Overview

Dataset statistics

Number of variables7
Number of observations1670
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory93.1 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description대전광역시 서구 23.8.8.기준 휴게음식점 현황데이터 입니다.(순번, 업종명, 업소명, 도로명주소, 지번주소, 행정동명, 전화번호)
URLhttps://www.data.go.kr/data/15104537/fileData.do

Alerts

업종명 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:51:15.667911
Analysis finished2023-12-12 12:51:16.921475
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1670
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean835.5
Minimum1
Maximum1670
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.8 KiB
2023-12-12T21:51:17.006086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile84.45
Q1418.25
median835.5
Q31252.75
95-th percentile1586.55
Maximum1670
Range1669
Interquartile range (IQR)834.5

Descriptive statistics

Standard deviation482.23179
Coefficient of variation (CV)0.57717749
Kurtosis-1.2
Mean835.5
Median Absolute Deviation (MAD)417.5
Skewness0
Sum1395285
Variance232547.5
MonotonicityStrictly increasing
2023-12-12T21:51:17.138111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1046 1
 
0.1%
1122 1
 
0.1%
1121 1
 
0.1%
1120 1
 
0.1%
1119 1
 
0.1%
1118 1
 
0.1%
1117 1
 
0.1%
1116 1
 
0.1%
1115 1
 
0.1%
Other values (1660) 1660
99.4%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1670 1
0.1%
1669 1
0.1%
1668 1
0.1%
1667 1
0.1%
1666 1
0.1%
1665 1
0.1%
1664 1
0.1%
1663 1
0.1%
1662 1
0.1%
1661 1
0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
휴게음식점
1670 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
휴게음식점 1670
100.0%

Length

2023-12-12T21:51:17.270471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:51:17.373497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휴게음식점 1670
100.0%

업소명
Text

Distinct1641
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2023-12-12T21:51:17.640496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length23
Mean length8.6215569
Min length1

Characters and Unicode

Total characters14398
Distinct characters703
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

Unique1617 ?
Unique (%)96.8%

Sample

1st row경남
2nd row왕
3rd row엄지다방
4th row개미다방
5th row배스킨라빈스아이스크림
ValueCountFrequency (%)
세븐일레븐 70
 
2.9%
씨유 42
 
1.7%
gs25 35
 
1.5%
빽다방 27
 
1.1%
메가엠지씨커피 20
 
0.8%
지에스25 20
 
0.8%
대전관저점 19
 
0.8%
대전둔산점 17
 
0.7%
둔산점 17
 
0.7%
이마트24 17
 
0.7%
Other values (1719) 2124
88.2%
2023-12-12T21:51:18.190646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 776
 
5.4%
739
 
5.1%
대 521
 
3.6%
전 453
 
3.1%
스 390
 
2.7%
이 317
 
2.2%
피 234
 
1.6%
( 196
 
1.4%
) 196
 
1.4%
리 195
 
1.4%
Other values (693) 10381
72.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11493
79.8%
Space Separator 739
 
5.1%
Uppercase Letter 704
 
4.9%
Lowercase Letter 588
 
4.1%
Decimal Number 424
 
2.9%
Open Punctuation 196
 
1.4%
Close Punctuation 196
 
1.4%
Other Punctuation 52
 
0.4%
Connector Punctuation 4
 
< 0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 776
 
6.8%
대 521
 
4.5%
전 453
 
3.9%
스 390
 
3.4%
이 317
 
2.8%
피 234
 
2.0%
리 195
 
1.7%
커 194
 
1.7%
마 192
 
1.7%
카 176
 
1.5%
Other values (621) 8045
70.0%
Uppercase Letter
ValueCountFrequency (%)
C 98
13.9%
G 77
10.9%
S 76
 
10.8%
P 61
 
8.7%
E 50
 
7.1%
A 38
 
5.4%
O 34
 
4.8%
T 28
 
4.0%
R 27
 
3.8%
I 25
 
3.6%
Other values (16) 190
27.0%
Lowercase Letter
ValueCountFrequency (%)
e 101
17.2%
a 69
11.7%
o 61
10.4%
f 49
 
8.3%
t 35
 
6.0%
c 32
 
5.4%
n 27
 
4.6%
r 27
 
4.6%
i 26
 
4.4%
l 23
 
3.9%
Other values (14) 138
23.5%
Decimal Number
ValueCountFrequency (%)
2 144
34.0%
5 121
28.5%
3 42
 
9.9%
4 31
 
7.3%
1 31
 
7.3%
0 16
 
3.8%
7 13
 
3.1%
8 12
 
2.8%
9 11
 
2.6%
6 3
 
0.7%
Other Punctuation
ValueCountFrequency (%)
. 19
36.5%
& 15
28.8%
, 10
19.2%
' 4
 
7.7%
: 3
 
5.8%
# 1
 
1.9%
Space Separator
ValueCountFrequency (%)
739
100.0%
Open Punctuation
ValueCountFrequency (%)
( 196
100.0%
Close Punctuation
ValueCountFrequency (%)
) 196
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11489
79.8%
Common 1612
 
11.2%
Latin 1293
 
9.0%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 776
 
6.8%
대 521
 
4.5%
전 453
 
3.9%
스 390
 
3.4%
이 317
 
2.8%
피 234
 
2.0%
리 195
 
1.7%
커 194
 
1.7%
마 192
 
1.7%
카 176
 
1.5%
Other values (617) 8041
70.0%
Latin
ValueCountFrequency (%)
e 101
 
7.8%
C 98
 
7.6%
G 77
 
6.0%
S 76
 
5.9%
a 69
 
5.3%
o 61
 
4.7%
P 61
 
4.7%
E 50
 
3.9%
f 49
 
3.8%
A 38
 
2.9%
Other values (41) 613
47.4%
Common
ValueCountFrequency (%)
739
45.8%
( 196
 
12.2%
) 196
 
12.2%
2 144
 
8.9%
5 121
 
7.5%
3 42
 
2.6%
4 31
 
1.9%
1 31
 
1.9%
. 19
 
1.2%
0 16
 
1.0%
Other values (11) 77
 
4.8%
Han
ValueCountFrequency (%)
車 1
25.0%
火 1
25.0%
高 1
25.0%
人 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11489
79.8%
ASCII 2904
 
20.2%
CJK 4
 
< 0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 776
 
6.8%
대 521
 
4.5%
전 453
 
3.9%
스 390
 
3.4%
이 317
 
2.8%
피 234
 
2.0%
리 195
 
1.7%
커 194
 
1.7%
마 192
 
1.7%
카 176
 
1.5%
Other values (617) 8041
70.0%
ASCII
ValueCountFrequency (%)
739
25.4%
( 196
 
6.7%
) 196
 
6.7%
2 144
 
5.0%
5 121
 
4.2%
e 101
 
3.5%
C 98
 
3.4%
G 77
 
2.7%
S 76
 
2.6%
a 69
 
2.4%
Other values (61) 1087
37.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
100.0%
CJK
ValueCountFrequency (%)
車 1
25.0%
火 1
25.0%
高 1
25.0%
人 1
25.0%

소재지(도로명)
Text

Distinct1623
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2023-12-12T21:51:18.531842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length51
Mean length33.470659
Min length21

Characters and Unicode

Total characters55896
Distinct characters360
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1598 ?
Unique (%)95.7%

Sample

1st row대전광역시 서구 도솔로 99 (도마동)
2nd row대전광역시 서구 갈마로 295 (가장동)
3rd row대전광역시 서구 도마2길 79 (도마동)
4th row대전광역시 서구 정림로 74 (정림동)
5th row대전광역시 서구 청사서로 40 (월평동)
ValueCountFrequency (%)
대전광역시 1670
 
14.6%
서구 1670
 
14.6%
1층 1118
 
9.8%
일부호 384
 
3.4%
둔산동 293
 
2.6%
관저동 200
 
1.7%
일부 165
 
1.4%
탄방동 161
 
1.4%
갈마동 149
 
1.3%
도안동 124
 
1.1%
Other values (1493) 5518
48.2%
2023-12-12T21:51:19.189485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9797
 
17.5%
1 3377
 
6.0%
대 2040
 
3.6%
, 1962
 
3.5%
동 1908
 
3.4%
( 1907
 
3.4%
) 1907
 
3.4%
서 1741
 
3.1%
구 1715
 
3.1%
전 1700
 
3.0%
Other values (350) 27842
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30733
55.0%
Space Separator 9797
 
17.5%
Decimal Number 9228
 
16.5%
Other Punctuation 1967
 
3.5%
Open Punctuation 1907
 
3.4%
Close Punctuation 1907
 
3.4%
Dash Punctuation 235
 
0.4%
Uppercase Letter 99
 
0.2%
Lowercase Letter 20
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 2040
 
6.6%
동 1908
 
6.2%
서 1741
 
5.7%
구 1715
 
5.6%
전 1700
 
5.5%
시 1685
 
5.5%
역 1684
 
5.5%
광 1681
 
5.5%
로 1648
 
5.4%
층 1594
 
5.2%
Other values (304) 13337
43.4%
Uppercase Letter
ValueCountFrequency (%)
B 20
20.2%
A 18
18.2%
K 11
11.1%
D 9
9.1%
L 6
 
6.1%
U 5
 
5.1%
T 4
 
4.0%
Z 4
 
4.0%
P 4
 
4.0%
I 3
 
3.0%
Other values (8) 15
15.2%
Decimal Number
ValueCountFrequency (%)
1 3377
36.6%
2 1076
 
11.7%
0 853
 
9.2%
3 792
 
8.6%
5 672
 
7.3%
4 641
 
6.9%
6 555
 
6.0%
7 470
 
5.1%
8 426
 
4.6%
9 366
 
4.0%
Lowercase Letter
ValueCountFrequency (%)
e 7
35.0%
r 5
25.0%
v 2
 
10.0%
i 2
 
10.0%
t 1
 
5.0%
y 1
 
5.0%
o 1
 
5.0%
s 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 1962
99.7%
@ 2
 
0.1%
· 1
 
0.1%
& 1
 
0.1%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
9797
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1907
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1907
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 235
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30733
55.0%
Common 25044
44.8%
Latin 119
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 2040
 
6.6%
동 1908
 
6.2%
서 1741
 
5.7%
구 1715
 
5.6%
전 1700
 
5.5%
시 1685
 
5.5%
역 1684
 
5.5%
광 1681
 
5.5%
로 1648
 
5.4%
층 1594
 
5.2%
Other values (304) 13337
43.4%
Latin
ValueCountFrequency (%)
B 20
16.8%
A 18
15.1%
K 11
 
9.2%
D 9
 
7.6%
e 7
 
5.9%
L 6
 
5.0%
U 5
 
4.2%
r 5
 
4.2%
T 4
 
3.4%
Z 4
 
3.4%
Other values (16) 30
25.2%
Common
ValueCountFrequency (%)
9797
39.1%
1 3377
 
13.5%
, 1962
 
7.8%
( 1907
 
7.6%
) 1907
 
7.6%
2 1076
 
4.3%
0 853
 
3.4%
3 792
 
3.2%
5 672
 
2.7%
4 641
 
2.6%
Other values (10) 2060
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30733
55.0%
ASCII 25162
45.0%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9797
38.9%
1 3377
 
13.4%
, 1962
 
7.8%
( 1907
 
7.6%
) 1907
 
7.6%
2 1076
 
4.3%
0 853
 
3.4%
3 792
 
3.1%
5 672
 
2.7%
4 641
 
2.5%
Other values (35) 2178
 
8.7%
Hangul
ValueCountFrequency (%)
대 2040
 
6.6%
동 1908
 
6.2%
서 1741
 
5.7%
구 1715
 
5.6%
전 1700
 
5.5%
시 1685
 
5.5%
역 1684
 
5.5%
광 1681
 
5.5%
로 1648
 
5.4%
층 1594
 
5.2%
Other values (304) 13337
43.4%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(지번)
Text

Distinct1450
Distinct (%)86.9%
Missing2
Missing (%)0.1%
Memory size13.2 KiB
2023-12-12T21:51:19.560402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length38
Mean length20.824341
Min length15

Characters and Unicode

Total characters34735
Distinct characters345
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1321 ?
Unique (%)79.2%

Sample

1st row대전광역시 서구 도마동 60-12
2nd row대전광역시 서구 가장동 42-8
3rd row대전광역시 서구 도마동 135-6
4th row대전광역시 서구 정림동 531
5th row대전광역시 서구 월평동 262
ValueCountFrequency (%)
대전광역시 1668
22.3%
서구 1668
22.3%
둔산동 330
 
4.4%
관저동 205
 
2.7%
탄방동 174
 
2.3%
갈마동 153
 
2.0%
월평동 130
 
1.7%
1층 126
 
1.7%
도안동 125
 
1.7%
도마동 111
 
1.5%
Other values (1590) 2795
37.3%
2023-12-12T21:51:20.076581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7453
21.5%
1 1747
 
5.0%
대 1721
 
5.0%
전 1692
 
4.9%
동 1691
 
4.9%
시 1681
 
4.8%
광 1678
 
4.8%
구 1676
 
4.8%
서 1675
 
4.8%
역 1671
 
4.8%
Other values (335) 12050
34.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 19504
56.2%
Space Separator 7453
 
21.5%
Decimal Number 6884
 
19.8%
Dash Punctuation 587
 
1.7%
Open Punctuation 94
 
0.3%
Close Punctuation 94
 
0.3%
Uppercase Letter 70
 
0.2%
Other Punctuation 26
 
0.1%
Lowercase Letter 22
 
0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1721
 
8.8%
전 1692
 
8.7%
동 1691
 
8.7%
시 1681
 
8.6%
광 1678
 
8.6%
구 1676
 
8.6%
서 1675
 
8.6%
역 1671
 
8.6%
산 352
 
1.8%
둔 346
 
1.8%
Other values (289) 5321
27.3%
Uppercase Letter
ValueCountFrequency (%)
A 11
15.7%
K 9
12.9%
D 7
10.0%
L 6
8.6%
B 6
8.6%
P 5
7.1%
U 5
7.1%
Z 4
 
5.7%
I 3
 
4.3%
T 3
 
4.3%
Other values (7) 11
15.7%
Decimal Number
ValueCountFrequency (%)
1 1747
25.4%
2 725
10.5%
3 711
10.3%
4 620
 
9.0%
0 585
 
8.5%
5 557
 
8.1%
9 520
 
7.6%
6 489
 
7.1%
8 476
 
6.9%
7 454
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
e 7
31.8%
r 5
22.7%
s 2
 
9.1%
v 2
 
9.1%
i 2
 
9.1%
k 1
 
4.5%
y 1
 
4.5%
a 1
 
4.5%
t 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 20
76.9%
· 2
 
7.7%
@ 2
 
7.7%
. 1
 
3.8%
& 1
 
3.8%
Space Separator
ValueCountFrequency (%)
7453
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 587
100.0%
Open Punctuation
ValueCountFrequency (%)
( 94
100.0%
Close Punctuation
ValueCountFrequency (%)
) 94
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 19504
56.2%
Common 15139
43.6%
Latin 92
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1721
 
8.8%
전 1692
 
8.7%
동 1691
 
8.7%
시 1681
 
8.6%
광 1678
 
8.6%
구 1676
 
8.6%
서 1675
 
8.6%
역 1671
 
8.6%
산 352
 
1.8%
둔 346
 
1.8%
Other values (289) 5321
27.3%
Latin
ValueCountFrequency (%)
A 11
12.0%
K 9
 
9.8%
e 7
 
7.6%
D 7
 
7.6%
L 6
 
6.5%
B 6
 
6.5%
r 5
 
5.4%
P 5
 
5.4%
U 5
 
5.4%
Z 4
 
4.3%
Other values (16) 27
29.3%
Common
ValueCountFrequency (%)
7453
49.2%
1 1747
 
11.5%
2 725
 
4.8%
3 711
 
4.7%
4 620
 
4.1%
- 587
 
3.9%
0 585
 
3.9%
5 557
 
3.7%
9 520
 
3.4%
6 489
 
3.2%
Other values (10) 1145
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 19504
56.2%
ASCII 15229
43.8%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7453
48.9%
1 1747
 
11.5%
2 725
 
4.8%
3 711
 
4.7%
4 620
 
4.1%
- 587
 
3.9%
0 585
 
3.8%
5 557
 
3.7%
9 520
 
3.4%
6 489
 
3.2%
Other values (35) 1235
 
8.1%
Hangul
ValueCountFrequency (%)
대 1721
 
8.8%
전 1692
 
8.7%
동 1691
 
8.7%
시 1681
 
8.6%
광 1678
 
8.6%
구 1676
 
8.6%
서 1675
 
8.6%
역 1671
 
8.6%
산 352
 
1.8%
둔 346
 
1.8%
Other values (289) 5321
27.3%
None
ValueCountFrequency (%)
· 2
100.0%

소재지전화
Text

Distinct456
Distinct (%)27.3%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
2023-12-12T21:51:20.464680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length9.1497006
Min length8

Characters and Unicode

Total characters15280
Distinct characters18
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique449 ?
Unique (%)26.9%

Sample

1st row042-522-9797
2nd row042-523-8737
3rd row042-532-5928
4th row개인번호로비공개
5th row042-485-3100
ValueCountFrequency (%)
개인번호로비공개 1205
72.2%
042-718-1234 5
 
0.3%
042-718-1052 3
 
0.2%
042-488-5614 2
 
0.1%
042-527-5270 2
 
0.1%
070-7017-0390 2
 
0.1%
070-4247-6231 2
 
0.1%
042-483-5646 1
 
0.1%
042-721-1325 1
 
0.1%
042-537-1006 1
 
0.1%
Other values (446) 446
 
26.7%
2023-12-12T21:51:20.995545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
개 2410
15.8%
인 1205
 
7.9%
번 1205
 
7.9%
호 1205
 
7.9%
로 1205
 
7.9%
비 1205
 
7.9%
공 1205
 
7.9%
- 930
 
6.1%
4 867
 
5.7%
2 830
 
5.4%
Other values (8) 3013
19.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9640
63.1%
Decimal Number 4710
30.8%
Dash Punctuation 930
 
6.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 867
18.4%
2 830
17.6%
0 779
16.5%
5 429
9.1%
8 399
8.5%
7 359
7.6%
3 329
 
7.0%
1 303
 
6.4%
6 216
 
4.6%
9 199
 
4.2%
Other Letter
ValueCountFrequency (%)
개 2410
25.0%
인 1205
12.5%
번 1205
12.5%
호 1205
12.5%
로 1205
12.5%
비 1205
12.5%
공 1205
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 930
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9640
63.1%
Common 5640
36.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 930
16.5%
4 867
15.4%
2 830
14.7%
0 779
13.8%
5 429
7.6%
8 399
7.1%
7 359
 
6.4%
3 329
 
5.8%
1 303
 
5.4%
6 216
 
3.8%
Hangul
ValueCountFrequency (%)
개 2410
25.0%
인 1205
12.5%
번 1205
12.5%
호 1205
12.5%
로 1205
12.5%
비 1205
12.5%
공 1205
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9640
63.1%
ASCII 5640
36.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
개 2410
25.0%
인 1205
12.5%
번 1205
12.5%
호 1205
12.5%
로 1205
12.5%
비 1205
12.5%
공 1205
12.5%
ASCII
ValueCountFrequency (%)
- 930
16.5%
4 867
15.4%
2 830
14.7%
0 779
13.8%
5 429
7.6%
8 399
7.1%
7 359
 
6.4%
3 329
 
5.8%
1 303
 
5.4%
6 216
 
3.8%

행정동명
Categorical

Distinct26
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size13.2 KiB
둔산2동
194 
탄방동
174 
관저2동
136 
도안동
125 
괴정동
106 
Other values (21)
935 

Length

Max length4
Median length4
Mean length3.551497
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도마1동
2nd row가장동
3rd row도마1동
4th row도마2동
5th row월평2동

Common Values

ValueCountFrequency (%)
둔산2동 194
 
11.6%
탄방동 174
 
10.4%
관저2동 136
 
8.1%
도안동 125
 
7.5%
괴정동 106
 
6.3%
둔산1동 98
 
5.9%
갈마1동 83
 
5.0%
월평1동 77
 
4.6%
도마1동 73
 
4.4%
갈마2동 70
 
4.2%
Other values (16) 534
32.0%

Length

2023-12-12T21:51:21.177537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
둔산2동 194
 
11.6%
탄방동 174
 
10.4%
관저2동 136
 
8.1%
도안동 125
 
7.5%
괴정동 106
 
6.3%
둔산1동 98
 
5.9%
갈마1동 83
 
5.0%
월평1동 77
 
4.6%
도마1동 73
 
4.4%
갈마2동 70
 
4.2%
Other values (16) 534
32.0%

Interactions

2023-12-12T21:51:16.557989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:51:21.282447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동명
연번1.0000.275
행정동명0.2751.000
2023-12-12T21:51:21.651282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동명
연번1.0000.100
행정동명0.1001.000

Missing values

2023-12-12T21:51:16.730674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:51:16.864171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

연번업종명업소명소재지(도로명)소재지(지번)소재지전화행정동명
01휴게음식점경남대전광역시 서구 도솔로 99 (도마동)대전광역시 서구 도마동 60-12042-522-9797도마1동
12휴게음식점왕대전광역시 서구 갈마로 295 (가장동)대전광역시 서구 가장동 42-8042-523-8737가장동
23휴게음식점엄지다방대전광역시 서구 도마2길 79 (도마동)대전광역시 서구 도마동 135-6042-532-5928도마1동
34휴게음식점개미다방대전광역시 서구 정림로 74 (정림동)대전광역시 서구 정림동 531개인번호로비공개도마2동
45휴게음식점배스킨라빈스아이스크림대전광역시 서구 청사서로 40 (월평동)대전광역시 서구 월평동 262042-485-3100월평2동
56휴게음식점여왕다방대전광역시 서구 도산로 134 (도마동)대전광역시 서구 도마동 66-13개인번호로비공개도마2동
67휴게음식점더큰도시락 배재대점대전광역시 서구 배재로 155-40 (도마동)대전광역시 서구 도마동 439-6042-716-5110도마2동
78휴게음식점배스킨라빈스 공작점대전광역시 서구 문정로 166 (둔산동)대전광역시 서구 둔산동 1880042-472-3160둔산3동
89휴게음식점구내식당대전광역시 서구 월드컵대로484번길 77, 가동 B02호 (월평동)대전광역시 서구 월평동 118, 가동 B02호042-524-7443월평1동
910휴게음식점도미노피자둔산점대전광역시 서구 문정로 170 (둔산동,(1층))대전광역시 서구 둔산동 1878 (1층)042-487-3082둔산3동
연번업종명업소명소재지(도로명)소재지(지번)소재지전화행정동명
16601661휴게음식점스타벅스 둔산대덕대로점대전광역시 서구 대덕대로 200, 1층 101호 (둔산동)대전광역시 서구 둔산동 1165042-471-4448둔산2동
16611662휴게음식점메가엠지씨커피 대전가수원도서관점대전광역시 서구 가수원로 83, 상가동 지하1층 B106호 (가수원동, 모아드림아파트)대전광역시 서구 가수원동 1392 모아드림아파트개인번호로비공개가수원동
16621663휴게음식점(주)제이와이에스유통대전광역시 서구 대덕대로 211, 지하2층 일부호 (둔산동)대전광역시 서구 둔산동 1036 갤러리아타임월드백화점개인번호로비공개둔산2동
16631664휴게음식점케이크룸대전광역시 서구 가장로 56-4, 1층 일부호 (괴정동)대전광역시 서구 괴정동 96-8개인번호로비공개괴정동
16641665휴게음식점시즌글라스대전 협동조합대전광역시 서구 복수남로32번길 43, 1층 일부호 (복수동)대전광역시 서구 복수동 478-1개인번호로비공개복수동
16651666휴게음식점과일이 맛있는 집대전광역시 서구 용문로 108-4, 1층 (용문동)대전광역시 서구 용문동 281-33개인번호로비공개용문동
16661667휴게음식점THE BARN BERLIN 대전 갤러리아 타임월드점대전광역시 서구 대덕대로 211, 지하1층 일부호 (둔산동)대전광역시 서구 둔산동 1036 갤러리아타임월드백화점개인번호로비공개둔산2동
16671668휴게음식점지피 커피대전광역시 서구 용소로 47, 1층 (도안동)대전광역시 서구 도안동 1880개인번호로비공개도안동
16681669휴게음식점대단한 탕후루 도안점대전광역시 서구 도안동로11번길 45, KD U PLAZA 1층 120호 (도안동)대전광역시 서구 도안동 1774 KD U PLAZA개인번호로비공개도안동
16691670휴게음식점든든_수제샌드위치 수제바삭튀김대전광역시 서구 둔산로 133, 1층 113호 (둔산동)대전광역시 서구 둔산동 1457개인번호로비공개둔산1동