Overview

Dataset statistics

Number of variables11
Number of observations277
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.7 KiB
Average record size in memory91.5 B

Variable types

Categorical4
DateTime1
Text4
Numeric2

Dataset

Description경기도 안산시 식품 제조가 공업 현황으로 사업장 명, 영업상태 명, 주소, 위도, 경도 등의 정보를 제공합니다......
URLhttps://www.data.go.kr/data/3080738/fileData.do

Alerts

업종명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
영업상태명 has constant value ""Constant
업소일련번호 has unique valuesUnique
영업장면적 has 3 (1.1%) zerosZeros

Reproduction

Analysis started2023-12-12 09:01:09.822065
Analysis finished2023-12-12 09:01:11.256420
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
식품제조가공업
277 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 277
100.0%

Length

2023-12-12T18:01:11.330801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:01:11.434458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 277
100.0%

인허가일자
Date

Distinct262
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum1976-03-03 00:00:00
Maximum2023-07-07 00:00:00
2023-12-12T18:01:11.548089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:01:11.730142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1
277 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 277
100.0%

Length

2023-12-12T18:01:11.919003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:01:12.023798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 277
100.0%

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
영업
277 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 277
100.0%

Length

2023-12-12T18:01:12.143673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:01:12.265975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 277
100.0%

업소명
Text

Distinct276
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T18:01:12.501801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length17
Mean length6.9350181
Min length2

Characters and Unicode

Total characters1921
Distinct characters343
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)99.3%

Sample

1st row서울우유협동조합안산공장
2nd row태원식품산업(주)
3rd row(주)피엔에프에스
4th row롯데웰푸드(주)안산공장
5th row(주)사조대림
ValueCountFrequency (%)
주식회사 26
 
7.9%
커피 4
 
1.2%
주 3
 
0.9%
백암알천순대 2
 
0.6%
농업회사법인 2
 
0.6%
우리바이오 2
 
0.6%
사회적협동조합 1
 
0.3%
주)세영에프앤지 1
 
0.3%
랩 1
 
0.3%
넥스트 1
 
0.3%
Other values (287) 287
87.0%
2023-12-12T18:01:13.016564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 104
 
5.4%
( 86
 
4.5%
) 86
 
4.5%
식 79
 
4.1%
드 53
 
2.8%
53
 
2.8%
품 52
 
2.7%
푸 50
 
2.6%
스 43
 
2.2%
이 40
 
2.1%
Other values (333) 1275
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1589
82.7%
Open Punctuation 86
 
4.5%
Close Punctuation 86
 
4.5%
Uppercase Letter 59
 
3.1%
Space Separator 53
 
2.8%
Lowercase Letter 36
 
1.9%
Decimal Number 7
 
0.4%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 104
 
6.5%
식 79
 
5.0%
드 53
 
3.3%
품 52
 
3.3%
푸 50
 
3.1%
스 43
 
2.7%
이 40
 
2.5%
사 39
 
2.5%
에 36
 
2.3%
회 35
 
2.2%
Other values (291) 1058
66.6%
Uppercase Letter
ValueCountFrequency (%)
F 12
20.3%
S 6
10.2%
E 6
10.2%
B 5
8.5%
I 5
8.5%
O 5
8.5%
C 4
 
6.8%
T 3
 
5.1%
P 2
 
3.4%
A 2
 
3.4%
Other values (7) 9
15.3%
Lowercase Letter
ValueCountFrequency (%)
e 6
16.7%
o 5
13.9%
a 4
11.1%
p 3
8.3%
c 3
8.3%
i 2
 
5.6%
y 2
 
5.6%
s 2
 
5.6%
t 2
 
5.6%
n 1
 
2.8%
Other values (6) 6
16.7%
Decimal Number
ValueCountFrequency (%)
9 2
28.6%
2 2
28.6%
8 2
28.6%
1 1
14.3%
Other Punctuation
ValueCountFrequency (%)
& 4
80.0%
. 1
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 86
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1588
82.7%
Common 237
 
12.3%
Latin 95
 
4.9%
Han 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 104
 
6.5%
식 79
 
5.0%
드 53
 
3.3%
품 52
 
3.3%
푸 50
 
3.1%
스 43
 
2.7%
이 40
 
2.5%
사 39
 
2.5%
에 36
 
2.3%
회 35
 
2.2%
Other values (290) 1057
66.6%
Latin
ValueCountFrequency (%)
F 12
 
12.6%
S 6
 
6.3%
E 6
 
6.3%
e 6
 
6.3%
o 5
 
5.3%
B 5
 
5.3%
I 5
 
5.3%
O 5
 
5.3%
a 4
 
4.2%
C 4
 
4.2%
Other values (23) 37
38.9%
Common
ValueCountFrequency (%)
( 86
36.3%
) 86
36.3%
53
22.4%
& 4
 
1.7%
9 2
 
0.8%
2 2
 
0.8%
8 2
 
0.8%
1 1
 
0.4%
. 1
 
0.4%
Han
ValueCountFrequency (%)
月 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1588
82.7%
ASCII 332
 
17.3%
CJK 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 104
 
6.5%
식 79
 
5.0%
드 53
 
3.3%
품 52
 
3.3%
푸 50
 
3.1%
스 43
 
2.7%
이 40
 
2.5%
사 39
 
2.5%
에 36
 
2.3%
회 35
 
2.2%
Other values (290) 1057
66.6%
ASCII
ValueCountFrequency (%)
( 86
25.9%
) 86
25.9%
53
16.0%
F 12
 
3.6%
S 6
 
1.8%
E 6
 
1.8%
e 6
 
1.8%
o 5
 
1.5%
B 5
 
1.5%
I 5
 
1.5%
Other values (32) 62
18.7%
CJK
ValueCountFrequency (%)
月 1
100.0%

소재지(도로명)
Text

Distinct276
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T18:01:13.449986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length49
Mean length35.111913
Min length23

Characters and Unicode

Total characters9726
Distinct characters230
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)99.3%

Sample

1st row경기도 안산시 단원구 성곡로 153 (신길동)
2nd row경기도 안산시 단원구 능안로 78 (신길동)
3rd row경기도 안산시 단원구 해안로 136 (목내동 (7블럭52롯트))
4th row경기도 안산시 단원구 성곡로 32 (성곡동)
5th row경기도 안산시 단원구 성곡로 125 (신길동)
ValueCountFrequency (%)
경기도 277
 
12.6%
안산시 277
 
12.6%
단원구 144
 
6.6%
상록구 133
 
6.1%
1층 111
 
5.1%
일부 51
 
2.3%
사동 32
 
1.5%
성곡동 31
 
1.4%
2층 29
 
1.3%
1층일부 28
 
1.3%
Other values (532) 1080
49.2%
2023-12-12T18:01:13.975722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2182
22.4%
1 422
 
4.3%
동 346
 
3.6%
산 338
 
3.5%
안 316
 
3.2%
시 304
 
3.1%
) 301
 
3.1%
( 301
 
3.1%
경 280
 
2.9%
도 280
 
2.9%
Other values (220) 4656
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5481
56.4%
Space Separator 2182
 
22.4%
Decimal Number 1349
 
13.9%
Close Punctuation 301
 
3.1%
Open Punctuation 301
 
3.1%
Dash Punctuation 57
 
0.6%
Uppercase Letter 48
 
0.5%
Other Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 346
 
6.3%
산 338
 
6.2%
안 316
 
5.8%
시 304
 
5.5%
경 280
 
5.1%
도 280
 
5.1%
구 279
 
5.1%
기 279
 
5.1%
층 210
 
3.8%
원 210
 
3.8%
Other values (195) 2639
48.1%
Decimal Number
ValueCountFrequency (%)
1 422
31.3%
2 206
15.3%
3 136
 
10.1%
4 114
 
8.5%
5 107
 
7.9%
0 100
 
7.4%
7 78
 
5.8%
6 75
 
5.6%
9 58
 
4.3%
8 53
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 21
43.8%
F 9
18.8%
B 4
 
8.3%
T 4
 
8.3%
R 3
 
6.2%
K 3
 
6.2%
V 2
 
4.2%
D 2
 
4.2%
Space Separator
ValueCountFrequency (%)
2182
100.0%
Close Punctuation
ValueCountFrequency (%)
) 301
100.0%
Open Punctuation
ValueCountFrequency (%)
( 301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 57
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5481
56.4%
Common 4195
43.1%
Latin 50
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 346
 
6.3%
산 338
 
6.2%
안 316
 
5.8%
시 304
 
5.5%
경 280
 
5.1%
도 280
 
5.1%
구 279
 
5.1%
기 279
 
5.1%
층 210
 
3.8%
원 210
 
3.8%
Other values (195) 2639
48.1%
Common
ValueCountFrequency (%)
2182
52.0%
1 422
 
10.1%
) 301
 
7.2%
( 301
 
7.2%
2 206
 
4.9%
3 136
 
3.2%
4 114
 
2.7%
5 107
 
2.6%
0 100
 
2.4%
7 78
 
1.9%
Other values (6) 248
 
5.9%
Latin
ValueCountFrequency (%)
A 21
42.0%
F 9
18.0%
B 4
 
8.0%
T 4
 
8.0%
R 3
 
6.0%
K 3
 
6.0%
Ⅲ 2
 
4.0%
V 2
 
4.0%
D 2
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5481
56.4%
ASCII 4243
43.6%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2182
51.4%
1 422
 
9.9%
) 301
 
7.1%
( 301
 
7.1%
2 206
 
4.9%
3 136
 
3.2%
4 114
 
2.7%
5 107
 
2.5%
0 100
 
2.4%
7 78
 
1.8%
Other values (14) 296
 
7.0%
Hangul
ValueCountFrequency (%)
동 346
 
6.3%
산 338
 
6.2%
안 316
 
5.8%
시 304
 
5.5%
경 280
 
5.1%
도 280
 
5.1%
구 279
 
5.1%
기 279
 
5.1%
층 210
 
3.8%
원 210
 
3.8%
Other values (195) 2639
48.1%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

소재지(지번)
Text

Distinct275
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T18:01:14.283522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length44
Mean length29.281588
Min length19

Characters and Unicode

Total characters8111
Distinct characters163
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique273 ?
Unique (%)98.6%

Sample

1st row경기도 안산시 단원구 신길동 1059
2nd row경기도 안산시 단원구 신길동 1125-2
3rd row경기도 안산시 단원구 목내동 435-1 (7블럭52롯트)
4th row경기도 안산시 단원구 성곡동 628
5th row경기도 안산시 단원구 신길동 1060
ValueCountFrequency (%)
경기도 277
 
15.2%
안산시 277
 
15.2%
단원구 144
 
7.9%
상록구 133
 
7.3%
1층 77
 
4.2%
일부 46
 
2.5%
사동 32
 
1.8%
성곡동 31
 
1.7%
1층일부 27
 
1.5%
신길동 27
 
1.5%
Other values (440) 756
41.4%
2023-12-12T18:01:14.789378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1823
22.5%
1 407
 
5.0%
동 318
 
3.9%
산 300
 
3.7%
시 299
 
3.7%
안 284
 
3.5%
경 279
 
3.4%
도 279
 
3.4%
구 278
 
3.4%
기 278
 
3.4%
Other values (153) 3566
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4336
53.5%
Space Separator 1823
22.5%
Decimal Number 1614
 
19.9%
Dash Punctuation 241
 
3.0%
Uppercase Letter 44
 
0.5%
Open Punctuation 23
 
0.3%
Close Punctuation 23
 
0.3%
Other Punctuation 3
 
< 0.1%
Letter Number 2
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 318
 
7.3%
산 300
 
6.9%
시 299
 
6.9%
안 284
 
6.5%
경 279
 
6.4%
도 279
 
6.4%
구 278
 
6.4%
기 278
 
6.4%
원 181
 
4.2%
층 166
 
3.8%
Other values (128) 1674
38.6%
Decimal Number
ValueCountFrequency (%)
1 407
25.2%
2 208
12.9%
4 178
11.0%
3 146
 
9.0%
6 128
 
7.9%
5 124
 
7.7%
0 121
 
7.5%
7 119
 
7.4%
9 92
 
5.7%
8 91
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
A 19
43.2%
F 9
20.5%
T 4
 
9.1%
B 3
 
6.8%
K 3
 
6.8%
R 3
 
6.8%
D 2
 
4.5%
V 1
 
2.3%
Space Separator
ValueCountFrequency (%)
1823
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 241
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4336
53.5%
Common 3729
46.0%
Latin 46
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 318
 
7.3%
산 300
 
6.9%
시 299
 
6.9%
안 284
 
6.5%
경 279
 
6.4%
도 279
 
6.4%
구 278
 
6.4%
기 278
 
6.4%
원 181
 
4.2%
층 166
 
3.8%
Other values (128) 1674
38.6%
Common
ValueCountFrequency (%)
1823
48.9%
1 407
 
10.9%
- 241
 
6.5%
2 208
 
5.6%
4 178
 
4.8%
3 146
 
3.9%
6 128
 
3.4%
5 124
 
3.3%
0 121
 
3.2%
7 119
 
3.2%
Other values (6) 234
 
6.3%
Latin
ValueCountFrequency (%)
A 19
41.3%
F 9
19.6%
T 4
 
8.7%
B 3
 
6.5%
K 3
 
6.5%
R 3
 
6.5%
D 2
 
4.3%
Ⅲ 2
 
4.3%
V 1
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4336
53.5%
ASCII 3773
46.5%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1823
48.3%
1 407
 
10.8%
- 241
 
6.4%
2 208
 
5.5%
4 178
 
4.7%
3 146
 
3.9%
6 128
 
3.4%
5 124
 
3.3%
0 121
 
3.2%
7 119
 
3.2%
Other values (14) 278
 
7.4%
Hangul
ValueCountFrequency (%)
동 318
 
7.3%
산 300
 
6.9%
시 299
 
6.9%
안 284
 
6.5%
경 279
 
6.4%
도 279
 
6.4%
구 278
 
6.4%
기 278
 
6.4%
원 181
 
4.2%
층 166
 
3.8%
Other values (128) 1674
38.6%
Number Forms
ValueCountFrequency (%)
Ⅲ 2
100.0%

영업장면적
Real number (ℝ)

ZEROS 

Distinct270
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean862.21834
Minimum0
Maximum37591.78
Zeros3
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-12T18:01:14.977679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.724
Q160.54
median139.5
Q3270
95-th percentile3491.972
Maximum37591.78
Range37591.78
Interquartile range (IQR)209.46

Descriptive statistics

Standard deviation3523.066
Coefficient of variation (CV)4.0860485
Kurtosis64.675181
Mean862.21834
Median Absolute Deviation (MAD)92.1
Skewness7.4285529
Sum238834.48
Variance12411994
MonotonicityNot monotonic
2023-12-12T18:01:15.169281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34.0 4
 
1.4%
0.0 3
 
1.1%
194.74 2
 
0.7%
44.0 2
 
0.7%
204.4 1
 
0.4%
126.46 1
 
0.4%
30.69 1
 
0.4%
101.52 1
 
0.4%
208.83 1
 
0.4%
60.54 1
 
0.4%
Other values (260) 260
93.9%
ValueCountFrequency (%)
0.0 3
1.1%
6.82 1
 
0.4%
9.6 1
 
0.4%
11.53 1
 
0.4%
12.1 1
 
0.4%
12.24 1
 
0.4%
13.2 1
 
0.4%
13.44 1
 
0.4%
13.65 1
 
0.4%
22.83 1
 
0.4%
ValueCountFrequency (%)
37591.78 1
0.4%
31371.66 1
0.4%
14711.98 1
0.4%
13961.8 1
0.4%
12893.61 1
0.4%
12436.54 1
0.4%
11552.12 1
0.4%
8814.0 1
0.4%
8665.35 1
0.4%
8118.0 1
0.4%

우편번호
Real number (ℝ)

Distinct140
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15438.845
Minimum15201
Maximum15657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2023-12-12T18:01:15.343677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15201
5-th percentile15204
Q115332
median15434
Q315567
95-th percentile15633
Maximum15657
Range456
Interquartile range (IQR)235

Descriptive statistics

Standard deviation140.16603
Coefficient of variation (CV)0.00907879
Kurtosis-1.0221597
Mean15438.845
Median Absolute Deviation (MAD)122
Skewness-0.34236285
Sum4276560
Variance19646.516
MonotonicityNot monotonic
2023-12-12T18:01:15.478276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15426 13
 
4.7%
15208 10
 
3.6%
15523 9
 
3.2%
15633 8
 
2.9%
15599 7
 
2.5%
15497 6
 
2.2%
15434 6
 
2.2%
15201 6
 
2.2%
15455 5
 
1.8%
15420 5
 
1.8%
Other values (130) 202
72.9%
ValueCountFrequency (%)
15201 6
2.2%
15202 5
1.8%
15203 2
 
0.7%
15204 2
 
0.7%
15206 3
 
1.1%
15207 1
 
0.4%
15208 10
3.6%
15209 4
 
1.4%
15210 2
 
0.7%
15211 1
 
0.4%
ValueCountFrequency (%)
15657 2
 
0.7%
15655 1
 
0.4%
15653 1
 
0.4%
15649 1
 
0.4%
15648 1
 
0.4%
15643 1
 
0.4%
15642 1
 
0.4%
15633 8
2.9%
15632 1
 
0.4%
15630 1
 
0.4%

업태명
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
기타 식품제조가공업
163 
식품제조가공업
113 
도시락제조업
 
1

Length

Max length10
Median length10
Mean length8.7617329
Min length6

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row기타 식품제조가공업
2nd row식품제조가공업
3rd row식품제조가공업
4th row식품제조가공업
5th row식품제조가공업

Common Values

ValueCountFrequency (%)
기타 식품제조가공업 163
58.8%
식품제조가공업 113
40.8%
도시락제조업 1
 
0.4%

Length

2023-12-12T18:01:15.605612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:01:15.711888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 276
62.7%
기타 163
37.0%
도시락제조업 1
 
0.2%

업소일련번호
Text

UNIQUE 

Distinct277
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T18:01:15.889117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length22
Mean length22
Min length22

Characters and Unicode

Total characters6094
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

Unique277 ?
Unique (%)100.0%

Sample

1st row3930000-106-1976-00001
2nd row3930000-106-1985-00001
3rd row3930000-106-1985-00003
4th row3930000-106-1988-00001
5th row3930000-106-1988-00002
ValueCountFrequency (%)
3930000-106-1976-00001 1
 
0.4%
3930000-106-2019-00005 1
 
0.4%
3930000-106-2020-00001 1
 
0.4%
3930000-106-2019-00030 1
 
0.4%
3930000-106-2019-00029 1
 
0.4%
3930000-106-2019-00028 1
 
0.4%
3930000-106-2019-00024 1
 
0.4%
3930000-106-2019-00022 1
 
0.4%
3930000-106-2019-00018 1
 
0.4%
3930000-106-2016-00031 1
 
0.4%
Other values (267) 267
96.4%
2023-12-12T18:01:16.253683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2652
43.5%
- 831
 
13.6%
3 656
 
10.8%
1 571
 
9.4%
2 483
 
7.9%
9 366
 
6.0%
6 327
 
5.4%
4 61
 
1.0%
7 55
 
0.9%
8 50
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5263
86.4%
Dash Punctuation 831
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2652
50.4%
3 656
 
12.5%
1 571
 
10.8%
2 483
 
9.2%
9 366
 
7.0%
6 327
 
6.2%
4 61
 
1.2%
7 55
 
1.0%
8 50
 
1.0%
5 42
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 831
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6094
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2652
43.5%
- 831
 
13.6%
3 656
 
10.8%
1 571
 
9.4%
2 483
 
7.9%
9 366
 
6.0%
6 327
 
5.4%
4 61
 
1.0%
7 55
 
0.9%
8 50
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6094
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2652
43.5%
- 831
 
13.6%
3 656
 
10.8%
1 571
 
9.4%
2 483
 
7.9%
9 366
 
6.0%
6 327
 
5.4%
4 61
 
1.0%
7 55
 
0.9%
8 50
 
0.8%

Interactions

2023-12-12T18:01:10.679965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:01:10.440637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:01:10.832294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:01:10.573296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:01:16.384080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적우편번호업태명
영업장면적1.0000.1660.000
우편번호0.1661.0000.244
업태명0.0000.2441.000
2023-12-12T18:01:16.495313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업장면적우편번호업태명
영업장면적1.0000.0490.000
우편번호0.0491.0000.151
업태명0.0000.1511.000

Missing values

2023-12-12T18:01:10.970670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:01:11.172149image/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

업종명인허가일자상세영업상태코드영업상태명업소명소재지(도로명)소재지(지번)영업장면적우편번호업태명업소일련번호
0식품제조가공업1976-03-031영업서울우유협동조합안산공장경기도 안산시 단원구 성곡로 153 (신길동)경기도 안산시 단원구 신길동 10593855.8815407기타 식품제조가공업3930000-106-1976-00001
1식품제조가공업1985-02-081영업태원식품산업(주)경기도 안산시 단원구 능안로 78 (신길동)경기도 안산시 단원구 신길동 1125-212893.6115426식품제조가공업3930000-106-1985-00001
2식품제조가공업1985-05-221영업(주)피엔에프에스경기도 안산시 단원구 해안로 136 (목내동 (7블럭52롯트))경기도 안산시 단원구 목내동 435-1 (7블럭52롯트)2379.2515610식품제조가공업3930000-106-1985-00003
3식품제조가공업1988-02-081영업롯데웰푸드(주)안산공장경기도 안산시 단원구 성곡로 32 (성곡동)경기도 안산시 단원구 성곡동 6286837.6615424식품제조가공업3930000-106-1988-00001
4식품제조가공업1988-05-101영업(주)사조대림경기도 안산시 단원구 성곡로 125 (신길동)경기도 안산시 단원구 신길동 106011552.1215407식품제조가공업3930000-106-1988-00002
5식품제조가공업1989-01-181영업고려은단헬스케어경기도 안산시 단원구 만해로 165 (신길동)경기도 안산시 단원구 신길동 1056-35365.615405식품제조가공업3930000-106-1989-00001
6식품제조가공업1993-07-301영업삼영화성공업(주)경기도 안산시 단원구 번영로82번길 15 (성곡동 (4마320))경기도 안산시 단원구 성곡동 703-8 (4마320)0.015416식품제조가공업3930000-106-1993-00003
7식품제조가공업1997-09-111영업(주)신한엔에프경기도 안산시 단원구 별망로 29 (성곡동 나동 1층. 2층)경기도 안산시 단원구 성곡동 713-4 나동 1층. 2층270.015415식품제조가공업3930000-106-1993-00011
8식품제조가공업1997-06-071영업(주)도염원경기도 안산시 단원구 엠티브이1로91번길 13 (주) 도염원 공장동 1층 일부 3층 일부 (목내동)경기도 안산시 단원구 목내동 513-2 (주) 도염원1572.3615657식품제조가공업3930000-106-1994-00009
9식품제조가공업1997-08-041영업두만식품경기도 안산시 상록구 항호1길 10 (사동 1층)경기도 안산시 상록구 사동 1430-13 1층88.7615628식품제조가공업3930000-106-1997-00009
업종명인허가일자상세영업상태코드영업상태명업소명소재지(도로명)소재지(지번)영업장면적우편번호업태명업소일련번호
267식품제조가공업2023-02-211영업마라강호경기도 안산시 단원구 관산2길 34 안산명성교회 1층일부(1층4호) (원곡동)경기도 안산시 단원구 원곡동 771 안산명성교회 1층일부(1층4호)27.015374기타 식품제조가공업3930000-106-2023-00005
268식품제조가공업2023-02-231영업천하파트너스경기도 안산시 단원구 별망로 336 (주)경진텍 1동 2층일부 (성곡동)경기도 안산시 단원구 성곡동 615-2 (주)경진텍 1동 2층일부146.0215608기타 식품제조가공업3930000-106-2023-00006
269식품제조가공업2023-02-281영업(주)에이치엔노바텍경기도 안산시 단원구 산단로 325 리드 스마트스퀘어 지식산업센터 F-744 745호 (신길동)경기도 안산시 단원구 신길동 1229 리드 스마트스퀘어 지식산업센터 F-744 745호364.9215426기타 식품제조가공업3930000-106-2023-00007
270식품제조가공업2023-03-281영업빛네츄럴식품센터경기도 안산시 상록구 송호1길 23-1 2층 일부 (이동)경기도 안산시 상록구 이동 66337.815487기타 식품제조가공업3930000-106-2023-00008
271식품제조가공업2023-04-061영업커뷰어로스터즈경기도 안산시 단원구 삼일로 401 108호 일부 (와동)경기도 안산시 단원구 와동 736-1 108호 일부12.2415268기타 식품제조가공업3930000-106-2023-00009
272식품제조가공업2023-04-171영업(주)동남물산경기도 안산시 상록구 벌터길 52 D동 1층 일부 (부곡동)경기도 안산시 상록구 부곡동 107-1 D동 1층 일부57.9115207기타 식품제조가공업3930000-106-2023-00010
273식품제조가공업2023-05-171영업(주)팍스에프앤비경기도 안산시 상록구 안산테콤길 37 4층 일부 (사사동)경기도 안산시 상록구 사사동 119-25 4층 일부189.6415523기타 식품제조가공업3930000-106-2023-00011
274식품제조가공업2023-05-251영업알콩달콩얌얌 안산점경기도 안산시 상록구 항가울로 37 2층 (사동)경기도 안산시 상록구 사동 1385-10 2층149.4315626기타 식품제조가공업3930000-106-2023-00012
275식품제조가공업2023-06-231영업커피 도이창경기도 안산시 단원구 광덕동로 67 신명빌딩 504호 (고잔동)경기도 안산시 단원구 고잔동 769-2 신명빌딩 504호118.6515470기타 식품제조가공업3930000-106-2023-00014
276식품제조가공업2023-07-071영업(주)진흥미트경기도 안산시 상록구 수암4길 17 1층 일부 (수암동)경기도 안산시 상록구 수암동 459-3 1층 일부359.115202기타 식품제조가공업3930000-106-2023-00015