Overview

Dataset statistics

Number of variables10
Number of observations642
Missing cells138
Missing cells (%)2.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory50.9 KiB
Average record size in memory81.2 B

Variable types

Numeric1
Text6
DateTime1
Categorical2

Dataset

Description진안군에 있는 담배소매인지정에 대한 데이터로 지정업소명, 소재지도로명주소, 대표자, 지정일자, 지정번호 등을 제공합니다.
Author전북특별자치도 진안군
URLhttps://www.data.go.kr/data/15033494/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업소전화번호 has 135 (21.0%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:04:13.292025
Analysis finished2024-03-14 18:04:15.837937
Duration2.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct642
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.5
Minimum1
Maximum642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.8 KiB
2024-03-15T03:04:16.147749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile33.05
Q1161.25
median321.5
Q3481.75
95-th percentile609.95
Maximum642
Range641
Interquartile range (IQR)320.5

Descriptive statistics

Standard deviation185.47372
Coefficient of variation (CV)0.57690114
Kurtosis-1.2
Mean321.5
Median Absolute Deviation (MAD)160.5
Skewness0
Sum206403
Variance34400.5
MonotonicityStrictly increasing
2024-03-15T03:04:16.644037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
483 1
 
0.2%
425 1
 
0.2%
426 1
 
0.2%
427 1
 
0.2%
428 1
 
0.2%
429 1
 
0.2%
430 1
 
0.2%
431 1
 
0.2%
432 1
 
0.2%
Other values (632) 632
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
642 1
0.2%
641 1
0.2%
640 1
0.2%
639 1
0.2%
638 1
0.2%
637 1
0.2%
636 1
0.2%
635 1
0.2%
634 1
0.2%
633 1
0.2%

대표자명
Text

Distinct539
Distinct (%)84.0%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-03-15T03:04:17.972146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length3
Mean length3.2990654
Min length2

Characters and Unicode

Total characters2118
Distinct characters221
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique485 ?
Unique (%)75.5%

Sample

1st row이보라
2nd row서승주
3rd row김정류
4th row이혜수
5th row이문택
ValueCountFrequency (%)
백승례 13
 
2.0%
조성택 9
 
1.4%
손영수 7
 
1.1%
고금자 7
 
1.1%
전남미 5
 
0.8%
김동진 5
 
0.8%
양유순 5
 
0.8%
김역춘 4
 
0.6%
김기술 4
 
0.6%
오인란 4
 
0.6%
Other values (537) 587
90.3%
2024-03-15T03:04:20.016393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 132
 
6.2%
이 82
 
3.9%
정 73
 
3.4%
순 71
 
3.4%
박 49
 
2.3%
영 47
 
2.2%
자 46
 
2.2%
진 44
 
2.1%
장 40
 
1.9%
성 37
 
1.7%
Other values (211) 1497
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2081
98.3%
Uppercase Letter 10
 
0.5%
Space Separator 8
 
0.4%
Close Punctuation 8
 
0.4%
Open Punctuation 8
 
0.4%
Other Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 132
 
6.3%
이 82
 
3.9%
정 73
 
3.5%
순 71
 
3.4%
박 49
 
2.4%
영 47
 
2.3%
자 46
 
2.2%
진 44
 
2.1%
장 40
 
1.9%
성 37
 
1.8%
Other values (200) 1460
70.2%
Uppercase Letter
ValueCountFrequency (%)
N 3
30.0%
I 2
20.0%
L 1
 
10.0%
G 1
 
10.0%
E 1
 
10.0%
F 1
 
10.0%
J 1
 
10.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Other Punctuation
ValueCountFrequency (%)
: 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2081
98.3%
Common 27
 
1.3%
Latin 10
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 132
 
6.3%
이 82
 
3.9%
정 73
 
3.5%
순 71
 
3.4%
박 49
 
2.4%
영 47
 
2.3%
자 46
 
2.2%
진 44
 
2.1%
장 40
 
1.9%
성 37
 
1.8%
Other values (200) 1460
70.2%
Latin
ValueCountFrequency (%)
N 3
30.0%
I 2
20.0%
L 1
 
10.0%
G 1
 
10.0%
E 1
 
10.0%
F 1
 
10.0%
J 1
 
10.0%
Common
ValueCountFrequency (%)
8
29.6%
) 8
29.6%
( 8
29.6%
: 3
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2081
98.3%
ASCII 37
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 132
 
6.3%
이 82
 
3.9%
정 73
 
3.5%
순 71
 
3.4%
박 49
 
2.4%
영 47
 
2.3%
자 46
 
2.2%
진 44
 
2.1%
장 40
 
1.9%
성 37
 
1.8%
Other values (200) 1460
70.2%
ASCII
ValueCountFrequency (%)
8
21.6%
) 8
21.6%
( 8
21.6%
N 3
 
8.1%
: 3
 
8.1%
I 2
 
5.4%
L 1
 
2.7%
G 1
 
2.7%
E 1
 
2.7%
F 1
 
2.7%

업소명
Text

Distinct367
Distinct (%)57.3%
Missing1
Missing (%)0.2%
Memory size5.1 KiB
2024-03-15T03:04:21.173669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length4.7956318
Min length1

Characters and Unicode

Total characters3074
Distinct characters322
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

Unique280 ?
Unique (%)43.7%

Sample

1st row세븐일레븐 진안진용점
2nd row씨유진안로터리점
3rd row씨유진안홍삼점
4th row용담슈퍼
5th row명천
ValueCountFrequency (%)
슈퍼 62
 
9.5%
샘휴게실 11
 
1.7%
무릉산장 9
 
1.4%
모래재휴게소 7
 
1.1%
마이산휴게소 6
 
0.9%
냉천매점 6
 
0.9%
두레가든 6
 
0.9%
솔밭 5
 
0.8%
전주식당 5
 
0.8%
운장상회 5
 
0.8%
Other values (384) 528
81.2%
2024-03-15T03:04:22.956903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
슈 157
 
5.1%
퍼 157
 
5.1%
101
 
3.3%
상 98
 
3.2%
회 96
 
3.1%
소 89
 
2.9%
휴 81
 
2.6%
게 77
 
2.5%
마 67
 
2.2%
진 66
 
2.1%
Other values (312) 2085
67.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2886
93.9%
Space Separator 101
 
3.3%
Decimal Number 30
 
1.0%
Close Punctuation 21
 
0.7%
Open Punctuation 19
 
0.6%
Uppercase Letter 11
 
0.4%
Other Punctuation 3
 
0.1%
Lowercase Letter 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
슈 157
 
5.4%
퍼 157
 
5.4%
상 98
 
3.4%
회 96
 
3.3%
소 89
 
3.1%
휴 81
 
2.8%
게 77
 
2.7%
마 67
 
2.3%
진 66
 
2.3%
점 63
 
2.2%
Other values (292) 1935
67.0%
Decimal Number
ValueCountFrequency (%)
2 8
26.7%
5 6
20.0%
1 4
13.3%
8 4
13.3%
7 4
13.3%
3 3
 
10.0%
0 1
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
S 4
36.4%
G 4
36.4%
O 1
 
9.1%
C 1
 
9.1%
I 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
: 1
33.3%
Lowercase Letter
ValueCountFrequency (%)
k 1
50.0%
o 1
50.0%
Space Separator
ValueCountFrequency (%)
101
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2886
93.9%
Common 175
 
5.7%
Latin 13
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
슈 157
 
5.4%
퍼 157
 
5.4%
상 98
 
3.4%
회 96
 
3.3%
소 89
 
3.1%
휴 81
 
2.8%
게 77
 
2.7%
마 67
 
2.3%
진 66
 
2.3%
점 63
 
2.2%
Other values (292) 1935
67.0%
Common
ValueCountFrequency (%)
101
57.7%
) 21
 
12.0%
( 19
 
10.9%
2 8
 
4.6%
5 6
 
3.4%
1 4
 
2.3%
8 4
 
2.3%
7 4
 
2.3%
3 3
 
1.7%
. 2
 
1.1%
Other values (3) 3
 
1.7%
Latin
ValueCountFrequency (%)
S 4
30.8%
G 4
30.8%
O 1
 
7.7%
k 1
 
7.7%
o 1
 
7.7%
C 1
 
7.7%
I 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2886
93.9%
ASCII 188
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
슈 157
 
5.4%
퍼 157
 
5.4%
상 98
 
3.4%
회 96
 
3.3%
소 89
 
3.1%
휴 81
 
2.8%
게 77
 
2.7%
마 67
 
2.3%
진 66
 
2.3%
점 63
 
2.2%
Other values (292) 1935
67.0%
ASCII
ValueCountFrequency (%)
101
53.7%
) 21
 
11.2%
( 19
 
10.1%
2 8
 
4.3%
5 6
 
3.2%
S 4
 
2.1%
G 4
 
2.1%
1 4
 
2.1%
8 4
 
2.1%
7 4
 
2.1%
Other values (10) 13
 
6.9%

업소지번주소
Text

Distinct528
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-03-15T03:04:24.218567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39
Mean length27.515576
Min length1

Characters and Unicode

Total characters17665
Distinct characters158
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

Unique461 ?
Unique (%)71.8%

Sample

1st row전북특별자치도 진안군 진안읍 군상리 833
2nd row전북특별자치도 진안군 진안읍 군상리 431-3
3rd row전북특별자치도 진안군 진안읍 단양리 749
4th row전북특별자치도 진안군 용담면 송풍리 1156-2 용호성
5th row전북특별자치도 진안군 주천면 주양리 630
ValueCountFrequency (%)
진안군 637
18.0%
전북특별자치도 636
18.0%
진안읍 222
 
6.3%
군상리 104
 
2.9%
주천면 98
 
2.8%
부귀면 70
 
2.0%
1호 60
 
1.7%
마령면 44
 
1.2%
대불리 43
 
1.2%
2호 42
 
1.2%
Other values (593) 1577
44.6%
2024-03-15T03:04:25.812107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3466
19.6%
안 894
 
5.1%
진 863
 
4.9%
군 786
 
4.4%
전 654
 
3.7%
자 639
 
3.6%
도 637
 
3.6%
치 636
 
3.6%
별 636
 
3.6%
특 636
 
3.6%
Other values (148) 7818
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11566
65.5%
Space Separator 3466
 
19.6%
Decimal Number 2448
 
13.9%
Dash Punctuation 171
 
1.0%
Other Punctuation 6
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 894
 
7.7%
진 863
 
7.5%
군 786
 
6.8%
전 654
 
5.7%
자 639
 
5.5%
도 637
 
5.5%
치 636
 
5.5%
별 636
 
5.5%
특 636
 
5.5%
북 636
 
5.5%
Other values (131) 4549
39.3%
Decimal Number
ValueCountFrequency (%)
1 494
20.2%
2 287
11.7%
3 276
11.3%
6 255
10.4%
4 222
9.1%
5 216
8.8%
7 190
 
7.8%
9 176
 
7.2%
0 175
 
7.1%
8 157
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
3466
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 171
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11566
65.5%
Common 6097
34.5%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 894
 
7.7%
진 863
 
7.5%
군 786
 
6.8%
전 654
 
5.7%
자 639
 
5.5%
도 637
 
5.5%
치 636
 
5.5%
별 636
 
5.5%
특 636
 
5.5%
북 636
 
5.5%
Other values (131) 4549
39.3%
Common
ValueCountFrequency (%)
3466
56.8%
1 494
 
8.1%
2 287
 
4.7%
3 276
 
4.5%
6 255
 
4.2%
4 222
 
3.6%
5 216
 
3.5%
7 190
 
3.1%
9 176
 
2.9%
0 175
 
2.9%
Other values (5) 340
 
5.6%
Latin
ValueCountFrequency (%)
K 1
50.0%
T 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11566
65.5%
ASCII 6099
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3466
56.8%
1 494
 
8.1%
2 287
 
4.7%
3 276
 
4.5%
6 255
 
4.2%
4 222
 
3.6%
5 216
 
3.5%
7 190
 
3.1%
9 176
 
2.9%
0 175
 
2.9%
Other values (7) 342
 
5.6%
Hangul
ValueCountFrequency (%)
안 894
 
7.7%
진 863
 
7.5%
군 786
 
6.8%
전 654
 
5.7%
자 639
 
5.5%
도 637
 
5.5%
치 636
 
5.5%
별 636
 
5.5%
특 636
 
5.5%
북 636
 
5.5%
Other values (131) 4549
39.3%

업소전화번호
Text

MISSING 

Distinct336
Distinct (%)66.3%
Missing135
Missing (%)21.0%
Memory size5.1 KiB
2024-03-15T03:04:26.861639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.654832
Min length1

Characters and Unicode

Total characters5402
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique267 ?
Unique (%)52.7%

Sample

1st row063-433-8840
2nd row063-432-8523
3rd row063-432-8222
4th row063-432-1380
5th row063-433-7788
ValueCountFrequency (%)
063-432-6067 11
 
2.5%
063-432-9610 6
 
1.3%
063-432-6644 6
 
1.3%
063-433-7788 5
 
1.1%
063-433-1908 5
 
1.1%
063-432-5688 5
 
1.1%
063-433-1231 5
 
1.1%
063-432-9059 4
 
0.9%
063-432-5712 4
 
0.9%
063-432-7026 4
 
0.9%
Other values (325) 390
87.6%
2024-03-15T03:04:28.329742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 1238
22.9%
- 890
16.5%
0 663
12.3%
6 631
11.7%
4 592
11.0%
2 466
 
8.6%
5 206
 
3.8%
1 186
 
3.4%
7 171
 
3.2%
8 156
 
2.9%
Other values (2) 203
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4450
82.4%
Dash Punctuation 890
 
16.5%
Space Separator 62
 
1.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 1238
27.8%
0 663
14.9%
6 631
14.2%
4 592
13.3%
2 466
 
10.5%
5 206
 
4.6%
1 186
 
4.2%
7 171
 
3.8%
8 156
 
3.5%
9 141
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 890
100.0%
Space Separator
ValueCountFrequency (%)
62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5402
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 1238
22.9%
- 890
16.5%
0 663
12.3%
6 631
11.7%
4 592
11.0%
2 466
 
8.6%
5 206
 
3.8%
1 186
 
3.4%
7 171
 
3.2%
8 156
 
2.9%
Other values (2) 203
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5402
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 1238
22.9%
- 890
16.5%
0 663
12.3%
6 631
11.7%
4 592
11.0%
2 466
 
8.6%
5 206
 
3.8%
1 186
 
3.4%
7 171
 
3.2%
8 156
 
2.9%
Other values (2) 203
 
3.8%

지정일자
Date

Distinct481
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
Minimum1975-04-25 00:00:00
Maximum2022-10-06 00:00:00
2024-03-15T03:04:28.775002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:04:29.231858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법인구분
Categorical

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
개인
335 
274 
법인
 
33

Length

Max length2
Median length2
Mean length1.5732087
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 335
52.2%
274
42.7%
법인 33
 
5.1%

Length

2024-03-15T03:04:29.723277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:04:30.088142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 335
91.0%
법인 33
 
9.0%

사업자번호
Text

Distinct201
Distinct (%)31.4%
Missing2
Missing (%)0.3%
Memory size5.1 KiB
2024-03-15T03:04:31.234096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length1
Mean length4.884375
Min length1

Characters and Unicode

Total characters3126
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)29.1%

Sample

1st row560-11-02092
2nd row782-09-02350
3rd row292-54-00709
4th row121-33-62510
5th row882-13-01702
ValueCountFrequency (%)
406-02-26819 5
 
2.2%
406-82-00766 4
 
1.8%
406-02-13202 4
 
1.8%
406-02-26065 4
 
1.8%
418-03-59834 3
 
1.3%
402-09-99570 3
 
1.3%
402-16-37650 3
 
1.3%
308-67-00101 2
 
0.9%
418-82-62483 2
 
0.9%
402-08-18473 2
 
0.9%
Other values (190) 194
85.8%
2024-03-15T03:04:32.548473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 464
14.8%
- 452
14.5%
414
13.2%
4 295
9.4%
1 254
8.1%
2 251
8.0%
8 217
6.9%
6 213
6.8%
5 165
 
5.3%
3 156
 
5.0%
Other values (2) 245
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2260
72.3%
Dash Punctuation 452
 
14.5%
Space Separator 414
 
13.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 464
20.5%
4 295
13.1%
1 254
11.2%
2 251
11.1%
8 217
9.6%
6 213
9.4%
5 165
 
7.3%
3 156
 
6.9%
7 126
 
5.6%
9 119
 
5.3%
Dash Punctuation
ValueCountFrequency (%)
- 452
100.0%
Space Separator
ValueCountFrequency (%)
414
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3126
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 464
14.8%
- 452
14.5%
414
13.2%
4 295
9.4%
1 254
8.1%
2 251
8.0%
8 217
6.9%
6 213
6.8%
5 165
 
5.3%
3 156
 
5.0%
Other values (2) 245
7.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3126
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 464
14.8%
- 452
14.5%
414
13.2%
4 295
9.4%
1 254
8.1%
2 251
8.0%
8 217
6.9%
6 213
6.8%
5 165
 
5.3%
3 156
 
5.0%
Other values (2) 245
7.8%

폐업일
Text

Distinct327
Distinct (%)50.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2024-03-15T03:04:33.691854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length6.9158879
Min length1

Characters and Unicode

Total characters4440
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique295 ?
Unique (%)46.0%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
2013-08-05 31
 
7.3%
2013-07-05 12
 
2.8%
2015-09-15 7
 
1.7%
2004-12-02 6
 
1.4%
2015-09-14 6
 
1.4%
2013-06-24 5
 
1.2%
2006-06-28 4
 
0.9%
2003-09-05 4
 
0.9%
2013-07-01 4
 
0.9%
2003-09-30 3
 
0.7%
Other values (316) 340
80.6%
2024-03-15T03:04:35.136081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1236
27.8%
- 844
19.0%
2 668
15.0%
1 559
12.6%
220
 
5.0%
3 186
 
4.2%
5 157
 
3.5%
9 126
 
2.8%
8 121
 
2.7%
7 110
 
2.5%
Other values (2) 213
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3376
76.0%
Dash Punctuation 844
 
19.0%
Space Separator 220
 
5.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1236
36.6%
2 668
19.8%
1 559
16.6%
3 186
 
5.5%
5 157
 
4.7%
9 126
 
3.7%
8 121
 
3.6%
7 110
 
3.3%
4 108
 
3.2%
6 105
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 844
100.0%
Space Separator
ValueCountFrequency (%)
220
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4440
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1236
27.8%
- 844
19.0%
2 668
15.0%
1 559
12.6%
220
 
5.0%
3 186
 
4.2%
5 157
 
3.5%
9 126
 
2.8%
8 121
 
2.7%
7 110
 
2.5%
Other values (2) 213
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4440
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1236
27.8%
- 844
19.0%
2 668
15.0%
1 559
12.6%
220
 
5.0%
3 186
 
4.2%
5 157
 
3.5%
9 126
 
2.8%
8 121
 
2.7%
7 110
 
2.5%
Other values (2) 213
 
4.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-09-04
642 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-04
2nd row2023-09-04
3rd row2023-09-04
4th row2023-09-04
5th row2023-09-04

Common Values

ValueCountFrequency (%)
2023-09-04 642
100.0%

Length

2024-03-15T03:04:35.567330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:04:35.860623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-04 642
100.0%

Interactions

2024-03-15T03:04:14.155393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T03:04:35.960189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법인구분
순번1.0000.567
법인구분0.5671.000
2024-03-15T03:04:36.095238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번법인구분
순번1.0000.408
법인구분0.4081.000

Missing values

2024-03-15T03:04:14.814651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:04:15.339208image/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.
2024-03-15T03:04:15.686293image/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

순번대표자명업소명업소지번주소업소전화번호지정일자법인구분사업자번호폐업일데이터기준일자
01이보라세븐일레븐 진안진용점전북특별자치도 진안군 진안읍 군상리 833<NA>2022-10-06개인560-11-020922023-09-04
12서승주씨유진안로터리점전북특별자치도 진안군 진안읍 군상리 431-3<NA>2022-08-16개인782-09-023502023-09-04
23김정류씨유진안홍삼점전북특별자치도 진안군 진안읍 단양리 749<NA>2022-07-21개인292-54-007092023-09-04
34이혜수용담슈퍼전북특별자치도 진안군 용담면 송풍리 1156-2 용호성<NA>2022-04-07개인121-33-625102023-09-04
45이문택명천전북특별자치도 진안군 주천면 주양리 630<NA>2021-11-10개인882-13-017022023-09-04
56강순복통큰슈퍼전북특별자치도 진안군 용담면 송풍리 1119-3<NA>2021-07-22개인586-13-017642023-09-04
67박도영용담섬바위마트전북특별자치도 진안군 용담면 송풍리 1930-2 용담부동산.동도건설<NA>2021-07-12개인277-03-021572023-09-04
78JIN FENGLIN외궁슈퍼전북특별자치도 진안군 성수면 외궁리 674-22063-433-88402021-06-28개인819-06-019292023-09-04
89신상호마이정보전북특별자치도 진안군 진안읍 군상리 285-4<NA>2021-06-02개인429-64-003532023-09-04
910장양섭부귀농촌슈퍼전북특별자치도 진안군 부귀면 거석리 731-3 부귀농촌슈퍼063-432-85232021-04-02개인402-04-367212023-09-04
순번대표자명업소명업소지번주소업소전화번호지정일자법인구분사업자번호폐업일데이터기준일자
632633홍봉춘전북특별자치도 진안군 동향면 능금리 1589-5호063-432-76641975-07-012000-10-162023-09-04
633634엄기성동향슈퍼전북특별자치도 진안군 동향면 신송리 1118호063-432-78621975-07-012013-07-022023-09-04
634635권인순슈퍼전북특별자치도 진안군 동향면 성산리 호1975-07-01개인2013-07-012023-09-04
635636박대희슈퍼전북특별자치도 진안군 동향면 성산리 660호1975-09-08개인2013-08-052023-09-04
636637정옥진슈퍼전북특별자치도 진안군 동향면 대량리 529호1975-07-01개인1976-06-022023-09-04
637638임정빈슈퍼전북특별자치도 진안군 진안읍 운산리 834호063-432-04551975-07-01개인2013-08-052023-09-04
638639윤태언슈퍼전북특별자치도 진안군 진안읍 연장리 호063-433-77781975-07-11개인2013-06-192023-09-04
639640오영애삼형제상회전북특별자치도 진안군 진안읍 오천리 867호063-433-91441975-07-01개인406-01-249782023-09-04
640641백홍준슈퍼전북특별자치도 진안군 진안읍 반월리 628호063-433-03151975-07-012013-07-052023-09-04
641642이순례전북특별자치도 진안군 진안읍 가림리 호063-432-05221975-07-012002-03-112023-09-04