Overview

Dataset statistics

Number of variables23
Number of observations112
Missing cells2
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory20.3 KiB
Average record size in memory185.2 B

Variable types

Categorical2
Text21

Dataset

Description경기도 용인시 소비자 물가동향입니다. 개인서비스요금, 농산물, 축산물, 수산물 등의 데이터를 제공합니다. ※ 데이터기준일자 : 2023-03-31
URLhttps://www.data.go.kr/data/3035764/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
품목 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:44:05.509229
Analysis finished2023-12-12 12:44:06.057672
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct6
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
개인서비스
51 
농산물
21 
가공식품
18 
공산품
11 
수산물
7 

Length

Max length5
Median length4
Mean length4.0714286
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인서비스 51
45.5%
농산물 21
18.8%
가공식품 18
 
16.1%
공산품 11
 
9.8%
수산물 7
 
6.2%
축산물 4
 
3.6%

Length

2023-12-12T21:44:06.132792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:06.278478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인서비스 51
45.5%
농산물 21
18.8%
가공식품 18
 
16.1%
공산품 11
 
9.8%
수산물 7
 
6.2%
축산물 4
 
3.6%

품목
Text

UNIQUE 

Distinct112
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:06.545120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length3.9375
Min length1

Characters and Unicode

Total characters441
Distinct characters183
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique112 ?
Unique (%)100.0%

Sample

1st row설렁탕
2nd row냉면
3rd row비빔밥
4th row갈비탕
5th row삼계탕
ValueCountFrequency (%)
공동주택관리비 2
 
1.8%
설렁탕 1
 
0.9%
무우 1
 
0.9%
고등어 1
 
0.9%
갈치 1
 
0.9%
재래김 1
 
0.9%
생물오징어 1
 
0.9%
마른명태 1
 
0.9%
조기 1
 
0.9%
닭고기 1
 
0.9%
Other values (103) 103
90.4%
2023-12-12T21:44:07.115893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
료 23
 
5.2%
( 15
 
3.4%
) 15
 
3.4%
용 13
 
2.9%
이 12
 
2.7%
장 9
 
2.0%
식 9
 
2.0%
기 8
 
1.8%
고 8
 
1.8%
비 8
 
1.8%
Other values (173) 321
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 407
92.3%
Open Punctuation 15
 
3.4%
Close Punctuation 15
 
3.4%
Space Separator 2
 
0.5%
Lowercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
료 23
 
5.7%
용 13
 
3.2%
이 12
 
2.9%
장 9
 
2.2%
식 9
 
2.2%
기 8
 
2.0%
고 8
 
2.0%
비 8
 
2.0%
외 8
 
2.0%
주 7
 
1.7%
Other values (168) 302
74.2%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 407
92.3%
Common 32
 
7.3%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
료 23
 
5.7%
용 13
 
3.2%
이 12
 
2.9%
장 9
 
2.2%
식 9
 
2.2%
기 8
 
2.0%
고 8
 
2.0%
비 8
 
2.0%
외 8
 
2.0%
주 7
 
1.7%
Other values (168) 302
74.2%
Common
ValueCountFrequency (%)
( 15
46.9%
) 15
46.9%
2
 
6.2%
Latin
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 407
92.3%
ASCII 34
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
료 23
 
5.7%
용 13
 
3.2%
이 12
 
2.9%
장 9
 
2.2%
식 9
 
2.2%
기 8
 
2.0%
고 8
 
2.0%
비 8
 
2.0%
외 8
 
2.0%
주 7
 
1.7%
Other values (168) 302
74.2%
ASCII
ValueCountFrequency (%)
( 15
44.1%
) 15
44.1%
2
 
5.9%
c 1
 
2.9%
p 1
 
2.9%

규격 및 단위
Text

Distinct99
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:07.383675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length10.464286
Min length2

Characters and Unicode

Total characters1172
Distinct characters258
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique94 ?
Unique (%)83.9%

Sample

1st row1인분
2nd row1인분/물냉면
3rd row1인분
4th row1인분
5th row1인분
ValueCountFrequency (%)
1인분 8
 
4.3%
1kg 4
 
2.2%
100g 4
 
2.2%
1회 4
 
2.2%
성인 4
 
2.2%
1개 4
 
2.2%
1그릇 3
 
1.6%
중류급 3
 
1.6%
1잔 3
 
1.6%
불고기 2
 
1.1%
Other values (136) 145
78.8%
2023-12-12T21:44:08.103902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 105
 
9.0%
73
 
6.2%
0 71
 
6.1%
g 40
 
3.4%
) 35
 
3.0%
( 35
 
3.0%
인 28
 
2.4%
5 25
 
2.1%
/ 22
 
1.9%
분 19
 
1.6%
Other values (248) 719
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 640
54.6%
Decimal Number 252
 
21.5%
Lowercase Letter 79
 
6.7%
Space Separator 73
 
6.2%
Other Punctuation 42
 
3.6%
Close Punctuation 35
 
3.0%
Open Punctuation 35
 
3.0%
Uppercase Letter 12
 
1.0%
Math Symbol 3
 
0.3%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 28
 
4.4%
분 19
 
3.0%
개 17
 
2.7%
기 17
 
2.7%
일 13
 
2.0%
리 13
 
2.0%
제 12
 
1.9%
이 10
 
1.6%
고 10
 
1.6%
반 9
 
1.4%
Other values (215) 492
76.9%
Decimal Number
ValueCountFrequency (%)
1 105
41.7%
0 71
28.2%
5 25
 
9.9%
2 17
 
6.7%
6 11
 
4.4%
3 11
 
4.4%
4 8
 
3.2%
8 3
 
1.2%
9 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
L 5
41.7%
D 2
 
16.7%
F 1
 
8.3%
G 1
 
8.3%
O 1
 
8.3%
X 1
 
8.3%
V 1
 
8.3%
Lowercase Letter
ValueCountFrequency (%)
g 40
50.6%
k 15
 
19.0%
m 11
 
13.9%
c 7
 
8.9%
l 4
 
5.1%
p 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
/ 22
52.4%
, 11
26.2%
. 6
 
14.3%
: 1
 
2.4%
* 1
 
2.4%
% 1
 
2.4%
Space Separator
ValueCountFrequency (%)
73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 640
54.6%
Common 441
37.6%
Latin 91
 
7.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 28
 
4.4%
분 19
 
3.0%
개 17
 
2.7%
기 17
 
2.7%
일 13
 
2.0%
리 13
 
2.0%
제 12
 
1.9%
이 10
 
1.6%
고 10
 
1.6%
반 9
 
1.4%
Other values (215) 492
76.9%
Common
ValueCountFrequency (%)
1 105
23.8%
73
16.6%
0 71
16.1%
) 35
 
7.9%
( 35
 
7.9%
5 25
 
5.7%
/ 22
 
5.0%
2 17
 
3.9%
, 11
 
2.5%
6 11
 
2.5%
Other values (10) 36
 
8.2%
Latin
ValueCountFrequency (%)
g 40
44.0%
k 15
 
16.5%
m 11
 
12.1%
c 7
 
7.7%
L 5
 
5.5%
l 4
 
4.4%
D 2
 
2.2%
p 2
 
2.2%
F 1
 
1.1%
G 1
 
1.1%
Other values (3) 3
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 640
54.6%
ASCII 532
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 105
19.7%
73
13.7%
0 71
13.3%
g 40
 
7.5%
) 35
 
6.6%
( 35
 
6.6%
5 25
 
4.7%
/ 22
 
4.1%
2 17
 
3.2%
k 15
 
2.8%
Other values (23) 94
17.7%
Hangul
ValueCountFrequency (%)
인 28
 
4.4%
분 19
 
3.0%
개 17
 
2.7%
기 17
 
2.7%
일 13
 
2.0%
리 13
 
2.0%
제 12
 
1.9%
이 10
 
1.6%
고 10
 
1.6%
반 9
 
1.4%
Other values (215) 492
76.9%

중앙동
Text

Distinct88
Distinct (%)78.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:08.441426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters560
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)66.1%

Sample

1st row6500
2nd row5500
3rd row5000
4th row6500
5th row12000
ValueCountFrequency (%)
5500 3
 
2.9%
3000 3
 
2.9%
6000 3
 
2.9%
1980 2
 
1.9%
6500 2
 
1.9%
1847 2
 
1.9%
2980 2
 
1.9%
3250 2
 
1.9%
14000 2
 
1.9%
2500 2
 
1.9%
Other values (77) 80
77.7%
2023-12-12T21:44:08.923604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 178
31.8%
121
21.6%
5 40
 
7.1%
3 39
 
7.0%
1 39
 
7.0%
8 33
 
5.9%
2 27
 
4.8%
7 27
 
4.8%
4 25
 
4.5%
6 17
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 439
78.4%
Space Separator 121
 
21.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 178
40.5%
5 40
 
9.1%
3 39
 
8.9%
1 39
 
8.9%
8 33
 
7.5%
2 27
 
6.2%
7 27
 
6.2%
4 25
 
5.7%
6 17
 
3.9%
9 14
 
3.2%
Space Separator
ValueCountFrequency (%)
121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 560
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 178
31.8%
121
21.6%
5 40
 
7.1%
3 39
 
7.0%
1 39
 
7.0%
8 33
 
5.9%
2 27
 
4.8%
7 27
 
4.8%
4 25
 
4.5%
6 17
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 178
31.8%
121
21.6%
5 40
 
7.1%
3 39
 
7.0%
1 39
 
7.0%
8 33
 
5.9%
2 27
 
4.8%
7 27
 
4.8%
4 25
 
4.5%
6 17
 
3.0%

역삼동
Text

Distinct90
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:09.274174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.9017857
Min length2

Characters and Unicode

Total characters549
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)75.0%

Sample

1st row7000
2nd row5000
3rd row4750
4th row8000
5th row11000
ValueCountFrequency (%)
10000 5
 
5.0%
5000 4
 
4.0%
4750 3
 
3.0%
7700 2
 
2.0%
3000 2
 
2.0%
4153 1
 
1.0%
12800 1
 
1.0%
2520 1
 
1.0%
24200 1
 
1.0%
4960 1
 
1.0%
Other values (79) 79
79.0%
2023-12-12T21:44:09.720028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 166
30.2%
124
22.6%
1 50
 
9.1%
2 36
 
6.6%
5 34
 
6.2%
3 32
 
5.8%
7 29
 
5.3%
4 22
 
4.0%
9 19
 
3.5%
6 19
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 425
77.4%
Space Separator 124
 
22.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 166
39.1%
1 50
 
11.8%
2 36
 
8.5%
5 34
 
8.0%
3 32
 
7.5%
7 29
 
6.8%
4 22
 
5.2%
9 19
 
4.5%
6 19
 
4.5%
8 18
 
4.2%
Space Separator
ValueCountFrequency (%)
124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 549
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 166
30.2%
124
22.6%
1 50
 
9.1%
2 36
 
6.6%
5 34
 
6.2%
3 32
 
5.8%
7 29
 
5.3%
4 22
 
4.0%
9 19
 
3.5%
6 19
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 166
30.2%
124
22.6%
1 50
 
9.1%
2 36
 
6.6%
5 34
 
6.2%
3 32
 
5.8%
7 29
 
5.3%
4 22
 
4.0%
9 19
 
3.5%
6 19
 
3.5%

포곡읍
Text

Distinct70
Distinct (%)62.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:09.963761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.6607143
Min length2

Characters and Unicode

Total characters522
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)53.6%

Sample

1st row6000
2nd row5000
3rd row5000
4th row7000
5th row12000
ValueCountFrequency (%)
5000 6
 
6.6%
12000 6
 
6.6%
6000 4
 
4.4%
3000 4
 
4.4%
7000 3
 
3.3%
20000 2
 
2.2%
1980 2
 
2.2%
10000 2
 
2.2%
35000 2
 
2.2%
6980 1
 
1.1%
Other values (59) 59
64.8%
2023-12-12T21:44:10.313904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 183
35.1%
133
25.5%
1 37
 
7.1%
3 26
 
5.0%
8 26
 
5.0%
5 25
 
4.8%
2 24
 
4.6%
7 21
 
4.0%
4 17
 
3.3%
6 15
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 389
74.5%
Space Separator 133
 
25.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 183
47.0%
1 37
 
9.5%
3 26
 
6.7%
8 26
 
6.7%
5 25
 
6.4%
2 24
 
6.2%
7 21
 
5.4%
4 17
 
4.4%
6 15
 
3.9%
9 15
 
3.9%
Space Separator
ValueCountFrequency (%)
133
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 522
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 183
35.1%
133
25.5%
1 37
 
7.1%
3 26
 
5.0%
8 26
 
5.0%
5 25
 
4.8%
2 24
 
4.6%
7 21
 
4.0%
4 17
 
3.3%
6 15
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 522
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 183
35.1%
133
25.5%
1 37
 
7.1%
3 26
 
5.0%
8 26
 
5.0%
5 25
 
4.8%
2 24
 
4.6%
7 21
 
4.0%
4 17
 
3.3%
6 15
 
2.9%

모현면
Text

Distinct81
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:10.562770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.6964286
Min length2

Characters and Unicode

Total characters526
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique69 ?
Unique (%)61.6%

Sample

1st row8000
2nd row5000
3rd row5000
4th row7500
5th row10000
ValueCountFrequency (%)
2000 4
 
4.2%
5000 3
 
3.2%
10000 3
 
3.2%
11000 2
 
2.1%
3000 2
 
2.1%
6500 2
 
2.1%
7500 2
 
2.1%
7450 2
 
2.1%
4500 2
 
2.1%
750 2
 
2.1%
Other values (70) 71
74.7%
2023-12-12T21:44:10.939575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 149
28.3%
129
24.5%
5 54
 
10.3%
1 38
 
7.2%
3 33
 
6.3%
2 32
 
6.1%
7 32
 
6.1%
4 19
 
3.6%
6 19
 
3.6%
9 11
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 397
75.5%
Space Separator 129
 
24.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 149
37.5%
5 54
 
13.6%
1 38
 
9.6%
3 33
 
8.3%
2 32
 
8.1%
7 32
 
8.1%
4 19
 
4.8%
6 19
 
4.8%
9 11
 
2.8%
8 10
 
2.5%
Space Separator
ValueCountFrequency (%)
129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 526
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 149
28.3%
129
24.5%
5 54
 
10.3%
1 38
 
7.2%
3 33
 
6.3%
2 32
 
6.1%
7 32
 
6.1%
4 19
 
3.6%
6 19
 
3.6%
9 11
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 526
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 149
28.3%
129
24.5%
5 54
 
10.3%
1 38
 
7.2%
3 33
 
6.3%
2 32
 
6.1%
7 32
 
6.1%
4 19
 
3.6%
6 19
 
3.6%
9 11
 
2.1%

원삼면
Text

Distinct67
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:11.181398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.4464286
Min length2

Characters and Unicode

Total characters498
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)46.4%

Sample

1st row6000
2nd row5500
3rd row6000
4th row6500
5th row12500
ValueCountFrequency (%)
6000 4
 
4.6%
2000 3
 
3.4%
1800 3
 
3.4%
12000 3
 
3.4%
6500 3
 
3.4%
2500 3
 
3.4%
7800 2
 
2.3%
1000 2
 
2.3%
1600 2
 
2.3%
1500 2
 
2.3%
Other values (56) 60
69.0%
2023-12-12T21:44:11.563978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 171
34.3%
137
27.5%
1 33
 
6.6%
2 29
 
5.8%
3 27
 
5.4%
5 26
 
5.2%
7 25
 
5.0%
6 20
 
4.0%
8 17
 
3.4%
9 9
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 361
72.5%
Space Separator 137
 
27.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 171
47.4%
1 33
 
9.1%
2 29
 
8.0%
3 27
 
7.5%
5 26
 
7.2%
7 25
 
6.9%
6 20
 
5.5%
8 17
 
4.7%
9 9
 
2.5%
4 4
 
1.1%
Space Separator
ValueCountFrequency (%)
137
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 498
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 171
34.3%
137
27.5%
1 33
 
6.6%
2 29
 
5.8%
3 27
 
5.4%
5 26
 
5.2%
7 25
 
5.0%
6 20
 
4.0%
8 17
 
3.4%
9 9
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 498
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 171
34.3%
137
27.5%
1 33
 
6.6%
2 29
 
5.8%
3 27
 
5.4%
5 26
 
5.2%
7 25
 
5.0%
6 20
 
4.0%
8 17
 
3.4%
9 9
 
1.8%

이동면
Text

Distinct75
Distinct (%)67.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:11.813514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.7142857
Min length2

Characters and Unicode

Total characters528
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)56.2%

Sample

1st row7000
2nd row4667
3rd row
4th row7500
5th row10000
ValueCountFrequency (%)
2500 6
 
6.3%
10000 3
 
3.2%
6000 3
 
3.2%
5000 3
 
3.2%
1200 3
 
3.2%
11000 3
 
3.2%
7000 3
 
3.2%
3500 2
 
2.1%
20000 2
 
2.1%
2300 2
 
2.1%
Other values (64) 65
68.4%
2023-12-12T21:44:12.205407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 168
31.8%
129
24.4%
1 39
 
7.4%
5 36
 
6.8%
3 36
 
6.8%
7 31
 
5.9%
2 29
 
5.5%
6 27
 
5.1%
4 15
 
2.8%
8 11
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 399
75.6%
Space Separator 129
 
24.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 168
42.1%
1 39
 
9.8%
5 36
 
9.0%
3 36
 
9.0%
7 31
 
7.8%
2 29
 
7.3%
6 27
 
6.8%
4 15
 
3.8%
8 11
 
2.8%
9 7
 
1.8%
Space Separator
ValueCountFrequency (%)
129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 528
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 168
31.8%
129
24.4%
1 39
 
7.4%
5 36
 
6.8%
3 36
 
6.8%
7 31
 
5.9%
2 29
 
5.5%
6 27
 
5.1%
4 15
 
2.8%
8 11
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 528
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 168
31.8%
129
24.4%
1 39
 
7.4%
5 36
 
6.8%
3 36
 
6.8%
7 31
 
5.9%
2 29
 
5.5%
6 27
 
5.1%
4 15
 
2.8%
8 11
 
2.1%

양지면
Text

Distinct74
Distinct (%)66.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:12.481001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.625
Min length2

Characters and Unicode

Total characters518
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)55.4%

Sample

1st row7000
2nd row6000
3rd row6000
4th row7000
5th row9000
ValueCountFrequency (%)
15000 5
 
5.4%
7000 4
 
4.3%
10000 4
 
4.3%
6000 3
 
3.3%
3200 2
 
2.2%
5000 2
 
2.2%
1500 2
 
2.2%
7800 2
 
2.2%
1000 2
 
2.2%
6500 2
 
2.2%
Other values (63) 64
69.6%
2023-12-12T21:44:12.883358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 177
34.2%
132
25.5%
5 35
 
6.8%
1 33
 
6.4%
2 31
 
6.0%
6 26
 
5.0%
3 21
 
4.1%
7 18
 
3.5%
4 18
 
3.5%
8 15
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 386
74.5%
Space Separator 132
 
25.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 177
45.9%
5 35
 
9.1%
1 33
 
8.5%
2 31
 
8.0%
6 26
 
6.7%
3 21
 
5.4%
7 18
 
4.7%
4 18
 
4.7%
8 15
 
3.9%
9 12
 
3.1%
Space Separator
ValueCountFrequency (%)
132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 518
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 177
34.2%
132
25.5%
5 35
 
6.8%
1 33
 
6.4%
2 31
 
6.0%
6 26
 
5.0%
3 21
 
4.1%
7 18
 
3.5%
4 18
 
3.5%
8 15
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 518
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 177
34.2%
132
25.5%
5 35
 
6.8%
1 33
 
6.4%
2 31
 
6.0%
6 26
 
5.0%
3 21
 
4.1%
7 18
 
3.5%
4 18
 
3.5%
8 15
 
2.9%

유림동
Text

Distinct69
Distinct (%)61.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:13.146694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.6160714
Min length2

Characters and Unicode

Total characters517
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)45.5%

Sample

1st row
2nd row5000
3rd row4000
4th row7000
5th row
ValueCountFrequency (%)
2000 5
 
5.4%
6000 3
 
3.3%
800 3
 
3.3%
5000 3
 
3.3%
5250 3
 
3.3%
9000 2
 
2.2%
1000 2
 
2.2%
3500 2
 
2.2%
3400 2
 
2.2%
3600 2
 
2.2%
Other values (58) 65
70.7%
2023-12-12T21:44:13.539963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 192
37.1%
132
25.5%
1 39
 
7.5%
5 36
 
7.0%
3 28
 
5.4%
2 23
 
4.4%
8 16
 
3.1%
7 15
 
2.9%
6 14
 
2.7%
4 12
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 385
74.5%
Space Separator 132
 
25.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 192
49.9%
1 39
 
10.1%
5 36
 
9.4%
3 28
 
7.3%
2 23
 
6.0%
8 16
 
4.2%
7 15
 
3.9%
6 14
 
3.6%
4 12
 
3.1%
9 10
 
2.6%
Space Separator
ValueCountFrequency (%)
132
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 517
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 192
37.1%
132
25.5%
1 39
 
7.5%
5 36
 
7.0%
3 28
 
5.4%
2 23
 
4.4%
8 16
 
3.1%
7 15
 
2.9%
6 14
 
2.7%
4 12
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 517
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 192
37.1%
132
25.5%
1 39
 
7.5%
5 36
 
7.0%
3 28
 
5.4%
2 23
 
4.4%
8 16
 
3.1%
7 15
 
2.9%
6 14
 
2.7%
4 12
 
2.3%

동부동
Text

Distinct72
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:13.817405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5.0178571
Min length2

Characters and Unicode

Total characters562
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)48.2%

Sample

1st row7000
2nd row4500
3rd row6000
4th row7000
5th row11000
ValueCountFrequency (%)
6000 6
 
5.8%
10000 4
 
3.8%
4000 4
 
3.8%
2500 4
 
3.8%
13000 4
 
3.8%
9000 4
 
3.8%
7000 3
 
2.9%
5000 3
 
2.9%
20000 2
 
1.9%
2200 2
 
1.9%
Other values (61) 68
65.4%
2023-12-12T21:44:14.293347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 237
42.2%
120
21.4%
5 48
 
8.5%
1 38
 
6.8%
2 29
 
5.2%
3 23
 
4.1%
6 18
 
3.2%
7 16
 
2.8%
4 13
 
2.3%
9 12
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 442
78.6%
Space Separator 120
 
21.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 237
53.6%
5 48
 
10.9%
1 38
 
8.6%
2 29
 
6.6%
3 23
 
5.2%
6 18
 
4.1%
7 16
 
3.6%
4 13
 
2.9%
9 12
 
2.7%
8 8
 
1.8%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 562
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 237
42.2%
120
21.4%
5 48
 
8.5%
1 38
 
6.8%
2 29
 
5.2%
3 23
 
4.1%
6 18
 
3.2%
7 16
 
2.8%
4 13
 
2.3%
9 12
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 562
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 237
42.2%
120
21.4%
5 48
 
8.5%
1 38
 
6.8%
2 29
 
5.2%
3 23
 
4.1%
6 18
 
3.2%
7 16
 
2.8%
4 13
 
2.3%
9 12
 
2.1%

신갈동
Text

Distinct91
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:14.570896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.9285714
Min length2

Characters and Unicode

Total characters552
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique81 ?
Unique (%)72.3%

Sample

1st row7000
2nd row6000
3rd row5500
4th row7500
5th row11500
ValueCountFrequency (%)
8000 3
 
2.9%
5500 3
 
2.9%
3000 3
 
2.9%
3300 2
 
2.0%
1500 2
 
2.0%
5250 2
 
2.0%
5000 2
 
2.0%
11500 2
 
2.0%
15000 2
 
2.0%
24200 1
 
1.0%
Other values (80) 80
78.4%
2023-12-12T21:44:15.021093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 172
31.2%
122
22.1%
5 45
 
8.2%
1 40
 
7.2%
3 34
 
6.2%
2 34
 
6.2%
8 27
 
4.9%
6 27
 
4.9%
7 19
 
3.4%
4 17
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
77.9%
Space Separator 122
 
22.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 172
40.0%
5 45
 
10.5%
1 40
 
9.3%
3 34
 
7.9%
2 34
 
7.9%
8 27
 
6.3%
6 27
 
6.3%
7 19
 
4.4%
4 17
 
4.0%
9 15
 
3.5%
Space Separator
ValueCountFrequency (%)
122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 172
31.2%
122
22.1%
5 45
 
8.2%
1 40
 
7.2%
3 34
 
6.2%
2 34
 
6.2%
8 27
 
4.9%
6 27
 
4.9%
7 19
 
3.4%
4 17
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 172
31.2%
122
22.1%
5 45
 
8.2%
1 40
 
7.2%
3 34
 
6.2%
2 34
 
6.2%
8 27
 
4.9%
6 27
 
4.9%
7 19
 
3.4%
4 17
 
3.1%

마북동
Text

Distinct85
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:15.295638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length5
Min length2

Characters and Unicode

Total characters560
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)63.4%

Sample

1st row7000
2nd row5000
3rd row5000
4th row6750
5th row10000
ValueCountFrequency (%)
6000 7
 
6.7%
5000 3
 
2.9%
10000 3
 
2.9%
3500 2
 
1.9%
8500 2
 
1.9%
1500 2
 
1.9%
4000 2
 
1.9%
3000 2
 
1.9%
1250 2
 
1.9%
6300 2
 
1.9%
Other values (74) 77
74.0%
2023-12-12T21:44:15.737130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 199
35.5%
120
21.4%
1 45
 
8.0%
5 40
 
7.1%
3 33
 
5.9%
7 29
 
5.2%
2 28
 
5.0%
6 25
 
4.5%
4 17
 
3.0%
8 13
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 440
78.6%
Space Separator 120
 
21.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 199
45.2%
1 45
 
10.2%
5 40
 
9.1%
3 33
 
7.5%
7 29
 
6.6%
2 28
 
6.4%
6 25
 
5.7%
4 17
 
3.9%
8 13
 
3.0%
9 11
 
2.5%
Space Separator
ValueCountFrequency (%)
120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 560
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 199
35.5%
120
21.4%
1 45
 
8.0%
5 40
 
7.1%
3 33
 
5.9%
7 29
 
5.2%
2 28
 
5.0%
6 25
 
4.5%
4 17
 
3.0%
8 13
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 560
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 199
35.5%
120
21.4%
1 45
 
8.0%
5 40
 
7.1%
3 33
 
5.9%
7 29
 
5.2%
2 28
 
5.0%
6 25
 
4.5%
4 17
 
3.0%
8 13
 
2.3%

동백동
Text

Distinct96
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:16.035947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length5.0625
Min length2

Characters and Unicode

Total characters567
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)77.7%

Sample

1st row7000
2nd row6000
3rd row5000
4th row8500
5th row12000
ValueCountFrequency (%)
6000 3
 
2.8%
5000 3
 
2.8%
11500 3
 
2.8%
7000 2
 
1.9%
1000 2
 
1.9%
2500 2
 
1.9%
3000 2
 
1.9%
7700 2
 
1.9%
6980 1
 
0.9%
10080 1
 
0.9%
Other values (85) 85
80.2%
2023-12-12T21:44:16.474558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 187
33.0%
118
20.8%
1 46
 
8.1%
5 40
 
7.1%
3 33
 
5.8%
7 28
 
4.9%
8 28
 
4.9%
2 27
 
4.8%
4 25
 
4.4%
6 20
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 449
79.2%
Space Separator 118
 
20.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 187
41.6%
1 46
 
10.2%
5 40
 
8.9%
3 33
 
7.3%
7 28
 
6.2%
8 28
 
6.2%
2 27
 
6.0%
4 25
 
5.6%
6 20
 
4.5%
9 15
 
3.3%
Space Separator
ValueCountFrequency (%)
118
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 567
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 187
33.0%
118
20.8%
1 46
 
8.1%
5 40
 
7.1%
3 33
 
5.8%
7 28
 
4.9%
8 28
 
4.9%
2 27
 
4.8%
4 25
 
4.4%
6 20
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 567
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 187
33.0%
118
20.8%
1 46
 
8.1%
5 40
 
7.1%
3 33
 
5.8%
7 28
 
4.9%
8 28
 
4.9%
2 27
 
4.8%
4 25
 
4.4%
6 20
 
3.5%

보정동
Text

Distinct83
Distinct (%)74.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:16.732463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.9285714
Min length2

Characters and Unicode

Total characters552
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)64.3%

Sample

1st row6000
2nd row6000
3rd row5250
4th row5500
5th row15500
ValueCountFrequency (%)
10000 5
 
5.0%
4000 3
 
3.0%
5500 3
 
3.0%
17000 3
 
3.0%
12000 3
 
3.0%
6000 3
 
3.0%
5250 2
 
2.0%
3500 2
 
2.0%
15000 2
 
2.0%
15500 2
 
2.0%
Other values (72) 72
72.0%
2023-12-12T21:44:17.137244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 166
30.1%
124
22.5%
5 49
 
8.9%
1 48
 
8.7%
7 38
 
6.9%
3 33
 
6.0%
6 27
 
4.9%
2 27
 
4.9%
8 19
 
3.4%
4 16
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 428
77.5%
Space Separator 124
 
22.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 166
38.8%
5 49
 
11.4%
1 48
 
11.2%
7 38
 
8.9%
3 33
 
7.7%
6 27
 
6.3%
2 27
 
6.3%
8 19
 
4.4%
4 16
 
3.7%
9 5
 
1.2%
Space Separator
ValueCountFrequency (%)
124
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 166
30.1%
124
22.5%
5 49
 
8.9%
1 48
 
8.7%
7 38
 
6.9%
3 33
 
6.0%
6 27
 
4.9%
2 27
 
4.9%
8 19
 
3.4%
4 16
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 166
30.1%
124
22.5%
5 49
 
8.9%
1 48
 
8.7%
7 38
 
6.9%
3 33
 
6.0%
6 27
 
4.9%
2 27
 
4.9%
8 19
 
3.4%
4 16
 
2.9%

상하동
Text

Distinct85
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:17.428158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.7321429
Min length2

Characters and Unicode

Total characters530
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)69.6%

Sample

1st row6000
2nd row6000
3rd row5000
4th row10000
5th row11000
ValueCountFrequency (%)
5000 4
 
4.2%
6000 4
 
4.2%
10000 3
 
3.2%
3000 2
 
2.1%
2500 2
 
2.1%
6600 2
 
2.1%
8900 1
 
1.1%
2520 1
 
1.1%
22200 1
 
1.1%
4840 1
 
1.1%
Other values (74) 74
77.9%
2023-12-12T21:44:17.877997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 161
30.4%
129
24.3%
1 40
 
7.5%
3 36
 
6.8%
2 31
 
5.8%
5 28
 
5.3%
6 26
 
4.9%
7 25
 
4.7%
8 20
 
3.8%
4 19
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 401
75.7%
Space Separator 129
 
24.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 161
40.1%
1 40
 
10.0%
3 36
 
9.0%
2 31
 
7.7%
5 28
 
7.0%
6 26
 
6.5%
7 25
 
6.2%
8 20
 
5.0%
4 19
 
4.7%
9 15
 
3.7%
Space Separator
ValueCountFrequency (%)
129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 530
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 161
30.4%
129
24.3%
1 40
 
7.5%
3 36
 
6.8%
2 31
 
5.8%
5 28
 
5.3%
6 26
 
4.9%
7 25
 
4.7%
8 20
 
3.8%
4 19
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 530
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 161
30.4%
129
24.3%
1 40
 
7.5%
3 36
 
6.8%
2 31
 
5.8%
5 28
 
5.3%
6 26
 
4.9%
7 25
 
4.7%
8 20
 
3.8%
4 19
 
3.6%

상갈동
Text

Distinct81
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:18.157741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.7053571
Min length2

Characters and Unicode

Total characters527
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)62.5%

Sample

1st row7000
2nd row5500
3rd row4750
4th row6500
5th row
ValueCountFrequency (%)
4750 4
 
4.2%
7000 4
 
4.2%
4000 3
 
3.2%
7700 2
 
2.1%
1500 2
 
2.1%
4980 2
 
2.1%
8000 2
 
2.1%
1080 2
 
2.1%
12000 2
 
2.1%
2500 2
 
2.1%
Other values (70) 70
73.7%
2023-12-12T21:44:18.548451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 154
29.2%
129
24.5%
1 38
 
7.2%
2 36
 
6.8%
7 34
 
6.5%
5 30
 
5.7%
3 27
 
5.1%
4 24
 
4.6%
8 24
 
4.6%
6 16
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 398
75.5%
Space Separator 129
 
24.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 154
38.7%
1 38
 
9.5%
2 36
 
9.0%
7 34
 
8.5%
5 30
 
7.5%
3 27
 
6.8%
4 24
 
6.0%
8 24
 
6.0%
6 16
 
4.0%
9 15
 
3.8%
Space Separator
ValueCountFrequency (%)
129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 527
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 154
29.2%
129
24.5%
1 38
 
7.2%
2 36
 
6.8%
7 34
 
6.5%
5 30
 
5.7%
3 27
 
5.1%
4 24
 
4.6%
8 24
 
4.6%
6 16
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 527
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 154
29.2%
129
24.5%
1 38
 
7.2%
2 36
 
6.8%
7 34
 
6.5%
5 30
 
5.7%
3 27
 
5.1%
4 24
 
4.6%
8 24
 
4.6%
6 16
 
3.0%

죽전동
Text

Distinct92
Distinct (%)82.9%
Missing1
Missing (%)0.9%
Memory size1.0 KiB
2023-12-12T21:44:18.830180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length5
Mean length4.9279279
Min length2

Characters and Unicode

Total characters547
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)73.9%

Sample

1st row7000
2nd row5500
3rd row5000
4th row8167
5th row10000
ValueCountFrequency (%)
10000 3
 
3.0%
2347 2
 
2.0%
3000 2
 
2.0%
2750 2
 
2.0%
9000 2
 
2.0%
4750 2
 
2.0%
5000 2
 
2.0%
15000 2
 
2.0%
6000 2
 
2.0%
24267 1
 
1.0%
Other values (81) 81
80.2%
2023-12-12T21:44:19.248148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 132
24.1%
121
22.1%
1 50
 
9.1%
3 47
 
8.6%
2 33
 
6.0%
7 33
 
6.0%
5 32
 
5.9%
4 29
 
5.3%
8 27
 
4.9%
6 26
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 426
77.9%
Space Separator 121
 
22.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 132
31.0%
1 50
 
11.7%
3 47
 
11.0%
2 33
 
7.7%
7 33
 
7.7%
5 32
 
7.5%
4 29
 
6.8%
8 27
 
6.3%
6 26
 
6.1%
9 17
 
4.0%
Space Separator
ValueCountFrequency (%)
121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 547
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 132
24.1%
121
22.1%
1 50
 
9.1%
3 47
 
8.6%
2 33
 
6.0%
7 33
 
6.0%
5 32
 
5.9%
4 29
 
5.3%
8 27
 
4.9%
6 26
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 547
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 132
24.1%
121
22.1%
1 50
 
9.1%
3 47
 
8.6%
2 33
 
6.0%
7 33
 
6.0%
5 32
 
5.9%
4 29
 
5.3%
8 27
 
4.9%
6 26
 
4.8%

상현동
Text

Distinct80
Distinct (%)71.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:19.546019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.9107143
Min length2

Characters and Unicode

Total characters550
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)58.0%

Sample

1st row7000
2nd row4000
3rd row6000
4th row7250
5th row12500
ValueCountFrequency (%)
6000 4
 
4.0%
4000 4
 
4.0%
5500 4
 
4.0%
12500 3
 
3.0%
1500 3
 
3.0%
4500 2
 
2.0%
7000 2
 
2.0%
2480 2
 
2.0%
1000 2
 
2.0%
1430 2
 
2.0%
Other values (69) 73
72.3%
2023-12-12T21:44:19.964490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 179
32.5%
123
22.4%
1 42
 
7.6%
5 40
 
7.3%
2 39
 
7.1%
7 28
 
5.1%
3 26
 
4.7%
4 23
 
4.2%
8 20
 
3.6%
6 18
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 427
77.6%
Space Separator 123
 
22.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 179
41.9%
1 42
 
9.8%
5 40
 
9.4%
2 39
 
9.1%
7 28
 
6.6%
3 26
 
6.1%
4 23
 
5.4%
8 20
 
4.7%
6 18
 
4.2%
9 12
 
2.8%
Space Separator
ValueCountFrequency (%)
123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 550
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 179
32.5%
123
22.4%
1 42
 
7.6%
5 40
 
7.3%
2 39
 
7.1%
7 28
 
5.1%
3 26
 
4.7%
4 23
 
4.2%
8 20
 
3.6%
6 18
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 550
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 179
32.5%
123
22.4%
1 42
 
7.6%
5 40
 
7.3%
2 39
 
7.1%
7 28
 
5.1%
3 26
 
4.7%
4 23
 
4.2%
8 20
 
3.6%
6 18
 
3.3%

풍덕천동
Text

Distinct69
Distinct (%)62.2%
Missing1
Missing (%)0.9%
Memory size1.0 KiB
2023-12-12T21:44:20.229821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length5
Mean length4.8288288
Min length2

Characters and Unicode

Total characters536
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique53 ?
Unique (%)47.7%

Sample

1st row5500
2nd row5500
3rd row4750
4th row5500
5th row
ValueCountFrequency (%)
12000 5
 
5.2%
2500 5
 
5.2%
5500 4
 
4.1%
4750 4
 
4.1%
8000 3
 
3.1%
2100 3
 
3.1%
2000 3
 
3.1%
4500 3
 
3.1%
15000 2
 
2.1%
2800 2
 
2.1%
Other values (58) 63
64.9%
2023-12-12T21:44:20.575245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 176
32.8%
125
23.3%
5 53
 
9.9%
1 43
 
8.0%
2 30
 
5.6%
7 27
 
5.0%
3 26
 
4.9%
6 20
 
3.7%
8 18
 
3.4%
4 14
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 411
76.7%
Space Separator 125
 
23.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 176
42.8%
5 53
 
12.9%
1 43
 
10.5%
2 30
 
7.3%
7 27
 
6.6%
3 26
 
6.3%
6 20
 
4.9%
8 18
 
4.4%
4 14
 
3.4%
9 4
 
1.0%
Space Separator
ValueCountFrequency (%)
125
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 536
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 176
32.8%
125
23.3%
5 53
 
9.9%
1 43
 
8.0%
2 30
 
5.6%
7 27
 
5.0%
3 26
 
4.9%
6 20
 
3.7%
8 18
 
3.4%
4 14
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 536
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 176
32.8%
125
23.3%
5 53
 
9.9%
1 43
 
8.0%
2 30
 
5.6%
7 27
 
5.0%
3 26
 
4.9%
6 20
 
3.7%
8 18
 
3.4%
4 14
 
2.6%

성복동
Text

Distinct73
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-12T21:44:20.844158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6.5
Mean length4.4196429
Min length2

Characters and Unicode

Total characters495
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)57.1%

Sample

1st row7000
2nd row4250
3rd row4500
4th row7000
5th row13000
ValueCountFrequency (%)
7000 4
 
4.8%
5000 3
 
3.6%
2500 2
 
2.4%
4000 2
 
2.4%
20000 2
 
2.4%
24400 2
 
2.4%
4500 2
 
2.4%
8000 2
 
2.4%
2980 1
 
1.2%
2800 1
 
1.2%
Other values (62) 62
74.7%
2023-12-12T21:44:21.294209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 149
30.1%
141
28.5%
1 38
 
7.7%
5 31
 
6.3%
2 27
 
5.5%
7 26
 
5.3%
3 21
 
4.2%
6 18
 
3.6%
4 17
 
3.4%
8 14
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 354
71.5%
Space Separator 141
 
28.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 149
42.1%
1 38
 
10.7%
5 31
 
8.8%
2 27
 
7.6%
7 26
 
7.3%
3 21
 
5.9%
6 18
 
5.1%
4 17
 
4.8%
8 14
 
4.0%
9 13
 
3.7%
Space Separator
ValueCountFrequency (%)
141
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 495
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 149
30.1%
141
28.5%
1 38
 
7.7%
5 31
 
6.3%
2 27
 
5.5%
7 26
 
5.3%
3 21
 
4.2%
6 18
 
3.6%
4 17
 
3.4%
8 14
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 495
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 149
30.1%
141
28.5%
1 38
 
7.7%
5 31
 
6.3%
2 27
 
5.5%
7 26
 
5.3%
3 21
 
4.2%
6 18
 
3.6%
4 17
 
3.4%
8 14
 
2.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2013-09-30
112 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2013-09-30
2nd row2013-09-30
3rd row2013-09-30
4th row2013-09-30
5th row2013-09-30

Common Values

ValueCountFrequency (%)
2013-09-30 112
100.0%

Length

2023-12-12T21:44:21.436604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:44:21.537805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2013-09-30 112
100.0%

Sample

구분품목규격 및 단위중앙동역삼동포곡읍모현면원삼면이동면양지면유림동동부동신갈동마북동동백동보정동상하동상갈동죽전동상현동풍덕천동성복동데이터기준일자
0개인서비스설렁탕1인분6500700060008000600070007000700070007000700060006000700070007000550070002013-09-30
1개인서비스냉면1인분/물냉면55005000500050005500466760005000450060005000600060006000550055004000550042502013-09-30
2개인서비스비빔밥1인분5000475050005000600060004000600055005000500052505000475050006000475045002013-09-30
3개인서비스갈비탕1인분650080007000750065007500700070007000750067508500550010000650081677250550070002013-09-30
4개인서비스삼계탕1인분12000110001200010000125001000090001100011500100001200015500110001000012500130002013-09-30
5개인서비스김치찌개백반1인분60004750600065006000600050005250550050006000550055005000475047505500450045002013-09-30
6개인서비스된장찌개백반1인분60004750500050006000500050005250550050004500450055005000475047504500475052502013-09-30
7개인서비스불고기(외식)쇠고기 200g/1인분/공기밥 제외10000120001100012000135001000090006000150001550060001200016615950014000100002013-09-30
8개인서비스등심(외식)쇠고기 200g/1인분32500340003500027500170003100032500270001700048000170002100027500430003000037000235002013-09-30
9개인서비스돼지갈비(외식)150g/1인분84009500110001100012000110001000012000105008400100001245012000100009000109601250012000140002013-09-30
구분품목규격 및 단위중앙동역삼동포곡읍모현면원삼면이동면양지면유림동동부동신갈동마북동동백동보정동상하동상갈동죽전동상현동풍덕천동성복동데이터기준일자
102공산품세탁가루제일제당 비트 3.2kg1590096901190077337250105671550016400162001590010750969012327107509257969015900156502013-09-30
103공산품섬유유연제피죤핑크2100ml6700290025502900626747407400650067006300580028819300290028192950475067002013-09-30
104공산품치약LG페리오 일반용(150g)23001650250020671000230024802680250026301830100018672500132314002300265028502013-09-30
105공산품삼푸덴트롤두피케어600g84124317955078007000115001150072501125084108414990077002013-09-30
106공산품종이기저귀하기스보송보송대형 54p244672592024800258902380027500238002890028800185812380025920288002880021500253002013-09-30
107공산품화장지깨끗한나라(55m)24롤17800100761880087207800131671880019500158001466711900263271390016233162339500244002013-09-30
108공산품빵단팥빵 1개8006536407207535605005375001000450900650170010007002013-09-30
109공산품스넥과자농심 새우깡85074785075070078764080070085080076076776073714626807207802013-09-30
110공산품고추장순창찰고추장(500g)82807700848774505000766059303600735085507100770077007080770078174750765057752013-09-30
111공산품위생대화이트중형(날개형)36p108009900990079501090078004100960093807600990085008500980010167120002013-09-30