Overview

Dataset statistics

Number of variables24
Number of observations1403
Missing cells3840
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory268.7 KiB
Average record size in memory196.1 B

Variable types

Categorical6
Text12
DateTime2
Numeric4

Dataset

Description광주광역시 동구 건축허가 현황에 관한 데이터 입니다. 건축구분, 허가번호, 대지위치, 지목, 대지면적, 건축면적, 연면적, 건폐율, 용적률, 허가일, 층수, 동수 용도 등의 데이터로 구성되어 있습니다.
URLhttps://www.data.go.kr/data/15092094/fileData.do

Alerts

지목 is highly imbalanced (83.9%)Imbalance
용도지구 is highly imbalanced (53.8%)Imbalance
용도구역 is highly imbalanced (50.8%)Imbalance
대지면적 has 15 (1.1%) missing valuesMissing
증축연면적 has 1256 (89.5%) missing valuesMissing
건폐율 has 15 (1.1%) missing valuesMissing
용적률 has 16 (1.1%) missing valuesMissing
최대지하층수 has 442 (31.5%) missing valuesMissing
부속용도 has 302 (21.5%) missing valuesMissing
설계사무소명 has 128 (9.1%) missing valuesMissing
감리사무소명 has 707 (50.4%) missing valuesMissing
시공자사무소명 has 955 (68.1%) missing valuesMissing
허가번호 has unique valuesUnique
최대지하층수 has 567 (40.4%) zerosZeros
최고높이 has 164 (11.7%) zerosZeros
동수 has 58 (4.1%) zerosZeros

Reproduction

Analysis started2023-12-12 07:27:54.792696
Analysis finished2023-12-12 07:27:55.942210
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

건축구분
Categorical

Distinct7
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
신축
637 
용도변경
528 
증축
148 
대수선
79 
가설건축물축조허가
 
8
Other values (2)
 
3

Length

Max length9
Median length2
Mean length2.8488952
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row신축
2nd row대수선
3rd row증축
4th row대수선
5th row용도변경

Common Values

ValueCountFrequency (%)
신축 637
45.4%
용도변경 528
37.6%
증축 148
 
10.5%
대수선 79
 
5.6%
가설건축물축조허가 8
 
0.6%
개축 2
 
0.1%
재축 1
 
0.1%

Length

2023-12-12T16:27:56.013537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:27:56.153153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
신축 637
45.4%
용도변경 528
37.6%
증축 148
 
10.5%
대수선 79
 
5.6%
가설건축물축조허가 8
 
0.6%
개축 2
 
0.1%
재축 1
 
0.1%

허가번호
Text

UNIQUE 

Distinct1403
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2023-12-12T16:27:56.376360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length16.642908
Min length15

Characters and Unicode

Total characters23350
Distinct characters39
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

Unique1403 ?
Unique (%)100.0%

Sample

1st row2023-건축과-신축허가-21
2nd row2023-건축과-대수선허가-9
3rd row2023-건축과-공용건축물-13
4th row2023-건축과-공용건축물-12
5th row2023-건축과-용도변경허가-24
ValueCountFrequency (%)
2023-건축과-신축허가-21 1
 
0.1%
2018-건축과-신축허가-26 1
 
0.1%
2018-건축과-대수선허가-3 1
 
0.1%
2018-건축과-용도변경허가-19 1
 
0.1%
2018-건축과-신축허가-24 1
 
0.1%
2018-건축과-신축허가-23 1
 
0.1%
2018-건축과-용도변경허가-20 1
 
0.1%
2018-건축과-신축허가-25 1
 
0.1%
2018-건축과-용도변경허가-21 1
 
0.1%
2018-건축과-신축허가-22 1
 
0.1%
Other values (1393) 1393
99.3%
2023-12-12T16:27:56.785640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4209
18.0%
2 2466
10.6%
축 2212
9.5%
0 1724
 
7.4%
건 1484
 
6.4%
과 1403
 
6.0%
1 1383
 
5.9%
가 1330
 
5.7%
허 1323
 
5.7%
신 609
 
2.6%
Other values (29) 5207
22.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11067
47.4%
Decimal Number 8074
34.6%
Dash Punctuation 4209
 
18.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
축 2212
20.0%
건 1484
13.4%
과 1403
12.7%
가 1330
12.0%
허 1323
12.0%
신 609
 
5.5%
용 558
 
5.0%
도 522
 
4.7%
변 519
 
4.7%
경 519
 
4.7%
Other values (18) 588
 
5.3%
Decimal Number
ValueCountFrequency (%)
2 2466
30.5%
0 1724
21.4%
1 1383
17.1%
7 439
 
5.4%
6 415
 
5.1%
8 387
 
4.8%
9 378
 
4.7%
3 348
 
4.3%
4 280
 
3.5%
5 254
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 4209
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12283
52.6%
Hangul 11067
47.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
축 2212
20.0%
건 1484
13.4%
과 1403
12.7%
가 1330
12.0%
허 1323
12.0%
신 609
 
5.5%
용 558
 
5.0%
도 522
 
4.7%
변 519
 
4.7%
경 519
 
4.7%
Other values (18) 588
 
5.3%
Common
ValueCountFrequency (%)
- 4209
34.3%
2 2466
20.1%
0 1724
14.0%
1 1383
 
11.3%
7 439
 
3.6%
6 415
 
3.4%
8 387
 
3.2%
9 378
 
3.1%
3 348
 
2.8%
4 280
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12283
52.6%
Hangul 11067
47.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4209
34.3%
2 2466
20.1%
0 1724
14.0%
1 1383
 
11.3%
7 439
 
3.6%
6 415
 
3.4%
8 387
 
3.2%
9 378
 
3.1%
3 348
 
2.8%
4 280
 
2.3%
Hangul
ValueCountFrequency (%)
축 2212
20.0%
건 1484
13.4%
과 1403
12.7%
가 1330
12.0%
허 1323
12.0%
신 609
 
5.5%
용 558
 
5.0%
도 522
 
4.7%
변 519
 
4.7%
경 519
 
4.7%
Other values (18) 588
 
5.3%

대지위치
Text

Distinct1280
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2023-12-12T16:27:57.066884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length24
Mean length18.68211
Min length14

Characters and Unicode

Total characters26211
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1178 ?
Unique (%)84.0%

Sample

1st row광주광역시 동구 계림동 522-5
2nd row광주광역시 동구 동명동 154-51
3rd row광주광역시 동구 동명동 80-15
4th row광주광역시 동구 서석동 31
5th row광주광역시 동구 동명동 209-5
ValueCountFrequency (%)
광주광역시 1403
23.7%
동구 1403
23.7%
동명동 162
 
2.7%
계림동 149
 
2.5%
외1필지 149
 
2.5%
지산동 144
 
2.4%
산수동 131
 
2.2%
학동 116
 
2.0%
소태동 102
 
1.7%
서석동 71
 
1.2%
Other values (1245) 2078
35.2%
2023-12-12T16:27:57.494674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4505
17.2%
동 2876
 
11.0%
광 2824
 
10.8%
구 1404
 
5.4%
역 1403
 
5.4%
시 1403
 
5.4%
주 1403
 
5.4%
1 1207
 
4.6%
- 1118
 
4.3%
2 840
 
3.2%
Other values (42) 7228
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14750
56.3%
Decimal Number 5838
 
22.3%
Space Separator 4505
 
17.2%
Dash Punctuation 1118
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 2876
19.5%
광 2824
19.1%
구 1404
9.5%
역 1403
9.5%
시 1403
9.5%
주 1403
9.5%
지 431
 
2.9%
산 364
 
2.5%
필 286
 
1.9%
외 286
 
1.9%
Other values (30) 2070
14.0%
Decimal Number
ValueCountFrequency (%)
1 1207
20.7%
2 840
14.4%
5 698
12.0%
3 553
9.5%
7 500
8.6%
4 495
8.5%
6 478
 
8.2%
8 395
 
6.8%
0 376
 
6.4%
9 296
 
5.1%
Space Separator
ValueCountFrequency (%)
4505
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14750
56.3%
Common 11461
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 2876
19.5%
광 2824
19.1%
구 1404
9.5%
역 1403
9.5%
시 1403
9.5%
주 1403
9.5%
지 431
 
2.9%
산 364
 
2.5%
필 286
 
1.9%
외 286
 
1.9%
Other values (30) 2070
14.0%
Common
ValueCountFrequency (%)
4505
39.3%
1 1207
 
10.5%
- 1118
 
9.8%
2 840
 
7.3%
5 698
 
6.1%
3 553
 
4.8%
7 500
 
4.4%
4 495
 
4.3%
6 478
 
4.2%
8 395
 
3.4%
Other values (2) 672
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14750
56.3%
ASCII 11461
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4505
39.3%
1 1207
 
10.5%
- 1118
 
9.8%
2 840
 
7.3%
5 698
 
6.1%
3 553
 
4.8%
7 500
 
4.4%
4 495
 
4.3%
6 478
 
4.2%
8 395
 
3.4%
Other values (2) 672
 
5.9%
Hangul
ValueCountFrequency (%)
동 2876
19.5%
광 2824
19.1%
구 1404
9.5%
역 1403
9.5%
시 1403
9.5%
주 1403
9.5%
지 431
 
2.9%
산 364
 
2.5%
필 286
 
1.9%
외 286
 
1.9%
Other values (30) 2070
14.0%

지목
Categorical

IMBALANCE 

Distinct14
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
대
1295 
전
 
35
답
 
22
주차장
 
17
임야
 
9
Other values (9)
 
25

Length

Max length5
Median length1
Mean length1.0798289
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
대 1295
92.3%
전 35
 
2.5%
답 22
 
1.6%
주차장 17
 
1.2%
임야 9
 
0.6%
학교용지 8
 
0.6%
종교용지 4
 
0.3%
수도용지 3
 
0.2%
공원 2
 
0.1%
주유소용지 2
 
0.1%
Other values (4) 6
 
0.4%

Length

2023-12-12T16:27:57.650254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대 1295
92.3%
전 35
 
2.5%
답 22
 
1.6%
주차장 17
 
1.2%
임야 9
 
0.6%
학교용지 8
 
0.6%
종교용지 4
 
0.3%
수도용지 3
 
0.2%
공원 2
 
0.1%
주유소용지 2
 
0.1%
Other values (4) 6
 
0.4%

대지면적
Text

MISSING 

Distinct1000
Distinct (%)72.0%
Missing15
Missing (%)1.1%
Memory size11.1 KiB
2023-12-12T16:27:58.086096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length4.5778098
Min length2

Characters and Unicode

Total characters6354
Distinct characters12
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

Unique770 ?
Unique (%)55.5%

Sample

1st row147
2nd row182
3rd row1,794.6
4th row9,412.9
5th row31
ValueCountFrequency (%)
149 9
 
0.6%
119 9
 
0.6%
142 8
 
0.6%
377 7
 
0.5%
261 7
 
0.5%
182 7
 
0.5%
205 7
 
0.5%
1,613.80 7
 
0.5%
169 7
 
0.5%
162 6
 
0.4%
Other values (990) 1314
94.7%
2023-12-12T16:27:58.681612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 993
15.6%
. 770
12.1%
2 728
11.5%
3 573
9.0%
4 521
8.2%
0 445
7.0%
9 432
6.8%
6 426
6.7%
5 422
6.6%
8 416
6.5%
Other values (2) 628
9.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5352
84.2%
Other Punctuation 1002
 
15.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 993
18.6%
2 728
13.6%
3 573
10.7%
4 521
9.7%
0 445
8.3%
9 432
8.1%
6 426
8.0%
5 422
7.9%
8 416
7.8%
7 396
 
7.4%
Other Punctuation
ValueCountFrequency (%)
. 770
76.8%
, 232
 
23.2%

Most occurring scripts

ValueCountFrequency (%)
Common 6354
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 993
15.6%
. 770
12.1%
2 728
11.5%
3 573
9.0%
4 521
8.2%
0 445
7.0%
9 432
6.8%
6 426
6.7%
5 422
6.6%
8 416
6.5%
Other values (2) 628
9.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6354
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 993
15.6%
. 770
12.1%
2 728
11.5%
3 573
9.0%
4 521
8.2%
0 445
7.0%
9 432
6.8%
6 426
6.7%
5 422
6.6%
8 416
6.5%
Other values (2) 628
9.9%

건축면적
Text

Distinct1256
Distinct (%)89.8%
Missing4
Missing (%)0.3%
Memory size11.1 KiB
2023-12-12T16:27:59.051890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length5.656183
Min length1

Characters and Unicode

Total characters7913
Distinct characters12
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

Unique1140 ?
Unique (%)81.5%

Sample

1st row88.11
2nd row87.71
3rd row1,073.98
4th row3,238.02
5th row22
ValueCountFrequency (%)
1,026.93 7
 
0.5%
946.91 5
 
0.4%
65.1 4
 
0.3%
210.68 4
 
0.3%
71.06 3
 
0.2%
224.75 3
 
0.2%
87.6 3
 
0.2%
531.73 3
 
0.2%
26.44 3
 
0.2%
227.05 3
 
0.2%
Other values (1246) 1361
97.3%
2023-12-12T16:27:59.582470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1371
17.3%
1 1016
12.8%
2 712
9.0%
4 635
8.0%
3 632
8.0%
8 630
8.0%
5 628
7.9%
6 619
7.8%
9 592
7.5%
7 576
7.3%
Other values (2) 502
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6451
81.5%
Other Punctuation 1462
 
18.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1016
15.7%
2 712
11.0%
4 635
9.8%
3 632
9.8%
8 630
9.8%
5 628
9.7%
6 619
9.6%
9 592
9.2%
7 576
8.9%
0 411
6.4%
Other Punctuation
ValueCountFrequency (%)
. 1371
93.8%
, 91
 
6.2%

Most occurring scripts

ValueCountFrequency (%)
Common 7913
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1371
17.3%
1 1016
12.8%
2 712
9.0%
4 635
8.0%
3 632
8.0%
8 630
8.0%
5 628
7.9%
6 619
7.8%
9 592
7.5%
7 576
7.3%
Other values (2) 502
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7913
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1371
17.3%
1 1016
12.8%
2 712
9.0%
4 635
8.0%
3 632
8.0%
8 630
8.0%
5 628
7.9%
6 619
7.8%
9 592
7.5%
7 576
7.3%
Other values (2) 502
 
6.3%

연면적
Text

Distinct1296
Distinct (%)92.4%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
2023-12-12T16:27:59.999560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length6
Mean length6.2373485
Min length2

Characters and Unicode

Total characters8751
Distinct characters12
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

Unique1210 ?
Unique (%)86.2%

Sample

1st row264.33
2nd row129.34
3rd row3,743.86
4th row18,043.5
5th row44
ValueCountFrequency (%)
19,240.95 7
 
0.5%
9,439.13 5
 
0.4%
645.48 4
 
0.3%
124.57 4
 
0.3%
602.34 3
 
0.2%
4,721.78 3
 
0.2%
26.44 3
 
0.2%
996.73 3
 
0.2%
66.44 3
 
0.2%
196 3
 
0.2%
Other values (1286) 1365
97.3%
2023-12-12T16:28:00.586115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1378
15.7%
1 996
11.4%
2 833
9.5%
4 789
9.0%
3 769
8.8%
9 708
8.1%
5 658
7.5%
6 655
7.5%
8 642
7.3%
7 575
6.6%
Other values (2) 748
8.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7074
80.8%
Other Punctuation 1677
 
19.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 996
14.1%
2 833
11.8%
4 789
11.2%
3 769
10.9%
9 708
10.0%
5 658
9.3%
6 655
9.3%
8 642
9.1%
7 575
8.1%
0 449
6.3%
Other Punctuation
ValueCountFrequency (%)
. 1378
82.2%
, 299
 
17.8%

Most occurring scripts

ValueCountFrequency (%)
Common 8751
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1378
15.7%
1 996
11.4%
2 833
9.5%
4 789
9.0%
3 769
8.8%
9 708
8.1%
5 658
7.5%
6 655
7.5%
8 642
7.3%
7 575
6.6%
Other values (2) 748
8.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8751
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1378
15.7%
1 996
11.4%
2 833
9.5%
4 789
9.0%
3 769
8.8%
9 708
8.1%
5 658
7.5%
6 655
7.5%
8 642
7.3%
7 575
6.6%
Other values (2) 748
8.5%

증축연면적
Text

MISSING 

Distinct147
Distinct (%)100.0%
Missing1256
Missing (%)89.5%
Memory size11.1 KiB
2023-12-12T16:28:01.036646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.707483
Min length3

Characters and Unicode

Total characters839
Distinct characters13
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)100.0%

Sample

1st row3,244.83
2nd row194.62
3rd row548.21
4th row59.28
5th row1,385.27
ValueCountFrequency (%)
56.51 1
 
0.7%
371.42 1
 
0.7%
219 1
 
0.7%
179.54 1
 
0.7%
132.7 1
 
0.7%
35.99 1
 
0.7%
92.2 1
 
0.7%
3,600.37 1
 
0.7%
88.2 1
 
0.7%
129.34 1
 
0.7%
Other values (137) 137
93.2%
2023-12-12T16:28:01.577415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 144
17.2%
1 130
15.5%
5 75
8.9%
2 75
8.9%
3 65
7.7%
9 64
7.6%
4 63
7.5%
6 62
7.4%
8 56
 
6.7%
7 49
 
5.8%
Other values (3) 56
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 679
80.9%
Other Punctuation 159
 
19.0%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 130
19.1%
5 75
11.0%
2 75
11.0%
3 65
9.6%
9 64
9.4%
4 63
9.3%
6 62
9.1%
8 56
8.2%
7 49
 
7.2%
0 40
 
5.9%
Other Punctuation
ValueCountFrequency (%)
. 144
90.6%
, 15
 
9.4%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 839
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 144
17.2%
1 130
15.5%
5 75
8.9%
2 75
8.9%
3 65
7.7%
9 64
7.6%
4 63
7.5%
6 62
7.4%
8 56
 
6.7%
7 49
 
5.8%
Other values (3) 56
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 839
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 144
17.2%
1 130
15.5%
5 75
8.9%
2 75
8.9%
3 65
7.7%
9 64
7.6%
4 63
7.5%
6 62
7.4%
8 56
 
6.7%
7 49
 
5.8%
Other values (3) 56
 
6.7%

건폐율
Text

MISSING 

Distinct1191
Distinct (%)85.8%
Missing15
Missing (%)1.1%
Memory size11.1 KiB
2023-12-12T16:28:01.974471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length5.7788184
Min length1

Characters and Unicode

Total characters8021
Distinct characters12
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

Unique1056 ?
Unique (%)76.1%

Sample

1st row59.9388
2nd row48.19
3rd row59.8451
4th row34.3998
5th row70.9677
ValueCountFrequency (%)
0 7
 
0.5%
59.84 7
 
0.5%
63.6343 6
 
0.4%
59.67 5
 
0.4%
59.44 4
 
0.3%
59.73 4
 
0.3%
59.74 4
 
0.3%
59.37 4
 
0.3%
55.88 4
 
0.3%
59.76 4
 
0.3%
Other values (1181) 1339
96.5%
2023-12-12T16:28:02.499074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1368
17.1%
5 1147
14.3%
9 824
10.3%
7 699
8.7%
6 687
8.6%
4 678
8.5%
8 660
8.2%
3 595
7.4%
2 522
 
6.5%
1 507
 
6.3%
Other values (2) 334
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6652
82.9%
Other Punctuation 1369
 
17.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1147
17.2%
9 824
12.4%
7 699
10.5%
6 687
10.3%
4 678
10.2%
8 660
9.9%
3 595
8.9%
2 522
7.8%
1 507
7.6%
0 333
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 1368
99.9%
, 1
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 8021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1368
17.1%
5 1147
14.3%
9 824
10.3%
7 699
8.7%
6 687
8.6%
4 678
8.5%
8 660
8.2%
3 595
7.4%
2 522
 
6.5%
1 507
 
6.3%
Other values (2) 334
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1368
17.1%
5 1147
14.3%
9 824
10.3%
7 699
8.7%
6 687
8.6%
4 678
8.5%
8 660
8.2%
3 595
7.4%
2 522
 
6.5%
1 507
 
6.3%
Other values (2) 334
 
4.2%

용적률
Text

MISSING 

Distinct1301
Distinct (%)93.8%
Missing16
Missing (%)1.1%
Memory size11.1 KiB
2023-12-12T16:28:02.889322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length6.4549387
Min length1

Characters and Unicode

Total characters8953
Distinct characters12
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

Unique1233 ?
Unique (%)88.9%

Sample

1st row179.8163
2nd row71.07
3rd row123.0876
4th row155.2248
5th row141.9355
ValueCountFrequency (%)
0 8
 
0.6%
882.7686 5
 
0.4%
171.21 4
 
0.3%
113.8665 4
 
0.3%
100 3
 
0.2%
406.3473 3
 
0.2%
447.55 3
 
0.2%
285.8475 3
 
0.2%
159.77 3
 
0.2%
295.02 2
 
0.1%
Other values (1291) 1349
97.3%
2023-12-12T16:28:03.411510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 1363
15.2%
1 1273
14.2%
2 793
8.9%
4 782
8.7%
3 773
8.6%
9 717
8.0%
6 709
7.9%
7 688
7.7%
8 676
7.6%
5 676
7.6%
Other values (2) 503
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7581
84.7%
Other Punctuation 1372
 
15.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1273
16.8%
2 793
10.5%
4 782
10.3%
3 773
10.2%
9 717
9.5%
6 709
9.4%
7 688
9.1%
8 676
8.9%
5 676
8.9%
0 494
 
6.5%
Other Punctuation
ValueCountFrequency (%)
. 1363
99.3%
, 9
 
0.7%

Most occurring scripts

ValueCountFrequency (%)
Common 8953
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 1363
15.2%
1 1273
14.2%
2 793
8.9%
4 782
8.7%
3 773
8.6%
9 717
8.0%
6 709
7.9%
7 688
7.7%
8 676
7.6%
5 676
7.6%
Other values (2) 503
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8953
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 1363
15.2%
1 1273
14.2%
2 793
8.9%
4 782
8.7%
3 773
8.6%
9 717
8.0%
6 709
7.9%
7 688
7.7%
8 676
7.6%
5 676
7.6%
Other values (2) 503
 
5.6%

허가일
Date

Distinct912
Distinct (%)65.0%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum2016-01-06 00:00:00
Maximum2023-08-16 00:00:00
2023-12-12T16:28:03.558208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:28:03.694910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

최대지상층수
Real number (ℝ)

Distinct25
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.6535994
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2023-12-12T16:28:03.834662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q12
median3
Q34
95-th percentile9
Maximum31
Range30
Interquartile range (IQR)2

Descriptive statistics

Standard deviation3.2973911
Coefficient of variation (CV)0.90250483
Kurtosis19.489964
Mean3.6535994
Median Absolute Deviation (MAD)1
Skewness3.8357738
Sum5126
Variance10.872788
MonotonicityNot monotonic
2023-12-12T16:28:03.950874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
2 387
27.6%
4 305
21.7%
3 256
18.2%
1 196
14.0%
5 109
 
7.8%
6 30
 
2.1%
8 23
 
1.6%
7 22
 
1.6%
9 15
 
1.1%
10 12
 
0.9%
Other values (15) 48
 
3.4%
ValueCountFrequency (%)
1 196
14.0%
2 387
27.6%
3 256
18.2%
4 305
21.7%
5 109
 
7.8%
6 30
 
2.1%
7 22
 
1.6%
8 23
 
1.6%
9 15
 
1.1%
10 12
 
0.9%
ValueCountFrequency (%)
31 1
 
0.1%
27 3
0.2%
26 1
 
0.1%
25 3
0.2%
24 1
 
0.1%
22 1
 
0.1%
20 6
0.4%
19 4
0.3%
18 1
 
0.1%
16 7
0.5%

최대지하층수
Real number (ℝ)

MISSING  ZEROS 

Distinct7
Distinct (%)0.7%
Missing442
Missing (%)31.5%
Infinite0
Infinite (%)0.0%
Mean0.60041623
Minimum0
Maximum6
Zeros567
Zeros (%)40.4%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2023-12-12T16:28:04.061574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9577316
Coefficient of variation (CV)1.5951128
Kurtosis7.1338365
Mean0.60041623
Median Absolute Deviation (MAD)0
Skewness2.3965313
Sum577
Variance0.91724983
MonotonicityNot monotonic
2023-12-12T16:28:04.164148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 567
40.4%
1 298
21.2%
2 49
 
3.5%
3 20
 
1.4%
4 16
 
1.1%
5 9
 
0.6%
6 2
 
0.1%
(Missing) 442
31.5%
ValueCountFrequency (%)
0 567
40.4%
1 298
21.2%
2 49
 
3.5%
3 20
 
1.4%
4 16
 
1.1%
5 9
 
0.6%
6 2
 
0.1%
ValueCountFrequency (%)
6 2
 
0.1%
5 9
 
0.6%
4 16
 
1.1%
3 20
 
1.4%
2 49
 
3.5%
1 298
21.2%
0 567
40.4%

최고높이
Real number (ℝ)

ZEROS 

Distinct460
Distinct (%)32.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.177875
Minimum0
Maximum104.15
Zeros164
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2023-12-12T16:28:04.298468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17.125
median11.25
Q315.275
95-th percentile33.96
Maximum104.15
Range104.15
Interquartile range (IQR)8.15

Descriptive statistics

Standard deviation12.662582
Coefficient of variation (CV)0.96089712
Kurtosis12.670738
Mean13.177875
Median Absolute Deviation (MAD)4.062
Skewness3.0204525
Sum18488.558
Variance160.34098
MonotonicityNot monotonic
2023-12-12T16:28:04.433425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 164
 
11.7%
7.4 25
 
1.8%
12.9 16
 
1.1%
13.2 14
 
1.0%
8.9 14
 
1.0%
10.2 14
 
1.0%
11.9 12
 
0.9%
11.8 12
 
0.9%
8.5 12
 
0.9%
7.2 12
 
0.9%
Other values (450) 1108
79.0%
ValueCountFrequency (%)
0.0 164
11.7%
2.7 1
 
0.1%
2.8 1
 
0.1%
3.0 7
 
0.5%
3.2 1
 
0.1%
3.3 2
 
0.1%
3.5 7
 
0.5%
3.6 4
 
0.3%
3.65 1
 
0.1%
3.7 1
 
0.1%
ValueCountFrequency (%)
104.15 1
0.1%
97.73 1
0.1%
92.3 1
0.1%
89.62 1
0.1%
87.35 1
0.1%
86.65 2
0.1%
80.5 1
0.1%
76.7 1
0.1%
76.15 1
0.1%
75.55 1
0.1%

동수
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2943692
Minimum0
Maximum26
Zeros58
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size12.5 KiB
2023-12-12T16:28:04.548107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q11
median1
Q31
95-th percentile3
Maximum26
Range26
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.2155159
Coefficient of variation (CV)0.93907976
Kurtosis148.81269
Mean1.2943692
Median Absolute Deviation (MAD)0
Skewness9.6123338
Sum1816
Variance1.477479
MonotonicityNot monotonic
2023-12-12T16:28:04.646794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
1 1077
76.8%
2 187
 
13.3%
0 58
 
4.1%
3 53
 
3.8%
4 11
 
0.8%
6 3
 
0.2%
8 3
 
0.2%
7 3
 
0.2%
10 2
 
0.1%
9 1
 
0.1%
Other values (5) 5
 
0.4%
ValueCountFrequency (%)
0 58
 
4.1%
1 1077
76.8%
2 187
 
13.3%
3 53
 
3.8%
4 11
 
0.8%
5 1
 
0.1%
6 3
 
0.2%
7 3
 
0.2%
8 3
 
0.2%
9 1
 
0.1%
ValueCountFrequency (%)
26 1
 
0.1%
15 1
 
0.1%
13 1
 
0.1%
11 1
 
0.1%
10 2
0.1%
9 1
 
0.1%
8 3
0.2%
7 3
0.2%
6 3
0.2%
5 1
 
0.1%

주용도
Categorical

Distinct21
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
제2종근린생활시설
432 
단독주택
357 
제1종근린생활시설
310 
업무시설
99 
공동주택
 
28
Other values (16)
177 

Length

Max length10
Median length9
Mean length6.7483963
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
제2종근린생활시설 432
30.8%
단독주택 357
25.4%
제1종근린생활시설 310
22.1%
업무시설 99
 
7.1%
공동주택 28
 
2.0%
숙박시설 26
 
1.9%
교육연구시설 25
 
1.8%
판매시설 23
 
1.6%
노유자시설 22
 
1.6%
창고시설 20
 
1.4%
Other values (11) 61
 
4.3%

Length

2023-12-12T16:28:04.760647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
제2종근린생활시설 432
30.8%
단독주택 357
25.4%
제1종근린생활시설 310
22.1%
업무시설 99
 
7.1%
공동주택 28
 
2.0%
숙박시설 26
 
1.9%
교육연구시설 25
 
1.8%
판매시설 23
 
1.6%
노유자시설 22
 
1.6%
창고시설 20
 
1.4%
Other values (11) 61
 
4.3%

부속용도
Text

MISSING 

Distinct513
Distinct (%)46.6%
Missing302
Missing (%)21.5%
Memory size11.1 KiB
2023-12-12T16:28:04.985550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length32
Mean length8.0962761
Min length2

Characters and Unicode

Total characters8914
Distinct characters209
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

Unique427 ?
Unique (%)38.8%

Sample

1st row휴게음식점,일반음식점,학원,사무소
2nd row일반음식점. 사무소
3rd row공공청사
4th row공공업무시설
5th row점포 및 상가
ValueCountFrequency (%)
사무소 111
 
8.1%
일반음식점 100
 
7.3%
다가구주택 98
 
7.1%
소매점 89
 
6.5%
단독주택 61
 
4.4%
휴게음식점 56
 
4.1%
근린생활시설 43
 
3.1%
주택 41
 
3.0%
제2종근린생활시설 33
 
2.4%
및 23
 
1.7%
Other values (398) 721
52.4%
2023-12-12T16:28:05.361446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 563
 
6.3%
점 497
 
5.6%
소 468
 
5.3%
주 350
 
3.9%
시 341
 
3.8%
설 334
 
3.7%
택 330
 
3.7%
무 289
 
3.2%
278
 
3.1%
사 268
 
3.0%
Other values (199) 5196
58.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7654
85.9%
Other Punctuation 620
 
7.0%
Space Separator 278
 
3.1%
Decimal Number 166
 
1.9%
Close Punctuation 95
 
1.1%
Open Punctuation 95
 
1.1%
Dash Punctuation 4
 
< 0.1%
Connector Punctuation 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 497
 
6.5%
소 468
 
6.1%
주 350
 
4.6%
시 341
 
4.5%
설 334
 
4.4%
택 330
 
4.3%
무 289
 
3.8%
사 268
 
3.5%
식 255
 
3.3%
음 254
 
3.3%
Other values (178) 4268
55.8%
Decimal Number
ValueCountFrequency (%)
2 83
50.0%
1 66
39.8%
9 8
 
4.8%
5 4
 
2.4%
8 2
 
1.2%
3 2
 
1.2%
0 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
, 563
90.8%
/ 41
 
6.6%
. 12
 
1.9%
& 2
 
0.3%
: 1
 
0.2%
' 1
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 94
98.9%
] 1
 
1.1%
Open Punctuation
ValueCountFrequency (%)
( 94
98.9%
[ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
278
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7654
85.9%
Common 1259
 
14.1%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 497
 
6.5%
소 468
 
6.1%
주 350
 
4.6%
시 341
 
4.5%
설 334
 
4.4%
택 330
 
4.3%
무 289
 
3.8%
사 268
 
3.5%
식 255
 
3.3%
음 254
 
3.3%
Other values (178) 4268
55.8%
Common
ValueCountFrequency (%)
, 563
44.7%
278
22.1%
) 94
 
7.5%
( 94
 
7.5%
2 83
 
6.6%
1 66
 
5.2%
/ 41
 
3.3%
. 12
 
1.0%
9 8
 
0.6%
5 4
 
0.3%
Other values (10) 16
 
1.3%
Latin
ValueCountFrequency (%)
m 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7654
85.9%
ASCII 1260
 
14.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 563
44.7%
278
22.1%
) 94
 
7.5%
( 94
 
7.5%
2 83
 
6.6%
1 66
 
5.2%
/ 41
 
3.3%
. 12
 
1.0%
9 8
 
0.6%
5 4
 
0.3%
Other values (11) 17
 
1.3%
Hangul
ValueCountFrequency (%)
점 497
 
6.5%
소 468
 
6.1%
주 350
 
4.6%
시 341
 
4.5%
설 334
 
4.4%
택 330
 
4.3%
무 289
 
3.8%
사 268
 
3.5%
식 255
 
3.3%
음 254
 
3.3%
Other values (178) 4268
55.8%

용도지역
Categorical

Distinct15
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
도시지역
457 
제2종일반주거지역
289 
중심상업지역
159 
<NA>
100 
제1종일반주거지역
98 
Other values (10)
300 

Length

Max length13
Median length9
Mean length6.3050606
Min length4

Unique

Unique2 ?
Unique (%)0.1%

Sample

1st row제2종일반주거지역
2nd row제2종일반주거지역
3rd row도시지역
4th row도시지역
5th row도시지역

Common Values

ValueCountFrequency (%)
도시지역 457
32.6%
제2종일반주거지역 289
20.6%
중심상업지역 159
 
11.3%
<NA> 100
 
7.1%
제1종일반주거지역 98
 
7.0%
준주거지역 98
 
7.0%
가로구역별최고높이제한지역 61
 
4.3%
일반상업지역 52
 
3.7%
근린상업지역 31
 
2.2%
자연녹지지역 27
 
1.9%
Other values (5) 31
 
2.2%

Length

2023-12-12T16:28:05.484374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
도시지역 457
32.6%
제2종일반주거지역 289
20.6%
중심상업지역 159
 
11.3%
na 100
 
7.1%
제1종일반주거지역 98
 
7.0%
준주거지역 98
 
7.0%
가로구역별최고높이제한지역 61
 
4.3%
일반상업지역 52
 
3.7%
근린상업지역 31
 
2.2%
자연녹지지역 27
 
1.9%
Other values (5) 31
 
2.2%

용도지구
Categorical

IMBALANCE 

Distinct16
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
<NA>
835 
방화지구
302 
전통상업보존구역
97 
시가지경관지구
 
73
일반미관지구
 
41
Other values (11)
 
55

Length

Max length13
Median length4
Mean length4.6685674
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row시가지경관지구
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 835
59.5%
방화지구 302
 
21.5%
전통상업보존구역 97
 
6.9%
시가지경관지구 73
 
5.2%
일반미관지구 41
 
2.9%
시가지경관지구(일반) 19
 
1.4%
중심지미관지구 13
 
0.9%
자연취락지구 8
 
0.6%
공원자연마을지구 3
 
0.2%
시가지경관지구(중심) 3
 
0.2%
Other values (6) 9
 
0.6%

Length

2023-12-12T16:28:05.594194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 835
59.5%
방화지구 302
 
21.5%
전통상업보존구역 97
 
6.9%
시가지경관지구 73
 
5.2%
일반미관지구 41
 
2.9%
시가지경관지구(일반 19
 
1.4%
중심지미관지구 13
 
0.9%
자연취락지구 8
 
0.6%
공원자연마을지구 3
 
0.2%
시가지경관지구(중심 3
 
0.2%
Other values (6) 9
 
0.6%

용도구역
Categorical

IMBALANCE 

Distinct19
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
<NA>
714 
제1종지구단위계획구역
278 
상대보호구역
232 
중점경관관리구역
80 
지구단위계획구역
 
35
Other values (14)
 
64

Length

Max length12
Median length4
Mean length6.1568068
Min length4

Unique

Unique7 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row상대보호구역
3rd row<NA>
4th row제1종지구단위계획구역
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 714
50.9%
제1종지구단위계획구역 278
 
19.8%
상대보호구역 232
 
16.5%
중점경관관리구역 80
 
5.7%
지구단위계획구역 35
 
2.5%
정비구역 21
 
1.5%
개발제한구역 16
 
1.1%
현상변경허가 대상구역 10
 
0.7%
전통상업보존구역 3
 
0.2%
도시개발구역 3
 
0.2%
Other values (9) 11
 
0.8%

Length

2023-12-12T16:28:05.706604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 714
50.5%
제1종지구단위계획구역 278
 
19.7%
상대보호구역 232
 
16.4%
중점경관관리구역 80
 
5.7%
지구단위계획구역 35
 
2.5%
정비구역 21
 
1.5%
개발제한구역 16
 
1.1%
현상변경허가 10
 
0.7%
대상구역 10
 
0.7%
도시개발구역 3
 
0.2%
Other values (10) 14
 
1.0%

설계사무소명
Text

MISSING 

Distinct419
Distinct (%)32.9%
Missing128
Missing (%)9.1%
Memory size11.1 KiB
2023-12-12T16:28:05.968740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length10.374118
Min length1

Characters and Unicode

Total characters13227
Distinct characters247
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

Unique225 ?
Unique (%)17.6%

Sample

1st row디자인그룹 현대건축사사무소
2nd row형&태건축사사무소
3rd row(주)그룹포에이 건축사사무소
4th row주식회사 로운건축사사무소
5th row지밀건축사사무소
ValueCountFrequency (%)
건축사사무소 605
29.2%
필 88
 
4.2%
우리 85
 
4.1%
주식회사 69
 
3.3%
주)건축사사무소 47
 
2.3%
우도종합건축사사무소 29
 
1.4%
새광주 23
 
1.1%
종합건축사사무소 21
 
1.0%
sm 21
 
1.0%
정상 17
 
0.8%
Other values (416) 1069
51.5%
2023-12-12T16:28:06.601303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 2668
20.2%
건 1321
 
10.0%
축 1301
 
9.8%
소 1286
 
9.7%
무 1274
 
9.6%
808
 
6.1%
주 367
 
2.8%
( 244
 
1.8%
) 244
 
1.8%
이 209
 
1.6%
Other values (237) 3505
26.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11768
89.0%
Space Separator 808
 
6.1%
Open Punctuation 244
 
1.8%
Close Punctuation 244
 
1.8%
Uppercase Letter 120
 
0.9%
Other Punctuation 19
 
0.1%
Lowercase Letter 18
 
0.1%
Decimal Number 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2668
22.7%
건 1321
11.2%
축 1301
11.1%
소 1286
10.9%
무 1274
10.8%
주 367
 
3.1%
이 209
 
1.8%
우 178
 
1.5%
회 117
 
1.0%
종 114
 
1.0%
Other values (208) 2933
24.9%
Uppercase Letter
ValueCountFrequency (%)
S 33
27.5%
M 23
19.2%
P 11
 
9.2%
E 10
 
8.3%
A 9
 
7.5%
C 8
 
6.7%
D 6
 
5.0%
N 5
 
4.2%
G 5
 
4.2%
Y 3
 
2.5%
Other values (5) 7
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
e 4
22.2%
s 3
16.7%
a 3
16.7%
p 3
16.7%
c 3
16.7%
l 2
11.1%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
5 2
33.3%
0 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
. 14
73.7%
& 5
 
26.3%
Space Separator
ValueCountFrequency (%)
808
100.0%
Open Punctuation
ValueCountFrequency (%)
( 244
100.0%
Close Punctuation
ValueCountFrequency (%)
) 244
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11768
89.0%
Common 1321
 
10.0%
Latin 138
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2668
22.7%
건 1321
11.2%
축 1301
11.1%
소 1286
10.9%
무 1274
10.8%
주 367
 
3.1%
이 209
 
1.8%
우 178
 
1.5%
회 117
 
1.0%
종 114
 
1.0%
Other values (208) 2933
24.9%
Latin
ValueCountFrequency (%)
S 33
23.9%
M 23
16.7%
P 11
 
8.0%
E 10
 
7.2%
A 9
 
6.5%
C 8
 
5.8%
D 6
 
4.3%
N 5
 
3.6%
G 5
 
3.6%
e 4
 
2.9%
Other values (11) 24
17.4%
Common
ValueCountFrequency (%)
808
61.2%
( 244
 
18.5%
) 244
 
18.5%
. 14
 
1.1%
& 5
 
0.4%
2 3
 
0.2%
5 2
 
0.2%
0 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11768
89.0%
ASCII 1459
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 2668
22.7%
건 1321
11.2%
축 1301
11.1%
소 1286
10.9%
무 1274
10.8%
주 367
 
3.1%
이 209
 
1.8%
우 178
 
1.5%
회 117
 
1.0%
종 114
 
1.0%
Other values (208) 2933
24.9%
ASCII
ValueCountFrequency (%)
808
55.4%
( 244
 
16.7%
) 244
 
16.7%
S 33
 
2.3%
M 23
 
1.6%
. 14
 
1.0%
P 11
 
0.8%
E 10
 
0.7%
A 9
 
0.6%
C 8
 
0.5%
Other values (19) 55
 
3.8%

감리사무소명
Text

MISSING 

Distinct366
Distinct (%)52.6%
Missing707
Missing (%)50.4%
Memory size11.1 KiB
2023-12-12T16:28:06.835803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length10.752874
Min length6

Characters and Unicode

Total characters7484
Distinct characters234
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

Unique237 ?
Unique (%)34.1%

Sample

1st row유한회사 와이피그룹이감건축사사무소
2nd row주식회사문엔창건축사사무소
3rd row우일건축사사무소
4th row주식회사 신화이엔씨건축사사무소
5th row주식회사 우도종합건축사사무소
ValueCountFrequency (%)
건축사사무소 268
24.6%
주식회사 53
 
4.9%
주)건축사사무소 33
 
3.0%
우도종합건축사사무소 25
 
2.3%
원도건축사사무소 16
 
1.5%
필 14
 
1.3%
우리 12
 
1.1%
주)에이치앤에이건축사사무소 11
 
1.0%
건축사사무소률 10
 
0.9%
종합건축사사무소 9
 
0.8%
Other values (366) 640
58.7%
2023-12-12T16:28:07.203588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 1470
19.6%
건 727
 
9.7%
축 712
 
9.5%
무 697
 
9.3%
소 696
 
9.3%
401
 
5.4%
주 252
 
3.4%
) 172
 
2.3%
( 171
 
2.3%
이 122
 
1.6%
Other values (224) 2064
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6656
88.9%
Space Separator 401
 
5.4%
Close Punctuation 172
 
2.3%
Open Punctuation 171
 
2.3%
Uppercase Letter 51
 
0.7%
Lowercase Letter 15
 
0.2%
Other Punctuation 10
 
0.1%
Decimal Number 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 1470
22.1%
건 727
10.9%
축 712
10.7%
무 697
 
10.5%
소 696
 
10.5%
주 252
 
3.8%
이 122
 
1.8%
회 78
 
1.2%
식 71
 
1.1%
종 65
 
1.0%
Other values (193) 1766
26.5%
Uppercase Letter
ValueCountFrequency (%)
S 11
21.6%
A 7
13.7%
D 5
9.8%
M 5
9.8%
C 4
 
7.8%
E 3
 
5.9%
H 3
 
5.9%
P 3
 
5.9%
I 2
 
3.9%
G 2
 
3.9%
Other values (5) 6
11.8%
Lowercase Letter
ValueCountFrequency (%)
a 3
20.0%
p 3
20.0%
c 3
20.0%
e 3
20.0%
l 2
13.3%
s 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 2
25.0%
3 1
 
12.5%
0 1
 
12.5%
5 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
. 9
90.0%
& 1
 
10.0%
Space Separator
ValueCountFrequency (%)
401
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6656
88.9%
Common 762
 
10.2%
Latin 66
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 1470
22.1%
건 727
10.9%
축 712
10.7%
무 697
 
10.5%
소 696
 
10.5%
주 252
 
3.8%
이 122
 
1.8%
회 78
 
1.2%
식 71
 
1.1%
종 65
 
1.0%
Other values (193) 1766
26.5%
Latin
ValueCountFrequency (%)
S 11
16.7%
A 7
 
10.6%
D 5
 
7.6%
M 5
 
7.6%
C 4
 
6.1%
E 3
 
4.5%
H 3
 
4.5%
P 3
 
4.5%
a 3
 
4.5%
p 3
 
4.5%
Other values (11) 19
28.8%
Common
ValueCountFrequency (%)
401
52.6%
) 172
22.6%
( 171
22.4%
. 9
 
1.2%
1 3
 
0.4%
2 2
 
0.3%
3 1
 
0.1%
0 1
 
0.1%
& 1
 
0.1%
5 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6656
88.9%
ASCII 828
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 1470
22.1%
건 727
10.9%
축 712
10.7%
무 697
 
10.5%
소 696
 
10.5%
주 252
 
3.8%
이 122
 
1.8%
회 78
 
1.2%
식 71
 
1.1%
종 65
 
1.0%
Other values (193) 1766
26.5%
ASCII
ValueCountFrequency (%)
401
48.4%
) 172
20.8%
( 171
20.7%
S 11
 
1.3%
. 9
 
1.1%
A 7
 
0.8%
D 5
 
0.6%
M 5
 
0.6%
C 4
 
0.5%
E 3
 
0.4%
Other values (21) 40
 
4.8%

시공자사무소명
Text

MISSING 

Distinct338
Distinct (%)75.4%
Missing955
Missing (%)68.1%
Memory size11.1 KiB
2023-12-12T16:28:07.508096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length8.765625
Min length4

Characters and Unicode

Total characters3927
Distinct characters205
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique272 ?
Unique (%)60.7%

Sample

1st row주식회사제이제이종합건설
2nd row(주)신일종합건설
3rd row(유)설둥개발
4th row주식회사아진건설
5th row주식회사바른돌건설
ValueCountFrequency (%)
주식회사 27
 
5.6%
주식회사도화종합건설 10
 
2.1%
주식회사코리아세찬종합건설 9
 
1.9%
주식회사삼호 5
 
1.0%
금도종합건설주식회사 5
 
1.0%
금송종합건설(주 5
 
1.0%
송호건설(주 4
 
0.8%
주)건영종합건설 4
 
0.8%
주)한길종합건설 4
 
0.8%
주식회사기봉종합건설 4
 
0.8%
Other values (331) 401
83.9%
2023-12-12T16:28:07.961900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 440
 
11.2%
건 366
 
9.3%
설 345
 
8.8%
( 265
 
6.7%
) 265
 
6.7%
종 210
 
5.3%
합 209
 
5.3%
사 179
 
4.6%
회 177
 
4.5%
식 168
 
4.3%
Other values (195) 1303
33.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3367
85.7%
Open Punctuation 265
 
6.7%
Close Punctuation 265
 
6.7%
Space Separator 30
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 440
 
13.1%
건 366
 
10.9%
설 345
 
10.2%
종 210
 
6.2%
합 209
 
6.2%
사 179
 
5.3%
회 177
 
5.3%
식 168
 
5.0%
이 55
 
1.6%
산 42
 
1.2%
Other values (192) 1176
34.9%
Open Punctuation
ValueCountFrequency (%)
( 265
100.0%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Space Separator
ValueCountFrequency (%)
30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3367
85.7%
Common 560
 
14.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 440
 
13.1%
건 366
 
10.9%
설 345
 
10.2%
종 210
 
6.2%
합 209
 
6.2%
사 179
 
5.3%
회 177
 
5.3%
식 168
 
5.0%
이 55
 
1.6%
산 42
 
1.2%
Other values (192) 1176
34.9%
Common
ValueCountFrequency (%)
( 265
47.3%
) 265
47.3%
30
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3367
85.7%
ASCII 560
 
14.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 440
 
13.1%
건 366
 
10.9%
설 345
 
10.2%
종 210
 
6.2%
합 209
 
6.2%
사 179
 
5.3%
회 177
 
5.3%
식 168
 
5.0%
이 55
 
1.6%
산 42
 
1.2%
Other values (192) 1176
34.9%
ASCII
ValueCountFrequency (%)
( 265
47.3%
) 265
47.3%
30
 
5.4%

데이터기준일자
Date

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.1 KiB
Minimum2021-10-13 00:00:00
Maximum2023-08-28 00:00:00
2023-12-12T16:28:08.097148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:28:08.201185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

Sample

건축구분허가번호대지위치지목대지면적건축면적연면적증축연면적건폐율용적률허가일최대지상층수최대지하층수최고높이동수주용도부속용도용도지역용도지구용도구역설계사무소명감리사무소명시공자사무소명데이터기준일자
0신축2023-건축과-신축허가-21광주광역시 동구 계림동 522-5대14788.11264.33<NA>59.9388179.81632023-08-16308.951제2종근린생활시설휴게음식점,일반음식점,학원,사무소제2종일반주거지역<NA><NA>디자인그룹 현대건축사사무소<NA><NA>2023-08-28
1대수선2023-건축과-대수선허가-9광주광역시 동구 동명동 154-51대18287.71129.34<NA>48.1971.072023-08-112<NA>6.82제2종근린생활시설일반음식점. 사무소제2종일반주거지역<NA>상대보호구역형&태건축사사무소<NA><NA>2023-08-28
2증축2023-건축과-공용건축물-13광주광역시 동구 동명동 80-15대1,794.61,073.983,743.863,244.8359.8451123.08762023-08-013216.42업무시설공공청사도시지역<NA><NA>(주)그룹포에이 건축사사무소<NA><NA>2023-08-28
3대수선2023-건축과-공용건축물-12광주광역시 동구 서석동 31대9,412.93,238.0218,043.5<NA>34.3998155.22482023-07-284<NA>0.04업무시설공공업무시설도시지역시가지경관지구제1종지구단위계획구역주식회사 로운건축사사무소<NA><NA>2023-08-28
4용도변경2023-건축과-용도변경허가-24광주광역시 동구 동명동 209-5대312244<NA>70.9677141.93552023-07-282<NA>6.41단독주택점포 및 상가도시지역<NA><NA>지밀건축사사무소<NA><NA>2023-08-28
5용도변경2023-건축과-용도변경허가-25광주광역시 동구 장동 83-4대11367.1267.12<NA>59.459.42023-07-281<NA>0.02제2종근린생활시설<NA>제2종일반주거지역<NA>제1종지구단위계획구역필 건축사사무소<NA><NA>2023-08-28
6증축2023-건축과-증축허가-4광주광역시 동구 용연동 278대490291.37493.41194.6259.46100.692023-07-242<NA>7.91제2종근린생활시설사무소,제1종근생 휴게음식점,단독주택제1종일반주거지역<NA><NA>유한회사 와이피그룹이감건축사사무소유한회사 와이피그룹이감건축사사무소<NA>2023-08-28
7신축2023-건축과-신축허가-20광주광역시 동구 지산동 707-45 외1필지대186.55104.76314.28<NA>56.1565168.46962023-07-243013.351제2종근린생활시설사무소제2종일반주거지역<NA>상대보호구역주식회사문엔창건축사사무소주식회사문엔창건축사사무소주식회사제이제이종합건설2023-08-28
8신축2023-건축과-신축허가-19광주광역시 동구 수기동 4-15대184.24145.18255.16<NA>78.7994138.49332023-07-19209.81단독주택,1종근린생활시설(일용품소매점)중심상업지역방화지구상대보호구역건축사사무소우성건축(주)<NA><NA>2023-08-28
9용도변경2023-건축과-용도변경허가-22광주광역시 동구 동명동 154-157대158.2105.2494.6<NA>66.5252.972023-07-194113.31제2종근린생활시설<NA>제2종일반주거지역<NA>중점경관관리구역필 건축사사무소<NA><NA>2023-08-28
건축구분허가번호대지위치지목대지면적건축면적연면적증축연면적건폐율용적률허가일최대지상층수최대지하층수최고높이동수주용도부속용도용도지역용도지구용도구역설계사무소명감리사무소명시공자사무소명데이터기준일자
1393증축2016-건축과-증축허가-1광주광역시 동구 광산동 69 외2필지대430.7340.9520.83257.1179.15120.932016-01-203<NA>9.84제2종근린생활시설일반음식점,일용품소매점, 사무소중심상업지역방화지구제1종지구단위계획구역우리건축사사무소<NA><NA>2021-10-13
1394용도변경2016-건축과-용도변경허가-5광주광역시 동구 금남로2가 20-2 외1필지대1,613.801,026.9319,240.95<NA>63.6343882.76862016-01-2016562.51업무시설(업무시설,휴게음식점,의원등)중심상업지역중심지미관지구제1종지구단위계획구역주식회사 나라피엔디건축사사무소<NA><NA>2021-10-13
1395신축2016-건축과-신축허가-3광주광역시 동구 지산동 313-3 외1필지대235133.195238.37<NA>56.6787101.4342016-01-15207.091제2종근린생활시설사무소도시지역<NA>정비구역무용건축사사무소무용건축사사무소<NA>2021-10-13
1396신축2016-건축과-신축허가-4광주광역시 동구 운림동 667-5대229.5136.02343.9<NA>59.27149.852016-01-153011.61단독주택일반음식점/다가구주택제1종일반주거지역<NA>제1종지구단위계획구역지지 건축사사무소건축사사무소 서로<NA>2021-10-13
1397용도변경2016-건축과-용도변경허가-4광주광역시 동구 동명동 50-10대4031.7331.73<NA>79.32579.3252016-01-151<NA>3.01제1종근린생활시설일용품소매점제2종일반주거지역<NA><NA>대안건축사사무소<NA><NA>2021-10-13
1398신축2016-건축과-신축허가-2광주광역시 동구 소태동 953 외1필지전264.5157.34446.2757<NA>59.4858168.72432016-01-144012.751단독주택다가구주택제2종일반주거지역<NA>절대정화구역(주)원일건축사사무소(주)원일건축사사무소<NA>2021-10-13
1399용도변경2016-건축과-용도변경허가-3광주광역시 동구 광산동 100-23대476.62302.21,092.28<NA>63.4048208.36732016-01-134116.01제2종근린생활시설일반음식점,유흥주점,창고도시지역방화지구제1종지구단위계획구역<NA><NA><NA>2021-10-13
1400용도변경2016-건축과-용도변경허가-2광주광역시 동구 산수동 227-21대261132.52473.04<NA>50.77181.242016-01-114<NA>13.21공동주택/제2종근린생활시설제1종일반주거지역<NA><NA>필 건축사사무소<NA><NA>2021-10-13
1401신축2016-건축과-신축허가-1광주광역시 동구 학동 798대140.6584.21150.75<NA>59.87107.182016-01-08208.51제2종근린생활시설<NA>도시지역<NA>제1종지구단위계획구역(주)건축사사무소미가온(주)건축사사무소미가온<NA>2021-10-13
1402용도변경2016-건축과-용도변경허가-1광주광역시 동구 동명동 200-81대16267.167.1<NA>41.419841.41982016-01-061<NA>0.01제2종근린생활시설출판사도시지역<NA>상대보호구역<NA><NA><NA>2021-10-13