Overview

Dataset statistics

Number of variables32
Number of observations189
Missing cells200
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.1 KiB
Average record size in memory260.7 B

Variable types

Text24
Categorical4
Unsupported1
Numeric3

Alerts

imgpath has constant value ""Constant
last_load_dttm has constant value ""Constant
location1 has 189 (100.0%) missing valuesMissing
location has unique valuesUnique
acode has unique valuesUnique
rownum has unique valuesUnique
location1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
guild_mem_num has 40 (21.2%) zerosZeros
openinfocnt has 42 (22.2%) zerosZeros

Reproduction

Analysis started2024-04-17 04:39:08.333518
Analysis finished2024-04-17 04:39:09.199105
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

scale
Text

Distinct145
Distinct (%)77.1%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:09.326626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length27
Mean length16.648936
Min length1

Characters and Unicode

Total characters3130
Distinct characters43
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique142 ?
Unique (%)75.5%

Sample

1st row미정
2nd row지하5층지상35층/연면적 206647㎡
3rd row지하3층지상30층/연면적 291993.5053㎡
4th row지하3-4층 지상39층 연면적 91994㎡
5th row지하4층 지상48층 연면적 110992.89㎡
ValueCountFrequency (%)
연면적 87
 
20.4%
미정 30
 
7.0%
16
 
3.8%
지하3층 8
 
1.9%
지하4층 7
 
1.6%
지하5층 4
 
0.9%
지하2층 4
 
0.9%
지하4층/지상35층 3
 
0.7%
지상 3
 
0.7%
지하3층/지상35층 3
 
0.7%
Other values (245) 261
61.3%
2024-04-17T13:39:09.644548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
274
 
8.8%
247
 
7.9%
239
 
7.6%
3 205
 
6.5%
2 191
 
6.1%
1 173
 
5.5%
4 157
 
5.0%
5 142
 
4.5%
141
 
4.5%
134
 
4.3%
Other values (33) 1227
39.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1376
44.0%
Other Letter 1180
37.7%
Space Separator 239
 
7.6%
Other Punctuation 192
 
6.1%
Other Symbol 103
 
3.3%
Math Symbol 21
 
0.7%
Dash Punctuation 16
 
0.5%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
274
23.2%
247
20.9%
141
11.9%
134
11.4%
101
 
8.6%
101
 
8.6%
100
 
8.5%
31
 
2.6%
30
 
2.5%
3
 
0.3%
Other values (13) 18
 
1.5%
Decimal Number
ValueCountFrequency (%)
3 205
14.9%
2 191
13.9%
1 173
12.6%
4 157
11.4%
5 142
10.3%
9 116
8.4%
6 107
7.8%
8 101
7.3%
0 99
7.2%
7 85
6.2%
Other Punctuation
ValueCountFrequency (%)
/ 106
55.2%
. 84
43.8%
, 2
 
1.0%
Space Separator
ValueCountFrequency (%)
239
100.0%
Other Symbol
ValueCountFrequency (%)
103
100.0%
Math Symbol
ValueCountFrequency (%)
~ 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1949
62.3%
Hangul 1180
37.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
274
23.2%
247
20.9%
141
11.9%
134
11.4%
101
 
8.6%
101
 
8.6%
100
 
8.5%
31
 
2.6%
30
 
2.5%
3
 
0.3%
Other values (13) 18
 
1.5%
Common
ValueCountFrequency (%)
239
12.3%
3 205
10.5%
2 191
9.8%
1 173
8.9%
4 157
 
8.1%
5 142
 
7.3%
9 116
 
6.0%
6 107
 
5.5%
/ 106
 
5.4%
103
 
5.3%
Other values (9) 410
21.0%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1847
59.0%
Hangul 1180
37.7%
CJK Compat 103
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
274
23.2%
247
20.9%
141
11.9%
134
11.4%
101
 
8.6%
101
 
8.6%
100
 
8.5%
31
 
2.6%
30
 
2.5%
3
 
0.3%
Other values (13) 18
 
1.5%
ASCII
ValueCountFrequency (%)
239
12.9%
3 205
11.1%
2 191
10.3%
1 173
9.4%
4 157
8.5%
5 142
7.7%
9 116
 
6.3%
6 107
 
5.8%
/ 106
 
5.7%
8 101
 
5.5%
Other values (9) 310
16.8%
CJK Compat
ValueCountFrequency (%)
103
100.0%
Distinct58
Distinct (%)30.9%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:09.804874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length2.7925532
Min length2

Characters and Unicode

Total characters525
Distinct characters19
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

Unique26 ?
Unique (%)13.8%

Sample

1st row미정
2nd row17동
3rd row27
4th row5
5th row2
ValueCountFrequency (%)
미정 37
19.6%
4 13
 
6.9%
2 9
 
4.8%
8 9
 
4.8%
6 7
 
3.7%
5 7
 
3.7%
7
 
3.7%
7 7
 
3.7%
9 5
 
2.6%
10 5
 
2.6%
Other values (48) 83
43.9%
2024-04-17T13:39:10.060854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
36.2%
1 51
 
9.7%
38
 
7.2%
38
 
7.2%
37
 
7.0%
2 29
 
5.5%
4 22
 
4.2%
3 17
 
3.2%
8 16
 
3.0%
7 15
 
2.9%
Other values (9) 72
 
13.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 202
38.5%
Space Separator 190
36.2%
Other Letter 124
23.6%
Dash Punctuation 7
 
1.3%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 51
25.2%
2 29
14.4%
4 22
10.9%
3 17
 
8.4%
8 16
 
7.9%
7 15
 
7.4%
6 15
 
7.4%
9 13
 
6.4%
0 13
 
6.4%
5 11
 
5.4%
Other Letter
ValueCountFrequency (%)
38
30.6%
38
30.6%
37
29.8%
10
 
8.1%
1
 
0.8%
Space Separator
ValueCountFrequency (%)
190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 401
76.4%
Hangul 124
 
23.6%

Most frequent character per script

Common
ValueCountFrequency (%)
190
47.4%
1 51
 
12.7%
2 29
 
7.2%
4 22
 
5.5%
3 17
 
4.2%
8 16
 
4.0%
7 15
 
3.7%
6 15
 
3.7%
9 13
 
3.2%
0 13
 
3.2%
Other values (4) 20
 
5.0%
Hangul
ValueCountFrequency (%)
38
30.6%
38
30.6%
37
29.8%
10
 
8.1%
1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 401
76.4%
Hangul 124
 
23.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
47.4%
1 51
 
12.7%
2 29
 
7.2%
4 22
 
5.5%
3 17
 
4.2%
8 16
 
4.0%
7 15
 
3.7%
6 15
 
3.7%
9 13
 
3.2%
0 13
 
3.2%
Other values (4) 20
 
5.0%
Hangul
ValueCountFrequency (%)
38
30.6%
38
30.6%
37
29.8%
10
 
8.1%
1
 
0.8%
Distinct168
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:10.266356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length64.322751
Min length44

Characters and Unicode

Total characters12157
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)88.4%

Sample

1st rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536209000
2nd rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100420243310
3rd rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120307246240
4th rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099440
5th rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587310
ValueCountFrequency (%)
http://dynamice.busan.go.kr/upload/busi_ara 22
 
11.6%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100241185970 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_202103091011185630 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100239404940 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100457300040 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201910110456190460 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100418336770 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812110954528620 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_202007230516537950 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100340041890 1
 
0.5%
Other values (158) 158
83.6%
2024-04-17T13:39:10.570007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 945
 
7.8%
a 945
 
7.8%
0 778
 
6.4%
1 639
 
5.3%
u 567
 
4.7%
. 567
 
4.7%
2 464
 
3.8%
o 378
 
3.1%
t 378
 
3.1%
s 378
 
3.1%
Other values (26) 6118
50.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6426
52.9%
Decimal Number 3006
24.7%
Other Punctuation 1701
 
14.0%
Uppercase Letter 668
 
5.5%
Connector Punctuation 356
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 945
14.7%
u 567
 
8.8%
o 378
 
5.9%
t 378
 
5.9%
s 378
 
5.9%
b 378
 
5.9%
i 378
 
5.9%
r 378
 
5.9%
n 378
 
5.9%
d 378
 
5.9%
Other values (9) 1890
29.4%
Decimal Number
ValueCountFrequency (%)
0 778
25.9%
1 639
21.3%
2 464
15.4%
8 225
 
7.5%
3 187
 
6.2%
4 186
 
6.2%
5 166
 
5.5%
9 154
 
5.1%
7 113
 
3.8%
6 94
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 945
55.6%
. 567
33.3%
: 189
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 334
50.0%
B 167
25.0%
R 167
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 356
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7094
58.4%
Common 5063
41.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 945
 
13.3%
u 567
 
8.0%
o 378
 
5.3%
t 378
 
5.3%
s 378
 
5.3%
b 378
 
5.3%
i 378
 
5.3%
r 378
 
5.3%
n 378
 
5.3%
d 378
 
5.3%
Other values (12) 2558
36.1%
Common
ValueCountFrequency (%)
/ 945
18.7%
0 778
15.4%
1 639
12.6%
. 567
11.2%
2 464
9.2%
_ 356
 
7.0%
8 225
 
4.4%
: 189
 
3.7%
3 187
 
3.7%
4 186
 
3.7%
Other values (4) 527
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12157
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 945
 
7.8%
a 945
 
7.8%
0 778
 
6.4%
1 639
 
5.3%
u 567
 
4.7%
. 567
 
4.7%
2 464
 
3.8%
o 378
 
3.1%
t 378
 
3.1%
s 378
 
3.1%
Other values (26) 6118
50.3%
Distinct167
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:10.775870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length64.201058
Min length44

Characters and Unicode

Total characters12134
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)87.8%

Sample

1st rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208980
2nd rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100419177810
3rd rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100428073780
4th rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099410
5th rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587290
ValueCountFrequency (%)
http://dynamice.busan.go.kr/upload/busi_ara 23
 
12.2%
http://dynamice.busan.go.kr/upload/busi_ara/bara_202103080349491260 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100127252140 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100456150720 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100457300010 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812260132252340 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100117201090 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100903559410 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100122002390 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100907234960 1
 
0.5%
Other values (157) 157
83.1%
2024-04-17T13:39:11.099953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 945
 
7.8%
a 945
 
7.8%
0 712
 
5.9%
1 687
 
5.7%
u 567
 
4.7%
. 567
 
4.7%
2 492
 
4.1%
o 378
 
3.1%
t 378
 
3.1%
s 378
 
3.1%
Other values (26) 6085
50.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6426
53.0%
Decimal Number 2988
24.6%
Other Punctuation 1701
 
14.0%
Uppercase Letter 664
 
5.5%
Connector Punctuation 355
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 945
14.7%
u 567
 
8.8%
o 378
 
5.9%
t 378
 
5.9%
s 378
 
5.9%
b 378
 
5.9%
i 378
 
5.9%
r 378
 
5.9%
n 378
 
5.9%
d 378
 
5.9%
Other values (9) 1890
29.4%
Decimal Number
ValueCountFrequency (%)
0 712
23.8%
1 687
23.0%
2 492
16.5%
8 265
 
8.9%
4 182
 
6.1%
3 150
 
5.0%
5 141
 
4.7%
9 137
 
4.6%
7 111
 
3.7%
6 111
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 945
55.6%
. 567
33.3%
: 189
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 332
50.0%
B 166
25.0%
R 166
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 355
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7090
58.4%
Common 5044
41.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 945
 
13.3%
u 567
 
8.0%
o 378
 
5.3%
t 378
 
5.3%
s 378
 
5.3%
b 378
 
5.3%
i 378
 
5.3%
r 378
 
5.3%
n 378
 
5.3%
d 378
 
5.3%
Other values (12) 2554
36.0%
Common
ValueCountFrequency (%)
/ 945
18.7%
0 712
14.1%
1 687
13.6%
. 567
11.2%
2 492
9.8%
_ 355
 
7.0%
8 265
 
5.3%
: 189
 
3.7%
4 182
 
3.6%
3 150
 
3.0%
Other values (4) 500
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12134
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 945
 
7.8%
a 945
 
7.8%
0 712
 
5.9%
1 687
 
5.7%
u 567
 
4.7%
. 567
 
4.7%
2 492
 
4.1%
o 378
 
3.1%
t 378
 
3.1%
s 378
 
3.1%
Other values (26) 6085
50.1%
Distinct172
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:11.311220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length64.809524
Min length44

Characters and Unicode

Total characters12249
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)90.5%

Sample

1st rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208850
2nd rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812280945151120
3rd rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100428073720
4th rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099210
5th rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587210
ValueCountFrequency (%)
http://dynamice.busan.go.kr/upload/busi_ara 18
 
9.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100127252060 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_202103091010471320 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812041013279860 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100457299830 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201910110456190390 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812111153538130 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100903559360 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100122002310 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100907234850 1
 
0.5%
Other values (162) 162
85.7%
2024-04-17T13:39:11.611940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 945
 
7.7%
a 945
 
7.7%
0 759
 
6.2%
1 680
 
5.6%
u 567
 
4.6%
. 567
 
4.6%
2 495
 
4.0%
o 378
 
3.1%
t 378
 
3.1%
s 378
 
3.1%
Other values (26) 6157
50.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6426
52.5%
Decimal Number 3078
25.1%
Other Punctuation 1701
 
13.9%
Uppercase Letter 684
 
5.6%
Connector Punctuation 360
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 945
14.7%
u 567
 
8.8%
o 378
 
5.9%
t 378
 
5.9%
s 378
 
5.9%
b 378
 
5.9%
i 378
 
5.9%
r 378
 
5.9%
n 378
 
5.9%
d 378
 
5.9%
Other values (9) 1890
29.4%
Decimal Number
ValueCountFrequency (%)
0 759
24.7%
1 680
22.1%
2 495
16.1%
8 247
 
8.0%
4 180
 
5.8%
3 178
 
5.8%
5 164
 
5.3%
9 138
 
4.5%
6 120
 
3.9%
7 117
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 945
55.6%
. 567
33.3%
: 189
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 342
50.0%
B 171
25.0%
R 171
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7110
58.0%
Common 5139
42.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 945
 
13.3%
u 567
 
8.0%
o 378
 
5.3%
t 378
 
5.3%
s 378
 
5.3%
b 378
 
5.3%
i 378
 
5.3%
r 378
 
5.3%
n 378
 
5.3%
d 378
 
5.3%
Other values (12) 2574
36.2%
Common
ValueCountFrequency (%)
/ 945
18.4%
0 759
14.8%
1 680
13.2%
. 567
11.0%
2 495
9.6%
_ 360
 
7.0%
8 247
 
4.8%
: 189
 
3.7%
4 180
 
3.5%
3 178
 
3.5%
Other values (4) 539
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12249
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 945
 
7.7%
a 945
 
7.7%
0 759
 
6.2%
1 680
 
5.6%
u 567
 
4.6%
. 567
 
4.6%
2 495
 
4.0%
o 378
 
3.1%
t 378
 
3.1%
s 378
 
3.1%
Other values (26) 6157
50.3%

location
Text

UNIQUE 

Distinct189
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:11.817882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length23
Mean length17.142857
Min length9

Characters and Unicode

Total characters3240
Distinct characters127
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

Unique189 ?
Unique (%)100.0%

Sample

1st row해운대구 재송동 1146번지 일원
2nd row부산진구 전포동 15-2번지
3rd row부산진구 전포동 268번지 일원
4th row동구 좌천동 67-27번지 120번지 일원
5th row동구 범일동 252-753번지 일원
ValueCountFrequency (%)
일원 119
 
17.0%
부산진구 30
 
4.3%
남구 22
 
3.1%
동래구 18
 
2.6%
연제구 16
 
2.3%
해운대구 15
 
2.1%
동구 14
 
2.0%
금정구 12
 
1.7%
수영구 11
 
1.6%
사하구 11
 
1.6%
Other values (302) 434
61.8%
2024-04-17T13:39:12.143172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
514
 
15.9%
228
 
7.0%
191
 
5.9%
1 175
 
5.4%
164
 
5.1%
160
 
4.9%
142
 
4.4%
135
 
4.2%
- 117
 
3.6%
2 110
 
3.4%
Other values (117) 1304
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1786
55.1%
Decimal Number 798
24.6%
Space Separator 514
 
15.9%
Dash Punctuation 117
 
3.6%
Close Punctuation 13
 
0.4%
Open Punctuation 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
228
 
12.8%
191
 
10.7%
164
 
9.2%
160
 
9.0%
142
 
8.0%
135
 
7.6%
46
 
2.6%
45
 
2.5%
41
 
2.3%
38
 
2.1%
Other values (103) 596
33.4%
Decimal Number
ValueCountFrequency (%)
1 175
21.9%
2 110
13.8%
3 85
10.7%
0 78
9.8%
5 71
8.9%
4 70
 
8.8%
6 65
 
8.1%
8 56
 
7.0%
7 54
 
6.8%
9 34
 
4.3%
Space Separator
ValueCountFrequency (%)
514
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1786
55.1%
Common 1454
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
228
 
12.8%
191
 
10.7%
164
 
9.2%
160
 
9.0%
142
 
8.0%
135
 
7.6%
46
 
2.6%
45
 
2.5%
41
 
2.3%
38
 
2.1%
Other values (103) 596
33.4%
Common
ValueCountFrequency (%)
514
35.4%
1 175
 
12.0%
- 117
 
8.0%
2 110
 
7.6%
3 85
 
5.8%
0 78
 
5.4%
5 71
 
4.9%
4 70
 
4.8%
6 65
 
4.5%
8 56
 
3.9%
Other values (4) 113
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1786
55.1%
ASCII 1454
44.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
514
35.4%
1 175
 
12.0%
- 117
 
8.0%
2 110
 
7.6%
3 85
 
5.8%
0 78
 
5.4%
5 71
 
4.9%
4 70
 
4.8%
6 65
 
4.5%
8 56
 
3.9%
Other values (4) 113
 
7.8%
Hangul
ValueCountFrequency (%)
228
 
12.8%
191
 
10.7%
164
 
9.2%
160
 
9.0%
142
 
8.0%
135
 
7.6%
46
 
2.6%
45
 
2.5%
41
 
2.3%
38
 
2.1%
Other values (103) 596
33.4%
Distinct87
Distinct (%)46.3%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:12.359201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length5.2819149
Min length1

Characters and Unicode

Total characters993
Distinct characters95
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

Unique66 ?
Unique (%)35.1%

Sample

1st row미정
2nd row대림건설
3rd row현대산업개발
4th row일동
5th row삼부토건
ValueCountFrequency (%)
미정 53
25.1%
롯데건설 10
 
4.7%
8
 
3.8%
주)대우건설 7
 
3.3%
gs건설 5
 
2.4%
현대산업개발 5
 
2.4%
미선정 4
 
1.9%
대림산업 4
 
1.9%
한화건설 4
 
1.9%
주)동원개발 4
 
1.9%
Other values (85) 107
50.7%
2024-04-17T13:39:12.675231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
8.7%
80
 
8.1%
) 64
 
6.4%
( 64
 
6.4%
62
 
6.2%
62
 
6.2%
62
 
6.2%
44
 
4.4%
31
 
3.1%
29
 
2.9%
Other values (85) 409
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 786
79.2%
Close Punctuation 64
 
6.4%
Open Punctuation 64
 
6.4%
Uppercase Letter 43
 
4.3%
Space Separator 23
 
2.3%
Dash Punctuation 8
 
0.8%
Lowercase Letter 3
 
0.3%
Decimal Number 1
 
0.1%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
86
 
10.9%
80
 
10.2%
62
 
7.9%
62
 
7.9%
62
 
7.9%
44
 
5.6%
31
 
3.9%
29
 
3.7%
18
 
2.3%
16
 
2.0%
Other values (70) 296
37.7%
Uppercase Letter
ValueCountFrequency (%)
S 17
39.5%
G 10
23.3%
K 8
18.6%
C 5
 
11.6%
D 1
 
2.3%
H 1
 
2.3%
I 1
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 64
100.0%
Space Separator
ValueCountFrequency (%)
23
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Decimal Number
ValueCountFrequency (%)
0 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 786
79.2%
Common 161
 
16.2%
Latin 46
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
86
 
10.9%
80
 
10.2%
62
 
7.9%
62
 
7.9%
62
 
7.9%
44
 
5.6%
31
 
3.9%
29
 
3.7%
18
 
2.3%
16
 
2.0%
Other values (70) 296
37.7%
Latin
ValueCountFrequency (%)
S 17
37.0%
G 10
21.7%
K 8
17.4%
C 5
 
10.9%
c 2
 
4.3%
k 1
 
2.2%
D 1
 
2.2%
H 1
 
2.2%
I 1
 
2.2%
Common
ValueCountFrequency (%)
) 64
39.8%
( 64
39.8%
23
 
14.3%
- 8
 
5.0%
0 1
 
0.6%
& 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 786
79.2%
ASCII 207
 
20.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
86
 
10.9%
80
 
10.2%
62
 
7.9%
62
 
7.9%
62
 
7.9%
44
 
5.6%
31
 
3.9%
29
 
3.7%
18
 
2.3%
16
 
2.0%
Other values (70) 296
37.7%
ASCII
ValueCountFrequency (%)
) 64
30.9%
( 64
30.9%
23
 
11.1%
S 17
 
8.2%
G 10
 
4.8%
- 8
 
3.9%
K 8
 
3.9%
C 5
 
2.4%
c 2
 
1.0%
k 1
 
0.5%
Other values (5) 5
 
2.4%

engineer
Categorical

Distinct50
Distinct (%)26.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
미정
88 
-
32 
미지정
11 
미선정
 
6
(주)혜원까치종합건축사사무소
 
3
Other values (45)
49 

Length

Max length18
Median length17
Mean length4.4021164
Min length1

Unique

Unique42 ?
Unique (%)22.2%

Sample

1st row미정
2nd row-
3rd row(주)중앙엔지니어링
4th row(주)혜원까치종합건축사사무소
5th rowLH공사

Common Values

ValueCountFrequency (%)
미정 88
46.6%
- 32
 
16.9%
미지정 11
 
5.8%
미선정 6
 
3.2%
(주)혜원까치종합건축사사무소 3
 
1.6%
(주)원종합엔지니어링 3
 
1.6%
(주)청우종합건축사사무소 2
 
1.1%
(주)다인그룹엔지니어링건축사사무소 2
 
1.1%
(주)길종합건축사사무소이엔지 1
 
0.5%
(주)이건종합건축사사무소 1
 
0.5%
Other values (40) 40
21.2%

Length

2024-04-17T13:39:12.792731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미정 88
45.1%
32
 
16.4%
미지정 11
 
5.6%
미선정 6
 
3.1%
주)혜원까치종합건축사사무소 3
 
1.5%
주)원종합엔지니어링 3
 
1.5%
근정 2
 
1.0%
주)종합건축사사무소 2
 
1.0%
건축사사무소 2
 
1.0%
주)다인그룹엔지니어링건축사사무소 2
 
1.0%
Other values (43) 44
22.6%
Distinct146
Distinct (%)77.7%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:13.004114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length7.106383
Min length2

Characters and Unicode

Total characters1336
Distinct characters49
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

Unique142 ?
Unique (%)75.5%

Sample

1st row미정
2nd row1401(임대72)
3rd row2144(임대 109)
4th row546(오피스텔68)
5th row652(오피스텔 139)
ValueCountFrequency (%)
미정 34
 
13.9%
8
 
3.3%
오피스텔 8
 
3.3%
아파트 4
 
1.6%
주택 2
 
0.8%
52호 2
 
0.8%
429 2
 
0.8%
1422 2
 
0.8%
593 1
 
0.4%
856(오피스텔224호 1
 
0.4%
Other values (180) 180
73.8%
2024-04-17T13:39:13.342100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
244
18.3%
1 105
 
7.9%
2 83
 
6.2%
4 70
 
5.2%
3 66
 
4.9%
65
 
4.9%
5 61
 
4.6%
0 56
 
4.2%
8 53
 
4.0%
6 52
 
3.9%
Other values (39) 481
36.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 643
48.1%
Other Letter 338
25.3%
Space Separator 244
 
18.3%
Open Punctuation 52
 
3.9%
Close Punctuation 51
 
3.8%
Dash Punctuation 8
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
65
19.2%
36
10.7%
35
10.4%
34
10.1%
28
8.3%
19
 
5.6%
19
 
5.6%
19
 
5.6%
18
 
5.3%
11
 
3.3%
Other values (25) 54
16.0%
Decimal Number
ValueCountFrequency (%)
1 105
16.3%
2 83
12.9%
4 70
10.9%
3 66
10.3%
5 61
9.5%
0 56
8.7%
8 53
8.2%
6 52
8.1%
9 50
7.8%
7 47
7.3%
Space Separator
ValueCountFrequency (%)
244
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 998
74.7%
Hangul 338
 
25.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
65
19.2%
36
10.7%
35
10.4%
34
10.1%
28
8.3%
19
 
5.6%
19
 
5.6%
19
 
5.6%
18
 
5.3%
11
 
3.3%
Other values (25) 54
16.0%
Common
ValueCountFrequency (%)
244
24.4%
1 105
10.5%
2 83
 
8.3%
4 70
 
7.0%
3 66
 
6.6%
5 61
 
6.1%
0 56
 
5.6%
8 53
 
5.3%
6 52
 
5.2%
( 52
 
5.2%
Other values (4) 156
15.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 998
74.7%
Hangul 338
 
25.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
244
24.4%
1 105
10.5%
2 83
 
8.3%
4 70
 
7.0%
3 66
 
6.6%
5 61
 
6.1%
0 56
 
5.6%
8 53
 
5.3%
6 52
 
5.2%
( 52
 
5.2%
Other values (4) 156
15.6%
Hangul
ValueCountFrequency (%)
65
19.2%
36
10.7%
35
10.4%
34
10.1%
28
8.3%
19
 
5.6%
19
 
5.6%
19
 
5.6%
18
 
5.3%
11
 
3.3%
Other values (25) 54
16.0%
Distinct172
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:13.560416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length65.809524
Min length45

Characters and Unicode

Total characters12438
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)90.5%

Sample

1st rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208850
2nd rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812280945151120
3rd rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100428073720
4th rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099210
5th rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587210
ValueCountFrequency (%)
https://dynamice.busan.go.kr/upload/busi_ara 18
 
9.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100127252060 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_202103091010471320 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812041013279860 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100457299830 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201910110456190390 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812111153538130 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100903559360 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100122002310 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100907234850 1
 
0.5%
Other values (162) 162
85.7%
2024-04-17T13:39:13.868371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 945
 
7.6%
a 945
 
7.6%
0 759
 
6.1%
1 680
 
5.5%
s 567
 
4.6%
u 567
 
4.6%
. 567
 
4.6%
2 495
 
4.0%
i 378
 
3.0%
t 378
 
3.0%
Other values (26) 6157
49.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6615
53.2%
Decimal Number 3078
24.7%
Other Punctuation 1701
 
13.7%
Uppercase Letter 684
 
5.5%
Connector Punctuation 360
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 945
14.3%
s 567
 
8.6%
u 567
 
8.6%
i 378
 
5.7%
t 378
 
5.7%
b 378
 
5.7%
o 378
 
5.7%
r 378
 
5.7%
n 378
 
5.7%
d 378
 
5.7%
Other values (9) 1890
28.6%
Decimal Number
ValueCountFrequency (%)
0 759
24.7%
1 680
22.1%
2 495
16.1%
8 247
 
8.0%
4 180
 
5.8%
3 178
 
5.8%
5 164
 
5.3%
9 138
 
4.5%
6 120
 
3.9%
7 117
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 945
55.6%
. 567
33.3%
: 189
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 342
50.0%
B 171
25.0%
R 171
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 360
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7299
58.7%
Common 5139
41.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 945
 
12.9%
s 567
 
7.8%
u 567
 
7.8%
i 378
 
5.2%
t 378
 
5.2%
b 378
 
5.2%
o 378
 
5.2%
r 378
 
5.2%
n 378
 
5.2%
d 378
 
5.2%
Other values (12) 2574
35.3%
Common
ValueCountFrequency (%)
/ 945
18.4%
0 759
14.8%
1 680
13.2%
. 567
11.0%
2 495
9.6%
_ 360
 
7.0%
8 247
 
4.8%
: 189
 
3.7%
4 180
 
3.5%
3 178
 
3.5%
Other values (4) 539
10.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12438
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 945
 
7.6%
a 945
 
7.6%
0 759
 
6.1%
1 680
 
5.5%
s 567
 
4.6%
u 567
 
4.6%
. 567
 
4.6%
2 495
 
4.0%
i 378
 
3.0%
t 378
 
3.0%
Other values (26) 6157
49.5%

gage
Text

Distinct140
Distinct (%)74.5%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:14.091582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length7
Mean length5.7234043
Min length2

Characters and Unicode

Total characters1076
Distinct characters21
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)70.7%

Sample

1st row220
2nd row275.93
3rd row250.4
4th row838.48
5th row850.00
ValueCountFrequency (%)
미정 35
 
18.3%
9
 
4.7%
240 4
 
2.1%
298.54 2
 
1.0%
280 2
 
1.0%
400 2
 
1.0%
260 2
 
1.0%
270 2
 
1.0%
256.87 1
 
0.5%
234.78 1
 
0.5%
Other values (131) 131
68.6%
2024-04-17T13:39:14.412657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
191
17.8%
2 145
13.5%
. 115
10.7%
8 76
 
7.1%
4 70
 
6.5%
6 67
 
6.2%
7 61
 
5.7%
5 58
 
5.4%
9 53
 
4.9%
0 48
 
4.5%
Other values (11) 192
17.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 658
61.2%
Space Separator 191
 
17.8%
Other Punctuation 128
 
11.9%
Other Letter 88
 
8.2%
Dash Punctuation 9
 
0.8%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 145
22.0%
8 76
11.6%
4 70
10.6%
6 67
10.2%
7 61
9.3%
5 58
 
8.8%
9 53
 
8.1%
0 48
 
7.3%
3 42
 
6.4%
1 38
 
5.8%
Other Letter
ValueCountFrequency (%)
36
40.9%
35
39.8%
8
 
9.1%
8
 
9.1%
1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 115
89.8%
% 13
 
10.2%
Space Separator
ValueCountFrequency (%)
191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 988
91.8%
Hangul 88
 
8.2%

Most frequent character per script

Common
ValueCountFrequency (%)
191
19.3%
2 145
14.7%
. 115
11.6%
8 76
 
7.7%
4 70
 
7.1%
6 67
 
6.8%
7 61
 
6.2%
5 58
 
5.9%
9 53
 
5.4%
0 48
 
4.9%
Other values (6) 104
10.5%
Hangul
ValueCountFrequency (%)
36
40.9%
35
39.8%
8
 
9.1%
8
 
9.1%
1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 988
91.8%
Hangul 88
 
8.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
191
19.3%
2 145
14.7%
. 115
11.6%
8 76
 
7.7%
4 70
 
7.1%
6 67
 
6.8%
7 61
 
6.2%
5 58
 
5.9%
9 53
 
5.4%
0 48
 
4.9%
Other values (6) 104
10.5%
Hangul
ValueCountFrequency (%)
36
40.9%
35
39.8%
8
 
9.1%
8
 
9.1%
1
 
1.1%
Distinct165
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:14.625012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length67
Mean length63.957672
Min length44

Characters and Unicode

Total characters12088
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)86.8%

Sample

1st rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208950
2nd rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100420243270
3rd rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120307245700
4th rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099260
5th rowhttp://dynamice.busan.go.kr/upload/busi_ara/BARA_201812090531430280
ValueCountFrequency (%)
http://dynamice.busan.go.kr/upload/busi_ara 25
 
13.2%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812190305261020 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100239404790 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100457299860 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201910110456190430 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100418336710 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812110954528050 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_202007230516537660 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100340041790 1
 
0.5%
http://dynamice.busan.go.kr/upload/busi_ara/bara_201812100241185640 1
 
0.5%
Other values (155) 155
82.0%
2024-04-17T13:39:14.944936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 945
 
7.8%
a 945
 
7.8%
0 744
 
6.2%
1 644
 
5.3%
u 567
 
4.7%
. 567
 
4.7%
2 462
 
3.8%
o 378
 
3.1%
t 378
 
3.1%
s 378
 
3.1%
Other values (26) 6080
50.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6426
53.2%
Decimal Number 2952
24.4%
Other Punctuation 1701
 
14.1%
Uppercase Letter 656
 
5.4%
Connector Punctuation 353
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 945
14.7%
u 567
 
8.8%
o 378
 
5.9%
t 378
 
5.9%
s 378
 
5.9%
b 378
 
5.9%
i 378
 
5.9%
n 378
 
5.9%
d 378
 
5.9%
p 378
 
5.9%
Other values (9) 1890
29.4%
Decimal Number
ValueCountFrequency (%)
0 744
25.2%
1 644
21.8%
2 462
15.7%
8 232
 
7.9%
4 196
 
6.6%
3 167
 
5.7%
5 156
 
5.3%
9 141
 
4.8%
7 109
 
3.7%
6 101
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 945
55.6%
. 567
33.3%
: 189
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 328
50.0%
B 164
25.0%
R 164
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 353
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7082
58.6%
Common 5006
41.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 945
 
13.3%
u 567
 
8.0%
o 378
 
5.3%
t 378
 
5.3%
s 378
 
5.3%
b 378
 
5.3%
i 378
 
5.3%
n 378
 
5.3%
d 378
 
5.3%
p 378
 
5.3%
Other values (12) 2546
36.0%
Common
ValueCountFrequency (%)
/ 945
18.9%
0 744
14.9%
1 644
12.9%
. 567
11.3%
2 462
9.2%
_ 353
 
7.1%
8 232
 
4.6%
4 196
 
3.9%
: 189
 
3.8%
3 167
 
3.3%
Other values (4) 507
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12088
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 945
 
7.8%
a 945
 
7.8%
0 744
 
6.2%
1 644
 
5.3%
u 567
 
4.7%
. 567
 
4.7%
2 462
 
3.8%
o 378
 
3.1%
t 378
 
3.1%
s 378
 
3.1%
Other values (26) 6080
50.3%
Distinct167
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:15.161170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length65.201058
Min length45

Characters and Unicode

Total characters12323
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)87.8%

Sample

1st rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208980
2nd rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100419177810
3rd rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100428073780
4th rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099410
5th rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587290
ValueCountFrequency (%)
https://dynamice.busan.go.kr/upload/busi_ara 23
 
12.2%
https://dynamice.busan.go.kr/upload/busi_ara/bara_202103080349491260 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100127252140 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100456150720 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100457300010 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812260132252340 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100117201090 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100903559410 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100122002390 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100907234960 1
 
0.5%
Other values (157) 157
83.1%
2024-04-17T13:39:15.474522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 945
 
7.7%
a 945
 
7.7%
0 712
 
5.8%
1 687
 
5.6%
s 567
 
4.6%
u 567
 
4.6%
. 567
 
4.6%
2 492
 
4.0%
i 378
 
3.1%
t 378
 
3.1%
Other values (26) 6085
49.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6615
53.7%
Decimal Number 2988
24.2%
Other Punctuation 1701
 
13.8%
Uppercase Letter 664
 
5.4%
Connector Punctuation 355
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 945
14.3%
s 567
 
8.6%
u 567
 
8.6%
i 378
 
5.7%
t 378
 
5.7%
b 378
 
5.7%
o 378
 
5.7%
r 378
 
5.7%
n 378
 
5.7%
d 378
 
5.7%
Other values (9) 1890
28.6%
Decimal Number
ValueCountFrequency (%)
0 712
23.8%
1 687
23.0%
2 492
16.5%
8 265
 
8.9%
4 182
 
6.1%
3 150
 
5.0%
5 141
 
4.7%
9 137
 
4.6%
7 111
 
3.7%
6 111
 
3.7%
Other Punctuation
ValueCountFrequency (%)
/ 945
55.6%
. 567
33.3%
: 189
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 332
50.0%
B 166
25.0%
R 166
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 355
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7279
59.1%
Common 5044
40.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 945
 
13.0%
s 567
 
7.8%
u 567
 
7.8%
i 378
 
5.2%
t 378
 
5.2%
b 378
 
5.2%
o 378
 
5.2%
r 378
 
5.2%
n 378
 
5.2%
d 378
 
5.2%
Other values (12) 2554
35.1%
Common
ValueCountFrequency (%)
/ 945
18.7%
0 712
14.1%
1 687
13.6%
. 567
11.2%
2 492
9.8%
_ 355
 
7.0%
8 265
 
5.3%
: 189
 
3.7%
4 182
 
3.6%
3 150
 
3.0%
Other values (4) 500
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12323
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 945
 
7.7%
a 945
 
7.7%
0 712
 
5.8%
1 687
 
5.6%
s 567
 
4.6%
u 567
 
4.6%
. 567
 
4.6%
2 492
 
4.0%
i 378
 
3.1%
t 378
 
3.1%
Other values (26) 6085
49.4%
Distinct104
Distinct (%)55.3%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:15.682391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length20
Mean length6.5531915
Min length1

Characters and Unicode

Total characters1232
Distinct characters130
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

Unique81 ?
Unique (%)43.1%

Sample

1st row미정
2nd row신성
3rd row(주)상지이앤에이
4th row도건
5th row앙코르
ValueCountFrequency (%)
미정 45
 
20.9%
7
 
3.3%
상지 5
 
2.3%
신도시 5
 
2.3%
건축사사무소 4
 
1.9%
삼익 4
 
1.9%
주)새누이엔지건축사사무소 4
 
1.9%
c&t건축사사무소 3
 
1.4%
앙코르 3
 
1.4%
신성 3
 
1.4%
Other values (107) 132
61.4%
2024-04-17T13:39:16.015134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
109
 
8.8%
92
 
7.5%
88
 
7.1%
58
 
4.7%
53
 
4.3%
52
 
4.2%
50
 
4.1%
( 46
 
3.7%
) 46
 
3.7%
46
 
3.7%
Other values (120) 592
48.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1045
84.8%
Open Punctuation 46
 
3.7%
Close Punctuation 46
 
3.7%
Uppercase Letter 39
 
3.2%
Space Separator 27
 
2.2%
Lowercase Letter 11
 
0.9%
Dash Punctuation 7
 
0.6%
Other Punctuation 7
 
0.6%
Math Symbol 2
 
0.2%
Other Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
109
 
10.4%
92
 
8.8%
88
 
8.4%
58
 
5.6%
53
 
5.1%
52
 
5.0%
50
 
4.8%
46
 
4.4%
39
 
3.7%
30
 
2.9%
Other values (92) 428
41.0%
Uppercase Letter
ValueCountFrequency (%)
C 8
20.5%
T 7
17.9%
N 6
15.4%
G 4
10.3%
E 4
10.3%
A 3
 
7.7%
S 2
 
5.1%
I 2
 
5.1%
M 1
 
2.6%
P 1
 
2.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
18.2%
r 2
18.2%
p 1
9.1%
c 1
9.1%
e 1
9.1%
a 1
9.1%
i 1
9.1%
n 1
9.1%
t 1
9.1%
Other Punctuation
ValueCountFrequency (%)
& 6
85.7%
/ 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
2
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1047
85.0%
Common 135
 
11.0%
Latin 50
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
109
 
10.4%
92
 
8.8%
88
 
8.4%
58
 
5.5%
53
 
5.1%
52
 
5.0%
50
 
4.8%
46
 
4.4%
39
 
3.7%
30
 
2.9%
Other values (93) 430
41.1%
Latin
ValueCountFrequency (%)
C 8
16.0%
T 7
14.0%
N 6
12.0%
G 4
 
8.0%
E 4
 
8.0%
A 3
 
6.0%
S 2
 
4.0%
I 2
 
4.0%
o 2
 
4.0%
r 2
 
4.0%
Other values (10) 10
20.0%
Common
ValueCountFrequency (%)
( 46
34.1%
) 46
34.1%
27
20.0%
- 7
 
5.2%
& 6
 
4.4%
2
 
1.5%
/ 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1045
84.8%
ASCII 183
 
14.9%
Math Operators 2
 
0.2%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
109
 
10.4%
92
 
8.8%
88
 
8.4%
58
 
5.6%
53
 
5.1%
52
 
5.0%
50
 
4.8%
46
 
4.4%
39
 
3.7%
30
 
2.9%
Other values (92) 428
41.0%
ASCII
ValueCountFrequency (%)
( 46
25.1%
) 46
25.1%
27
14.8%
C 8
 
4.4%
T 7
 
3.8%
- 7
 
3.8%
& 6
 
3.3%
N 6
 
3.3%
G 4
 
2.2%
E 4
 
2.2%
Other values (16) 22
12.0%
Math Operators
ValueCountFrequency (%)
2
100.0%
None
ValueCountFrequency (%)
2
100.0%
Distinct188
Distinct (%)100.0%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:16.157109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length12.382979
Min length5

Characters and Unicode

Total characters2328
Distinct characters149
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

Unique188 ?
Unique (%)100.0%

Sample

1st row재송5 주택재건축
2nd row전포1-1 재개발
3rd row전포2-1 재개발
4th row좌천2 도시환경정비구역
5th row좌천범일8 도시환경정비구역
ValueCountFrequency (%)
재개발 33
 
9.6%
재건축 17
 
5.0%
주택재개발 12
 
3.5%
도시환경정비구역 9
 
2.6%
가로주택정비사업 8
 
2.3%
주택재건축 8
 
2.3%
재건축사업 6
 
1.8%
주택재건축정비사업 6
 
1.8%
재건축정비사업 5
 
1.5%
정비구역 5
 
1.5%
Other values (208) 233
68.1%
2024-04-17T13:39:16.424785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
344
 
14.8%
170
 
7.3%
99
 
4.3%
97
 
4.2%
97
 
4.2%
95
 
4.1%
93
 
4.0%
90
 
3.9%
85
 
3.7%
79
 
3.4%
Other values (139) 1079
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1764
75.8%
Space Separator 344
 
14.8%
Decimal Number 187
 
8.0%
Dash Punctuation 20
 
0.9%
Close Punctuation 5
 
0.2%
Open Punctuation 5
 
0.2%
Other Punctuation 2
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
170
 
9.6%
99
 
5.6%
97
 
5.5%
97
 
5.5%
95
 
5.4%
93
 
5.3%
90
 
5.1%
85
 
4.8%
79
 
4.5%
63
 
3.6%
Other values (123) 796
45.1%
Decimal Number
ValueCountFrequency (%)
1 70
37.4%
2 52
27.8%
3 28
 
15.0%
5 11
 
5.9%
4 11
 
5.9%
6 7
 
3.7%
7 4
 
2.1%
8 2
 
1.1%
0 1
 
0.5%
9 1
 
0.5%
Space Separator
ValueCountFrequency (%)
344
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1764
75.8%
Common 563
 
24.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
170
 
9.6%
99
 
5.6%
97
 
5.5%
97
 
5.5%
95
 
5.4%
93
 
5.3%
90
 
5.1%
85
 
4.8%
79
 
4.5%
63
 
3.6%
Other values (123) 796
45.1%
Common
ValueCountFrequency (%)
344
61.1%
1 70
 
12.4%
2 52
 
9.2%
3 28
 
5.0%
- 20
 
3.6%
5 11
 
2.0%
4 11
 
2.0%
6 7
 
1.2%
) 5
 
0.9%
( 5
 
0.9%
Other values (5) 10
 
1.8%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1764
75.8%
ASCII 562
 
24.1%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
344
61.2%
1 70
 
12.5%
2 52
 
9.3%
3 28
 
5.0%
- 20
 
3.6%
5 11
 
2.0%
4 11
 
2.0%
6 7
 
1.2%
) 5
 
0.9%
( 5
 
0.9%
Other values (5) 9
 
1.6%
Hangul
ValueCountFrequency (%)
170
 
9.6%
99
 
5.6%
97
 
5.5%
97
 
5.5%
95
 
5.4%
93
 
5.3%
90
 
5.1%
85
 
4.8%
79
 
4.5%
63
 
3.6%
Other values (123) 796
45.1%
None
ValueCountFrequency (%)
· 2
100.0%
Distinct165
Distinct (%)87.3%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:16.645087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length64.957672
Min length45

Characters and Unicode

Total characters12277
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)86.8%

Sample

1st rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208950
2nd rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100420243270
3rd rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120307245700
4th rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099260
5th rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812090531430280
ValueCountFrequency (%)
https://dynamice.busan.go.kr/upload/busi_ara 25
 
13.2%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812190305261020 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100239404790 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100457299860 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201910110456190430 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100418336710 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812110954528050 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_202007230516537660 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100340041790 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100241185640 1
 
0.5%
Other values (155) 155
82.0%
2024-04-17T13:39:17.165264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 945
 
7.7%
a 945
 
7.7%
0 744
 
6.1%
1 644
 
5.2%
s 567
 
4.6%
u 567
 
4.6%
. 567
 
4.6%
2 462
 
3.8%
i 378
 
3.1%
t 378
 
3.1%
Other values (26) 6080
49.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6615
53.9%
Decimal Number 2952
24.0%
Other Punctuation 1701
 
13.9%
Uppercase Letter 656
 
5.3%
Connector Punctuation 353
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 945
14.3%
s 567
 
8.6%
u 567
 
8.6%
i 378
 
5.7%
t 378
 
5.7%
b 378
 
5.7%
o 378
 
5.7%
n 378
 
5.7%
d 378
 
5.7%
p 378
 
5.7%
Other values (9) 1890
28.6%
Decimal Number
ValueCountFrequency (%)
0 744
25.2%
1 644
21.8%
2 462
15.7%
8 232
 
7.9%
4 196
 
6.6%
3 167
 
5.7%
5 156
 
5.3%
9 141
 
4.8%
7 109
 
3.7%
6 101
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 945
55.6%
. 567
33.3%
: 189
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 328
50.0%
B 164
25.0%
R 164
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 353
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7271
59.2%
Common 5006
40.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 945
 
13.0%
s 567
 
7.8%
u 567
 
7.8%
i 378
 
5.2%
t 378
 
5.2%
b 378
 
5.2%
o 378
 
5.2%
n 378
 
5.2%
d 378
 
5.2%
p 378
 
5.2%
Other values (12) 2546
35.0%
Common
ValueCountFrequency (%)
/ 945
18.9%
0 744
14.9%
1 644
12.9%
. 567
11.3%
2 462
9.2%
_ 353
 
7.1%
8 232
 
4.6%
4 196
 
3.9%
: 189
 
3.8%
3 167
 
3.3%
Other values (4) 507
10.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12277
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 945
 
7.7%
a 945
 
7.7%
0 744
 
6.1%
1 644
 
5.2%
s 567
 
4.6%
u 567
 
4.6%
. 567
 
4.6%
2 462
 
3.8%
i 378
 
3.1%
t 378
 
3.1%
Other values (26) 6080
49.5%

imgpath
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
/upload/busi_ara
189 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row/upload/busi_ara
2nd row/upload/busi_ara
3rd row/upload/busi_ara
4th row/upload/busi_ara
5th row/upload/busi_ara

Common Values

ValueCountFrequency (%)
/upload/busi_ara 189
100.0%

Length

2024-04-17T13:39:17.282759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:39:17.360408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
upload/busi_ara 189
100.0%
Distinct118
Distinct (%)62.8%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:17.579841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length4.9308511
Min length2

Characters and Unicode

Total characters927
Distinct characters21
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique103 ?
Unique (%)54.8%

Sample

1st row미정
2nd row12.95
3rd row15.95
4th row59.70
5th row49.30
ValueCountFrequency (%)
미정 42
 
22.1%
10
 
5.3%
30 5
 
2.6%
50 4
 
2.1%
30%이하 3
 
1.6%
60 3
 
1.6%
15.95 2
 
1.1%
18.45 2
 
1.1%
15.21 2
 
1.1%
16.35 2
 
1.1%
Other values (110) 115
60.5%
2024-04-17T13:39:17.922536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
190
20.5%
. 114
12.3%
1 99
10.7%
5 55
 
5.9%
2 53
 
5.7%
4 48
 
5.2%
3 45
 
4.9%
0 44
 
4.7%
6 43
 
4.6%
43
 
4.6%
Other values (11) 193
20.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 500
53.9%
Space Separator 190
 
20.5%
Other Punctuation 125
 
13.5%
Other Letter 100
 
10.8%
Dash Punctuation 10
 
1.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 99
19.8%
5 55
11.0%
2 53
10.6%
4 48
9.6%
3 45
9.0%
0 44
8.8%
6 43
8.6%
9 41
8.2%
8 38
 
7.6%
7 34
 
6.8%
Other Letter
ValueCountFrequency (%)
43
43.0%
42
42.0%
7
 
7.0%
7
 
7.0%
1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
. 114
91.2%
% 11
 
8.8%
Space Separator
ValueCountFrequency (%)
190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 827
89.2%
Hangul 100
 
10.8%

Most frequent character per script

Common
ValueCountFrequency (%)
190
23.0%
. 114
13.8%
1 99
12.0%
5 55
 
6.7%
2 53
 
6.4%
4 48
 
5.8%
3 45
 
5.4%
0 44
 
5.3%
6 43
 
5.2%
9 41
 
5.0%
Other values (6) 95
11.5%
Hangul
ValueCountFrequency (%)
43
43.0%
42
42.0%
7
 
7.0%
7
 
7.0%
1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 827
89.2%
Hangul 100
 
10.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
190
23.0%
. 114
13.8%
1 99
12.0%
5 55
 
6.7%
2 53
 
6.4%
4 48
 
5.8%
3 45
 
5.4%
0 44
 
5.3%
6 43
 
5.2%
9 41
 
5.0%
Other values (6) 95
11.5%
Hangul
ValueCountFrequency (%)
43
43.0%
42
42.0%
7
 
7.0%
7
 
7.0%
1
 
1.0%
Distinct92
Distinct (%)48.9%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:18.138883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length5.2978723
Min length1

Characters and Unicode

Total characters996
Distinct characters134
Distinct categories7 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)35.6%

Sample

1st row미정
2nd row건인도시개발
3rd row정일마스터플랜
4th row서진씨앤디
5th row-
ValueCountFrequency (%)
미정 38
 
19.1%
13
 
6.5%
주)명성디앤씨 7
 
3.5%
가나개발 7
 
3.5%
정일마스터플랜 5
 
2.5%
미래 5
 
2.5%
미선정 4
 
2.0%
도시와 4
 
2.0%
서진c&d 4
 
2.0%
주)도시와미래 3
 
1.5%
Other values (87) 109
54.8%
2024-04-17T13:39:18.467200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
71
 
7.1%
60
 
6.0%
( 58
 
5.8%
) 58
 
5.8%
56
 
5.6%
28
 
2.8%
27
 
2.7%
25
 
2.5%
23
 
2.3%
21
 
2.1%
Other values (124) 569
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 793
79.6%
Open Punctuation 58
 
5.8%
Close Punctuation 58
 
5.8%
Uppercase Letter 47
 
4.7%
Other Punctuation 16
 
1.6%
Dash Punctuation 13
 
1.3%
Space Separator 11
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
71
 
9.0%
60
 
7.6%
56
 
7.1%
28
 
3.5%
27
 
3.4%
25
 
3.2%
23
 
2.9%
21
 
2.6%
18
 
2.3%
18
 
2.3%
Other values (108) 446
56.2%
Uppercase Letter
ValueCountFrequency (%)
C 18
38.3%
D 10
21.3%
S 6
 
12.8%
R 3
 
6.4%
M 3
 
6.4%
N 2
 
4.3%
E 1
 
2.1%
G 1
 
2.1%
J 1
 
2.1%
P 1
 
2.1%
Open Punctuation
ValueCountFrequency (%)
( 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 58
100.0%
Other Punctuation
ValueCountFrequency (%)
& 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 790
79.3%
Common 156
 
15.7%
Latin 47
 
4.7%
Han 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
71
 
9.0%
60
 
7.6%
56
 
7.1%
28
 
3.5%
27
 
3.4%
25
 
3.2%
23
 
2.9%
21
 
2.7%
18
 
2.3%
18
 
2.3%
Other values (105) 443
56.1%
Latin
ValueCountFrequency (%)
C 18
38.3%
D 10
21.3%
S 6
 
12.8%
R 3
 
6.4%
M 3
 
6.4%
N 2
 
4.3%
E 1
 
2.1%
G 1
 
2.1%
J 1
 
2.1%
P 1
 
2.1%
Common
ValueCountFrequency (%)
( 58
37.2%
) 58
37.2%
& 16
 
10.3%
- 13
 
8.3%
11
 
7.1%
Han
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 790
79.3%
ASCII 203
 
20.4%
CJK 3
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
71
 
9.0%
60
 
7.6%
56
 
7.1%
28
 
3.5%
27
 
3.4%
25
 
3.2%
23
 
2.9%
21
 
2.7%
18
 
2.3%
18
 
2.3%
Other values (105) 443
56.1%
ASCII
ValueCountFrequency (%)
( 58
28.6%
) 58
28.6%
C 18
 
8.9%
& 16
 
7.9%
- 13
 
6.4%
11
 
5.4%
D 10
 
4.9%
S 6
 
3.0%
R 3
 
1.5%
M 3
 
1.5%
Other values (6) 7
 
3.4%
CJK
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%
Distinct171
Distinct (%)91.0%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:18.690286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length14.393617
Min length2

Characters and Unicode

Total characters2706
Distinct characters161
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

Unique167 ?
Unique (%)88.8%

Sample

1st row미정
2nd row전포1-1주택재개발정비사업조합
3rd row전포2-1주택재개발정비사업조합
4th row좌천2구역 도시환경정비사업조합
5th rowLH공사
ValueCountFrequency (%)
주택재개발정비사업조합 24
 
7.1%
조합 18
 
5.3%
주택재개발조합 11
 
3.3%
미정 11
 
3.3%
조합설립추진위원회 9
 
2.7%
재건축정비사업조합 9
 
2.7%
정비사업조합 8
 
2.4%
도시환경정비사업조합 8
 
2.4%
가로주택정비사업조합 8
 
2.4%
주택재건축정비사업조합 6
 
1.8%
Other values (197) 226
66.9%
2024-04-17T13:39:19.016897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
 
5.9%
158
 
5.8%
154
 
5.7%
150
 
5.5%
140
 
5.2%
136
 
5.0%
131
 
4.8%
130
 
4.8%
112
 
4.1%
104
 
3.8%
Other values (151) 1331
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2372
87.7%
Space Separator 150
 
5.5%
Decimal Number 143
 
5.3%
Dash Punctuation 17
 
0.6%
Open Punctuation 10
 
0.4%
Close Punctuation 10
 
0.4%
Other Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
160
 
6.7%
158
 
6.7%
154
 
6.5%
140
 
5.9%
136
 
5.7%
131
 
5.5%
130
 
5.5%
112
 
4.7%
104
 
4.4%
84
 
3.5%
Other values (136) 1063
44.8%
Decimal Number
ValueCountFrequency (%)
1 52
36.4%
2 41
28.7%
3 25
17.5%
4 9
 
6.3%
5 7
 
4.9%
6 5
 
3.5%
7 3
 
2.1%
8 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2372
87.7%
Common 332
 
12.3%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
160
 
6.7%
158
 
6.7%
154
 
6.5%
140
 
5.9%
136
 
5.7%
131
 
5.5%
130
 
5.5%
112
 
4.7%
104
 
4.4%
84
 
3.5%
Other values (136) 1063
44.8%
Common
ValueCountFrequency (%)
150
45.2%
1 52
 
15.7%
2 41
 
12.3%
3 25
 
7.5%
- 17
 
5.1%
( 10
 
3.0%
) 10
 
3.0%
4 9
 
2.7%
5 7
 
2.1%
6 5
 
1.5%
Other values (3) 6
 
1.8%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2372
87.7%
ASCII 332
 
12.3%
None 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
160
 
6.7%
158
 
6.7%
154
 
6.5%
140
 
5.9%
136
 
5.7%
131
 
5.5%
130
 
5.5%
112
 
4.7%
104
 
4.4%
84
 
3.5%
Other values (136) 1063
44.8%
ASCII
ValueCountFrequency (%)
150
45.2%
1 52
 
15.7%
2 41
 
12.3%
3 25
 
7.5%
- 17
 
5.1%
( 10
 
3.0%
) 10
 
3.0%
4 9
 
2.7%
5 7
 
2.1%
6 5
 
1.5%
Other values (4) 6
 
1.8%
None
ValueCountFrequency (%)
· 2
100.0%
Distinct168
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:19.236630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length68
Mean length65.322751
Min length45

Characters and Unicode

Total characters12346
Distinct characters36
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique167 ?
Unique (%)88.4%

Sample

1st rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536209000
2nd rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100420243310
3rd rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120307246240
4th rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099440
5th rowhttps://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587310
ValueCountFrequency (%)
https://dynamice.busan.go.kr/upload/busi_ara 22
 
11.6%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100241185970 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_202103091011185630 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100239404940 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100457300040 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201910110456190460 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100418336770 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812110954528620 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_202007230516537950 1
 
0.5%
https://dynamice.busan.go.kr/upload/busi_ara/bara_201812100340041890 1
 
0.5%
Other values (158) 158
83.6%
2024-04-17T13:39:19.556279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 945
 
7.7%
a 945
 
7.7%
0 778
 
6.3%
1 639
 
5.2%
s 567
 
4.6%
u 567
 
4.6%
. 567
 
4.6%
2 464
 
3.8%
i 378
 
3.1%
t 378
 
3.1%
Other values (26) 6118
49.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 6615
53.6%
Decimal Number 3006
24.3%
Other Punctuation 1701
 
13.8%
Uppercase Letter 668
 
5.4%
Connector Punctuation 356
 
2.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 945
14.3%
s 567
 
8.6%
u 567
 
8.6%
i 378
 
5.7%
t 378
 
5.7%
b 378
 
5.7%
o 378
 
5.7%
r 378
 
5.7%
n 378
 
5.7%
d 378
 
5.7%
Other values (9) 1890
28.6%
Decimal Number
ValueCountFrequency (%)
0 778
25.9%
1 639
21.3%
2 464
15.4%
8 225
 
7.5%
3 187
 
6.2%
4 186
 
6.2%
5 166
 
5.5%
9 154
 
5.1%
7 113
 
3.8%
6 94
 
3.1%
Other Punctuation
ValueCountFrequency (%)
/ 945
55.6%
. 567
33.3%
: 189
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
A 334
50.0%
B 167
25.0%
R 167
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 356
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7283
59.0%
Common 5063
41.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 945
 
13.0%
s 567
 
7.8%
u 567
 
7.8%
i 378
 
5.2%
t 378
 
5.2%
b 378
 
5.2%
o 378
 
5.2%
r 378
 
5.2%
n 378
 
5.2%
d 378
 
5.2%
Other values (12) 2558
35.1%
Common
ValueCountFrequency (%)
/ 945
18.7%
0 778
15.4%
1 639
12.6%
. 567
11.2%
2 464
9.2%
_ 356
 
7.0%
8 225
 
4.4%
: 189
 
3.7%
3 187
 
3.7%
4 186
 
3.7%
Other values (4) 527
10.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12346
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 945
 
7.7%
a 945
 
7.7%
0 778
 
6.3%
1 639
 
5.2%
s 567
 
4.6%
u 567
 
4.6%
. 567
 
4.6%
2 464
 
3.8%
i 378
 
3.1%
t 378
 
3.1%
Other values (26) 6118
49.6%

telno
Text

Distinct179
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:19.767244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.931217
Min length2

Characters and Unicode

Total characters2255
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

Unique177 ?
Unique (%)93.7%

Sample

1st row051-781-1848
2nd row051-808-6920
3rd row051-807-6461
4th row051-631-1310
5th row051-647-2588
ValueCountFrequency (%)
051-000-0000 9
 
4.8%
000-000-0000 3
 
1.6%
051-334-6577 1
 
0.5%
1
 
0.5%
051-557-6405 1
 
0.5%
051-621-5975 1
 
0.5%
051-628-3281 1
 
0.5%
051-781-1848 1
 
0.5%
051-633-1103 1
 
0.5%
051-638-6800 1
 
0.5%
Other values (169) 169
89.4%
2024-04-17T13:39:20.093920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 427
18.9%
- 378
16.8%
5 332
14.7%
1 327
14.5%
6 132
 
5.9%
2 128
 
5.7%
3 118
 
5.2%
7 114
 
5.1%
8 107
 
4.7%
4 107
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1877
83.2%
Dash Punctuation 378
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 427
22.7%
5 332
17.7%
1 327
17.4%
6 132
 
7.0%
2 128
 
6.8%
3 118
 
6.3%
7 114
 
6.1%
8 107
 
5.7%
4 107
 
5.7%
9 85
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 378
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2255
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 427
18.9%
- 378
16.8%
5 332
14.7%
1 327
14.5%
6 132
 
5.9%
2 128
 
5.7%
3 118
 
5.2%
7 114
 
5.1%
8 107
 
4.7%
4 107
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2255
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 427
18.9%
- 378
16.8%
5 332
14.7%
1 327
14.5%
6 132
 
5.9%
2 128
 
5.7%
3 118
 
5.2%
7 114
 
5.1%
8 107
 
4.7%
4 107
 
4.7%
Distinct185
Distinct (%)98.4%
Missing1
Missing (%)0.5%
Memory size1.6 KiB
2024-04-17T13:39:20.380023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.8297872
Min length3

Characters and Unicode

Total characters1284
Distinct characters18
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique183 ?
Unique (%)97.3%

Sample

1st row30400㎡
2nd row58152
3rd row103928.1
4th row7475.4㎡
5th row10936.1㎡
ValueCountFrequency (%)
미정 3
 
1.6%
7555.9 2
 
1.1%
15462.3 1
 
0.5%
95269 1
 
0.5%
29317 1
 
0.5%
17563 1
 
0.5%
2510.3 1
 
0.5%
30400㎡ 1
 
0.5%
35821.40 1
 
0.5%
68509.6 1
 
0.5%
Other values (175) 175
93.1%
2024-04-17T13:39:20.767764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
14.6%
1 131
10.2%
2 108
8.4%
0 107
8.3%
3 105
8.2%
5 97
7.6%
6 96
7.5%
4 94
7.3%
7 89
6.9%
9 86
6.7%
Other values (8) 183
14.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 994
77.4%
Space Separator 188
 
14.6%
Other Punctuation 70
 
5.5%
Other Symbol 23
 
1.8%
Other Letter 9
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 131
13.2%
2 108
10.9%
0 107
10.8%
3 105
10.6%
5 97
9.8%
6 96
9.7%
4 94
9.5%
7 89
9.0%
9 86
8.7%
8 81
8.1%
Other Letter
ValueCountFrequency (%)
3
33.3%
3
33.3%
1
 
11.1%
1
 
11.1%
1
 
11.1%
Space Separator
ValueCountFrequency (%)
188
100.0%
Other Punctuation
ValueCountFrequency (%)
. 70
100.0%
Other Symbol
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1275
99.3%
Hangul 9
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
188
14.7%
1 131
10.3%
2 108
8.5%
0 107
8.4%
3 105
8.2%
5 97
7.6%
6 96
7.5%
4 94
7.4%
7 89
7.0%
9 86
6.7%
Other values (3) 174
13.6%
Hangul
ValueCountFrequency (%)
3
33.3%
3
33.3%
1
 
11.1%
1
 
11.1%
1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1252
97.5%
CJK Compat 23
 
1.8%
Hangul 9
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
15.0%
1 131
10.5%
2 108
8.6%
0 107
8.5%
3 105
8.4%
5 97
7.7%
6 96
7.7%
4 94
7.5%
7 89
7.1%
9 86
6.9%
Other values (2) 151
12.1%
CJK Compat
ValueCountFrequency (%)
23
100.0%
Hangul
ValueCountFrequency (%)
3
33.3%
3
33.3%
1
 
11.1%
1
 
11.1%
1
 
11.1%

phone
Text

Distinct179
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:20.984247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.931217
Min length2

Characters and Unicode

Total characters2255
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

Unique177 ?
Unique (%)93.7%

Sample

1st row051-781-1848
2nd row051-808-6920
3rd row051-807-6461
4th row051-631-1310
5th row051-647-2588
ValueCountFrequency (%)
051-000-0000 9
 
4.8%
000-000-0000 3
 
1.6%
051-334-6577 1
 
0.5%
1
 
0.5%
051-557-6405 1
 
0.5%
051-621-5975 1
 
0.5%
051-628-3281 1
 
0.5%
051-781-1848 1
 
0.5%
051-633-1103 1
 
0.5%
051-638-6800 1
 
0.5%
Other values (169) 169
89.4%
2024-04-17T13:39:21.303466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 427
18.9%
- 378
16.8%
5 332
14.7%
1 327
14.5%
6 132
 
5.9%
2 128
 
5.7%
3 118
 
5.2%
7 114
 
5.1%
8 107
 
4.7%
4 107
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1877
83.2%
Dash Punctuation 378
 
16.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 427
22.7%
5 332
17.7%
1 327
17.4%
6 132
 
7.0%
2 128
 
6.8%
3 118
 
6.3%
7 114
 
6.1%
8 107
 
5.7%
4 107
 
5.7%
9 85
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 378
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2255
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 427
18.9%
- 378
16.8%
5 332
14.7%
1 327
14.5%
6 132
 
5.9%
2 128
 
5.7%
3 118
 
5.2%
7 114
 
5.1%
8 107
 
4.7%
4 107
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2255
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 427
18.9%
- 378
16.8%
5 332
14.7%
1 327
14.5%
6 132
 
5.9%
2 128
 
5.7%
3 118
 
5.2%
7 114
 
5.1%
8 107
 
4.7%
4 107
 
4.7%

location1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing189
Missing (%)100.0%
Memory size1.8 KiB

name
Text

Distinct177
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:21.529017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length3
Mean length5.021164
Min length3

Characters and Unicode

Total characters949
Distinct characters150
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

Unique165 ?
Unique (%)87.3%

Sample

1st row재송5
2nd row전포1-1
3rd row전포2-1
4th row좌천2
5th row좌천범일8지구
ValueCountFrequency (%)
양정1 2
 
1.0%
괴정2 2
 
1.0%
화명2 2
 
1.0%
연산5 2
 
1.0%
재송2 2
 
1.0%
대연2 2
 
1.0%
대연3 2
 
1.0%
광안2 2
 
1.0%
우암1 2
 
1.0%
동대신1 2
 
1.0%
Other values (170) 172
89.6%
2024-04-17T13:39:21.886853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 75
 
7.9%
2 54
 
5.7%
3 29
 
3.1%
- 23
 
2.4%
) 23
 
2.4%
( 23
 
2.4%
23
 
2.4%
23
 
2.4%
22
 
2.3%
21
 
2.2%
Other values (140) 633
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 679
71.5%
Decimal Number 195
 
20.5%
Dash Punctuation 23
 
2.4%
Close Punctuation 23
 
2.4%
Open Punctuation 23
 
2.4%
Space Separator 3
 
0.3%
Other Punctuation 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
23
 
3.4%
23
 
3.4%
22
 
3.2%
21
 
3.1%
18
 
2.7%
17
 
2.5%
16
 
2.4%
16
 
2.4%
16
 
2.4%
16
 
2.4%
Other values (124) 491
72.3%
Decimal Number
ValueCountFrequency (%)
1 75
38.5%
2 54
27.7%
3 29
 
14.9%
5 11
 
5.6%
4 11
 
5.6%
6 7
 
3.6%
7 4
 
2.1%
8 2
 
1.0%
0 1
 
0.5%
9 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Other Punctuation
ValueCountFrequency (%)
· 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 679
71.5%
Common 269
 
28.3%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
23
 
3.4%
23
 
3.4%
22
 
3.2%
21
 
3.1%
18
 
2.7%
17
 
2.5%
16
 
2.4%
16
 
2.4%
16
 
2.4%
16
 
2.4%
Other values (124) 491
72.3%
Common
ValueCountFrequency (%)
1 75
27.9%
2 54
20.1%
3 29
 
10.8%
- 23
 
8.6%
) 23
 
8.6%
( 23
 
8.6%
5 11
 
4.1%
4 11
 
4.1%
6 7
 
2.6%
7 4
 
1.5%
Other values (5) 9
 
3.3%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 679
71.5%
ASCII 268
 
28.2%
None 2
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 75
28.0%
2 54
20.1%
3 29
 
10.8%
- 23
 
8.6%
) 23
 
8.6%
( 23
 
8.6%
5 11
 
4.1%
4 11
 
4.1%
6 7
 
2.6%
7 4
 
1.5%
Other values (5) 8
 
3.0%
Hangul
ValueCountFrequency (%)
23
 
3.4%
23
 
3.4%
22
 
3.2%
21
 
3.1%
18
 
2.7%
17
 
2.5%
16
 
2.4%
16
 
2.4%
16
 
2.4%
16
 
2.4%
Other values (124) 491
72.3%
None
ValueCountFrequency (%)
· 2
100.0%

acode
Text

UNIQUE 

Distinct189
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2024-04-17T13:39:22.054682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters3402
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)100.0%

Sample

1st rowBARA_0000000000032
2nd rowBARA_0000000000057
3rd rowBARA_0000000000049
4th rowBARA_0000000000156
5th rowBARA_0000000000158
ValueCountFrequency (%)
bara_0000000000032 1
 
0.5%
bara_0000000000075 1
 
0.5%
bara_0000000000269 1
 
0.5%
bara_0000000000277 1
 
0.5%
bara_0000000000179 1
 
0.5%
bara_0000000000278 1
 
0.5%
bara_0000000000180 1
 
0.5%
bara_0000000000279 1
 
0.5%
bara_0000000000181 1
 
0.5%
bara_0000000000182 1
 
0.5%
Other values (179) 179
94.7%
2024-04-17T13:39:22.317465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1966
57.8%
A 378
 
11.1%
B 189
 
5.6%
R 189
 
5.6%
_ 189
 
5.6%
3 98
 
2.9%
1 94
 
2.8%
2 90
 
2.6%
4 40
 
1.2%
8 36
 
1.1%
Other values (4) 133
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2457
72.2%
Uppercase Letter 756
 
22.2%
Connector Punctuation 189
 
5.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1966
80.0%
3 98
 
4.0%
1 94
 
3.8%
2 90
 
3.7%
4 40
 
1.6%
8 36
 
1.5%
7 36
 
1.5%
9 35
 
1.4%
5 32
 
1.3%
6 30
 
1.2%
Uppercase Letter
ValueCountFrequency (%)
A 378
50.0%
B 189
25.0%
R 189
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 189
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2646
77.8%
Latin 756
 
22.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1966
74.3%
_ 189
 
7.1%
3 98
 
3.7%
1 94
 
3.6%
2 90
 
3.4%
4 40
 
1.5%
8 36
 
1.4%
7 36
 
1.4%
9 35
 
1.3%
5 32
 
1.2%
Latin
ValueCountFrequency (%)
A 378
50.0%
B 189
25.0%
R 189
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1966
57.8%
A 378
 
11.1%
B 189
 
5.6%
R 189
 
5.6%
_ 189
 
5.6%
3 98
 
2.9%
1 94
 
2.8%
2 90
 
2.6%
4 40
 
1.2%
8 36
 
1.1%
Other values (4) 133
 
3.9%

rownum
Real number (ℝ)

UNIQUE 

Distinct189
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean95
Minimum1
Maximum189
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T13:39:22.433052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.4
Q148
median95
Q3142
95-th percentile179.6
Maximum189
Range188
Interquartile range (IQR)94

Descriptive statistics

Standard deviation54.703748
Coefficient of variation (CV)0.57582892
Kurtosis-1.2
Mean95
Median Absolute Deviation (MAD)47
Skewness0
Sum17955
Variance2992.5
MonotonicityStrictly increasing
2024-04-17T13:39:22.561131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
131 1
 
0.5%
122 1
 
0.5%
123 1
 
0.5%
124 1
 
0.5%
125 1
 
0.5%
126 1
 
0.5%
127 1
 
0.5%
128 1
 
0.5%
129 1
 
0.5%
Other values (179) 179
94.7%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
189 1
0.5%
188 1
0.5%
187 1
0.5%
186 1
0.5%
185 1
0.5%
184 1
0.5%
183 1
0.5%
182 1
0.5%
181 1
0.5%
180 1
0.5%

step
Categorical

Distinct11
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
조합설립인가
61 
이주철거착공신고
40 
조합설립추진위원회승인
23 
관리처분계획
13 
사업시행계획인가
12 
Other values (6)
40 

Length

Max length13
Median length11
Mean length6.994709
Min length4

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row조합설립추진위원회승인
2nd row이주철거착공신고
3rd row준공인가
4th row이주철거착공신고
5th row이전고시

Common Values

ValueCountFrequency (%)
조합설립인가 61
32.3%
이주철거착공신고 40
21.2%
조합설립추진위원회승인 23
 
12.2%
관리처분계획 13
 
6.9%
사업시행계획인가 12
 
6.3%
이전고시 11
 
5.8%
정비구역지정 10
 
5.3%
조합해산 8
 
4.2%
준공인가 7
 
3.7%
조합원 분양공고 및 신청 3
 
1.6%

Length

2024-04-17T13:39:22.669962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조합설립인가 61
30.8%
이주철거착공신고 40
20.2%
조합설립추진위원회승인 23
 
11.6%
관리처분계획 13
 
6.6%
사업시행계획인가 12
 
6.1%
이전고시 11
 
5.6%
정비구역지정 10
 
5.1%
조합해산 8
 
4.0%
준공인가 7
 
3.5%
조합원 3
 
1.5%
Other values (4) 10
 
5.1%

guild_mem_num
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)74.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean401.03704
Minimum0
Maximum2989
Zeros40
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T13:39:22.761661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q142
median225
Q3552
95-th percentile1453.8
Maximum2989
Range2989
Interquartile range (IQR)510

Descriptive statistics

Standard deviation532.17875
Coefficient of variation (CV)1.3270065
Kurtosis7.0212594
Mean401.03704
Median Absolute Deviation (MAD)225
Skewness2.4190889
Sum75796
Variance283214.22
MonotonicityNot monotonic
2024-04-17T13:39:22.868633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 40
 
21.2%
172 2
 
1.1%
59 2
 
1.1%
28 2
 
1.1%
49 2
 
1.1%
162 2
 
1.1%
74 2
 
1.1%
287 2
 
1.1%
289 2
 
1.1%
552 2
 
1.1%
Other values (131) 131
69.3%
ValueCountFrequency (%)
0 40
21.2%
3 1
 
0.5%
13 1
 
0.5%
23 1
 
0.5%
24 1
 
0.5%
28 2
 
1.1%
40 1
 
0.5%
42 1
 
0.5%
45 1
 
0.5%
49 2
 
1.1%
ValueCountFrequency (%)
2989 1
0.5%
2706 1
0.5%
2689 1
0.5%
2335 1
0.5%
2286 1
0.5%
1871 1
0.5%
1770 1
0.5%
1755 1
0.5%
1500 1
0.5%
1475 1
0.5%

openinfocnt
Real number (ℝ)

ZEROS 

Distinct90
Distinct (%)47.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.587302
Minimum0
Maximum298
Zeros42
Zeros (%)22.2%
Negative0
Negative (%)0.0%
Memory size1.8 KiB
2024-04-17T13:39:22.976668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median51
Q389
95-th percentile147
Maximum298
Range298
Interquartile range (IQR)87

Descriptive statistics

Standard deviation52.143614
Coefficient of variation (CV)0.9552334
Kurtosis1.8938718
Mean54.587302
Median Absolute Deviation (MAD)46
Skewness1.0511522
Sum10317
Variance2718.9564
MonotonicityNot monotonic
2024-04-17T13:39:23.094589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 42
 
22.2%
102 4
 
2.1%
60 4
 
2.1%
66 4
 
2.1%
1 4
 
2.1%
87 3
 
1.6%
105 3
 
1.6%
109 3
 
1.6%
51 3
 
1.6%
50 3
 
1.6%
Other values (80) 116
61.4%
ValueCountFrequency (%)
0 42
22.2%
1 4
 
2.1%
2 3
 
1.6%
3 2
 
1.1%
4 1
 
0.5%
5 1
 
0.5%
8 3
 
1.6%
10 2
 
1.1%
12 1
 
0.5%
13 3
 
1.6%
ValueCountFrequency (%)
298 1
0.5%
240 1
0.5%
174 1
0.5%
168 1
0.5%
160 2
1.1%
152 1
0.5%
149 1
0.5%
148 1
0.5%
147 2
1.1%
144 1
0.5%

last_load_dttm
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.6 KiB
2021-05-01 05:44:03
189 

Length

Max length19
Median length19
Mean length19
Min length19

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021-05-01 05:44:03
2nd row2021-05-01 05:44:03
3rd row2021-05-01 05:44:03
4th row2021-05-01 05:44:03
5th row2021-05-01 05:44:03

Common Values

ValueCountFrequency (%)
2021-05-01 05:44:03 189
100.0%

Length

2024-04-17T13:39:23.197472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-17T13:39:23.275651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021-05-01 189
50.0%
05:44:03 189
50.0%

Sample

scalewingnumviewimgpathloctimgpathpanoimgpathlocationcontractorengineergenerationjoopanoimgpathforsslgageplaceimgpathloctimgpathforsslarchitectareanameplaceimgpathforsslimgpathlong_pyeyulspecialistsbusinessentitiesviewimgpathforssltelnoarea_unitphonelocation1nameacoderownumstepguild_mem_numopeninfocntlast_load_dttm
0미정미정http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536209000http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208980http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208850해운대구 재송동 1146번지 일원미정미정미정https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208850220http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208950https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208980미정재송5 주택재건축https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536208950/upload/busi_ara미정미정미정https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812200536209000051-781-184830400㎡051-781-1848<NA>재송5BARA_00000000000321조합설립추진위원회승인002021-05-01 05:44:03
1지하5층지상35층/연면적 206647㎡17동http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100420243310http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100419177810http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812280945151120부산진구 전포동 15-2번지대림건설-1401(임대72)https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812280945151120275.93http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100420243270https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100419177810신성전포1-1 재개발https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100420243270/upload/busi_ara12.95건인도시개발전포1-1주택재개발정비사업조합https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100420243310051-808-692058152051-808-6920<NA>전포1-1BARA_00000000000572이주철거착공신고413192021-05-01 05:44:03
2지하3층지상30층/연면적 291993.5053㎡27http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120307246240http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100428073780http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100428073720부산진구 전포동 268번지 일원현대산업개발(주)중앙엔지니어링2144(임대 109)https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100428073720250.4http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120307245700https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812100428073780(주)상지이앤에이전포2-1 재개발https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120307245700/upload/busi_ara15.95정일마스터플랜전포2-1주택재개발정비사업조합https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120307246240051-807-6461103928.1051-807-6461<NA>전포2-1BARA_00000000000493준공인가781842021-05-01 05:44:03
3지하3-4층 지상39층 연면적 91994㎡5http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099440http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099410http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099210동구 좌천동 67-27번지 120번지 일원일동(주)혜원까치종합건축사사무소546(오피스텔68)https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099210838.48http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099260https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099410도건좌천2 도시환경정비구역https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099260/upload/busi_ara59.70서진씨앤디좌천2구역 도시환경정비사업조합https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080833099440051-631-13107475.4㎡051-631-1310<NA>좌천2BARA_00000000001564이주철거착공신고231332021-05-01 05:44:03
4지하4층 지상48층 연면적 110992.89㎡2http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587310http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587290http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587210동구 범일동 252-753번지 일원삼부토건LH공사652(오피스텔 139)https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587210850.00http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812090531430280https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587290앙코르좌천범일8 도시환경정비구역https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812090531430280/upload/busi_ara49.30-LH공사https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080919587310051-647-258810936.1㎡051-647-2588<NA>좌천범일8지구BARA_00000000001585이전고시1302021-05-01 05:44:03
5지하4층 지상55~60층4http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811070226028920http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811070226028800http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811070226028700동구 범일동 68-119번지 일원미정미정1750https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811070226028700905.48http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811070226028770https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811070226028800(주)신도시엔지니어링종합건축사사무소좌천범일통합2 도시환경정비구역https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811070226028770/upload/busi_ara33.82(주)통일감정평가법인좌천범일구역통합2지구도시환경정비사업조합https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811070226028920051-914-366646610.5㎡051-914-3666<NA>좌천범일통합2지구BARA_00000000001606조합설립인가568632021-05-01 05:44:03
6지하5층/지상49층 연면적 334447.3484㎡8http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080823158970http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080823158930http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080823158670동구 범일동 252-1562번지 일원두산건설미정2040세대(오피스델 345호)https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080823158670841.2891http://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080823158780https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080823158930삼중좌천범일통합3 도시환경정비구역https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080823158780/upload/busi_ara33.6848우영SD좌천범일통합3지구 도시환경정비사업조합https://dynamice.busan.go.kr/upload/busi_ara/BARA_201811080823158970051-638-007144226.70051-638-0071<NA>좌천범일통합3지구BARA_00000000001597이주철거착공신고8101322021-05-01 05:44:03
7지하5층/45층3동http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130927184880http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130927184860http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812180853396010사상구 주례동 439-1번지 일원미정-424세대https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812180853396010655%이하http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130927184830https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130927184860한진개발공사주례1도시환경정비구역https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130927184830/upload/busi_ara60미정주례1구역 도시환경 정비사업 조합https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130927184880051-311-103510903051-311-1035<NA>주례1BARA_00000000002308조합설립추진위원회승인002021-05-01 05:44:03
8지하2층/37층 연면적 158223㎡9동http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130954217720http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130930283010http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130930282870사상구 주례동 809번지 일원롯데건설-998세대(임대50)https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130930282870263.55%http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130954217600https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130930283010희담종합건축주례2주택재개발정비구역https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130954217600/upload/busi_ara12.05%정림건축주례2주택재개발정비사업조합https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812130954217720051-312-016643982051-312-0166<NA>주례2BARA_00000000002299이주철거착공신고107652021-05-01 05:44:03
9지하4층/지상49층 연면적 151838.07444http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812240311144740http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812240311144720http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812240311144640해운대구 중동 1597번지일원롯데건설(주)(주)희림종합건축사사무소828(오피스텔78)https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812240311144640888.68http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812240311144680https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812240311144720앙코르중동3 도시환경https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812240311144680/upload/busi_ara59.79-(주)하나자산신탁https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812240311144740051-746-798013831㎡051-746-7980<NA>중동3도시환경BARA_000000000002310이전고시0102021-05-01 05:44:03
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182지하3층지상30층연면적 104680㎡9http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120200518760http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120203287380http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812240143202070부산진구 초읍동 556번지 일원코오롱건설-756(임대 40)https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812240143202070249.06http://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120200518640https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120203287380일신건축초읍2주택재개발정비구역https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120200518640/upload/busi_ara15.00제이앤케이초읍2주택재개발정비사업조합https://dynamice.busan.go.kr/upload/busi_ara/BARA_201812120200518760051-808-184428597.9051-808-1844<NA>초읍2BARA_0000000000048183관리처분계획1621092021-05-01 05:44:03
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