Overview

Dataset statistics

Number of variables7
Number of observations2149
Missing cells839
Missing cells (%)5.6%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory119.8 KiB
Average record size in memory57.1 B

Variable types

Categorical1
Text5
Numeric1

Dataset

Description수성구 식품관련업 현황_20200918
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3075317&dataSetDetailId=30753171f84889c3cff5&provdMethod=FILE

Alerts

Dataset has 2 (0.1%) duplicate rowsDuplicates
소재지전화 has 821 (38.2%) missing valuesMissing

Reproduction

Analysis started2023-12-10 19:17:15.083537
Analysis finished2023-12-10 19:17:17.079412
Duration2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct11
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
즉석판매제조가공업
704 
건강기능식품일반판매업
676 
집단급식소
254 
식품자동판매기영업
195 
식품제조가공업
106 
Other values (6)
214 

Length

Max length13
Median length11
Mean length8.8808748
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 704
32.8%
건강기능식품일반판매업 676
31.5%
집단급식소 254
 
11.8%
식품자동판매기영업 195
 
9.1%
식품제조가공업 106
 
4.9%
유통전문판매업 64
 
3.0%
식품소분업 61
 
2.8%
기타식품판매업 50
 
2.3%
집단급식소 식품판매업 20
 
0.9%
건강기능식품유통전문판매업 16
 
0.7%

Length

2023-12-11T04:17:17.206723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
즉석판매제조가공업 704
32.5%
건강기능식품일반판매업 676
31.2%
집단급식소 274
 
12.6%
식품자동판매기영업 195
 
9.0%
식품제조가공업 106
 
4.9%
유통전문판매업 64
 
3.0%
식품소분업 61
 
2.8%
기타식품판매업 50
 
2.3%
식품판매업 20
 
0.9%
건강기능식품유통전문판매업 16
 
0.7%

업소명
Text

Distinct1994
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Memory size16.9 KiB
2023-12-11T04:17:17.640580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length22
Mean length6.9260121
Min length1

Characters and Unicode

Total characters14884
Distinct characters688
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1880 ?
Unique (%)87.5%

Sample

1st row몸짱건설
2nd row(주)채이은
3rd row주식회사 리체바이오
4th row주식회사청보티앤씨
5th row(주)신바이오틱스전문믿을신바이오
ValueCountFrequency (%)
주식회사 16
 
0.7%
사회복지법인 8
 
0.3%
홈플러스 7
 
0.3%
애터미 7
 
0.3%
주)이랜드리테일동아백화점수성점 7
 
0.3%
주 7
 
0.3%
만촌점 6
 
0.3%
수성점 6
 
0.3%
롯데프리미엄푸드마켓황금점 5
 
0.2%
세븐일레븐 5
 
0.2%
Other values (2054) 2229
96.8%
2023-12-11T04:17:18.429773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 403
 
2.7%
점 382
 
2.6%
대 317
 
2.1%
구 272
 
1.8%
) 269
 
1.8%
( 266
 
1.8%
스 241
 
1.6%
주 229
 
1.5%
성 226
 
1.5%
마 215
 
1.4%
Other values (678) 12064
81.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13472
90.5%
Uppercase Letter 310
 
2.1%
Close Punctuation 269
 
1.8%
Open Punctuation 266
 
1.8%
Lowercase Letter 223
 
1.5%
Decimal Number 164
 
1.1%
Space Separator 154
 
1.0%
Other Punctuation 26
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 403
 
3.0%
점 382
 
2.8%
대 317
 
2.4%
구 272
 
2.0%
스 241
 
1.8%
주 229
 
1.7%
성 226
 
1.7%
마 215
 
1.6%
지 214
 
1.6%
원 206
 
1.5%
Other values (612) 10767
79.9%
Uppercase Letter
ValueCountFrequency (%)
C 39
12.6%
S 34
 
11.0%
G 31
 
10.0%
U 24
 
7.7%
B 18
 
5.8%
O 16
 
5.2%
F 15
 
4.8%
A 15
 
4.8%
I 13
 
4.2%
E 12
 
3.9%
Other values (13) 93
30.0%
Lowercase Letter
ValueCountFrequency (%)
e 28
12.6%
a 22
 
9.9%
o 22
 
9.9%
i 18
 
8.1%
s 16
 
7.2%
n 16
 
7.2%
t 14
 
6.3%
l 11
 
4.9%
r 10
 
4.5%
m 10
 
4.5%
Other values (13) 56
25.1%
Decimal Number
ValueCountFrequency (%)
2 54
32.9%
4 37
22.6%
5 28
17.1%
1 13
 
7.9%
3 9
 
5.5%
9 6
 
3.7%
0 6
 
3.7%
6 5
 
3.0%
8 3
 
1.8%
7 3
 
1.8%
Other Punctuation
ValueCountFrequency (%)
& 15
57.7%
. 4
 
15.4%
/ 3
 
11.5%
' 1
 
3.8%
: 1
 
3.8%
· 1
 
3.8%
, 1
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 269
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Space Separator
ValueCountFrequency (%)
154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13467
90.5%
Common 879
 
5.9%
Latin 533
 
3.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 403
 
3.0%
점 382
 
2.8%
대 317
 
2.4%
구 272
 
2.0%
스 241
 
1.8%
주 229
 
1.7%
성 226
 
1.7%
마 215
 
1.6%
지 214
 
1.6%
원 206
 
1.5%
Other values (607) 10762
79.9%
Latin
ValueCountFrequency (%)
C 39
 
7.3%
S 34
 
6.4%
G 31
 
5.8%
e 28
 
5.3%
U 24
 
4.5%
a 22
 
4.1%
o 22
 
4.1%
B 18
 
3.4%
i 18
 
3.4%
s 16
 
3.0%
Other values (36) 281
52.7%
Common
ValueCountFrequency (%)
) 269
30.6%
( 266
30.3%
154
17.5%
2 54
 
6.1%
4 37
 
4.2%
5 28
 
3.2%
& 15
 
1.7%
1 13
 
1.5%
3 9
 
1.0%
9 6
 
0.7%
Other values (10) 28
 
3.2%
Han
ValueCountFrequency (%)
男 1
20.0%
元 1
20.0%
淸 1
20.0%
水 1
20.0%
內 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13467
90.5%
ASCII 1411
 
9.5%
CJK 5
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 403
 
3.0%
점 382
 
2.8%
대 317
 
2.4%
구 272
 
2.0%
스 241
 
1.8%
주 229
 
1.7%
성 226
 
1.7%
마 215
 
1.6%
지 214
 
1.6%
원 206
 
1.5%
Other values (607) 10762
79.9%
ASCII
ValueCountFrequency (%)
) 269
19.1%
( 266
18.9%
154
 
10.9%
2 54
 
3.8%
C 39
 
2.8%
4 37
 
2.6%
S 34
 
2.4%
G 31
 
2.2%
e 28
 
2.0%
5 28
 
2.0%
Other values (55) 471
33.4%
CJK
ValueCountFrequency (%)
男 1
20.0%
元 1
20.0%
淸 1
20.0%
水 1
20.0%
內 1
20.0%
None
ValueCountFrequency (%)
· 1
100.0%

소재지(도로명)
Text

Distinct1977
Distinct (%)92.2%
Missing5
Missing (%)0.2%
Memory size16.9 KiB
2023-12-11T04:17:18.885020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length54
Mean length30.34375
Min length20

Characters and Unicode

Total characters65057
Distinct characters312
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

Unique1849 ?
Unique (%)86.2%

Sample

1st row대구광역시 수성구 달구벌대로 2265, 배조빌딩 6층 (수성동4가)
2nd row대구광역시 수성구 들안로 236, 1층 (수성동3가)
3rd row대구광역시 수성구 수성로 355, 3층 (수성동1가)
4th row대구광역시 수성구 청솔로12길 40, 상가동 3층 302호 (황금동, 황금미진아파트)
5th row대구광역시 수성구 파동로 131, 4층 (파동)
ValueCountFrequency (%)
대구광역시 2144
 
16.8%
수성구 2144
 
16.8%
1층 443
 
3.5%
범어동 304
 
2.4%
만촌동 261
 
2.0%
지산동 243
 
1.9%
달구벌대로 151
 
1.2%
황금동 145
 
1.1%
2층 134
 
1.1%
신매동 126
 
1.0%
Other values (1826) 6660
52.2%
2023-12-11T04:17:20.014160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10613
 
16.3%
구 4807
 
7.4%
동 2831
 
4.4%
수 2776
 
4.3%
1 2721
 
4.2%
대 2681
 
4.1%
성 2668
 
4.1%
시 2344
 
3.6%
( 2229
 
3.4%
) 2229
 
3.4%
Other values (302) 29158
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37227
57.2%
Decimal Number 10674
 
16.4%
Space Separator 10613
 
16.3%
Open Punctuation 2229
 
3.4%
Close Punctuation 2229
 
3.4%
Other Punctuation 1608
 
2.5%
Dash Punctuation 377
 
0.6%
Uppercase Letter 96
 
0.1%
Math Symbol 2
 
< 0.1%
Lowercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4807
12.9%
동 2831
 
7.6%
수 2776
 
7.5%
대 2681
 
7.2%
성 2668
 
7.2%
시 2344
 
6.3%
역 2150
 
5.8%
광 2148
 
5.8%
로 2146
 
5.8%
길 967
 
2.6%
Other values (269) 11709
31.5%
Uppercase Letter
ValueCountFrequency (%)
B 28
29.2%
A 26
27.1%
S 14
14.6%
K 10
 
10.4%
J 3
 
3.1%
N 2
 
2.1%
E 2
 
2.1%
C 2
 
2.1%
W 2
 
2.1%
G 2
 
2.1%
Other values (5) 5
 
5.2%
Decimal Number
ValueCountFrequency (%)
1 2721
25.5%
2 1611
15.1%
3 1268
11.9%
0 980
 
9.2%
4 907
 
8.5%
5 813
 
7.6%
6 770
 
7.2%
9 573
 
5.4%
7 534
 
5.0%
8 497
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 1604
99.8%
/ 4
 
0.2%
Space Separator
ValueCountFrequency (%)
10613
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2229
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 377
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37227
57.2%
Common 27732
42.6%
Latin 98
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4807
12.9%
동 2831
 
7.6%
수 2776
 
7.5%
대 2681
 
7.2%
성 2668
 
7.2%
시 2344
 
6.3%
역 2150
 
5.8%
광 2148
 
5.8%
로 2146
 
5.8%
길 967
 
2.6%
Other values (269) 11709
31.5%
Common
ValueCountFrequency (%)
10613
38.3%
1 2721
 
9.8%
( 2229
 
8.0%
) 2229
 
8.0%
2 1611
 
5.8%
, 1604
 
5.8%
3 1268
 
4.6%
0 980
 
3.5%
4 907
 
3.3%
5 813
 
2.9%
Other values (7) 2757
 
9.9%
Latin
ValueCountFrequency (%)
B 28
28.6%
A 26
26.5%
S 14
14.3%
K 10
 
10.2%
J 3
 
3.1%
N 2
 
2.0%
E 2
 
2.0%
C 2
 
2.0%
e 2
 
2.0%
W 2
 
2.0%
Other values (6) 7
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37227
57.2%
ASCII 27830
42.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10613
38.1%
1 2721
 
9.8%
( 2229
 
8.0%
) 2229
 
8.0%
2 1611
 
5.8%
, 1604
 
5.8%
3 1268
 
4.6%
0 980
 
3.5%
4 907
 
3.3%
5 813
 
2.9%
Other values (23) 2855
 
10.3%
Hangul
ValueCountFrequency (%)
구 4807
12.9%
동 2831
 
7.6%
수 2776
 
7.5%
대 2681
 
7.2%
성 2668
 
7.2%
시 2344
 
6.3%
역 2150
 
5.8%
광 2148
 
5.8%
로 2146
 
5.8%
길 967
 
2.6%
Other values (269) 11709
31.5%

우편번호(도로명)
Real number (ℝ)

Distinct272
Distinct (%)12.7%
Missing11
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean42152.714
Minimum42000
Maximum42288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.0 KiB
2023-12-11T04:17:20.253139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42000
5-th percentile42013
Q142087
median42158
Q342219
95-th percentile42275
Maximum42288
Range288
Interquartile range (IQR)132

Descriptive statistics

Standard deviation83.561858
Coefficient of variation (CV)0.0019823601
Kurtosis-1.0988993
Mean42152.714
Median Absolute Deviation (MAD)69
Skewness-0.14899142
Sum90122503
Variance6982.5842
MonotonicityNot monotonic
2023-12-11T04:17:20.613817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42275 40
 
1.9%
42198 37
 
1.7%
42268 35
 
1.6%
42007 34
 
1.6%
42037 33
 
1.5%
42274 27
 
1.3%
42212 27
 
1.3%
42250 27
 
1.3%
42256 27
 
1.3%
42176 24
 
1.1%
Other values (262) 1827
85.0%
ValueCountFrequency (%)
42000 3
 
0.1%
42001 8
 
0.4%
42002 2
 
0.1%
42003 2
 
0.1%
42004 5
 
0.2%
42005 6
 
0.3%
42006 11
 
0.5%
42007 34
1.6%
42008 3
 
0.1%
42009 12
 
0.6%
ValueCountFrequency (%)
42288 5
0.2%
42287 8
0.4%
42286 3
 
0.1%
42285 6
0.3%
42284 2
 
0.1%
42283 12
0.6%
42282 12
0.6%
42281 2
 
0.1%
42280 2
 
0.1%
42279 7
0.3%

소재지(지번)
Text

Distinct1944
Distinct (%)90.5%
Missing1
Missing (%)< 0.1%
Memory size16.9 KiB
2023-12-11T04:17:21.081971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length48
Mean length24.187151
Min length15

Characters and Unicode

Total characters51954
Distinct characters287
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

Unique1799 ?
Unique (%)83.8%

Sample

1st row대구광역시 수성구 수성동4가 1236-3 배조빌딩 6층
2nd row대구광역시 수성구 수성동3가 391-2 1층
3rd row대구광역시 수성구 수성동1가 126-9 3층
4th row대구광역시 수성구 황금동 705-1 황금미진아파트 3층 상가동 302호
5th row대구광역시 수성구 파동 160-14 4층
ValueCountFrequency (%)
대구광역시 2148
20.6%
수성구 2148
20.6%
1층 354
 
3.4%
범어동 327
 
3.1%
만촌동 287
 
2.7%
지산동 266
 
2.5%
황금동 159
 
1.5%
신매동 143
 
1.4%
범물동 129
 
1.2%
2층 104
 
1.0%
Other values (2220) 4383
42.0%
2023-12-11T04:17:21.838586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10164
19.6%
구 4331
 
8.3%
1 2928
 
5.6%
성 2502
 
4.8%
수 2477
 
4.8%
동 2439
 
4.7%
시 2301
 
4.4%
대 2199
 
4.2%
역 2154
 
4.1%
광 2150
 
4.1%
Other values (277) 18309
35.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28181
54.2%
Decimal Number 11599
22.3%
Space Separator 10164
 
19.6%
Dash Punctuation 1672
 
3.2%
Close Punctuation 106
 
0.2%
Open Punctuation 106
 
0.2%
Uppercase Letter 67
 
0.1%
Other Punctuation 56
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 4331
15.4%
성 2502
 
8.9%
수 2477
 
8.8%
동 2439
 
8.7%
시 2301
 
8.2%
대 2199
 
7.8%
역 2154
 
7.6%
광 2150
 
7.6%
층 680
 
2.4%
지 545
 
1.9%
Other values (248) 6403
22.7%
Uppercase Letter
ValueCountFrequency (%)
B 20
29.9%
A 15
22.4%
S 13
19.4%
K 9
13.4%
E 2
 
3.0%
J 2
 
3.0%
W 2
 
3.0%
I 1
 
1.5%
C 1
 
1.5%
N 1
 
1.5%
Decimal Number
ValueCountFrequency (%)
1 2928
25.2%
2 1523
13.1%
3 1208
10.4%
0 1106
 
9.5%
4 943
 
8.1%
5 906
 
7.8%
6 777
 
6.7%
7 755
 
6.5%
8 733
 
6.3%
9 720
 
6.2%
Other Punctuation
ValueCountFrequency (%)
, 52
92.9%
/ 4
 
7.1%
Space Separator
ValueCountFrequency (%)
10164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1672
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28181
54.2%
Common 23704
45.6%
Latin 69
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 4331
15.4%
성 2502
 
8.9%
수 2477
 
8.8%
동 2439
 
8.7%
시 2301
 
8.2%
대 2199
 
7.8%
역 2154
 
7.6%
광 2150
 
7.6%
층 680
 
2.4%
지 545
 
1.9%
Other values (248) 6403
22.7%
Common
ValueCountFrequency (%)
10164
42.9%
1 2928
 
12.4%
- 1672
 
7.1%
2 1523
 
6.4%
3 1208
 
5.1%
0 1106
 
4.7%
4 943
 
4.0%
5 906
 
3.8%
6 777
 
3.3%
7 755
 
3.2%
Other values (7) 1722
 
7.3%
Latin
ValueCountFrequency (%)
B 20
29.0%
A 15
21.7%
S 13
18.8%
K 9
13.0%
E 2
 
2.9%
J 2
 
2.9%
e 2
 
2.9%
W 2
 
2.9%
I 1
 
1.4%
C 1
 
1.4%
Other values (2) 2
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28181
54.2%
ASCII 23773
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10164
42.8%
1 2928
 
12.3%
- 1672
 
7.0%
2 1523
 
6.4%
3 1208
 
5.1%
0 1106
 
4.7%
4 943
 
4.0%
5 906
 
3.8%
6 777
 
3.3%
7 755
 
3.2%
Other values (19) 1791
 
7.5%
Hangul
ValueCountFrequency (%)
구 4331
15.4%
성 2502
 
8.9%
수 2477
 
8.8%
동 2439
 
8.7%
시 2301
 
8.2%
대 2199
 
7.8%
역 2154
 
7.6%
광 2150
 
7.6%
층 680
 
2.4%
지 545
 
1.9%
Other values (248) 6403
22.7%

우편번호(지번)
Text

Distinct107
Distinct (%)5.0%
Missing1
Missing (%)< 0.1%
Memory size16.9 KiB
2023-12-11T04:17:22.320030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters15036
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)1.0%

Sample

1st row706-836
2nd row706-834
3rd row706-831
4th row706-852
5th row706-849
ValueCountFrequency (%)
706-170 138
 
6.4%
706-220 91
 
4.2%
706-803 76
 
3.5%
706-140 70
 
3.3%
706-839 66
 
3.1%
706-852 56
 
2.6%
706-850 55
 
2.6%
706-841 55
 
2.6%
706-800 54
 
2.5%
706-836 54
 
2.5%
Other values (97) 1433
66.7%
2023-12-11T04:17:22.896895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3183
21.2%
7 2519
16.8%
6 2322
15.4%
- 2148
14.3%
8 1799
12.0%
2 802
 
5.3%
1 646
 
4.3%
3 645
 
4.3%
4 484
 
3.2%
5 285
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12888
85.7%
Dash Punctuation 2148
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3183
24.7%
7 2519
19.5%
6 2322
18.0%
8 1799
14.0%
2 802
 
6.2%
1 646
 
5.0%
3 645
 
5.0%
4 484
 
3.8%
5 285
 
2.2%
9 203
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 2148
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15036
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3183
21.2%
7 2519
16.8%
6 2322
15.4%
- 2148
14.3%
8 1799
12.0%
2 802
 
5.3%
1 646
 
4.3%
3 645
 
4.3%
4 484
 
3.2%
5 285
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15036
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3183
21.2%
7 2519
16.8%
6 2322
15.4%
- 2148
14.3%
8 1799
12.0%
2 802
 
5.3%
1 646
 
4.3%
3 645
 
4.3%
4 484
 
3.2%
5 285
 
1.9%

소재지전화
Text

MISSING 

Distinct1232
Distinct (%)92.8%
Missing821
Missing (%)38.2%
Memory size16.9 KiB
2023-12-11T04:17:23.266169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.012801
Min length9

Characters and Unicode

Total characters15953
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1167 ?
Unique (%)87.9%

Sample

1st row053-429-7172
2nd row053-746-3838
3rd row053-746-8870
4th row053-759-0907
5th row053-793-9898
ValueCountFrequency (%)
053-759-0907 8
 
0.6%
053-762-5601 6
 
0.5%
053-754-2122 4
 
0.3%
053-602-1234 4
 
0.3%
053-602-1052 4
 
0.3%
053-745-9888 4
 
0.3%
053-756-0091 4
 
0.3%
053-795-9777 4
 
0.3%
053-664-8124 3
 
0.2%
053-741-9904 3
 
0.2%
Other values (1222) 1284
96.7%
2023-12-11T04:17:23.857154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2650
16.6%
5 2278
14.3%
0 2250
14.1%
3 2039
12.8%
7 1769
11.1%
6 930
 
5.8%
2 898
 
5.6%
4 832
 
5.2%
1 810
 
5.1%
8 759
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13303
83.4%
Dash Punctuation 2650
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2278
17.1%
0 2250
16.9%
3 2039
15.3%
7 1769
13.3%
6 930
7.0%
2 898
 
6.8%
4 832
 
6.3%
1 810
 
6.1%
8 759
 
5.7%
9 738
 
5.5%
Dash Punctuation
ValueCountFrequency (%)
- 2650
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 15953
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2650
16.6%
5 2278
14.3%
0 2250
14.1%
3 2039
12.8%
7 1769
11.1%
6 930
 
5.8%
2 898
 
5.6%
4 832
 
5.2%
1 810
 
5.1%
8 759
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 15953
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2650
16.6%
5 2278
14.3%
0 2250
14.1%
3 2039
12.8%
7 1769
11.1%
6 930
 
5.8%
2 898
 
5.6%
4 832
 
5.2%
1 810
 
5.1%
8 759
 
4.8%

Interactions

2023-12-11T04:17:16.323618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T04:17:24.008698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명우편번호(도로명)
업종명1.0000.102
우편번호(도로명)0.1021.000
2023-12-11T04:17:24.137604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호(도로명)업종명
우편번호(도로명)1.0000.043
업종명0.0431.000

Missing values

2023-12-11T04:17:16.560839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:17:16.765182image/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.
2023-12-11T04:17:16.946698image/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

업종명업소명소재지(도로명)우편번호(도로명)소재지(지번)우편번호(지번)소재지전화
0건강기능식품유통전문판매업몸짱건설대구광역시 수성구 달구벌대로 2265, 배조빌딩 6층 (수성동4가)42007대구광역시 수성구 수성동4가 1236-3 배조빌딩 6층706-836<NA>
1건강기능식품유통전문판매업(주)채이은대구광역시 수성구 들안로 236, 1층 (수성동3가)42142대구광역시 수성구 수성동3가 391-2 1층706-834053-429-7172
2건강기능식품유통전문판매업주식회사 리체바이오대구광역시 수성구 수성로 355, 3층 (수성동1가)42122대구광역시 수성구 수성동1가 126-9 3층706-831053-746-3838
3건강기능식품유통전문판매업주식회사청보티앤씨대구광역시 수성구 청솔로12길 40, 상가동 3층 302호 (황금동, 황금미진아파트)42141대구광역시 수성구 황금동 705-1 황금미진아파트 3층 상가동 302호706-852053-746-8870
4건강기능식품유통전문판매업(주)신바이오틱스전문믿을신바이오대구광역시 수성구 파동로 131, 4층 (파동)42228대구광역시 수성구 파동 160-14 4층706-849053-759-0907
5건강기능식품유통전문판매업안상규벌꿀대구광역시 수성구 달구벌대로 3068 (시지동)42252대구광역시 수성구 시지동 245-5706-220053-793-9898
6건강기능식품유통전문판매업주식회사 지오메디대구광역시 수성구 상록로 37 (범어동)42014대구광역시 수성구 범어동 479-41706-816053-269-2500
7건강기능식품유통전문판매업(주)엔트라다대구광역시 수성구 동대구로 386 (범어동,(1304호))42020대구광역시 수성구 범어동 45-5 (1304호)706-818053-742-8186
8건강기능식품유통전문판매업돔바이오대구광역시 수성구 동대구로 336, 29층 2915호 (범어동, 마크팰리스 범어)42028대구광역시 수성구 범어동 177-3 마크팰리스 범어 29층 2915호706-820053-745-2876
9건강기능식품유통전문판매업(주)에쓰와이듀오대구광역시 수성구 파동로 131, 3층 (파동)42228대구광역시 수성구 파동 160-14 3층706-849053-759-0907
업종명업소명소재지(도로명)우편번호(도로명)소재지(지번)우편번호(지번)소재지전화
2139집단급식소 식품판매업농업회사법인(주)하나로유통대구광역시 수성구 지범로27길 3-2 (지산동)42193대구광역시 수성구 지산동 554706-839053-781-3860
2140집단급식소 식품판매업고산농업협동조합대구광역시 수성구 달구벌대로 3097 (시지동,외 1필지)42262대구광역시 수성구 시지동 133-3 외 1필지706-220053-792-6901
2141집단급식소 식품판매업숲대구광역시 수성구 팔현길 136, 2층 (고모동)42260대구광역시 수성구 고모동 90-1706-120053-795-9777
2142집단급식소 식품판매업주)맛뜨락축산대구광역시 수성구 천을로23길 25 (매호동)42267대구광역시 수성구 매호동 727-3706-140053-816-9300
2143집단급식소 식품판매업우정상회대구광역시 수성구 상화로 61 (상동,(1층))42160대구광역시 수성구 상동 66-11 (1층)706-827053-765-4985
2144집단급식소 식품판매업고소미소대구광역시 수성구 범어천로 68, 4층 (범어동)42140대구광역시 수성구 범어동 774-19 4층706-8251599-2082
2145집단급식소 식품판매업보라유통대구광역시 수성구 국채보상로194길 37 (범어동)42023대구광역시 수성구 범어동 418-13706-823<NA>
2146집단급식소 식품판매업누리에프앤비대구광역시 수성구 수성로29길 54-9 (중동)42156대구광역시 수성구 중동 605-6706-838<NA>
2147집단급식소 식품판매업교동농산대구광역시 수성구 파동로 100-1, 1층 (파동)42235대구광역시 수성구 파동 201-20706-849<NA>
2148집단급식소 식품판매업삼육두유시지대리점대구광역시 수성구 천을로31길 3-1, 1층 (매호동)42266대구광역시 수성구 매호동 1328-8 1층706-140<NA>

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)우편번호(도로명)소재지(지번)우편번호(지번)소재지전화# duplicates
0즉석판매제조가공업동아마트수성점대구광역시 수성구 수성로 393 (수성동4가)42007대구광역시 수성구 수성동4가 1090-8706-836053-754-21222
1즉석판매제조가공업롯데프리미엄푸드마켓황금점대구광역시 수성구 청수로 235, 종합상가동 지하1층 B01호 (황금동, 캐슬골드파크 2단지)42113대구광역시 수성구 황금동 366 캐슬골드파크 2단지 지하1층 종합상가동 B01호706-850053-762-56012