 31
22.5%
a 16
11.6%
r 15
10.9%
t 14
10.1%
o 8
 
5.8%
n 7
 
5.1%
l 7
 
5.1%
h 6
 
4.3%
i 5
 
3.6%
p 5
 
3.6%
Other values (10) 24
17.4%
Decimal Number
ValueCountFrequency (%)
1 101
23.3%
2 80
18.4%
3 54
12.4%
0 42
9.7%
7 33
 
7.6%
5 31
 
7.1%
4 28
 
6.5%
6 28
 
6.5%
8 19
 
4.4%
9 18
 
4.1%
Other Punctuation
ValueCountFrequency (%)
/ 39
45.3%
, 35
40.7%
. 9
 
10.5%
& 2
 
2.3%
; 1
 
1.2%
Other Symbol
ValueCountFrequency (%)
㉡ 2
33.3%
㉰ 2
33.3%
㉠ 1
16.7%
㉮ 1
16.7%
Letter Number
ValueCountFrequency (%)
Ⅲ 4
80.0%
Ⅱ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1546
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Math Symbol
ValueCountFrequency (%)
+ 6
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13186
81.7%
Common 2247
 
13.9%
Latin 701
 
4.3%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 1829
 
13.9%
지 948
 
7.2%
개 829
 
6.3%
스 395
 
3.0%
이 213
 
1.6%
동 172
 
1.3%
트 172
 
1.3%
리 171
 
1.3%
원 162
 
1.2%
린 157
 
1.2%
Other values (502) 8138
61.7%
Latin
ValueCountFrequency (%)
C 67
 
9.6%
B 63
 
9.0%
L 58
 
8.3%
M 53
 
7.6%
e 31
 
4.4%
S 30
 
4.3%
E 30
 
4.3%
T 27
 
3.9%
K 27
 
3.9%
A 27
 
3.9%
Other values (37) 288
41.1%
Common
ValueCountFrequency (%)
1546
68.8%
1 101
 
4.5%
2 80
 
3.6%
- 58
 
2.6%
) 58
 
2.6%
( 58
 
2.6%
3 54
 
2.4%
0 42
 
1.9%
/ 39
 
1.7%
, 35
 
1.6%
Other values (11) 176
 
7.8%
Han
ValueCountFrequency (%)
間 1
25.0%
地 1
25.0%
雲 1
25.0%
羅 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13180
81.7%
ASCII 2943
 
18.2%
None 6
 
< 0.1%
Number Forms 5
 
< 0.1%
CJK 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 1829
 
13.9%
지 948
 
7.2%
개 829
 
6.3%
스 395
 
3.0%
이 213
 
1.6%
동 172
 
1.3%
트 172
 
1.3%
리 171
 
1.3%
원 162
 
1.2%
린 157
 
1.2%
Other values (498) 8132
61.7%
ASCII
ValueCountFrequency (%)
1546
52.5%
1 101
 
3.4%
2 80
 
2.7%
C 67
 
2.3%
B 63
 
2.1%
- 58
 
2.0%
L 58
 
2.0%
) 58
 
2.0%
( 58
 
2.0%
3 54
 
1.8%
Other values (56) 800
27.2%
Number Forms
ValueCountFrequency (%)
Ⅲ 4
80.0%
Ⅱ 1
 
20.0%
None
ValueCountFrequency (%)
㉡ 2
33.3%
㉰ 2
33.3%
㉠ 1
16.7%
㉮ 1
16.7%
CJK
ValueCountFrequency (%)
間 1
25.0%
地 1
25.0%
雲 1
25.0%
羅 1
25.0%

공개공지유형
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
선큰필로티형
6232 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
선큰필로티형 6232
100.0%

Length

2023-12-12T13:08:05.369507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:08:05.585721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
선큰필로티형 6232
100.0%

공개공지면적
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct2309
Distinct (%)39.1%
Missing323
Missing (%)5.2%
Infinite0
Infinite (%)0.0%
Mean7638.424
Minimum0
Maximum42059832
Zeros3140
Zeros (%)50.4%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2023-12-12T13:08:05.792442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3162
95-th percentile1064.66
Maximum42059832
Range42059832
Interquartile range (IQR)162

Descriptive statistics

Standard deviation547322.54
Coefficient of variation (CV)71.653858
Kurtosis5901.4829
Mean7638.424
Median Absolute Deviation (MAD)0
Skewness76.79774
Sum45135447
Variance2.9956197 × 1011
MonotonicityNot monotonic
2023-12-12T13:08:06.072355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 3140
50.4%
45.0 15
 
0.2%
75.0 9
 
0.1%
1.0 8
 
0.1%
50.0 8
 
0.1%
1836.13 8
 
0.1%
30.0 7
 
0.1%
126.0 6
 
0.1%
117.0 6
 
0.1%
37.0 6
 
0.1%
Other values (2299) 2696
43.3%
(Missing) 323
 
5.2%
ValueCountFrequency (%)
0.0 3140
50.4%
0.3 1
 
< 0.1%
1.0 8
 
0.1%
5.0 1
 
< 0.1%
10.0 2
 
< 0.1%
12.0 2
 
< 0.1%
12.38 1
 
< 0.1%
16.75 1
 
< 0.1%
17.41 1
 
< 0.1%
18.0 1
 
< 0.1%
ValueCountFrequency (%)
42059832.0 1
< 0.1%
1005380.0 1
< 0.1%
310528.0 1
< 0.1%
64879.1 1
< 0.1%
56934.0 1
< 0.1%
47000.16 1
< 0.1%
37251.46 1
< 0.1%
26855.7 2
< 0.1%
26128.8 1
< 0.1%
25404.0 1
< 0.1%

준공일
Date

MISSING 

Distinct3498
Distinct (%)60.9%
Missing486
Missing (%)7.8%
Memory size48.8 KiB
Minimum1950-01-14 00:00:00
Maximum2022-12-23 00:00:00
2023-12-12T13:08:06.279454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:08:06.500728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법적근거
Text

MISSING 

Distinct630
Distinct (%)74.2%
Missing5383
Missing (%)86.4%
Memory size48.8 KiB
2023-12-12T13:08:06.851739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length160
Median length41
Mean length27.140165
Min length1

Characters and Unicode

Total characters23042
Distinct characters287
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique548 ?
Unique (%)64.5%

Sample

1st row강릉시 건축조례 제31조에 따른 연면적 1만제곱미터 이상 건축물(업무시설)
2nd row건축법시행령 제31조(건축선)
3rd row속초시 건축조례 제31조 공개공지의 확보 (숙박시설 : 대지면적의 5%이상)
4th row건축법 시행령 제27조의2에 따른 연면적 5,000㎡ 이상 건축물
5th row건축한계선에 따른 건축선
ValueCountFrequency (%)
따른 481
 
10.5%
연면적 232
 
5.1%
후퇴 229
 
5.0%
건축선 218
 
4.8%
건축법 205
 
4.5%
시행령 183
 
4.0%
이상 165
 
3.6%
제27조의2에 154
 
3.4%
3m 131
 
2.9%
5,000㎡ 106
 
2.3%
Other values (839) 2463
53.9%
2023-12-12T13:08:07.469229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3746
 
16.3%
건 957
 
4.2%
축 954
 
4.1%
0 896
 
3.9%
2 715
 
3.1%
지 645
 
2.8%
시 624
 
2.7%
에 588
 
2.6%
따 527
 
2.3%
른 524
 
2.3%
Other values (277) 12866
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14807
64.3%
Space Separator 3747
 
16.3%
Decimal Number 2918
 
12.7%
Other Punctuation 438
 
1.9%
Lowercase Letter 399
 
1.7%
Open Punctuation 235
 
1.0%
Close Punctuation 233
 
1.0%
Other Symbol 185
 
0.8%
Uppercase Letter 46
 
0.2%
Dash Punctuation 18
 
0.1%
Other values (2) 16
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 957
 
6.5%
축 954
 
6.4%
지 645
 
4.4%
시 624
 
4.2%
에 588
 
4.0%
따 527
 
3.6%
른 524
 
3.5%
조 508
 
3.4%
제 469
 
3.2%
구 419
 
2.8%
Other values (245) 8592
58.0%
Decimal Number
ValueCountFrequency (%)
0 896
30.7%
2 715
24.5%
3 332
 
11.4%
5 322
 
11.0%
7 257
 
8.8%
1 212
 
7.3%
6 71
 
2.4%
4 69
 
2.4%
8 24
 
0.8%
9 20
 
0.7%
Other Punctuation
ValueCountFrequency (%)
, 289
66.0%
. 63
 
14.4%
% 48
 
11.0%
: 20
 
4.6%
/ 18
 
4.1%
Math Symbol
ValueCountFrequency (%)
~ 8
66.7%
× 2
 
16.7%
= 1
 
8.3%
+ 1
 
8.3%
Other Number
ValueCountFrequency (%)
① 1
25.0%
③ 1
25.0%
② 1
25.0%
⑤ 1
25.0%
Space Separator
ValueCountFrequency (%)
3746
> 99.9%
　 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
m 397
99.5%
x 2
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 235
100.0%
Close Punctuation
ValueCountFrequency (%)
) 233
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 185
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14807
64.3%
Common 7790
33.8%
Latin 445
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 957
 
6.5%
축 954
 
6.4%
지 645
 
4.4%
시 624
 
4.2%
에 588
 
4.0%
따 527
 
3.6%
른 524
 
3.5%
조 508
 
3.4%
제 469
 
3.2%
구 419
 
2.8%
Other values (245) 8592
58.0%
Common
ValueCountFrequency (%)
3746
48.1%
0 896
 
11.5%
2 715
 
9.2%
3 332
 
4.3%
5 322
 
4.1%
, 289
 
3.7%
7 257
 
3.3%
( 235
 
3.0%
) 233
 
3.0%
1 212
 
2.7%
Other values (19) 553
 
7.1%
Latin
ValueCountFrequency (%)
m 397
89.2%
M 46
 
10.3%
x 2
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14806
64.3%
ASCII 8043
34.9%
CJK Compat 185
 
0.8%
Enclosed Alphanum 4
 
< 0.1%
None 3
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3746
46.6%
0 896
 
11.1%
2 715
 
8.9%
m 397
 
4.9%
3 332
 
4.1%
5 322
 
4.0%
, 289
 
3.6%
7 257
 
3.2%
( 235
 
2.9%
) 233
 
2.9%
Other values (15) 621
 
7.7%
Hangul
ValueCountFrequency (%)
건 957
 
6.5%
축 954
 
6.4%
지 645
 
4.4%
시 624
 
4.2%
에 588
 
4.0%
따 527
 
3.6%
른 524
 
3.5%
조 508
 
3.4%
제 469
 
3.2%
구 419
 
2.8%
Other values (244) 8591
58.0%
CJK Compat
ValueCountFrequency (%)
㎡ 185
100.0%
None
ValueCountFrequency (%)
× 2
66.7%
　 1
33.3%
Enclosed Alphanum
ValueCountFrequency (%)
① 1
25.0%
③ 1
25.0%
② 1
25.0%
⑤ 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

연면적
Real number (ℝ)

MISSING  SKEWED 

Distinct5297
Distinct (%)92.1%
Missing482
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean46690.296
Minimum0
Maximum83374375
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2023-12-12T13:08:07.656762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5422.3612
Q19304.1925
median16394.266
Q331411.003
95-th percentile83447.063
Maximum83374375
Range83374375
Interquartile range (IQR)22106.81

Descriptive statistics

Standard deviation1135868.3
Coefficient of variation (CV)24.327716
Kurtosis5051.5172
Mean46690.296
Median Absolute Deviation (MAD)8604.0935
Skewness69.540171
Sum2.684692 × 108
Variance1.2901967 × 1012
MonotonicityNot monotonic
2023-12-12T13:08:07.835465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22220.5 8
 
0.1%
13578.75 8
 
0.1%
22351.42 5
 
0.1%
5904.36 5
 
0.1%
0.0 5
 
0.1%
5231.47 4
 
0.1%
6923.63 4
 
0.1%
36171.23 3
 
< 0.1%
82587.237 3
 
< 0.1%
114239.95 3
 
< 0.1%
Other values (5287) 5702
91.5%
(Missing) 482
 
7.7%
ValueCountFrequency (%)
0.0 5
0.1%
4.77 1
 
< 0.1%
6.25 1
 
< 0.1%
10.18 1
 
< 0.1%
10.88 1
 
< 0.1%
12.1 1
 
< 0.1%
13.63 1
 
< 0.1%
13.83 1
 
< 0.1%
14.19 1
 
< 0.1%
20.09 1
 
< 0.1%
ValueCountFrequency (%)
83374375.0 1
< 0.1%
15297327.0 2
< 0.1%
459624.6 1
< 0.1%
437728.85 1
< 0.1%
426785.23 1
< 0.1%
385923.72 2
< 0.1%
366263.25 1
< 0.1%
340913.78 2
< 0.1%
325587.41 1
< 0.1%
316151.96 1
< 0.1%

층수
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)1.0%
Missing482
Missing (%)7.7%
Infinite0
Infinite (%)0.0%
Mean13.052522
Minimum0
Maximum69
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size54.9 KiB
2023-12-12T13:08:08.011502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q18
median12
Q317
95-th percentile27
Maximum69
Range69
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.5922819
Coefficient of variation (CV)0.58167165
Kurtosis4.0475554
Mean13.052522
Median Absolute Deviation (MAD)4
Skewness1.4213414
Sum75052
Variance57.642745
MonotonicityNot monotonic
2023-12-12T13:08:08.174034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 705
 
11.3%
10 523
 
8.4%
20 389
 
6.2%
5 337
 
5.4%
8 333
 
5.3%
7 295
 
4.7%
4 292
 
4.7%
14 291
 
4.7%
12 286
 
4.6%
6 236
 
3.8%
Other values (45) 2063
33.1%
(Missing) 482
 
7.7%
ValueCountFrequency (%)
0 6
 
0.1%
1 30
 
0.5%
2 67
 
1.1%
3 154
2.5%
4 292
4.7%
5 337
5.4%
6 236
3.8%
7 295
4.7%
8 333
5.3%
9 232
3.7%
ValueCountFrequency (%)
69 3
< 0.1%
63 1
 
< 0.1%
52 1
 
< 0.1%
51 1
 
< 0.1%
50 1
 
< 0.1%
49 3
< 0.1%
48 2
 
< 0.1%
47 4
0.1%
46 3
< 0.1%
45 6
0.1%

주용도
Categorical

Distinct24
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size48.8 KiB
업무시설
3176 
공동주택
703 
판매시설
654 
숙박시설
352 
종교시설
 
282
Other values (19)
1065 

Length

Max length10
Median length4
Mean length4.2663671
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row숙박시설
2nd row업무시설
3rd row판매시설
4th row판매시설
5th row업무시설

Common Values

ValueCountFrequency (%)
업무시설 3176
51.0%
공동주택 703
 
11.3%
판매시설 654
 
10.5%
숙박시설 352
 
5.6%
종교시설 282
 
4.5%
의료시설 243
 
3.9%
공장 185
 
3.0%
문화및집회시설 153
 
2.5%
제1종근린생활시설 132
 
2.1%
제2종근린생활시설 118
 
1.9%
Other values (14) 234
 
3.8%

Length

2023-12-12T13:08:08.374855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
업무시설 3176
51.0%
공동주택 703
 
11.3%
판매시설 654
 
10.5%
숙박시설 352
 
5.6%
종교시설 282
 
4.5%
의료시설 243
 
3.9%
공장 185
 
3.0%
문화및집회시설 153
 
2.5%
제1종근린생활시설 132
 
2.1%
제2종근린생활시설 118
 
1.9%
Other values (14) 234
 
3.8%

Interactions

2023-12-12T13:08:01.858226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:08:01.055670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:08:01.462483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:08:01.998837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:08:01.195256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:08:01.592698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:08:02.141641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:08:01.331952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:08:01.716238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:08:08.473461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공개공지면적연면적층수주용도
공개공지면적1.0000.0000.0380.000
연면적0.0001.0000.0000.000
층수0.0380.0001.0000.547
주용도0.0000.0000.5471.000
2023-12-12T13:08:08.569008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공개공지면적연면적층수주용도
공개공지면적1.0000.1520.0670.000
연면적0.1521.0000.3730.000
층수0.0670.3731.0000.245
주용도0.0000.0000.2451.000

Missing values

2023-12-12T13:08:02.395398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:08:02.657964image/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.
2023-12-12T13:08:02.846889image/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

주소공개공지명공개공지유형공개공지면적준공일법적근거연면적층수주용도
0강원도 강릉시 강문동 274-1 씨마크호텔(SEAMARQ)<NA>선큰필로티형1531.86<NA><NA><NA><NA>숙박시설
1강원도 강릉시 교동 1783 강릉우편집중국청사<NA>선큰필로티형0.02002-04-09<NA>7359.342업무시설
2강원도 강릉시 송정동 1008-7<NA>선큰필로티형0.02002-12-16<NA>33269.685판매시설
3강원도 강릉시 옥천동 189 씨네몰<NA>선큰필로티형0.02009-04-14<NA>53150.288판매시설
4강원도 강릉시 유천동 776-4 유천올림피아오피스텔유천 올림피아 공개공지선큰필로티형173.32016-10-25강릉시 건축조례 제31조에 따른 연면적 1만제곱미터 이상 건축물(업무시설)12481.77547업무시설
5강원도 강릉시 포남동 1118-4<NA>선큰필로티형346.062015-08-11<NA>8065.114업무시설
6강원도 동해시 망상동 396-18 망상그랜드관광호텔<NA>선큰필로티형0.0<NA><NA><NA><NA>숙박시설
7강원도 동해시 부곡동 129-20<NA>선큰필로티형0.0<NA><NA><NA><NA>업무시설
8강원도 동해시 천곡동 918 동해현진관광호텔현진호텔 공개공지선큰필로티형272.382014-02-25건축법시행령 제31조(건축선)13046.8413숙박시설
9강원도 동해시 효가동 153-1 동성프라자<NA>선큰필로티형0.01997-03-05<NA>7178.283판매시설
주소공개공지명공개공지유형공개공지면적준공일법적근거연면적층수주용도
6222충청북도 청주시 흥덕구 복대동 3381 두산위브지웰시티2차<NA>선큰필로티형0.0<NA><NA><NA><NA>공동주택
6223충청북도 청주시 흥덕구 봉명동 2342 청주서부경찰서<NA>선큰필로티형0.0<NA><NA><NA><NA>업무시설
6224충청북도 청주시 흥덕구 봉명동 757 하이젠시티 (하이젠시티)-선큰필로티형0.02015-08-26미관지구에 따른 건축선 3m 후퇴21249.5320공동주택
6225충청북도 청주시 흥덕구 비하동 784<NA>선큰필로티형0.02008-05-16<NA>6466.5610업무시설
6226충청북도 청주시 흥덕구 비하동 796 현대오피스텔<NA>선큰필로티형0.02003-12-23<NA>11189.5312업무시설
6227충청북도 청주시 흥덕구 오송읍 만수리 531 오송 리움갤러리96<NA>선큰필로티형0.02012-11-09<NA>7413.4114업무시설
6228충청북도 청주시 흥덕구 오송읍 연제리 673드림타워오피스텔 공개공지선큰필로티형36.205<NA><NA><NA><NA><NA>
6229충청북도 청주시 흥덕구 오송읍 연제리 713 밸류호텔 월드와이드 세종시티 (밸류호텔 월드와이드 세종시티)공개공지선큰필로티형160.682017-03-17건축선후퇴거리25298.115숙박시설
6230충청북도 충주시 문화동 1024 충주이-마트<NA>선큰필로티형0.02001-10-17<NA>39074.07판매시설
6231충청북도 충주시 문화동 544 충주 우체국<NA>선큰필로티형0.02013-06-25<NA>12133.26업무시설

Duplicate rows

Most frequently occurring

주소공개공지명공개공지유형공개공지면적준공일법적근거연면적층수주용도# duplicates
350세종특별자치시 아름동 1308 국민건강보험공단 대전세종충청지역본부 사옥 (주건축물제1동)<NA>선큰필로티형<NA>2018-04-27<NA>13578.758업무시설6
20경기도 파주시 문산읍 당동리 880 홈플러스 파주문산점문산 홈플러스선큰필로티형1836.132008-08-26<NA>22220.53판매시설4
27경상남도 창원시 마산합포구 신포동1가 78<NA>선큰필로티형<NA>2013-04-03<NA>22351.4211업무시설4
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