Overview

Dataset statistics

Number of variables72
Number of observations217
Missing cells4796
Missing cells (%)30.7%
Duplicate rows1
Duplicate rows (%)0.5%
Total size in memory122.2 KiB
Average record size in memory576.6 B

Variable types

Categorical48
Text24

Alerts

Dataset has 1 (0.5%) duplicate rowsDuplicates
시도 is highly imbalanced (77.7%)Imbalance
경관지구 is highly imbalanced (79.9%)Imbalance
Unnamed: 4 is highly imbalanced (79.5%)Imbalance
Unnamed: 5 is highly imbalanced (81.2%)Imbalance
Unnamed: 6 is highly imbalanced (77.1%)Imbalance
Unnamed: 7 is highly imbalanced (75.5%)Imbalance
Unnamed: 8 is highly imbalanced (76.0%)Imbalance
Unnamed: 9 is highly imbalanced (72.4%)Imbalance
Unnamed: 12 is highly imbalanced (79.8%)Imbalance
Unnamed: 13 is highly imbalanced (80.9%)Imbalance
Unnamed: 14 is highly imbalanced (79.7%)Imbalance
Unnamed: 15 is highly imbalanced (79.6%)Imbalance
고도지구 is highly imbalanced (79.7%)Imbalance
Unnamed: 19 is highly imbalanced (79.6%)Imbalance
Unnamed: 20 is highly imbalanced (80.4%)Imbalance
Unnamed: 22 is highly imbalanced (80.4%)Imbalance
방화지구 is highly imbalanced (80.9%)Imbalance
Unnamed: 25 is highly imbalanced (80.9%)Imbalance
Unnamed: 27 is highly imbalanced (89.0%)Imbalance
Unnamed: 28 is highly imbalanced (76.0%)Imbalance
Unnamed: 29 is highly imbalanced (72.4%)Imbalance
Unnamed: 31 is highly imbalanced (89.0%)Imbalance
보존지구 is highly imbalanced (79.1%)Imbalance
Unnamed: 34 is highly imbalanced (79.1%)Imbalance
Unnamed: 36 is highly imbalanced (76.0%)Imbalance
Unnamed: 37 is highly imbalanced (72.4%)Imbalance
Unnamed: 38 is highly imbalanced (77.1%)Imbalance
Unnamed: 39 is highly imbalanced (80.9%)Imbalance
시설보호지구 is highly imbalanced (79.7%)Imbalance
Unnamed: 42 is highly imbalanced (78.5%)Imbalance
Unnamed: 43 is highly imbalanced (78.3%)Imbalance
Unnamed: 44 is highly imbalanced (78.2%)Imbalance
Unnamed: 45 is highly imbalanced (72.4%)Imbalance
Unnamed: 46 is highly imbalanced (77.6%)Imbalance
Unnamed: 47 is highly imbalanced (78.3%)Imbalance
Unnamed: 48 is highly imbalanced (78.2%)Imbalance
Unnamed: 49 is highly imbalanced (72.4%)Imbalance
취락지구 is highly imbalanced (77.6%)Imbalance
Unnamed: 54 is highly imbalanced (78.2%)Imbalance
Unnamed: 55 is highly imbalanced (76.8%)Imbalance
Unnamed: 62 is highly imbalanced (78.9%)Imbalance
Unnamed: 63 is highly imbalanced (78.3%)Imbalance
Unnamed: 66 is highly imbalanced (78.9%)Imbalance
Unnamed: 67 is highly imbalanced (78.3%)Imbalance
Unnamed: 68 is highly imbalanced (78.1%)Imbalance
Unnamed: 69 is highly imbalanced (81.3%)Imbalance
특정용도제한지구 is highly imbalanced (76.8%)Imbalance
Unnamed: 71 is highly imbalanced (76.8%)Imbalance
시군구 has 202 (93.1%) missing valuesMissing
Unnamed: 3 has 199 (91.7%) missing valuesMissing
미관지구 has 198 (91.2%) missing valuesMissing
Unnamed: 11 has 199 (91.7%) missing valuesMissing
Unnamed: 16 has 198 (91.2%) missing valuesMissing
Unnamed: 17 has 199 (91.7%) missing valuesMissing
Unnamed: 21 has 199 (91.7%) missing valuesMissing
Unnamed: 23 has 199 (91.7%) missing valuesMissing
방재지구 has 211 (97.2%) missing valuesMissing
Unnamed: 30 has 211 (97.2%) missing valuesMissing
Unnamed: 33 has 199 (91.7%) missing valuesMissing
Unnamed: 35 has 199 (91.7%) missing valuesMissing
Unnamed: 41 has 199 (91.7%) missing valuesMissing
Unnamed: 51 has 199 (91.7%) missing valuesMissing
Unnamed: 52 has 198 (91.2%) missing valuesMissing
Unnamed: 53 has 199 (91.7%) missing valuesMissing
개발진흥지구 has 198 (91.2%) missing valuesMissing
Unnamed: 57 has 199 (91.7%) missing valuesMissing
Unnamed: 58 has 198 (91.2%) missing valuesMissing
Unnamed: 59 has 199 (91.7%) missing valuesMissing
Unnamed: 60 has 198 (91.2%) missing valuesMissing
Unnamed: 61 has 199 (91.7%) missing valuesMissing
Unnamed: 64 has 198 (91.2%) missing valuesMissing
Unnamed: 65 has 199 (91.7%) missing valuesMissing

Reproduction

Analysis started2024-03-14 02:45:27.827015
Analysis finished2024-03-14 02:45:28.807408
Duration0.98 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
200 
전라북도
 
15
전라북도 소계
 
1
조회 : 15건 총계
 
1

Length

Max length20
Median length4
Mean length4.0967742
Min length4

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 200
92.2%
전라북도 15
 
6.9%
전라북도 소계 1
 
0.5%
조회 : 15건 총계 1
 
0.5%

Length

2024-03-14T11:45:28.874189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:28.967763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 200
90.5%
전라북도 16
 
7.2%
소계 1
 
0.5%
조회 1
 
0.5%
1
 
0.5%
15건 1
 
0.5%
총계 1
 
0.5%

시군구
Text

MISSING 

Distinct15
Distinct (%)100.0%
Missing202
Missing (%)93.1%
Memory size1.8 KiB
2024-03-14T11:45:29.105515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0666667
Min length3

Characters and Unicode

Total characters46
Distinct characters27
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)100.0%

Sample

1st row전라북도
2nd row전주시
3rd row군산시
4th row익산시
5th row정읍시
ValueCountFrequency (%)
전라북도 1
 
6.7%
전주시 1
 
6.7%
군산시 1
 
6.7%
익산시 1
 
6.7%
정읍시 1
 
6.7%
남원시 1
 
6.7%
김제시 1
 
6.7%
완주군 1
 
6.7%
진안군 1
 
6.7%
무주군 1
 
6.7%
Other values (5) 5
33.3%
2024-03-14T11:45:29.424792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 9
19.6%
시 6
 
13.0%
주 3
 
6.5%
전 2
 
4.3%
창 2
 
4.3%
산 2
 
4.3%
안 2
 
4.3%
진 1
 
2.2%
고 1
 
2.2%
순 1
 
2.2%
Other values (17) 17
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 9
19.6%
시 6
 
13.0%
주 3
 
6.5%
전 2
 
4.3%
창 2
 
4.3%
산 2
 
4.3%
안 2
 
4.3%
진 1
 
2.2%
고 1
 
2.2%
순 1
 
2.2%
Other values (17) 17
37.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 9
19.6%
시 6
 
13.0%
주 3
 
6.5%
전 2
 
4.3%
창 2
 
4.3%
산 2
 
4.3%
안 2
 
4.3%
진 1
 
2.2%
고 1
 
2.2%
순 1
 
2.2%
Other values (17) 17
37.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 9
19.6%
시 6
 
13.0%
주 3
 
6.5%
전 2
 
4.3%
창 2
 
4.3%
산 2
 
4.3%
안 2
 
4.3%
진 1
 
2.2%
고 1
 
2.2%
순 1
 
2.2%
Other values (17) 17
37.0%

경관지구
Categorical

IMBALANCE 

Distinct9
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
9
1
 
3
30
 
2
경관지구 소계
 
1
Other values (4)
 
4

Length

Max length7
Median length4
Mean length3.7834101
Min length1

Unique

Unique5 ?
Unique (%)2.3%

Sample

1st row경관지구 소계
2nd row개소
3rd row0
4th row8
5th row16

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 9
 
4.1%
1 3
 
1.4%
30 2
 
0.9%
경관지구 소계 1
 
0.5%
개소 1
 
0.5%
8 1
 
0.5%
16 1
 
0.5%
3 1
 
0.5%

Length

2024-03-14T11:45:29.550252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:29.646059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
90.8%
0 9
 
4.1%
1 3
 
1.4%
30 2
 
0.9%
경관지구 1
 
0.5%
소계 1
 
0.5%
개소 1
 
0.5%
8 1
 
0.5%
16 1
 
0.5%
3 1
 
0.5%

Unnamed: 3
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:29.759670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8.5
Mean length4.0555556
Min length1

Characters and Unicode

Total characters73
Distinct characters13
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

Unique7 ?
Unique (%)38.9%

Sample

1st row면적
2nd row0
3rd row512,447
4th row637,083
5th row12,680,211
ValueCountFrequency (%)
0 9
50.0%
13,908,241 2
 
11.1%
면적 1
 
5.6%
512,447 1
 
5.6%
637,083 1
 
5.6%
12,680,211 1
 
5.6%
20,000 1
 
5.6%
28,500 1
 
5.6%
30,000 1
 
5.6%
2024-03-14T11:45:30.121185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 23
31.5%
, 11
15.1%
1 8
 
11.0%
2 7
 
9.6%
3 5
 
6.8%
8 5
 
6.8%
4 4
 
5.5%
9 2
 
2.7%
5 2
 
2.7%
7 2
 
2.7%
Other values (3) 4
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 60
82.2%
Other Punctuation 11
 
15.1%
Other Letter 2
 
2.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 23
38.3%
1 8
 
13.3%
2 7
 
11.7%
3 5
 
8.3%
8 5
 
8.3%
4 4
 
6.7%
9 2
 
3.3%
5 2
 
3.3%
7 2
 
3.3%
6 2
 
3.3%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 71
97.3%
Hangul 2
 
2.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 23
32.4%
, 11
15.5%
1 8
 
11.3%
2 7
 
9.9%
3 5
 
7.0%
8 5
 
7.0%
4 4
 
5.6%
9 2
 
2.8%
5 2
 
2.8%
7 2
 
2.8%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 71
97.3%
Hangul 2
 
2.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 23
32.4%
, 11
15.5%
1 8
 
11.3%
2 7
 
9.9%
3 5
 
7.0%
8 5
 
7.0%
4 4
 
5.6%
9 2
 
2.8%
5 2
 
2.8%
7 2
 
2.8%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 4
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
10
1
 
3
27
 
2
자연경관지구
 
1
Other values (3)
 
3

Length

Max length6
Median length4
Mean length3.7788018
Min length1

Unique

Unique4 ?
Unique (%)1.8%

Sample

1st row자연경관지구
2nd row개소
3rd row0
4th row8
5th row16

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 10
 
4.6%
1 3
 
1.4%
27 2
 
0.9%
자연경관지구 1
 
0.5%
개소 1
 
0.5%
8 1
 
0.5%
16 1
 
0.5%

Length

2024-03-14T11:45:30.224448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:30.316337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 10
 
4.6%
1 3
 
1.4%
27 2
 
0.9%
자연경관지구 1
 
0.5%
개소 1
 
0.5%
8 1
 
0.5%
16 1
 
0.5%

Unnamed: 5
Categorical

IMBALANCE 

Distinct9
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
10
1,228,030
 
2
면적
 
1
512,447
 
1
Other values (4)
 
4

Length

Max length9
Median length4
Mean length3.9539171
Min length1

Unique

Unique6 ?
Unique (%)2.8%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row512,447
5th row637,083

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 10
 
4.6%
1,228,030 2
 
0.9%
면적 1
 
0.5%
512,447 1
 
0.5%
637,083 1
 
0.5%
20,000 1
 
0.5%
28,500 1
 
0.5%
30,000 1
 
0.5%

Length

2024-03-14T11:45:30.420352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:30.519669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 10
 
4.6%
1,228,030 2
 
0.9%
면적 1
 
0.5%
512,447 1
 
0.5%
637,083 1
 
0.5%
20,000 1
 
0.5%
28,500 1
 
0.5%
30,000 1
 
0.5%

Unnamed: 6
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
14
3
 
3
수변경관지구
 
1
개소
 
1

Length

Max length6
Median length4
Mean length3.764977
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row수변경관지구
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 14
 
6.5%
3 3
 
1.4%
수변경관지구 1
 
0.5%
개소 1
 
0.5%

Length

2024-03-14T11:45:30.633316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:30.727580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 14
 
6.5%
3 3
 
1.4%
수변경관지구 1
 
0.5%
개소 1
 
0.5%

Unnamed: 7
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
14
12,680,211
 
3
면적
 
1

Length

Max length10
Median length4
Mean length3.8801843
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 14
 
6.5%
12,680,211 3
 
1.4%
면적 1
 
0.5%

Length

2024-03-14T11:45:30.852049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:30.986009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 14
 
6.5%
12,680,211 3
 
1.4%
면적 1
 
0.5%

Unnamed: 8
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
17
시가지경관지구
 
1
개소
 
1

Length

Max length7
Median length4
Mean length3.7695853
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row시가지경관지구
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 17
 
7.8%
시가지경관지구 1
 
0.5%
개소 1
 
0.5%

Length

2024-03-14T11:45:31.097420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:31.184443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 17
 
7.8%
시가지경관지구 1
 
0.5%
개소 1
 
0.5%

Unnamed: 9
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
17
면적
 
1

Length

Max length4
Median length4
Mean length3.7557604
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 17
 
7.8%
면적 1
 
0.5%

Length

2024-03-14T11:45:31.279128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:31.365612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 17
 
7.8%
면적 1
 
0.5%

미관지구
Text

MISSING 

Distinct10
Distinct (%)52.6%
Missing198
Missing (%)91.2%
Memory size1.8 KiB
2024-03-14T11:45:31.433588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length1
Mean length1.8421053
Min length1

Characters and Unicode

Total characters35
Distinct characters16
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

Unique8 ?
Unique (%)42.1%

Sample

1st row미관지구 소계
2nd row개소
3rd row0
4th row84
5th row22
ValueCountFrequency (%)
0 9
45.0%
174 2
 
10.0%
미관지구 1
 
5.0%
소계 1
 
5.0%
개소 1
 
5.0%
84 1
 
5.0%
22 1
 
5.0%
29 1
 
5.0%
16 1
 
5.0%
17 1
 
5.0%
2024-03-14T11:45:31.648031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9
25.7%
1 4
11.4%
7 3
 
8.6%
4 3
 
8.6%
2 3
 
8.6%
소 2
 
5.7%
6 2
 
5.7%
미 1
 
2.9%
관 1
 
2.9%
지 1
 
2.9%
Other values (6) 6
17.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26
74.3%
Other Letter 8
 
22.9%
Space Separator 1
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
34.6%
1 4
15.4%
7 3
 
11.5%
4 3
 
11.5%
2 3
 
11.5%
6 2
 
7.7%
8 1
 
3.8%
9 1
 
3.8%
Other Letter
ValueCountFrequency (%)
소 2
25.0%
미 1
12.5%
관 1
12.5%
지 1
12.5%
구 1
12.5%
계 1
12.5%
개 1
12.5%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27
77.1%
Hangul 8
 
22.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9
33.3%
1 4
14.8%
7 3
 
11.1%
4 3
 
11.1%
2 3
 
11.1%
6 2
 
7.4%
1
 
3.7%
8 1
 
3.7%
9 1
 
3.7%
Hangul
ValueCountFrequency (%)
소 2
25.0%
미 1
12.5%
관 1
12.5%
지 1
12.5%
구 1
12.5%
계 1
12.5%
개 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27
77.1%
Hangul 8
 
22.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9
33.3%
1 4
14.8%
7 3
 
11.1%
4 3
 
11.1%
2 3
 
11.1%
6 2
 
7.4%
1
 
3.7%
8 1
 
3.7%
9 1
 
3.7%
Hangul
ValueCountFrequency (%)
소 2
25.0%
미 1
12.5%
관 1
12.5%
지 1
12.5%
구 1
12.5%
계 1
12.5%
개 1
12.5%

Unnamed: 11
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:31.761569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.2777778
Min length1

Characters and Unicode

Total characters77
Distinct characters13
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

Unique7 ?
Unique (%)38.9%

Sample

1st row면적
2nd row0
3rd row3,385,172
4th row3,121,488
5th row2,477,967
ValueCountFrequency (%)
0 9
50.0%
9,842,968 2
 
11.1%
면적 1
 
5.6%
3,385,172 1
 
5.6%
3,121,488 1
 
5.6%
2,477,967 1
 
5.6%
359,396 1
 
5.6%
237,354 1
 
5.6%
261,591 1
 
5.6%
2024-03-14T11:45:31.994664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 13
16.9%
0 9
11.7%
9 8
10.4%
8 7
9.1%
2 7
9.1%
3 7
9.1%
4 5
 
6.5%
6 5
 
6.5%
1 5
 
6.5%
7 5
 
6.5%
Other values (3) 6
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62
80.5%
Other Punctuation 13
 
16.9%
Other Letter 2
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
14.5%
9 8
12.9%
8 7
11.3%
2 7
11.3%
3 7
11.3%
4 5
8.1%
6 5
8.1%
1 5
8.1%
7 5
8.1%
5 4
6.5%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75
97.4%
Hangul 2
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
, 13
17.3%
0 9
12.0%
9 8
10.7%
8 7
9.3%
2 7
9.3%
3 7
9.3%
4 5
 
6.7%
6 5
 
6.7%
1 5
 
6.7%
7 5
 
6.7%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75
97.4%
Hangul 2
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 13
17.3%
0 9
12.0%
9 8
10.7%
8 7
9.3%
2 7
9.3%
3 7
9.3%
4 5
 
6.7%
6 5
 
6.7%
1 5
 
6.7%
7 5
 
6.7%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 12
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
11
10
 
2
31
 
2
중심지미관지구
 
1
Other values (3)
 
3

Length

Max length7
Median length4
Mean length3.7880184
Min length1

Unique

Unique4 ?
Unique (%)1.8%

Sample

1st row중심지미관지구
2nd row개소
3rd row0
4th row10
5th row3

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 11
 
5.1%
10 2
 
0.9%
31 2
 
0.9%
중심지미관지구 1
 
0.5%
개소 1
 
0.5%
3 1
 
0.5%
8 1
 
0.5%

Length

2024-03-14T11:45:32.106550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:32.198055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 11
 
5.1%
10 2
 
0.9%
31 2
 
0.9%
중심지미관지구 1
 
0.5%
개소 1
 
0.5%
3 1
 
0.5%
8 1
 
0.5%

Unnamed: 13
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
11
569,214
 
2
면적
 
1
287,018
 
1
Other values (3)
 
3

Length

Max length7
Median length4
Mean length3.9124424
Min length1

Unique

Unique5 ?
Unique (%)2.3%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row287,018
5th row35,143

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 11
 
5.1%
569,214 2
 
0.9%
면적 1
 
0.5%
287,018 1
 
0.5%
35,143 1
 
0.5%
172,065 1
 
0.5%
74,988 1
 
0.5%

Length

2024-03-14T11:45:32.303248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:32.394008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 11
 
5.1%
569,214 2
 
0.9%
면적 1
 
0.5%
287,018 1
 
0.5%
35,143 1
 
0.5%
172,065 1
 
0.5%
74,988 1
 
0.5%

Unnamed: 14
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
13
5
 
2
역사문화미관지구
 
1
개소
 
1
Other values (2)
 
2

Length

Max length8
Median length4
Mean length3.7741935
Min length1

Unique

Unique4 ?
Unique (%)1.8%

Sample

1st row역사문화미관지구
2nd row개소
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 13
 
6.0%
5 2
 
0.9%
역사문화미관지구 1
 
0.5%
개소 1
 
0.5%
1 1
 
0.5%
4 1
 
0.5%

Length

2024-03-14T11:45:32.495328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:32.601538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 13
 
6.0%
5 2
 
0.9%
역사문화미관지구 1
 
0.5%
개소 1
 
0.5%
1 1
 
0.5%
4 1
 
0.5%

Unnamed: 15
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
13
1,281,955
 
2
면적
 
1
11,000
 
1

Length

Max length9
Median length4
Mean length3.8894009
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row11,000
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 13
 
6.0%
1,281,955 2
 
0.9%
면적 1
 
0.5%
11,000 1
 
0.5%
1,270,955 1
 
0.5%

Length

2024-03-14T11:45:32.702862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:32.796104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 13
 
6.0%
1,281,955 2
 
0.9%
면적 1
 
0.5%
11,000 1
 
0.5%
1,270,955 1
 
0.5%

Unnamed: 16
Text

MISSING 

Distinct10
Distinct (%)52.6%
Missing198
Missing (%)91.2%
Memory size1.8 KiB
2024-03-14T11:45:32.876658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length1.7368421
Min length1

Characters and Unicode

Total characters33
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)42.1%

Sample

1st row일반미관지구
2nd row개소
3rd row0
4th row73
5th row19
ValueCountFrequency (%)
0 9
47.4%
138 2
 
10.5%
일반미관지구 1
 
5.3%
개소 1
 
5.3%
73 1
 
5.3%
19 1
 
5.3%
15 1
 
5.3%
16 1
 
5.3%
9 1
 
5.3%
6 1
 
5.3%
2024-03-14T11:45:33.134549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9
27.3%
1 5
15.2%
3 3
 
9.1%
8 2
 
6.1%
9 2
 
6.1%
6 2
 
6.1%
일 1
 
3.0%
반 1
 
3.0%
미 1
 
3.0%
관 1
 
3.0%
Other values (6) 6
18.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25
75.8%
Other Letter 8
 
24.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9
36.0%
1 5
20.0%
3 3
 
12.0%
8 2
 
8.0%
9 2
 
8.0%
6 2
 
8.0%
7 1
 
4.0%
5 1
 
4.0%
Other Letter
ValueCountFrequency (%)
일 1
12.5%
반 1
12.5%
미 1
12.5%
관 1
12.5%
지 1
12.5%
구 1
12.5%
개 1
12.5%
소 1
12.5%

Most occurring scripts

ValueCountFrequency (%)
Common 25
75.8%
Hangul 8
 
24.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9
36.0%
1 5
20.0%
3 3
 
12.0%
8 2
 
8.0%
9 2
 
8.0%
6 2
 
8.0%
7 1
 
4.0%
5 1
 
4.0%
Hangul
ValueCountFrequency (%)
일 1
12.5%
반 1
12.5%
미 1
12.5%
관 1
12.5%
지 1
12.5%
구 1
12.5%
개 1
12.5%
소 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 25
75.8%
Hangul 8
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9
36.0%
1 5
20.0%
3 3
 
12.0%
8 2
 
8.0%
9 2
 
8.0%
6 2
 
8.0%
7 1
 
4.0%
5 1
 
4.0%
Hangul
ValueCountFrequency (%)
일 1
12.5%
반 1
12.5%
미 1
12.5%
관 1
12.5%
지 1
12.5%
구 1
12.5%
개 1
12.5%
소 1
12.5%

Unnamed: 17
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:33.285538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.2777778
Min length1

Characters and Unicode

Total characters77
Distinct characters13
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

Unique7 ?
Unique (%)38.9%

Sample

1st row면적
2nd row0
3rd row3,087,154
4th row3,086,345
5th row1,034,947
ValueCountFrequency (%)
0 9
50.0%
7,991,799 2
 
11.1%
면적 1
 
5.6%
3,087,154 1
 
5.6%
3,086,345 1
 
5.6%
1,034,947 1
 
5.6%
359,396 1
 
5.6%
162,366 1
 
5.6%
261,591 1
 
5.6%
2024-03-14T11:45:33.524292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 13
16.9%
0 12
15.6%
9 12
15.6%
1 7
9.1%
3 7
9.1%
7 6
7.8%
6 6
7.8%
5 4
 
5.2%
4 4
 
5.2%
8 2
 
2.6%
Other values (3) 4
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62
80.5%
Other Punctuation 13
 
16.9%
Other Letter 2
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 12
19.4%
9 12
19.4%
1 7
11.3%
3 7
11.3%
7 6
9.7%
6 6
9.7%
5 4
 
6.5%
4 4
 
6.5%
8 2
 
3.2%
2 2
 
3.2%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 75
97.4%
Hangul 2
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
, 13
17.3%
0 12
16.0%
9 12
16.0%
1 7
9.3%
3 7
9.3%
7 6
8.0%
6 6
8.0%
5 4
 
5.3%
4 4
 
5.3%
8 2
 
2.7%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 75
97.4%
Hangul 2
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 13
17.3%
0 12
16.0%
9 12
16.0%
1 7
9.3%
3 7
9.3%
7 6
8.0%
6 6
8.0%
5 4
 
5.3%
4 4
 
5.3%
8 2
 
2.7%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

고도지구
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
13
87
 
2
고도지구 소계
 
1
개소
 
1
Other values (2)
 
2

Length

Max length7
Median length4
Mean length3.7788018
Min length1

Unique

Unique4 ?
Unique (%)1.8%

Sample

1st row고도지구 소계
2nd row개소
3rd row0
4th row3
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 13
 
6.0%
87 2
 
0.9%
고도지구 소계 1
 
0.5%
개소 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%

Length

2024-03-14T11:45:33.634889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:33.789394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
90.8%
0 13
 
6.0%
87 2
 
0.9%
고도지구 1
 
0.5%
소계 1
 
0.5%
개소 1
 
0.5%
3 1
 
0.5%
4 1
 
0.5%

Unnamed: 19
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
13
14,768,125
 
2
면적
 
1
255,700
 
1

Length

Max length10
Median length4
Mean length3.8894009
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row255,700
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 13
 
6.0%
14,768,125 2
 
0.9%
면적 1
 
0.5%
255,700 1
 
0.5%
48,924 1
 
0.5%

Length

2024-03-14T11:45:33.883973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:33.964942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 13
 
6.0%
14,768,125 2
 
0.9%
면적 1
 
0.5%
255,700 1
 
0.5%
48,924 1
 
0.5%

Unnamed: 20
Categorical

IMBALANCE 

Distinct10
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
9
1
 
2
7
 
2
최저고도지구
 
1
Other values (5)
 
5

Length

Max length6
Median length4
Mean length3.7741935
Min length1

Unique

Unique6 ?
Unique (%)2.8%

Sample

1st row최저고도지구
2nd row개소
3rd row0
4th row20
5th row8

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 9
 
4.1%
1 2
 
0.9%
7 2
 
0.9%
최저고도지구 1
 
0.5%
개소 1
 
0.5%
20 1
 
0.5%
8 1
 
0.5%
6 1
 
0.5%
44 1
 
0.5%

Length

2024-03-14T11:45:34.072101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:34.179803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 9
 
4.1%
1 2
 
0.9%
7 2
 
0.9%
최저고도지구 1
 
0.5%
개소 1
 
0.5%
20 1
 
0.5%
8 1
 
0.5%
6 1
 
0.5%
44 1
 
0.5%

Unnamed: 21
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:34.283040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4
Min length1

Characters and Unicode

Total characters72
Distinct characters13
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

Unique7 ?
Unique (%)38.9%

Sample

1st row면적
2nd row0
3rd row7,960,961
4th row1,259,532
5th row935,823
ValueCountFrequency (%)
0 9
50.0%
304,624 2
 
11.1%
면적 1
 
5.6%
7,960,961 1
 
5.6%
1,259,532 1
 
5.6%
935,823 1
 
5.6%
4,189,207 1
 
5.6%
16,870 1
 
5.6%
101,108 1
 
5.6%
2024-03-14T11:45:34.497591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
22.2%
, 11
15.3%
1 7
9.7%
2 6
 
8.3%
3 5
 
6.9%
4 5
 
6.9%
6 5
 
6.9%
9 5
 
6.9%
8 4
 
5.6%
7 3
 
4.2%
Other values (3) 5
 
6.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 59
81.9%
Other Punctuation 11
 
15.3%
Other Letter 2
 
2.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
27.1%
1 7
11.9%
2 6
 
10.2%
3 5
 
8.5%
4 5
 
8.5%
6 5
 
8.5%
9 5
 
8.5%
8 4
 
6.8%
7 3
 
5.1%
5 3
 
5.1%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 70
97.2%
Hangul 2
 
2.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
22.9%
, 11
15.7%
1 7
10.0%
2 6
 
8.6%
3 5
 
7.1%
4 5
 
7.1%
6 5
 
7.1%
9 5
 
7.1%
8 4
 
5.7%
7 3
 
4.3%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 70
97.2%
Hangul 2
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
22.9%
, 11
15.7%
1 7
10.0%
2 6
 
8.6%
3 5
 
7.1%
4 5
 
7.1%
6 5
 
7.1%
9 5
 
7.1%
8 4
 
5.7%
7 3
 
4.3%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 22
Categorical

IMBALANCE 

Distinct10
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
9
1
 
2
80
 
2
최고고도지구
 
1
Other values (5)
 
5

Length

Max length6
Median length4
Mean length3.7880184
Min length1

Unique

Unique6 ?
Unique (%)2.8%

Sample

1st row최고고도지구
2nd row개소
3rd row0
4th row23
5th row8

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 9
 
4.1%
1 2
 
0.9%
80 2
 
0.9%
최고고도지구 1
 
0.5%
개소 1
 
0.5%
23 1
 
0.5%
8 1
 
0.5%
10 1
 
0.5%
44 1
 
0.5%

Length

2024-03-14T11:45:34.600312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:34.693390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 9
 
4.1%
1 2
 
0.9%
80 2
 
0.9%
최고고도지구 1
 
0.5%
개소 1
 
0.5%
23 1
 
0.5%
8 1
 
0.5%
10 1
 
0.5%
44 1
 
0.5%

Unnamed: 23
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:34.797481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9.5
Mean length4.3333333
Min length1

Characters and Unicode

Total characters78
Distinct characters13
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

Unique7 ?
Unique (%)38.9%

Sample

1st row면적
2nd row0
3rd row8,216,661
4th row1,259,532
5th row984,747
ValueCountFrequency (%)
0 9
50.0%
14,463,501 2
 
11.1%
면적 1
 
5.6%
8,216,661 1
 
5.6%
1,259,532 1
 
5.6%
984,747 1
 
5.6%
4,189,207 1
 
5.6%
16,870 1
 
5.6%
101,108 1
 
5.6%
2024-03-14T11:45:34.991116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 15
19.2%
, 13
16.7%
1 12
15.4%
4 7
9.0%
6 6
 
7.7%
8 5
 
6.4%
5 4
 
5.1%
2 4
 
5.1%
7 4
 
5.1%
3 3
 
3.8%
Other values (3) 5
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
80.8%
Other Punctuation 13
 
16.7%
Other Letter 2
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
23.8%
1 12
19.0%
4 7
11.1%
6 6
 
9.5%
8 5
 
7.9%
5 4
 
6.3%
2 4
 
6.3%
7 4
 
6.3%
3 3
 
4.8%
9 3
 
4.8%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 76
97.4%
Hangul 2
 
2.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 15
19.7%
, 13
17.1%
1 12
15.8%
4 7
9.2%
6 6
 
7.9%
8 5
 
6.6%
5 4
 
5.3%
2 4
 
5.3%
7 4
 
5.3%
3 3
 
3.9%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 76
97.4%
Hangul 2
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 15
19.7%
, 13
17.1%
1 12
15.8%
4 7
9.2%
6 6
 
7.9%
8 5
 
6.6%
5 4
 
5.3%
2 4
 
5.3%
7 4
 
5.3%
3 3
 
3.9%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

방화지구
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
11
35
 
2
개소
 
1
21
 
1
Other values (3)
 
3

Length

Max length4
Median length4
Mean length3.7695853
Min length1

Unique

Unique5 ?
Unique (%)2.3%

Sample

1st row<NA>
2nd row개소
3rd row0
4th row21
5th row3

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 11
 
5.1%
35 2
 
0.9%
개소 1
 
0.5%
21 1
 
0.5%
3 1
 
0.5%
9 1
 
0.5%
2 1
 
0.5%

Length

2024-03-14T11:45:35.093251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:35.187492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 11
 
5.1%
35 2
 
0.9%
개소 1
 
0.5%
21 1
 
0.5%
3 1
 
0.5%
9 1
 
0.5%
2 1
 
0.5%

Unnamed: 25
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
11
8,098,534
 
2
면적
 
1
4,075,560
 
1
Other values (3)
 
3

Length

Max length9
Median length4
Mean length3.9677419
Min length1

Unique

Unique5 ?
Unique (%)2.3%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row4,075,560
5th row2,513,248

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 11
 
5.1%
8,098,534 2
 
0.9%
면적 1
 
0.5%
4,075,560 1
 
0.5%
2,513,248 1
 
0.5%
1,180,126 1
 
0.5%
329,600 1
 
0.5%

Length

2024-03-14T11:45:35.374956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:35.515945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 11
 
5.1%
8,098,534 2
 
0.9%
면적 1
 
0.5%
4,075,560 1
 
0.5%
2,513,248 1
 
0.5%
1,180,126 1
 
0.5%
329,600 1
 
0.5%

방재지구
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing211
Missing (%)97.2%
Memory size1.8 KiB
2024-03-14T11:45:35.608435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length2
Min length1

Characters and Unicode

Total characters12
Distinct characters8
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)33.3%

Sample

1st row방재지구소계
2nd row개소
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 4
66.7%
방재지구소계 1
 
16.7%
개소 1
 
16.7%
2024-03-14T11:45:35.806843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
33.3%
소 2
16.7%
방 1
 
8.3%
재 1
 
8.3%
지 1
 
8.3%
구 1
 
8.3%
계 1
 
8.3%
개 1
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
66.7%
Decimal Number 4
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 2
25.0%
방 1
12.5%
재 1
12.5%
지 1
12.5%
구 1
12.5%
계 1
12.5%
개 1
12.5%
Decimal Number
ValueCountFrequency (%)
0 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
66.7%
Common 4
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 2
25.0%
방 1
12.5%
재 1
12.5%
지 1
12.5%
구 1
12.5%
계 1
12.5%
개 1
12.5%
Common
ValueCountFrequency (%)
0 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
66.7%
ASCII 4
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
100.0%
Hangul
ValueCountFrequency (%)
소 2
25.0%
방 1
12.5%
재 1
12.5%
지 1
12.5%
구 1
12.5%
계 1
12.5%
개 1
12.5%

Unnamed: 27
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
212 
0
 
4
면적
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 212
97.7%
0 4
 
1.8%
면적 1
 
0.5%

Length

2024-03-14T11:45:35.944359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:36.048779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 212
97.7%
0 4
 
1.8%
면적 1
 
0.5%

Unnamed: 28
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
17
시가지방재지구
 
1
개소
 
1

Length

Max length7
Median length4
Mean length3.7695853
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row시가지방재지구
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 17
 
7.8%
시가지방재지구 1
 
0.5%
개소 1
 
0.5%

Length

2024-03-14T11:45:36.134974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:36.223482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 17
 
7.8%
시가지방재지구 1
 
0.5%
개소 1
 
0.5%

Unnamed: 29
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
17
면적
 
1

Length

Max length4
Median length4
Mean length3.7557604
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 17
 
7.8%
면적 1
 
0.5%

Length

2024-03-14T11:45:36.329862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:36.414534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 17
 
7.8%
면적 1
 
0.5%

Unnamed: 30
Text

MISSING 

Distinct3
Distinct (%)50.0%
Missing211
Missing (%)97.2%
Memory size1.8 KiB
2024-03-14T11:45:36.493920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length1
Mean length2
Min length1

Characters and Unicode

Total characters12
Distinct characters9
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)33.3%

Sample

1st row자연방재지구
2nd row개소
3rd row0
4th row0
5th row0
ValueCountFrequency (%)
0 4
66.7%
자연방재지구 1
 
16.7%
개소 1
 
16.7%
2024-03-14T11:45:36.674589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4
33.3%
자 1
 
8.3%
연 1
 
8.3%
방 1
 
8.3%
재 1
 
8.3%
지 1
 
8.3%
구 1
 
8.3%
개 1
 
8.3%
소 1
 
8.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
66.7%
Decimal Number 4
33.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
자 1
12.5%
연 1
12.5%
방 1
12.5%
재 1
12.5%
지 1
12.5%
구 1
12.5%
개 1
12.5%
소 1
12.5%
Decimal Number
ValueCountFrequency (%)
0 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
66.7%
Common 4
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
자 1
12.5%
연 1
12.5%
방 1
12.5%
재 1
12.5%
지 1
12.5%
구 1
12.5%
개 1
12.5%
소 1
12.5%
Common
ValueCountFrequency (%)
0 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
66.7%
ASCII 4
33.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4
100.0%
Hangul
ValueCountFrequency (%)
자 1
12.5%
연 1
12.5%
방 1
12.5%
재 1
12.5%
지 1
12.5%
구 1
12.5%
개 1
12.5%
소 1
12.5%

Unnamed: 31
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
212 
0
 
4
면적
 
1

Length

Max length4
Median length4
Mean length3.9354839
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 212
97.7%
0 4
 
1.8%
면적 1
 
0.5%

Length

2024-03-14T11:45:36.778422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:36.861220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 212
97.7%
0 4
 
1.8%
면적 1
 
0.5%

보존지구
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
9
2
 
3
1
 
2
11
 
2
Other values (3)
 
3

Length

Max length7
Median length4
Mean length3.7788018
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row보존지구 소계
2nd row개소
3rd row0
4th row2
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 9
 
4.1%
2 3
 
1.4%
1 2
 
0.9%
11 2
 
0.9%
보존지구 소계 1
 
0.5%
개소 1
 
0.5%
3 1
 
0.5%

Length

2024-03-14T11:45:36.946992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:37.055641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
90.8%
0 9
 
4.1%
2 3
 
1.4%
1 2
 
0.9%
11 2
 
0.9%
보존지구 1
 
0.5%
소계 1
 
0.5%
개소 1
 
0.5%
3 1
 
0.5%

Unnamed: 33
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:37.171278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length3.7777778
Min length1

Characters and Unicode

Total characters68
Distinct characters13
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

Unique7 ?
Unique (%)38.9%

Sample

1st row면적
2nd row0
3rd row6,179
4th row0
5th row202,211
ValueCountFrequency (%)
0 9
50.0%
2,432,308 2
 
11.1%
면적 1
 
5.6%
6,179 1
 
5.6%
202,211 1
 
5.6%
101,710 1
 
5.6%
15,341 1
 
5.6%
5,190 1
 
5.6%
2,101,677 1
 
5.6%
2024-03-14T11:45:37.798841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
23.5%
, 11
16.2%
1 11
16.2%
2 8
11.8%
3 5
 
7.4%
7 4
 
5.9%
4 3
 
4.4%
8 2
 
2.9%
6 2
 
2.9%
9 2
 
2.9%
Other values (3) 4
 
5.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 55
80.9%
Other Punctuation 11
 
16.2%
Other Letter 2
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
29.1%
1 11
20.0%
2 8
14.5%
3 5
 
9.1%
7 4
 
7.3%
4 3
 
5.5%
8 2
 
3.6%
6 2
 
3.6%
9 2
 
3.6%
5 2
 
3.6%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 66
97.1%
Hangul 2
 
2.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
24.2%
, 11
16.7%
1 11
16.7%
2 8
12.1%
3 5
 
7.6%
7 4
 
6.1%
4 3
 
4.5%
8 2
 
3.0%
6 2
 
3.0%
9 2
 
3.0%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 66
97.1%
Hangul 2
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
24.2%
, 11
16.7%
1 11
16.7%
2 8
12.1%
3 5
 
7.6%
7 4
 
6.1%
4 3
 
4.5%
8 2
 
3.0%
6 2
 
3.0%
9 2
 
3.0%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 34
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
9
1
 
3
2
 
2
10
 
2
Other values (3)
 
3

Length

Max length8
Median length4
Mean length3.7834101
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row문화자원보존지구
2nd row개소
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 9
 
4.1%
1 3
 
1.4%
2 2
 
0.9%
10 2
 
0.9%
문화자원보존지구 1
 
0.5%
개소 1
 
0.5%
3 1
 
0.5%

Length

2024-03-14T11:45:37.911052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:38.039304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 9
 
4.1%
1 3
 
1.4%
2 2
 
0.9%
10 2
 
0.9%
문화자원보존지구 1
 
0.5%
개소 1
 
0.5%
3 1
 
0.5%

Unnamed: 35
Text

MISSING 

Distinct9
Distinct (%)50.0%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:38.138453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6.5
Mean length3.4444444
Min length1

Characters and Unicode

Total characters62
Distinct characters13
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

Unique7 ?
Unique (%)38.9%

Sample

1st row면적
2nd row0
3rd row5,472
4th row0
5th row202,211
ValueCountFrequency (%)
0 9
50.0%
634,824 2
 
11.1%
면적 1
 
5.6%
5,472 1
 
5.6%
202,211 1
 
5.6%
101,710 1
 
5.6%
15,341 1
 
5.6%
5,190 1
 
5.6%
304,900 1
 
5.6%
2024-03-14T11:45:38.356391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 16
25.8%
, 8
12.9%
1 8
12.9%
4 7
11.3%
2 6
 
9.7%
3 4
 
6.5%
5 3
 
4.8%
6 2
 
3.2%
8 2
 
3.2%
7 2
 
3.2%
Other values (3) 4
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 52
83.9%
Other Punctuation 8
 
12.9%
Other Letter 2
 
3.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 16
30.8%
1 8
15.4%
4 7
13.5%
2 6
 
11.5%
3 4
 
7.7%
5 3
 
5.8%
6 2
 
3.8%
8 2
 
3.8%
7 2
 
3.8%
9 2
 
3.8%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 60
96.8%
Hangul 2
 
3.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 16
26.7%
, 8
13.3%
1 8
13.3%
4 7
11.7%
2 6
 
10.0%
3 4
 
6.7%
5 3
 
5.0%
6 2
 
3.3%
8 2
 
3.3%
7 2
 
3.3%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 60
96.8%
Hangul 2
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 16
26.7%
, 8
13.3%
1 8
13.3%
4 7
11.7%
2 6
 
10.0%
3 4
 
6.7%
5 3
 
5.0%
6 2
 
3.3%
8 2
 
3.3%
7 2
 
3.3%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 36
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
17
중요시설물보존지구
 
1
개소
 
1

Length

Max length9
Median length4
Mean length3.7788018
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row중요시설물보존지구
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 17
 
7.8%
중요시설물보존지구 1
 
0.5%
개소 1
 
0.5%

Length

2024-03-14T11:45:38.480120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:38.578389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 17
 
7.8%
중요시설물보존지구 1
 
0.5%
개소 1
 
0.5%

Unnamed: 37
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
17
면적
 
1

Length

Max length4
Median length4
Mean length3.7557604
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 17
 
7.8%
면적 1
 
0.5%

Length

2024-03-14T11:45:38.668330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:38.772614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 17
 
7.8%
면적 1
 
0.5%

Unnamed: 38
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
14
1
 
3
생태계보존지구
 
1
개소
 
1

Length

Max length7
Median length4
Mean length3.7695853
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row생태계보존지구
2nd row개소
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 14
 
6.5%
1 3
 
1.4%
생태계보존지구 1
 
0.5%
개소 1
 
0.5%

Length

2024-03-14T11:45:38.891972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:38.977312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 14
 
6.5%
1 3
 
1.4%
생태계보존지구 1
 
0.5%
개소 1
 
0.5%

Unnamed: 39
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
13
면적
 
1
707
 
1
1,796,777
 
1
Other values (2)
 
2

Length

Max length9
Median length4
Mean length3.8663594
Min length1

Unique

Unique5 ?
Unique (%)2.3%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row707
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 13
 
6.0%
면적 1
 
0.5%
707 1
 
0.5%
1,796,777 1
 
0.5%
1,797,484 1
 
0.5%
1797484 1
 
0.5%

Length

2024-03-14T11:45:39.075995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:39.166837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 13
 
6.0%
면적 1
 
0.5%
707 1
 
0.5%
1,796,777 1
 
0.5%
1,797,484 1
 
0.5%
1797484 1
 
0.5%

시설보호지구
Categorical

IMBALANCE 

Distinct7
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
13
4
 
2
보호지구 소계
 
1
개소
 
1
Other values (2)
 
2

Length

Max length9
Median length4
Mean length3.8341014
Min length1

Unique

Unique4 ?
Unique (%)1.8%

Sample

1st row보호지구 소계
2nd row개소
3rd row0
4th row249,000
5th row3,028,793

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 13
 
6.0%
4 2
 
0.9%
보호지구 소계 1
 
0.5%
개소 1
 
0.5%
249,000 1
 
0.5%
3,028,793 1
 
0.5%

Length

2024-03-14T11:45:39.268686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:39.371036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
90.8%
0 13
 
6.0%
4 2
 
0.9%
보호지구 1
 
0.5%
소계 1
 
0.5%
개소 1
 
0.5%
249,000 1
 
0.5%
3,028,793 1
 
0.5%

Unnamed: 41
Text

MISSING 

Distinct17
Distinct (%)94.4%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:39.499905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length6
Mean length3.0555556
Min length1

Characters and Unicode

Total characters55
Distinct characters13
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

Unique16 ?
Unique (%)88.9%

Sample

1st row면적
2nd row0
3rd row156
4th row62
5th row83
ValueCountFrequency (%)
3,277,793 2
 
11.1%
21 1
 
5.6%
0 1
 
5.6%
156 1
 
5.6%
62 1
 
5.6%
83 1
 
5.6%
36 1
 
5.6%
19 1
 
5.6%
면적 1
 
5.6%
354 1
 
5.6%
Other values (7) 7
38.9%
2024-03-14T11:45:39.796524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 10
18.2%
3 7
12.7%
7 6
10.9%
5 6
10.9%
9 5
9.1%
1 5
9.1%
6 5
9.1%
, 4
 
7.3%
0 2
 
3.6%
8 2
 
3.6%
Other values (3) 3
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 49
89.1%
Other Punctuation 4
 
7.3%
Other Letter 2
 
3.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 10
20.4%
3 7
14.3%
7 6
12.2%
5 6
12.2%
9 5
10.2%
1 5
10.2%
6 5
10.2%
0 2
 
4.1%
8 2
 
4.1%
4 1
 
2.0%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 53
96.4%
Hangul 2
 
3.6%

Most frequent character per script

Common
ValueCountFrequency (%)
2 10
18.9%
3 7
13.2%
7 6
11.3%
5 6
11.3%
9 5
9.4%
1 5
9.4%
6 5
9.4%
, 4
 
7.5%
0 2
 
3.8%
8 2
 
3.8%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 53
96.4%
Hangul 2
 
3.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 10
18.9%
3 7
13.2%
7 6
11.3%
5 6
11.3%
9 5
9.4%
1 5
9.4%
6 5
9.4%
, 4
 
7.5%
0 2
 
3.8%
8 2
 
3.8%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 42
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
13
1
 
3
학교시설보호지구
 
1
개소
 
1

Length

Max length8
Median length4
Mean length3.7741935
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row학교시설보호지구
2nd row개소
3rd row0
4th row1
5th row3

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 13
 
6.0%
1 3
 
1.4%
학교시설보호지구 1
 
0.5%
개소 1
 
0.5%
3 1
 
0.5%

Length

2024-03-14T11:45:39.951617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:40.051323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 13
 
6.0%
1 3
 
1.4%
학교시설보호지구 1
 
0.5%
개소 1
 
0.5%
3 1
 
0.5%

Unnamed: 43
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
14
249,000
 
2
면적
 
1
1
 
1

Length

Max length7
Median length4
Mean length3.8110599
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row1
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 14
 
6.5%
249,000 2
 
0.9%
면적 1
 
0.5%
1 1
 
0.5%

Length

2024-03-14T11:45:40.160284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:40.254020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 14
 
6.5%
249,000 2
 
0.9%
면적 1
 
0.5%
1 1
 
0.5%

Unnamed: 44
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
16
공용시설보호지구
 
1
개소
 
1
249,000
 
1

Length

Max length8
Median length4
Mean length3.8018433
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row공용시설보호지구
2nd row개소
3rd row0
4th row249,000
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 16
 
7.4%
공용시설보호지구 1
 
0.5%
개소 1
 
0.5%
249,000 1
 
0.5%

Length

2024-03-14T11:45:40.355326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:40.449468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 16
 
7.4%
공용시설보호지구 1
 
0.5%
개소 1
 
0.5%
249,000 1
 
0.5%

Unnamed: 45
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
17
면적
 
1

Length

Max length4
Median length4
Mean length3.7557604
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 17
 
7.8%
면적 1
 
0.5%

Length

2024-03-14T11:45:40.545103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:40.637597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 17
 
7.8%
면적 1
 
0.5%

Unnamed: 46
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
15
3
 
2
항만시설보호지구
 
1
개소
 
1

Length

Max length8
Median length4
Mean length3.7741935
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row항만시설보호지구
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 15
 
6.9%
3 2
 
0.9%
항만시설보호지구 1
 
0.5%
개소 1
 
0.5%

Length

2024-03-14T11:45:40.745764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:40.841638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 15
 
6.9%
3 2
 
0.9%
항만시설보호지구 1
 
0.5%
개소 1
 
0.5%

Unnamed: 47
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
14
3,028,793
 
2
면적
 
1
3
 
1

Length

Max length9
Median length4
Mean length3.8294931
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row3

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 14
 
6.5%
3,028,793 2
 
0.9%
면적 1
 
0.5%
3 1
 
0.5%

Length

2024-03-14T11:45:40.951116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:41.061165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 14
 
6.5%
3,028,793 2
 
0.9%
면적 1
 
0.5%
3 1
 
0.5%

Unnamed: 48
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
16
공항시설보호지구
 
1
개소
 
1
3,028,793
 
1

Length

Max length9
Median length4
Mean length3.8110599
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row공항시설보호지구
2nd row개소
3rd row0
4th row0
5th row3,028,793

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 16
 
7.4%
공항시설보호지구 1
 
0.5%
개소 1
 
0.5%
3,028,793 1
 
0.5%

Length

2024-03-14T11:45:41.167133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:41.266616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 16
 
7.4%
공항시설보호지구 1
 
0.5%
개소 1
 
0.5%
3,028,793 1
 
0.5%

Unnamed: 49
Categorical

IMBALANCE 

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
17
면적
 
1

Length

Max length4
Median length4
Mean length3.7557604
Min length1

Unique

Unique1 ?
Unique (%)0.5%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 17
 
7.8%
면적 1
 
0.5%

Length

2024-03-14T11:45:41.360024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:41.444844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 17
 
7.8%
면적 1
 
0.5%

취락지구
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
15
2,099
 
2
취락지구 소계
 
1
개소
 
1

Length

Max length7
Median length4
Mean length3.8064516
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row취락지구 소계
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 15
 
6.9%
2,099 2
 
0.9%
취락지구 소계 1
 
0.5%
개소 1
 
0.5%

Length

2024-03-14T11:45:41.537519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:41.633429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
90.8%
0 15
 
6.9%
2,099 2
 
0.9%
취락지구 1
 
0.5%
소계 1
 
0.5%
개소 1
 
0.5%

Unnamed: 51
Text

MISSING 

Distinct17
Distinct (%)94.4%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:41.775677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length8.2222222
Min length1

Characters and Unicode

Total characters148
Distinct characters13
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

Unique16 ?
Unique (%)88.9%

Sample

1st row면적
2nd row0
3rd row3,305,788
4th row2,035,769
5th row2,735,189
ValueCountFrequency (%)
68,783,869 2
 
11.1%
538,371 1
 
5.6%
0 1
 
5.6%
3,305,788 1
 
5.6%
2,035,769 1
 
5.6%
2,735,189 1
 
5.6%
2,723,557 1
 
5.6%
1,590,347 1
 
5.6%
면적 1
 
5.6%
9,779,143 1
 
5.6%
Other values (7) 7
38.9%
2024-03-14T11:45:42.121397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 31
20.9%
7 18
12.2%
8 15
10.1%
3 14
9.5%
1 13
8.8%
9 12
 
8.1%
6 11
 
7.4%
5 11
 
7.4%
2 8
 
5.4%
0 7
 
4.7%
Other values (3) 8
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 115
77.7%
Other Punctuation 31
 
20.9%
Other Letter 2
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 18
15.7%
8 15
13.0%
3 14
12.2%
1 13
11.3%
9 12
10.4%
6 11
9.6%
5 11
9.6%
2 8
7.0%
0 7
 
6.1%
4 6
 
5.2%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 146
98.6%
Hangul 2
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
, 31
21.2%
7 18
12.3%
8 15
10.3%
3 14
9.6%
1 13
8.9%
9 12
 
8.2%
6 11
 
7.5%
5 11
 
7.5%
2 8
 
5.5%
0 7
 
4.8%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 146
98.6%
Hangul 2
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 31
21.2%
7 18
12.3%
8 15
10.3%
3 14
9.6%
1 13
8.9%
9 12
 
8.2%
6 11
 
7.5%
5 11
 
7.5%
2 8
 
5.5%
0 7
 
4.8%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 52
Text

MISSING 

Distinct18
Distinct (%)94.7%
Missing198
Missing (%)91.2%
Memory size1.8 KiB
2024-03-14T11:45:42.273268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length2.5789474
Min length1

Characters and Unicode

Total characters49
Distinct characters18
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

Unique17 ?
Unique (%)89.5%

Sample

1st row자연취락지구
2nd row개소
3rd row0
4th row156
5th row62
ValueCountFrequency (%)
0 2
 
10.5%
자연취락지구 1
 
5.3%
265 1
 
5.3%
2,099 1
 
5.3%
354 1
 
5.3%
20 1
 
5.3%
298 1
 
5.3%
29 1
 
5.3%
216 1
 
5.3%
25 1
 
5.3%
Other values (8) 8
42.1%
2024-03-14T11:45:42.510076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 9
18.4%
5 6
12.2%
6 5
10.2%
1 5
10.2%
9 5
10.2%
0 4
8.2%
3 3
 
6.1%
8 2
 
4.1%
구 1
 
2.0%
지 1
 
2.0%
Other values (8) 8
16.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40
81.6%
Other Letter 8
 
16.3%
Other Punctuation 1
 
2.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 9
22.5%
5 6
15.0%
6 5
12.5%
1 5
12.5%
9 5
12.5%
0 4
10.0%
3 3
 
7.5%
8 2
 
5.0%
4 1
 
2.5%
Other Letter
ValueCountFrequency (%)
구 1
12.5%
지 1
12.5%
락 1
12.5%
자 1
12.5%
취 1
12.5%
연 1
12.5%
개 1
12.5%
소 1
12.5%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 41
83.7%
Hangul 8
 
16.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 9
22.0%
5 6
14.6%
6 5
12.2%
1 5
12.2%
9 5
12.2%
0 4
9.8%
3 3
 
7.3%
8 2
 
4.9%
4 1
 
2.4%
, 1
 
2.4%
Hangul
ValueCountFrequency (%)
구 1
12.5%
지 1
12.5%
락 1
12.5%
자 1
12.5%
취 1
12.5%
연 1
12.5%
개 1
12.5%
소 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 41
83.7%
Hangul 8
 
16.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 9
22.0%
5 6
14.6%
6 5
12.2%
1 5
12.2%
9 5
12.2%
0 4
9.8%
3 3
 
7.3%
8 2
 
4.9%
4 1
 
2.4%
, 1
 
2.4%
Hangul
ValueCountFrequency (%)
구 1
12.5%
지 1
12.5%
락 1
12.5%
자 1
12.5%
취 1
12.5%
연 1
12.5%
개 1
12.5%
소 1
12.5%

Unnamed: 53
Text

MISSING 

Distinct17
Distinct (%)94.4%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:42.645989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.7222222
Min length1

Characters and Unicode

Total characters139
Distinct characters13
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

Unique16 ?
Unique (%)88.9%

Sample

1st row면적
2nd row0
3rd row3,305,788
4th row2,035,769
5th row2,735,189
ValueCountFrequency (%)
0 2
 
11.1%
1,131,347 1
 
5.6%
6,351,089 1
 
5.6%
9,779,143 1
 
5.6%
9,671,602 1
 
5.6%
9,819,577 1
 
5.6%
1,582,168 1
 
5.6%
6,897,477 1
 
5.6%
10,622,445 1
 
5.6%
3,305,788 1
 
5.6%
Other values (7) 7
38.9%
2024-03-14T11:45:42.902077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 29
20.9%
7 17
12.2%
3 13
9.4%
1 13
9.4%
8 12
8.6%
5 11
 
7.9%
9 11
 
7.9%
6 9
 
6.5%
0 8
 
5.8%
2 8
 
5.8%
Other values (3) 8
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 108
77.7%
Other Punctuation 29
 
20.9%
Other Letter 2
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 17
15.7%
3 13
12.0%
1 13
12.0%
8 12
11.1%
5 11
10.2%
9 11
10.2%
6 9
8.3%
0 8
7.4%
2 8
7.4%
4 6
 
5.6%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 137
98.6%
Hangul 2
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
, 29
21.2%
7 17
12.4%
3 13
9.5%
1 13
9.5%
8 12
8.8%
5 11
 
8.0%
9 11
 
8.0%
6 9
 
6.6%
0 8
 
5.8%
2 8
 
5.8%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137
98.6%
Hangul 2
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 29
21.2%
7 17
12.4%
3 13
9.5%
1 13
9.5%
8 12
8.8%
5 11
 
8.0%
9 11
 
8.0%
6 9
 
6.6%
0 8
 
5.8%
2 8
 
5.8%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 54
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
16
집단취락지구
 
1
개소
 
1
211
 
1

Length

Max length6
Median length4
Mean length3.7741935
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row집단취락지구
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 16
 
7.4%
집단취락지구 1
 
0.5%
개소 1
 
0.5%
211 1
 
0.5%

Length

2024-03-14T11:45:43.038206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:43.148313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 16
 
7.4%
집단취락지구 1
 
0.5%
개소 1
 
0.5%
211 1
 
0.5%

Unnamed: 55
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
16
면적
 
1
58,525,088
 
1

Length

Max length10
Median length4
Mean length3.797235
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 16
 
7.4%
면적 1
 
0.5%
58,525,088 1
 
0.5%

Length

2024-03-14T11:45:43.256321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:43.336910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 16
 
7.4%
면적 1
 
0.5%
58,525,088 1
 
0.5%

개발진흥지구
Text

MISSING 

Distinct17
Distinct (%)89.5%
Missing198
Missing (%)91.2%
Memory size1.8 KiB
2024-03-14T11:45:43.445051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.0526316
Min length1

Characters and Unicode

Total characters39
Distinct characters19
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

Unique15 ?
Unique (%)78.9%

Sample

1st row개발진흥지구 소계
2nd row개소
3rd row0
4th row0
5th row23
ValueCountFrequency (%)
8 2
 
10.0%
0 2
 
10.0%
개발진흥지구 1
 
5.0%
23 1
 
5.0%
45 1
 
5.0%
16 1
 
5.0%
14 1
 
5.0%
39 1
 
5.0%
19 1
 
5.0%
개소 1
 
5.0%
Other values (8) 8
40.0%
2024-03-14T11:45:43.689345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 8
20.5%
2 3
 
7.7%
4 3
 
7.7%
0 3
 
7.7%
9 3
 
7.7%
8 2
 
5.1%
개 2
 
5.1%
3 2
 
5.1%
소 2
 
5.1%
5 2
 
5.1%
Other values (9) 9
23.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28
71.8%
Other Letter 10
 
25.6%
Space Separator 1
 
2.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8
28.6%
2 3
 
10.7%
4 3
 
10.7%
0 3
 
10.7%
9 3
 
10.7%
8 2
 
7.1%
3 2
 
7.1%
5 2
 
7.1%
7 1
 
3.6%
6 1
 
3.6%
Other Letter
ValueCountFrequency (%)
개 2
20.0%
소 2
20.0%
발 1
10.0%
진 1
10.0%
흥 1
10.0%
지 1
10.0%
구 1
10.0%
계 1
10.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29
74.4%
Hangul 10
 
25.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 8
27.6%
2 3
 
10.3%
4 3
 
10.3%
0 3
 
10.3%
9 3
 
10.3%
8 2
 
6.9%
3 2
 
6.9%
5 2
 
6.9%
7 1
 
3.4%
6 1
 
3.4%
Hangul
ValueCountFrequency (%)
개 2
20.0%
소 2
20.0%
발 1
10.0%
진 1
10.0%
흥 1
10.0%
지 1
10.0%
구 1
10.0%
계 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29
74.4%
Hangul 10
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 8
27.6%
2 3
 
10.3%
4 3
 
10.3%
0 3
 
10.3%
9 3
 
10.3%
8 2
 
6.9%
3 2
 
6.9%
5 2
 
6.9%
7 1
 
3.4%
6 1
 
3.4%
Hangul
ValueCountFrequency (%)
개 2
20.0%
소 2
20.0%
발 1
10.0%
진 1
10.0%
흥 1
10.0%
지 1
10.0%
구 1
10.0%
계 1
10.0%

Unnamed: 57
Text

MISSING 

Distinct17
Distinct (%)94.4%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:43.822428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.6111111
Min length1

Characters and Unicode

Total characters137
Distinct characters13
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

Unique16 ?
Unique (%)88.9%

Sample

1st row면적
2nd row0
3rd row0
4th row4,528,026
5th row6,803,499
ValueCountFrequency (%)
0 2
 
11.1%
2,410,311 1
 
5.6%
676,774 1
 
5.6%
8,505,435 1
 
5.6%
1,640,584 1
 
5.6%
25,284,308 1
 
5.6%
1,462,712 1
 
5.6%
107,168 1
 
5.6%
1,957,168 1
 
5.6%
4,528,026 1
 
5.6%
Other values (7) 7
38.9%
2024-03-14T11:45:44.079251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 28
20.4%
5 14
10.2%
8 14
10.2%
1 14
10.2%
4 13
9.5%
0 11
 
8.0%
2 10
 
7.3%
6 10
 
7.3%
7 9
 
6.6%
3 6
 
4.4%
Other values (3) 8
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 107
78.1%
Other Punctuation 28
 
20.4%
Other Letter 2
 
1.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 14
13.1%
8 14
13.1%
1 14
13.1%
4 13
12.1%
0 11
10.3%
2 10
9.3%
6 10
9.3%
7 9
8.4%
3 6
5.6%
9 6
5.6%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 135
98.5%
Hangul 2
 
1.5%

Most frequent character per script

Common
ValueCountFrequency (%)
, 28
20.7%
5 14
10.4%
8 14
10.4%
1 14
10.4%
4 13
9.6%
0 11
 
8.1%
2 10
 
7.4%
6 10
 
7.4%
7 9
 
6.7%
3 6
 
4.4%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 135
98.5%
Hangul 2
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 28
20.7%
5 14
10.4%
8 14
10.4%
1 14
10.4%
4 13
9.6%
0 11
 
8.1%
2 10
 
7.4%
6 10
 
7.4%
7 9
 
6.7%
3 6
 
4.4%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 58
Text

MISSING 

Distinct11
Distinct (%)57.9%
Missing198
Missing (%)91.2%
Memory size1.8 KiB
2024-03-14T11:45:44.210607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length1
Mean length1.7368421
Min length1

Characters and Unicode

Total characters33
Distinct characters16
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)52.6%

Sample

1st row주거개발진흥지구
2nd row개소
3rd row0
4th row0
5th row8
ValueCountFrequency (%)
0 9
47.4%
주거개발진흥지구 1
 
5.3%
개소 1
 
5.3%
8 1
 
5.3%
11 1
 
5.3%
5 1
 
5.3%
14 1
 
5.3%
12 1
 
5.3%
4 1
 
5.3%
103 1
 
5.3%
2024-03-14T11:45:44.515113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10
30.3%
1 5
15.2%
4 3
 
9.1%
개 2
 
6.1%
5 2
 
6.1%
주 1
 
3.0%
거 1
 
3.0%
발 1
 
3.0%
진 1
 
3.0%
흥 1
 
3.0%
Other values (6) 6
18.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23
69.7%
Other Letter 10
30.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 2
20.0%
주 1
10.0%
거 1
10.0%
발 1
10.0%
진 1
10.0%
흥 1
10.0%
지 1
10.0%
구 1
10.0%
소 1
10.0%
Decimal Number
ValueCountFrequency (%)
0 10
43.5%
1 5
21.7%
4 3
 
13.0%
5 2
 
8.7%
8 1
 
4.3%
2 1
 
4.3%
3 1
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Common 23
69.7%
Hangul 10
30.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 2
20.0%
주 1
10.0%
거 1
10.0%
발 1
10.0%
진 1
10.0%
흥 1
10.0%
지 1
10.0%
구 1
10.0%
소 1
10.0%
Common
ValueCountFrequency (%)
0 10
43.5%
1 5
21.7%
4 3
 
13.0%
5 2
 
8.7%
8 1
 
4.3%
2 1
 
4.3%
3 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23
69.7%
Hangul 10
30.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10
43.5%
1 5
21.7%
4 3
 
13.0%
5 2
 
8.7%
8 1
 
4.3%
2 1
 
4.3%
3 1
 
4.3%
Hangul
ValueCountFrequency (%)
개 2
20.0%
주 1
10.0%
거 1
10.0%
발 1
10.0%
진 1
10.0%
흥 1
10.0%
지 1
10.0%
구 1
10.0%
소 1
10.0%

Unnamed: 59
Text

MISSING 

Distinct10
Distinct (%)55.6%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:44.628030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.3888889
Min length1

Characters and Unicode

Total characters79
Distinct characters13
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

Unique9 ?
Unique (%)50.0%

Sample

1st row면적
2nd row0
3rd row0
4th row1,969,467
5th row1,212,044
ValueCountFrequency (%)
0 9
50.0%
면적 1
 
5.6%
1,969,467 1
 
5.6%
1,212,044 1
 
5.6%
493,274 1
 
5.6%
2,841,394 1
 
5.6%
887,447 1
 
5.6%
1,101,809 1
 
5.6%
9,833,610 1
 
5.6%
8,505,435 1
 
5.6%
2024-03-14T11:45:44.856295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 14
17.7%
, 14
17.7%
4 10
12.7%
1 8
10.1%
9 6
7.6%
8 6
7.6%
3 5
 
6.3%
7 4
 
5.1%
2 4
 
5.1%
6 3
 
3.8%
Other values (3) 5
 
6.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63
79.7%
Other Punctuation 14
 
17.7%
Other Letter 2
 
2.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 14
22.2%
4 10
15.9%
1 8
12.7%
9 6
9.5%
8 6
9.5%
3 5
 
7.9%
7 4
 
6.3%
2 4
 
6.3%
6 3
 
4.8%
5 3
 
4.8%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77
97.5%
Hangul 2
 
2.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 14
18.2%
, 14
18.2%
4 10
13.0%
1 8
10.4%
9 6
7.8%
8 6
7.8%
3 5
 
6.5%
7 4
 
5.2%
2 4
 
5.2%
6 3
 
3.9%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77
97.5%
Hangul 2
 
2.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 14
18.2%
, 14
18.2%
4 10
13.0%
1 8
10.4%
9 6
7.8%
8 6
7.8%
3 5
 
6.5%
7 4
 
5.2%
2 4
 
5.2%
6 3
 
3.9%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 60
Text

MISSING 

Distinct13
Distinct (%)68.4%
Missing198
Missing (%)91.2%
Memory size1.8 KiB
2024-03-14T11:45:44.988445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length1
Mean length1.6315789
Min length1

Characters and Unicode

Total characters31
Distinct characters18
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)42.1%

Sample

1st row산업개발진흥지구
2nd row개소
3rd row0
4th row0
5th row8
ValueCountFrequency (%)
0 3
15.8%
8 2
10.5%
7 2
10.5%
4 2
10.5%
5 2
10.5%
산업개발진흥지구 1
 
5.3%
개소 1
 
5.3%
27 1
 
5.3%
20 1
 
5.3%
2 1
 
5.3%
Other values (3) 3
15.8%
2024-03-14T11:45:45.222474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5
16.1%
7 3
 
9.7%
2 3
 
9.7%
4 2
 
6.5%
5 2
 
6.5%
1 2
 
6.5%
개 2
 
6.5%
8 2
 
6.5%
구 1
 
3.2%
6 1
 
3.2%
Other values (8) 8
25.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21
67.7%
Other Letter 10
32.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5
23.8%
7 3
14.3%
2 3
14.3%
4 2
 
9.5%
5 2
 
9.5%
1 2
 
9.5%
8 2
 
9.5%
6 1
 
4.8%
3 1
 
4.8%
Other Letter
ValueCountFrequency (%)
개 2
20.0%
구 1
10.0%
소 1
10.0%
진 1
10.0%
지 1
10.0%
흥 1
10.0%
발 1
10.0%
업 1
10.0%
산 1
10.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21
67.7%
Hangul 10
32.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5
23.8%
7 3
14.3%
2 3
14.3%
4 2
 
9.5%
5 2
 
9.5%
1 2
 
9.5%
8 2
 
9.5%
6 1
 
4.8%
3 1
 
4.8%
Hangul
ValueCountFrequency (%)
개 2
20.0%
구 1
10.0%
소 1
10.0%
진 1
10.0%
지 1
10.0%
흥 1
10.0%
발 1
10.0%
업 1
10.0%
산 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21
67.7%
Hangul 10
32.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5
23.8%
7 3
14.3%
2 3
14.3%
4 2
 
9.5%
5 2
 
9.5%
1 2
 
9.5%
8 2
 
9.5%
6 1
 
4.8%
3 1
 
4.8%
Hangul
ValueCountFrequency (%)
개 2
20.0%
구 1
10.0%
소 1
10.0%
진 1
10.0%
지 1
10.0%
흥 1
10.0%
발 1
10.0%
업 1
10.0%
산 1
10.0%

Unnamed: 61
Text

MISSING 

Distinct16
Distinct (%)88.9%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:45.361359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6
Min length1

Characters and Unicode

Total characters108
Distinct characters13
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

Unique15 ?
Unique (%)83.3%

Sample

1st row면적
2nd row0
3rd row0
4th row516,000
5th row2,136,230
ValueCountFrequency (%)
0 3
16.7%
838,210 1
 
5.6%
516,000 1
 
5.6%
2,136,230 1
 
5.6%
990,918 1
 
5.6%
624,340 1
 
5.6%
1,629,669 1
 
5.6%
면적 1
 
5.6%
432,400 1
 
5.6%
445,339 1
 
5.6%
Other values (6) 6
33.3%
2024-03-14T11:45:45.591926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 17
15.7%
0 15
13.9%
3 12
11.1%
8 10
9.3%
1 10
9.3%
6 9
8.3%
9 9
8.3%
2 8
7.4%
4 7
6.5%
5 5
 
4.6%
Other values (3) 6
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 89
82.4%
Other Punctuation 17
 
15.7%
Other Letter 2
 
1.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 15
16.9%
3 12
13.5%
8 10
11.2%
1 10
11.2%
6 9
10.1%
9 9
10.1%
2 8
9.0%
4 7
7.9%
5 5
 
5.6%
7 4
 
4.5%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 106
98.1%
Hangul 2
 
1.9%

Most frequent character per script

Common
ValueCountFrequency (%)
, 17
16.0%
0 15
14.2%
3 12
11.3%
8 10
9.4%
1 10
9.4%
6 9
8.5%
9 9
8.5%
2 8
7.5%
4 7
6.6%
5 5
 
4.7%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 106
98.1%
Hangul 2
 
1.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 17
16.0%
0 15
14.2%
3 12
11.3%
8 10
9.4%
1 10
9.4%
6 9
8.5%
9 9
8.5%
2 8
7.5%
4 7
6.6%
5 5
 
4.7%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 62
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
14
1
 
2
유통개발진흥지구
 
1
개소
 
1

Length

Max length8
Median length4
Mean length3.7788018
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row유통개발진흥지구
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 14
 
6.5%
1 2
 
0.9%
유통개발진흥지구 1
 
0.5%
개소 1
 
0.5%
48 1
 
0.5%

Length

2024-03-14T11:45:45.698762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:46.049576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 14
 
6.5%
1 2
 
0.9%
유통개발진흥지구 1
 
0.5%
개소 1
 
0.5%
48 1
 
0.5%

Unnamed: 63
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
14
53,038
 
2
면적
 
1
39,625,072
 
1

Length

Max length10
Median length4
Mean length3.843318
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 14
 
6.5%
53,038 2
 
0.9%
면적 1
 
0.5%
39,625,072 1
 
0.5%

Length

2024-03-14T11:45:46.138306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:46.241436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 14
 
6.5%
53,038 2
 
0.9%
면적 1
 
0.5%
39,625,072 1
 
0.5%

Unnamed: 64
Text

MISSING 

Distinct10
Distinct (%)52.6%
Missing198
Missing (%)91.2%
Memory size1.8 KiB
2024-03-14T11:45:46.341192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length1
Mean length1.4736842
Min length1

Characters and Unicode

Total characters28
Distinct characters17
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5 ?
Unique (%)26.3%

Sample

1st row관광휴양개발진흥
2nd row개소
3rd row0
4th row0
5th row7
ValueCountFrequency (%)
3 4
21.1%
0 3
15.8%
4 3
15.8%
7 2
10.5%
2 2
10.5%
관광휴양개발진흥 1
 
5.3%
개소 1
 
5.3%
6 1
 
5.3%
1 1
 
5.3%
48 1
 
5.3%
2024-03-14T11:45:46.660855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 4
14.3%
4 4
14.3%
0 3
10.7%
7 2
 
7.1%
2 2
 
7.1%
개 2
 
7.1%
진 1
 
3.6%
1 1
 
3.6%
6 1
 
3.6%
소 1
 
3.6%
Other values (7) 7
25.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18
64.3%
Other Letter 10
35.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
개 2
20.0%
진 1
10.0%
소 1
10.0%
흥 1
10.0%
양 1
10.0%
발 1
10.0%
휴 1
10.0%
광 1
10.0%
관 1
10.0%
Decimal Number
ValueCountFrequency (%)
3 4
22.2%
4 4
22.2%
0 3
16.7%
7 2
11.1%
2 2
11.1%
1 1
 
5.6%
6 1
 
5.6%
8 1
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
Common 18
64.3%
Hangul 10
35.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
개 2
20.0%
진 1
10.0%
소 1
10.0%
흥 1
10.0%
양 1
10.0%
발 1
10.0%
휴 1
10.0%
광 1
10.0%
관 1
10.0%
Common
ValueCountFrequency (%)
3 4
22.2%
4 4
22.2%
0 3
16.7%
7 2
11.1%
2 2
11.1%
1 1
 
5.6%
6 1
 
5.6%
8 1
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 18
64.3%
Hangul 10
35.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 4
22.2%
4 4
22.2%
0 3
16.7%
7 2
11.1%
2 2
11.1%
1 1
 
5.6%
6 1
 
5.6%
8 1
 
5.6%
Hangul
ValueCountFrequency (%)
개 2
20.0%
진 1
10.0%
소 1
10.0%
흥 1
10.0%
양 1
10.0%
발 1
10.0%
휴 1
10.0%
광 1
10.0%
관 1
10.0%

Unnamed: 65
Text

MISSING 

Distinct16
Distinct (%)88.9%
Missing199
Missing (%)91.7%
Memory size1.8 KiB
2024-03-14T11:45:46.782287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length6.6666667
Min length1

Characters and Unicode

Total characters120
Distinct characters13
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

Unique15 ?
Unique (%)83.3%

Sample

1st row면적
2nd row0
3rd row0
4th row2,042,559
5th row3,455,225
ValueCountFrequency (%)
0 3
16.7%
457,573 1
 
5.6%
2,042,559 1
 
5.6%
3,455,225 1
 
5.6%
3,121,166 1
 
5.6%
523,159 1
 
5.6%
1,055,716 1
 
5.6%
면적 1
 
5.6%
170,225 1
 
5.6%
1,833,653 1
 
5.6%
Other values (6) 6
33.3%
2024-03-14T11:45:47.015912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 22
18.3%
5 18
15.0%
3 13
10.8%
2 11
9.2%
1 11
9.2%
0 10
8.3%
7 9
7.5%
9 7
 
5.8%
4 6
 
5.0%
8 6
 
5.0%
Other values (3) 7
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96
80.0%
Other Punctuation 22
 
18.3%
Other Letter 2
 
1.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 18
18.8%
3 13
13.5%
2 11
11.5%
1 11
11.5%
0 10
10.4%
7 9
9.4%
9 7
 
7.3%
4 6
 
6.2%
8 6
 
6.2%
6 5
 
5.2%
Other Letter
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118
98.3%
Hangul 2
 
1.7%

Most frequent character per script

Common
ValueCountFrequency (%)
, 22
18.6%
5 18
15.3%
3 13
11.0%
2 11
9.3%
1 11
9.3%
0 10
8.5%
7 9
7.6%
9 7
 
5.9%
4 6
 
5.1%
8 6
 
5.1%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118
98.3%
Hangul 2
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 22
18.6%
5 18
15.3%
3 13
11.0%
2 11
9.3%
1 11
9.3%
0 10
8.5%
7 9
7.6%
9 7
 
5.9%
4 6
 
5.1%
8 6
 
5.1%
Hangul
ValueCountFrequency (%)
면 1
50.0%
적 1
50.0%

Unnamed: 66
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
14
1
 
2
복합개발진흥지구
 
1
개소
 
1

Length

Max length8
Median length4
Mean length3.7741935
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row복합개발진흥지구
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 14
 
6.5%
1 2
 
0.9%
복합개발진흥지구 1
 
0.5%
개소 1
 
0.5%
4 1
 
0.5%

Length

2024-03-14T11:45:47.128624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:47.255680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 14
 
6.5%
1 2
 
0.9%
복합개발진흥지구 1
 
0.5%
개소 1
 
0.5%
4 1
 
0.5%

Unnamed: 67
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
14
74,149
 
2
면적
 
1
433,784
 
1

Length

Max length7
Median length4
Mean length3.8294931
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 14
 
6.5%
74,149 2
 
0.9%
면적 1
 
0.5%
433,784 1
 
0.5%

Length

2024-03-14T11:45:47.357079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:47.450579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 14
 
6.5%
74,149 2
 
0.9%
면적 1
 
0.5%
433,784 1
 
0.5%

Unnamed: 68
Categorical

IMBALANCE 

Distinct6
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
198 
0
 
12
1
 
4
특정개발진흥지구
 
1
개소
 
1

Length

Max length8
Median length4
Mean length3.7741935
Min length1

Unique

Unique3 ?
Unique (%)1.4%

Sample

1st row특정개발진흥지구
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 198
91.2%
0 12
 
5.5%
1 4
 
1.8%
특정개발진흥지구 1
 
0.5%
개소 1
 
0.5%
4 1
 
0.5%

Length

2024-03-14T11:45:47.552341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:47.641676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 198
91.2%
0 12
 
5.5%
1 4
 
1.8%
특정개발진흥지구 1
 
0.5%
개소 1
 
0.5%
4 1
 
0.5%

Unnamed: 69
Categorical

IMBALANCE 

Distinct8
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
12
면적
 
1
138,634
 
1
84,764
 
1
Other values (3)
 
3

Length

Max length7
Median length4
Mean length3.8847926
Min length1

Unique

Unique6 ?
Unique (%)2.8%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 12
 
5.5%
면적 1
 
0.5%
138,634 1
 
0.5%
84,764 1
 
0.5%
131,319 1
 
0.5%
79,067 1
 
0.5%
433,784 1
 
0.5%

Length

2024-03-14T11:45:47.733525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:47.824812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 12
 
5.5%
면적 1
 
0.5%
138,634 1
 
0.5%
84,764 1
 
0.5%
131,319 1
 
0.5%
79,067 1
 
0.5%
433,784 1
 
0.5%

특정용도제한지구
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
16
개소
 
1
2,099
 
1

Length

Max length5
Median length4
Mean length3.7741935
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row개소
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 16
 
7.4%
개소 1
 
0.5%
2,099 1
 
0.5%

Length

2024-03-14T11:45:47.925576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:48.016402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 16
 
7.4%
개소 1
 
0.5%
2,099 1
 
0.5%

Unnamed: 71
Categorical

IMBALANCE 

Distinct4
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
<NA>
199 
0
 
16
면적
 
1
68,783,869
 
1

Length

Max length10
Median length4
Mean length3.797235
Min length1

Unique

Unique2 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row면적
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
<NA> 199
91.7%
0 16
 
7.4%
면적 1
 
0.5%
68,783,869 1
 
0.5%

Length

2024-03-14T11:45:48.123038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:45:48.206892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 199
91.7%
0 16
 
7.4%
면적 1
 
0.5%
68,783,869 1
 
0.5%

Sample

시도시군구경관지구Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9미관지구Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17고도지구Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23방화지구Unnamed: 25방재지구Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31보존지구Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39시설보호지구Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49취락지구Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55개발진흥지구Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69특정용도제한지구Unnamed: 71
0<NA><NA>경관지구 소계<NA>자연경관지구<NA>수변경관지구<NA>시가지경관지구<NA>미관지구 소계<NA>중심지미관지구<NA>역사문화미관지구<NA>일반미관지구<NA>고도지구 소계<NA>최저고도지구<NA>최고고도지구<NA><NA><NA>방재지구소계<NA>시가지방재지구<NA>자연방재지구<NA>보존지구 소계<NA>문화자원보존지구<NA>중요시설물보존지구<NA>생태계보존지구<NA>보호지구 소계<NA>학교시설보호지구<NA>공용시설보호지구<NA>항만시설보호지구<NA>공항시설보호지구<NA>취락지구 소계<NA>자연취락지구<NA>집단취락지구<NA>개발진흥지구 소계<NA>주거개발진흥지구<NA>산업개발진흥지구<NA>유통개발진흥지구<NA>관광휴양개발진흥<NA>복합개발진흥지구<NA>특정개발진흥지구<NA><NA><NA>
1<NA><NA>개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적개소면적
2전라북도전라북도0000000000000000000000000000000000000000000000000000000000000000000000
3전라북도전주시8512,4478512,4470000843,385,17210287,018111,000733,087,1543255,700207,960,961238,216,661214,075,560<NA><NA>00<NA><NA>26,17915,472001707249,00015611249,0000000003,305,7881563,305,788000000000000000000
4전라북도군산시16637,08316637,0830000223,121,488335,14300193,086,3450081,259,53281,259,53232,513,248<NA><NA>00<NA><NA>000000003,028,793623000033,028,793002,035,769622,035,76900234,528,02681,969,4678516,0000072,042,559000000
5전라북도익산시312,680,21100312,680,21100292,477,96710172,06541,270,955151,034,947448,9246935,82310984,74791,180,126<NA><NA>00<NA><NA>1202,2111202,21100000830000000002,735,189832,735,18900456,803,499111,212,044272,136,2300073,455,225000000
6전라북도정읍시120,000120,0000000000000000000002329,600<NA><NA>00<NA><NA>000000000360000000002,723,557362,723,55700164,605,3585493,2747990,9180043,121,166000000
7전라북도남원시0000000016359,396000016359,39600444,189,207444,189,20700<NA><NA>00<NA><NA>2101,7102101,71000000190000000001,590,347191,590,34700141,147,499008624,340006523,159000000
8전라북도김제시0000000017237,354874,988009162,36600000000<NA><NA>00<NA><NA>315,341315,3410000021000000000538,37121538,37100395,579,817142,841,394201,629,669153,03841,055,716000000
9전라북도완주군000000006261,59100006261,59100000000<NA><NA>00<NA><NA>15,19015,1900000051500000000010,622,44551510,622,44500192,321,86412887,4474838,210002457,573001138,63400
시도시군구경관지구Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9미관지구Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17고도지구Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23방화지구Unnamed: 25방재지구Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31보존지구Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39시설보호지구Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49취락지구Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55개발진흥지구Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69특정용도제한지구Unnamed: 71
207<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
208<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
209<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
210<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
211<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
212<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
213<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
214<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
215<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
216<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

시도시군구경관지구Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9미관지구Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17고도지구Unnamed: 19Unnamed: 20Unnamed: 21Unnamed: 22Unnamed: 23방화지구Unnamed: 25방재지구Unnamed: 27Unnamed: 28Unnamed: 29Unnamed: 30Unnamed: 31보존지구Unnamed: 33Unnamed: 34Unnamed: 35Unnamed: 36Unnamed: 37Unnamed: 38Unnamed: 39시설보호지구Unnamed: 41Unnamed: 42Unnamed: 43Unnamed: 44Unnamed: 45Unnamed: 46Unnamed: 47Unnamed: 48Unnamed: 49취락지구Unnamed: 51Unnamed: 52Unnamed: 53Unnamed: 54Unnamed: 55개발진흥지구Unnamed: 57Unnamed: 58Unnamed: 59Unnamed: 60Unnamed: 61Unnamed: 62Unnamed: 63Unnamed: 64Unnamed: 65Unnamed: 66Unnamed: 67Unnamed: 68Unnamed: 69특정용도제한지구Unnamed: 71# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>198