Overview

Dataset statistics

Number of variables9
Number of observations3745
Missing cells59
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory267.1 KiB
Average record size in memory73.0 B

Variable types

Numeric1
DateTime2
Text4
Categorical2

Dataset

Description관내 음식점 현황으로써 인허가 일자, 업소명, 소재지(도로명), 소재지(지번), 영업장면적, 기준일자 항목들을 제공
URLhttps://www.data.go.kr/data/15017412/fileData.do

Alerts

운영기관명 has constant value ""Constant
운영기관전화번호 has constant value ""Constant
기준일자 has constant value ""Constant
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:12:22.363082
Analysis finished2023-12-12 04:12:24.350773
Duration1.99 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct3745
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1873
Minimum1
Maximum3745
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size33.0 KiB
2023-12-12T13:12:24.465786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile188.2
Q1937
median1873
Q32809
95-th percentile3557.8
Maximum3745
Range3744
Interquartile range (IQR)1872

Descriptive statistics

Standard deviation1081.2327
Coefficient of variation (CV)0.5772732
Kurtosis-1.2
Mean1873
Median Absolute Deviation (MAD)936
Skewness0
Sum7014385
Variance1169064.2
MonotonicityStrictly increasing
2023-12-12T13:12:24.655417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2502 1
 
< 0.1%
2490 1
 
< 0.1%
2491 1
 
< 0.1%
2492 1
 
< 0.1%
2493 1
 
< 0.1%
2494 1
 
< 0.1%
2495 1
 
< 0.1%
2496 1
 
< 0.1%
2497 1
 
< 0.1%
Other values (3735) 3735
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 (%)
3745 1
< 0.1%
3744 1
< 0.1%
3743 1
< 0.1%
3742 1
< 0.1%
3741 1
< 0.1%
3740 1
< 0.1%
3739 1
< 0.1%
3738 1
< 0.1%
3737 1
< 0.1%
3736 1
< 0.1%

인허가일자
Date

Distinct2701
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
Minimum1974-05-01 00:00:00
Maximum2023-02-18 00:00:00
2023-12-12T13:12:24.821936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:25.017909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct3572
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
2023-12-12T13:12:25.389735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length6.9257677
Min length1

Characters and Unicode

Total characters25937
Distinct characters875
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

Unique3421 ?
Unique (%)91.3%

Sample

1st row한화장반점
2nd row달밤엔불닭발
3rd row장강
4th row옛날돼지국밥
5th row꼬꼬댁치킨
ValueCountFrequency (%)
주)현대그린푸드 43
 
0.9%
울산동구점 37
 
0.8%
전하점 29
 
0.6%
지에스(gs)25 22
 
0.5%
남목점 21
 
0.4%
동구점 21
 
0.4%
세븐일레븐 20
 
0.4%
일산점 19
 
0.4%
울산전하점 18
 
0.4%
씨유 18
 
0.4%
Other values (3864) 4484
94.8%
2023-12-12T13:12:26.024850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
987
 
3.8%
점 816
 
3.1%
산 516
 
2.0%
이 491
 
1.9%
) 477
 
1.8%
( 476
 
1.8%
식 361
 
1.4%
스 361
 
1.4%
대 352
 
1.4%
울 348
 
1.3%
Other values (865) 20752
80.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22277
85.9%
Space Separator 987
 
3.8%
Uppercase Letter 625
 
2.4%
Lowercase Letter 530
 
2.0%
Close Punctuation 477
 
1.8%
Open Punctuation 476
 
1.8%
Decimal Number 461
 
1.8%
Other Punctuation 85
 
0.3%
Other Symbol 9
 
< 0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 816
 
3.7%
산 516
 
2.3%
이 491
 
2.2%
식 361
 
1.6%
스 361
 
1.6%
대 352
 
1.6%
울 348
 
1.6%
주 320
 
1.4%
리 286
 
1.3%
동 280
 
1.3%
Other values (788) 18146
81.5%
Uppercase Letter
ValueCountFrequency (%)
C 76
 
12.2%
S 51
 
8.2%
G 50
 
8.0%
A 44
 
7.0%
E 42
 
6.7%
B 41
 
6.6%
U 36
 
5.8%
P 35
 
5.6%
O 25
 
4.0%
N 24
 
3.8%
Other values (16) 201
32.2%
Lowercase Letter
ValueCountFrequency (%)
e 71
13.4%
o 59
11.1%
a 55
10.4%
r 42
 
7.9%
n 34
 
6.4%
t 32
 
6.0%
l 29
 
5.5%
i 27
 
5.1%
u 24
 
4.5%
s 22
 
4.2%
Other values (15) 135
25.5%
Decimal Number
ValueCountFrequency (%)
2 117
25.4%
5 66
14.3%
0 58
12.6%
1 51
11.1%
4 45
 
9.8%
9 32
 
6.9%
3 26
 
5.6%
8 26
 
5.6%
7 21
 
4.6%
6 19
 
4.1%
Other Punctuation
ValueCountFrequency (%)
& 38
44.7%
. 23
27.1%
, 12
 
14.1%
: 5
 
5.9%
' 3
 
3.5%
· 2
 
2.4%
; 1
 
1.2%
! 1
 
1.2%
Math Symbol
ValueCountFrequency (%)
+ 1
33.3%
< 1
33.3%
> 1
33.3%
Space Separator
ValueCountFrequency (%)
987
100.0%
Close Punctuation
ValueCountFrequency (%)
) 477
100.0%
Open Punctuation
ValueCountFrequency (%)
( 476
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22277
85.9%
Common 2496
 
9.6%
Latin 1155
 
4.5%
Han 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 816
 
3.7%
산 516
 
2.3%
이 491
 
2.2%
식 361
 
1.6%
스 361
 
1.6%
대 352
 
1.6%
울 348
 
1.6%
주 320
 
1.4%
리 286
 
1.3%
동 280
 
1.3%
Other values (780) 18146
81.5%
Latin
ValueCountFrequency (%)
C 76
 
6.6%
e 71
 
6.1%
o 59
 
5.1%
a 55
 
4.8%
S 51
 
4.4%
G 50
 
4.3%
A 44
 
3.8%
E 42
 
3.6%
r 42
 
3.6%
B 41
 
3.5%
Other values (41) 624
54.0%
Common
ValueCountFrequency (%)
987
39.5%
) 477
19.1%
( 476
19.1%
2 117
 
4.7%
5 66
 
2.6%
0 58
 
2.3%
1 51
 
2.0%
4 45
 
1.8%
& 38
 
1.5%
9 32
 
1.3%
Other values (15) 149
 
6.0%
Han
ValueCountFrequency (%)
大 1
11.1%
辛 1
11.1%
香 1
11.1%
一 1
11.1%
房 1
11.1%
安 1
11.1%
味 1
11.1%
生 1
11.1%
喜 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22268
85.9%
ASCII 3649
 
14.1%
None 11
 
< 0.1%
CJK 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
987
27.0%
) 477
 
13.1%
( 476
 
13.0%
2 117
 
3.2%
C 76
 
2.1%
e 71
 
1.9%
5 66
 
1.8%
o 59
 
1.6%
0 58
 
1.6%
a 55
 
1.5%
Other values (65) 1207
33.1%
Hangul
ValueCountFrequency (%)
점 816
 
3.7%
산 516
 
2.3%
이 491
 
2.2%
식 361
 
1.6%
스 361
 
1.6%
대 352
 
1.6%
울 348
 
1.6%
주 320
 
1.4%
리 286
 
1.3%
동 280
 
1.3%
Other values (779) 18137
81.4%
None
ValueCountFrequency (%)
㈜ 9
81.8%
· 2
 
18.2%
CJK
ValueCountFrequency (%)
大 1
11.1%
辛 1
11.1%
香 1
11.1%
一 1
11.1%
房 1
11.1%
安 1
11.1%
味 1
11.1%
生 1
11.1%
喜 1
11.1%

소재지(도로명)
Text

Distinct3242
Distinct (%)87.2%
Missing26
Missing (%)0.7%
Memory size29.4 KiB
2023-12-12T13:12:26.433265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length57
Mean length27.664695
Min length20

Characters and Unicode

Total characters102885
Distinct characters326
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

Unique2910 ?
Unique (%)78.2%

Sample

1st row울산광역시 동구 동진4길 52 (방어동)
2nd row울산광역시 동구 내진길 45, 1층 (방어동)
3rd row울산광역시 동구 방어진순환도로 913 (서부동)
4th row울산광역시 동구 내진길 32 (방어동)
5th row울산광역시 동구 방어진순환도로 855 (전하동)
ValueCountFrequency (%)
울산광역시 3719
 
17.0%
동구 3719
 
17.0%
1층 1255
 
5.7%
방어동 787
 
3.6%
전하동 726
 
3.3%
화정동 576
 
2.6%
방어진순환도로 516
 
2.4%
일산동 504
 
2.3%
서부동 389
 
1.8%
동부동 300
 
1.4%
Other values (1592) 9366
42.9%
2023-12-12T13:12:27.128636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18139
17.6%
동 8269
 
8.0%
1 4636
 
4.5%
산 4430
 
4.3%
) 3941
 
3.8%
( 3940
 
3.8%
울 3768
 
3.7%
시 3747
 
3.6%
구 3733
 
3.6%
광 3719
 
3.6%
Other values (316) 44563
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 58561
56.9%
Space Separator 18139
 
17.6%
Decimal Number 14947
 
14.5%
Close Punctuation 3941
 
3.8%
Open Punctuation 3940
 
3.8%
Other Punctuation 2742
 
2.7%
Dash Punctuation 395
 
0.4%
Uppercase Letter 171
 
0.2%
Math Symbol 29
 
< 0.1%
Lowercase Letter 20
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8269
 
14.1%
산 4430
 
7.6%
울 3768
 
6.4%
시 3747
 
6.4%
구 3733
 
6.4%
광 3719
 
6.4%
역 3719
 
6.4%
길 2243
 
3.8%
층 2039
 
3.5%
로 1485
 
2.5%
Other values (279) 21409
36.6%
Uppercase Letter
ValueCountFrequency (%)
B 56
32.7%
A 36
21.1%
C 25
14.6%
E 15
 
8.8%
D 11
 
6.4%
K 7
 
4.1%
I 5
 
2.9%
R 4
 
2.3%
P 4
 
2.3%
S 2
 
1.2%
Other values (4) 6
 
3.5%
Decimal Number
ValueCountFrequency (%)
1 4636
31.0%
2 2027
13.6%
0 1392
 
9.3%
3 1303
 
8.7%
5 1162
 
7.8%
4 1062
 
7.1%
6 976
 
6.5%
7 830
 
5.6%
8 800
 
5.4%
9 759
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 2734
99.7%
' 4
 
0.1%
. 3
 
0.1%
& 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
e 16
80.0%
c 2
 
10.0%
b 1
 
5.0%
a 1
 
5.0%
Space Separator
ValueCountFrequency (%)
18139
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3941
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3940
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 395
100.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 58561
56.9%
Common 44133
42.9%
Latin 191
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8269
 
14.1%
산 4430
 
7.6%
울 3768
 
6.4%
시 3747
 
6.4%
구 3733
 
6.4%
광 3719
 
6.4%
역 3719
 
6.4%
길 2243
 
3.8%
층 2039
 
3.5%
로 1485
 
2.5%
Other values (279) 21409
36.6%
Common
ValueCountFrequency (%)
18139
41.1%
1 4636
 
10.5%
) 3941
 
8.9%
( 3940
 
8.9%
, 2734
 
6.2%
2 2027
 
4.6%
0 1392
 
3.2%
3 1303
 
3.0%
5 1162
 
2.6%
4 1062
 
2.4%
Other values (9) 3797
 
8.6%
Latin
ValueCountFrequency (%)
B 56
29.3%
A 36
18.8%
C 25
13.1%
e 16
 
8.4%
E 15
 
7.9%
D 11
 
5.8%
K 7
 
3.7%
I 5
 
2.6%
R 4
 
2.1%
P 4
 
2.1%
Other values (8) 12
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 58561
56.9%
ASCII 44324
43.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18139
40.9%
1 4636
 
10.5%
) 3941
 
8.9%
( 3940
 
8.9%
, 2734
 
6.2%
2 2027
 
4.6%
0 1392
 
3.1%
3 1303
 
2.9%
5 1162
 
2.6%
4 1062
 
2.4%
Other values (27) 3988
 
9.0%
Hangul
ValueCountFrequency (%)
동 8269
 
14.1%
산 4430
 
7.6%
울 3768
 
6.4%
시 3747
 
6.4%
구 3733
 
6.4%
광 3719
 
6.4%
역 3719
 
6.4%
길 2243
 
3.8%
층 2039
 
3.5%
로 1485
 
2.5%
Other values (279) 21409
36.6%

소재지(지번)
Text

Distinct2705
Distinct (%)72.9%
Missing33
Missing (%)0.9%
Memory size29.4 KiB
2023-12-12T13:12:27.519868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length48
Mean length21.427263
Min length5

Characters and Unicode

Total characters79538
Distinct characters295
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

Unique2131 ?
Unique (%)57.4%

Sample

1st row울산광역시 동구 방어동 127-12
2nd row울산광역시 동구 방어동 198-12
3rd row울산광역시 동구 서부동 113-124
4th row울산광역시 동구 방어동 188
5th row울산광역시 동구 전하동 300-4
ValueCountFrequency (%)
울산광역시 3710
22.9%
동구 3710
22.9%
방어동 853
 
5.3%
전하동 786
 
4.8%
화정동 640
 
3.9%
일산동 565
 
3.5%
서부동 447
 
2.8%
동부동 326
 
2.0%
지상1층 161
 
1.0%
1층 124
 
0.8%
Other values (2616) 4912
30.3%
2023-12-12T13:12:28.123845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16130
20.3%
동 7889
 
9.9%
산 4358
 
5.5%
1 4246
 
5.3%
울 3756
 
4.7%
시 3730
 
4.7%
구 3722
 
4.7%
광 3710
 
4.7%
역 3710
 
4.7%
- 3406
 
4.3%
Other values (285) 24881
31.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 41601
52.3%
Decimal Number 17793
22.4%
Space Separator 16130
 
20.3%
Dash Punctuation 3406
 
4.3%
Close Punctuation 219
 
0.3%
Open Punctuation 219
 
0.3%
Uppercase Letter 79
 
0.1%
Other Punctuation 62
 
0.1%
Lowercase Letter 16
 
< 0.1%
Math Symbol 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7889
19.0%
산 4358
10.5%
울 3756
9.0%
시 3730
9.0%
구 3722
8.9%
광 3710
8.9%
역 3710
8.9%
전 930
 
2.2%
하 930
 
2.2%
어 861
 
2.1%
Other values (253) 8005
19.2%
Uppercase Letter
ValueCountFrequency (%)
B 23
29.1%
A 17
21.5%
D 6
 
7.6%
C 6
 
7.6%
K 6
 
7.6%
I 5
 
6.3%
P 4
 
5.1%
R 4
 
5.1%
E 3
 
3.8%
N 3
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 4246
23.9%
3 1835
10.3%
2 1808
10.2%
5 1765
9.9%
6 1745
9.8%
4 1654
 
9.3%
0 1517
 
8.5%
9 1145
 
6.4%
7 1046
 
5.9%
8 1032
 
5.8%
Other Punctuation
ValueCountFrequency (%)
, 54
87.1%
. 4
 
6.5%
' 4
 
6.5%
Lowercase Letter
ValueCountFrequency (%)
e 14
87.5%
c 2
 
12.5%
Math Symbol
ValueCountFrequency (%)
~ 12
92.3%
+ 1
 
7.7%
Space Separator
ValueCountFrequency (%)
16130
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3406
100.0%
Close Punctuation
ValueCountFrequency (%)
) 219
100.0%
Open Punctuation
ValueCountFrequency (%)
( 219
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 41601
52.3%
Common 37842
47.6%
Latin 95
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7889
19.0%
산 4358
10.5%
울 3756
9.0%
시 3730
9.0%
구 3722
8.9%
광 3710
8.9%
역 3710
8.9%
전 930
 
2.2%
하 930
 
2.2%
어 861
 
2.1%
Other values (253) 8005
19.2%
Common
ValueCountFrequency (%)
16130
42.6%
1 4246
 
11.2%
- 3406
 
9.0%
3 1835
 
4.8%
2 1808
 
4.8%
5 1765
 
4.7%
6 1745
 
4.6%
4 1654
 
4.4%
0 1517
 
4.0%
9 1145
 
3.0%
Other values (9) 2591
 
6.8%
Latin
ValueCountFrequency (%)
B 23
24.2%
A 17
17.9%
e 14
14.7%
D 6
 
6.3%
C 6
 
6.3%
K 6
 
6.3%
I 5
 
5.3%
P 4
 
4.2%
R 4
 
4.2%
E 3
 
3.2%
Other values (3) 7
 
7.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 41601
52.3%
ASCII 37937
47.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16130
42.5%
1 4246
 
11.2%
- 3406
 
9.0%
3 1835
 
4.8%
2 1808
 
4.8%
5 1765
 
4.7%
6 1745
 
4.6%
4 1654
 
4.4%
0 1517
 
4.0%
9 1145
 
3.0%
Other values (22) 2686
 
7.1%
Hangul
ValueCountFrequency (%)
동 7889
19.0%
산 4358
10.5%
울 3756
9.0%
시 3730
9.0%
구 3722
8.9%
광 3710
8.9%
역 3710
8.9%
전 930
 
2.2%
하 930
 
2.2%
어 861
 
2.1%
Other values (253) 8005
19.2%

영업장면적
Text

Distinct2888
Distinct (%)77.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
2023-12-12T13:12:28.691806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length4.4552737
Min length1

Characters and Unicode

Total characters16685
Distinct characters12
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2481 ?
Unique (%)66.2%

Sample

1st row31.61
2nd row48.77
3rd row0
4th row63
5th row29.75
ValueCountFrequency (%)
0 328
 
8.8%
31.5 11
 
0.3%
40 8
 
0.2%
45 6
 
0.2%
30.1 5
 
0.1%
34.5 5
 
0.1%
39 5
 
0.1%
27.3 5
 
0.1%
13 5
 
0.1%
52.2 5
 
0.1%
Other values (2878) 3362
89.8%
2023-12-12T13:12:29.388523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 3200
19.2%
1 1785
10.7%
2 1642
9.8%
3 1505
9.0%
4 1408
8.4%
5 1340
8.0%
6 1271
 
7.6%
8 1219
 
7.3%
0 1119
 
6.7%
7 1101
 
6.6%
Other values (2) 1095
 
6.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13446
80.6%
Other Punctuation 3239
 
19.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1785
13.3%
2 1642
12.2%
3 1505
11.2%
4 1408
10.5%
5 1340
10.0%
6 1271
9.5%
8 1219
9.1%
0 1119
8.3%
7 1101
8.2%
9 1056
7.9%
Other Punctuation
ValueCountFrequency (%)
. 3200
98.8%
, 39
 
1.2%

Most occurring scripts

ValueCountFrequency (%)
Common 16685
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 3200
19.2%
1 1785
10.7%
2 1642
9.8%
3 1505
9.0%
4 1408
8.4%
5 1340
8.0%
6 1271
 
7.6%
8 1219
 
7.3%
0 1119
 
6.7%
7 1101
 
6.6%
Other values (2) 1095
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16685
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 3200
19.2%
1 1785
10.7%
2 1642
9.8%
3 1505
9.0%
4 1408
8.4%
5 1340
8.0%
6 1271
 
7.6%
8 1219
 
7.3%
0 1119
 
6.7%
7 1101
 
6.6%
Other values (2) 1095
 
6.6%

운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
울산광역시 동구 환경위생과
3745 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산광역시 동구 환경위생과
2nd row울산광역시 동구 환경위생과
3rd row울산광역시 동구 환경위생과
4th row울산광역시 동구 환경위생과
5th row울산광역시 동구 환경위생과

Common Values

ValueCountFrequency (%)
울산광역시 동구 환경위생과 3745
100.0%

Length

2023-12-12T13:12:29.593564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:12:29.701315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 3745
33.3%
동구 3745
33.3%
환경위생과 3745
33.3%

운영기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
052-209-3575
3745 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-209-3575
2nd row052-209-3575
3rd row052-209-3575
4th row052-209-3575
5th row052-209-3575

Common Values

ValueCountFrequency (%)
052-209-3575 3745
100.0%

Length

2023-12-12T13:12:29.811726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:12:29.922439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-209-3575 3745
100.0%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size29.4 KiB
Minimum2023-05-03 00:00:00
Maximum2023-05-03 00:00:00
2023-12-12T13:12:30.007396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:12:30.113645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T13:12:23.800158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T13:12:23.967043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:12:24.138208image/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.
2023-12-12T13:12:24.276243image/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

연번인허가일자업소명소재지(도로명)소재지(지번)영업장면적운영기관명운영기관전화번호기준일자
011976-11-15한화장반점울산광역시 동구 동진4길 52 (방어동)울산광역시 동구 방어동 127-1231.61울산광역시 동구 환경위생과052-209-35752023-05-03
121976-07-22달밤엔불닭발울산광역시 동구 내진길 45, 1층 (방어동)울산광역시 동구 방어동 198-1248.77울산광역시 동구 환경위생과052-209-35752023-05-03
231976-03-02장강울산광역시 동구 방어진순환도로 913 (서부동)울산광역시 동구 서부동 113-1240울산광역시 동구 환경위생과052-209-35752023-05-03
341977-08-01옛날돼지국밥울산광역시 동구 내진길 32 (방어동)울산광역시 동구 방어동 18863울산광역시 동구 환경위생과052-209-35752023-05-03
451977-01-09꼬꼬댁치킨울산광역시 동구 방어진순환도로 855 (전하동)울산광역시 동구 전하동 300-429.75울산광역시 동구 환경위생과052-209-35752023-05-03
561977-04-11속초빈대떡울산광역시 동구 명덕1길 7 (서부동)울산광역시 동구 서부동 181-1220.35울산광역시 동구 환경위생과052-209-35752023-05-03
671978-04-10상개동돼지국밥울산광역시 동구 방어진순환도로 929 (서부동)울산광역시 동구 서부동 181-3116울산광역시 동구 환경위생과052-209-35752023-05-03
781978-11-19고기굽는구이씨울산광역시 동구 명덕6길 21 (서부동)울산광역시 동구 서부동 113-2327.3울산광역시 동구 환경위생과052-209-35752023-05-03
891979-02-19포차천국울산광역시 동구 미포1길 7 (동부동)울산광역시 동구 동부동 194-7223.65울산광역시 동구 환경위생과052-209-35752023-05-03
9101979-11-14일미식당울산광역시 동구 명덕5길 29-1 (서부동)울산광역시 동구 서부동 181-2596.7울산광역시 동구 환경위생과052-209-35752023-05-03
연번인허가일자업소명소재지(도로명)소재지(지번)영업장면적운영기관명운영기관전화번호기준일자
373537362022-03-02건강연구소울산광역시 동구 옥류로 68, 1층 (동부동)울산광역시 동구 동부동 3970울산광역시 동구 환경위생과052-209-35752023-05-03
373637372022-03-03레일리울산광역시 동구 전하로 35, 101동 1508호 (전하동, 한라한빛타운)울산광역시 동구 전하동 618 한라한빛타운0울산광역시 동구 환경위생과052-209-35752023-05-03
373737382022-03-02인셀덤우리끼리2호울산광역시 동구 남목13길 38, 현대파크맨션 상가동 1층 110호 (동부동)울산광역시 동구 동부동 668-1 현대파크맨션 상가 상가동 110호0울산광역시 동구 환경위생과052-209-35752023-05-03
373837392022-03-07케이비상사지에스더프레시울산서부점울산광역시 동구 방어진순환도로 995-2, 서부회관 1층 (서부동)울산광역시 동구 서부동 257-44 서부회관1울산광역시 동구 환경위생과052-209-35752023-05-03
373937402022-03-07지에스더프레시울산동부점울산광역시 동구 안산로 50, 상가 122동 지하1층 (동부동, 현대패밀리동부아파트)울산광역시 동구 동부동 150 현대패밀리동부아파트2울산광역시 동구 환경위생과052-209-35752023-05-03
374037412022-03-14베스타울산광역시 동구 봉수로 250, 103동 1403호 (전하동, 울산전하푸르지오)울산광역시 동구 전하동 660-1 울산전하푸르지오0울산광역시 동구 환경위생과052-209-35752023-05-03
374137422022-03-28소울울산광역시 동구 방어진순환도로 507, 1층 (방어동)울산광역시 동구 방어동 924-200울산광역시 동구 환경위생과052-209-35752023-05-03
374237432022-03-29삠삐건강울산광역시 동구 봉수로 270, 104동 1701호 (전하동, 전하I'PARK)울산광역시 동구 전하동 640-1 전하I'PARK 104동 1701호0울산광역시 동구 환경위생과052-209-35752023-05-03
374337442023-01-12청아인헬스앤라이프울산광역시 동구 봉수로 140, 대송현대아파트 상가 105동 1층 202호 (화정동)울산광역시 동구 화정동 162 대송현대아파트 상가24.18울산광역시 동구 환경위생과052-209-35752023-05-03
374437452023-02-18패밀리울산광역시 동구 안산로 50, 104동 101호 (동부동, 현대패밀리동부아파트)울산광역시 동구 동부동 150 현대패밀리동부아파트 104동 101호0울산광역시 동구 환경위생과052-209-35752023-05-03