Overview

Dataset statistics

Number of variables8
Number of observations804
Missing cells206
Missing cells (%)3.2%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory51.9 KiB
Average record size in memory66.2 B

Variable types

Categorical2
Text4
Numeric2

Dataset

Description대구광역시 달서구_축산물판매업_20220822
Author대구광역시 달서구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15105912&dataSetDetailId=151059121b783d35c62d9&provdMethod=FILE

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (0.1%) duplicate rowsDuplicates
전화번호 has 206 (25.6%) missing valuesMissing

Reproduction

Analysis started2023-12-10 17:56:42.028581
Analysis finished2023-12-10 17:56:43.883676
Duration1.86 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매업구분명
Categorical

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
식육판매업
363 
식육즉석판매가공업
298 
우유류판매업
85 
축산물유통전문판매업
 
36
식용란수집판매업
 
14

Length

Max length10
Median length9
Mean length6.9141791
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 363
45.1%
식육즉석판매가공업 298
37.1%
우유류판매업 85
 
10.6%
축산물유통전문판매업 36
 
4.5%
식용란수집판매업 14
 
1.7%
식육부산물전문판매업 8
 
1.0%

Length

2023-12-11T02:56:44.014702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:56:44.264192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 363
45.1%
식육즉석판매가공업 298
37.1%
우유류판매업 85
 
10.6%
축산물유통전문판매업 36
 
4.5%
식용란수집판매업 14
 
1.7%
식육부산물전문판매업 8
 
1.0%

업소명
Text

Distinct750
Distinct (%)93.3%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-11T02:56:44.741433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length6.6069652
Min length2

Characters and Unicode

Total characters5312
Distinct characters407
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique704 ?
Unique (%)87.6%

Sample

1st row매일우유 신남대리점
2nd row매일유업 성당대리점
3rd row송남계란
4th row남경계란
5th row대영농장
ValueCountFrequency (%)
매일유업 14
 
1.4%
한우 13
 
1.3%
서울우유 9
 
0.9%
정육점 8
 
0.8%
고기마트 6
 
0.6%
상인점 6
 
0.6%
축산 6
 
0.6%
자연드림 5
 
0.5%
송현점 5
 
0.5%
고기공장 5
 
0.5%
Other values (825) 947
92.5%
2023-12-11T02:56:45.446405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
220
 
4.1%
산 212
 
4.0%
점 206
 
3.9%
우 194
 
3.7%
축 184
 
3.5%
한 170
 
3.2%
대 151
 
2.8%
유 115
 
2.2%
트 112
 
2.1%
식 100
 
1.9%
Other values (397) 3648
68.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4883
91.9%
Space Separator 220
 
4.1%
Uppercase Letter 62
 
1.2%
Open Punctuation 46
 
0.9%
Close Punctuation 46
 
0.9%
Lowercase Letter 28
 
0.5%
Decimal Number 18
 
0.3%
Other Punctuation 9
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 212
 
4.3%
점 206
 
4.2%
우 194
 
4.0%
축 184
 
3.8%
한 170
 
3.5%
대 151
 
3.1%
유 115
 
2.4%
트 112
 
2.3%
식 100
 
2.0%
리 97
 
2.0%
Other values (352) 3342
68.4%
Uppercase Letter
ValueCountFrequency (%)
A 7
 
11.3%
L 7
 
11.3%
S 7
 
11.3%
D 4
 
6.5%
K 4
 
6.5%
N 3
 
4.8%
M 3
 
4.8%
E 3
 
4.8%
V 3
 
4.8%
O 3
 
4.8%
Other values (9) 18
29.0%
Lowercase Letter
ValueCountFrequency (%)
y 6
21.4%
h 5
17.9%
n 3
10.7%
f 2
 
7.1%
s 2
 
7.1%
o 2
 
7.1%
e 2
 
7.1%
c 1
 
3.6%
d 1
 
3.6%
m 1
 
3.6%
Other values (3) 3
10.7%
Decimal Number
ValueCountFrequency (%)
5 5
27.8%
1 3
16.7%
0 3
16.7%
8 2
 
11.1%
3 2
 
11.1%
6 2
 
11.1%
2 1
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 4
44.4%
& 4
44.4%
, 1
 
11.1%
Space Separator
ValueCountFrequency (%)
220
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Close Punctuation
ValueCountFrequency (%)
) 46
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4883
91.9%
Common 339
 
6.4%
Latin 90
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 212
 
4.3%
점 206
 
4.2%
우 194
 
4.0%
축 184
 
3.8%
한 170
 
3.5%
대 151
 
3.1%
유 115
 
2.4%
트 112
 
2.3%
식 100
 
2.0%
리 97
 
2.0%
Other values (352) 3342
68.4%
Latin
ValueCountFrequency (%)
A 7
 
7.8%
L 7
 
7.8%
S 7
 
7.8%
y 6
 
6.7%
h 5
 
5.6%
D 4
 
4.4%
K 4
 
4.4%
N 3
 
3.3%
M 3
 
3.3%
E 3
 
3.3%
Other values (22) 41
45.6%
Common
ValueCountFrequency (%)
220
64.9%
( 46
 
13.6%
) 46
 
13.6%
5 5
 
1.5%
. 4
 
1.2%
& 4
 
1.2%
1 3
 
0.9%
0 3
 
0.9%
8 2
 
0.6%
3 2
 
0.6%
Other values (3) 4
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4883
91.9%
ASCII 429
 
8.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
220
51.3%
( 46
 
10.7%
) 46
 
10.7%
A 7
 
1.6%
L 7
 
1.6%
S 7
 
1.6%
y 6
 
1.4%
5 5
 
1.2%
h 5
 
1.2%
. 4
 
0.9%
Other values (35) 76
 
17.7%
Hangul
ValueCountFrequency (%)
산 212
 
4.3%
점 206
 
4.2%
우 194
 
4.0%
축 184
 
3.8%
한 170
 
3.5%
대 151
 
3.1%
유 115
 
2.4%
트 112
 
2.3%
식 100
 
2.0%
리 97
 
2.0%
Other values (352) 3342
68.4%

소재지도로명주소
Text

Distinct777
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-11T02:56:45.942170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length49
Mean length27.66791
Min length16

Characters and Unicode

Total characters22245
Distinct characters207
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique750 ?
Unique (%)93.3%

Sample

1st row대구광역시 달서구 파도고개로 35, 1층 2호 (성당동)
2nd row대구광역시 달서구 야외음악당로8길 34, 1층 2호 (성당동)
3rd row대구광역시 달서구 중흥로4길 71 (송현동)
4th row대구광역시 달서구 용산로 186 (용산동)
5th row대구광역시 달서구 진천로8길 50 (진천동)
ValueCountFrequency (%)
대구광역시 804
 
18.0%
달서구 804
 
18.0%
1층 110
 
2.5%
상인동 76
 
1.7%
용산동 73
 
1.6%
송현동 70
 
1.6%
성당동 51
 
1.1%
월성동 46
 
1.0%
감삼동 45
 
1.0%
이곡동 43
 
1.0%
Other values (800) 2337
52.4%
2023-12-11T02:56:46.845359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3657
 
16.4%
구 1691
 
7.6%
대 944
 
4.2%
서 937
 
4.2%
동 914
 
4.1%
달 863
 
3.9%
1 845
 
3.8%
시 809
 
3.6%
역 807
 
3.6%
광 804
 
3.6%
Other values (197) 9974
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13219
59.4%
Space Separator 3657
 
16.4%
Decimal Number 3346
 
15.0%
Open Punctuation 764
 
3.4%
Close Punctuation 764
 
3.4%
Other Punctuation 364
 
1.6%
Dash Punctuation 115
 
0.5%
Uppercase Letter 15
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1691
 
12.8%
대 944
 
7.1%
서 937
 
7.1%
동 914
 
6.9%
달 863
 
6.5%
시 809
 
6.1%
역 807
 
6.1%
광 804
 
6.1%
로 764
 
5.8%
길 439
 
3.3%
Other values (174) 4247
32.1%
Decimal Number
ValueCountFrequency (%)
1 845
25.3%
2 450
13.4%
3 316
 
9.4%
5 300
 
9.0%
0 297
 
8.9%
4 285
 
8.5%
6 244
 
7.3%
7 243
 
7.3%
9 190
 
5.7%
8 176
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
B 6
40.0%
K 3
20.0%
O 3
20.0%
A 2
 
13.3%
C 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 360
98.9%
@ 3
 
0.8%
/ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
3657
100.0%
Open Punctuation
ValueCountFrequency (%)
( 764
100.0%
Close Punctuation
ValueCountFrequency (%)
) 764
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 115
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13219
59.4%
Common 9010
40.5%
Latin 16
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1691
 
12.8%
대 944
 
7.1%
서 937
 
7.1%
동 914
 
6.9%
달 863
 
6.5%
시 809
 
6.1%
역 807
 
6.1%
광 804
 
6.1%
로 764
 
5.8%
길 439
 
3.3%
Other values (174) 4247
32.1%
Common
ValueCountFrequency (%)
3657
40.6%
1 845
 
9.4%
( 764
 
8.5%
) 764
 
8.5%
2 450
 
5.0%
, 360
 
4.0%
3 316
 
3.5%
5 300
 
3.3%
0 297
 
3.3%
4 285
 
3.2%
Other values (7) 972
 
10.8%
Latin
ValueCountFrequency (%)
B 6
37.5%
K 3
18.8%
O 3
18.8%
A 2
 
12.5%
C 1
 
6.2%
e 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13219
59.4%
ASCII 9026
40.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3657
40.5%
1 845
 
9.4%
( 764
 
8.5%
) 764
 
8.5%
2 450
 
5.0%
, 360
 
4.0%
3 316
 
3.5%
5 300
 
3.3%
0 297
 
3.3%
4 285
 
3.2%
Other values (13) 988
 
10.9%
Hangul
ValueCountFrequency (%)
구 1691
 
12.8%
대 944
 
7.1%
서 937
 
7.1%
동 914
 
6.9%
달 863
 
6.5%
시 809
 
6.1%
역 807
 
6.1%
광 804
 
6.1%
로 764
 
5.8%
길 439
 
3.3%
Other values (174) 4247
32.1%

소재지지번주소
Text

Distinct757
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2023-12-11T02:56:47.235178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length44
Mean length22.084577
Min length16

Characters and Unicode

Total characters17756
Distinct characters174
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique713 ?
Unique (%)88.7%

Sample

1st row대구광역시 달서구 성당동 52-39
2nd row대구광역시 달서구 성당동 384-4
3rd row대구광역시 달서구 송현동 1980-8
4th row대구광역시 달서구 용산동 954-19
5th row대구광역시 달서구 진천동 255-10
ValueCountFrequency (%)
대구광역시 804
22.7%
달서구 804
22.7%
상인동 86
 
2.4%
용산동 79
 
2.2%
송현동 78
 
2.2%
성당동 54
 
1.5%
감삼동 53
 
1.5%
이곡동 51
 
1.4%
월성동 48
 
1.4%
진천동 41
 
1.2%
Other values (886) 1446
40.8%
2023-12-11T02:56:47.859504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3419
19.3%
구 1613
 
9.1%
1 945
 
5.3%
동 876
 
4.9%
대 863
 
4.9%
서 824
 
4.6%
시 809
 
4.6%
달 808
 
4.6%
역 806
 
4.5%
광 804
 
4.5%
Other values (164) 5989
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9729
54.8%
Decimal Number 3925
22.1%
Space Separator 3419
 
19.3%
Dash Punctuation 646
 
3.6%
Other Punctuation 22
 
0.1%
Uppercase Letter 14
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 1613
16.6%
동 876
9.0%
대 863
8.9%
서 824
8.5%
시 809
 
8.3%
달 808
 
8.3%
역 806
 
8.3%
광 804
 
8.3%
상 145
 
1.5%
성 136
 
1.4%
Other values (144) 2045
21.0%
Decimal Number
ValueCountFrequency (%)
1 945
24.1%
2 431
11.0%
5 367
 
9.4%
0 364
 
9.3%
3 355
 
9.0%
4 346
 
8.8%
8 295
 
7.5%
6 276
 
7.0%
9 276
 
7.0%
7 270
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
K 4
28.6%
O 4
28.6%
B 4
28.6%
A 2
14.3%
Other Punctuation
ValueCountFrequency (%)
, 18
81.8%
@ 3
 
13.6%
/ 1
 
4.5%
Space Separator
ValueCountFrequency (%)
3419
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 646
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9729
54.8%
Common 8012
45.1%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 1613
16.6%
동 876
9.0%
대 863
8.9%
서 824
8.5%
시 809
 
8.3%
달 808
 
8.3%
역 806
 
8.3%
광 804
 
8.3%
상 145
 
1.5%
성 136
 
1.4%
Other values (144) 2045
21.0%
Common
ValueCountFrequency (%)
3419
42.7%
1 945
 
11.8%
- 646
 
8.1%
2 431
 
5.4%
5 367
 
4.6%
0 364
 
4.5%
3 355
 
4.4%
4 346
 
4.3%
8 295
 
3.7%
6 276
 
3.4%
Other values (5) 568
 
7.1%
Latin
ValueCountFrequency (%)
K 4
26.7%
O 4
26.7%
B 4
26.7%
A 2
13.3%
e 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9729
54.8%
ASCII 8027
45.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3419
42.6%
1 945
 
11.8%
- 646
 
8.0%
2 431
 
5.4%
5 367
 
4.6%
0 364
 
4.5%
3 355
 
4.4%
4 346
 
4.3%
8 295
 
3.7%
6 276
 
3.4%
Other values (10) 583
 
7.3%
Hangul
ValueCountFrequency (%)
구 1613
16.6%
동 876
9.0%
대 863
8.9%
서 824
8.5%
시 809
 
8.3%
달 808
 
8.3%
역 806
 
8.3%
광 804
 
8.3%
상 145
 
1.5%
성 136
 
1.4%
Other values (144) 2045
21.0%

전화번호
Text

MISSING 

Distinct567
Distinct (%)94.8%
Missing206
Missing (%)25.6%
Memory size6.4 KiB
2023-12-11T02:56:48.283891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.102007
Min length9

Characters and Unicode

Total characters7237
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

Unique538 ?
Unique (%)90.0%

Sample

1st row053-641-5780
2nd row053-626-7337
3rd row053-555-7746
4th row053-628-0358
5th row053-653-0038
ValueCountFrequency (%)
053-634-9599 3
 
0.5%
053-637-3688 3
 
0.5%
053-633-7799 2
 
0.3%
053-643-0098 2
 
0.3%
053-521-8367 2
 
0.3%
053-524-0822 2
 
0.3%
053-525-3374 2
 
0.3%
053-585-3537 2
 
0.3%
053-652-2060 2
 
0.3%
053-625-5800 2
 
0.3%
Other values (557) 576
96.3%
2023-12-11T02:56:48.989260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 1214
16.8%
- 1189
16.4%
3 979
13.5%
0 968
13.4%
6 654
9.0%
2 492
6.8%
8 413
 
5.7%
7 366
 
5.1%
1 339
 
4.7%
9 325
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6048
83.6%
Dash Punctuation 1189
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 1214
20.1%
3 979
16.2%
0 968
16.0%
6 654
10.8%
2 492
8.1%
8 413
 
6.8%
7 366
 
6.1%
1 339
 
5.6%
9 325
 
5.4%
4 298
 
4.9%
Dash Punctuation
ValueCountFrequency (%)
- 1189
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7237
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 1214
16.8%
- 1189
16.4%
3 979
13.5%
0 968
13.4%
6 654
9.0%
2 492
6.8%
8 413
 
5.7%
7 366
 
5.1%
1 339
 
4.7%
9 325
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7237
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 1214
16.8%
- 1189
16.4%
3 979
13.5%
0 968
13.4%
6 654
9.0%
2 492
6.8%
8 413
 
5.7%
7 366
 
5.1%
1 339
 
4.7%
9 325
 
4.5%

위도
Real number (ℝ)

Distinct695
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.835582
Minimum35.796394
Maximum35.862937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T02:56:49.249931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.796394
5-th percentile35.807445
Q135.818889
median35.838385
Q335.852633
95-th percentile35.858518
Maximum35.862937
Range0.06654314
Interquartile range (IQR)0.03374426

Descriptive statistics

Standard deviation0.017681733
Coefficient of variation (CV)0.00049341276
Kurtosis-1.2891207
Mean35.835582
Median Absolute Deviation (MAD)0.01585499
Skewness-0.26889702
Sum28811.808
Variance0.0003126437
MonotonicityNot monotonic
2023-12-11T02:56:49.863115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.85025339 5
 
0.6%
35.85411778 4
 
0.5%
35.84019229 4
 
0.5%
35.83663682 4
 
0.5%
35.85220361 3
 
0.4%
35.81659725 3
 
0.4%
35.81556453 3
 
0.4%
35.80568503 3
 
0.4%
35.8477034 3
 
0.4%
35.85414356 3
 
0.4%
Other values (685) 769
95.6%
ValueCountFrequency (%)
35.79639367 1
0.1%
35.79658888 1
0.1%
35.79900542 1
0.1%
35.7990852 1
0.1%
35.79925808 1
0.1%
35.79926113 1
0.1%
35.79989475 1
0.1%
35.80140829 1
0.1%
35.80235894 1
0.1%
35.80411579 1
0.1%
ValueCountFrequency (%)
35.86293681 1
0.1%
35.86192424 2
0.2%
35.86142533 1
0.1%
35.86107386 1
0.1%
35.86093124 1
0.1%
35.86060121 2
0.2%
35.86055714 1
0.1%
35.86041688 1
0.1%
35.86032531 1
0.1%
35.86028574 1
0.1%

경도
Real number (ℝ)

Distinct695
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.53172
Minimum128.47368
Maximum128.57414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2023-12-11T02:56:50.088500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.47368
5-th percentile128.49763
Q1128.5218
median128.53301
Q3128.54584
95-th percentile128.55488
Maximum128.57414
Range0.1004635
Interquartile range (IQR)0.0240399

Descriptive statistics

Standard deviation0.018495321
Coefficient of variation (CV)0.00014389694
Kurtosis0.27752782
Mean128.53172
Median Absolute Deviation (MAD)0.0122833
Skewness-0.5873857
Sum103339.5
Variance0.0003420769
MonotonicityNot monotonic
2023-12-11T02:56:50.321798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.4736813 5
 
0.6%
128.5462336 4
 
0.5%
128.544245 4
 
0.5%
128.5411988 4
 
0.5%
128.5720717 3
 
0.4%
128.5173696 3
 
0.4%
128.543003 3
 
0.4%
128.5124854 3
 
0.4%
128.517096 3
 
0.4%
128.5543603 3
 
0.4%
Other values (685) 769
95.6%
ValueCountFrequency (%)
128.4736813 5
0.6%
128.4751111 1
 
0.1%
128.4753231 1
 
0.1%
128.4776745 1
 
0.1%
128.4823234 1
 
0.1%
128.4834441 1
 
0.1%
128.4852334 1
 
0.1%
128.4860712 2
 
0.2%
128.4869107 2
 
0.2%
128.4875605 1
 
0.1%
ValueCountFrequency (%)
128.5741448 1
 
0.1%
128.5730372 1
 
0.1%
128.5725527 1
 
0.1%
128.5722035 1
 
0.1%
128.5720717 3
0.4%
128.5718281 1
 
0.1%
128.5716087 1
 
0.1%
128.5704458 1
 
0.1%
128.5704302 1
 
0.1%
128.5704051 1
 
0.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2022-08-22
804 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-08-22
2nd row2022-08-22
3rd row2022-08-22
4th row2022-08-22
5th row2022-08-22

Common Values

ValueCountFrequency (%)
2022-08-22 804
100.0%

Length

2023-12-11T02:56:50.523560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T02:56:50.679866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-08-22 804
100.0%

Interactions

2023-12-11T02:56:43.151061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:56:42.809392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:56:43.334603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T02:56:42.971475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T02:56:50.797821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매업구분명위도경도
판매업구분명1.0000.0670.197
위도0.0671.0000.585
경도0.1970.5851.000
2023-12-11T02:56:50.960448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도판매업구분명
위도1.000-0.1500.035
경도-0.1501.0000.105
판매업구분명0.0350.1051.000

Missing values

2023-12-11T02:56:43.568875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:56:43.790074image/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

판매업구분명업소명소재지도로명주소소재지지번주소전화번호위도경도데이터기준일자
0식용란수집판매업매일우유 신남대리점대구광역시 달서구 파도고개로 35, 1층 2호 (성당동)대구광역시 달서구 성당동 52-39<NA>35.852204128.5720722022-08-22
1식용란수집판매업매일유업 성당대리점대구광역시 달서구 야외음악당로8길 34, 1층 2호 (성당동)대구광역시 달서구 성당동 384-4053-641-578035.840333128.5547732022-08-22
2식용란수집판매업송남계란대구광역시 달서구 중흥로4길 71 (송현동)대구광역시 달서구 송현동 1980-8053-626-733735.830013128.5528082022-08-22
3식용란수집판매업남경계란대구광역시 달서구 용산로 186 (용산동)대구광역시 달서구 용산동 954-19<NA>35.85416128.5308452022-08-22
4식용란수집판매업대영농장대구광역시 달서구 진천로8길 50 (진천동)대구광역시 달서구 진천동 255-10<NA>35.81273128.5278682022-08-22
5식용란수집판매업계란집 부자축산(대구점)대구광역시 달서구 선원로15길 3 (신당동)대구광역시 달서구 신당동 1695-10<NA>35.859547128.5001112022-08-22
6식용란수집판매업성민유통대구광역시 달서구 송현로4길 45 (송현동)대구광역시 달서구 송현동 1955-10<NA>35.823109128.5507912022-08-22
7식용란수집판매업중앙계란대구광역시 달서구 당산로21길 70 (감삼동)대구광역시 달서구 감삼동 186-19053-555-774635.8473128.5411162022-08-22
8식용란수집판매업한빛유통대구광역시 달서구 감삼남4길 8 (감삼동)대구광역시 달서구 감삼동 189-15<NA>35.848449128.5422422022-08-22
9식용란수집판매업월암계란대구광역시 달서구 월배로72길 64 (송현동)대구광역시 달서구 송현동 1962053-628-035835.824866128.5508912022-08-22
판매업구분명업소명소재지도로명주소소재지지번주소전화번호위도경도데이터기준일자
794축산물유통전문판매업태원미트대구광역시 달서구 월곡로28길 30 (상인동)대구광역시 달서구 상인동 1570-6<NA>35.810361128.5475272022-08-22
795축산물유통전문판매업조선대구광역시 달서구 도원로 29, 5층 (도원동)대구광역시 달서구 도원동 1436-2<NA>35.807178128.5359642022-08-22
796축산물유통전문판매업(주)성빈식품대구광역시 달서구 성서로72길 13, 2층 (이곡동)대구광역시 달서구 이곡동 1000-283<NA>35.84949128.5082182022-08-22
797축산물유통전문판매업웰미트대구광역시 달서구 달구벌대로276길 58, 지하1층 (장기동)대구광역시 달서구 장기동 202-9<NA>35.847703128.5170962022-08-22
798축산물유통전문판매업(주)더드림에프앤비대구광역시 달서구 달구벌대로 1316대구광역시 달서구 이곡동 737-4<NA>35.850802128.5111712022-08-22
799축산물유통전문판매업복이네대구광역시 달서구 호산동로 150 (호산동)대구광역시 달서구 호산동 357-67<NA>35.84869128.4860712022-08-22
800축산물유통전문판매업(주)길섶대구광역시 달서구 명천로 43, 1동 3층 (대곡동)대구광역시 달서구 대곡동 19-65053-634-959935.805685128.5124852022-08-22
801축산물유통전문판매업주식회사 선일에프앤비대구광역시 달서구 중흥로 50(송현동)대구광역시 달서구 송현동 2006-101566-831235.82975128.5570352022-08-22
802축산물유통전문판매업대구축산농협육가공공장대구광역시 달서구 성서로5길 23(대천동)대구광역시 달서구 대천동 709053-582-990135.820206128.5016672022-08-22
803축산물유통전문판매업와룡총각대구광역시 달서구 성서서로69길 28, 1층 (신당동)대구광역시 달서구 신당동 1771-30507-1482-225035.856013128.498142022-08-22

Duplicate rows

Most frequently occurring

판매업구분명업소명소재지도로명주소소재지지번주소전화번호위도경도데이터기준일자# duplicates
0우유류판매업매일유업 신남대리점대구광역시 달서구 파도고개로 35 (성당동)대구광역시 달서구 성당동 52-39<NA>35.852204128.5720722022-08-222