Overview

Dataset statistics

Number of variables9
Number of observations286
Missing cells294
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.2 KiB
Average record size in memory72.5 B

Variable types

Text5
Categorical4

Dataset

Description키,분류1,분류2,분류3,검색어,명칭,행정 시,행정 구,행정 동
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-12986/S/1/datasetView.do

Alerts

분류1 has constant value ""Constant
분류2 has constant value ""Constant
분류3 has constant value ""Constant
행정 구 has 147 (51.4%) missing valuesMissing
행정 동 has 147 (51.4%) missing valuesMissing
키 has unique valuesUnique

Reproduction

Analysis started2023-12-11 09:26:00.837833
Analysis finished2023-12-11 09:26:01.794119
Duration0.96 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

키
Text

UNIQUE 

Distinct286
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T18:26:02.005172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters3432
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique286 ?
Unique (%)100.0%

Sample

1st rowBE_IW04-0059
2nd rowBE_IW04-0060
3rd rowBE_IW04-0061
4th rowBE_IW04-0062
5th rowBE_IW04-0063
ValueCountFrequency (%)
be_iw04-0059 1
 
0.3%
be_iw04-0150 1
 
0.3%
be_iw04-0156 1
 
0.3%
be_iw04-0155 1
 
0.3%
be_iw04-0154 1
 
0.3%
be_iw04-0153 1
 
0.3%
be_iw04-0152 1
 
0.3%
be_iw04-0160 1
 
0.3%
be_iw04-0149 1
 
0.3%
be_iw04-0158 1
 
0.3%
Other values (276) 276
96.5%
2023-12-11T18:26:02.388215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 728
21.2%
4 345
10.1%
B 286
 
8.3%
E 286
 
8.3%
_ 286
 
8.3%
I 286
 
8.3%
W 286
 
8.3%
- 286
 
8.3%
1 159
 
4.6%
2 146
 
4.3%
Other values (6) 338
9.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1716
50.0%
Uppercase Letter 1144
33.3%
Connector Punctuation 286
 
8.3%
Dash Punctuation 286
 
8.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 728
42.4%
4 345
20.1%
1 159
 
9.3%
2 146
 
8.5%
5 59
 
3.4%
6 59
 
3.4%
3 59
 
3.4%
7 58
 
3.4%
8 55
 
3.2%
9 48
 
2.8%
Uppercase Letter
ValueCountFrequency (%)
B 286
25.0%
E 286
25.0%
I 286
25.0%
W 286
25.0%
Connector Punctuation
ValueCountFrequency (%)
_ 286
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 286
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2288
66.7%
Latin 1144
33.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 728
31.8%
4 345
15.1%
_ 286
 
12.5%
- 286
 
12.5%
1 159
 
6.9%
2 146
 
6.4%
5 59
 
2.6%
6 59
 
2.6%
3 59
 
2.6%
7 58
 
2.5%
Other values (2) 103
 
4.5%
Latin
ValueCountFrequency (%)
B 286
25.0%
E 286
25.0%
I 286
25.0%
W 286
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3432
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 728
21.2%
4 345
10.1%
B 286
 
8.3%
E 286
 
8.3%
_ 286
 
8.3%
I 286
 
8.3%
W 286
 
8.3%
- 286
 
8.3%
1 159
 
4.6%
2 146
 
4.3%
Other values (6) 338
9.8%

분류1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
관광/숙박
286 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row관광/숙박
2nd row관광/숙박
3rd row관광/숙박
4th row관광/숙박
5th row관광/숙박

Common Values

ValueCountFrequency (%)
관광/숙박 286
100.0%

Length

2023-12-11T18:26:02.563277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:26:02.656207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광/숙박 286
100.0%

분류2
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
테마-보호구역
286 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row테마-보호구역
2nd row테마-보호구역
3rd row테마-보호구역
4th row테마-보호구역
5th row테마-보호구역

Common Values

ValueCountFrequency (%)
테마-보호구역 286
100.0%

Length

2023-12-11T18:26:02.783432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:26:02.905743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
테마-보호구역 286
100.0%

분류3
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
영화/드라마/CF 촬영소
286 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영화/드라마/CF 촬영소
2nd row영화/드라마/CF 촬영소
3rd row영화/드라마/CF 촬영소
4th row영화/드라마/CF 촬영소
5th row영화/드라마/CF 촬영소

Common Values

ValueCountFrequency (%)
영화/드라마/CF 촬영소 286
100.0%

Length

2023-12-11T18:26:03.018332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T18:26:03.118294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영화/드라마/cf 286
50.0%
촬영소 286
50.0%

검색어
Text

Distinct240
Distinct (%)83.9%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T18:26:03.357298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length7.8951049
Min length2

Characters and Unicode

Total characters2258
Distinct characters300
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique212 ?
Unique (%)74.1%

Sample

1st row대망촬영지
2nd row대왕세종촬영장
3rd row대장금촬영지
4th row대장금촬영지
5th row대장금촬영지
ValueCountFrequency (%)
서동요촬영지 5
 
1.7%
환상의커플촬영지 5
 
1.7%
대장금촬영지 4
 
1.4%
로망스촬영지 4
 
1.4%
상도촬영지 4
 
1.4%
불새촬영지 3
 
1.0%
러빙유촬영지 3
 
1.0%
엽기적인그녀/촬영지 3
 
1.0%
외출촬영지 3
 
1.0%
마이걸촬영지 3
 
1.0%
Other values (230) 249
87.1%
2023-12-11T18:26:03.846903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 234
 
10.4%
촬 207
 
9.2%
지 179
 
7.9%
/ 89
 
3.9%
장 80
 
3.5%
소 36
 
1.6%
마 34
 
1.5%
세 31
 
1.4%
트 30
 
1.3%
라 28
 
1.2%
Other values (290) 1310
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2076
91.9%
Other Punctuation 103
 
4.6%
Uppercase Letter 54
 
2.4%
Decimal Number 13
 
0.6%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 234
 
11.3%
촬 207
 
10.0%
지 179
 
8.6%
장 80
 
3.9%
소 36
 
1.7%
마 34
 
1.6%
세 31
 
1.5%
트 30
 
1.4%
라 28
 
1.3%
대 26
 
1.3%
Other values (263) 1191
57.4%
Uppercase Letter
ValueCountFrequency (%)
S 11
20.4%
B 10
18.5%
M 7
13.0%
C 6
11.1%
A 5
9.3%
K 4
 
7.4%
Y 4
 
7.4%
J 1
 
1.9%
V 1
 
1.9%
T 1
 
1.9%
Other values (4) 4
 
7.4%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
2 2
15.4%
5 2
15.4%
3 2
15.4%
4 1
 
7.7%
9 1
 
7.7%
0 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
/ 89
86.4%
' 14
 
13.6%
Open Punctuation
ValueCountFrequency (%)
( 3
50.0%
[ 3
50.0%
Close Punctuation
ValueCountFrequency (%)
) 3
50.0%
] 3
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2076
91.9%
Common 128
 
5.7%
Latin 54
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 234
 
11.3%
촬 207
 
10.0%
지 179
 
8.6%
장 80
 
3.9%
소 36
 
1.7%
마 34
 
1.6%
세 31
 
1.5%
트 30
 
1.4%
라 28
 
1.3%
대 26
 
1.3%
Other values (263) 1191
57.4%
Latin
ValueCountFrequency (%)
S 11
20.4%
B 10
18.5%
M 7
13.0%
C 6
11.1%
A 5
9.3%
K 4
 
7.4%
Y 4
 
7.4%
J 1
 
1.9%
V 1
 
1.9%
T 1
 
1.9%
Other values (4) 4
 
7.4%
Common
ValueCountFrequency (%)
/ 89
69.5%
' 14
 
10.9%
1 4
 
3.1%
( 3
 
2.3%
) 3
 
2.3%
] 3
 
2.3%
[ 3
 
2.3%
2 2
 
1.6%
5 2
 
1.6%
3 2
 
1.6%
Other values (3) 3
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2076
91.9%
ASCII 182
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 234
 
11.3%
촬 207
 
10.0%
지 179
 
8.6%
장 80
 
3.9%
소 36
 
1.7%
마 34
 
1.6%
세 31
 
1.5%
트 30
 
1.4%
라 28
 
1.3%
대 26
 
1.3%
Other values (263) 1191
57.4%
ASCII
ValueCountFrequency (%)
/ 89
48.9%
' 14
 
7.7%
S 11
 
6.0%
B 10
 
5.5%
M 7
 
3.8%
C 6
 
3.3%
A 5
 
2.7%
1 4
 
2.2%
K 4
 
2.2%
Y 4
 
2.2%
Other values (17) 28
 
15.4%

명칭
Text

Distinct223
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2023-12-11T18:26:04.137937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length7.5839161
Min length2

Characters and Unicode

Total characters2169
Distinct characters299
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique189 ?
Unique (%)66.1%

Sample

1st row대망촬영지
2nd row대왕세종촬영장
3rd row대장금촬영지
4th row대장금촬영지
5th row대장금촬영지
ValueCountFrequency (%)
상도촬영지 5
 
1.7%
서동요촬영지 5
 
1.7%
환상의커플촬영지 5
 
1.7%
엽기적인그녀촬영지 5
 
1.7%
로망스촬영지 4
 
1.4%
대장금촬영지 4
 
1.4%
외출촬영지 3
 
1.0%
마이걸촬영지 3
 
1.0%
순수의시대촬영지 3
 
1.0%
불새촬영지 3
 
1.0%
Other values (213) 246
86.0%
2023-12-11T18:26:04.602709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 234
 
10.8%
촬 207
 
9.5%
지 179
 
8.3%
장 80
 
3.7%
소 36
 
1.7%
마 34
 
1.6%
세 31
 
1.4%
트 30
 
1.4%
라 28
 
1.3%
대 26
 
1.2%
Other values (289) 1284
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2076
95.7%
Uppercase Letter 54
 
2.5%
Other Punctuation 14
 
0.6%
Decimal Number 13
 
0.6%
Open Punctuation 6
 
0.3%
Close Punctuation 6
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 234
 
11.3%
촬 207
 
10.0%
지 179
 
8.6%
장 80
 
3.9%
소 36
 
1.7%
마 34
 
1.6%
세 31
 
1.5%
트 30
 
1.4%
라 28
 
1.3%
대 26
 
1.3%
Other values (263) 1191
57.4%
Uppercase Letter
ValueCountFrequency (%)
S 11
20.4%
B 10
18.5%
M 7
13.0%
C 6
11.1%
A 5
9.3%
Y 4
 
7.4%
K 4
 
7.4%
E 1
 
1.9%
G 1
 
1.9%
J 1
 
1.9%
Other values (4) 4
 
7.4%
Decimal Number
ValueCountFrequency (%)
1 4
30.8%
2 2
15.4%
3 2
15.4%
5 2
15.4%
9 1
 
7.7%
4 1
 
7.7%
0 1
 
7.7%
Open Punctuation
ValueCountFrequency (%)
( 3
50.0%
[ 3
50.0%
Close Punctuation
ValueCountFrequency (%)
) 3
50.0%
] 3
50.0%
Other Punctuation
ValueCountFrequency (%)
' 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2076
95.7%
Latin 54
 
2.5%
Common 39
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 234
 
11.3%
촬 207
 
10.0%
지 179
 
8.6%
장 80
 
3.9%
소 36
 
1.7%
마 34
 
1.6%
세 31
 
1.5%
트 30
 
1.4%
라 28
 
1.3%
대 26
 
1.3%
Other values (263) 1191
57.4%
Latin
ValueCountFrequency (%)
S 11
20.4%
B 10
18.5%
M 7
13.0%
C 6
11.1%
A 5
9.3%
Y 4
 
7.4%
K 4
 
7.4%
E 1
 
1.9%
G 1
 
1.9%
J 1
 
1.9%
Other values (4) 4
 
7.4%
Common
ValueCountFrequency (%)
' 14
35.9%
1 4
 
10.3%
( 3
 
7.7%
) 3
 
7.7%
] 3
 
7.7%
[ 3
 
7.7%
2 2
 
5.1%
3 2
 
5.1%
5 2
 
5.1%
9 1
 
2.6%
Other values (2) 2
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2076
95.7%
ASCII 93
 
4.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 234
 
11.3%
촬 207
 
10.0%
지 179
 
8.6%
장 80
 
3.9%
소 36
 
1.7%
마 34
 
1.6%
세 31
 
1.5%
트 30
 
1.4%
라 28
 
1.3%
대 26
 
1.3%
Other values (263) 1191
57.4%
ASCII
ValueCountFrequency (%)
' 14
15.1%
S 11
11.8%
B 10
 
10.8%
M 7
 
7.5%
C 6
 
6.5%
A 5
 
5.4%
1 4
 
4.3%
Y 4
 
4.3%
K 4
 
4.3%
( 3
 
3.2%
Other values (16) 25
26.9%

행정 시
Categorical

Distinct12
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
<NA>
147 
경기도
20 
경상남도
19 
경상북도
18 
전라남도
17 
Other values (7)
65 

Length

Max length7
Median length4
Mean length4.0874126
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 147
51.4%
경기도 20
 
7.0%
경상남도 19
 
6.6%
경상북도 18
 
6.3%
전라남도 17
 
5.9%
제주특별자치도 16
 
5.6%
강원도 12
 
4.2%
충청북도 10
 
3.5%
전라북도 10
 
3.5%
충청남도 8
 
2.8%
Other values (2) 9
 
3.1%

Length

2023-12-11T18:26:04.817909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 147
51.4%
경기도 20
 
7.0%
경상남도 19
 
6.6%
경상북도 18
 
6.3%
전라남도 17
 
5.9%
제주특별자치도 16
 
5.6%
강원도 12
 
4.2%
충청북도 10
 
3.5%
전라북도 10
 
3.5%
충청남도 8
 
2.8%
Other values (2) 9
 
3.1%

행정 구
Text

MISSING 

Distinct63
Distinct (%)45.3%
Missing147
Missing (%)51.4%
Memory size2.4 KiB
2023-12-11T18:26:05.092724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.3021583
Min length2

Characters and Unicode

Total characters459
Distinct characters81
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

Unique32 ?
Unique (%)23.0%

Sample

1st row구례군
2nd row진천군
3rd row괴산군
4th row제주시
5th row제주시
ValueCountFrequency (%)
남양주시 9
 
6.2%
제주시 9
 
6.2%
서귀포시 7
 
4.8%
산청군 7
 
4.8%
완도군 6
 
4.1%
제천시 6
 
4.1%
평창군 5
 
3.4%
부여군 4
 
2.7%
문경시 4
 
2.7%
남원시 3
 
2.1%
Other values (57) 86
58.9%
2023-12-11T18:26:05.511971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
군 68
 
14.8%
시 66
 
14.4%
주 24
 
5.2%
양 18
 
3.9%
천 17
 
3.7%
제 17
 
3.7%
구 13
 
2.8%
남 13
 
2.8%
산 12
 
2.6%
부 10
 
2.2%
Other values (71) 201
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 452
98.5%
Space Separator 7
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
군 68
 
15.0%
시 66
 
14.6%
주 24
 
5.3%
양 18
 
4.0%
천 17
 
3.8%
제 17
 
3.8%
구 13
 
2.9%
남 13
 
2.9%
산 12
 
2.7%
부 10
 
2.2%
Other values (70) 194
42.9%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 452
98.5%
Common 7
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
군 68
 
15.0%
시 66
 
14.6%
주 24
 
5.3%
양 18
 
4.0%
천 17
 
3.8%
제 17
 
3.8%
구 13
 
2.9%
남 13
 
2.9%
산 12
 
2.7%
부 10
 
2.2%
Other values (70) 194
42.9%
Common
ValueCountFrequency (%)
7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 452
98.5%
ASCII 7
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
군 68
 
15.0%
시 66
 
14.6%
주 24
 
5.3%
양 18
 
4.0%
천 17
 
3.8%
제 17
 
3.8%
구 13
 
2.9%
남 13
 
2.9%
산 12
 
2.7%
부 10
 
2.2%
Other values (70) 194
42.9%
ASCII
ValueCountFrequency (%)
7
100.0%

행정 동
Text

MISSING 

Distinct91
Distinct (%)65.5%
Missing147
Missing (%)51.4%
Memory size2.4 KiB
2023-12-11T18:26:05.787134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0359712
Min length2

Characters and Unicode

Total characters422
Distinct characters102
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

Unique64 ?
Unique (%)46.0%

Sample

1st row토지면
2nd row문백면
3rd row청천면
4th row조천읍
5th row한경면
ValueCountFrequency (%)
조안면 8
 
5.8%
차황면 6
 
4.3%
구좌읍 4
 
2.9%
대관령면 4
 
2.9%
금성면 4
 
2.9%
북도면 3
 
2.2%
충화면 3
 
2.2%
상3동 3
 
2.2%
완도읍 3
 
2.2%
문경읍 3
 
2.2%
Other values (81) 98
70.5%
2023-12-11T18:26:06.274904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
면 90
21.3%
읍 34
 
8.1%
동 22
 
5.2%
산 12
 
2.8%
조 10
 
2.4%
성 8
 
1.9%
부 8
 
1.9%
안 8
 
1.9%
북 7
 
1.7%
도 7
 
1.7%
Other values (92) 216
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 415
98.3%
Decimal Number 7
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 90
21.7%
읍 34
 
8.2%
동 22
 
5.3%
산 12
 
2.9%
조 10
 
2.4%
성 8
 
1.9%
부 8
 
1.9%
안 8
 
1.9%
북 7
 
1.7%
도 7
 
1.7%
Other values (89) 209
50.4%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
3 3
42.9%
2 1
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 415
98.3%
Common 7
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 90
21.7%
읍 34
 
8.2%
동 22
 
5.3%
산 12
 
2.9%
조 10
 
2.4%
성 8
 
1.9%
부 8
 
1.9%
안 8
 
1.9%
북 7
 
1.7%
도 7
 
1.7%
Other values (89) 209
50.4%
Common
ValueCountFrequency (%)
1 3
42.9%
3 3
42.9%
2 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 415
98.3%
ASCII 7
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
면 90
21.7%
읍 34
 
8.2%
동 22
 
5.3%
산 12
 
2.9%
조 10
 
2.4%
성 8
 
1.9%
부 8
 
1.9%
안 8
 
1.9%
북 7
 
1.7%
도 7
 
1.7%
Other values (89) 209
50.4%
ASCII
ValueCountFrequency (%)
1 3
42.9%
3 3
42.9%
2 1
 
14.3%

Correlations

2023-12-11T18:26:06.399401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행정 시행정 구행정 동
행정 시1.0001.0000.999
행정 구1.0001.0001.000
행정 동0.9991.0001.000

Missing values

2023-12-11T18:26:01.517982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T18:26:01.635717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-11T18:26:01.738361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

키분류1분류2분류3검색어명칭행정 시행정 구행정 동
0BE_IW04-0059관광/숙박테마-보호구역영화/드라마/CF 촬영소대망촬영지대망촬영지<NA><NA><NA>
1BE_IW04-0060관광/숙박테마-보호구역영화/드라마/CF 촬영소대왕세종촬영장대왕세종촬영장<NA><NA><NA>
2BE_IW04-0061관광/숙박테마-보호구역영화/드라마/CF 촬영소대장금촬영지대장금촬영지<NA><NA><NA>
3BE_IW04-0062관광/숙박테마-보호구역영화/드라마/CF 촬영소대장금촬영지대장금촬영지<NA><NA><NA>
4BE_IW04-0063관광/숙박테마-보호구역영화/드라마/CF 촬영소대장금촬영지대장금촬영지전라남도구례군토지면
5BE_IW04-0064관광/숙박테마-보호구역영화/드라마/CF 촬영소대장금촬영지대장금촬영지<NA><NA><NA>
6BE_IW04-0065관광/숙박테마-보호구역영화/드라마/CF 촬영소대장금테마파크대장금테마파크<NA><NA><NA>
7BE_IW04-0066관광/숙박테마-보호구역영화/드라마/CF 촬영소대조영촬영장대조영촬영장<NA><NA><NA>
8BE_IW04-0067관광/숙박테마-보호구역영화/드라마/CF 촬영소대추나무사랑/걸렸네촬영장대추나무사랑걸렸네촬영장충청북도진천군문백면
9BE_IW04-0068관광/숙박테마-보호구역영화/드라마/CF 촬영소돌아와요순애씨촬영지돌아와요순애씨촬영지<NA><NA><NA>
키분류1분류2분류3검색어명칭행정 시행정 구행정 동
276BE_IW04-0238관광/숙박테마-보호구역영화/드라마/CF 촬영소춘향뎐/촬영지춘향뎐촬영지전라북도남원시노암동
277BE_IW04-0239관광/숙박테마-보호구역영화/드라마/CF 촬영소취화선/영화촬영지취화선영화촬영지경상남도하동군진교면
278BE_IW04-0240관광/숙박테마-보호구역영화/드라마/CF 촬영소취화선촬영지취화선촬영지전라남도순천시승주읍
279BE_IW04-0241관광/숙박테마-보호구역영화/드라마/CF 촬영소친구/촬영지친구촬영지부산광역시사하구하단1동
280BE_IW04-0242관광/숙박테마-보호구역영화/드라마/CF 촬영소친구촬영지친구촬영지<NA><NA><NA>
281BE_IW04-0243관광/숙박테마-보호구역영화/드라마/CF 촬영소친구촬영지친구촬영지<NA><NA><NA>
282BE_IW04-0244관광/숙박테마-보호구역영화/드라마/CF 촬영소쾌걸춘향/촬영지쾌걸춘향촬영지전라북도남원시노암동
283BE_IW04-0245관광/숙박테마-보호구역영화/드라마/CF 촬영소클래식촬영지클래식촬영지경기도수원시 팔달구행궁동
284BE_IW04-0246관광/숙박테마-보호구역영화/드라마/CF 촬영소클래식촬영지클래식촬영지<NA><NA><NA>
285BE_IW04-0247관광/숙박테마-보호구역영화/드라마/CF 촬영소태극기휘날리며/촬영지태극기휘날리며촬영지경상남도합천군가회면