Overview

Dataset statistics

Number of variables7
Number of observations846
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory47.2 KiB
Average record size in memory57.2 B

Variable types

Numeric1
Text4
Categorical2

Dataset

Description경상남도 내 등록된 건축사사무소 현황입니다. 신고번호, 영업구분, 신고구분, 사무소명, 도로명주소 및 주소 데이터를 포함하고 있습니다.
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=3078640

Alerts

영업구분 is highly imbalanced (77.3%)Imbalance
신고구분 is highly imbalanced (51.1%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 23:33:08.060670
Analysis finished2023-12-10 23:33:08.752340
Duration0.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct846
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean423.5
Minimum1
Maximum846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.6 KiB
2023-12-11T08:33:08.817336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile43.25
Q1212.25
median423.5
Q3634.75
95-th percentile803.75
Maximum846
Range845
Interquartile range (IQR)422.5

Descriptive statistics

Standard deviation244.36346
Coefficient of variation (CV)0.57700935
Kurtosis-1.2
Mean423.5
Median Absolute Deviation (MAD)211.5
Skewness0
Sum358281
Variance59713.5
MonotonicityStrictly increasing
2023-12-11T08:33:08.939219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
583 1
 
0.1%
559 1
 
0.1%
560 1
 
0.1%
561 1
 
0.1%
562 1
 
0.1%
563 1
 
0.1%
564 1
 
0.1%
565 1
 
0.1%
566 1
 
0.1%
Other values (836) 836
98.8%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
846 1
0.1%
845 1
0.1%
844 1
0.1%
843 1
0.1%
842 1
0.1%
841 1
0.1%
840 1
0.1%
839 1
0.1%
838 1
0.1%
837 1
0.1%

신고번호
Text

Distinct833
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-11T08:33:09.135375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length20.447991
Min length19

Characters and Unicode

Total characters17299
Distinct characters20
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

Unique820 ?
Unique (%)96.9%

Sample

1st row1985-경상남도-건축사사무소-22
2nd row1985-경상남도-건축사사무소-25
3rd row1985-경상남도-건축사사무소-30
4th row1985-경상남도-건축사사무소-36
5th row1985-경상남도-건축사사무소-42
ValueCountFrequency (%)
2018-경상남도-건축사사무소-1273 2
 
0.2%
2020-경상남도-건축사사무소-1340 2
 
0.2%
2001-경상남도-건축사사무소-703 2
 
0.2%
2011-경상남도-건축사사무소-1019 2
 
0.2%
1998-경상남도-건축사사무소-553 2
 
0.2%
2006-경상남도-건축사사무소-856 2
 
0.2%
2014-경상남도-건축사사무소-1131 2
 
0.2%
2021-경상남도-건축사사무소-1392 2
 
0.2%
2011-경상남도-건축사사무소-1039 2
 
0.2%
2007-경상남도-건축사사무소-904 2
 
0.2%
Other values (823) 826
97.6%
2023-12-11T08:33:09.463007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2538
14.7%
사 1692
 
9.8%
0 1293
 
7.5%
1 1213
 
7.0%
2 1169
 
6.8%
건 846
 
4.9%
소 846
 
4.9%
무 846
 
4.9%
축 846
 
4.9%
도 846
 
4.9%
Other values (10) 5164
29.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8460
48.9%
Decimal Number 6301
36.4%
Dash Punctuation 2538
 
14.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1293
20.5%
1 1213
19.3%
2 1169
18.6%
9 678
10.8%
3 376
 
6.0%
6 325
 
5.2%
8 317
 
5.0%
4 316
 
5.0%
5 311
 
4.9%
7 303
 
4.8%
Other Letter
ValueCountFrequency (%)
사 1692
20.0%
건 846
10.0%
소 846
10.0%
무 846
10.0%
축 846
10.0%
도 846
10.0%
남 846
10.0%
상 846
10.0%
경 846
10.0%
Dash Punctuation
ValueCountFrequency (%)
- 2538
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8839
51.1%
Hangul 8460
48.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2538
28.7%
0 1293
14.6%
1 1213
13.7%
2 1169
13.2%
9 678
 
7.7%
3 376
 
4.3%
6 325
 
3.7%
8 317
 
3.6%
4 316
 
3.6%
5 311
 
3.5%
Hangul
ValueCountFrequency (%)
사 1692
20.0%
건 846
10.0%
소 846
10.0%
무 846
10.0%
축 846
10.0%
도 846
10.0%
남 846
10.0%
상 846
10.0%
경 846
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8839
51.1%
Hangul 8460
48.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2538
28.7%
0 1293
14.6%
1 1213
13.7%
2 1169
13.2%
9 678
 
7.7%
3 376
 
4.3%
6 325
 
3.7%
8 317
 
3.6%
4 316
 
3.6%
5 311
 
3.5%
Hangul
ValueCountFrequency (%)
사 1692
20.0%
건 846
10.0%
소 846
10.0%
무 846
10.0%
축 846
10.0%
도 846
10.0%
남 846
10.0%
상 846
10.0%
경 846
10.0%

영업구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
등록영업중
815 
전입영업중
 
31

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록영업중 815
96.3%
전입영업중 31
 
3.7%

Length

2023-12-11T08:33:09.591003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:33:09.684327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록영업중 815
96.3%
전입영업중 31
 
3.7%

신고구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
개인
756 
법인
90 

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 756
89.4%
법인 90
 
10.6%

Length

2023-12-11T08:33:09.768685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:33:09.849277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 756
89.4%
법인 90
 
10.6%

사무소명
Text

Distinct828
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-11T08:33:10.075089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length17
Mean length9.4349882
Min length7

Characters and Unicode

Total characters7982
Distinct characters326
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique810 ?
Unique (%)95.7%

Sample

1st row아림신중광건축사사무소
2nd row동원건축사(사)
3rd row건축사사무소 남향
4th row대우건축사(사)
5th row광성아키월드건축사사무소
ValueCountFrequency (%)
건축사사무소 109
 
10.9%
주식회사 18
 
1.8%
종합건축사사무소 14
 
1.4%
자유건축 3
 
0.3%
사무소 3
 
0.3%
건축사(사)바우하우스 2
 
0.2%
모아건축사사무소 2
 
0.2%
건축사 2
 
0.2%
진성플랜 2
 
0.2%
건축사(사)라인 2
 
0.2%
Other values (830) 846
84.3%
2023-12-11T08:33:10.457882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1730
21.7%
건 901
 
11.3%
축 880
 
11.0%
소 770
 
9.6%
무 761
 
9.5%
158
 
2.0%
( 149
 
1.9%
) 149
 
1.9%
종 110
 
1.4%
합 106
 
1.3%
Other values (316) 2268
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7452
93.4%
Space Separator 158
 
2.0%
Open Punctuation 149
 
1.9%
Close Punctuation 149
 
1.9%
Uppercase Letter 44
 
0.6%
Other Punctuation 12
 
0.2%
Decimal Number 12
 
0.2%
Lowercase Letter 4
 
0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1730
23.2%
건 901
12.1%
축 880
11.8%
소 770
 
10.3%
무 761
 
10.2%
종 110
 
1.5%
합 106
 
1.4%
주 100
 
1.3%
이 89
 
1.2%
성 55
 
0.7%
Other values (284) 1950
26.2%
Uppercase Letter
ValueCountFrequency (%)
A 7
15.9%
C 5
11.4%
M 4
9.1%
D 4
9.1%
S 4
9.1%
G 3
6.8%
B 3
6.8%
E 3
6.8%
L 3
6.8%
T 1
 
2.3%
Other values (7) 7
15.9%
Decimal Number
ValueCountFrequency (%)
2 4
33.3%
8 3
25.0%
9 3
25.0%
7 1
 
8.3%
1 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
i 1
25.0%
z 1
25.0%
w 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 7
58.3%
& 5
41.7%
Space Separator
ValueCountFrequency (%)
158
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7451
93.3%
Common 482
 
6.0%
Latin 48
 
0.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1730
23.2%
건 901
12.1%
축 880
11.8%
소 770
 
10.3%
무 761
 
10.2%
종 110
 
1.5%
합 106
 
1.4%
주 100
 
1.3%
이 89
 
1.2%
성 55
 
0.7%
Other values (283) 1949
26.2%
Latin
ValueCountFrequency (%)
A 7
14.6%
C 5
10.4%
M 4
 
8.3%
D 4
 
8.3%
S 4
 
8.3%
G 3
 
6.2%
B 3
 
6.2%
E 3
 
6.2%
L 3
 
6.2%
e 1
 
2.1%
Other values (11) 11
22.9%
Common
ValueCountFrequency (%)
158
32.8%
( 149
30.9%
) 149
30.9%
. 7
 
1.5%
& 5
 
1.0%
2 4
 
0.8%
8 3
 
0.6%
9 3
 
0.6%
- 2
 
0.4%
7 1
 
0.2%
Han
ValueCountFrequency (%)
陳 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7451
93.3%
ASCII 530
 
6.6%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1730
23.2%
건 901
12.1%
축 880
11.8%
소 770
 
10.3%
무 761
 
10.2%
종 110
 
1.5%
합 106
 
1.4%
주 100
 
1.3%
이 89
 
1.2%
성 55
 
0.7%
Other values (283) 1949
26.2%
ASCII
ValueCountFrequency (%)
158
29.8%
( 149
28.1%
) 149
28.1%
A 7
 
1.3%
. 7
 
1.3%
C 5
 
0.9%
& 5
 
0.9%
M 4
 
0.8%
2 4
 
0.8%
D 4
 
0.8%
Other values (22) 38
 
7.2%
CJK
ValueCountFrequency (%)
陳 1
100.0%

도로명주소
Text

Distinct723
Distinct (%)85.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-11T08:33:10.788069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length42
Mean length25.905437
Min length1

Characters and Unicode

Total characters21916
Distinct characters323
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique664 ?
Unique (%)78.5%

Sample

1st row경상남도 거창군 거창읍 강변로 137-2
2nd row경상남도 진주시 모덕로 62 (4층)
3rd row경상남도 고성군 고성읍 성내로 164, 3층
4th row경상남도 진주시 남강로651번길 11-3
5th row경상남도 창원시 성산구 용지로 70, 919호(중앙동)
ValueCountFrequency (%)
경상남도 793
 
17.5%
창원시 198
 
4.4%
김해시 149
 
3.3%
2층 134
 
3.0%
진주시 114
 
2.5%
의창구 86
 
1.9%
3층 70
 
1.5%
양산시 66
 
1.5%
성산구 53
 
1.2%
1층 46
 
1.0%
Other values (1151) 2827
62.3%
2023-12-11T08:33:11.212024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3807
 
17.4%
남 891
 
4.1%
상 882
 
4.0%
1 819
 
3.7%
도 810
 
3.7%
경 809
 
3.7%
2 788
 
3.6%
시 715
 
3.3%
, 711
 
3.2%
로 669
 
3.1%
Other values (313) 11015
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12627
57.6%
Decimal Number 4058
 
18.5%
Space Separator 3807
 
17.4%
Other Punctuation 718
 
3.3%
Open Punctuation 228
 
1.0%
Close Punctuation 227
 
1.0%
Dash Punctuation 181
 
0.8%
Uppercase Letter 57
 
0.3%
Lowercase Letter 13
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 891
 
7.1%
상 882
 
7.0%
도 810
 
6.4%
경 809
 
6.4%
시 715
 
5.7%
로 669
 
5.3%
길 381
 
3.0%
창 373
 
3.0%
층 368
 
2.9%
호 352
 
2.8%
Other values (275) 6377
50.5%
Uppercase Letter
ValueCountFrequency (%)
B 12
21.1%
T 9
15.8%
K 8
14.0%
H 5
8.8%
A 5
8.8%
F 4
 
7.0%
S 4
 
7.0%
J 3
 
5.3%
I 3
 
5.3%
C 1
 
1.8%
Other values (3) 3
 
5.3%
Decimal Number
ValueCountFrequency (%)
1 819
20.2%
2 788
19.4%
3 517
12.7%
0 427
10.5%
4 394
9.7%
5 314
 
7.7%
6 224
 
5.5%
8 209
 
5.2%
7 202
 
5.0%
9 164
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
y 2
15.4%
g 2
15.4%
o 2
15.4%
i 2
15.4%
d 2
15.4%
m 1
7.7%
c 1
7.7%
e 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 711
99.0%
· 6
 
0.8%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3807
100.0%
Open Punctuation
ValueCountFrequency (%)
( 228
100.0%
Close Punctuation
ValueCountFrequency (%)
) 227
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12627
57.6%
Common 9219
42.1%
Latin 70
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 891
 
7.1%
상 882
 
7.0%
도 810
 
6.4%
경 809
 
6.4%
시 715
 
5.7%
로 669
 
5.3%
길 381
 
3.0%
창 373
 
3.0%
층 368
 
2.9%
호 352
 
2.8%
Other values (275) 6377
50.5%
Latin
ValueCountFrequency (%)
B 12
17.1%
T 9
12.9%
K 8
11.4%
H 5
 
7.1%
A 5
 
7.1%
F 4
 
5.7%
S 4
 
5.7%
J 3
 
4.3%
I 3
 
4.3%
y 2
 
2.9%
Other values (11) 15
21.4%
Common
ValueCountFrequency (%)
3807
41.3%
1 819
 
8.9%
2 788
 
8.5%
, 711
 
7.7%
3 517
 
5.6%
0 427
 
4.6%
4 394
 
4.3%
5 314
 
3.4%
( 228
 
2.5%
) 227
 
2.5%
Other values (7) 987
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12627
57.6%
ASCII 9283
42.4%
None 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3807
41.0%
1 819
 
8.8%
2 788
 
8.5%
, 711
 
7.7%
3 517
 
5.6%
0 427
 
4.6%
4 394
 
4.2%
5 314
 
3.4%
( 228
 
2.5%
) 227
 
2.4%
Other values (27) 1051
 
11.3%
Hangul
ValueCountFrequency (%)
남 891
 
7.1%
상 882
 
7.0%
도 810
 
6.4%
경 809
 
6.4%
시 715
 
5.7%
로 669
 
5.3%
길 381
 
3.0%
창 373
 
3.0%
층 368
 
2.9%
호 352
 
2.8%
Other values (275) 6377
50.5%
None
ValueCountFrequency (%)
· 6
100.0%

주소
Text

Distinct334
Distinct (%)39.5%
Missing0
Missing (%)0.0%
Memory size6.7 KiB
2023-12-11T08:33:11.523952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length7
Mean length15.352246
Min length7

Characters and Unicode

Total characters12988
Distinct characters204
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

Unique317 ?
Unique (%)37.5%

Sample

1st row경상남도 거창군 거창읍 중앙리 대지 483-9
2nd row경상남도 진주시 상대동 대지 775-19 (4층)
3rd row경상남도 고성군 고성읍 성내리 대지 69-1
4th row경상남도 진주시 본성동 대지 4-2
5th row 0-0
ValueCountFrequency (%)
0-0 497
18.6%
경상남도 350
 
13.1%
대지 346
 
12.9%
창원시 82
 
3.1%
김해시 57
 
2.1%
진주시 47
 
1.8%
2층 45
 
1.7%
부원동 43
 
1.6%
3층 37
 
1.4%
양산시 27
 
1.0%
Other values (591) 1142
42.7%
2023-12-11T08:33:11.937577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3971
30.6%
0 1169
 
9.0%
- 849
 
6.5%
상 399
 
3.1%
남 396
 
3.0%
대 372
 
2.9%
1 371
 
2.9%
경 359
 
2.8%
도 359
 
2.8%
지 351
 
2.7%
Other values (194) 4392
33.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5303
40.8%
Space Separator 3971
30.6%
Decimal Number 2831
21.8%
Dash Punctuation 849
 
6.5%
Uppercase Letter 10
 
0.1%
Close Punctuation 7
 
0.1%
Open Punctuation 7
 
0.1%
Other Punctuation 5
 
< 0.1%
Lowercase Letter 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 399
 
7.5%
남 396
 
7.5%
대 372
 
7.0%
경 359
 
6.8%
도 359
 
6.8%
지 351
 
6.6%
동 305
 
5.8%
시 295
 
5.6%
원 143
 
2.7%
창 134
 
2.5%
Other values (169) 2190
41.3%
Decimal Number
ValueCountFrequency (%)
0 1169
41.3%
1 371
 
13.1%
2 275
 
9.7%
3 227
 
8.0%
4 187
 
6.6%
5 152
 
5.4%
6 143
 
5.1%
7 105
 
3.7%
8 101
 
3.6%
9 101
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
A 3
30.0%
B 3
30.0%
D 2
20.0%
K 1
 
10.0%
T 1
 
10.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
40.0%
c 1
20.0%
m 1
20.0%
d 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
3971
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 849
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7670
59.1%
Hangul 5303
40.8%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 399
 
7.5%
남 396
 
7.5%
대 372
 
7.0%
경 359
 
6.8%
도 359
 
6.8%
지 351
 
6.6%
동 305
 
5.8%
시 295
 
5.6%
원 143
 
2.7%
창 134
 
2.5%
Other values (169) 2190
41.3%
Common
ValueCountFrequency (%)
3971
51.8%
0 1169
 
15.2%
- 849
 
11.1%
1 371
 
4.8%
2 275
 
3.6%
3 227
 
3.0%
4 187
 
2.4%
5 152
 
2.0%
6 143
 
1.9%
7 105
 
1.4%
Other values (6) 221
 
2.9%
Latin
ValueCountFrequency (%)
A 3
20.0%
B 3
20.0%
i 2
13.3%
D 2
13.3%
K 1
 
6.7%
T 1
 
6.7%
c 1
 
6.7%
m 1
 
6.7%
d 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7685
59.2%
Hangul 5303
40.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3971
51.7%
0 1169
 
15.2%
- 849
 
11.0%
1 371
 
4.8%
2 275
 
3.6%
3 227
 
3.0%
4 187
 
2.4%
5 152
 
2.0%
6 143
 
1.9%
7 105
 
1.4%
Other values (15) 236
 
3.1%
Hangul
ValueCountFrequency (%)
상 399
 
7.5%
남 396
 
7.5%
대 372
 
7.0%
경 359
 
6.8%
도 359
 
6.8%
지 351
 
6.6%
동 305
 
5.8%
시 295
 
5.6%
원 143
 
2.7%
창 134
 
2.5%
Other values (169) 2190
41.3%

Interactions

2023-12-11T08:33:08.529031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:33:12.017412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업구분신고구분
연번1.0000.1060.134
영업구분0.1061.0000.255
신고구분0.1340.2551.000
2023-12-11T08:33:12.081825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업구분신고구분
영업구분1.0000.164
신고구분0.1641.000
2023-12-11T08:33:12.144590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영업구분신고구분
연번1.0000.0810.103
영업구분0.0811.0000.164
신고구분0.1030.1641.000

Missing values

2023-12-11T08:33:08.624205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:33:08.712195image/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

연번신고번호영업구분신고구분사무소명도로명주소주소
011985-경상남도-건축사사무소-22등록영업중개인아림신중광건축사사무소경상남도 거창군 거창읍 강변로 137-2경상남도 거창군 거창읍 중앙리 대지 483-9
121985-경상남도-건축사사무소-25등록영업중개인동원건축사(사)경상남도 진주시 모덕로 62 (4층)경상남도 진주시 상대동 대지 775-19 (4층)
231985-경상남도-건축사사무소-30등록영업중개인건축사사무소 남향경상남도 고성군 고성읍 성내로 164, 3층경상남도 고성군 고성읍 성내리 대지 69-1
341985-경상남도-건축사사무소-36등록영업중개인대우건축사(사)경상남도 진주시 남강로651번길 11-3경상남도 진주시 본성동 대지 4-2
451985-경상남도-건축사사무소-42등록영업중개인광성아키월드건축사사무소경상남도 창원시 성산구 용지로 70, 919호(중앙동)0-0
561985-경상남도-건축사사무소-43등록영업중개인현대건축사(사)경상남도 진주시 상평동 대지 218-4
671985-경상남도-건축사사무소-52등록영업중개인건축사(사)정건축경상남도 거창군 거창읍 중앙로 116-7경상남도 거창군 거창읍 중앙리 대지 282-43
781987-경상남도-건축사사무소-92등록영업중개인건축사(사)동서건축경상남도 사천시 벌리동 대지 94-1 비룡 204호
891987-경상남도-건축사사무소-94등록영업중개인건축사사무소예창경상남도 창원시 진해구 용원로 610-0
9101988-경상남도-건축사사무소-343등록영업중개인종합건축사사무소 운하그룹경상남도 통영시 안개로 18-1, 3층0-0
연번신고번호영업구분신고구분사무소명도로명주소주소
8368372022-경상남도-건축사사무소-1442등록영업중개인바우건축사사무소경상남도 고성군 고성읍 성내로135번길 4, 2층0-0
8378382022-경상남도-건축사사무소-1443등록영업중개인반석건축사사무소경상남도 합천군 합천읍 대야로 880-9, 1층0-0
8388392022-경상남도-건축사사무소-1444등록영업중개인건축사사무소 다이룸경상남도 사천시 정동면 정동중앙로 16-5, (정동스카이8) 2층 202호0-0
8398402022-경상남도-건축사사무소-1445등록영업중개인어반차건축사사무소경상남도 창원시 의창구 차룡로48번길 44, 창원스마트업타워 F1304호0-0
8408412022-경상남도-건축사사무소-1447등록영업중개인토우종합건축사사무소경상남도 진주시 모덕로47번길 9 (1층, 상대동)0-0
8418422022-경상남도-건축사사무소-1448등록영업중개인건축사사무소공이일경상남도 창원시 성산구 용지로169번길 11-31, 오피스애플타워 3층 8호0-0
8428432022-경상남도-건축사사무소-1449등록영업중개인매시건축사사무소경상남도 양산시 동면 내송내안2길 13, 송림플러스 4010-0
8438442022-경상남도-건축사사무소-1450등록영업중개인온도892이유진건축사사무소경상남도 진주시 대신로 365, 2층0-0
8448452022-경상남도-건축사사무소-1451등록영업중법인주식회사 태일종합건축사사무소경상남도 창원시 의창구 우곡로217번길 6, 11층 1호0-0
8458462022-경상남도-건축사사무소-1452등록영업중개인건축사사무소상상경상남도 김해시 분성로396번길 63, 201호0-0