Overview

Dataset statistics

Number of variables21
Number of observations5917
Missing cells25
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory976.7 KiB
Average record size in memory169.0 B

Variable types

Numeric1
Categorical5
Text14
DateTime1

Dataset

Description서초구 건축과 건축허가정보로 대지위치 건축주 건폐율 용적률 연면적 설계사무소 감리사무소 등 건축개요 및 일반사항을 제공합니다.
URLhttps://www.data.go.kr/data/15044753/fileData.do

Alerts

건축구분 has constant value ""Constant
구조 is highly imbalanced (85.1%)Imbalance
주용도 is highly imbalanced (52.2%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:52:45.926244
Analysis finished2023-12-12 12:52:47.648632
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct5917
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2959
Minimum1
Maximum5917
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size52.1 KiB
2023-12-12T21:52:47.716627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile296.8
Q11480
median2959
Q34438
95-th percentile5621.2
Maximum5917
Range5916
Interquartile range (IQR)2958

Descriptive statistics

Standard deviation1708.2351
Coefficient of variation (CV)0.57730149
Kurtosis-1.2
Mean2959
Median Absolute Deviation (MAD)1479
Skewness0
Sum17508403
Variance2918067.2
MonotonicityStrictly increasing
2023-12-12T21:52:48.062435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
3943 1
 
< 0.1%
3952 1
 
< 0.1%
3951 1
 
< 0.1%
3950 1
 
< 0.1%
3949 1
 
< 0.1%
3948 1
 
< 0.1%
3947 1
 
< 0.1%
3946 1
 
< 0.1%
3945 1
 
< 0.1%
Other values (5907) 5907
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
5917 1
< 0.1%
5916 1
< 0.1%
5915 1
< 0.1%
5914 1
< 0.1%
5913 1
< 0.1%
5912 1
< 0.1%
5911 1
< 0.1%
5910 1
< 0.1%
5909 1
< 0.1%
5908 1
< 0.1%

건축구분
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
신축
5917 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
신축 5917
100.0%

Length

2023-12-12T21:52:48.165985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:52:48.243979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 5917
100.0%
Distinct5237
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-12T21:52:48.471678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length3
Mean length5.3953017
Min length2

Characters and Unicode

Total characters31924
Distinct characters542
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4778 ?
Unique (%)80.8%

Sample

1st row(주)글로벌냉동식품
2nd row신대안개발주식회사송광호
3rd row한우리 외 3
4th row주식회사루민
5th row(주)한중
ValueCountFrequency (%)
1827
 
19.1%
1 1029
 
10.7%
2 242
 
2.5%
3 165
 
1.7%
4 62
 
0.6%
5 60
 
0.6%
8 38
 
0.4%
7 36
 
0.4%
9 34
 
0.4%
6 27
 
0.3%
Other values (4950) 6057
63.2%
2023-12-12T21:52:48.910513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3667
 
11.5%
1927
 
6.0%
1 1232
 
3.9%
1122
 
3.5%
1096
 
3.4%
939
 
2.9%
577
 
1.8%
) 501
 
1.6%
( 499
 
1.6%
472
 
1.5%
Other values (532) 19892
62.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25068
78.5%
Space Separator 3667
 
11.5%
Decimal Number 2102
 
6.6%
Close Punctuation 501
 
1.6%
Open Punctuation 499
 
1.6%
Other Punctuation 40
 
0.1%
Lowercase Letter 22
 
0.1%
Uppercase Letter 16
 
0.1%
Dash Punctuation 7
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1927
 
7.7%
1122
 
4.5%
1096
 
4.4%
939
 
3.7%
577
 
2.3%
472
 
1.9%
442
 
1.8%
394
 
1.6%
372
 
1.5%
370
 
1.5%
Other values (487) 17357
69.2%
Lowercase Letter
ValueCountFrequency (%)
n 2
 
9.1%
k 2
 
9.1%
c 2
 
9.1%
d 2
 
9.1%
o 2
 
9.1%
t 2
 
9.1%
i 2
 
9.1%
s 1
 
4.5%
r 1
 
4.5%
u 1
 
4.5%
Other values (5) 5
22.7%
Decimal Number
ValueCountFrequency (%)
1 1232
58.6%
2 301
 
14.3%
3 197
 
9.4%
4 82
 
3.9%
5 79
 
3.8%
8 57
 
2.7%
7 51
 
2.4%
9 46
 
2.2%
6 36
 
1.7%
0 21
 
1.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
12.5%
G 2
12.5%
K 2
12.5%
N 2
12.5%
C 2
12.5%
L 2
12.5%
I 1
6.2%
S 1
6.2%
T 1
6.2%
H 1
6.2%
Other Punctuation
ValueCountFrequency (%)
, 23
57.5%
: 12
30.0%
. 4
 
10.0%
/ 1
 
2.5%
Space Separator
ValueCountFrequency (%)
3667
100.0%
Close Punctuation
ValueCountFrequency (%)
) 501
100.0%
Open Punctuation
ValueCountFrequency (%)
( 499
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25069
78.5%
Common 6817
 
21.4%
Latin 38
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1927
 
7.7%
1122
 
4.5%
1096
 
4.4%
939
 
3.7%
577
 
2.3%
472
 
1.9%
442
 
1.8%
394
 
1.6%
372
 
1.5%
370
 
1.5%
Other values (488) 17358
69.2%
Latin
ValueCountFrequency (%)
n 2
 
5.3%
D 2
 
5.3%
k 2
 
5.3%
G 2
 
5.3%
K 2
 
5.3%
c 2
 
5.3%
d 2
 
5.3%
N 2
 
5.3%
C 2
 
5.3%
o 2
 
5.3%
Other values (15) 18
47.4%
Common
ValueCountFrequency (%)
3667
53.8%
1 1232
 
18.1%
) 501
 
7.3%
( 499
 
7.3%
2 301
 
4.4%
3 197
 
2.9%
4 82
 
1.2%
5 79
 
1.2%
8 57
 
0.8%
7 51
 
0.7%
Other values (9) 151
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25068
78.5%
ASCII 6855
 
21.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3667
53.5%
1 1232
 
18.0%
) 501
 
7.3%
( 499
 
7.3%
2 301
 
4.4%
3 197
 
2.9%
4 82
 
1.2%
5 79
 
1.2%
8 57
 
0.8%
7 51
 
0.7%
Other values (34) 189
 
2.8%
Hangul
ValueCountFrequency (%)
1927
 
7.7%
1122
 
4.5%
1096
 
4.4%
939
 
3.7%
577
 
2.3%
472
 
1.9%
442
 
1.8%
394
 
1.6%
372
 
1.5%
370
 
1.5%
Other values (487) 17357
69.2%
None
ValueCountFrequency (%)
1
100.0%
Distinct5789
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-12T21:52:49.083394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length34
Mean length20.309278
Min length5

Characters and Unicode

Total characters120170
Distinct characters70
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5665 ?
Unique (%)95.7%

Sample

1st row서울특별시 서초구 내곡동 164-17
2nd row서울특별시 서초구 서초동 1508-20
3rd row서울특별시 서초구 염곡동 213
4th row서울특별시 서초구 방배동 783-4
5th row서울특별시 서초구 방배동 913-8 외1필지
ValueCountFrequency (%)
서초구 5919
24.1%
서울특별시 5916
24.0%
방배동 2114
 
8.6%
서초동 1448
 
5.9%
양재동 909
 
3.7%
반포동 679
 
2.8%
외1필지 653
 
2.7%
잠원동 229
 
0.9%
우면동 189
 
0.8%
외2필지 140
 
0.6%
Other values (5631) 6405
26.0%
2023-12-12T21:52:49.376759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18686
15.5%
13285
 
11.1%
7368
 
6.1%
1 6169
 
5.1%
5944
 
4.9%
5918
 
4.9%
5917
 
4.9%
5916
 
4.9%
5916
 
4.9%
5912
 
4.9%
Other values (60) 39139
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68036
56.6%
Decimal Number 27770
23.1%
Space Separator 18686
 
15.5%
Dash Punctuation 5677
 
4.7%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13285
19.5%
7368
10.8%
5944
8.7%
5918
8.7%
5917
8.7%
5916
8.7%
5916
8.7%
5912
8.7%
2114
 
3.1%
2114
 
3.1%
Other values (47) 7632
11.2%
Decimal Number
ValueCountFrequency (%)
1 6169
22.2%
2 3187
11.5%
3 2875
10.4%
7 2498
9.0%
4 2428
 
8.7%
5 2407
 
8.7%
8 2290
 
8.2%
6 2216
 
8.0%
9 2033
 
7.3%
0 1667
 
6.0%
Space Separator
ValueCountFrequency (%)
18686
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5677
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68036
56.6%
Common 52133
43.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
13285
19.5%
7368
10.8%
5944
8.7%
5918
8.7%
5917
8.7%
5916
8.7%
5916
8.7%
5912
8.7%
2114
 
3.1%
2114
 
3.1%
Other values (47) 7632
11.2%
Common
ValueCountFrequency (%)
18686
35.8%
1 6169
 
11.8%
- 5677
 
10.9%
2 3187
 
6.1%
3 2875
 
5.5%
7 2498
 
4.8%
4 2428
 
4.7%
5 2407
 
4.6%
8 2290
 
4.4%
6 2216
 
4.3%
Other values (2) 3700
 
7.1%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68036
56.6%
ASCII 52134
43.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18686
35.8%
1 6169
 
11.8%
- 5677
 
10.9%
2 3187
 
6.1%
3 2875
 
5.5%
7 2498
 
4.8%
4 2428
 
4.7%
5 2407
 
4.6%
8 2290
 
4.4%
6 2216
 
4.3%
Other values (3) 3701
 
7.1%
Hangul
ValueCountFrequency (%)
13285
19.5%
7368
10.8%
5944
8.7%
5918
8.7%
5917
8.7%
5916
8.7%
5916
8.7%
5912
8.7%
2114
 
3.1%
2114
 
3.1%
Other values (47) 7632
11.2%
Distinct3440
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-12T21:52:49.775527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length4.6709481
Min length2

Characters and Unicode

Total characters27638
Distinct characters19
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

Unique2195 ?
Unique (%)37.1%

Sample

1st row398
2nd row206.1
3rd row454.6
4th row170.7
5th row384
ValueCountFrequency (%)
165.3 16
 
0.3%
330 15
 
0.3%
238 14
 
0.2%
165.6 13
 
0.2%
182 13
 
0.2%
225 12
 
0.2%
165.4 12
 
0.2%
332 12
 
0.2%
182.1 11
 
0.2%
344 10
 
0.2%
Other values (3431) 5792
97.8%
2023-12-12T21:52:50.418932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 4603
16.7%
2 3591
13.0%
1 3209
11.6%
3 3164
11.4%
4 2204
8.0%
6 2153
7.8%
5 1994
7.2%
9 1839
 
6.7%
7 1801
 
6.5%
8 1798
 
6.5%
Other values (9) 1282
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23011
83.3%
Other Punctuation 4603
 
16.7%
Other Letter 21
 
0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 3591
15.6%
1 3209
13.9%
3 3164
13.7%
4 2204
9.6%
6 2153
9.4%
5 1994
8.7%
9 1839
8.0%
7 1801
7.8%
8 1798
7.8%
0 1258
 
5.5%
Other Letter
ValueCountFrequency (%)
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
Other Punctuation
ValueCountFrequency (%)
. 4603
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27617
99.9%
Hangul 21
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 4603
16.7%
2 3591
13.0%
1 3209
11.6%
3 3164
11.5%
4 2204
8.0%
6 2153
7.8%
5 1994
7.2%
9 1839
 
6.7%
7 1801
 
6.5%
8 1798
 
6.5%
Other values (2) 1261
 
4.6%
Hangul
ValueCountFrequency (%)
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27617
99.9%
Hangul 21
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 4603
16.7%
2 3591
13.0%
1 3209
11.6%
3 3164
11.5%
4 2204
8.0%
6 2153
7.8%
5 1994
7.2%
9 1839
 
6.7%
7 1801
 
6.5%
8 1798
 
6.5%
Other values (2) 1261
 
4.6%
Hangul
ValueCountFrequency (%)
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
Distinct5102
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-12T21:52:50.896366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.7121852
Min length1

Characters and Unicode

Total characters33799
Distinct characters19
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

Unique4420 ?
Unique (%)74.7%

Sample

1st row198.98
2nd row121.84
3rd row165.12
4th row85.24
5th row184.14
ValueCountFrequency (%)
99 7
 
0.1%
96 5
 
0.1%
100.8 5
 
0.1%
110 5
 
0.1%
247.45 5
 
0.1%
98 5
 
0.1%
194.84 5
 
0.1%
138.24 4
 
0.1%
138.6 4
 
0.1%
134.89 4
 
0.1%
Other values (5093) 5871
99.2%
2023-12-12T21:52:51.502761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5767
17.1%
1 5724
16.9%
2 3287
9.7%
4 2650
7.8%
9 2560
7.6%
8 2545
7.5%
3 2545
7.5%
6 2361
7.0%
5 2325
6.9%
7 2238
 
6.6%
Other values (9) 1797
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28008
82.9%
Other Punctuation 5767
 
17.1%
Other Letter 21
 
0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5724
20.4%
2 3287
11.7%
4 2650
9.5%
9 2560
9.1%
8 2545
9.1%
3 2545
9.1%
6 2361
8.4%
5 2325
8.3%
7 2238
 
8.0%
0 1773
 
6.3%
Other Letter
ValueCountFrequency (%)
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5767
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33778
99.9%
Hangul 21
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5767
17.1%
1 5724
16.9%
2 3287
9.7%
4 2650
7.8%
9 2560
7.6%
8 2545
7.5%
3 2545
7.5%
6 2361
7.0%
5 2325
6.9%
7 2238
 
6.6%
Other values (2) 1776
 
5.3%
Hangul
ValueCountFrequency (%)
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33778
99.9%
Hangul 21
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5767
17.1%
1 5724
16.9%
2 3287
9.7%
4 2650
7.8%
9 2560
7.6%
8 2545
7.5%
3 2545
7.5%
6 2361
7.0%
5 2325
6.9%
7 2238
 
6.6%
Other values (2) 1776
 
5.3%
Hangul
ValueCountFrequency (%)
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
3
14.3%
Distinct5625
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-12T21:52:51.911212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length6.1678215
Min length3

Characters and Unicode

Total characters36495
Distinct characters19
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

Unique5382 ?
Unique (%)91.0%

Sample

1st row533.38
2nd row442.631
3rd row297.39
4th row418.43
5th row593.97
ValueCountFrequency (%)
659.49 7
 
0.1%
659.98 6
 
0.1%
659.78 5
 
0.1%
659.84 5
 
0.1%
659.94 4
 
0.1%
659.66 4
 
0.1%
298.73 4
 
0.1%
401.74 4
 
0.1%
658.8 4
 
0.1%
659.82 4
 
0.1%
Other values (5616) 5872
99.2%
2023-12-12T21:52:52.493530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5824
16.0%
4 3587
9.8%
3 3503
9.6%
1 3463
9.5%
5 3364
9.2%
2 3261
8.9%
6 3184
8.7%
9 3044
8.3%
8 2797
7.7%
7 2664
7.3%
Other values (9) 1804
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 30655
84.0%
Other Punctuation 5824
 
16.0%
Other Letter 14
 
< 0.1%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 3587
11.7%
3 3503
11.4%
1 3463
11.3%
5 3364
11.0%
2 3261
10.6%
6 3184
10.4%
9 3044
9.9%
8 2797
9.1%
7 2664
8.7%
0 1788
5.8%
Other Letter
ValueCountFrequency (%)
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5824
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36481
> 99.9%
Hangul 14
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5824
16.0%
4 3587
9.8%
3 3503
9.6%
1 3463
9.5%
5 3364
9.2%
2 3261
8.9%
6 3184
8.7%
9 3044
8.3%
8 2797
7.7%
7 2664
7.3%
Other values (2) 1790
 
4.9%
Hangul
ValueCountFrequency (%)
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36481
> 99.9%
Hangul 14
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5824
16.0%
4 3587
9.8%
3 3503
9.6%
1 3463
9.5%
5 3364
9.2%
2 3261
8.9%
6 3184
8.7%
9 3044
8.3%
8 2797
7.7%
7 2664
7.3%
Other values (2) 1790
 
4.9%
Hangul
ValueCountFrequency (%)
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
2
14.3%
Distinct2081
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-12T21:52:52.853529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length5
Mean length5.1034308
Min length1

Characters and Unicode

Total characters30197
Distinct characters19
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

Unique1361 ?
Unique (%)23.0%

Sample

1st row49.995
2nd row59.1169
3rd row36.32
4th row49.94
5th row47.95
ValueCountFrequency (%)
59.95 71
 
1.2%
59.94 64
 
1.1%
59.93 61
 
1.0%
59.99 60
 
1.0%
59.92 58
 
1.0%
59.98 57
 
1.0%
59.96 57
 
1.0%
59.88 56
 
0.9%
59.97 55
 
0.9%
59.8 49
 
0.8%
Other values (2072) 5338
90.1%
2023-12-12T21:52:53.286565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 5902
19.5%
. 5867
19.4%
9 5192
17.2%
4 2617
8.7%
8 2479
8.2%
7 1840
 
6.1%
6 1603
 
5.3%
3 1535
 
5.1%
2 1325
 
4.4%
1 1215
 
4.0%
Other values (9) 622
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24258
80.3%
Other Punctuation 5867
 
19.4%
Other Letter 63
 
0.2%
Space Separator 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 5902
24.3%
9 5192
21.4%
4 2617
10.8%
8 2479
10.2%
7 1840
 
7.6%
6 1603
 
6.6%
3 1535
 
6.3%
2 1325
 
5.5%
1 1215
 
5.0%
0 550
 
2.3%
Other Letter
ValueCountFrequency (%)
9
14.3%
9
14.3%
9
14.3%
9
14.3%
9
14.3%
9
14.3%
9
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5867
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30134
99.8%
Hangul 63
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
5 5902
19.6%
. 5867
19.5%
9 5192
17.2%
4 2617
8.7%
8 2479
8.2%
7 1840
 
6.1%
6 1603
 
5.3%
3 1535
 
5.1%
2 1325
 
4.4%
1 1215
 
4.0%
Other values (2) 559
 
1.9%
Hangul
ValueCountFrequency (%)
9
14.3%
9
14.3%
9
14.3%
9
14.3%
9
14.3%
9
14.3%
9
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30134
99.8%
Hangul 63
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 5902
19.6%
. 5867
19.5%
9 5192
17.2%
4 2617
8.7%
8 2479
8.2%
7 1840
 
6.1%
6 1603
 
5.3%
3 1535
 
5.1%
2 1325
 
4.4%
1 1215
 
4.0%
Other values (2) 559
 
1.9%
Hangul
ValueCountFrequency (%)
9
14.3%
9
14.3%
9
14.3%
9
14.3%
9
14.3%
9
14.3%
9
14.3%
Distinct4698
Distinct (%)79.4%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-12T21:52:53.667016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.9702552
Min length1

Characters and Unicode

Total characters35326
Distinct characters19
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

Unique4066 ?
Unique (%)68.7%

Sample

1st row70.9246
2nd row199.6327
3rd row65.42
4th row245.13
5th row154.68
ValueCountFrequency (%)
199.97 21
 
0.4%
199.93 19
 
0.3%
199.92 18
 
0.3%
199.87 16
 
0.3%
199.98 16
 
0.3%
199.96 14
 
0.2%
199.94 14
 
0.2%
199.86 13
 
0.2%
199.95 13
 
0.2%
199.8 13
 
0.2%
Other values (4689) 5766
97.3%
2023-12-12T21:52:54.210981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5859
16.6%
9 5184
14.7%
1 4623
13.1%
2 4203
11.9%
8 2725
7.7%
7 2476
7.0%
4 2463
7.0%
6 2203
 
6.2%
5 2152
 
6.1%
3 2128
 
6.0%
Other values (9) 1310
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29419
83.3%
Other Punctuation 5859
 
16.6%
Other Letter 42
 
0.1%
Space Separator 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
9 5184
17.6%
1 4623
15.7%
2 4203
14.3%
8 2725
9.3%
7 2476
8.4%
4 2463
8.4%
6 2203
7.5%
5 2152
7.3%
3 2128
7.2%
0 1262
 
4.3%
Other Letter
ValueCountFrequency (%)
6
14.3%
6
14.3%
6
14.3%
6
14.3%
6
14.3%
6
14.3%
6
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5859
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 35284
99.9%
Hangul 42
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5859
16.6%
9 5184
14.7%
1 4623
13.1%
2 4203
11.9%
8 2725
7.7%
7 2476
7.0%
4 2463
7.0%
6 2203
 
6.2%
5 2152
 
6.1%
3 2128
 
6.0%
Other values (2) 1268
 
3.6%
Hangul
ValueCountFrequency (%)
6
14.3%
6
14.3%
6
14.3%
6
14.3%
6
14.3%
6
14.3%
6
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 35284
99.9%
Hangul 42
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5859
16.6%
9 5184
14.7%
1 4623
13.1%
2 4203
11.9%
8 2725
7.7%
7 2476
7.0%
4 2463
7.0%
6 2203
 
6.2%
5 2152
 
6.1%
3 2128
 
6.0%
Other values (2) 1268
 
3.6%
Hangul
ValueCountFrequency (%)
6
14.3%
6
14.3%
6
14.3%
6
14.3%
6
14.3%
6
14.3%
6
14.3%

구조
Categorical

IMBALANCE 

Distinct15
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
철근콘크리트구조
5453 
일반철골구조
 
206
철골철근콘크리트구조
 
126
경량철골구조
 
31
철골콘크리트구조
 
29
Other values (10)
 
72

Length

Max length12
Median length8
Mean length7.9408484
Min length4

Unique

Unique3 ?
Unique (%)0.1%

Sample

1st row철근콘크리트구조
2nd row철근콘크리트구조
3rd row철근콘크리트구조
4th row철근콘크리트구조
5th row일반철골구조

Common Values

ValueCountFrequency (%)
철근콘크리트구조 5453
92.2%
일반철골구조 206
 
3.5%
철골철근콘크리트구조 126
 
2.1%
경량철골구조 31
 
0.5%
철골콘크리트구조 29
 
0.5%
일반목구조 23
 
0.4%
데이터 미집계등 21
 
0.4%
벽돌구조 13
 
0.2%
기타조적구조 6
 
0.1%
철골철근콘크리트합성구조 2
 
< 0.1%
Other values (5) 7
 
0.1%

Length

2023-12-12T21:52:54.359373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
철근콘크리트구조 5453
91.8%
일반철골구조 206
 
3.5%
철골철근콘크리트구조 126
 
2.1%
경량철골구조 31
 
0.5%
철골콘크리트구조 29
 
0.5%
일반목구조 23
 
0.4%
데이터 21
 
0.4%
미집계등 21
 
0.4%
벽돌구조 13
 
0.2%
기타조적구조 6
 
0.1%
Other values (6) 9
 
0.2%
Distinct3120
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-12T21:52:54.652997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.99831
Min length6

Characters and Unicode

Total characters59160
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

Unique1795 ?
Unique (%)30.3%

Sample

1st row2022-09-08
2nd row2022-08-04
3rd row2022-07-21
4th row2022-07-21
5th row2022-07-13
ValueCountFrequency (%)
2003-06-26 63
 
1.1%
2003-06-30 52
 
0.9%
2003-06-28 42
 
0.7%
2003-06-23 39
 
0.7%
2003-06-27 32
 
0.5%
2003-06-25 24
 
0.4%
2001-07-06 17
 
0.3%
2002-03-26 14
 
0.2%
2003-06-20 13
 
0.2%
2003-06-19 12
 
0.2%
Other values (3110) 5609
94.8%
2023-12-12T21:52:55.178424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16899
28.6%
- 11834
20.0%
2 10576
17.9%
1 7770
13.1%
3 2332
 
3.9%
6 1937
 
3.3%
9 1741
 
2.9%
7 1620
 
2.7%
4 1511
 
2.6%
5 1501
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 47326
80.0%
Dash Punctuation 11834
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16899
35.7%
2 10576
22.3%
1 7770
16.4%
3 2332
 
4.9%
6 1937
 
4.1%
9 1741
 
3.7%
7 1620
 
3.4%
4 1511
 
3.2%
5 1501
 
3.2%
8 1439
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 11834
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 59160
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16899
28.6%
- 11834
20.0%
2 10576
17.9%
1 7770
13.1%
3 2332
 
3.9%
6 1937
 
3.3%
9 1741
 
2.9%
7 1620
 
2.7%
4 1511
 
2.6%
5 1501
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 59160
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16899
28.6%
- 11834
20.0%
2 10576
17.9%
1 7770
13.1%
3 2332
 
3.9%
6 1937
 
3.3%
9 1741
 
2.9%
7 1620
 
2.7%
4 1511
 
2.6%
5 1501
 
2.5%
Distinct3137
Distinct (%)53.0%
Missing2
Missing (%)< 0.1%
Memory size46.4 KiB
2023-12-12T21:52:55.564239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9076923
Min length6

Characters and Unicode

Total characters58604
Distinct characters19
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

Unique1889 ?
Unique (%)31.9%

Sample

1st row2022-10-24
2nd row2022-11-22
3rd row2022-09-20
4th row2022-09-21
5th row2022-08-01
ValueCountFrequency (%)
데이터 270
 
4.4%
미집계등 270
 
4.4%
2003-06-28 92
 
1.5%
2003-07-01 61
 
1.0%
2003-06-26 48
 
0.8%
2003-06-29 46
 
0.7%
2003-06-27 21
 
0.3%
2003-06-24 15
 
0.2%
2003-07-12 14
 
0.2%
2003-07-02 12
 
0.2%
Other values (3128) 5336
86.3%
2023-12-12T21:52:56.090844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16430
28.0%
- 11290
19.3%
2 10366
17.7%
1 6881
11.7%
3 2320
 
4.0%
6 1748
 
3.0%
4 1620
 
2.8%
5 1513
 
2.6%
7 1461
 
2.5%
8 1433
 
2.4%
Other values (9) 3542
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 45154
77.0%
Dash Punctuation 11290
 
19.3%
Other Letter 1890
 
3.2%
Space Separator 270
 
0.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16430
36.4%
2 10366
23.0%
1 6881
15.2%
3 2320
 
5.1%
6 1748
 
3.9%
4 1620
 
3.6%
5 1513
 
3.4%
7 1461
 
3.2%
8 1433
 
3.2%
9 1382
 
3.1%
Other Letter
ValueCountFrequency (%)
270
14.3%
270
14.3%
270
14.3%
270
14.3%
270
14.3%
270
14.3%
270
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 11290
100.0%
Space Separator
ValueCountFrequency (%)
270
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 56714
96.8%
Hangul 1890
 
3.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16430
29.0%
- 11290
19.9%
2 10366
18.3%
1 6881
12.1%
3 2320
 
4.1%
6 1748
 
3.1%
4 1620
 
2.9%
5 1513
 
2.7%
7 1461
 
2.6%
8 1433
 
2.5%
Other values (2) 1652
 
2.9%
Hangul
ValueCountFrequency (%)
270
14.3%
270
14.3%
270
14.3%
270
14.3%
270
14.3%
270
14.3%
270
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 56714
96.8%
Hangul 1890
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16430
29.0%
- 11290
19.9%
2 10366
18.3%
1 6881
12.1%
3 2320
 
4.1%
6 1748
 
3.1%
4 1620
 
2.9%
5 1513
 
2.7%
7 1461
 
2.6%
8 1433
 
2.5%
Other values (2) 1652
 
2.9%
Hangul
ValueCountFrequency (%)
270
14.3%
270
14.3%
270
14.3%
270
14.3%
270
14.3%
270
14.3%
270
14.3%
Distinct3383
Distinct (%)57.2%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
Minimum1987-06-01 00:00:00
Maximum2023-08-16 00:00:00
2023-12-12T21:52:56.278270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:52:56.455167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct34
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
5
2366 
4
964 
6
864 
2
560 
3
339 
Other values (29)
824 

Length

Max length8
Median length1
Mean length1.0826432
Min length1

Unique

Unique4 ?
Unique (%)0.1%

Sample

1st row2
2nd row6
3rd row3
4th row5
5th row4

Common Values

ValueCountFrequency (%)
5 2366
40.0%
4 964
16.3%
6 864
 
14.6%
2 560
 
9.5%
3 339
 
5.7%
7 289
 
4.9%
1 71
 
1.2%
8 61
 
1.0%
9 58
 
1.0%
10 56
 
0.9%
Other values (24) 289
 
4.9%

Length

2023-12-12T21:52:56.629655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
5 2366
39.8%
4 964
16.2%
6 864
 
14.5%
2 560
 
9.4%
3 339
 
5.7%
7 289
 
4.9%
1 71
 
1.2%
8 61
 
1.0%
9 58
 
1.0%
10 56
 
0.9%
Other values (25) 313
 
5.3%
Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
1
2344 
0
2072 
데이터 미집계등
647 
2
506 
3
 
144
Other values (7)
 
204

Length

Max length8
Median length1
Mean length1.7655907
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1 2344
39.6%
0 2072
35.0%
데이터 미집계등 647
 
10.9%
2 506
 
8.6%
3 144
 
2.4%
4 90
 
1.5%
5 56
 
0.9%
6 25
 
0.4%
7 21
 
0.4%
8 10
 
0.2%
Other values (2) 2
 
< 0.1%

Length

2023-12-12T21:52:56.801151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
1 2344
35.7%
0 2072
31.6%
데이터 647
 
9.9%
미집계등 647
 
9.9%
2 506
 
7.7%
3 144
 
2.2%
4 90
 
1.4%
5 56
 
0.9%
6 25
 
0.4%
7 21
 
0.3%
Other values (3) 12
 
0.2%
Distinct1453
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-12T21:52:57.312524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.1899611
Min length1

Characters and Unicode

Total characters24792
Distinct characters19
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

Unique853 ?
Unique (%)14.4%

Sample

1st row7.74
2nd row19.8
3rd row14.1
4th row18
5th row12.5
ValueCountFrequency (%)
13.2 100
 
1.7%
데이터 86
 
1.4%
미집계등 86
 
1.4%
14.4 73
 
1.2%
13.3 71
 
1.2%
13.1 67
 
1.1%
13.4 65
 
1.1%
14.2 64
 
1.1%
14.5 62
 
1.0%
14.3 61
 
1.0%
Other values (1444) 5268
87.8%
2023-12-12T21:52:58.003328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 5418
21.9%
1 5309
21.4%
5 2408
9.7%
2 1864
 
7.5%
3 1769
 
7.1%
4 1637
 
6.6%
7 1329
 
5.4%
9 1287
 
5.2%
6 1240
 
5.0%
8 1165
 
4.7%
Other values (9) 1366
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18686
75.4%
Other Punctuation 5418
 
21.9%
Other Letter 602
 
2.4%
Space Separator 86
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5309
28.4%
5 2408
12.9%
2 1864
 
10.0%
3 1769
 
9.5%
4 1637
 
8.8%
7 1329
 
7.1%
9 1287
 
6.9%
6 1240
 
6.6%
8 1165
 
6.2%
0 678
 
3.6%
Other Letter
ValueCountFrequency (%)
86
14.3%
86
14.3%
86
14.3%
86
14.3%
86
14.3%
86
14.3%
86
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5418
100.0%
Space Separator
ValueCountFrequency (%)
86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24190
97.6%
Hangul 602
 
2.4%

Most frequent character per script

Common
ValueCountFrequency (%)
. 5418
22.4%
1 5309
21.9%
5 2408
10.0%
2 1864
 
7.7%
3 1769
 
7.3%
4 1637
 
6.8%
7 1329
 
5.5%
9 1287
 
5.3%
6 1240
 
5.1%
8 1165
 
4.8%
Other values (2) 764
 
3.2%
Hangul
ValueCountFrequency (%)
86
14.3%
86
14.3%
86
14.3%
86
14.3%
86
14.3%
86
14.3%
86
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24190
97.6%
Hangul 602
 
2.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 5418
22.4%
1 5309
21.9%
5 2408
10.0%
2 1864
 
7.7%
3 1769
 
7.3%
4 1637
 
6.8%
7 1329
 
5.5%
9 1287
 
5.3%
6 1240
 
5.1%
8 1165
 
4.8%
Other values (2) 764
 
3.2%
Hangul
ValueCountFrequency (%)
86
14.3%
86
14.3%
86
14.3%
86
14.3%
86
14.3%
86
14.3%
86
14.3%

주용도
Categorical

IMBALANCE 

Distinct26
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
공동주택
2925 
제2종근린생활시설
1072 
단독주택
950 
제1종근린생활시설
341 
업무시설
334 
Other values (21)
295 

Length

Max length10
Median length4
Mean length5.297448
Min length4

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
공동주택 2925
49.4%
제2종근린생활시설 1072
 
18.1%
단독주택 950
 
16.1%
제1종근린생활시설 341
 
5.8%
업무시설 334
 
5.6%
자동차관련시설 51
 
0.9%
교육연구시설 35
 
0.6%
숙박시설 34
 
0.6%
문화및집회시설 31
 
0.5%
교육연구및복지시설 28
 
0.5%
Other values (16) 116
 
2.0%

Length

2023-12-12T21:52:58.146639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
공동주택 2925
49.4%
제2종근린생활시설 1072
 
18.1%
단독주택 950
 
16.0%
제1종근린생활시설 341
 
5.8%
업무시설 334
 
5.6%
자동차관련시설 51
 
0.9%
교육연구시설 35
 
0.6%
숙박시설 34
 
0.6%
문화및집회시설 31
 
0.5%
교육연구및복지시설 28
 
0.5%
Other values (17) 121
 
2.0%
Distinct1280
Distinct (%)21.7%
Missing17
Missing (%)0.3%
Memory size46.4 KiB
2023-12-12T21:52:58.345505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length8.8727119
Min length2

Characters and Unicode

Total characters52349
Distinct characters207
Distinct categories9 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique968 ?
Unique (%)16.4%

Sample

1st row단독주택
2nd row다세대주택
3rd row단독주택
4th row사무소
5th row사무소
ValueCountFrequency (%)
다세대주택 1568
22.2%
미집계등 452
 
6.4%
데이터 452
 
6.4%
아파트 404
 
5.7%
다가구주택 391
 
5.5%
근린생활시설 195
 
2.8%
사무소 190
 
2.7%
153
 
2.2%
단독주택 145
 
2.1%
다세대 89
 
1.3%
Other values (1078) 3014
42.7%
2023-12-12T21:52:58.697276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3721
 
7.1%
3682
 
7.0%
3131
 
6.0%
2470
 
4.7%
2464
 
4.7%
2130
 
4.1%
, 1977
 
3.8%
1874
 
3.6%
1807
 
3.5%
1756
 
3.4%
Other values (197) 27337
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45528
87.0%
Other Punctuation 2189
 
4.2%
Decimal Number 1545
 
3.0%
Space Separator 1169
 
2.2%
Open Punctuation 899
 
1.7%
Close Punctuation 899
 
1.7%
Dash Punctuation 108
 
0.2%
Math Symbol 11
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3721
 
8.2%
3682
 
8.1%
3131
 
6.9%
2470
 
5.4%
2464
 
5.4%
2130
 
4.7%
1874
 
4.1%
1807
 
4.0%
1756
 
3.9%
1513
 
3.3%
Other values (174) 20980
46.1%
Decimal Number
ValueCountFrequency (%)
1 720
46.6%
2 633
41.0%
8 38
 
2.5%
6 37
 
2.4%
4 26
 
1.7%
0 25
 
1.6%
7 19
 
1.2%
3 18
 
1.2%
9 16
 
1.0%
5 13
 
0.8%
Other Punctuation
ValueCountFrequency (%)
, 1977
90.3%
. 119
 
5.4%
/ 90
 
4.1%
: 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 893
99.3%
[ 6
 
0.7%
Close Punctuation
ValueCountFrequency (%)
) 892
99.2%
] 7
 
0.8%
Math Symbol
ValueCountFrequency (%)
+ 9
81.8%
~ 2
 
18.2%
Space Separator
ValueCountFrequency (%)
1169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45528
87.0%
Common 6821
 
13.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3721
 
8.2%
3682
 
8.1%
3131
 
6.9%
2470
 
5.4%
2464
 
5.4%
2130
 
4.7%
1874
 
4.1%
1807
 
4.0%
1756
 
3.9%
1513
 
3.3%
Other values (174) 20980
46.1%
Common
ValueCountFrequency (%)
, 1977
29.0%
1169
17.1%
( 893
13.1%
) 892
13.1%
1 720
 
10.6%
2 633
 
9.3%
. 119
 
1.7%
- 108
 
1.6%
/ 90
 
1.3%
8 38
 
0.6%
Other values (13) 182
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45528
87.0%
ASCII 6821
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3721
 
8.2%
3682
 
8.1%
3131
 
6.9%
2470
 
5.4%
2464
 
5.4%
2130
 
4.7%
1874
 
4.1%
1807
 
4.0%
1756
 
3.9%
1513
 
3.3%
Other values (174) 20980
46.1%
ASCII
ValueCountFrequency (%)
, 1977
29.0%
1169
17.1%
( 893
13.1%
) 892
13.1%
1 720
 
10.6%
2 633
 
9.3%
. 119
 
1.7%
- 108
 
1.6%
/ 90
 
1.3%
8 38
 
0.6%
Other values (13) 182
 
2.7%
Distinct3047
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size46.4 KiB
2023-12-12T21:52:58.947570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length19
Mean length10.924793
Min length2

Characters and Unicode

Total characters64642
Distinct characters462
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

Unique2113 ?
Unique (%)35.7%

Sample

1st row종합건축사사무소 가인 에스앤케이
2nd row건축사사무소서은
3rd row신한건축사사무소
4th row(주)오픈스케일건축사사무소
5th row(주)종합건축사사무소반도건축
ValueCountFrequency (%)
건축사사무소 858
 
11.0%
종합건축사사무소 183
 
2.3%
사무소 164
 
2.1%
주)건축사사무소 147
 
1.9%
주)종합건축사사무소 116
 
1.5%
주식회사 112
 
1.4%
건축사 106
 
1.4%
주)국전건축사사무소 66
 
0.8%
주)도시예일종합건축사사무소 59
 
0.8%
미집계등 54
 
0.7%
Other values (2929) 5960
76.2%
2023-12-12T21:52:59.308044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11247
17.4%
6292
 
9.7%
6141
 
9.5%
5595
 
8.7%
5563
 
8.6%
2684
 
4.2%
) 2506
 
3.9%
( 2471
 
3.8%
1932
 
3.0%
1398
 
2.2%
Other values (452) 18813
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 56628
87.6%
Close Punctuation 2506
 
3.9%
Open Punctuation 2471
 
3.8%
Space Separator 1932
 
3.0%
Uppercase Letter 570
 
0.9%
Decimal Number 262
 
0.4%
Other Punctuation 209
 
0.3%
Lowercase Letter 59
 
0.1%
Other Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11247
19.9%
6292
11.1%
6141
10.8%
5595
 
9.9%
5563
 
9.8%
2684
 
4.7%
1398
 
2.5%
1397
 
2.5%
912
 
1.6%
441
 
0.8%
Other values (393) 14958
26.4%
Uppercase Letter
ValueCountFrequency (%)
A 104
18.2%
N 66
11.6%
S 65
11.4%
C 45
7.9%
G 41
 
7.2%
D 38
 
6.7%
I 33
 
5.8%
J 28
 
4.9%
M 23
 
4.0%
E 15
 
2.6%
Other values (15) 112
19.6%
Lowercase Letter
ValueCountFrequency (%)
s 12
20.3%
n 9
15.3%
a 8
13.6%
c 7
11.9%
h 3
 
5.1%
u 3
 
5.1%
i 3
 
5.1%
p 2
 
3.4%
t 2
 
3.4%
e 2
 
3.4%
Other values (7) 8
13.6%
Decimal Number
ValueCountFrequency (%)
1 127
48.5%
2 125
47.7%
3 4
 
1.5%
5 2
 
0.8%
6 1
 
0.4%
0 1
 
0.4%
7 1
 
0.4%
4 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 134
64.1%
& 58
27.8%
, 15
 
7.2%
· 1
 
0.5%
/ 1
 
0.5%
Close Punctuation
ValueCountFrequency (%)
) 2506
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2471
100.0%
Space Separator
ValueCountFrequency (%)
1932
100.0%
Other Symbol
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 56633
87.6%
Common 7380
 
11.4%
Latin 629
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11247
19.9%
6292
11.1%
6141
10.8%
5595
 
9.9%
5563
 
9.8%
2684
 
4.7%
1398
 
2.5%
1397
 
2.5%
912
 
1.6%
441
 
0.8%
Other values (394) 14963
26.4%
Latin
ValueCountFrequency (%)
A 104
16.5%
N 66
 
10.5%
S 65
 
10.3%
C 45
 
7.2%
G 41
 
6.5%
D 38
 
6.0%
I 33
 
5.2%
J 28
 
4.5%
M 23
 
3.7%
E 15
 
2.4%
Other values (32) 171
27.2%
Common
ValueCountFrequency (%)
) 2506
34.0%
( 2471
33.5%
1932
26.2%
. 134
 
1.8%
1 127
 
1.7%
2 125
 
1.7%
& 58
 
0.8%
, 15
 
0.2%
3 4
 
0.1%
5 2
 
< 0.1%
Other values (6) 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 56628
87.6%
ASCII 8008
 
12.4%
None 6
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11247
19.9%
6292
11.1%
6141
10.8%
5595
 
9.9%
5563
 
9.8%
2684
 
4.7%
1398
 
2.5%
1397
 
2.5%
912
 
1.6%
441
 
0.8%
Other values (393) 14958
26.4%
ASCII
ValueCountFrequency (%)
) 2506
31.3%
( 2471
30.9%
1932
24.1%
. 134
 
1.7%
1 127
 
1.6%
2 125
 
1.6%
A 104
 
1.3%
N 66
 
0.8%
S 65
 
0.8%
& 58
 
0.7%
Other values (47) 420
 
5.2%
None
ValueCountFrequency (%)
5
83.3%
· 1
 
16.7%
Distinct3089
Distinct (%)52.2%
Missing1
Missing (%)< 0.1%
Memory size46.4 KiB
2023-12-12T21:52:59.541970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length10.68357
Min length1

Characters and Unicode

Total characters63204
Distinct characters479
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2201 ?
Unique (%)37.2%

Sample

1st row종합건축사사무소 가인 에스앤케이
2nd row자인 건축사사무소
3rd row신한건축사사무소
4th rowDNA-이예 건축사사무소
5th row(주)종합건축사사무소반도건축
ValueCountFrequency (%)
건축사사무소 844
 
10.6%
데이터 345
 
4.3%
미집계등 345
 
4.3%
종합건축사사무소 171
 
2.2%
주)건축사사무소 132
 
1.7%
사무소 119
 
1.5%
주)종합건축사사무소 107
 
1.3%
주식회사 105
 
1.3%
건축사 75
 
0.9%
주)국전건축사사무소 52
 
0.7%
Other values (2975) 5648
71.1%
2023-12-12T21:52:59.913655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10522
16.6%
5913
 
9.4%
5775
 
9.1%
5246
 
8.3%
5222
 
8.3%
2473
 
3.9%
) 2310
 
3.7%
( 2272
 
3.6%
2040
 
3.2%
1294
 
2.0%
Other values (469) 20137
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55544
87.9%
Close Punctuation 2312
 
3.7%
Open Punctuation 2273
 
3.6%
Space Separator 2040
 
3.2%
Uppercase Letter 572
 
0.9%
Decimal Number 230
 
0.4%
Other Punctuation 170
 
0.3%
Lowercase Letter 53
 
0.1%
Dash Punctuation 6
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10522
18.9%
5913
 
10.6%
5775
 
10.4%
5246
 
9.4%
5222
 
9.4%
2473
 
4.5%
1294
 
2.3%
1286
 
2.3%
1170
 
2.1%
493
 
0.9%
Other values (409) 16150
29.1%
Uppercase Letter
ValueCountFrequency (%)
A 99
17.3%
N 72
12.6%
S 64
11.2%
C 52
9.1%
D 45
7.9%
I 40
 
7.0%
G 29
 
5.1%
J 28
 
4.9%
M 21
 
3.7%
H 16
 
2.8%
Other values (16) 106
18.5%
Lowercase Letter
ValueCountFrequency (%)
a 8
15.1%
n 8
15.1%
s 7
13.2%
h 3
 
5.7%
u 3
 
5.7%
j 3
 
5.7%
i 3
 
5.7%
c 3
 
5.7%
e 3
 
5.7%
t 2
 
3.8%
Other values (6) 10
18.9%
Decimal Number
ValueCountFrequency (%)
2 108
47.0%
1 108
47.0%
3 8
 
3.5%
5 4
 
1.7%
4 1
 
0.4%
7 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 100
58.8%
& 52
30.6%
, 16
 
9.4%
· 1
 
0.6%
1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 2310
99.9%
] 2
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2272
> 99.9%
[ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
2040
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55548
87.9%
Common 7031
 
11.1%
Latin 625
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10522
18.9%
5913
 
10.6%
5775
 
10.4%
5246
 
9.4%
5222
 
9.4%
2473
 
4.5%
1294
 
2.3%
1286
 
2.3%
1170
 
2.1%
493
 
0.9%
Other values (410) 16154
29.1%
Latin
ValueCountFrequency (%)
A 99
15.8%
N 72
11.5%
S 64
10.2%
C 52
 
8.3%
D 45
 
7.2%
I 40
 
6.4%
G 29
 
4.6%
J 28
 
4.5%
M 21
 
3.4%
H 16
 
2.6%
Other values (32) 159
25.4%
Common
ValueCountFrequency (%)
) 2310
32.9%
( 2272
32.3%
2040
29.0%
2 108
 
1.5%
1 108
 
1.5%
. 100
 
1.4%
& 52
 
0.7%
, 16
 
0.2%
3 8
 
0.1%
- 6
 
0.1%
Other values (7) 11
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55542
87.9%
ASCII 7654
 
12.1%
None 6
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
10522
18.9%
5913
 
10.6%
5775
 
10.4%
5246
 
9.4%
5222
 
9.4%
2473
 
4.5%
1294
 
2.3%
1286
 
2.3%
1170
 
2.1%
493
 
0.9%
Other values (407) 16148
29.1%
ASCII
ValueCountFrequency (%)
) 2310
30.2%
( 2272
29.7%
2040
26.7%
2 108
 
1.4%
1 108
 
1.4%
. 100
 
1.3%
A 99
 
1.3%
N 72
 
0.9%
S 64
 
0.8%
C 52
 
0.7%
Other values (47) 429
 
5.6%
None
ValueCountFrequency (%)
4
66.7%
· 1
 
16.7%
1
 
16.7%
Compat Jamo
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct2605
Distinct (%)44.1%
Missing5
Missing (%)0.1%
Memory size46.4 KiB
2023-12-12T21:53:00.182495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length8.3179973
Min length2

Characters and Unicode

Total characters49176
Distinct characters469
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1941 ?
Unique (%)32.8%

Sample

1st row오성종합건설주식회사
2nd row예그린종합건설(주)
3rd row미봉건설주식회사
4th row다성건설(주)
5th row포시스건설(주)
ValueCountFrequency (%)
데이터 1730
21.7%
미집계등 1730
21.7%
주식회사 200
 
2.5%
직영 43
 
0.5%
예미종합건설(주 37
 
0.5%
34
 
0.4%
건축주 29
 
0.4%
건축주직영 26
 
0.3%
아시아종합건설(주 26
 
0.3%
재진건설(주 24
 
0.3%
Other values (2592) 4090
51.3%
2023-12-12T21:53:00.679106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3946
 
8.0%
3265
 
6.6%
) 3200
 
6.5%
( 3185
 
6.5%
2994
 
6.1%
2439
 
5.0%
2066
 
4.2%
1874
 
3.8%
1764
 
3.6%
1760
 
3.6%
Other values (459) 22683
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40612
82.6%
Close Punctuation 3200
 
6.5%
Open Punctuation 3185
 
6.5%
Space Separator 2066
 
4.2%
Uppercase Letter 69
 
0.1%
Decimal Number 24
 
< 0.1%
Other Punctuation 11
 
< 0.1%
Other Symbol 4
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3946
 
9.7%
3265
 
8.0%
2994
 
7.4%
2439
 
6.0%
1874
 
4.6%
1764
 
4.3%
1760
 
4.3%
1750
 
4.3%
1746
 
4.3%
1735
 
4.3%
Other values (421) 17339
42.7%
Uppercase Letter
ValueCountFrequency (%)
C 15
21.7%
S 7
10.1%
G 7
10.1%
K 6
 
8.7%
N 5
 
7.2%
E 5
 
7.2%
M 4
 
5.8%
L 4
 
5.8%
A 3
 
4.3%
V 3
 
4.3%
Other values (7) 10
14.5%
Decimal Number
ValueCountFrequency (%)
2 7
29.2%
1 6
25.0%
0 4
16.7%
9 3
12.5%
8 1
 
4.2%
3 1
 
4.2%
7 1
 
4.2%
5 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
& 7
63.6%
. 2
 
18.2%
1
 
9.1%
/ 1
 
9.1%
Lowercase Letter
ValueCountFrequency (%)
b 1
25.0%
n 1
25.0%
r 1
25.0%
e 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 3200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3185
100.0%
Space Separator
ValueCountFrequency (%)
2066
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40616
82.6%
Common 8487
 
17.3%
Latin 73
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3946
 
9.7%
3265
 
8.0%
2994
 
7.4%
2439
 
6.0%
1874
 
4.6%
1764
 
4.3%
1760
 
4.3%
1750
 
4.3%
1746
 
4.3%
1735
 
4.3%
Other values (422) 17343
42.7%
Latin
ValueCountFrequency (%)
C 15
20.5%
S 7
9.6%
G 7
9.6%
K 6
 
8.2%
N 5
 
6.8%
E 5
 
6.8%
M 4
 
5.5%
L 4
 
5.5%
A 3
 
4.1%
V 3
 
4.1%
Other values (11) 14
19.2%
Common
ValueCountFrequency (%)
) 3200
37.7%
( 3185
37.5%
2066
24.3%
2 7
 
0.1%
& 7
 
0.1%
1 6
 
0.1%
0 4
 
< 0.1%
9 3
 
< 0.1%
. 2
 
< 0.1%
1
 
< 0.1%
Other values (6) 6
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40612
82.6%
ASCII 8559
 
17.4%
None 4
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3946
 
9.7%
3265
 
8.0%
2994
 
7.4%
2439
 
6.0%
1874
 
4.6%
1764
 
4.3%
1760
 
4.3%
1750
 
4.3%
1746
 
4.3%
1735
 
4.3%
Other values (421) 17339
42.7%
ASCII
ValueCountFrequency (%)
) 3200
37.4%
( 3185
37.2%
2066
24.1%
C 15
 
0.2%
2 7
 
0.1%
S 7
 
0.1%
G 7
 
0.1%
& 7
 
0.1%
1 6
 
0.1%
K 6
 
0.1%
Other values (26) 53
 
0.6%
None
ValueCountFrequency (%)
4
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%

Sample

연번건축구분건축주명대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조허가일착공처리일사용승인일최대지상층수최대지하층수최고높이(미터)주용도부속용도설계사무소명감리사무소명시공자사무소명
01신축(주)글로벌냉동식품서울특별시 서초구 내곡동 164-17398198.98533.3849.99570.9246철근콘크리트구조2022-09-082022-10-242023-05-23217.74단독주택단독주택종합건축사사무소 가인 에스앤케이종합건축사사무소 가인 에스앤케이오성종합건설주식회사
12신축신대안개발주식회사송광호서울특별시 서초구 서초동 1508-20206.1121.84442.63159.1169199.6327철근콘크리트구조2022-08-042022-11-222023-06-236119.8공동주택다세대주택건축사사무소서은자인 건축사사무소예그린종합건설(주)
23신축한우리 외 3서울특별시 서초구 염곡동 213454.6165.12297.3936.3265.42철근콘크리트구조2022-07-212022-09-202023-05-193014.1단독주택단독주택신한건축사사무소신한건축사사무소미봉건설주식회사
34신축주식회사루민서울특별시 서초구 방배동 783-4170.785.24418.4349.94245.13철근콘크리트구조2022-07-212022-09-212023-05-105018제2종근린생활시설사무소(주)오픈스케일건축사사무소DNA-이예 건축사사무소다성건설(주)
45신축(주)한중서울특별시 서초구 방배동 913-8 외1필지384184.14593.9747.95154.68일반철골구조2022-07-132022-08-012023-02-214012.5제2종근린생활시설사무소(주)종합건축사사무소반도건축(주)종합건축사사무소반도건축포시스건설(주)
56신축(주)용택서울특별시 서초구 방배동 926-17203.8120.26407.5659.0088199.9791철근콘크리트구조2022-06-272022-09-072023-07-045017.977공동주택다세대주택(공동체주택)(주)유타건축사사무소바자울 건축사사무소(주)스타시스건설
67신축주식회사에스제이에이치서울특별시 서초구 반포동 734-19160.295.21416.5559.432196.623철근콘크리트구조2022-06-222022-11-072023-08-094113.85제2종근린생활시설일반음식점, 사무실(주)인에이건축사사무소(주)인에이건축사사무소다옴종합건설주식회사
78신축김준연 외 3서울특별시 서초구 서초동 1487-60274.9161.98756.4558.92199.93철근콘크리트구조2022-06-212022-07-222023-05-035115.98공동주택도시형생활주택(단지형다세대주택)10세대우리건축사사무소우리건축사사무소(주)지에스엠건설
89신축태경씨엠종합건설주식회사서울특별시 서초구 반포동 716-5213127.59425.9659.9014199.98철근콘크리트구조2022-06-152022-07-162023-01-175015.85공동주택도시형생활주택(소형주택)건축사사무소 다움건축건축사사무소 다움건축태경씨엠종합건설주식회사
910신축한용산업주식회사서울특별시 서초구 방배동 873-19225.3132.98596.2859.02198.17철근콘크리트구조2022-06-022022-09-302023-08-015117.55제2종근린생활시설사무소피에이종합건축사사무소피에이종합건축사사무소한용산업(주)
연번건축구분건축주명대지위치대지면적(제곱미터)건축면적(제곱미터)연면적(제곱미터)건폐율(퍼센트)용적률(퍼센트)구조허가일착공처리일사용승인일최대지상층수최대지하층수최고높이(미터)주용도부속용도설계사무소명감리사무소명시공자사무소명
59075908신축안종숙서울특별시 서초구 내곡동 1-2006 외2필지387130.16229.0133.6327.04벽돌구조1978-09-09데이터 미집계등2005-09-0611데이터 미집계등단독주택단독주택데이터 미집계등동신건축데이터 미집계등
59085909신축연창희서울특별시 서초구 원지동 419-538196.75187.0525.393749.0945벽돌구조1978-09-09데이터 미집계등2005-08-2921데이터 미집계등단독주택데이터 미집계등데이터 미집계등동신건축데이터 미집계등
59095910신축하재성서울특별시 서초구 염곡동 120-1341107.79218.9631.6155.35벽돌구조1978-07-24데이터 미집계등2005-04-1921데이터 미집계등단독주택데이터 미집계등문화건축동신건축데이터 미집계등
59105911신축조희승 외 1서울특별시 서초구 염곡동 106-12 외2필지34077.23193.0522.7144.79철근콘크리트구조1978-07-24데이터 미집계등2005-08-2421데이터 미집계등단독주택단독주택임창건축(주)포스트원데이터 미집계등
59115912신축임순분서울특별시 서초구 원지동 418 외3필지41881.84131.119.5819.58벽돌구조1978-07-21데이터 미집계등2005-08-1711데이터 미집계등단독주택데이터 미집계등데이터 미집계등예가건축데이터 미집계등
59125913신축유현세서울특별시 서초구 내곡동 375-3232798.91197.8230.2430.24데이터 미집계등1978-07-15데이터 미집계등2002-04-26데이터 미집계등데이터 미집계등데이터 미집계등단독주택데이터 미집계등데이터 미집계등데이터 미집계등데이터 미집계등
59135914신축김옥랑 외 3서울특별시 서초구 신원동 510-2362181.2195.7250.0654.07철근콘크리트구조1978-07-132003-11-132004-05-19206.2단독주택데이터 미집계등(주)우미건축사사무소(주)우미건축사사무소데이터 미집계등
59145915신축김옥랑 외 3서울특별시 서초구 신원동 510-2419.785.68131.0420.4120.41데이터 미집계등1978-07-13데이터 미집계등2004-05-19데이터 미집계등데이터 미집계등데이터 미집계등단독주택데이터 미집계등데이터 미집계등데이터 미집계등데이터 미집계등
59155916신축김경진서울특별시 서초구 원지동 254-20274104.19163.4238.0354.52기타조적구조1978-06-122010-03-262010-05-17217.8단독주택데이터 미집계등(주)건축사사무소아키눈데이터 미집계등데이터 미집계등
59165917신축김기윤서울특별시 서초구 신원동 261-1043874.6799.6117.0415.98기타조적구조1978-06-09데이터 미집계등2004-08-2011데이터 미집계등단독주택데이터 미집계등문화건축 설계사무소건축사사무소 태평데이터 미집계등