Overview

Dataset statistics

Number of variables8
Number of observations483
Missing cells256
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory30.8 KiB
Average record size in memory65.3 B

Variable types

Text5
Numeric1
Categorical2

Dataset

Description울산광역시 개인, 법인 건축관련업체(사무소명, 도로명주소, 주소, 신고건축사, 신고구분 등) 정보를 제공하고 있음.
Author울산광역시
URLhttps://www.data.go.kr/data/15083095/fileData.do

Alerts

영업구분 is highly imbalanced (51.2%)Imbalance
주소 has 256 (53.0%) missing valuesMissing

Reproduction

Analysis started2024-03-23 06:32:42.617487
Analysis finished2024-03-23 06:32:45.568424
Duration2.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

신고번호
Text

Distinct465
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-03-23T06:32:46.324509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length21
Mean length20.774327
Min length19

Characters and Unicode

Total characters10034
Distinct characters21
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique452 ?
Unique (%)93.6%

Sample

1st row1985-울산광역시-건축사사무소-41
2nd row1985-울산광역시-건축사사무소-42
3rd row1987-울산광역시-건축사사무소-7
4th row1990-울산광역시-건축사사무소-6
5th row1990-울산광역시-건축사사무소-43
ValueCountFrequency (%)
1996-울산광역시-건축사사무소-54 5
 
1.0%
2008-울산광역시-건축사사무소-277 4
 
0.8%
2008-울산광역시-건축사사무소-273 2
 
0.4%
2006-울산광역시-건축사사무소-256 2
 
0.4%
2000-울산광역시-건축사사무소-167 2
 
0.4%
2000-울산광역시-건축사사무소-150 2
 
0.4%
1996-울산광역시-건축사사무소-61 2
 
0.4%
1995-울산광역시-건축사사무소-23 2
 
0.4%
2016-울산광역시-건축사사무소-358 2
 
0.4%
2019-울산광역시-건축사사무소-393 2
 
0.4%
Other values (455) 458
94.8%
2024-03-23T06:32:48.300361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1449
14.4%
사 966
 
9.6%
2 666
 
6.6%
0 635
 
6.3%
1 505
 
5.0%
건 483
 
4.8%
소 483
 
4.8%
무 483
 
4.8%
축 483
 
4.8%
시 483
 
4.8%
Other values (11) 3398
33.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5313
52.9%
Decimal Number 3272
32.6%
Dash Punctuation 1449
 
14.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 966
18.2%
건 483
9.1%
소 483
9.1%
무 483
9.1%
축 483
9.1%
시 483
9.1%
역 483
9.1%
광 483
9.1%
산 483
9.1%
울 483
9.1%
Decimal Number
ValueCountFrequency (%)
2 666
20.4%
0 635
19.4%
1 505
15.4%
9 421
12.9%
3 248
 
7.6%
4 198
 
6.1%
5 170
 
5.2%
6 156
 
4.8%
7 148
 
4.5%
8 125
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 1449
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5313
52.9%
Common 4721
47.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1449
30.7%
2 666
14.1%
0 635
13.5%
1 505
 
10.7%
9 421
 
8.9%
3 248
 
5.3%
4 198
 
4.2%
5 170
 
3.6%
6 156
 
3.3%
7 148
 
3.1%
Hangul
ValueCountFrequency (%)
사 966
18.2%
건 483
9.1%
소 483
9.1%
무 483
9.1%
축 483
9.1%
시 483
9.1%
역 483
9.1%
광 483
9.1%
산 483
9.1%
울 483
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5313
52.9%
ASCII 4721
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1449
30.7%
2 666
14.1%
0 635
13.5%
1 505
 
10.7%
9 421
 
8.9%
3 248
 
5.3%
4 198
 
4.2%
5 170
 
3.6%
6 156
 
3.3%
7 148
 
3.1%
Hangul
ValueCountFrequency (%)
사 966
18.2%
건 483
9.1%
소 483
9.1%
무 483
9.1%
축 483
9.1%
시 483
9.1%
역 483
9.1%
광 483
9.1%
산 483
9.1%
울 483
9.1%

신고일
Real number (ℝ)

Distinct392
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20066084
Minimum19850701
Maximum20240130
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.4 KiB
2024-03-23T06:32:48.952286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19850701
5-th percentile19950927
Q119990127
median20050201
Q320160115
95-th percentile20220223
Maximum20240130
Range389429
Interquartile range (IQR)169988

Descriptive statistics

Standard deviation94518.666
Coefficient of variation (CV)0.0047103693
Kurtosis-1.2458727
Mean20066084
Median Absolute Deviation (MAD)80014
Skewness0.23853553
Sum9.6919186 × 109
Variance8.9337782 × 109
MonotonicityNot monotonic
2024-03-23T06:32:49.875110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19960104 5
 
1.0%
19951110 5
 
1.0%
20160126 4
 
0.8%
20080704 4
 
0.8%
19971224 4
 
0.8%
19951214 4
 
0.8%
20170111 4
 
0.8%
20050201 4
 
0.8%
19951108 3
 
0.6%
20220223 3
 
0.6%
Other values (382) 443
91.7%
ValueCountFrequency (%)
19850701 2
0.4%
19871204 1
0.2%
19900413 1
0.2%
19900803 1
0.2%
19901217 1
0.2%
19920720 1
0.2%
19930814 1
0.2%
19931022 2
0.4%
19931218 1
0.2%
19931228 1
0.2%
ValueCountFrequency (%)
20240130 1
0.2%
20231130 1
0.2%
20230912 1
0.2%
20230517 1
0.2%
20230508 1
0.2%
20230406 1
0.2%
20230222 1
0.2%
20230220 1
0.2%
20221209 1
0.2%
20221130 1
0.2%

영업구분
Categorical

IMBALANCE 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
등록영업중
321 
폐업
129 
전출
 
17
전입영업중
 
13
휴업
 
2

Length

Max length5
Median length5
Mean length4.0786749
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row폐업
2nd row등록영업중
3rd row폐업
4th row폐업
5th row폐업

Common Values

ValueCountFrequency (%)
등록영업중 321
66.5%
폐업 129
26.7%
전출 17
 
3.5%
전입영업중 13
 
2.7%
휴업 2
 
0.4%
<NA> 1
 
0.2%

Length

2024-03-23T06:32:51.085285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:32:51.581131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록영업중 321
66.5%
폐업 129
26.7%
전출 17
 
3.5%
전입영업중 13
 
2.7%
휴업 2
 
0.4%
na 1
 
0.2%

신고구분
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
개인
404 
법인
79 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 404
83.6%
법인 79
 
16.4%

Length

2024-03-23T06:32:52.181630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T06:32:52.756773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 404
83.6%
법인 79
 
16.4%

사무소명
Text

Distinct440
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-03-23T06:32:53.614708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length20
Mean length9.9171843
Min length5

Characters and Unicode

Total characters4790
Distinct characters266
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique403 ?
Unique (%)83.4%

Sample

1st row대우건축사사무소
2nd row현대종합건축사사무소
3rd row대림건축사사무소
4th row효성건축사사무소
5th row성림종합건축사사무소
ValueCountFrequency (%)
건축사사무소 101
 
16.2%
주식회사 19
 
3.1%
주)대흥종합엔지니어링건축사사무소 5
 
0.8%
종합건축사사무소 5
 
0.8%
제이앤지 4
 
0.6%
주)종합건축사사무소 4
 
0.6%
주)라온그룹 3
 
0.5%
탑건축사사무소 2
 
0.3%
건축그룹원종합건축사사무소 2
 
0.3%
한백건축사사무소 2
 
0.3%
Other values (441) 475
76.4%
2024-03-23T06:32:55.156752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 991
20.7%
건 500
 
10.4%
축 490
 
10.2%
무 486
 
10.1%
소 481
 
10.0%
142
 
3.0%
주 81
 
1.7%
종 72
 
1.5%
합 72
 
1.5%
( 59
 
1.2%
Other values (256) 1416
29.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4461
93.1%
Space Separator 142
 
3.0%
Open Punctuation 59
 
1.2%
Close Punctuation 59
 
1.2%
Uppercase Letter 43
 
0.9%
Other Punctuation 15
 
0.3%
Lowercase Letter 10
 
0.2%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 991
22.2%
건 500
11.2%
축 490
11.0%
무 486
10.9%
소 481
10.8%
주 81
 
1.8%
종 72
 
1.6%
합 72
 
1.6%
이 45
 
1.0%
지 43
 
1.0%
Other values (222) 1200
26.9%
Uppercase Letter
ValueCountFrequency (%)
M 5
 
11.6%
S 5
 
11.6%
E 3
 
7.0%
U 3
 
7.0%
O 3
 
7.0%
N 2
 
4.7%
J 2
 
4.7%
F 2
 
4.7%
D 2
 
4.7%
A 2
 
4.7%
Other values (9) 14
32.6%
Lowercase Letter
ValueCountFrequency (%)
o 2
20.0%
h 2
20.0%
p 1
10.0%
s 1
10.0%
k 1
10.0%
r 1
10.0%
w 1
10.0%
d 1
10.0%
Other Punctuation
ValueCountFrequency (%)
. 12
80.0%
" 2
 
13.3%
& 1
 
6.7%
Space Separator
ValueCountFrequency (%)
142
100.0%
Open Punctuation
ValueCountFrequency (%)
( 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 59
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4461
93.1%
Common 276
 
5.8%
Latin 53
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 991
22.2%
건 500
11.2%
축 490
11.0%
무 486
10.9%
소 481
10.8%
주 81
 
1.8%
종 72
 
1.6%
합 72
 
1.6%
이 45
 
1.0%
지 43
 
1.0%
Other values (222) 1200
26.9%
Latin
ValueCountFrequency (%)
M 5
 
9.4%
S 5
 
9.4%
E 3
 
5.7%
U 3
 
5.7%
O 3
 
5.7%
N 2
 
3.8%
J 2
 
3.8%
F 2
 
3.8%
D 2
 
3.8%
o 2
 
3.8%
Other values (17) 24
45.3%
Common
ValueCountFrequency (%)
142
51.4%
( 59
21.4%
) 59
21.4%
. 12
 
4.3%
" 2
 
0.7%
2 1
 
0.4%
& 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4461
93.1%
ASCII 329
 
6.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 991
22.2%
건 500
11.2%
축 490
11.0%
무 486
10.9%
소 481
10.8%
주 81
 
1.8%
종 72
 
1.6%
합 72
 
1.6%
이 45
 
1.0%
지 43
 
1.0%
Other values (222) 1200
26.9%
ASCII
ValueCountFrequency (%)
142
43.2%
( 59
17.9%
) 59
17.9%
. 12
 
3.6%
M 5
 
1.5%
S 5
 
1.5%
E 3
 
0.9%
U 3
 
0.9%
O 3
 
0.9%
N 2
 
0.6%
Other values (24) 36
 
10.9%

도로명주소
Text

Distinct407
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-03-23T06:32:55.978909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39
Mean length23.606625
Min length1

Characters and Unicode

Total characters11402
Distinct characters245
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

Unique359 ?
Unique (%)74.3%

Sample

1st row울산광역시 남구 돋질로 77
2nd row울산광역시 남구 봉월로 24, 3층
3rd row울산광역시 남구 중앙로 176, 경성빌딩 4층 406호
4th row울산광역시 중구 중앙길 206
5th row울산광역시 남구 중앙로 232
ValueCountFrequency (%)
울산광역시 467
 
19.3%
남구 276
 
11.4%
중구 111
 
4.6%
2층 71
 
2.9%
울주군 54
 
2.2%
3층 39
 
1.6%
1층 33
 
1.4%
4층 27
 
1.1%
12 24
 
1.0%
북구 21
 
0.9%
Other values (618) 1298
53.6%
2024-03-23T06:32:57.436923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1970
 
17.3%
1 569
 
5.0%
울 536
 
4.7%
산 519
 
4.6%
시 469
 
4.1%
광 468
 
4.1%
역 468
 
4.1%
구 445
 
3.9%
2 431
 
3.8%
, 370
 
3.2%
Other values (235) 5157
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6466
56.7%
Decimal Number 2306
 
20.2%
Space Separator 1970
 
17.3%
Other Punctuation 374
 
3.3%
Dash Punctuation 115
 
1.0%
Open Punctuation 68
 
0.6%
Close Punctuation 68
 
0.6%
Uppercase Letter 33
 
0.3%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 536
 
8.3%
산 519
 
8.0%
시 469
 
7.3%
광 468
 
7.2%
역 468
 
7.2%
구 445
 
6.9%
로 354
 
5.5%
남 310
 
4.8%
길 261
 
4.0%
층 231
 
3.6%
Other values (200) 2405
37.2%
Uppercase Letter
ValueCountFrequency (%)
C 5
15.2%
B 4
12.1%
F 3
9.1%
S 3
9.1%
D 3
9.1%
M 3
9.1%
A 2
 
6.1%
I 2
 
6.1%
E 1
 
3.0%
N 1
 
3.0%
Other values (6) 6
18.2%
Decimal Number
ValueCountFrequency (%)
1 569
24.7%
2 431
18.7%
3 281
12.2%
0 233
10.1%
4 227
 
9.8%
6 162
 
7.0%
5 114
 
4.9%
7 105
 
4.6%
8 97
 
4.2%
9 87
 
3.8%
Other Punctuation
ValueCountFrequency (%)
, 370
98.9%
. 3
 
0.8%
/ 1
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
1970
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Open Punctuation
ValueCountFrequency (%)
( 68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6466
56.7%
Common 4901
43.0%
Latin 35
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 536
 
8.3%
산 519
 
8.0%
시 469
 
7.3%
광 468
 
7.2%
역 468
 
7.2%
구 445
 
6.9%
로 354
 
5.5%
남 310
 
4.8%
길 261
 
4.0%
층 231
 
3.6%
Other values (200) 2405
37.2%
Latin
ValueCountFrequency (%)
C 5
14.3%
B 4
11.4%
F 3
 
8.6%
S 3
 
8.6%
D 3
 
8.6%
M 3
 
8.6%
A 2
 
5.7%
I 2
 
5.7%
E 1
 
2.9%
N 1
 
2.9%
Other values (8) 8
22.9%
Common
ValueCountFrequency (%)
1970
40.2%
1 569
 
11.6%
2 431
 
8.8%
, 370
 
7.5%
3 281
 
5.7%
0 233
 
4.8%
4 227
 
4.6%
6 162
 
3.3%
- 115
 
2.3%
5 114
 
2.3%
Other values (7) 429
 
8.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6466
56.7%
ASCII 4936
43.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1970
39.9%
1 569
 
11.5%
2 431
 
8.7%
, 370
 
7.5%
3 281
 
5.7%
0 233
 
4.7%
4 227
 
4.6%
6 162
 
3.3%
- 115
 
2.3%
5 114
 
2.3%
Other values (25) 464
 
9.4%
Hangul
ValueCountFrequency (%)
울 536
 
8.3%
산 519
 
8.0%
시 469
 
7.3%
광 468
 
7.2%
역 468
 
7.2%
구 445
 
6.9%
로 354
 
5.5%
남 310
 
4.8%
길 261
 
4.0%
층 231
 
3.6%
Other values (200) 2405
37.2%

주소
Text

MISSING 

Distinct192
Distinct (%)84.6%
Missing256
Missing (%)53.0%
Memory size3.9 KiB
2024-03-23T06:32:58.338048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length38
Mean length25.048458
Min length19

Characters and Unicode

Total characters5686
Distinct characters126
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)72.2%

Sample

1st row울산광역시 남구 신정동 대지 585-6
2nd row울산광역시 남구 달동 대지 880-2 경성빌딩 4층 406호
3rd row울산광역시 중구 학산동 대지 152-2
4th row울산광역시 남구 신정동 대지 176-5
5th row울산광역시 남구 달동 대지 876-5
ValueCountFrequency (%)
울산광역시 224
17.4%
대지 223
17.4%
남구 160
 
12.5%
신정동 85
 
6.6%
중구 43
 
3.3%
달동 38
 
3.0%
2층 28
 
2.2%
3층 23
 
1.8%
삼산동 21
 
1.6%
4층 15
 
1.2%
Other values (266) 425
33.1%
2024-03-23T06:32:59.985514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1188
20.9%
1 283
 
5.0%
산 259
 
4.6%
울 238
 
4.2%
- 231
 
4.1%
동 226
 
4.0%
대 225
 
4.0%
지 224
 
3.9%
시 224
 
3.9%
역 224
 
3.9%
Other values (116) 2364
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3011
53.0%
Decimal Number 1228
21.6%
Space Separator 1188
 
20.9%
Dash Punctuation 231
 
4.1%
Close Punctuation 10
 
0.2%
Open Punctuation 10
 
0.2%
Other Punctuation 5
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 259
 
8.6%
울 238
 
7.9%
동 226
 
7.5%
대 225
 
7.5%
지 224
 
7.4%
시 224
 
7.4%
역 224
 
7.4%
구 224
 
7.4%
광 224
 
7.4%
남 169
 
5.6%
Other values (97) 774
25.7%
Decimal Number
ValueCountFrequency (%)
1 283
23.0%
2 174
14.2%
3 138
11.2%
4 118
9.6%
5 107
 
8.7%
0 98
 
8.0%
6 97
 
7.9%
8 81
 
6.6%
7 79
 
6.4%
9 53
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
M 1
33.3%
D 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
1188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 231
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3011
53.0%
Common 2672
47.0%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 259
 
8.6%
울 238
 
7.9%
동 226
 
7.5%
대 225
 
7.5%
지 224
 
7.4%
시 224
 
7.4%
역 224
 
7.4%
구 224
 
7.4%
광 224
 
7.4%
남 169
 
5.6%
Other values (97) 774
25.7%
Common
ValueCountFrequency (%)
1188
44.5%
1 283
 
10.6%
- 231
 
8.6%
2 174
 
6.5%
3 138
 
5.2%
4 118
 
4.4%
5 107
 
4.0%
0 98
 
3.7%
6 97
 
3.6%
8 81
 
3.0%
Other values (6) 157
 
5.9%
Latin
ValueCountFrequency (%)
B 1
33.3%
M 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3011
53.0%
ASCII 2675
47.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1188
44.4%
1 283
 
10.6%
- 231
 
8.6%
2 174
 
6.5%
3 138
 
5.2%
4 118
 
4.4%
5 107
 
4.0%
0 98
 
3.7%
6 97
 
3.6%
8 81
 
3.0%
Other values (9) 160
 
6.0%
Hangul
ValueCountFrequency (%)
산 259
 
8.6%
울 238
 
7.9%
동 226
 
7.5%
대 225
 
7.5%
지 224
 
7.4%
시 224
 
7.4%
역 224
 
7.4%
구 224
 
7.4%
광 224
 
7.4%
남 169
 
5.6%
Other values (97) 774
25.7%

신고건축사
Text

Distinct413
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size3.9 KiB
2024-03-23T06:33:01.127831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.989648
Min length2

Characters and Unicode

Total characters1444
Distinct characters156
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique356 ?
Unique (%)73.7%

Sample

1st row박문성
2nd row노진달
3rd row전종호
4th row박영대
5th row박재욱
ValueCountFrequency (%)
김원종 5
 
1.0%
박병우 4
 
0.8%
박문철 4
 
0.8%
박수근 3
 
0.6%
김대진 3
 
0.6%
김형수 3
 
0.6%
이성우 3
 
0.6%
김진산 3
 
0.6%
이채웅 3
 
0.6%
차재철 2
 
0.4%
Other values (403) 450
93.2%
2024-03-23T06:33:02.833635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 113
 
7.8%
이 81
 
5.6%
박 66
 
4.6%
영 48
 
3.3%
정 43
 
3.0%
진 39
 
2.7%
수 31
 
2.1%
현 29
 
2.0%
종 28
 
1.9%
성 27
 
1.9%
Other values (146) 939
65.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1444
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 113
 
7.8%
이 81
 
5.6%
박 66
 
4.6%
영 48
 
3.3%
정 43
 
3.0%
진 39
 
2.7%
수 31
 
2.1%
현 29
 
2.0%
종 28
 
1.9%
성 27
 
1.9%
Other values (146) 939
65.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1444
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 113
 
7.8%
이 81
 
5.6%
박 66
 
4.6%
영 48
 
3.3%
정 43
 
3.0%
진 39
 
2.7%
수 31
 
2.1%
현 29
 
2.0%
종 28
 
1.9%
성 27
 
1.9%
Other values (146) 939
65.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1444
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 113
 
7.8%
이 81
 
5.6%
박 66
 
4.6%
영 48
 
3.3%
정 43
 
3.0%
진 39
 
2.7%
수 31
 
2.1%
현 29
 
2.0%
종 28
 
1.9%
성 27
 
1.9%
Other values (146) 939
65.0%

Interactions

2024-03-23T06:32:43.958769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T06:33:03.158859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고일영업구분신고구분
신고일1.0000.4080.182
영업구분0.4081.0000.104
신고구분0.1820.1041.000
2024-03-23T06:33:03.388106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업구분신고구분
영업구분1.0000.127
신고구분0.1271.000
2024-03-23T06:33:03.706661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
신고일영업구분신고구분
신고일1.0000.1790.141
영업구분0.1791.0000.127
신고구분0.1410.1271.000

Missing values

2024-03-23T06:32:44.440195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:32:45.243470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

신고번호신고일영업구분신고구분사무소명도로명주소주소신고건축사
01985-울산광역시-건축사사무소-4119850701폐업개인대우건축사사무소울산광역시 남구 돋질로 77울산광역시 남구 신정동 대지 585-6박문성
11985-울산광역시-건축사사무소-4219850701등록영업중개인현대종합건축사사무소울산광역시 남구 봉월로 24, 3층<NA>노진달
21987-울산광역시-건축사사무소-719871204폐업개인대림건축사사무소울산광역시 남구 중앙로 176, 경성빌딩 4층 406호울산광역시 남구 달동 대지 880-2 경성빌딩 4층 406호전종호
31990-울산광역시-건축사사무소-619900803폐업개인효성건축사사무소울산광역시 중구 중앙길 206울산광역시 중구 학산동 대지 152-2박영대
41990-울산광역시-건축사사무소-4319900413폐업개인성림종합건축사사무소울산광역시 남구 중앙로 232울산광역시 남구 신정동 대지 176-5박재욱
51990-울산광역시-건축사사무소-4419901217폐업개인예원종합건축사사무소울산광역시 남구 돋질로76번길 6울산광역시 남구 달동 대지 876-5김기원
61992-울산광역시-건축사사무소-819920720폐업개인창조건축사사무소울산광역시 남구 돋질로 83울산광역시 남구 신정동 대지 586-10김종택
71993-울산광역시-건축사사무소-119931022폐업개인고미건축사사무소울산광역시 남구 북부순환도로 8, 홍림빌딩 301호울산광역시 남구 무거동 대지 1439-6 홍림빌딩 301호김일건
81993-울산광역시-건축사사무소-219931218등록영업중개인우성종합건축사사무소울산광역시 중구 가구거리 40-1울산광역시 중구 학성동 대지 192-11최광식
91993-울산광역시-건축사사무소-319931228등록영업중개인건우건축사사무소울산광역시 남구 수암로 32, 3층, 302호울산광역시 남구 신정동 대지 736-3김종민
신고번호신고일영업구분신고구분사무소명도로명주소주소신고건축사
4732022-울산광역시-건축사사무소-46520221130등록영업중개인행운산업안전지도사 건축사사무소울산광역시 남구 중앙로156번길 9, 2층 203호<NA>조창대
4742022-울산광역시-건축사사무소-46620221209등록영업중개인다현건축사사무소울산광역시 중구 염포로 74, 3층<NA>권다현
4752023-울산광역시-건축사사무소-46720230220등록영업중개인림아키건축사사무소울산광역시 중구 종가로 406-21, 울산비즈파크 C동 836호<NA>임현정
4762023-울산광역시-건축사사무소-46820230222등록영업중개인건담 건축사사무소울산광역시 남구 삼산로35번길 42, 3F<NA>전우진
4772023-울산광역시-건축사사무소-46920230406등록영업중개인건축사사무소 SOO울산광역시 울주군 두동면 이전천변길 87-30, 지하 1층<NA>최수영
4782023-울산광역시-건축사사무소-47020230508등록영업중개인다가온건축사사무소울산광역시 울주군 범서읍 굴화1길 64-5, 3층 302호<NA>박근형
4792023-울산광역시-건축사사무소-47120230517등록영업중개인동준건축사사무소울산광역시 중구 종가로 406-21, 울산비즈파크C동 435호<NA>박용준
4802023-울산광역시-건축사사무소-47220230912등록영업중개인화강건축사사무소울산광역시 남구 삼산로395번길 1, 1609호<NA>정성문
4812023-울산광역시-건축사사무소-47320231130등록영업중개인엠.에이.디. 건축사사무소울산광역시 남구 월평로85번길 3, 1층<NA>민종갑
4822024-울산광역시-건축사사무소-47420240130등록영업중개인에이로그건축사사무소울산광역시 남구 봉월로 167, 오피스텔동 501호<NA>안지수