Overview

Dataset statistics

Number of variables22
Number of observations10000
Missing cells16444
Missing cells (%)7.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory188.0 B

Variable types

Text14
Categorical5
Numeric3

Dataset

Description전라남도 순천시 분야별 소상공인 데이터에 대한 정보 입니다. (시설명, 위치정보, 휴무일, 운영정보, 전화번호 등 최신정보)
Author전라남도 순천시
URLhttps://www.data.go.kr/data/15111580/fileData.do

Alerts

시도 명칭 has constant value ""Constant
시군구 명칭 has constant value ""Constant
최종작성일 has constant value ""Constant
분점명 has 8183 (81.8%) missing valuesMissing
리 명칭 has 6951 (69.5%) missing valuesMissing
도로명 이름 has 355 (3.5%) missing valuesMissing
건물 번호 has 355 (3.5%) missing valuesMissing
우편번호 has 360 (3.6%) missing valuesMissing
도로명주소 has 111 (1.1%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:49:48.941823
Analysis finished2023-12-12 22:49:51.345771
Duration2.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct9117
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:49:51.540836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length5.9988
Min length1

Characters and Unicode

Total characters59988
Distinct characters1053
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8741 ?
Unique (%)87.4%

Sample

1st row옥스피씨방(주차장)
2nd row풍경이있는가구
3rd row담은정신건강의학과의원
4th row사랑그리고은혜교회(주차장)
5th row케이팝스타 코인노래연습장
ValueCountFrequency (%)
gs25 59
 
0.5%
주차장 55
 
0.5%
세븐일레븐 45
 
0.4%
cu 45
 
0.4%
이마트24 34
 
0.3%
순천 28
 
0.3%
미니스톱 26
 
0.2%
카페 26
 
0.2%
공영 20
 
0.2%
순천만 18
 
0.2%
Other values (9530) 10695
96.8%
2023-12-13T07:49:51.957663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1722
 
2.9%
1202
 
2.0%
1154
 
1.9%
1009
 
1.7%
824
 
1.4%
821
 
1.4%
769
 
1.3%
752
 
1.3%
683
 
1.1%
672
 
1.1%
Other values (1043) 50380
84.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55221
92.1%
Space Separator 1722
 
2.9%
Uppercase Letter 1323
 
2.2%
Decimal Number 669
 
1.1%
Lowercase Letter 468
 
0.8%
Close Punctuation 209
 
0.3%
Open Punctuation 209
 
0.3%
Other Punctuation 147
 
0.2%
Dash Punctuation 15
 
< 0.1%
Other Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1202
 
2.2%
1154
 
2.1%
1009
 
1.8%
824
 
1.5%
821
 
1.5%
769
 
1.4%
752
 
1.4%
683
 
1.2%
672
 
1.2%
641
 
1.2%
Other values (970) 46694
84.6%
Uppercase Letter
ValueCountFrequency (%)
C 159
 
12.0%
S 154
 
11.6%
G 109
 
8.2%
O 70
 
5.3%
B 64
 
4.8%
A 64
 
4.8%
U 64
 
4.8%
E 58
 
4.4%
M 55
 
4.2%
P 55
 
4.2%
Other values (16) 471
35.6%
Lowercase Letter
ValueCountFrequency (%)
a 54
 
11.5%
i 51
 
10.9%
e 45
 
9.6%
o 42
 
9.0%
r 30
 
6.4%
n 26
 
5.6%
y 25
 
5.3%
h 20
 
4.3%
l 20
 
4.3%
f 18
 
3.8%
Other values (14) 137
29.3%
Decimal Number
ValueCountFrequency (%)
2 193
28.8%
5 105
15.7%
1 87
13.0%
4 61
 
9.1%
0 54
 
8.1%
3 53
 
7.9%
9 34
 
5.1%
7 34
 
5.1%
6 25
 
3.7%
8 23
 
3.4%
Other Punctuation
ValueCountFrequency (%)
& 95
64.6%
, 20
 
13.6%
. 18
 
12.2%
? 5
 
3.4%
: 3
 
2.0%
' 3
 
2.0%
# 3
 
2.0%
Space Separator
ValueCountFrequency (%)
1722
100.0%
Close Punctuation
ValueCountFrequency (%)
) 209
100.0%
Open Punctuation
ValueCountFrequency (%)
( 209
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Other Symbol
ValueCountFrequency (%)
4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55221
92.1%
Common 2972
 
5.0%
Latin 1792
 
3.0%
Han 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1202
 
2.2%
1154
 
2.1%
1009
 
1.8%
824
 
1.5%
821
 
1.5%
769
 
1.4%
752
 
1.4%
683
 
1.2%
672
 
1.2%
641
 
1.2%
Other values (968) 46694
84.6%
Latin
ValueCountFrequency (%)
C 159
 
8.9%
S 154
 
8.6%
G 109
 
6.1%
O 70
 
3.9%
B 64
 
3.6%
A 64
 
3.6%
U 64
 
3.6%
E 58
 
3.2%
M 55
 
3.1%
P 55
 
3.1%
Other values (41) 940
52.5%
Common
ValueCountFrequency (%)
1722
57.9%
) 209
 
7.0%
( 209
 
7.0%
2 193
 
6.5%
5 105
 
3.5%
& 95
 
3.2%
1 87
 
2.9%
4 61
 
2.1%
0 54
 
1.8%
3 53
 
1.8%
Other values (12) 184
 
6.2%
Han
ValueCountFrequency (%)
2
66.7%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55217
92.0%
ASCII 4763
 
7.9%
None 5
 
< 0.1%
CJK 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1722
36.2%
) 209
 
4.4%
( 209
 
4.4%
2 193
 
4.1%
C 159
 
3.3%
S 154
 
3.2%
G 109
 
2.3%
5 105
 
2.2%
& 95
 
2.0%
1 87
 
1.8%
Other values (62) 1721
36.1%
Hangul
ValueCountFrequency (%)
1202
 
2.2%
1154
 
2.1%
1009
 
1.8%
824
 
1.5%
821
 
1.5%
769
 
1.4%
752
 
1.4%
683
 
1.2%
672
 
1.2%
641
 
1.2%
Other values (967) 46690
84.6%
None
ValueCountFrequency (%)
4
80.0%
º 1
 
20.0%
CJK
ValueCountFrequency (%)
2
66.7%
1
33.3%

분점명
Text

MISSING 

Distinct592
Distinct (%)32.6%
Missing8183
Missing (%)81.8%
Memory size156.2 KiB
2023-12-13T07:49:52.216535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length4.5993396
Min length1

Characters and Unicode

Total characters8357
Distinct characters307
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique422 ?
Unique (%)23.2%

Sample

1st row신대해법중국어어학원
2nd row순천만점
3rd row순천점
4th row풍덕점
5th row신대메가학원
ValueCountFrequency (%)
순천점 218
 
11.8%
순천신대점 70
 
3.8%
순천조례점 66
 
3.6%
신대점 65
 
3.5%
순천오천점 54
 
2.9%
조례점 54
 
2.9%
순천중앙점 53
 
2.9%
오천점 44
 
2.4%
순천대점 40
 
2.2%
순천용당점 37
 
2.0%
Other values (578) 1151
62.1%
2023-12-13T07:49:52.667685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1643
19.7%
1258
15.1%
1114
 
13.3%
346
 
4.1%
218
 
2.6%
196
 
2.3%
181
 
2.2%
172
 
2.1%
132
 
1.6%
131
 
1.6%
Other values (297) 2966
35.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8199
98.1%
Decimal Number 66
 
0.8%
Uppercase Letter 41
 
0.5%
Space Separator 37
 
0.4%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1643
20.0%
1258
15.3%
1114
 
13.6%
346
 
4.2%
218
 
2.7%
196
 
2.4%
181
 
2.2%
172
 
2.1%
132
 
1.6%
131
 
1.6%
Other values (268) 2808
34.2%
Uppercase Letter
ValueCountFrequency (%)
C 10
24.4%
N 5
12.2%
T 5
12.2%
D 4
 
9.8%
R 3
 
7.3%
M 3
 
7.3%
I 3
 
7.3%
G 1
 
2.4%
W 1
 
2.4%
V 1
 
2.4%
Other values (5) 5
12.2%
Decimal Number
ValueCountFrequency (%)
1 25
37.9%
2 19
28.8%
3 8
 
12.1%
8 4
 
6.1%
6 3
 
4.5%
9 3
 
4.5%
4 2
 
3.0%
5 1
 
1.5%
7 1
 
1.5%
Space Separator
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8199
98.1%
Common 117
 
1.4%
Latin 41
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1643
20.0%
1258
15.3%
1114
 
13.6%
346
 
4.2%
218
 
2.7%
196
 
2.4%
181
 
2.2%
172
 
2.1%
132
 
1.6%
131
 
1.6%
Other values (268) 2808
34.2%
Latin
ValueCountFrequency (%)
C 10
24.4%
N 5
12.2%
T 5
12.2%
D 4
 
9.8%
R 3
 
7.3%
M 3
 
7.3%
I 3
 
7.3%
G 1
 
2.4%
W 1
 
2.4%
V 1
 
2.4%
Other values (5) 5
12.2%
Common
ValueCountFrequency (%)
37
31.6%
1 25
21.4%
2 19
16.2%
3 8
 
6.8%
) 6
 
5.1%
( 6
 
5.1%
8 4
 
3.4%
6 3
 
2.6%
9 3
 
2.6%
4 2
 
1.7%
Other values (4) 4
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8199
98.1%
ASCII 158
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1643
20.0%
1258
15.3%
1114
 
13.6%
346
 
4.2%
218
 
2.7%
196
 
2.4%
181
 
2.2%
172
 
2.1%
132
 
1.6%
131
 
1.6%
Other values (268) 2808
34.2%
ASCII
ValueCountFrequency (%)
37
23.4%
1 25
15.8%
2 19
12.0%
C 10
 
6.3%
3 8
 
5.1%
) 6
 
3.8%
( 6
 
3.8%
N 5
 
3.2%
T 5
 
3.2%
D 4
 
2.5%
Other values (19) 33
20.9%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
8333 
0
1667 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 8333
83.3%
0 1667
 
16.7%

Length

2023-12-13T07:49:52.799889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:49:52.883482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 8333
83.3%
0 1667
 
16.7%

목록
Text

Distinct58
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:49:53.028258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length5.0381
Min length2

Characters and Unicode

Total characters50381
Distinct characters102
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.2%

Sample

1st row주차시설
2nd row도소매점
3rd row병원
4th row주차시설
5th row오락 및 서비스업
ValueCountFrequency (%)
3261
19.7%
음식점 3253
19.7%
카페 2081
12.6%
도소매점 2021
12.2%
미용업 1000
 
6.1%
학교 984
 
6.0%
학원 984
 
6.0%
공공시설 702
 
4.2%
숙박 447
 
2.7%
다중이용시설 380
 
2.3%
Other values (50) 1410
8.5%
2023-12-13T07:49:53.324055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6524
 
12.9%
5306
 
10.5%
3269
 
6.5%
3267
 
6.5%
3261
 
6.5%
2081
 
4.1%
2081
 
4.1%
2060
 
4.1%
2027
 
4.0%
2022
 
4.0%
Other values (92) 18483
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43407
86.2%
Space Separator 6524
 
12.9%
Other Punctuation 418
 
0.8%
Close Punctuation 16
 
< 0.1%
Open Punctuation 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5306
 
12.2%
3269
 
7.5%
3267
 
7.5%
3261
 
7.5%
2081
 
4.8%
2081
 
4.8%
2060
 
4.7%
2027
 
4.7%
2022
 
4.7%
1968
 
4.5%
Other values (88) 16065
37.0%
Space Separator
ValueCountFrequency (%)
6524
100.0%
Other Punctuation
ValueCountFrequency (%)
, 418
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43407
86.2%
Common 6974
 
13.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5306
 
12.2%
3269
 
7.5%
3267
 
7.5%
3261
 
7.5%
2081
 
4.8%
2081
 
4.8%
2060
 
4.7%
2027
 
4.7%
2022
 
4.7%
1968
 
4.5%
Other values (88) 16065
37.0%
Common
ValueCountFrequency (%)
6524
93.5%
, 418
 
6.0%
) 16
 
0.2%
( 16
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43407
86.2%
ASCII 6974
 
13.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6524
93.5%
, 418
 
6.0%
) 16
 
0.2%
( 16
 
0.2%
Hangul
ValueCountFrequency (%)
5306
 
12.2%
3269
 
7.5%
3267
 
7.5%
3261
 
7.5%
2081
 
4.8%
2081
 
4.8%
2060
 
4.7%
2027
 
4.7%
2022
 
4.7%
1968
 
4.5%
Other values (88) 16065
37.0%
Distinct1151
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:49:53.668746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length85
Mean length4.5032
Min length1

Characters and Unicode

Total characters45032
Distinct characters492
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique501 ?
Unique (%)5.0%

Sample

1st row주차장
2nd row가구
3rd row정신건강의학과
4th row주차장
5th row노래연습장업
ValueCountFrequency (%)
한식 593
 
5.4%
카페 442
 
4.0%
미용실 332
 
3.0%
편의점 231
 
2.1%
주차장 212
 
1.9%
경로당,노인정 199
 
1.8%
디저트 194
 
1.8%
마을회관 187
 
1.7%
일반미용업 170
 
1.5%
치킨,닭강정 158
 
1.4%
Other values (1166) 8283
75.3%
2023-12-13T07:49:54.417984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 2733
 
6.1%
1357
 
3.0%
1001
 
2.2%
946
 
2.1%
918
 
2.0%
820
 
1.8%
808
 
1.8%
796
 
1.8%
782
 
1.7%
724
 
1.6%
Other values (482) 34147
75.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40549
90.0%
Other Punctuation 2782
 
6.2%
Space Separator 1001
 
2.2%
Open Punctuation 274
 
0.6%
Close Punctuation 274
 
0.6%
Uppercase Letter 136
 
0.3%
Lowercase Letter 6
 
< 0.1%
Dash Punctuation 5
 
< 0.1%
Decimal Number 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1357
 
3.3%
946
 
2.3%
918
 
2.3%
820
 
2.0%
808
 
2.0%
796
 
2.0%
782
 
1.9%
724
 
1.8%
704
 
1.7%
688
 
1.7%
Other values (452) 32006
78.9%
Uppercase Letter
ValueCountFrequency (%)
P 31
22.8%
C 28
20.6%
S 19
14.0%
G 12
 
8.8%
L 9
 
6.6%
K 9
 
6.6%
O 5
 
3.7%
I 5
 
3.7%
T 5
 
3.7%
A 4
 
2.9%
Other values (5) 9
 
6.6%
Other Punctuation
ValueCountFrequency (%)
, 2733
98.2%
/ 25
 
0.9%
· 22
 
0.8%
. 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
3 2
40.0%
6 1
20.0%
5 1
20.0%
1 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
r 2
33.3%
a 2
33.3%
b 2
33.3%
Space Separator
ValueCountFrequency (%)
1001
100.0%
Open Punctuation
ValueCountFrequency (%)
( 274
100.0%
Close Punctuation
ValueCountFrequency (%)
) 274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40549
90.0%
Common 4341
 
9.6%
Latin 142
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1357
 
3.3%
946
 
2.3%
918
 
2.3%
820
 
2.0%
808
 
2.0%
796
 
2.0%
782
 
1.9%
724
 
1.8%
704
 
1.7%
688
 
1.7%
Other values (452) 32006
78.9%
Latin
ValueCountFrequency (%)
P 31
21.8%
C 28
19.7%
S 19
13.4%
G 12
 
8.5%
L 9
 
6.3%
K 9
 
6.3%
O 5
 
3.5%
I 5
 
3.5%
T 5
 
3.5%
A 4
 
2.8%
Other values (8) 15
10.6%
Common
ValueCountFrequency (%)
, 2733
63.0%
1001
 
23.1%
( 274
 
6.3%
) 274
 
6.3%
/ 25
 
0.6%
· 22
 
0.5%
- 5
 
0.1%
. 2
 
< 0.1%
3 2
 
< 0.1%
6 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40528
90.0%
ASCII 4461
 
9.9%
None 22
 
< 0.1%
Compat Jamo 21
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 2733
61.3%
1001
 
22.4%
( 274
 
6.1%
) 274
 
6.1%
P 31
 
0.7%
C 28
 
0.6%
/ 25
 
0.6%
S 19
 
0.4%
G 12
 
0.3%
L 9
 
0.2%
Other values (19) 55
 
1.2%
Hangul
ValueCountFrequency (%)
1357
 
3.3%
946
 
2.3%
918
 
2.3%
820
 
2.0%
808
 
2.0%
796
 
2.0%
782
 
1.9%
724
 
1.8%
704
 
1.7%
688
 
1.7%
Other values (451) 31985
78.9%
None
ValueCountFrequency (%)
· 22
100.0%
Compat Jamo
ValueCountFrequency (%)
21
100.0%

시도 명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
전남
10000 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
전남 10000
100.0%

Length

2023-12-13T07:49:54.581346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:49:54.685309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전남 10000
100.0%

시군구 명칭
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
순천시
10000 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
순천시 10000
100.0%

Length

2023-12-13T07:49:54.790140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:49:54.890400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
순천시 10000
100.0%
Distinct45
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
조례동
1676 
해룡면
1502 
장천동
626 
풍덕동
575 
왕지동
 
496
Other values (40)
5125 

Length

Max length4
Median length3
Mean length2.9494
Min length2

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row조례동
2nd row서면
3rd row왕지동
4th row남내동
5th row해룡면

Common Values

ValueCountFrequency (%)
조례동 1676
16.8%
해룡면 1502
15.0%
장천동 626
 
6.3%
풍덕동 575
 
5.8%
왕지동 496
 
5.0%
조곡동 373
 
3.7%
서면 353
 
3.5%
오천동 308
 
3.1%
용당동 287
 
2.9%
석현동 282
 
2.8%
Other values (35) 3522
35.2%

Length

2023-12-13T07:49:55.025161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조례동 1676
16.8%
해룡면 1502
15.0%
장천동 626
 
6.3%
풍덕동 575
 
5.8%
왕지동 496
 
5.0%
조곡동 373
 
3.7%
서면 353
 
3.5%
오천동 308
 
3.1%
용당동 287
 
2.9%
석현동 282
 
2.8%
Other values (35) 3522
35.2%

리 명칭
Text

MISSING 

Distinct139
Distinct (%)4.6%
Missing6951
Missing (%)69.5%
Memory size156.2 KiB
2023-12-13T07:49:55.445087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters9147
Distinct characters105
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

Unique9 ?
Unique (%)0.3%

Sample

1st row동산리
2nd row신대리
3rd row신대리
4th row봉림리
5th row상내리
ValueCountFrequency (%)
신대리 748
24.5%
상삼리 497
16.3%
선평리 157
 
5.1%
동내리 96
 
3.1%
동산리 75
 
2.5%
봉림리 61
 
2.0%
흘산리 54
 
1.8%
광천리 52
 
1.7%
선변리 49
 
1.6%
월전리 42
 
1.4%
Other values (129) 1218
39.9%
2023-12-13T07:49:56.005554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3049
33.3%
819
 
9.0%
805
 
8.8%
537
 
5.9%
503
 
5.5%
305
 
3.3%
251
 
2.7%
244
 
2.7%
187
 
2.0%
179
 
2.0%
Other values (95) 2268
24.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9147
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3049
33.3%
819
 
9.0%
805
 
8.8%
537
 
5.9%
503
 
5.5%
305
 
3.3%
251
 
2.7%
244
 
2.7%
187
 
2.0%
179
 
2.0%
Other values (95) 2268
24.8%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9147
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3049
33.3%
819
 
9.0%
805
 
8.8%
537
 
5.9%
503
 
5.5%
305
 
3.3%
251
 
2.7%
244
 
2.7%
187
 
2.0%
179
 
2.0%
Other values (95) 2268
24.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9147
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3049
33.3%
819
 
9.0%
805
 
8.8%
537
 
5.9%
503
 
5.5%
305
 
3.3%
251
 
2.7%
244
 
2.7%
187
 
2.0%
179
 
2.0%
Other values (95) 2268
24.8%

번지
Text

Distinct4906
Distinct (%)49.4%
Missing73
Missing (%)0.7%
Memory size156.2 KiB
2023-12-13T07:49:56.400138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.8170646
Min length4

Characters and Unicode

Total characters77600
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2811 ?
Unique (%)28.3%

Sample

1st row1361 번지
2nd row92-1 번지
3rd row863-6 번지
4th row8-2 번지
5th row1985-2 번지
ValueCountFrequency (%)
번지 9927
50.0%
1264 52
 
0.3%
1968 35
 
0.2%
169 31
 
0.2%
964-2 30
 
0.2%
657 30
 
0.2%
2003 29
 
0.1%
74-1 29
 
0.1%
151 28
 
0.1%
1757-1 25
 
0.1%
Other values (4897) 9638
48.5%
2023-12-13T07:49:56.931662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9927
12.8%
9927
12.8%
9927
12.8%
1 8684
11.2%
- 7738
10.0%
2 4514
 
5.8%
5 3999
 
5.2%
8 3786
 
4.9%
6 3703
 
4.8%
3 3431
 
4.4%
Other values (4) 11964
15.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40081
51.7%
Other Letter 19854
25.6%
Space Separator 9927
 
12.8%
Dash Punctuation 7738
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8684
21.7%
2 4514
11.3%
5 3999
10.0%
8 3786
9.4%
6 3703
9.2%
3 3431
 
8.6%
4 3248
 
8.1%
9 3138
 
7.8%
7 3102
 
7.7%
0 2476
 
6.2%
Other Letter
ValueCountFrequency (%)
9927
50.0%
9927
50.0%
Space Separator
ValueCountFrequency (%)
9927
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7738
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57746
74.4%
Hangul 19854
 
25.6%

Most frequent character per script

Common
ValueCountFrequency (%)
9927
17.2%
1 8684
15.0%
- 7738
13.4%
2 4514
7.8%
5 3999
6.9%
8 3786
 
6.6%
6 3703
 
6.4%
3 3431
 
5.9%
4 3248
 
5.6%
9 3138
 
5.4%
Other values (2) 5578
9.7%
Hangul
ValueCountFrequency (%)
9927
50.0%
9927
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57746
74.4%
Hangul 19854
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9927
17.2%
1 8684
15.0%
- 7738
13.4%
2 4514
7.8%
5 3999
6.9%
8 3786
 
6.6%
6 3703
 
6.4%
3 3431
 
5.9%
4 3248
 
5.6%
9 3138
 
5.4%
Other values (2) 5578
9.7%
Hangul
ValueCountFrequency (%)
9927
50.0%
9927
50.0%

도로명 이름
Text

MISSING 

Distinct822
Distinct (%)8.5%
Missing355
Missing (%)3.5%
Memory size156.2 KiB
2023-12-13T07:49:57.193969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length3.8159668
Min length3

Characters and Unicode

Total characters36805
Distinct characters243
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

Unique275 ?
Unique (%)2.9%

Sample

1st row봉화1길
2nd row죽평길
3rd row왕지2길
4th row시민로
5th row신대3길
ValueCountFrequency (%)
중앙로 366
 
3.8%
팔마로 258
 
2.7%
삼산로 249
 
2.6%
장선배기길 207
 
2.1%
이수로 164
 
1.7%
봉화2길 163
 
1.7%
조례못등길 152
 
1.6%
장평로 128
 
1.3%
신대로 127
 
1.3%
왕궁길 121
 
1.3%
Other values (812) 7710
79.9%
2023-12-13T07:49:57.599464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6656
 
18.1%
2989
 
8.1%
2 945
 
2.6%
928
 
2.5%
1 830
 
2.3%
734
 
2.0%
692
 
1.9%
663
 
1.8%
629
 
1.7%
593
 
1.6%
Other values (233) 21146
57.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33781
91.8%
Decimal Number 3024
 
8.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6656
 
19.7%
2989
 
8.8%
928
 
2.7%
734
 
2.2%
692
 
2.0%
663
 
2.0%
629
 
1.9%
593
 
1.8%
588
 
1.7%
552
 
1.6%
Other values (224) 18757
55.5%
Decimal Number
ValueCountFrequency (%)
2 945
31.2%
1 830
27.4%
3 529
17.5%
4 296
 
9.8%
5 187
 
6.2%
6 174
 
5.8%
7 49
 
1.6%
8 13
 
0.4%
0 1
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33781
91.8%
Common 3024
 
8.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6656
 
19.7%
2989
 
8.8%
928
 
2.7%
734
 
2.2%
692
 
2.0%
663
 
2.0%
629
 
1.9%
593
 
1.8%
588
 
1.7%
552
 
1.6%
Other values (224) 18757
55.5%
Common
ValueCountFrequency (%)
2 945
31.2%
1 830
27.4%
3 529
17.5%
4 296
 
9.8%
5 187
 
6.2%
6 174
 
5.8%
7 49
 
1.6%
8 13
 
0.4%
0 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33781
91.8%
ASCII 3024
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
6656
 
19.7%
2989
 
8.8%
928
 
2.7%
734
 
2.2%
692
 
2.0%
663
 
2.0%
629
 
1.9%
593
 
1.8%
588
 
1.7%
552
 
1.6%
Other values (224) 18757
55.5%
ASCII
ValueCountFrequency (%)
2 945
31.2%
1 830
27.4%
3 529
17.5%
4 296
 
9.8%
5 187
 
6.2%
6 174
 
5.8%
7 49
 
1.6%
8 13
 
0.4%
0 1
 
< 0.1%

건물 번호
Text

MISSING 

Distinct1365
Distinct (%)14.2%
Missing355
Missing (%)3.5%
Memory size156.2 KiB
2023-12-13T07:49:57.962724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.5264904
Min length3

Characters and Unicode

Total characters43658
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique645 ?
Unique (%)6.7%

Sample

1st row23 번
2nd row2 번
3rd row4-20 번
4th row47 번
5th row6-10 번
ValueCountFrequency (%)
9645
50.0%
5 161
 
0.8%
3 148
 
0.8%
6 146
 
0.8%
2 139
 
0.7%
10 139
 
0.7%
15 134
 
0.7%
20 133
 
0.7%
7 129
 
0.7%
14 123
 
0.6%
Other values (1356) 8393
43.5%
2023-12-13T07:49:58.465947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9645
22.1%
9645
22.1%
1 5113
11.7%
2 3077
 
7.0%
3 2496
 
5.7%
4 2086
 
4.8%
5 1977
 
4.5%
6 1804
 
4.1%
- 1686
 
3.9%
0 1669
 
3.8%
Other values (3) 4460
10.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22682
52.0%
Space Separator 9645
22.1%
Other Letter 9645
22.1%
Dash Punctuation 1686
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5113
22.5%
2 3077
13.6%
3 2496
11.0%
4 2086
9.2%
5 1977
 
8.7%
6 1804
 
8.0%
0 1669
 
7.4%
9 1526
 
6.7%
7 1516
 
6.7%
8 1418
 
6.3%
Space Separator
ValueCountFrequency (%)
9645
100.0%
Other Letter
ValueCountFrequency (%)
9645
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1686
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34013
77.9%
Hangul 9645
 
22.1%

Most frequent character per script

Common
ValueCountFrequency (%)
9645
28.4%
1 5113
15.0%
2 3077
 
9.0%
3 2496
 
7.3%
4 2086
 
6.1%
5 1977
 
5.8%
6 1804
 
5.3%
- 1686
 
5.0%
0 1669
 
4.9%
9 1526
 
4.5%
Other values (2) 2934
 
8.6%
Hangul
ValueCountFrequency (%)
9645
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34013
77.9%
Hangul 9645
 
22.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9645
28.4%
1 5113
15.0%
2 3077
 
9.0%
3 2496
 
7.3%
4 2086
 
6.1%
5 1977
 
5.8%
6 1804
 
5.3%
- 1686
 
5.0%
0 1669
 
4.9%
9 1526
 
4.5%
Other values (2) 2934
 
8.6%
Hangul
ValueCountFrequency (%)
9645
100.0%

위도
Real number (ℝ)

Distinct5529
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.750145
Minimum0
Maximum37.200981
Zeros59
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:49:58.667042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile34.895953
Q134.940382
median34.952002
Q334.963403
95-th percentile35.014167
Maximum37.200981
Range37.200981
Interquartile range (IQR)0.0230205

Descriptive statistics

Standard deviation2.6780093
Coefficient of variation (CV)0.077064694
Kurtosis164.39123
Mean34.750145
Median Absolute Deviation (MAD)0.0115455
Skewness-12.894003
Sum347501.45
Variance7.1717336
MonotonicityNot monotonic
2023-12-13T07:49:58.841398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 59
 
0.6%
34.945147 45
 
0.4%
34.935025 31
 
0.3%
34.933249 30
 
0.3%
34.947132 30
 
0.3%
34.942572 27
 
0.3%
34.931536 27
 
0.3%
34.941247 26
 
0.3%
34.937045 25
 
0.2%
34.934646 24
 
0.2%
Other values (5519) 9676
96.8%
ValueCountFrequency (%)
0.0 59
0.6%
34.824193 1
 
< 0.1%
34.835639 1
 
< 0.1%
34.836516 1
 
< 0.1%
34.836855 1
 
< 0.1%
34.83705 2
 
< 0.1%
34.837118 1
 
< 0.1%
34.838969 1
 
< 0.1%
34.839087 2
 
< 0.1%
34.840556 1
 
< 0.1%
ValueCountFrequency (%)
37.200981 1
< 0.1%
37.153436 1
< 0.1%
36.857746 1
< 0.1%
36.765938 1
< 0.1%
36.508602 1
< 0.1%
36.434703 1
< 0.1%
36.364383 1
< 0.1%
36.357829 1
< 0.1%
35.185577 1
< 0.1%
35.185399 2
< 0.1%

경도
Real number (ℝ)

Distinct5549
Distinct (%)55.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.75291
Minimum0
Maximum128.42411
Zeros58
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:49:59.057935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile127.34717
Q1127.48502
median127.49698
Q3127.52402
95-th percentile127.54848
Maximum128.42411
Range128.42411
Interquartile range (IQR)0.03899775

Descriptive statistics

Standard deviation9.6819862
Coefficient of variation (CV)0.076384724
Kurtosis167.4919
Mean126.75291
Median Absolute Deviation (MAD)0.018174
Skewness-13.017384
Sum1267529.1
Variance93.740857
MonotonicityNot monotonic
2023-12-13T07:49:59.268664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 58
 
0.6%
127.49609 44
 
0.4%
127.545037 32
 
0.3%
127.494535 30
 
0.3%
127.531437 29
 
0.3%
127.50845 28
 
0.3%
127.510856 28
 
0.3%
127.547538 27
 
0.3%
127.546146 27
 
0.3%
127.487376 26
 
0.3%
Other values (5539) 9671
96.7%
ValueCountFrequency (%)
0.0 58
0.6%
126.433315 1
 
< 0.1%
126.628522 1
 
< 0.1%
126.670579 1
 
< 0.1%
126.943374 1
 
< 0.1%
126.953714 1
 
< 0.1%
127.187178 1
 
< 0.1%
127.201392 1
 
< 0.1%
127.201675 2
 
< 0.1%
127.202057 1
 
< 0.1%
ValueCountFrequency (%)
128.424113 1
 
< 0.1%
127.58775 1
 
< 0.1%
127.586876 2
< 0.1%
127.586602 2
< 0.1%
127.586587 1
 
< 0.1%
127.585967 1
 
< 0.1%
127.585663 1
 
< 0.1%
127.584989 1
 
< 0.1%
127.584943 3
< 0.1%
127.582551 2
< 0.1%

우편번호
Real number (ℝ)

MISSING 

Distinct117
Distinct (%)1.2%
Missing360
Missing (%)3.6%
Infinite0
Infinite (%)0.0%
Mean57959.432
Minimum57729
Maximum58035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T07:49:59.431381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57729
5-th percentile57909
Q157936
median57956
Q357975
95-th percentile58026
Maximum58035
Range306
Interquartile range (IQR)39

Descriptive statistics

Standard deviation33.526027
Coefficient of variation (CV)0.00057843954
Kurtosis-0.32242181
Mean57959.432
Median Absolute Deviation (MAD)20
Skewness0.42589147
Sum5.5872892 × 108
Variance1123.9945
MonotonicityNot monotonic
2023-12-13T07:49:59.601337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57956 446
 
4.5%
57932 415
 
4.2%
57942 353
 
3.5%
57939 254
 
2.5%
57959 242
 
2.4%
57964 240
 
2.4%
57941 235
 
2.4%
57999 224
 
2.2%
57968 212
 
2.1%
57918 206
 
2.1%
Other values (107) 6813
68.1%
(Missing) 360
 
3.6%
ValueCountFrequency (%)
57729 1
 
< 0.1%
57900 66
0.7%
57901 69
0.7%
57902 84
0.8%
57903 22
 
0.2%
57904 44
0.4%
57905 31
 
0.3%
57906 73
0.7%
57907 31
 
0.3%
57908 54
0.5%
ValueCountFrequency (%)
58035 9
 
0.1%
58034 9
 
0.1%
58033 66
0.7%
58032 31
 
0.3%
58031 32
 
0.3%
58030 56
 
0.6%
58029 14
 
0.1%
58028 21
 
0.2%
58027 152
1.5%
58026 97
1.0%

도로명주소
Text

MISSING 

Distinct8237
Distinct (%)83.3%
Missing111
Missing (%)1.1%
Memory size156.2 KiB
2023-12-13T07:50:00.036294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length77
Median length52
Mean length19.74416
Min length9

Characters and Unicode

Total characters195250
Distinct characters764
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7140 ?
Unique (%)72.2%

Sample

1st row전남 순천시 봉화1길 23 2층
2nd row전남 순천시 서면 죽평길 2
3rd row전남 순천시 왕지2길 4-20 2층
4th row전남 순천시 시민로 47 황금보석
5th row전라남도 순천시 해룡면 신대3길 6-10, 2층
ValueCountFrequency (%)
순천시 9885
 
20.1%
전남 6926
 
14.1%
전라남도 2956
 
6.0%
해룡면 1467
 
3.0%
1층 1154
 
2.3%
2층 419
 
0.9%
중앙로 363
 
0.7%
서면 349
 
0.7%
팔마로 267
 
0.5%
삼산로 252
 
0.5%
Other values (5009) 25243
51.2%
2023-12-13T07:50:00.620681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39421
20.2%
10946
 
5.6%
10425
 
5.3%
10423
 
5.3%
10413
 
5.3%
10138
 
5.2%
1 8381
 
4.3%
6753
 
3.5%
2 5085
 
2.6%
3 3549
 
1.8%
Other values (754) 79716
40.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118147
60.5%
Space Separator 39421
 
20.2%
Decimal Number 31618
 
16.2%
Dash Punctuation 2028
 
1.0%
Other Punctuation 1187
 
0.6%
Close Punctuation 1150
 
0.6%
Open Punctuation 1149
 
0.6%
Uppercase Letter 334
 
0.2%
Lowercase Letter 186
 
0.1%
Math Symbol 26
 
< 0.1%
Other values (2) 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10946
 
9.3%
10425
 
8.8%
10423
 
8.8%
10413
 
8.8%
10138
 
8.6%
6753
 
5.7%
3218
 
2.7%
3106
 
2.6%
3060
 
2.6%
2848
 
2.4%
Other values (678) 46817
39.6%
Uppercase Letter
ValueCountFrequency (%)
G 35
 
10.5%
A 32
 
9.6%
S 31
 
9.3%
B 24
 
7.2%
K 21
 
6.3%
T 18
 
5.4%
L 17
 
5.1%
C 17
 
5.1%
P 17
 
5.1%
N 15
 
4.5%
Other values (14) 107
32.0%
Lowercase Letter
ValueCountFrequency (%)
e 26
14.0%
a 20
10.8%
l 18
 
9.7%
c 17
 
9.1%
o 15
 
8.1%
s 11
 
5.9%
p 10
 
5.4%
h 7
 
3.8%
i 7
 
3.8%
n 6
 
3.2%
Other values (14) 49
26.3%
Decimal Number
ValueCountFrequency (%)
1 8381
26.5%
2 5085
16.1%
3 3549
11.2%
4 2644
 
8.4%
0 2459
 
7.8%
5 2433
 
7.7%
6 2175
 
6.9%
7 1709
 
5.4%
9 1630
 
5.2%
8 1553
 
4.9%
Other Punctuation
ValueCountFrequency (%)
, 986
83.1%
* 146
 
12.3%
. 36
 
3.0%
& 10
 
0.8%
@ 5
 
0.4%
' 2
 
0.2%
/ 1
 
0.1%
; 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 1145
99.6%
] 5
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 1144
99.6%
[ 5
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 24
92.3%
> 2
 
7.7%
Space Separator
ValueCountFrequency (%)
39421
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2028
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118149
60.5%
Common 76581
39.2%
Latin 520
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10946
 
9.3%
10425
 
8.8%
10423
 
8.8%
10413
 
8.8%
10138
 
8.6%
6753
 
5.7%
3218
 
2.7%
3106
 
2.6%
3060
 
2.6%
2848
 
2.4%
Other values (679) 46819
39.6%
Latin
ValueCountFrequency (%)
G 35
 
6.7%
A 32
 
6.2%
S 31
 
6.0%
e 26
 
5.0%
B 24
 
4.6%
K 21
 
4.0%
a 20
 
3.8%
T 18
 
3.5%
l 18
 
3.5%
L 17
 
3.3%
Other values (38) 278
53.5%
Common
ValueCountFrequency (%)
39421
51.5%
1 8381
 
10.9%
2 5085
 
6.6%
3 3549
 
4.6%
4 2644
 
3.5%
0 2459
 
3.2%
5 2433
 
3.2%
6 2175
 
2.8%
- 2028
 
2.6%
7 1709
 
2.2%
Other values (17) 6697
 
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118147
60.5%
ASCII 77101
39.5%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39421
51.1%
1 8381
 
10.9%
2 5085
 
6.6%
3 3549
 
4.6%
4 2644
 
3.4%
0 2459
 
3.2%
5 2433
 
3.2%
6 2175
 
2.8%
- 2028
 
2.6%
7 1709
 
2.2%
Other values (65) 7217
 
9.4%
Hangul
ValueCountFrequency (%)
10946
 
9.3%
10425
 
8.8%
10423
 
8.8%
10413
 
8.8%
10138
 
8.6%
6753
 
5.7%
3218
 
2.7%
3106
 
2.6%
3060
 
2.6%
2848
 
2.4%
Other values (678) 46817
39.6%
None
ValueCountFrequency (%)
2
100.0%
Distinct7117
Distinct (%)71.6%
Missing56
Missing (%)0.6%
Memory size156.2 KiB
2023-12-13T07:50:01.025427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length50
Mean length18.341714
Min length3

Characters and Unicode

Total characters182390
Distinct characters388
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

Unique5613 ?
Unique (%)56.4%

Sample

1st row전남 순천시 조례동 1361
2nd row동산리 92-1
3rd row전남 순천시 왕지동 863-6
4th row전남 순천시 남내동 8-2
5th row전라남도 순천시 해룡면 신대리 1985-2번지 2층
ValueCountFrequency (%)
순천시 9740
22.8%
전라남도 5608
 
13.1%
전남 4154
 
9.7%
조례동 1661
 
3.9%
해룡면 1237
 
2.9%
신대리 748
 
1.8%
장천동 622
 
1.5%
풍덕동 571
 
1.3%
상삼리 496
 
1.2%
왕지동 489
 
1.1%
Other values (6053) 17401
40.7%
2023-12-13T07:50:01.614995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32804
18.0%
10818
 
5.9%
10168
 
5.6%
10152
 
5.6%
9798
 
5.4%
9792
 
5.4%
1 9131
 
5.0%
- 7480
 
4.1%
7376
 
4.0%
5640
 
3.1%
Other values (378) 69231
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 100672
55.2%
Decimal Number 40945
22.4%
Space Separator 32804
 
18.0%
Dash Punctuation 7480
 
4.1%
Other Punctuation 166
 
0.1%
Open Punctuation 127
 
0.1%
Close Punctuation 127
 
0.1%
Uppercase Letter 40
 
< 0.1%
Lowercase Letter 19
 
< 0.1%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
10818
10.7%
10168
 
10.1%
10152
 
10.1%
9798
 
9.7%
9792
 
9.7%
7376
 
7.3%
5640
 
5.6%
5621
 
5.6%
3036
 
3.0%
2043
 
2.0%
Other values (341) 26228
26.1%
Uppercase Letter
ValueCountFrequency (%)
G 12
30.0%
L 6
15.0%
A 5
12.5%
P 4
 
10.0%
B 3
 
7.5%
M 2
 
5.0%
D 2
 
5.0%
F 2
 
5.0%
C 1
 
2.5%
S 1
 
2.5%
Other values (2) 2
 
5.0%
Decimal Number
ValueCountFrequency (%)
1 9131
22.3%
2 4716
11.5%
5 4001
9.8%
8 3790
9.3%
6 3749
9.2%
3 3477
 
8.5%
4 3275
 
8.0%
9 3134
 
7.7%
7 3062
 
7.5%
0 2610
 
6.4%
Other Punctuation
ValueCountFrequency (%)
* 112
67.5%
, 42
 
25.3%
. 6
 
3.6%
@ 4
 
2.4%
& 1
 
0.6%
/ 1
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 7
36.8%
l 4
21.1%
c 4
21.1%
a 4
21.1%
Space Separator
ValueCountFrequency (%)
32804
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7480
100.0%
Open Punctuation
ValueCountFrequency (%)
( 127
100.0%
Close Punctuation
ValueCountFrequency (%)
) 127
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 100672
55.2%
Common 81659
44.8%
Latin 59
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
10818
10.7%
10168
 
10.1%
10152
 
10.1%
9798
 
9.7%
9792
 
9.7%
7376
 
7.3%
5640
 
5.6%
5621
 
5.6%
3036
 
3.0%
2043
 
2.0%
Other values (341) 26228
26.1%
Common
ValueCountFrequency (%)
32804
40.2%
1 9131
 
11.2%
- 7480
 
9.2%
2 4716
 
5.8%
5 4001
 
4.9%
8 3790
 
4.6%
6 3749
 
4.6%
3 3477
 
4.3%
4 3275
 
4.0%
9 3134
 
3.8%
Other values (11) 6102
 
7.5%
Latin
ValueCountFrequency (%)
G 12
20.3%
e 7
11.9%
L 6
10.2%
A 5
8.5%
l 4
 
6.8%
c 4
 
6.8%
a 4
 
6.8%
P 4
 
6.8%
B 3
 
5.1%
M 2
 
3.4%
Other values (6) 8
13.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 100672
55.2%
ASCII 81718
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32804
40.1%
1 9131
 
11.2%
- 7480
 
9.2%
2 4716
 
5.8%
5 4001
 
4.9%
8 3790
 
4.6%
6 3749
 
4.6%
3 3477
 
4.3%
4 3275
 
4.0%
9 3134
 
3.8%
Other values (27) 6161
 
7.5%
Hangul
ValueCountFrequency (%)
10818
10.7%
10168
 
10.1%
10152
 
10.1%
9798
 
9.7%
9792
 
9.7%
7376
 
7.3%
5640
 
5.6%
5621
 
5.6%
3036
 
3.0%
2043
 
2.0%
Other values (341) 26228
26.1%
Distinct6897
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:50:01.904112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length12
Mean length10.2992
Min length4

Characters and Unicode

Total characters102992
Distinct characters21
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6393 ?
Unique (%)63.9%

Sample

1st row061-744-0116
2nd row정보없음
3rd row061-745-7720
4th row0507-1308-2938
5th row061-723-3330
ValueCountFrequency (%)
정보없음 2506
 
25.0%
1577-9621 25
 
0.2%
02-6916-1500 12
 
0.1%
1644-5425 7
 
0.1%
061 7
 
0.1%
1522-3232 6
 
0.1%
061-751-6262 5
 
< 0.1%
061-749-3351 5
 
< 0.1%
0503-7745-7258 4
 
< 0.1%
061-754-0921 4
 
< 0.1%
Other values (6888) 7429
74.2%
2023-12-13T07:50:02.284790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 14920
14.5%
0 13898
13.5%
1 11804
11.5%
7 10697
10.4%
6 8821
8.6%
5 7591
7.4%
2 6712
6.5%
4 6213
6.0%
3 5361
 
5.2%
8 3485
 
3.4%
Other values (11) 13490
13.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78029
75.8%
Dash Punctuation 14920
 
14.5%
Other Letter 10026
 
9.7%
Space Separator 12
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other Punctuation 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 13898
17.8%
1 11804
15.1%
7 10697
13.7%
6 8821
11.3%
5 7591
9.7%
2 6712
8.6%
4 6213
8.0%
3 5361
 
6.9%
8 3485
 
4.5%
9 3447
 
4.4%
Other Letter
ValueCountFrequency (%)
2506
25.0%
2506
25.0%
2506
25.0%
2506
25.0%
1
 
< 0.1%
1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 14920
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
: 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
V 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 92965
90.3%
Hangul 10026
 
9.7%
Latin 1
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 14920
16.0%
0 13898
14.9%
1 11804
12.7%
7 10697
11.5%
6 8821
9.5%
5 7591
8.2%
2 6712
7.2%
4 6213
6.7%
3 5361
 
5.8%
8 3485
 
3.7%
Other values (4) 3463
 
3.7%
Hangul
ValueCountFrequency (%)
2506
25.0%
2506
25.0%
2506
25.0%
2506
25.0%
1
 
< 0.1%
1
 
< 0.1%
Latin
ValueCountFrequency (%)
V 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92966
90.3%
Hangul 10026
 
9.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 14920
16.0%
0 13898
14.9%
1 11804
12.7%
7 10697
11.5%
6 8821
9.5%
5 7591
8.2%
2 6712
7.2%
4 6213
6.7%
3 5361
 
5.8%
8 3485
 
3.7%
Other values (5) 3464
 
3.7%
Hangul
ValueCountFrequency (%)
2506
25.0%
2506
25.0%
2506
25.0%
2506
25.0%
1
 
< 0.1%
1
 
< 0.1%
Distinct109
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:50:02.501498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length4
Mean length4.3969
Min length4

Characters and Unicode

Total characters43969
Distinct characters44
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)0.7%

Sample

1st row정보없음
2nd row정보없음
3rd row정보없음
4th row정보없음
5th row정보없음
ValueCountFrequency (%)
정보없음 9533
90.2%
274
 
2.6%
14:00 145
 
1.4%
12:30 94
 
0.9%
17:00 70
 
0.7%
13:00 61
 
0.6%
15:00 60
 
0.6%
15:00-17:00 51
 
0.5%
12:30-14:00 33
 
0.3%
12:00 30
 
0.3%
Other values (87) 223
 
2.1%
2023-12-13T07:50:02.894829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9533
21.7%
9533
21.7%
9533
21.7%
9533
21.7%
0 1646
 
3.7%
1 945
 
2.1%
: 944
 
2.1%
574
 
1.3%
- 454
 
1.0%
3 379
 
0.9%
Other values (34) 895
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38177
86.8%
Decimal Number 3785
 
8.6%
Other Punctuation 954
 
2.2%
Space Separator 574
 
1.3%
Dash Punctuation 454
 
1.0%
Math Symbol 23
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
9533
25.0%
9533
25.0%
9533
25.0%
9533
25.0%
7
 
< 0.1%
7
 
< 0.1%
7
 
< 0.1%
3
 
< 0.1%
3
 
< 0.1%
2
 
< 0.1%
Other values (15) 16
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
0 1646
43.5%
1 945
25.0%
3 379
 
10.0%
4 244
 
6.4%
2 207
 
5.5%
7 161
 
4.3%
5 138
 
3.6%
6 50
 
1.3%
8 11
 
0.3%
9 4
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 944
99.0%
, 6
 
0.6%
; 3
 
0.3%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
574
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 454
100.0%
Math Symbol
ValueCountFrequency (%)
~ 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38177
86.8%
Common 5792
 
13.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
9533
25.0%
9533
25.0%
9533
25.0%
9533
25.0%
7
 
< 0.1%
7
 
< 0.1%
7
 
< 0.1%
3
 
< 0.1%
3
 
< 0.1%
2
 
< 0.1%
Other values (15) 16
 
< 0.1%
Common
ValueCountFrequency (%)
0 1646
28.4%
1 945
16.3%
: 944
16.3%
574
 
9.9%
- 454
 
7.8%
3 379
 
6.5%
4 244
 
4.2%
2 207
 
3.6%
7 161
 
2.8%
5 138
 
2.4%
Other values (9) 100
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38177
86.8%
ASCII 5792
 
13.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
9533
25.0%
9533
25.0%
9533
25.0%
9533
25.0%
7
 
< 0.1%
7
 
< 0.1%
7
 
< 0.1%
3
 
< 0.1%
3
 
< 0.1%
2
 
< 0.1%
Other values (15) 16
 
< 0.1%
ASCII
ValueCountFrequency (%)
0 1646
28.4%
1 945
16.3%
: 944
16.3%
574
 
9.9%
- 454
 
7.8%
3 379
 
6.5%
4 244
 
4.2%
2 207
 
3.6%
7 161
 
2.8%
5 138
 
2.4%
Other values (9) 100
 
1.7%
Distinct265
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:50:03.140848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length4
Mean length4.4943
Min length1

Characters and Unicode

Total characters44943
Distinct characters130
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique182 ?
Unique (%)1.8%

Sample

1st row정보없음
2nd row정보없음
3rd row매주 주말
4th row정보없음
5th row매주 일요일
ValueCountFrequency (%)
정보없음 7648
64.5%
매주 1295
 
10.9%
일요일 972
 
8.2%
월요일 292
 
2.5%
연중무휴 223
 
1.9%
토,일요일 147
 
1.2%
137
 
1.2%
화요일 124
 
1.0%
일요일,공휴일 96
 
0.8%
수요일 91
 
0.8%
Other values (180) 837
 
7.1%
2023-12-13T07:50:03.516200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7675
17.1%
7650
17.0%
7648
17.0%
7648
17.0%
3665
8.2%
1979
 
4.4%
1863
 
4.1%
1401
 
3.1%
1366
 
3.0%
, 702
 
1.6%
Other values (120) 3346
7.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 42064
93.6%
Space Separator 1863
 
4.1%
Other Punctuation 726
 
1.6%
Decimal Number 264
 
0.6%
Close Punctuation 10
 
< 0.1%
Open Punctuation 9
 
< 0.1%
Math Symbol 3
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
7675
18.2%
7650
18.2%
7648
18.2%
7648
18.2%
3665
8.7%
1979
 
4.7%
1401
 
3.3%
1366
 
3.2%
440
 
1.0%
369
 
0.9%
Other values (98) 2223
 
5.3%
Decimal Number
ValueCountFrequency (%)
3 70
26.5%
1 68
25.8%
2 55
20.8%
4 51
19.3%
5 9
 
3.4%
0 6
 
2.3%
8 2
 
0.8%
7 1
 
0.4%
9 1
 
0.4%
6 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
, 702
96.7%
/ 21
 
2.9%
* 1
 
0.1%
. 1
 
0.1%
& 1
 
0.1%
Lowercase Letter
ValueCountFrequency (%)
s 2
66.7%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
1863
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 42064
93.6%
Common 2876
 
6.4%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
7675
18.2%
7650
18.2%
7648
18.2%
7648
18.2%
3665
8.7%
1979
 
4.7%
1401
 
3.3%
1366
 
3.2%
440
 
1.0%
369
 
0.9%
Other values (98) 2223
 
5.3%
Common
ValueCountFrequency (%)
1863
64.8%
, 702
 
24.4%
3 70
 
2.4%
1 68
 
2.4%
2 55
 
1.9%
4 51
 
1.8%
/ 21
 
0.7%
) 10
 
0.3%
5 9
 
0.3%
( 9
 
0.3%
Other values (10) 18
 
0.6%
Latin
ValueCountFrequency (%)
s 2
66.7%
n 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 42064
93.6%
ASCII 2879
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
7675
18.2%
7650
18.2%
7648
18.2%
7648
18.2%
3665
8.7%
1979
 
4.7%
1401
 
3.3%
1366
 
3.2%
440
 
1.0%
369
 
0.9%
Other values (98) 2223
 
5.3%
ASCII
ValueCountFrequency (%)
1863
64.7%
, 702
 
24.4%
3 70
 
2.4%
1 68
 
2.4%
2 55
 
1.9%
4 51
 
1.8%
/ 21
 
0.7%
) 10
 
0.3%
5 9
 
0.3%
( 9
 
0.3%
Other values (12) 21
 
0.7%
Distinct1558
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T07:50:03.836330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length126
Median length4
Mean length9.0215
Min length3

Characters and Unicode

Total characters90215
Distinct characters142
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

Unique1082 ?
Unique (%)10.8%

Sample

1st row정보없음
2nd row정보없음
3rd row10:00 - 22:00
4th row매일 10:00-22:00
5th row07:30 - 19:30
ValueCountFrequency (%)
정보없음 5495
30.8%
3003
16.8%
10:00 551
 
3.1%
09:00 459
 
2.6%
20:00 341
 
1.9%
11:00 331
 
1.9%
21:00 325
 
1.8%
매일 318
 
1.8%
22:00 305
 
1.7%
18:00 274
 
1.5%
Other values (1018) 6439
36.1%
2023-12-13T07:50:04.328114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22617
25.1%
: 9995
11.1%
7853
 
8.7%
1 6403
 
7.1%
5496
 
6.1%
5495
 
6.1%
5495
 
6.1%
5495
 
6.1%
- 4666
 
5.2%
2 4439
 
4.9%
Other values (132) 12261
13.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 40061
44.4%
Other Letter 25725
28.5%
Other Punctuation 10706
 
11.9%
Space Separator 7853
 
8.7%
Dash Punctuation 4666
 
5.2%
Math Symbol 643
 
0.7%
Lowercase Letter 227
 
0.3%
Close Punctuation 167
 
0.2%
Open Punctuation 166
 
0.2%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
5496
21.4%
5495
21.4%
5495
21.4%
5495
21.4%
757
 
2.9%
516
 
2.0%
385
 
1.5%
329
 
1.3%
313
 
1.2%
168
 
0.7%
Other values (104) 1276
 
5.0%
Decimal Number
ValueCountFrequency (%)
0 22617
56.5%
1 6403
 
16.0%
2 4439
 
11.1%
3 2268
 
5.7%
9 1576
 
3.9%
8 1065
 
2.7%
4 752
 
1.9%
7 452
 
1.1%
6 277
 
0.7%
5 212
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 9995
93.4%
, 421
 
3.9%
/ 234
 
2.2%
; 32
 
0.3%
& 23
 
0.2%
? 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
m 112
49.3%
p 67
29.5%
a 45
19.8%
o 1
 
0.4%
r 1
 
0.4%
h 1
 
0.4%
Space Separator
ValueCountFrequency (%)
7853
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4666
100.0%
Math Symbol
ValueCountFrequency (%)
~ 643
100.0%
Close Punctuation
ValueCountFrequency (%)
) 167
100.0%
Open Punctuation
ValueCountFrequency (%)
( 166
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 64262
71.2%
Hangul 25725
28.5%
Latin 228
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
5496
21.4%
5495
21.4%
5495
21.4%
5495
21.4%
757
 
2.9%
516
 
2.0%
385
 
1.5%
329
 
1.3%
313
 
1.2%
168
 
0.7%
Other values (104) 1276
 
5.0%
Common
ValueCountFrequency (%)
0 22617
35.2%
: 9995
15.6%
7853
 
12.2%
1 6403
 
10.0%
- 4666
 
7.3%
2 4439
 
6.9%
3 2268
 
3.5%
9 1576
 
2.5%
8 1065
 
1.7%
4 752
 
1.2%
Other values (11) 2628
 
4.1%
Latin
ValueCountFrequency (%)
m 112
49.1%
p 67
29.4%
a 45
19.7%
A 1
 
0.4%
o 1
 
0.4%
r 1
 
0.4%
h 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64490
71.5%
Hangul 25725
 
28.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22617
35.1%
: 9995
15.5%
7853
 
12.2%
1 6403
 
9.9%
- 4666
 
7.2%
2 4439
 
6.9%
3 2268
 
3.5%
9 1576
 
2.4%
8 1065
 
1.7%
4 752
 
1.2%
Other values (18) 2856
 
4.4%
Hangul
ValueCountFrequency (%)
5496
21.4%
5495
21.4%
5495
21.4%
5495
21.4%
757
 
2.9%
516
 
2.0%
385
 
1.5%
329
 
1.3%
313
 
1.2%
168
 
0.7%
Other values (104) 1276
 
5.0%

최종작성일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2022-11-21
10000 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-21
2nd row2022-11-21
3rd row2022-11-21
4th row2022-11-21
5th row2022-11-21

Common Values

ValueCountFrequency (%)
2022-11-21 10000
100.0%

Length

2023-12-13T07:50:04.513350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:50:04.603511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-21 10000
100.0%

Sample

시설명분점명소상공인 여부목록상세목록시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호휴게시간휴무일운영시간최종작성일
6589옥스피씨방(주차장)<NA>0주차시설주차장전남순천시조례동<NA>1361 번지봉화1길23 번34.953416127.48424957951전남 순천시 봉화1길 23 2층전남 순천시 조례동 1361061-744-0116정보없음정보없음정보없음2022-11-21
9239풍경이있는가구<NA>1도소매점가구전남순천시서면동산리92-1 번지죽평길2 번34.996115127.49498957906전남 순천시 서면 죽평길 2동산리 92-1정보없음정보없음정보없음정보없음2022-11-21
1866담은정신건강의학과의원<NA>0병원정신건강의학과전남순천시왕지동<NA>863-6 번지왕지2길4-20 번34.969105127.52009257932전남 순천시 왕지2길 4-20 2층전남 순천시 왕지동 863-6061-745-7720정보없음매주 주말10:00 - 22:002022-11-21
4069사랑그리고은혜교회(주차장)<NA>0주차시설주차장전남순천시남내동<NA>8-2 번지시민로47 번34.953984127.54503757942전남 순천시 시민로 47 황금보석전남 순천시 남내동 8-20507-1308-2938정보없음정보없음매일 10:00-22:002022-11-21
8691케이팝스타 코인노래연습장<NA>1오락 및 서비스업노래연습장업전남순천시해룡면신대리1985-2 번지신대3길6-10 번34.934023127.52919358011전라남도 순천시 해룡면 신대3길 6-10, 2층전라남도 순천시 해룡면 신대리 1985-2번지 2층061-723-3330정보없음매주 일요일07:30 - 19:302022-11-21
9625해법중국어신대해법중국어어학원1학교 및 학원중국어학원전남순천시해룡면신대리1978 번지향매로67 번34.934287127.24527658012전라남도 순천시 해룡면 향매로 67 광명빌딩 4층전라남도 순천시 해룡면 신대리 1978061-744-0888정보없음정보없음10:30-22:302022-11-21
7066유미네밥상<NA>1음식점한식전남순천시별량면봉림리608 번지별량길148 번34.871008127.22321358033전남 순천시 별량면 별량길 148전라남도 순천시 봉림리 608061-742-5950정보없음정보없음정보없음2022-11-21
6655와온한옥민박<NA>1숙박전통숙소전남순천시해룡면상내리667-1 번지와온1길23 번34.848364127.51048158025전라남도 순천시 해룡면 와온1길 23전라남도 순천시 해룡면 상내리 667-1061-722-880915:30 - 16:30정보없음11:30 - 19:302022-11-21
1026금당뼈다귀감자탕<NA>1음식점감자탕전남순천시조례동<NA>1597-12 번지장선배기길11 번34.953112127.44530757968전남 순천시 장선배기길 11 1층전남 순천시 조례동 1597-12061-751-8886정보없음정보없음정보없음2022-11-21
8203참마트제과<NA>1음식점 및 카페베이커리전남순천시인제동<NA>377-2 번지장평로45 번34.943949127.46578957959전남 순천시 장평로 45전남 순천시 인제동 377-2061-754-0990정보없음정보없음정보없음2022-11-21
시설명분점명소상공인 여부목록상세목록시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호휴게시간휴무일운영시간최종작성일
5415스시만월<NA>1음식점일식전남순천시왕지동<NA>851-14 번지왕지1길3-26 번34.971146127.54806557932전남 순천시 왕지1길 3-26전라남도 순천시 왕지동 851-14061-741-200015:30 - 17:30매주 일요일11:30 - 21:302022-11-21
8944토마토헤어<NA>1미용업미용업전남순천시매곡동<NA>407 번지북정3길28 번34.96624127.4996657940전라남도 순천시 북정3길 28 (매곡동,주공아파트2차 가동106호)전라남도 순천시 매곡동 407번지 주공아파트2차 가동106호061-724-3236정보없음정보없음정보없음2022-11-21
7405이화음악교습소<NA>1학교 및 학원피아노전남순천시왕지동<NA>863-5 번지왕지2길4-14 번34.969331127.5084557932전남 순천시 왕지2길 4-14 5층전라남도 순천시 왕지동 863-5정보없음정보없음정보없음정보없음2022-11-21
8572카페루빈신대점1음식점 및 카페카페, 디저트전남순천시해룡면신대리2038 번지신대로22 번34.927355127.52193658016전남 순천시 해룡면 신대로 22전라남도 순천시 신대리 2038061-726-9371정보없음정보없음매일 11:00-22:002022-11-21
1570네이처리퍼블릭순천점1도소매점화장품,향수전남순천시중앙동<NA>90-2 번지중앙6길2 번34.955196127.51774457942전남 순천시 중앙6길 2 1층전남 순천시 중앙동 90-2061-723-9501정보없음정보없음정보없음2022-11-21
6484오니움<NA>1음식점 및 카페카페, 디저트전남순천시오천동<NA>975-7 번지오천3길21-5 번34.93243127.42845757999전남 순천시 오천3길 21-5 1층전라남도 순천시 오천동 975-7정보없음정보없음정보없음정보없음2022-11-21
6320역전횟집(1층-판매하는곳)<NA>1도소매점수산물 판매전남순천시덕암동<NA>227-9 번지풍덕주택길29 번34.943653127.50142457963전남 순천시 풍덕주택길 29전라남도 순천시 덕암동 227-9061-722-2206정보없음정보없음정보없음2022-11-21
3926블루베리칼국수<NA>1음식점 및 카페칼국수, 만두전남순천시덕월동<NA>10-44 번지<NA><NA>34.924882127.494591<NA>전남 순천시 덕월동 10-44전라남도 순천시 덕월동 10-44061-722-7882정보없음매주 월요일12:00 - 01:002022-11-21
5553신기마을회관<NA>0공공시설마을회관전남순천시황전면회룡리345-1 번지신기길3 번35.110088127.4960957901전남 순천시 황전면 신기길 3전남 순천시 황전면 회룡리 345-10507-1454-1910정보없음토요일, 일요일14:00 - 20:002022-11-21
1966대용수산(창고)<NA>1사유지사유지전남순천시풍덕동<NA>867-10 번지풍덕주택길45 번34.94268127.4525757963전남 순천시 풍덕주택길 45전라남도 순천시 풍덕동 867-10061-722-6997정보없음정보없음정보없음2022-11-21