Overview

Dataset statistics

Number of variables7
Number of observations2563
Missing cells1554
Missing cells (%)8.7%
Duplicate rows228
Duplicate rows (%)8.9%
Total size in memory142.8 KiB
Average record size in memory57.1 B

Variable types

Categorical1
Text5
Numeric1

Dataset

Description대구광역시 수성구_식품관련업 현황_20221116
Author대구광역시 수성구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=3075317&dataSetDetailId=30753171af17db00f555&provdMethod=FILE

Alerts

Dataset has 228 (8.9%) duplicate rowsDuplicates
소재지전화 has 1539 (60.0%) missing valuesMissing

Reproduction

Analysis started2023-12-10 19:18:56.690874
Analysis finished2023-12-10 19:18:58.972609
Duration2.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

Distinct12
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
즉석판매제조가공업
843 
건강기능식품일반판매업
772 
집단급식소
373 
식품제조가공업
183 
식품자동판매기영업
129 
Other values (7)
263 

Length

Max length13
Median length11
Mean length8.7007413
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 843
32.9%
건강기능식품일반판매업 772
30.1%
집단급식소 373
14.6%
식품제조가공업 183
 
7.1%
식품자동판매기영업 129
 
5.0%
유통전문판매업 102
 
4.0%
식품소분업 68
 
2.7%
기타식품판매업 42
 
1.6%
건강기능식품유통전문판매업 28
 
1.1%
집단급식소 식품판매업 14
 
0.5%
Other values (2) 9
 
0.4%

Length

2023-12-11T04:18:59.123411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
즉석판매제조가공업 843
32.7%
건강기능식품일반판매업 772
30.0%
집단급식소 387
15.0%
식품제조가공업 183
 
7.1%
식품자동판매기영업 129
 
5.0%
유통전문판매업 102
 
4.0%
식품소분업 68
 
2.6%
기타식품판매업 42
 
1.6%
건강기능식품유통전문판매업 28
 
1.1%
식품판매업 14
 
0.5%
Other values (2) 9
 
0.3%

업소명
Text

Distinct2162
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2023-12-11T04:18:59.582094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length25
Mean length6.9461568
Min length1

Characters and Unicode

Total characters17803
Distinct characters727
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

Unique1828 ?
Unique (%)71.3%

Sample

1st row비비타임
2nd row대덕생명과학
3rd row주식회사 지오메디
4th row(주)채이은
5th row이전한방연구회
ValueCountFrequency (%)
주식회사 13
 
0.5%
사회복지법인 11
 
0.4%
주)이랜드리테일동아백화점수성점 10
 
0.4%
주 6
 
0.2%
애터미 6
 
0.2%
coffee 5
 
0.2%
롯데프리미엄푸드마켓황금점 5
 
0.2%
나인바이오팜 5
 
0.2%
서울떡집 4
 
0.1%
이마트24 4
 
0.1%
Other values (2210) 2617
97.4%
2023-12-11T04:19:00.288354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 506
 
2.8%
점 373
 
2.1%
스 337
 
1.9%
대 323
 
1.8%
) 298
 
1.7%
( 295
 
1.7%
주 295
 
1.7%
구 276
 
1.6%
원 262
 
1.5%
리 254
 
1.4%
Other values (717) 14584
81.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15983
89.8%
Lowercase Letter 491
 
2.8%
Uppercase Letter 400
 
2.2%
Close Punctuation 298
 
1.7%
Open Punctuation 295
 
1.7%
Decimal Number 186
 
1.0%
Space Separator 123
 
0.7%
Other Punctuation 27
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 506
 
3.2%
점 373
 
2.3%
스 337
 
2.1%
대 323
 
2.0%
주 295
 
1.8%
구 276
 
1.7%
원 262
 
1.6%
리 254
 
1.6%
어 240
 
1.5%
사 238
 
1.5%
Other values (648) 12879
80.6%
Lowercase Letter
ValueCountFrequency (%)
e 75
15.3%
a 48
 
9.8%
o 46
 
9.4%
t 33
 
6.7%
i 29
 
5.9%
n 29
 
5.9%
l 27
 
5.5%
s 25
 
5.1%
r 25
 
5.1%
f 25
 
5.1%
Other values (14) 129
26.3%
Uppercase Letter
ValueCountFrequency (%)
S 44
 
11.0%
C 37
 
9.2%
O 26
 
6.5%
A 23
 
5.8%
U 22
 
5.5%
E 21
 
5.2%
T 20
 
5.0%
K 20
 
5.0%
G 19
 
4.8%
I 19
 
4.8%
Other values (14) 149
37.2%
Decimal Number
ValueCountFrequency (%)
2 57
30.6%
4 37
19.9%
5 26
14.0%
1 24
12.9%
0 11
 
5.9%
9 9
 
4.8%
3 9
 
4.8%
8 7
 
3.8%
6 4
 
2.2%
7 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
& 12
44.4%
. 6
22.2%
' 2
 
7.4%
· 2
 
7.4%
: 2
 
7.4%
, 1
 
3.7%
; 1
 
3.7%
/ 1
 
3.7%
Close Punctuation
ValueCountFrequency (%)
) 298
100.0%
Open Punctuation
ValueCountFrequency (%)
( 295
100.0%
Space Separator
ValueCountFrequency (%)
123
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15977
89.7%
Common 929
 
5.2%
Latin 891
 
5.0%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 506
 
3.2%
점 373
 
2.3%
스 337
 
2.1%
대 323
 
2.0%
주 295
 
1.8%
구 276
 
1.7%
원 262
 
1.6%
리 254
 
1.6%
어 240
 
1.5%
사 238
 
1.5%
Other values (644) 12873
80.6%
Latin
ValueCountFrequency (%)
e 75
 
8.4%
a 48
 
5.4%
o 46
 
5.2%
S 44
 
4.9%
C 37
 
4.2%
t 33
 
3.7%
i 29
 
3.3%
n 29
 
3.3%
l 27
 
3.0%
O 26
 
2.9%
Other values (38) 497
55.8%
Common
ValueCountFrequency (%)
) 298
32.1%
( 295
31.8%
123
13.2%
2 57
 
6.1%
4 37
 
4.0%
5 26
 
2.8%
1 24
 
2.6%
& 12
 
1.3%
0 11
 
1.2%
9 9
 
1.0%
Other values (11) 37
 
4.0%
Han
ValueCountFrequency (%)
三 3
50.0%
男 1
 
16.7%
淸 1
 
16.7%
水 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15977
89.7%
ASCII 1818
 
10.2%
CJK 6
 
< 0.1%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 506
 
3.2%
점 373
 
2.3%
스 337
 
2.1%
대 323
 
2.0%
주 295
 
1.8%
구 276
 
1.7%
원 262
 
1.6%
리 254
 
1.6%
어 240
 
1.5%
사 238
 
1.5%
Other values (644) 12873
80.6%
ASCII
ValueCountFrequency (%)
) 298
 
16.4%
( 295
 
16.2%
123
 
6.8%
e 75
 
4.1%
2 57
 
3.1%
a 48
 
2.6%
o 46
 
2.5%
S 44
 
2.4%
C 37
 
2.0%
4 37
 
2.0%
Other values (58) 758
41.7%
CJK
ValueCountFrequency (%)
三 3
50.0%
男 1
 
16.7%
淸 1
 
16.7%
水 1
 
16.7%
None
ValueCountFrequency (%)
· 2
100.0%

소재지(도로명)
Text

Distinct2143
Distinct (%)83.7%
Missing4
Missing (%)0.2%
Memory size20.2 KiB
2023-12-11T04:19:00.755374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length55
Mean length31.725674
Min length20

Characters and Unicode

Total characters81186
Distinct characters327
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

Unique1791 ?
Unique (%)70.0%

Sample

1st row대구광역시 수성구 동대구로29길 54-13, 3층 (황금동)
2nd row대구광역시 수성구 무학로 113-17, 1층 (두산동)
3rd row대구광역시 수성구 상록로 37 (범어동)
4th row대구광역시 수성구 들안로 236, 1층 (수성동3가)
5th row대구광역시 수성구 신천동로 136, 대구한의대, 대구한방병원,대구TP한방센터 J동 6층 다호 (상동)
ValueCountFrequency (%)
대구광역시 2559
 
16.0%
수성구 2559
 
16.0%
1층 798
 
5.0%
범어동 429
 
2.7%
지산동 304
 
1.9%
만촌동 286
 
1.8%
2층 222
 
1.4%
황금동 176
 
1.1%
달구벌대로 159
 
1.0%
신매동 155
 
1.0%
Other values (1925) 8377
52.3%
2023-12-11T04:19:01.456914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13466
 
16.6%
구 5746
 
7.1%
1 3666
 
4.5%
동 3458
 
4.3%
수 3341
 
4.1%
대 3220
 
4.0%
성 3212
 
4.0%
시 2877
 
3.5%
( 2601
 
3.2%
) 2601
 
3.2%
Other values (317) 36998
45.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45745
56.3%
Decimal Number 13817
 
17.0%
Space Separator 13466
 
16.6%
Open Punctuation 2601
 
3.2%
Close Punctuation 2601
 
3.2%
Other Punctuation 2350
 
2.9%
Dash Punctuation 476
 
0.6%
Uppercase Letter 125
 
0.2%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5746
 
12.6%
동 3458
 
7.6%
수 3341
 
7.3%
대 3220
 
7.0%
성 3212
 
7.0%
시 2877
 
6.3%
역 2566
 
5.6%
광 2561
 
5.6%
로 2558
 
5.6%
층 1469
 
3.2%
Other values (282) 14737
32.2%
Uppercase Letter
ValueCountFrequency (%)
B 31
24.8%
A 26
20.8%
S 19
15.2%
K 13
10.4%
C 7
 
5.6%
J 7
 
5.6%
W 4
 
3.2%
G 3
 
2.4%
N 3
 
2.4%
I 2
 
1.6%
Other values (7) 10
 
8.0%
Decimal Number
ValueCountFrequency (%)
1 3666
26.5%
2 2100
15.2%
3 1495
10.8%
0 1404
 
10.2%
4 1185
 
8.6%
5 1025
 
7.4%
6 924
 
6.7%
7 692
 
5.0%
9 678
 
4.9%
8 648
 
4.7%
Other Punctuation
ValueCountFrequency (%)
, 2347
99.9%
/ 3
 
0.1%
Space Separator
ValueCountFrequency (%)
13466
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2601
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2601
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 476
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45745
56.3%
Common 35313
43.5%
Latin 128
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5746
 
12.6%
동 3458
 
7.6%
수 3341
 
7.3%
대 3220
 
7.0%
성 3212
 
7.0%
시 2877
 
6.3%
역 2566
 
5.6%
광 2561
 
5.6%
로 2558
 
5.6%
층 1469
 
3.2%
Other values (282) 14737
32.2%
Latin
ValueCountFrequency (%)
B 31
24.2%
A 26
20.3%
S 19
14.8%
K 13
10.2%
C 7
 
5.5%
J 7
 
5.5%
W 4
 
3.1%
G 3
 
2.3%
N 3
 
2.3%
e 3
 
2.3%
Other values (8) 12
 
9.4%
Common
ValueCountFrequency (%)
13466
38.1%
1 3666
 
10.4%
( 2601
 
7.4%
) 2601
 
7.4%
, 2347
 
6.6%
2 2100
 
5.9%
3 1495
 
4.2%
0 1404
 
4.0%
4 1185
 
3.4%
5 1025
 
2.9%
Other values (7) 3423
 
9.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45745
56.3%
ASCII 35441
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13466
38.0%
1 3666
 
10.3%
( 2601
 
7.3%
) 2601
 
7.3%
, 2347
 
6.6%
2 2100
 
5.9%
3 1495
 
4.2%
0 1404
 
4.0%
4 1185
 
3.3%
5 1025
 
2.9%
Other values (25) 3551
 
10.0%
Hangul
ValueCountFrequency (%)
구 5746
 
12.6%
동 3458
 
7.6%
수 3341
 
7.3%
대 3220
 
7.0%
성 3212
 
7.0%
시 2877
 
6.3%
역 2566
 
5.6%
광 2561
 
5.6%
로 2558
 
5.6%
층 1469
 
3.2%
Other values (282) 14737
32.2%

우편번호(도로명)
Real number (ℝ)

Distinct270
Distinct (%)10.6%
Missing11
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean42153.52
Minimum42000
Maximum42288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size22.7 KiB
2023-12-11T04:19:01.692815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum42000
5-th percentile42013.55
Q142087
median42159
Q342223
95-th percentile42275
Maximum42288
Range288
Interquartile range (IQR)136

Descriptive statistics

Standard deviation83.975648
Coefficient of variation (CV)0.0019921385
Kurtosis-1.0992522
Mean42153.52
Median Absolute Deviation (MAD)71
Skewness-0.17690909
Sum1.0757578 × 108
Variance7051.9095
MonotonicityNot monotonic
2023-12-11T04:19:01.938143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42251 54
 
2.1%
42275 43
 
1.7%
42176 40
 
1.6%
42268 36
 
1.4%
42087 33
 
1.3%
42177 32
 
1.2%
42256 32
 
1.2%
42274 31
 
1.2%
42250 27
 
1.1%
42198 27
 
1.1%
Other values (260) 2197
85.7%
ValueCountFrequency (%)
42000 6
 
0.2%
42001 10
0.4%
42002 4
 
0.2%
42003 2
 
0.1%
42004 8
 
0.3%
42005 6
 
0.2%
42006 11
0.4%
42007 19
0.7%
42008 4
 
0.2%
42009 24
0.9%
ValueCountFrequency (%)
42288 10
0.4%
42287 9
0.4%
42286 4
 
0.2%
42285 7
0.3%
42284 1
 
< 0.1%
42283 14
0.5%
42282 14
0.5%
42281 3
 
0.1%
42280 3
 
0.1%
42279 6
0.2%

소재지(지번)
Text

Distinct2143
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2023-12-11T04:19:02.387393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length49
Mean length25.245416
Min length15

Characters and Unicode

Total characters64704
Distinct characters306
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

Unique1793 ?
Unique (%)70.0%

Sample

1st row대구광역시 수성구 황금동 851-12 3층
2nd row대구광역시 수성구 두산동 180-8 1층
3rd row대구광역시 수성구 범어동 479-41
4th row대구광역시 수성구 수성동3가 391-2 1층
5th row대구광역시 수성구 상동 162-4 대구한의대, 대구한방병원,대구TP한방센터 J동 다호
ValueCountFrequency (%)
대구광역시 2563
19.5%
수성구 2563
19.5%
1층 672
 
5.1%
범어동 436
 
3.3%
지산동 314
 
2.4%
만촌동 297
 
2.3%
황금동 182
 
1.4%
2층 175
 
1.3%
신매동 161
 
1.2%
범물동 147
 
1.1%
Other values (2403) 5646
42.9%
2023-12-11T04:19:03.213408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12684
19.6%
구 5169
 
8.0%
1 3899
 
6.0%
성 3026
 
4.7%
동 3022
 
4.7%
수 2989
 
4.6%
시 2803
 
4.3%
대 2642
 
4.1%
역 2570
 
4.0%
광 2563
 
4.0%
Other values (296) 23337
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34918
54.0%
Decimal Number 14771
22.8%
Space Separator 12684
 
19.6%
Dash Punctuation 1981
 
3.1%
Other Punctuation 109
 
0.2%
Uppercase Letter 98
 
0.2%
Open Punctuation 69
 
0.1%
Close Punctuation 69
 
0.1%
Lowercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 5169
14.8%
성 3026
 
8.7%
동 3022
 
8.7%
수 2989
 
8.6%
시 2803
 
8.0%
대 2642
 
7.6%
역 2570
 
7.4%
광 2563
 
7.3%
층 1163
 
3.3%
범 666
 
1.9%
Other values (264) 8305
23.8%
Uppercase Letter
ValueCountFrequency (%)
B 25
25.5%
S 18
18.4%
A 16
16.3%
K 12
12.2%
C 6
 
6.1%
J 6
 
6.1%
W 4
 
4.1%
E 2
 
2.0%
I 2
 
2.0%
M 2
 
2.0%
Other values (4) 5
 
5.1%
Decimal Number
ValueCountFrequency (%)
1 3899
26.4%
2 1947
13.2%
3 1555
 
10.5%
0 1487
 
10.1%
5 1134
 
7.7%
4 1116
 
7.6%
6 944
 
6.4%
7 927
 
6.3%
9 889
 
6.0%
8 873
 
5.9%
Other Punctuation
ValueCountFrequency (%)
, 106
97.2%
/ 3
 
2.8%
Space Separator
ValueCountFrequency (%)
12684
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1981
100.0%
Open Punctuation
ValueCountFrequency (%)
( 69
100.0%
Close Punctuation
ValueCountFrequency (%)
) 69
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34918
54.0%
Common 29685
45.9%
Latin 101
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 5169
14.8%
성 3026
 
8.7%
동 3022
 
8.7%
수 2989
 
8.6%
시 2803
 
8.0%
대 2642
 
7.6%
역 2570
 
7.4%
광 2563
 
7.3%
층 1163
 
3.3%
범 666
 
1.9%
Other values (264) 8305
23.8%
Common
ValueCountFrequency (%)
12684
42.7%
1 3899
 
13.1%
- 1981
 
6.7%
2 1947
 
6.6%
3 1555
 
5.2%
0 1487
 
5.0%
5 1134
 
3.8%
4 1116
 
3.8%
6 944
 
3.2%
7 927
 
3.1%
Other values (7) 2011
 
6.8%
Latin
ValueCountFrequency (%)
B 25
24.8%
S 18
17.8%
A 16
15.8%
K 12
11.9%
C 6
 
5.9%
J 6
 
5.9%
W 4
 
4.0%
e 3
 
3.0%
E 2
 
2.0%
I 2
 
2.0%
Other values (5) 7
 
6.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34918
54.0%
ASCII 29786
46.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
12684
42.6%
1 3899
 
13.1%
- 1981
 
6.7%
2 1947
 
6.5%
3 1555
 
5.2%
0 1487
 
5.0%
5 1134
 
3.8%
4 1116
 
3.7%
6 944
 
3.2%
7 927
 
3.1%
Other values (22) 2112
 
7.1%
Hangul
ValueCountFrequency (%)
구 5169
14.8%
성 3026
 
8.7%
동 3022
 
8.7%
수 2989
 
8.6%
시 2803
 
8.0%
대 2642
 
7.6%
역 2570
 
7.4%
광 2563
 
7.3%
층 1163
 
3.3%
범 666
 
1.9%
Other values (264) 8305
23.8%

우편번호(지번)
Text

Distinct126
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size20.2 KiB
2023-12-11T04:19:03.732211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters17941
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

Unique21 ?
Unique (%)0.8%

Sample

1st row706-853
2nd row706-801
3rd row706-816
4th row706-834
5th row706-828
ValueCountFrequency (%)
706-170 152
 
5.9%
706-220 123
 
4.8%
706-841 82
 
3.2%
706-140 73
 
2.8%
706-803 72
 
2.8%
706-839 71
 
2.8%
706-032 65
 
2.5%
706-800 64
 
2.5%
706-852 62
 
2.4%
706-808 58
 
2.3%
Other values (116) 1741
67.9%
2023-12-11T04:19:04.381848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3808
21.2%
7 2995
16.7%
6 2763
15.4%
- 2563
14.3%
8 2099
11.7%
2 996
 
5.6%
1 830
 
4.6%
3 733
 
4.1%
4 566
 
3.2%
5 326
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15378
85.7%
Dash Punctuation 2563
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3808
24.8%
7 2995
19.5%
6 2763
18.0%
8 2099
13.6%
2 996
 
6.5%
1 830
 
5.4%
3 733
 
4.8%
4 566
 
3.7%
5 326
 
2.1%
9 262
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 2563
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17941
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3808
21.2%
7 2995
16.7%
6 2763
15.4%
- 2563
14.3%
8 2099
11.7%
2 996
 
5.6%
1 830
 
4.6%
3 733
 
4.1%
4 566
 
3.2%
5 326
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3808
21.2%
7 2995
16.7%
6 2763
15.4%
- 2563
14.3%
8 2099
11.7%
2 996
 
5.6%
1 830
 
4.6%
3 733
 
4.1%
4 566
 
3.2%
5 326
 
1.8%

소재지전화
Text

MISSING 

Distinct825
Distinct (%)80.6%
Missing1539
Missing (%)60.0%
Memory size20.2 KiB
2023-12-11T04:19:04.829677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters12288
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

Unique658 ?
Unique (%)64.3%

Sample

1st row053-269-2500
2nd row053-429-7172
3rd row053-654-6977
4th row053-745-2876
5th row053-746-3838
ValueCountFrequency (%)
053-759-0907 10
 
1.0%
053-762-5601 6
 
0.6%
053-762-8292 6
 
0.6%
053-795-9777 5
 
0.5%
053-474-7170 3
 
0.3%
053-768-0085 3
 
0.3%
053-742-8765 3
 
0.3%
053-741-9904 3
 
0.3%
053-766-4885 3
 
0.3%
053-756-0787 3
 
0.3%
Other values (815) 979
95.6%
2023-12-11T04:19:05.419329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 2048
16.7%
5 1790
14.6%
0 1772
14.4%
3 1573
12.8%
7 1362
11.1%
2 692
 
5.6%
6 667
 
5.4%
4 615
 
5.0%
1 601
 
4.9%
9 585
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10240
83.3%
Dash Punctuation 2048
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1790
17.5%
0 1772
17.3%
3 1573
15.4%
7 1362
13.3%
2 692
 
6.8%
6 667
 
6.5%
4 615
 
6.0%
1 601
 
5.9%
9 585
 
5.7%
8 583
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 2048
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12288
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 2048
16.7%
5 1790
14.6%
0 1772
14.4%
3 1573
12.8%
7 1362
11.1%
2 692
 
5.6%
6 667
 
5.4%
4 615
 
5.0%
1 601
 
4.9%
9 585
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 12288
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 2048
16.7%
5 1790
14.6%
0 1772
14.4%
3 1573
12.8%
7 1362
11.1%
2 692
 
5.6%
6 667
 
5.4%
4 615
 
5.0%
1 601
 
4.9%
9 585
 
4.8%

Interactions

2023-12-11T04:18:57.967506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T04:19:05.627748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명우편번호(도로명)
업종명1.0000.084
우편번호(도로명)0.0841.000
2023-12-11T04:19:05.847496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
우편번호(도로명)업종명
우편번호(도로명)1.0000.035
업종명0.0351.000

Missing values

2023-12-11T04:18:58.526484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T04:18:58.719957image/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.
2023-12-11T04:18:58.887541image/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
0건강기능식품유통전문판매업비비타임대구광역시 수성구 동대구로29길 54-13, 3층 (황금동)42149대구광역시 수성구 황금동 851-12 3층706-853<NA>
1건강기능식품유통전문판매업대덕생명과학대구광역시 수성구 무학로 113-17, 1층 (두산동)42175대구광역시 수성구 두산동 180-8 1층706-801<NA>
2건강기능식품유통전문판매업주식회사 지오메디대구광역시 수성구 상록로 37 (범어동)42014대구광역시 수성구 범어동 479-41706-816053-269-2500
3건강기능식품유통전문판매업(주)채이은대구광역시 수성구 들안로 236, 1층 (수성동3가)42142대구광역시 수성구 수성동3가 391-2 1층706-834053-429-7172
4건강기능식품유통전문판매업이전한방연구회대구광역시 수성구 신천동로 136, 대구한의대, 대구한방병원,대구TP한방센터 J동 6층 다호 (상동)42158대구광역시 수성구 상동 162-4 대구한의대, 대구한방병원,대구TP한방센터 J동 다호706-828053-654-6977
5건강기능식품유통전문판매업돔바이오대구광역시 수성구 동대구로 336, 29층 2915호 (범어동, 마크팰리스 범어)42028대구광역시 수성구 범어동 177-3 마크팰리스 범어 29층 2915호706-820053-745-2876
6건강기능식품유통전문판매업주식회사 리체바이오대구광역시 수성구 수성로 355, 3층 (수성동1가)42122대구광역시 수성구 수성동1가 126-9 3층706-831053-746-3838
7건강기능식품유통전문판매업주식회사청보티앤씨대구광역시 수성구 청솔로12길 40, 상가동 3층 302호 (황금동, 황금미진아파트)42141대구광역시 수성구 황금동 705-1 황금미진아파트 3층 상가동 302호706-852053-746-8870
8건강기능식품유통전문판매업(주)신바이오틱스전문믿을신바이오대구광역시 수성구 파동로 131, 4층 (파동)42228대구광역시 수성구 파동 160-14 4층706-849053-759-0907
9건강기능식품유통전문판매업(주)에쓰와이듀오대구광역시 수성구 파동로 131, 5층 (파동)42228대구광역시 수성구 파동 160-14 5층706-849053-759-0907
업종명업소명소재지(도로명)우편번호(도로명)소재지(지번)우편번호(지번)소재지전화
2553집단급식소 식품판매업주식회사대상뉴케어대구광역시 수성구 청수로12길 16 (상동)42161대구광역시 수성구 상동 18-3706-827053-765-6388
2554집단급식소 식품판매업정로주식회사대구광역시 수성구 효행로2길 7, A동 1층 (만촌동)42063대구광역시 수성구 만촌동 236-2706-803053-768-3902
2555집단급식소 식품판매업농업회사법인(주)하나로유통대구광역시 수성구 지범로27길 3-2 (지산동)42193대구광역시 수성구 지산동 554706-839053-781-3860
2556집단급식소 식품판매업(주)한빛F&S대구광역시 수성구 용학로 336, 108동 1층 1호 (범물동, 범물 하이츠)42191대구광역시 수성구 범물동 1261 범물 하이츠 1층 108동 1호706-811053-782-9781
2557집단급식소 식품판매업(주)지오푸드대구광역시 수성구 달구벌대로627길 27, 4층 (매호동)42268대구광역시 수성구 매호동 1334-2 4층706-140053-795-7090
2558집단급식소 식품판매업숲대구광역시 수성구 팔현길 136, 2층 (고모동)42260대구광역시 수성구 고모동 90-1706-120053-795-9777
2559집단급식소 식품판매업주)맛뜨락축산대구광역시 수성구 천을로23길 25 (매호동)42267대구광역시 수성구 매호동 727-3706-140053-816-9300
2560집단급식소 식품판매업누리에프앤비대구광역시 수성구 수성로29길 54-9 (중동)42156대구광역시 수성구 중동 605-6706-838<NA>
2561집단급식소 식품판매업현대푸드대구광역시 수성구 범안로 15, 1층 (범물동)42211대구광역시 수성구 범물동 1352-2 1층706-814<NA>
2562집단급식소 식품판매업케이푸드대구광역시 수성구 수성로 320, 1층 (수성동2가)42132대구광역시 수성구 수성동2가 263-2 1층706-032<NA>

Duplicate rows

Most frequently occurring

업종명업소명소재지(도로명)우편번호(도로명)소재지(지번)우편번호(지번)소재지전화# duplicates
0식품제조가공업(사)푸른차문화연구원대구광역시 수성구 달구벌대로574길 38-20 (연호동)42250대구광역시 수성구 연호동 129-2706-200053-754-11102
1식품제조가공업(재)대구테크노파크 한방뷰티융합센터대구광역시 수성구 신천동로 136 (상동,대구한의대 J동 다호 (4층))42158대구광역시 수성구 상동 162-4 대구한의대 J동 다호 (4층)706-828053-770-23212
2식품제조가공업(주)대구우야지막창대구광역시 수성구 효행로2길 25 (만촌동)42063대구광역시 수성구 만촌동 239-2706-803053-742-87652
3식품제조가공업(주)부촌푸드시스템대구광역시 수성구 무학로11길 28-17 (상동)42168대구광역시 수성구 상동 392-7706-829053-762-07752
4식품제조가공업(주)씨엠케이푸드대구광역시 수성구 지범로48길 30, 1,3층 (범물동)42246대구광역시 수성구 범물동 518-1706-812053-762-82922
5식품제조가공업(주)엠디유글로벌대구광역시 수성구 범안로 93 (범물동)42200대구광역시 수성구 범물동 1287-1706-813053-783-76672
6식품제조가공업(주)원푸드대구광역시 수성구 청수로 11 (중동)42154대구광역시 수성구 중동 575-1706-838<NA>2
7식품제조가공업(주)윤검도우대구광역시 수성구 수성로64길 14, 1층 (수성동2가)42132대구광역시 수성구 수성동2가 193706-032<NA>2
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