Overview

Dataset statistics

Number of variables28
Number of observations1426
Missing cells5379
Missing cells (%)13.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory320.4 KiB
Average record size in memory230.1 B

Variable types

Text11
Categorical11
Numeric3
DateTime2
Boolean1

Dataset

Description전라남도 나주시 용도지구 결정조서에 관한 정보를 제공합니다. 해당정보는 지구명, 면적, 최초결정일 등을 포함합니다.※ 유사한 데이터 목록명: 전라남도 나주시_용도구역, 전라남도 나주시_용도지역
Author전라남도 나주시
URLhttps://www.data.go.kr/data/15123926/fileData.do

Alerts

지자체 has constant value ""Constant
시스템 생성자ID has constant value ""Constant
대분류 is highly imbalanced (76.5%)Imbalance
중분류 is highly imbalanced (76.5%)Imbalance
폭원 is highly imbalanced (95.9%)Imbalance
최초결정일자정보 is highly imbalanced (65.2%)Imbalance
승인고시관리코드(NTC) is highly imbalanced (63.1%)Imbalance
공간도형존재여부 is highly imbalanced (92.5%)Imbalance
이전조서관리코드 has 662 (46.4%) missing valuesMissing
도면번호 has 57 (4.0%) missing valuesMissing
면적_변경 has 706 (49.5%) missing valuesMissing
연장 has 1414 (99.2%) missing valuesMissing
제한내용 has 1397 (98.0%) missing valuesMissing
최초결정일 has 157 (11.0%) missing valuesMissing
비고 has 214 (15.0%) missing valuesMissing
공간도형존재여부 has 770 (54.0%) missing valuesMissing
조서관리코드 has unique valuesUnique
면적_기정 has 628 (44.0%) zerosZeros
면적_변경후 has 43 (3.0%) zerosZeros

Reproduction

Analysis started2023-12-11 22:58:12.011110
Analysis finished2023-12-11 22:58:12.880902
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

조서관리코드
Text

UNIQUE 

Distinct1426
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T07:58:13.015437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters28520
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1426 ?
Unique (%)100.0%

Sample

1st row46170DSZ201105042319
2nd row46170DSZ201105042320
3rd row46170DSZ201105042321
4th row46170DSZ201105042322
5th row46170DSZ201105042323
ValueCountFrequency (%)
46170dsz201105042319 1
 
0.1%
46170dsz201905020226 1
 
0.1%
46170dsz201105042220 1
 
0.1%
46170dsz201105042219 1
 
0.1%
46170dsz201105042218 1
 
0.1%
46170dsz201105042217 1
 
0.1%
46170dsz201105042216 1
 
0.1%
46170dsz201105042215 1
 
0.1%
46170dsz201105042214 1
 
0.1%
46170dsz201105042222 1
 
0.1%
Other values (1416) 1416
99.3%
2023-12-12T07:58:13.366211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6949
24.4%
1 4296
15.1%
2 3121
10.9%
4 2511
 
8.8%
6 1839
 
6.4%
7 1813
 
6.4%
5 1653
 
5.8%
D 1426
 
5.0%
S 1426
 
5.0%
Z 1426
 
5.0%
Other values (3) 2060
 
7.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24242
85.0%
Uppercase Letter 4278
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6949
28.7%
1 4296
17.7%
2 3121
12.9%
4 2511
 
10.4%
6 1839
 
7.6%
7 1813
 
7.5%
5 1653
 
6.8%
9 1048
 
4.3%
3 588
 
2.4%
8 424
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
D 1426
33.3%
S 1426
33.3%
Z 1426
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 24242
85.0%
Latin 4278
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6949
28.7%
1 4296
17.7%
2 3121
12.9%
4 2511
 
10.4%
6 1839
 
7.6%
7 1813
 
7.5%
5 1653
 
6.8%
9 1048
 
4.3%
3 588
 
2.4%
8 424
 
1.7%
Latin
ValueCountFrequency (%)
D 1426
33.3%
S 1426
33.3%
Z 1426
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6949
24.4%
1 4296
15.1%
2 3121
10.9%
4 2511
 
8.8%
6 1839
 
6.4%
7 1813
 
6.4%
5 1653
 
5.8%
D 1426
 
5.0%
S 1426
 
5.0%
Z 1426
 
5.0%
Other values (3) 2060
 
7.2%

계획관리코드
Text

Distinct65
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T07:58:13.594611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters28520
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)3.2%

Sample

1st row46170PPL201105040447
2nd row46170PPL201105040447
3rd row46170PPL201105040447
4th row46170PPL201105040447
5th row46170PPL201105040447
ValueCountFrequency (%)
46170ppl201105040447 623
43.7%
46170ppl201905020001 592
41.5%
46170ppl200302130217 47
 
3.3%
46170ppl200412220235 26
 
1.8%
46170ppl201412050686 21
 
1.5%
46170ppl200004260177 16
 
1.1%
46170ppl201901240001 11
 
0.8%
46170ppl198811260079 10
 
0.7%
46170ppl201201200485 5
 
0.4%
46170ppl200301150209 4
 
0.3%
Other values (55) 71
 
5.0%
2023-12-12T07:58:13.946315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8273
29.0%
1 4245
14.9%
4 3401
11.9%
P 2852
 
10.0%
2 2343
 
8.2%
7 2182
 
7.7%
6 1532
 
5.4%
L 1426
 
5.0%
5 1311
 
4.6%
9 709
 
2.5%
Other values (2) 246
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24242
85.0%
Uppercase Letter 4278
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8273
34.1%
1 4245
17.5%
4 3401
14.0%
2 2343
 
9.7%
7 2182
 
9.0%
6 1532
 
6.3%
5 1311
 
5.4%
9 709
 
2.9%
3 154
 
0.6%
8 92
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
P 2852
66.7%
L 1426
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 24242
85.0%
Latin 4278
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8273
34.1%
1 4245
17.5%
4 3401
14.0%
2 2343
 
9.7%
7 2182
 
9.0%
6 1532
 
6.3%
5 1311
 
5.4%
9 709
 
2.9%
3 154
 
0.6%
8 92
 
0.4%
Latin
ValueCountFrequency (%)
P 2852
66.7%
L 1426
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8273
29.0%
1 4245
14.9%
4 3401
11.9%
P 2852
 
10.0%
2 2343
 
8.2%
7 2182
 
7.7%
6 1532
 
5.4%
L 1426
 
5.0%
5 1311
 
4.6%
9 709
 
2.5%
Other values (2) 246
 
0.9%

지자체
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
46170
1426 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row46170
2nd row46170
3rd row46170
4th row46170
5th row46170

Common Values

ValueCountFrequency (%)
46170 1426
100.0%

Length

2023-12-12T07:58:14.107316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:58:14.230342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
46170 1426
100.0%

업무절차코드
Categorical

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
UBP_E1020200
749 
UBP_K1020200
609 
UBP_A1020200
 
67
UBP_E4010110
 
1

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st rowUBP_E1020200
2nd rowUBP_E1020200
3rd rowUBP_E1020200
4th rowUBP_E1020200
5th rowUBP_E1020200

Common Values

ValueCountFrequency (%)
UBP_E1020200 749
52.5%
UBP_K1020200 609
42.7%
UBP_A1020200 67
 
4.7%
UBP_E4010110 1
 
0.1%

Length

2023-12-12T07:58:14.361056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:58:14.493346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
ubp_e1020200 749
52.5%
ubp_k1020200 609
42.7%
ubp_a1020200 67
 
4.7%
ubp_e4010110 1
 
0.1%

조서유형
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
PMA0002
671 
PMA0001
628 
PMA0003
75 
PMA0004
 
43
PMA0005
 
9

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPMA0001
2nd rowPMA0001
3rd rowPMA0001
4th rowPMA0001
5th rowPMA0001

Common Values

ValueCountFrequency (%)
PMA0002 671
47.1%
PMA0001 628
44.0%
PMA0003 75
 
5.3%
PMA0004 43
 
3.0%
PMA0005 9
 
0.6%

Length

2023-12-12T07:58:14.617965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:58:14.761456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pma0002 671
47.1%
pma0001 628
44.0%
pma0003 75
 
5.3%
pma0004 43
 
3.0%
pma0005 9
 
0.6%

이전조서관리코드
Text

MISSING 

Distinct764
Distinct (%)100.0%
Missing662
Missing (%)46.4%
Memory size11.3 KiB
2023-12-12T07:58:14.991053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters15280
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique764 ?
Unique (%)100.0%

Sample

1st row46170DSZ198512280736
2nd row46170DSZ198811260620
3rd row46170DSZ200004060719
4th row46170DSZ200302130664
5th row46170DSZ198811260614
ValueCountFrequency (%)
46170dsz198811260617 1
 
0.1%
46170dsz201105042003 1
 
0.1%
46170dsz201105042005 1
 
0.1%
46170dsz201105042006 1
 
0.1%
46170dsz201105042007 1
 
0.1%
46170dsz201105042008 1
 
0.1%
46170dsz201105042009 1
 
0.1%
46170dsz201105042010 1
 
0.1%
46170dsz201105042011 1
 
0.1%
46170dsz201105042012 1
 
0.1%
Other values (754) 754
98.7%
2023-12-12T07:58:15.400545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3393
22.2%
1 2693
17.6%
4 1569
10.3%
2 1563
10.2%
7 1011
 
6.6%
6 1010
 
6.6%
5 804
 
5.3%
D 764
 
5.0%
S 764
 
5.0%
Z 764
 
5.0%
Other values (3) 945
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12988
85.0%
Uppercase Letter 2292
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3393
26.1%
1 2693
20.7%
4 1569
12.1%
2 1563
12.0%
7 1011
 
7.8%
6 1010
 
7.8%
5 804
 
6.2%
3 347
 
2.7%
9 308
 
2.4%
8 290
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
D 764
33.3%
S 764
33.3%
Z 764
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 12988
85.0%
Latin 2292
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3393
26.1%
1 2693
20.7%
4 1569
12.1%
2 1563
12.0%
7 1011
 
7.8%
6 1010
 
7.8%
5 804
 
6.2%
3 347
 
2.7%
9 308
 
2.4%
8 290
 
2.2%
Latin
ValueCountFrequency (%)
D 764
33.3%
S 764
33.3%
Z 764
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15280
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3393
22.2%
1 2693
17.6%
4 1569
10.3%
2 1563
10.2%
7 1011
 
6.6%
6 1010
 
6.6%
5 804
 
5.3%
D 764
 
5.0%
S 764
 
5.0%
Z 764
 
5.0%
Other values (3) 945
 
6.2%

최상위조서관리코드
Text

Distinct662
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T07:58:15.705514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters28520
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)1.4%

Sample

1st row46170DSZ201105042319
2nd row46170DSZ201105042320
3rd row46170DSZ201105042321
4th row46170DSZ201105042322
5th row46170DSZ201105042323
ValueCountFrequency (%)
46170dsz200307280765 11
 
0.8%
46170dsz198512280736 7
 
0.5%
46170dsz201710192388 6
 
0.4%
46170dsz198811260622 5
 
0.4%
46170dsz198811260620 5
 
0.4%
46170dsz200302130684 5
 
0.4%
46170dsz198811260615 5
 
0.4%
46170dsz200302130671 5
 
0.4%
46170dsz199807010753 5
 
0.4%
46170dsz200302130688 4
 
0.3%
Other values (652) 1368
95.9%
2023-12-12T07:58:16.140235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6303
22.1%
1 4894
17.2%
2 3081
10.8%
4 2925
10.3%
6 1970
 
6.9%
7 1821
 
6.4%
5 1431
 
5.0%
D 1426
 
5.0%
S 1426
 
5.0%
Z 1426
 
5.0%
Other values (3) 1817
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24242
85.0%
Uppercase Letter 4278
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6303
26.0%
1 4894
20.2%
2 3081
12.7%
4 2925
12.1%
6 1970
 
8.1%
7 1821
 
7.5%
5 1431
 
5.9%
3 733
 
3.0%
9 551
 
2.3%
8 533
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
D 1426
33.3%
S 1426
33.3%
Z 1426
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 24242
85.0%
Latin 4278
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6303
26.0%
1 4894
20.2%
2 3081
12.7%
4 2925
12.1%
6 1970
 
8.1%
7 1821
 
7.5%
5 1431
 
5.9%
3 733
 
3.0%
9 551
 
2.3%
8 533
 
2.2%
Latin
ValueCountFrequency (%)
D 1426
33.3%
S 1426
33.3%
Z 1426
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6303
22.1%
1 4894
17.2%
2 3081
10.8%
4 2925
10.3%
6 1970
 
6.9%
7 1821
 
6.4%
5 1431
 
5.0%
D 1426
 
5.0%
S 1426
 
5.0%
Z 1426
 
5.0%
Other values (3) 1817
 
6.4%

도형상태코드
Categorical

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
PMC0003
826 
PMC0002
600 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowPMC0003
2nd rowPMC0003
3rd rowPMC0003
4th rowPMC0003
5th rowPMC0003

Common Values

ValueCountFrequency (%)
PMC0003 826
57.9%
PMC0002 600
42.1%

Length

2023-12-12T07:58:16.298861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:58:16.414072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
pmc0003 826
57.9%
pmc0002 600
42.1%

도면번호
Text

MISSING 

Distinct563
Distinct (%)41.1%
Missing57
Missing (%)4.0%
Memory size11.3 KiB
2023-12-12T07:58:16.820659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length2.5573411
Min length1

Characters and Unicode

Total characters3501
Distinct characters21
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.4%

Sample

1st row509
2nd row510
3rd row511
4th row512
5th row513
ValueCountFrequency (%)
1 38
 
2.8%
2 31
 
2.3%
3 27
 
2.0%
4 21
 
1.5%
5 18
 
1.3%
6 12
 
0.9%
8 12
 
0.9%
7 11
 
0.8%
14 11
 
0.8%
12 9
 
0.7%
Other values (555) 1183
86.2%
2023-12-12T07:58:17.351058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 537
15.3%
2 505
14.4%
3 469
13.4%
4 464
13.3%
5 366
10.5%
6 231
6.6%
7 229
6.5%
8 225
6.4%
0 223
6.4%
9 221
6.3%
Other values (11) 31
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3470
99.1%
Other Letter 18
 
0.5%
Dash Punctuation 6
 
0.2%
Space Separator 4
 
0.1%
Other Punctuation 2
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 537
15.5%
2 505
14.6%
3 469
13.5%
4 464
13.4%
5 366
10.5%
6 231
6.7%
7 229
6.6%
8 225
6.5%
0 223
6.4%
9 221
6.4%
Other Letter
ValueCountFrequency (%)
가 8
44.4%
관 2
 
11.1%
리 2
 
11.1%
번 2
 
11.1%
호 2
 
11.1%
광 1
 
5.6%
주 1
 
5.6%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2
100.0%
Other Symbol
ValueCountFrequency (%)
ⓐ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3483
99.5%
Hangul 18
 
0.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 537
15.4%
2 505
14.5%
3 469
13.5%
4 464
13.3%
5 366
10.5%
6 231
6.6%
7 229
6.6%
8 225
6.5%
0 223
6.4%
9 221
6.3%
Other values (4) 13
 
0.4%
Hangul
ValueCountFrequency (%)
가 8
44.4%
관 2
 
11.1%
리 2
 
11.1%
번 2
 
11.1%
호 2
 
11.1%
광 1
 
5.6%
주 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3482
99.5%
Hangul 18
 
0.5%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 537
15.4%
2 505
14.5%
3 469
13.5%
4 464
13.3%
5 366
10.5%
6 231
6.6%
7 229
6.6%
8 225
6.5%
0 223
6.4%
9 221
6.3%
Other values (3) 12
 
0.3%
Hangul
ValueCountFrequency (%)
가 8
44.4%
관 2
 
11.1%
리 2
 
11.1%
번 2
 
11.1%
호 2
 
11.1%
광 1
 
5.6%
주 1
 
5.6%
Enclosed Alphanum
ValueCountFrequency (%)
ⓐ 1
100.0%

대분류
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
UQM100
1284 
UQN100
 
51
UQK100
 
33
UQH100
 
21
UQP100
 
16
Other values (3)
 
21

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowUQM100
2nd rowUQM100
3rd rowUQM100
4th rowUQM100
5th rowUQM100

Common Values

ValueCountFrequency (%)
UQM100 1284
90.0%
UQN100 51
 
3.6%
UQK100 33
 
2.3%
UQH100 21
 
1.5%
UQP100 16
 
1.1%
UQI100 13
 
0.9%
UQG100 5
 
0.4%
UQF100 3
 
0.2%

Length

2023-12-12T07:58:17.516446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:58:17.648159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
uqm100 1284
90.0%
uqn100 51
 
3.6%
uqk100 33
 
2.3%
uqh100 21
 
1.5%
uqp100 16
 
1.1%
uqi100 13
 
0.9%
uqg100 5
 
0.4%
uqf100 3
 
0.2%

중분류
Categorical

IMBALANCE 

Distinct21
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
UQM110
1239 
UQN140
 
41
UQM999
 
27
UQK110
 
20
UQP999
 
16
Other values (16)
 
83

Length

Max length6
Median length6
Mean length5.9817672
Min length4

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st rowUQM110
2nd rowUQM110
3rd rowUQM110
4th rowUQM110
5th rowUQM110

Common Values

ValueCountFrequency (%)
UQM110 1239
86.9%
UQN140 41
 
2.9%
UQM999 27
 
1.9%
UQK110 20
 
1.4%
UQP999 16
 
1.1%
UQM120 15
 
1.1%
<NA> 13
 
0.9%
UQH120 11
 
0.8%
UQK140 10
 
0.7%
UQH110 6
 
0.4%
Other values (11) 28
 
2.0%

Length

2023-12-12T07:58:17.788846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
uqm110 1239
86.9%
uqn140 41
 
2.9%
uqm999 27
 
1.9%
uqk110 20
 
1.4%
uqp999 16
 
1.1%
uqm120 15
 
1.1%
na 13
 
0.9%
uqh120 11
 
0.8%
uqk140 10
 
0.7%
uqh110 6
 
0.4%
Other values (11) 28
 
2.0%

지구명
Text

Distinct669
Distinct (%)46.9%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T07:58:18.127144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length8
Mean length7.9754558
Min length3

Characters and Unicode

Total characters11373
Distinct characters270
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 (%)7.2%

Sample

1st row내촌자연취락지구
2nd row장치자연취락지구
3rd row옥산자연취락지구
4th row인읍자연취락지구
5th row누실자연취락지구
ValueCountFrequency (%)
나주시 34
 
2.2%
취락지구 32
 
2.1%
신기자연취락지구 10
 
0.7%
우산지구 10
 
0.7%
상촌자연취락지구 8
 
0.5%
방축자연취락지구 8
 
0.5%
덕산자연취락지구 8
 
0.5%
신촌자연취락지구 8
 
0.5%
본촌자연취락지구 6
 
0.4%
화산자연취락지구 6
 
0.4%
Other values (664) 1396
91.5%
2023-12-12T07:58:18.620463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 1460
12.8%
구 1449
12.7%
취 1224
 
10.8%
락 1224
 
10.8%
연 1133
 
10.0%
자 1113
 
9.8%
동 248
 
2.2%
산 135
 
1.2%
촌 116
 
1.0%
100
 
0.9%
Other values (260) 3171
27.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11111
97.7%
Decimal Number 109
 
1.0%
Space Separator 100
 
0.9%
Other Punctuation 40
 
0.4%
Open Punctuation 5
 
< 0.1%
Close Punctuation 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1460
13.1%
구 1449
13.0%
취 1224
11.0%
락 1224
11.0%
연 1133
 
10.2%
자 1113
 
10.0%
동 248
 
2.2%
산 135
 
1.2%
촌 116
 
1.0%
정 90
 
0.8%
Other values (251) 2919
26.3%
Decimal Number
ValueCountFrequency (%)
1 51
46.8%
2 50
45.9%
3 8
 
7.3%
Other Punctuation
ValueCountFrequency (%)
, 39
97.5%
. 1
 
2.5%
Space Separator
ValueCountFrequency (%)
100
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11111
97.7%
Common 262
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1460
13.1%
구 1449
13.0%
취 1224
11.0%
락 1224
11.0%
연 1133
 
10.2%
자 1113
 
10.0%
동 248
 
2.2%
산 135
 
1.2%
촌 116
 
1.0%
정 90
 
0.8%
Other values (251) 2919
26.3%
Common
ValueCountFrequency (%)
100
38.2%
1 51
19.5%
2 50
19.1%
, 39
 
14.9%
3 8
 
3.1%
( 5
 
1.9%
) 5
 
1.9%
- 3
 
1.1%
. 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11111
97.7%
ASCII 262
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 1460
13.1%
구 1449
13.0%
취 1224
11.0%
락 1224
11.0%
연 1133
 
10.2%
자 1113
 
10.0%
동 248
 
2.2%
산 135
 
1.2%
촌 116
 
1.0%
정 90
 
0.8%
Other values (251) 2919
26.3%
ASCII
ValueCountFrequency (%)
100
38.2%
1 51
19.5%
2 50
19.1%
, 39
 
14.9%
3 8
 
3.1%
( 5
 
1.9%
) 5
 
1.9%
- 3
 
1.1%
. 1
 
0.4%

위치명
Text

Distinct771
Distinct (%)54.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T07:58:19.032861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length14
Mean length14.138149
Min length3

Characters and Unicode

Total characters20161
Distinct characters134
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

Unique150 ?
Unique (%)10.5%

Sample

1st row봉황면 오림리 324 일원
2nd row봉황면 오림리 653 일원
3rd row봉황면 옥산리 393 일원
4th row봉황면 옥산리 40 일원
5th row봉황면 와우리 271 일원
ValueCountFrequency (%)
일원 1285
23.8%
봉황면 144
 
2.7%
동강면 121
 
2.2%
왕곡면 111
 
2.1%
노안면 111
 
2.1%
남평읍 104
 
1.9%
다시면 96
 
1.8%
문평면 93
 
1.7%
세지면 88
 
1.6%
다도면 87
 
1.6%
Other values (838) 3152
58.5%
2023-12-12T07:58:19.593436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3971
19.7%
원 1386
 
6.9%
일 1351
 
6.7%
리 1237
 
6.1%
면 1128
 
5.6%
1 691
 
3.4%
3 511
 
2.5%
2 503
 
2.5%
동 476
 
2.4%
4 432
 
2.1%
Other values (124) 8475
42.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11248
55.8%
Decimal Number 4339
 
21.5%
Space Separator 3971
 
19.7%
Dash Punctuation 365
 
1.8%
Open Punctuation 112
 
0.6%
Close Punctuation 112
 
0.6%
Other Punctuation 14
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1386
 
12.3%
일 1351
 
12.0%
리 1237
 
11.0%
면 1128
 
10.0%
동 476
 
4.2%
산 414
 
3.7%
대 257
 
2.3%
곡 246
 
2.2%
평 226
 
2.0%
남 218
 
1.9%
Other values (108) 4309
38.3%
Decimal Number
ValueCountFrequency (%)
1 691
15.9%
3 511
11.8%
2 503
11.6%
4 432
10.0%
5 421
9.7%
0 406
9.4%
7 374
8.6%
8 365
8.4%
6 346
8.0%
9 290
6.7%
Other Punctuation
ValueCountFrequency (%)
, 12
85.7%
. 2
 
14.3%
Space Separator
ValueCountFrequency (%)
3971
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 365
100.0%
Open Punctuation
ValueCountFrequency (%)
( 112
100.0%
Close Punctuation
ValueCountFrequency (%)
) 112
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11248
55.8%
Common 8913
44.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1386
 
12.3%
일 1351
 
12.0%
리 1237
 
11.0%
면 1128
 
10.0%
동 476
 
4.2%
산 414
 
3.7%
대 257
 
2.3%
곡 246
 
2.2%
평 226
 
2.0%
남 218
 
1.9%
Other values (108) 4309
38.3%
Common
ValueCountFrequency (%)
3971
44.6%
1 691
 
7.8%
3 511
 
5.7%
2 503
 
5.6%
4 432
 
4.8%
5 421
 
4.7%
0 406
 
4.6%
7 374
 
4.2%
- 365
 
4.1%
8 365
 
4.1%
Other values (6) 874
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11248
55.8%
ASCII 8913
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3971
44.6%
1 691
 
7.8%
3 511
 
5.7%
2 503
 
5.6%
4 432
 
4.8%
5 421
 
4.7%
0 406
 
4.6%
7 374
 
4.2%
- 365
 
4.1%
8 365
 
4.1%
Other values (6) 874
 
9.8%
Hangul
ValueCountFrequency (%)
원 1386
 
12.3%
일 1351
 
12.0%
리 1237
 
11.0%
면 1128
 
10.0%
동 476
 
4.2%
산 414
 
3.7%
대 257
 
2.3%
곡 246
 
2.2%
평 226
 
2.0%
남 218
 
1.9%
Other values (108) 4309
38.3%

면적_기정
Real number (ℝ)

ZEROS 

Distinct657
Distinct (%)46.1%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean133406.83
Minimum0
Maximum16484000
Zeros628
Zeros (%)44.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T07:58:19.776011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8650
Q326179
95-th percentile152680
Maximum16484000
Range16484000
Interquartile range (IQR)26179

Descriptive statistics

Standard deviation1106283.8
Coefficient of variation (CV)8.2925577
Kurtosis186.75126
Mean133406.83
Median Absolute Deviation (MAD)8650
Skewness13.352615
Sum1.9010473 × 108
Variance1.2238639 × 1012
MonotonicityNot monotonic
2023-12-12T07:58:19.932355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 628
44.0%
2147670 7
 
0.5%
16484000 5
 
0.4%
313000 4
 
0.3%
139000 4
 
0.3%
40000 4
 
0.3%
176930 4
 
0.3%
10200 4
 
0.3%
32700 4
 
0.3%
192120 4
 
0.3%
Other values (647) 757
53.1%
ValueCountFrequency (%)
0 628
44.0%
650 1
 
0.1%
1200 2
 
0.1%
1859 1
 
0.1%
2324 1
 
0.1%
2890 1
 
0.1%
3145 1
 
0.1%
3310 1
 
0.1%
3595 1
 
0.1%
3880 1
 
0.1%
ValueCountFrequency (%)
16484000 5
0.4%
12406000 2
 
0.1%
2641234 1
 
0.1%
2226265 1
 
0.1%
2225716 2
 
0.1%
2170067 1
 
0.1%
2157600 2
 
0.1%
2147670 7
0.5%
1992000 1
 
0.1%
1762000 2
 
0.1%

면적_증감코드
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
706 
1
646 
2
74 

Length

Max length4
Median length1
Mean length2.4852735
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 706
49.5%
1 646
45.3%
2 74
 
5.2%

Length

2023-12-12T07:58:20.102735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:58:20.232023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 706
49.5%
1 646
45.3%
2 74
 
5.2%

면적_변경
Real number (ℝ)

MISSING 

Distinct663
Distinct (%)92.1%
Missing706
Missing (%)49.5%
Infinite0
Infinite (%)0.0%
Mean74391.717
Minimum3
Maximum4170000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T07:58:20.390273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5170
Q112887.5
median21632.5
Q335747.5
95-th percentile148629.5
Maximum4170000
Range4169997
Interquartile range (IQR)22860

Descriptive statistics

Standard deviation291975.41
Coefficient of variation (CV)3.9248377
Kurtosis91.993554
Mean74391.717
Median Absolute Deviation (MAD)10465
Skewness8.6829411
Sum53562036
Variance8.5249643 × 1010
MonotonicityNot monotonic
2023-12-12T07:58:20.882508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40000 6
 
0.4%
18800 3
 
0.2%
7300 2
 
0.1%
129570 2
 
0.1%
20580 2
 
0.1%
24730 2
 
0.1%
14100 2
 
0.1%
19719 2
 
0.1%
40310 2
 
0.1%
6950 2
 
0.1%
Other values (653) 695
48.7%
(Missing) 706
49.5%
ValueCountFrequency (%)
3 1
0.1%
549 1
0.1%
650 2
0.1%
656 2
0.1%
1200 1
0.1%
1380 1
0.1%
1885 1
0.1%
1943 1
0.1%
2000 1
0.1%
2324 2
0.1%
ValueCountFrequency (%)
4170000 1
0.1%
3410000 1
0.1%
2225716 2
0.1%
2170067 1
0.1%
1657000 1
0.1%
1514000 1
0.1%
1480000 1
0.1%
1388000 1
0.1%
1304000 1
0.1%
1152000 1
0.1%

면적_변경후
Real number (ℝ)

ZEROS 

Distinct667
Distinct (%)46.8%
Missing1
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean144862.17
Minimum0
Maximum16524000
Zeros43
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size12.7 KiB
2023-12-12T07:58:21.039142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4372
Q112745
median21580
Q336145
95-th percentile176930
Maximum16524000
Range16524000
Interquartile range (IQR)23400

Descriptive statistics

Standard deviation1098844.6
Coefficient of variation (CV)7.5854489
Kurtosis180.94471
Mean144862.17
Median Absolute Deviation (MAD)10730
Skewness13.09318
Sum2.064286 × 108
Variance1.2074595 × 1012
MonotonicityNot monotonic
2023-12-12T07:58:21.162978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
3.0%
2147670 7
 
0.5%
32700 6
 
0.4%
12130 5
 
0.4%
313000 5
 
0.4%
192120 5
 
0.4%
176930 5
 
0.4%
32800 4
 
0.3%
6980 4
 
0.3%
139000 4
 
0.3%
Other values (657) 1337
93.8%
ValueCountFrequency (%)
0 43
3.0%
650 1
 
0.1%
1200 3
 
0.2%
1859 1
 
0.1%
2000 1
 
0.1%
2324 1
 
0.1%
2890 2
 
0.1%
3145 2
 
0.1%
3310 2
 
0.1%
3595 2
 
0.1%
ValueCountFrequency (%)
16524000 1
0.1%
16484000 2
0.1%
16475000 1
0.1%
15004000 1
0.1%
12406000 2
0.1%
4170000 1
0.1%
3410000 1
0.1%
2647229 1
0.1%
2643767 1
0.1%
2226265 1
0.1%

연장
Text

MISSING 

Distinct6
Distinct (%)50.0%
Missing1414
Missing (%)99.2%
Memory size11.3 KiB
2023-12-12T07:58:21.280648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9166667
Min length2

Characters and Unicode

Total characters47
Distinct characters6
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

Unique3 ?
Unique (%)25.0%

Sample

1st row2,120
2nd row1,220
3rd row500
4th row500
5th row700
ValueCountFrequency (%)
1,000 4
33.3%
500 3
25.0%
700 2
16.7%
2,120 1
 
8.3%
1,220 1
 
8.3%
25 1
 
8.3%
2023-12-12T07:58:21.503875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 24
51.1%
1 6
 
12.8%
, 6
 
12.8%
2 5
 
10.6%
5 4
 
8.5%
7 2
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 41
87.2%
Other Punctuation 6
 
12.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 24
58.5%
1 6
 
14.6%
2 5
 
12.2%
5 4
 
9.8%
7 2
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 24
51.1%
1 6
 
12.8%
, 6
 
12.8%
2 5
 
10.6%
5 4
 
8.5%
7 2
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 24
51.1%
1 6
 
12.8%
, 6
 
12.8%
2 5
 
10.6%
5 4
 
8.5%
7 2
 
4.3%

폭원
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
1412 
20
 
8
13
 
4
713
 
1
26
 
1

Length

Max length4
Median length4
Mean length3.9810659
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1412
99.0%
20 8
 
0.6%
13 4
 
0.3%
713 1
 
0.1%
26 1
 
0.1%

Length

2023-12-12T07:58:21.622093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:58:21.741616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1412
99.0%
20 8
 
0.6%
13 4
 
0.3%
713 1
 
0.1%
26 1
 
0.1%

제한내용
Text

MISSING 

Distinct15
Distinct (%)51.7%
Missing1397
Missing (%)98.0%
Memory size11.3 KiB
2023-12-12T07:58:21.885168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length13.034483
Min length4

Characters and Unicode

Total characters378
Distinct characters34
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)31.0%

Sample

1st row현지반고에서 9m이상
2nd row현지반고에서 9m이상(3층이상)
3rd row현지반고에서 9m이상(3층이상)
4th row현지반고에서 9m이상
5th row현지반고에서 9m이상
ValueCountFrequency (%)
현지반고에서 14
24.6%
이하 10
17.5%
현지반고에서10m이하(2층 5
 
8.8%
5층 5
 
8.8%
9m이상 4
 
7.0%
9m이상(3층이상 2
 
3.5%
6m이상(2층이상 2
 
3.5%
4층이하 2
 
3.5%
3m미만 2
 
3.5%
10m이하(2층이하 2
 
3.5%
Other values (9) 9
15.8%
2023-12-12T07:58:22.131381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 42
 
11.1%
28
 
7.4%
하 25
 
6.6%
고 22
 
5.8%
층 22
 
5.8%
반 21
 
5.6%
에 21
 
5.6%
서 21
 
5.6%
지 21
 
5.6%
m 21
 
5.6%
Other values (24) 134
35.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 243
64.3%
Decimal Number 54
 
14.3%
Space Separator 28
 
7.4%
Lowercase Letter 21
 
5.6%
Close Punctuation 15
 
4.0%
Open Punctuation 15
 
4.0%
Other Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 42
17.3%
하 25
10.3%
고 22
9.1%
층 22
9.1%
반 21
8.6%
에 21
8.6%
서 21
8.6%
지 21
8.6%
현 20
8.2%
상 16
 
6.6%
Other values (10) 12
 
4.9%
Decimal Number
ValueCountFrequency (%)
5 9
16.7%
9 9
16.7%
2 9
16.7%
1 9
16.7%
0 8
14.8%
3 5
9.3%
6 3
 
5.6%
4 2
 
3.7%
Other Punctuation
ValueCountFrequency (%)
: 1
50.0%
% 1
50.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 243
64.3%
Common 114
30.2%
Latin 21
 
5.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 42
17.3%
하 25
10.3%
고 22
9.1%
층 22
9.1%
반 21
8.6%
에 21
8.6%
서 21
8.6%
지 21
8.6%
현 20
8.2%
상 16
 
6.6%
Other values (10) 12
 
4.9%
Common
ValueCountFrequency (%)
28
24.6%
) 15
13.2%
( 15
13.2%
5 9
 
7.9%
9 9
 
7.9%
2 9
 
7.9%
1 9
 
7.9%
0 8
 
7.0%
3 5
 
4.4%
6 3
 
2.6%
Other values (3) 4
 
3.5%
Latin
ValueCountFrequency (%)
m 21
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 243
64.3%
ASCII 135
35.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 42
17.3%
하 25
10.3%
고 22
9.1%
층 22
9.1%
반 21
8.6%
에 21
8.6%
서 21
8.6%
지 21
8.6%
현 20
8.2%
상 16
 
6.6%
Other values (10) 12
 
4.9%
ASCII
ValueCountFrequency (%)
28
20.7%
m 21
15.6%
) 15
11.1%
( 15
11.1%
5 9
 
6.7%
9 9
 
6.7%
2 9
 
6.7%
1 9
 
6.7%
0 8
 
5.9%
3 5
 
3.7%
Other values (4) 7
 
5.2%

최초결정일
Date

MISSING 

Distinct28
Distinct (%)2.2%
Missing157
Missing (%)11.0%
Memory size11.3 KiB
Minimum1986-02-03 00:00:00
Maximum2017-10-26 00:00:00
2023-12-12T07:58:22.233585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:58:22.321716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)

최초결정일자정보
Categorical

IMBALANCE 

Distinct21
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
<NA>
782 
전라남도고시제2011-123호
533 
나주시고시제2003-16호
 
32
전라남도고시제1988-177호
 
25
전라남도고시제2004-224호
 
21
Other values (16)
 
33

Length

Max length18
Median length4
Mean length9.3485273
Min length4

Unique

Unique9 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 782
54.8%
전라남도고시제2011-123호 533
37.4%
나주시고시제2003-16호 32
 
2.2%
전라남도고시제1988-177호 25
 
1.8%
전라남도고시제2004-224호 21
 
1.5%
건설교통부고시제2002-104호 9
 
0.6%
나주시고시제2003-78호 4
 
0.3%
나주시고시제2006-4호 3
 
0.2%
나주시고시제2003-26호 2
 
0.1%
나주시고시제2006-5호 2
 
0.1%
Other values (11) 13
 
0.9%

Length

2023-12-12T07:58:22.418205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 782
54.8%
전라남도고시제2011-123호 533
37.3%
나주시고시제2003-16호 32
 
2.2%
전라남도고시제1988-177호 25
 
1.8%
전라남도고시제2004-224호 21
 
1.5%
건설교통부고시제2002-104호 9
 
0.6%
나주시고시제2003-78호 4
 
0.3%
나주시고시제2006-4호 3
 
0.2%
나주시고시제2006-6호 2
 
0.1%
전라남도고시제2017-346호 2
 
0.1%
Other values (13) 15
 
1.1%

비고
Text

MISSING 

Distinct169
Distinct (%)13.9%
Missing214
Missing (%)15.0%
Memory size11.3 KiB
2023-12-12T07:58:22.632313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length3
Mean length4.3712871
Min length2

Characters and Unicode

Total characters5298
Distinct characters92
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)4.0%

Sample

1st row29호
2nd row13호
3rd row79호
4th row39호
5th row90호
ValueCountFrequency (%)
20호 44
 
3.4%
22호 37
 
2.8%
25호 34
 
2.6%
15호 32
 
2.4%
12호 29
 
2.2%
26호 28
 
2.1%
42호 27
 
2.1%
45호 27
 
2.1%
18호 24
 
1.8%
24호 24
 
1.8%
Other values (198) 1004
76.6%
2023-12-12T07:58:22.993722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
호 1138
21.5%
2 633
11.9%
1 521
9.8%
4 398
 
7.5%
0 346
 
6.5%
3 279
 
5.3%
5 246
 
4.6%
6 210
 
4.0%
8 184
 
3.5%
7 183
 
3.5%
Other values (82) 1160
21.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3142
59.3%
Other Letter 1635
30.9%
Other Punctuation 218
 
4.1%
Space Separator 103
 
1.9%
Dash Punctuation 69
 
1.3%
Open Punctuation 62
 
1.2%
Close Punctuation 62
 
1.2%
Connector Punctuation 2
 
< 0.1%
Other Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
호 1138
69.6%
고 62
 
3.8%
전 44
 
2.7%
구 39
 
2.4%
지 35
 
2.1%
제 35
 
2.1%
가 32
 
2.0%
연 22
 
1.3%
자 22
 
1.3%
녹 21
 
1.3%
Other values (59) 185
 
11.3%
Decimal Number
ValueCountFrequency (%)
2 633
20.1%
1 521
16.6%
4 398
12.7%
0 346
11.0%
3 279
8.9%
5 246
 
7.8%
6 210
 
6.7%
8 184
 
5.9%
7 183
 
5.8%
9 142
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 160
73.4%
, 41
 
18.8%
: 14
 
6.4%
% 3
 
1.4%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%
Space Separator
ValueCountFrequency (%)
103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 69
100.0%
Open Punctuation
ValueCountFrequency (%)
( 62
100.0%
Close Punctuation
ValueCountFrequency (%)
) 62
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㎢ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3661
69.1%
Hangul 1635
30.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
호 1138
69.6%
고 62
 
3.8%
전 44
 
2.7%
구 39
 
2.4%
지 35
 
2.1%
제 35
 
2.1%
가 32
 
2.0%
연 22
 
1.3%
자 22
 
1.3%
녹 21
 
1.3%
Other values (59) 185
 
11.3%
Common
ValueCountFrequency (%)
2 633
17.3%
1 521
14.2%
4 398
10.9%
0 346
9.5%
3 279
7.6%
5 246
 
6.7%
6 210
 
5.7%
8 184
 
5.0%
7 183
 
5.0%
. 160
 
4.4%
Other values (11) 501
13.7%
Latin
ValueCountFrequency (%)
k 1
50.0%
m 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3661
69.1%
Hangul 1635
30.9%
CJK Compat 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
호 1138
69.6%
고 62
 
3.8%
전 44
 
2.7%
구 39
 
2.4%
지 35
 
2.1%
제 35
 
2.1%
가 32
 
2.0%
연 22
 
1.3%
자 22
 
1.3%
녹 21
 
1.3%
Other values (59) 185
 
11.3%
ASCII
ValueCountFrequency (%)
2 633
17.3%
1 521
14.2%
4 398
10.9%
0 346
9.5%
3 279
7.6%
5 246
 
6.7%
6 210
 
5.7%
8 184
 
5.0%
7 183
 
5.0%
. 160
 
4.4%
Other values (12) 501
13.7%
CJK Compat
ValueCountFrequency (%)
㎢ 2
100.0%

결정고시관리코드(NTC)
Text

Distinct65
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
2023-12-12T07:58:23.140296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length20
Mean length20
Min length20

Characters and Unicode

Total characters28520
Distinct characters13
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)3.2%

Sample

1st row46170NTC201105040447
2nd row46170NTC201105040447
3rd row46170NTC201105040447
4th row46170NTC201105040447
5th row46170NTC201105040447
ValueCountFrequency (%)
46170ntc201105040447 623
43.7%
46170ntc201905020001 592
41.5%
46170ntc200302130217 47
 
3.3%
46170ntc200412220235 26
 
1.8%
46170ntc201412050686 21
 
1.5%
46170ntc200004260177 16
 
1.1%
46170ntc201901240001 11
 
0.8%
46170ntc198811260079 10
 
0.7%
46170ntc201201200485 5
 
0.4%
46170ntc200301150209 4
 
0.3%
Other values (55) 71
 
5.0%
2023-12-12T07:58:23.371092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8276
29.0%
1 4244
14.9%
4 3401
11.9%
2 2343
 
8.2%
7 2181
 
7.6%
6 1534
 
5.4%
N 1426
 
5.0%
T 1426
 
5.0%
C 1426
 
5.0%
5 1309
 
4.6%
Other values (3) 954
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24242
85.0%
Uppercase Letter 4278
 
15.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8276
34.1%
1 4244
17.5%
4 3401
14.0%
2 2343
 
9.7%
7 2181
 
9.0%
6 1534
 
6.3%
5 1309
 
5.4%
9 709
 
2.9%
3 154
 
0.6%
8 91
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
N 1426
33.3%
T 1426
33.3%
C 1426
33.3%

Most occurring scripts

ValueCountFrequency (%)
Common 24242
85.0%
Latin 4278
 
15.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8276
34.1%
1 4244
17.5%
4 3401
14.0%
2 2343
 
9.7%
7 2181
 
9.0%
6 1534
 
6.3%
5 1309
 
5.4%
9 709
 
2.9%
3 154
 
0.6%
8 91
 
0.4%
Latin
ValueCountFrequency (%)
N 1426
33.3%
T 1426
33.3%
C 1426
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28520
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8276
29.0%
1 4244
14.9%
4 3401
11.9%
2 2343
 
8.2%
7 2181
 
7.6%
6 1534
 
5.4%
N 1426
 
5.0%
T 1426
 
5.0%
C 1426
 
5.0%
5 1309
 
4.6%
Other values (3) 954
 
3.3%

승인고시관리코드(NTC)
Categorical

IMBALANCE 

Distinct38
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
46170NTC201105130449
623 
46170NTC201905020001
592 
<NA>
77 
46170NTC200304170224
 
47
46170NTC201412050686
 
21
Other values (33)
66 

Length

Max length20
Median length20
Mean length19.136045
Min length4

Unique

Unique25 ?
Unique (%)1.8%

Sample

1st row46170NTC201105130449
2nd row46170NTC201105130449
3rd row46170NTC201105130449
4th row46170NTC201105130449
5th row46170NTC201105130449

Common Values

ValueCountFrequency (%)
46170NTC201105130449 623
43.7%
46170NTC201905020001 592
41.5%
<NA> 77
 
5.4%
46170NTC200304170224 47
 
3.3%
46170NTC201412050686 21
 
1.5%
46170NTC201901310001 11
 
0.8%
46170NTC198811260079 10
 
0.7%
46170NTC201201200485 5
 
0.4%
46170NTC200303070222 4
 
0.3%
46170NTC202109020001 3
 
0.2%
Other values (28) 33
 
2.3%

Length

2023-12-12T07:58:23.494401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
46170ntc201105130449 623
43.7%
46170ntc201905020001 592
41.5%
na 77
 
5.4%
46170ntc200304170224 47
 
3.3%
46170ntc201412050686 21
 
1.5%
46170ntc201901310001 11
 
0.8%
46170ntc198811260079 10
 
0.7%
46170ntc201201200485 5
 
0.4%
46170ntc200303070222 4
 
0.3%
46170ntc202109020001 3
 
0.2%
Other values (28) 33
 
2.3%

시스템 생성자ID
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
sysadmin1
1426 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowsysadmin1
2nd rowsysadmin1
3rd rowsysadmin1
4th rowsysadmin1
5th rowsysadmin1

Common Values

ValueCountFrequency (%)
sysadmin1 1426
100.0%

Length

2023-12-12T07:58:23.622190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T07:58:23.697290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
sysadmin1 1426
100.0%

시스템 생성일시
Date

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size11.3 KiB
Minimum2021-05-03 00:00:00
Maximum2022-12-21 00:00:00
2023-12-12T07:58:23.757934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T07:58:23.843653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=5)

공간도형존재여부
Boolean

IMBALANCE  MISSING 

Distinct2
Distinct (%)0.3%
Missing770
Missing (%)54.0%
Memory size2.9 KiB
False
650 
True
 
6
(Missing)
770 
ValueCountFrequency (%)
False 650
45.6%
True 6
 
0.4%
(Missing) 770
54.0%
2023-12-12T07:58:23.914864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

조서관리코드계획관리코드지자체업무절차코드조서유형이전조서관리코드최상위조서관리코드도형상태코드도면번호대분류중분류지구명위치명면적_기정면적_증감코드면적_변경면적_변경후연장폭원제한내용최초결정일최초결정일자정보비고결정고시관리코드(NTC)승인고시관리코드(NTC)시스템 생성자ID시스템 생성일시공간도형존재여부
046170DSZ20110504231946170PPL20110504044746170UBP_E1020200PMA0001<NA>46170DSZ201105042319PMC0003509UQM100UQM110내촌자연취락지구봉황면 오림리 324 일원012671026710<NA><NA><NA>2011-05-04<NA>29호46170NTC20110504044746170NTC201105130449sysadmin12021-05-03N
146170DSZ20110504232046170PPL20110504044746170UBP_E1020200PMA0001<NA>46170DSZ201105042320PMC0003510UQM100UQM110장치자연취락지구봉황면 오림리 653 일원0172307230<NA><NA><NA>2011-05-04<NA>13호46170NTC20110504044746170NTC201105130449sysadmin12021-05-03N
246170DSZ20110504232146170PPL20110504044746170UBP_E1020200PMA0001<NA>46170DSZ201105042321PMC0003511UQM100UQM110옥산자연취락지구봉황면 옥산리 393 일원013922039220<NA><NA><NA>2011-05-04<NA>79호46170NTC20110504044746170NTC201105130449sysadmin12021-05-03N
346170DSZ20110504232246170PPL20110504044746170UBP_E1020200PMA0001<NA>46170DSZ201105042322PMC0003512UQM100UQM110인읍자연취락지구봉황면 옥산리 40 일원012971029710<NA><NA><NA>2011-05-04<NA>39호46170NTC20110504044746170NTC201105130449sysadmin12021-05-03N
446170DSZ20110504232346170PPL20110504044746170UBP_E1020200PMA0001<NA>46170DSZ201105042323PMC0003513UQM100UQM110누실자연취락지구봉황면 와우리 271 일원015603056030<NA><NA><NA>2011-05-04<NA>90호46170NTC20110504044746170NTC201105130449sysadmin12021-05-03N
546170DSZ20110504232446170PPL20110504044746170UBP_E1020200PMA0001<NA>46170DSZ201105042324PMC0003514UQM100UQM110분동자연취락지구봉황면 와우리 705-1 일원011447514475<NA><NA><NA>2011-05-04<NA>29호46170NTC20110504044746170NTC201105130449sysadmin12021-05-03N
646170DSZ20110504232546170PPL20110504044746170UBP_E1020200PMA0001<NA>46170DSZ201105042325PMC0003515UQM100UQM110각동자연취락지구봉황면 와우리 788 일원0184608460<NA><NA><NA>2011-05-04<NA>24호46170NTC20110504044746170NTC201105130449sysadmin12021-05-03N
746170DSZ20110504232646170PPL20110504044746170UBP_E1020200PMA0001<NA>46170DSZ201105042326PMC0003516UQM100UQM110봉동자연취락지구봉황면 와우리 580-1 일원011648516485<NA><NA><NA>2011-05-04<NA>26호46170NTC20110504044746170NTC201105130449sysadmin12021-05-03N
846170DSZ20110504232746170PPL20110504044746170UBP_E1020200PMA0001<NA>46170DSZ201105042327PMC0003517UQM100UQM110월곡자연취락지구봉황면 용곡리 54 일원012053020530<NA><NA><NA>2011-05-04<NA>28호46170NTC20110504044746170NTC201105130449sysadmin12021-05-03N
946170DSZ20110504232846170PPL20110504044746170UBP_E1020200PMA0001<NA>46170DSZ201105042328PMC0003518UQM100UQM110미사자연취락지구봉황면 용곡리 273 일원011288012880<NA><NA><NA>2011-05-04<NA>15호46170NTC20110504044746170NTC201105130449sysadmin12021-05-03N
조서관리코드계획관리코드지자체업무절차코드조서유형이전조서관리코드최상위조서관리코드도형상태코드도면번호대분류중분류지구명위치명면적_기정면적_증감코드면적_변경면적_변경후연장폭원제한내용최초결정일최초결정일자정보비고결정고시관리코드(NTC)승인고시관리코드(NTC)시스템 생성자ID시스템 생성일시공간도형존재여부
141646170DSZ20190502044046170PPL20190502000146170UBP_K1020200PMA000246170DSZ20110504223146170DSZ201105042231PMC0002421UQM100UQM110샛터2자연취락지구산포면 등수리 485 일원15850<NA><NA>15850<NA><NA><NA>2011-05-04전라남도고시제2011-123호42호46170NTC20190502000146170NTC201905020001sysadmin12021-05-03<NA>
141746170DSZ20190502044146170PPL20190502000146170UBP_K1020200PMA000246170DSZ20110504223246170DSZ201105042232PMC0002422UQM100UQM110정자자연취락지구산포면 등정리 449 일원34340<NA><NA>34340<NA><NA><NA>2011-05-04전라남도고시제2011-123호101호46170NTC20190502000146170NTC201905020001sysadmin12021-05-03<NA>
141846170DSZ20190502044246170PPL20190502000146170UBP_K1020200PMA000246170DSZ20110504223346170DSZ201105042233PMC0002423UQM100UQM110구등자연취락지구산포면 등정리 160 일원43620<NA><NA>43620<NA><NA><NA>2011-05-04전라남도고시제2011-123호65호46170NTC20190502000146170NTC201905020001sysadmin12021-05-03<NA>
141946170DSZ20190502044346170PPL20190502000146170UBP_K1020200PMA000246170DSZ20110504223446170DSZ201105042234PMC0002424UQM100UQM110시너울자연취락지구산포면 등정리 4 일원4400<NA><NA>4400<NA><NA><NA>2011-05-04전라남도고시제2011-123호72호46170NTC20190502000146170NTC201905020001sysadmin12021-05-03<NA>
142046170DSZ20190502044446170PPL20190502000146170UBP_K1020200PMA000246170DSZ20110504223546170DSZ201105042235PMC0002425UQM100UQM110금와자연취락지구산포면 등정리 601 -4 일원23630<NA><NA>23630<NA><NA><NA>2011-05-04전라남도고시제2011-123호62호46170NTC20190502000146170NTC201905020001sysadmin12021-05-03<NA>
142146170DSZ20190502044546170PPL20190502000146170UBP_K1020200PMA000246170DSZ20110504223646170DSZ201105042236PMC0002426UQM100UQM110신흥자연취락지구산포면 매성리 354 -93 일원66150<NA><NA>66150<NA><NA><NA>2011-05-04전라남도고시제2011-123호15호46170NTC20190502000146170NTC201905020001sysadmin12021-05-03<NA>
142246170DSZ20190502044646170PPL20190502000146170UBP_K1020200PMA000246170DSZ20110504223746170DSZ201105042237PMC0002427UQM100UQM110제성자연취락지구산포면 매성리 828 일원17840<NA><NA>17840<NA><NA><NA>2011-05-04전라남도고시제2011-123호59호46170NTC20190502000146170NTC201905020001sysadmin12021-05-03<NA>
142346170DSZ20190502044746170PPL20190502000146170UBP_K1020200PMA000246170DSZ20110504223846170DSZ201105042238PMC0002428UQM100UQM110노동자연취락지구산포면 매성리 828 일원3880<NA><NA>3880<NA><NA><NA>2011-05-04전라남도고시제2011-123호22호46170NTC20190502000146170NTC201905020001sysadmin12021-05-03<NA>
142446170DSZ20190502044846170PPL20190502000146170UBP_K1020200PMA000246170DSZ20110504223946170DSZ201105042239PMC0002429UQM100UQM110쌍산자연취락지구산포면 매성리 1133 일원18035<NA><NA>18035<NA><NA><NA>2011-05-04전라남도고시제2011-123호29호46170NTC20190502000146170NTC201905020001sysadmin12021-05-03<NA>
142546170DSZ20190502044946170PPL20190502000146170UBP_K1020200PMA000246170DSZ20110504224046170DSZ201105042240PMC0002430UQM100UQM110산제자연취락지구산포면 산제리 62 일원63200<NA><NA>63200<NA><NA><NA>2011-05-04전라남도고시제2011-123호166호46170NTC20190502000146170NTC201905020001sysadmin12021-05-03<NA>