Overview

Dataset statistics

Number of variables7
Number of observations3712
Missing cells1604
Missing cells (%)6.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory206.8 KiB
Average record size in memory57.0 B

Variable types

Numeric1
Categorical1
DateTime1
Text4

Dataset

Description세종시 관내 모범음식점, 일반음식점, 커피숍, 분식집 등 정보
Author세종특별자치시
URLhttps://www.data.go.kr/data/3037705/fileData.do

Alerts

업종명 has constant value ""Constant
소재지전화 has 1570 (42.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:50:56.674483
Analysis finished2023-12-12 09:50:58.321313
Duration1.65 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct3712
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1856.5
Minimum1
Maximum3712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size32.8 KiB
2023-12-12T18:50:58.384424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile186.55
Q1928.75
median1856.5
Q32784.25
95-th percentile3526.45
Maximum3712
Range3711
Interquartile range (IQR)1855.5

Descriptive statistics

Standard deviation1071.7064
Coefficient of variation (CV)0.57727252
Kurtosis-1.2
Mean1856.5
Median Absolute Deviation (MAD)928
Skewness0
Sum6891328
Variance1148554.7
MonotonicityStrictly increasing
2023-12-12T18:50:58.516103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2481 1
 
< 0.1%
2469 1
 
< 0.1%
2470 1
 
< 0.1%
2471 1
 
< 0.1%
2472 1
 
< 0.1%
2473 1
 
< 0.1%
2474 1
 
< 0.1%
2475 1
 
< 0.1%
2476 1
 
< 0.1%
Other values (3702) 3702
99.7%
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 (%)
3712 1
< 0.1%
3711 1
< 0.1%
3710 1
< 0.1%
3709 1
< 0.1%
3708 1
< 0.1%
3707 1
< 0.1%
3706 1
< 0.1%
3705 1
< 0.1%
3704 1
< 0.1%
3703 1
< 0.1%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.1 KiB
일반음식점
3712 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 3712
100.0%

Length

2023-12-12T18:50:58.683732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:50:58.786894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 3712
100.0%
Distinct2183
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size29.1 KiB
Minimum1968-08-05 00:00:00
Maximum2021-09-30 00:00:00
2023-12-12T18:50:58.900054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:50:59.049147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct3674
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size29.1 KiB
2023-12-12T18:50:59.317282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length25
Mean length7.2289871
Min length1

Characters and Unicode

Total characters26834
Distinct characters876
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3640 ?
Unique (%)98.1%

Sample

1st row성운식당
2nd row세종식당
3rd row더비
4th row맛샘식당
5th row조치원집
ValueCountFrequency (%)
세종점 135
 
2.3%
조치원점 47
 
0.8%
세종시청점 46
 
0.8%
세종나성점 38
 
0.7%
세종 36
 
0.6%
보람점 35
 
0.6%
나성점 34
 
0.6%
도담점 33
 
0.6%
새롬점 31
 
0.5%
아름점 24
 
0.4%
Other values (4029) 5372
92.1%
2023-12-12T18:50:59.764639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2124
 
7.9%
1074
 
4.0%
723
 
2.7%
684
 
2.5%
429
 
1.6%
370
 
1.4%
351
 
1.3%
317
 
1.2%
297
 
1.1%
272
 
1.0%
Other values (866) 20193
75.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22715
84.7%
Space Separator 2124
 
7.9%
Lowercase Letter 586
 
2.2%
Uppercase Letter 477
 
1.8%
Decimal Number 345
 
1.3%
Open Punctuation 231
 
0.9%
Close Punctuation 231
 
0.9%
Other Punctuation 117
 
0.4%
Math Symbol 4
 
< 0.1%
Other Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1074
 
4.7%
723
 
3.2%
684
 
3.0%
429
 
1.9%
370
 
1.6%
351
 
1.5%
317
 
1.4%
297
 
1.3%
272
 
1.2%
269
 
1.2%
Other values (783) 17929
78.9%
Uppercase Letter
ValueCountFrequency (%)
A 41
 
8.6%
B 40
 
8.4%
C 39
 
8.2%
E 37
 
7.8%
H 31
 
6.5%
O 30
 
6.3%
T 27
 
5.7%
S 26
 
5.5%
G 23
 
4.8%
L 18
 
3.8%
Other values (16) 165
34.6%
Lowercase Letter
ValueCountFrequency (%)
e 91
15.5%
a 63
 
10.8%
o 50
 
8.5%
i 39
 
6.7%
s 36
 
6.1%
r 36
 
6.1%
l 29
 
4.9%
t 28
 
4.8%
n 27
 
4.6%
f 24
 
4.1%
Other values (15) 163
27.8%
Other Punctuation
ValueCountFrequency (%)
& 66
56.4%
, 15
 
12.8%
. 13
 
11.1%
' 8
 
6.8%
· 5
 
4.3%
# 2
 
1.7%
/ 2
 
1.7%
: 2
 
1.7%
@ 1
 
0.9%
; 1
 
0.9%
Other values (2) 2
 
1.7%
Decimal Number
ValueCountFrequency (%)
1 88
25.5%
2 57
16.5%
0 46
13.3%
9 39
11.3%
3 28
 
8.1%
5 24
 
7.0%
7 20
 
5.8%
4 15
 
4.3%
6 14
 
4.1%
8 14
 
4.1%
Open Punctuation
ValueCountFrequency (%)
( 230
99.6%
[ 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 230
99.6%
] 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 2
50.0%
+ 2
50.0%
Other Symbol
ValueCountFrequency (%)
2
66.7%
° 1
33.3%
Space Separator
ValueCountFrequency (%)
2124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22688
84.5%
Common 3056
 
11.4%
Latin 1063
 
4.0%
Han 27
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1074
 
4.7%
723
 
3.2%
684
 
3.0%
429
 
1.9%
370
 
1.6%
351
 
1.5%
317
 
1.4%
297
 
1.3%
272
 
1.2%
269
 
1.2%
Other values (761) 17902
78.9%
Latin
ValueCountFrequency (%)
e 91
 
8.6%
a 63
 
5.9%
o 50
 
4.7%
A 41
 
3.9%
B 40
 
3.8%
i 39
 
3.7%
C 39
 
3.7%
E 37
 
3.5%
s 36
 
3.4%
r 36
 
3.4%
Other values (41) 591
55.6%
Common
ValueCountFrequency (%)
2124
69.5%
( 230
 
7.5%
) 230
 
7.5%
1 88
 
2.9%
& 66
 
2.2%
2 57
 
1.9%
0 46
 
1.5%
9 39
 
1.3%
3 28
 
0.9%
5 24
 
0.8%
Other values (22) 124
 
4.1%
Han
ValueCountFrequency (%)
3
 
11.1%
2
 
7.4%
2
 
7.4%
2
 
7.4%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
1
 
3.7%
Other values (12) 12
44.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22685
84.5%
ASCII 4110
 
15.3%
CJK 26
 
0.1%
None 7
 
< 0.1%
Compat Jamo 3
 
< 0.1%
Letterlike Symbols 2
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2124
51.7%
( 230
 
5.6%
) 230
 
5.6%
e 91
 
2.2%
1 88
 
2.1%
& 66
 
1.6%
a 63
 
1.5%
2 57
 
1.4%
o 50
 
1.2%
0 46
 
1.1%
Other values (69) 1065
25.9%
Hangul
ValueCountFrequency (%)
1074
 
4.7%
723
 
3.2%
684
 
3.0%
429
 
1.9%
370
 
1.6%
351
 
1.5%
317
 
1.4%
297
 
1.3%
272
 
1.2%
269
 
1.2%
Other values (759) 17899
78.9%
None
ValueCountFrequency (%)
· 5
71.4%
° 1
 
14.3%
1
 
14.3%
CJK
ValueCountFrequency (%)
3
 
11.5%
2
 
7.7%
2
 
7.7%
2
 
7.7%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
1
 
3.8%
Other values (11) 11
42.3%
Letterlike Symbols
ValueCountFrequency (%)
2
100.0%
Compat Jamo
ValueCountFrequency (%)
2
66.7%
1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
Distinct3601
Distinct (%)97.9%
Missing33
Missing (%)0.9%
Memory size29.1 KiB
2023-12-12T18:51:00.267301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length56
Mean length33.355531
Min length17

Characters and Unicode

Total characters122715
Distinct characters438
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3533 ?
Unique (%)96.0%

Sample

1st row세종특별자치시 조치원읍 조치원3길 19
2nd row세종특별자치시 조치원읍 조치원8길 34-6
3rd row세종특별자치시 조치원읍 조치원로 3-1, 1층
4th row세종특별자치시 조치원읍 조치원8길 32
5th row세종특별자치시 조치원읍 조치원8길 30
ValueCountFrequency (%)
세종특별자치시 3679
 
16.2%
1층 1776
 
7.8%
조치원읍 814
 
3.6%
2층 519
 
2.3%
나성동 425
 
1.9%
한누리대로 397
 
1.7%
보람동 257
 
1.1%
어진동 234
 
1.0%
도담동 206
 
0.9%
보듬3로 196
 
0.9%
Other values (2534) 14264
62.7%
2023-12-12T18:51:00.991513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19092
 
15.6%
1 8158
 
6.6%
4654
 
3.8%
, 4293
 
3.5%
4292
 
3.5%
4225
 
3.4%
4083
 
3.3%
3842
 
3.1%
2 3752
 
3.1%
3679
 
3.0%
Other values (428) 62645
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69591
56.7%
Decimal Number 23482
 
19.1%
Space Separator 19092
 
15.6%
Other Punctuation 4322
 
3.5%
Open Punctuation 2274
 
1.9%
Close Punctuation 2274
 
1.9%
Dash Punctuation 858
 
0.7%
Uppercase Letter 515
 
0.4%
Lowercase Letter 135
 
0.1%
Math Symbol 97
 
0.1%
Other values (2) 75
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4654
 
6.7%
4292
 
6.2%
4225
 
6.1%
4083
 
5.9%
3842
 
5.5%
3679
 
5.3%
3679
 
5.3%
2752
 
4.0%
2691
 
3.9%
2638
 
3.8%
Other values (370) 33056
47.5%
Uppercase Letter
ValueCountFrequency (%)
B 167
32.4%
A 122
23.7%
S 41
 
8.0%
M 26
 
5.0%
F 24
 
4.7%
R 22
 
4.3%
G 18
 
3.5%
T 17
 
3.3%
K 16
 
3.1%
C 14
 
2.7%
Other values (10) 48
 
9.3%
Lowercase Letter
ValueCountFrequency (%)
l 38
28.1%
a 26
19.3%
e 23
17.0%
v 19
14.1%
i 19
14.1%
b 4
 
3.0%
c 1
 
0.7%
g 1
 
0.7%
n 1
 
0.7%
r 1
 
0.7%
Other values (2) 2
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 8158
34.7%
2 3752
16.0%
0 2683
 
11.4%
3 2229
 
9.5%
4 1411
 
6.0%
5 1272
 
5.4%
6 1071
 
4.6%
8 997
 
4.2%
9 963
 
4.1%
7 946
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 4293
99.3%
& 17
 
0.4%
@ 5
 
0.1%
. 4
 
0.1%
· 3
 
0.1%
Letter Number
ValueCountFrequency (%)
29
39.2%
26
35.1%
15
20.3%
3
 
4.1%
1
 
1.4%
Space Separator
ValueCountFrequency (%)
19092
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2274
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2274
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 858
100.0%
Math Symbol
ValueCountFrequency (%)
~ 97
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69591
56.7%
Common 52400
42.7%
Latin 724
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4654
 
6.7%
4292
 
6.2%
4225
 
6.1%
4083
 
5.9%
3842
 
5.5%
3679
 
5.3%
3679
 
5.3%
2752
 
4.0%
2691
 
3.9%
2638
 
3.8%
Other values (370) 33056
47.5%
Latin
ValueCountFrequency (%)
B 167
23.1%
A 122
16.9%
S 41
 
5.7%
l 38
 
5.2%
29
 
4.0%
M 26
 
3.6%
a 26
 
3.6%
26
 
3.6%
F 24
 
3.3%
e 23
 
3.2%
Other values (27) 202
27.9%
Common
ValueCountFrequency (%)
19092
36.4%
1 8158
15.6%
, 4293
 
8.2%
2 3752
 
7.2%
0 2683
 
5.1%
( 2274
 
4.3%
) 2274
 
4.3%
3 2229
 
4.3%
4 1411
 
2.7%
5 1272
 
2.4%
Other values (11) 4962
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69591
56.7%
ASCII 53046
43.2%
Number Forms 74
 
0.1%
None 3
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19092
36.0%
1 8158
15.4%
, 4293
 
8.1%
2 3752
 
7.1%
0 2683
 
5.1%
( 2274
 
4.3%
) 2274
 
4.3%
3 2229
 
4.2%
4 1411
 
2.7%
5 1272
 
2.4%
Other values (41) 5608
 
10.6%
Hangul
ValueCountFrequency (%)
4654
 
6.7%
4292
 
6.2%
4225
 
6.1%
4083
 
5.9%
3842
 
5.5%
3679
 
5.3%
3679
 
5.3%
2752
 
4.0%
2691
 
3.9%
2638
 
3.8%
Other values (370) 33056
47.5%
Number Forms
ValueCountFrequency (%)
29
39.2%
26
35.1%
15
20.3%
3
 
4.1%
1
 
1.4%
None
ValueCountFrequency (%)
· 3
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%
Distinct2395
Distinct (%)64.5%
Missing1
Missing (%)< 0.1%
Memory size29.1 KiB
2023-12-12T18:51:01.413388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length49
Mean length24.077338
Min length15

Characters and Unicode

Total characters89351
Distinct characters375
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1946 ?
Unique (%)52.4%

Sample

1st row세종특별자치시 조치원읍 원리 8-1
2nd row세종특별자치시 조치원읍 정리 24-4
3rd row세종특별자치시 조치원읍 원리 10-25 1층
4th row세종특별자치시 조치원읍 정리 24-7
5th row세종특별자치시 조치원읍 정리 24-1
ValueCountFrequency (%)
세종특별자치시 3711
 
23.2%
조치원읍 816
 
5.1%
나성동 425
 
2.7%
1층 304
 
1.9%
보람동 257
 
1.6%
어진동 236
 
1.5%
도담동 207
 
1.3%
금남면 185
 
1.2%
침산리 177
 
1.1%
장군면 148
 
0.9%
Other values (2559) 9542
59.6%
2023-12-12T18:51:01.953471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15730
 
17.6%
4573
 
5.1%
4128
 
4.6%
4042
 
4.5%
3936
 
4.4%
3837
 
4.3%
3712
 
4.2%
3711
 
4.2%
1 3514
 
3.9%
2337
 
2.6%
Other values (365) 39831
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 54430
60.9%
Decimal Number 15991
 
17.9%
Space Separator 15735
 
17.6%
Dash Punctuation 2126
 
2.4%
Open Punctuation 280
 
0.3%
Close Punctuation 280
 
0.3%
Uppercase Letter 222
 
0.2%
Other Punctuation 119
 
0.1%
Lowercase Letter 96
 
0.1%
Letter Number 66
 
0.1%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4573
 
8.4%
4128
 
7.6%
4042
 
7.4%
3936
 
7.2%
3837
 
7.0%
3712
 
6.8%
3711
 
6.8%
2337
 
4.3%
1812
 
3.3%
994
 
1.8%
Other values (313) 21348
39.2%
Uppercase Letter
ValueCountFrequency (%)
S 33
14.9%
B 30
13.5%
A 27
12.2%
M 25
11.3%
R 24
10.8%
K 14
6.3%
T 14
6.3%
G 14
6.3%
W 10
 
4.5%
C 8
 
3.6%
Other values (7) 23
10.4%
Decimal Number
ValueCountFrequency (%)
1 3514
22.0%
2 2088
13.1%
6 1660
10.4%
3 1653
10.3%
7 1571
9.8%
4 1287
 
8.0%
5 1220
 
7.6%
0 1124
 
7.0%
9 1003
 
6.3%
8 871
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 90
75.6%
& 13
 
10.9%
. 6
 
5.0%
@ 6
 
5.0%
· 3
 
2.5%
/ 1
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
l 30
31.2%
e 19
19.8%
a 15
15.6%
i 15
15.6%
v 15
15.6%
c 2
 
2.1%
Letter Number
ValueCountFrequency (%)
25
37.9%
23
34.8%
16
24.2%
1
 
1.5%
1
 
1.5%
Space Separator
ValueCountFrequency (%)
15730
> 99.9%
  5
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 4
80.0%
1
 
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 2126
100.0%
Open Punctuation
ValueCountFrequency (%)
( 280
100.0%
Close Punctuation
ValueCountFrequency (%)
) 280
100.0%
Other Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 54430
60.9%
Common 34537
38.7%
Latin 384
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4573
 
8.4%
4128
 
7.6%
4042
 
7.4%
3936
 
7.2%
3837
 
7.0%
3712
 
6.8%
3711
 
6.8%
2337
 
4.3%
1812
 
3.3%
994
 
1.8%
Other values (313) 21348
39.2%
Latin
ValueCountFrequency (%)
S 33
 
8.6%
B 30
 
7.8%
l 30
 
7.8%
A 27
 
7.0%
M 25
 
6.5%
25
 
6.5%
R 24
 
6.2%
23
 
6.0%
e 19
 
4.9%
16
 
4.2%
Other values (18) 132
34.4%
Common
ValueCountFrequency (%)
15730
45.5%
1 3514
 
10.2%
- 2126
 
6.2%
2 2088
 
6.0%
6 1660
 
4.8%
3 1653
 
4.8%
7 1571
 
4.5%
4 1287
 
3.7%
5 1220
 
3.5%
0 1124
 
3.3%
Other values (14) 2564
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 54430
60.9%
ASCII 34845
39.0%
Number Forms 66
 
0.1%
None 8
 
< 0.1%
Math Operators 1
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15730
45.1%
1 3514
 
10.1%
- 2126
 
6.1%
2 2088
 
6.0%
6 1660
 
4.8%
3 1653
 
4.7%
7 1571
 
4.5%
4 1287
 
3.7%
5 1220
 
3.5%
0 1124
 
3.2%
Other values (33) 2872
 
8.2%
Hangul
ValueCountFrequency (%)
4573
 
8.4%
4128
 
7.6%
4042
 
7.4%
3936
 
7.2%
3837
 
7.0%
3712
 
6.8%
3711
 
6.8%
2337
 
4.3%
1812
 
3.3%
994
 
1.8%
Other values (313) 21348
39.2%
Number Forms
ValueCountFrequency (%)
25
37.9%
23
34.8%
16
24.2%
1
 
1.5%
1
 
1.5%
None
ValueCountFrequency (%)
  5
62.5%
· 3
37.5%
Math Operators
ValueCountFrequency (%)
1
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
1
100.0%

소재지전화
Text

MISSING 

Distinct2090
Distinct (%)97.6%
Missing1570
Missing (%)42.3%
Memory size29.1 KiB
2023-12-12T18:51:02.189284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length13.933707
Min length10

Characters and Unicode

Total characters29846
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2045 ?
Unique (%)95.5%

Sample

1st row044 -862 -3862
2nd row044 -865 -3356
3rd row044 -865 -1292
4th row044 -862 -1435
5th row044 -865 -3021
ValueCountFrequency (%)
044 1957
31.9%
866 289
 
4.7%
862 287
 
4.7%
868 263
 
4.3%
865 216
 
3.5%
867 211
 
3.4%
863 204
 
3.3%
864 191
 
3.1%
275 57
 
0.9%
20
 
0.3%
Other values (1846) 2433
39.7%
2023-12-12T18:51:02.551166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 5124
17.2%
- 4284
14.4%
4122
13.8%
8 3263
10.9%
0 3214
10.8%
6 2974
10.0%
2 1444
 
4.8%
5 1331
 
4.5%
7 1134
 
3.8%
3 1131
 
3.8%
Other values (2) 1825
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21440
71.8%
Dash Punctuation 4284
 
14.4%
Space Separator 4122
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 5124
23.9%
8 3263
15.2%
0 3214
15.0%
6 2974
13.9%
2 1444
 
6.7%
5 1331
 
6.2%
7 1134
 
5.3%
3 1131
 
5.3%
9 997
 
4.7%
1 828
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 4284
100.0%
Space Separator
ValueCountFrequency (%)
4122
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 29846
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 5124
17.2%
- 4284
14.4%
4122
13.8%
8 3263
10.9%
0 3214
10.8%
6 2974
10.0%
2 1444
 
4.8%
5 1331
 
4.5%
7 1134
 
3.8%
3 1131
 
3.8%
Other values (2) 1825
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 29846
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 5124
17.2%
- 4284
14.4%
4122
13.8%
8 3263
10.9%
0 3214
10.8%
6 2974
10.0%
2 1444
 
4.8%
5 1331
 
4.5%
7 1134
 
3.8%
3 1131
 
3.8%
Other values (2) 1825
 
6.1%

Interactions

2023-12-12T18:50:57.867083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T18:50:58.017646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:50:58.155509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-12T18:50:58.265077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화
01일반음식점1975-06-14성운식당세종특별자치시 조치원읍 조치원3길 19세종특별자치시 조치원읍 원리 8-1044 -862 -3862
12일반음식점1968-08-05세종식당세종특별자치시 조치원읍 조치원8길 34-6세종특별자치시 조치원읍 정리 24-4044 -865 -3356
23일반음식점1968-08-06더비세종특별자치시 조치원읍 조치원로 3-1, 1층세종특별자치시 조치원읍 원리 10-25 1층044 -865 -1292
34일반음식점1969-02-10맛샘식당세종특별자치시 조치원읍 조치원8길 32세종특별자치시 조치원읍 정리 24-7044 -862 -1435
45일반음식점1969-09-02조치원집세종특별자치시 조치원읍 조치원8길 30세종특별자치시 조치원읍 정리 24-1044 -865 -3021
56일반음식점1971-03-15한방족발 곰나루세종특별자치시 조치원읍 조치원6길 34세종특별자치시 조치원읍 정리 29-2044 -865 -0948
67일반음식점1972-05-20내집닭갈비세종특별자치시 금남면 대평시장1길 3세종특별자치시 금남면 용포리 193-26<NA>
78일반음식점1973-11-16어순이와돈돌이세종특별자치시 조치원읍 새내12길 14세종특별자치시 조치원읍 원리 15-4044 -865 -6661
89일반음식점1975-02-24삼거리식당세종특별자치시 조치원읍 충현로 63세종특별자치시 조치원읍 죽림리 32-8044 -865 -3101
910일반음식점1976-05-14형제반점세종특별자치시 조치원읍 새내5길 8세종특별자치시 조치원읍 정리 99-3044 -866 -6607
연번업종명인허가일자업소명소재지(도로명)소재지(지번)소재지전화
37023703일반음식점2021-09-23고래뜰세종특별자치시 금남면 금남구즉로 760-26, 1층세종특별자치시 금남면 박산리 73-3<NA>
37033704일반음식점2021-09-24탐나종합어시장 세종조치원점세종특별자치시 조치원읍 신안새동네길 6, 1층세종특별자치시 조치원읍 신안리 35-13<NA>
37043705일반음식점2021-09-24누를황떡볶이 세종아름점세종특별자치시 보듬3로 104-11, 행복프라자 제1동 1층 101호 (아름동)세종특별자치시 아름동 1288 행복프라자<NA>
37053706일반음식점2021-09-27큰손가네세종특별자치시 한누리대로 273, 새롬씨티 2층 205-9호 (나성동)세종특별자치시 나성동 741 새롬씨티<NA>
37063707일반음식점2021-09-27또또찹쌀도나스세종특별자치시 금남면 용포로 90, 1층세종특별자치시 금남면 용포리 193-43 1층044-868 -8858
37073708일반음식점2021-09-28마라주방세종특별자치시 보듬3로 8-12, 라온프라이빗시티Ⅰ 2층 201호 (도담동)세종특별자치시 도담동 665 라온프라이빗시티Ⅰ<NA>
37083709일반음식점2021-09-28소마드로잉카페 세종나성점세종특별자치시 나성북로 21, 센트럴타워 3층 301,302(일부)호 (나성동)세종특별자치시 나성동 800 센트럴타워<NA>
37093710일반음식점2021-09-29다담스시다이닝세종특별자치시 나성북로 30, 퍼스트원 2층 270,271호 (나성동)세종특별자치시 나성동 361-50 퍼스트원<NA>
37103711일반음식점2021-09-30봉자국밥세종특별자치시 전의면 왕의물로 217-11, 1층세종특별자치시 전의면 관정리 311<NA>
37113712일반음식점2021-09-30루프탑홍카페세종특별자치시 금남면 호탄길 36, 3층세종특별자치시 금남면 호탄리 136044 -862 -8850