Overview

Dataset statistics

Number of variables4
Number of observations558
Missing cells16
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.1 KiB
Average record size in memory33.2 B

Variable types

Numeric1
Text3

Dataset

Description전북특별자치도 군산시 소재한 즉석 판매 제조가공업소 현황 (연번, 즉석판매제조가공업 업소명, 소재지도로명, 소재지지번)
Author전북특별자치도 군산시
URLhttps://www.data.go.kr/data/3080327/fileData.do

Alerts

소재지(도로명) has 16 (2.9%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 16:12:33.148908
Analysis finished2024-03-14 16:12:34.657985
Duration1.51 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct558
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean279.5
Minimum1
Maximum558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.0 KiB
2024-03-15T01:12:34.784410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28.85
Q1140.25
median279.5
Q3418.75
95-th percentile530.15
Maximum558
Range557
Interquartile range (IQR)278.5

Descriptive statistics

Standard deviation161.225
Coefficient of variation (CV)0.57683362
Kurtosis-1.2
Mean279.5
Median Absolute Deviation (MAD)139.5
Skewness0
Sum155961
Variance25993.5
MonotonicityStrictly increasing
2024-03-15T01:12:35.132541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
376 1
 
0.2%
370 1
 
0.2%
371 1
 
0.2%
372 1
 
0.2%
373 1
 
0.2%
374 1
 
0.2%
375 1
 
0.2%
377 1
 
0.2%
385 1
 
0.2%
Other values (548) 548
98.2%
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 (%)
558 1
0.2%
557 1
0.2%
556 1
0.2%
555 1
0.2%
554 1
0.2%
553 1
0.2%
552 1
0.2%
551 1
0.2%
550 1
0.2%
549 1
0.2%

업소명
Text

Distinct547
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-03-15T01:12:36.133305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length5.9946237
Min length1

Characters and Unicode

Total characters3345
Distinct characters462
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique537 ?
Unique (%)96.2%

Sample

1st row백운방앗간
2nd row나운떡방앗간
3rd row형제떡방앗간
4th row낙원떡방앗간
5th row고창방앗간
ValueCountFrequency (%)
제일떡방아간 3
 
0.5%
주식회사 3
 
0.5%
찬 3
 
0.5%
다시,봄 2
 
0.3%
방앗간 2
 
0.3%
젓갈 2
 
0.3%
맛있는반찬 2
 
0.3%
제일건강원 2
 
0.3%
롯데마트군산점 2
 
0.3%
마실 2
 
0.3%
Other values (589) 595
96.3%
2024-03-15T01:12:37.580927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 90
 
2.7%
강 84
 
2.5%
건 83
 
2.5%
산 80
 
2.4%
방 80
 
2.4%
떡 74
 
2.2%
간 70
 
2.1%
60
 
1.8%
아 57
 
1.7%
수 54
 
1.6%
Other values (452) 2613
78.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3055
91.3%
Lowercase Letter 79
 
2.4%
Space Separator 60
 
1.8%
Uppercase Letter 42
 
1.3%
Close Punctuation 40
 
1.2%
Open Punctuation 40
 
1.2%
Other Punctuation 13
 
0.4%
Decimal Number 13
 
0.4%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 90
 
2.9%
강 84
 
2.7%
건 83
 
2.7%
산 80
 
2.6%
방 80
 
2.6%
떡 74
 
2.4%
간 70
 
2.3%
아 57
 
1.9%
수 54
 
1.8%
이 53
 
1.7%
Other values (400) 2330
76.3%
Lowercase Letter
ValueCountFrequency (%)
o 14
17.7%
e 9
11.4%
a 7
 
8.9%
t 6
 
7.6%
s 5
 
6.3%
i 5
 
6.3%
n 5
 
6.3%
u 4
 
5.1%
d 3
 
3.8%
l 3
 
3.8%
Other values (11) 18
22.8%
Uppercase Letter
ValueCountFrequency (%)
B 8
19.0%
A 6
14.3%
D 4
9.5%
M 4
9.5%
C 3
 
7.1%
S 2
 
4.8%
E 2
 
4.8%
Y 2
 
4.8%
F 2
 
4.8%
L 2
 
4.8%
Other values (6) 7
16.7%
Decimal Number
ValueCountFrequency (%)
2 4
30.8%
1 3
23.1%
9 2
15.4%
4 1
 
7.7%
7 1
 
7.7%
0 1
 
7.7%
3 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
& 5
38.5%
. 4
30.8%
, 3
23.1%
' 1
 
7.7%
Space Separator
ValueCountFrequency (%)
60
100.0%
Close Punctuation
ValueCountFrequency (%)
) 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 40
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3052
91.2%
Common 169
 
5.1%
Latin 121
 
3.6%
Han 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 90
 
2.9%
강 84
 
2.8%
건 83
 
2.7%
산 80
 
2.6%
방 80
 
2.6%
떡 74
 
2.4%
간 70
 
2.3%
아 57
 
1.9%
수 54
 
1.8%
이 53
 
1.7%
Other values (397) 2327
76.2%
Latin
ValueCountFrequency (%)
o 14
 
11.6%
e 9
 
7.4%
B 8
 
6.6%
a 7
 
5.8%
A 6
 
5.0%
t 6
 
5.0%
s 5
 
4.1%
i 5
 
4.1%
n 5
 
4.1%
D 4
 
3.3%
Other values (27) 52
43.0%
Common
ValueCountFrequency (%)
60
35.5%
) 40
23.7%
( 40
23.7%
& 5
 
3.0%
. 4
 
2.4%
2 4
 
2.4%
- 3
 
1.8%
1 3
 
1.8%
, 3
 
1.8%
9 2
 
1.2%
Other values (5) 5
 
3.0%
Han
ValueCountFrequency (%)
美 1
33.3%
色 1
33.3%
家 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3052
91.2%
ASCII 290
 
8.7%
CJK 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 90
 
2.9%
강 84
 
2.8%
건 83
 
2.7%
산 80
 
2.6%
방 80
 
2.6%
떡 74
 
2.4%
간 70
 
2.3%
아 57
 
1.9%
수 54
 
1.8%
이 53
 
1.7%
Other values (397) 2327
76.2%
ASCII
ValueCountFrequency (%)
60
20.7%
) 40
13.8%
( 40
13.8%
o 14
 
4.8%
e 9
 
3.1%
B 8
 
2.8%
a 7
 
2.4%
A 6
 
2.1%
t 6
 
2.1%
s 5
 
1.7%
Other values (42) 95
32.8%
CJK
ValueCountFrequency (%)
美 1
33.3%
色 1
33.3%
家 1
33.3%

소재지(도로명)
Text

MISSING 

Distinct529
Distinct (%)97.6%
Missing16
Missing (%)2.9%
Memory size4.5 KiB
2024-03-15T01:12:38.995931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length47
Mean length29.607011
Min length21

Characters and Unicode

Total characters16047
Distinct characters246
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

Unique521 ?
Unique (%)96.1%

Sample

1st row전북특별자치도 군산시 금광길 21 (명산동)
2nd row전북특별자치도 군산시 신촌2길 6 (조촌동)
3rd row전북특별자치도 군산시 구암3.1로 205 (구암동)
4th row전북특별자치도 군산시 금광길 17 (명산동)
5th row전북특별자치도 군산시 신풍2길 13 (송풍동)
ValueCountFrequency (%)
전북특별자치도 542
 
17.4%
군산시 542
 
17.4%
1층 85
 
2.7%
나운동 80
 
2.6%
수송동 57
 
1.8%
신영동 43
 
1.4%
신금길 35
 
1.1%
18 34
 
1.1%
조촌동 31
 
1.0%
삼학동 21
 
0.7%
Other values (710) 1640
52.7%
2024-03-15T01:12:41.175082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2568
 
16.0%
1 697
 
4.3%
산 618
 
3.9%
시 585
 
3.6%
군 569
 
3.5%
북 564
 
3.5%
동 562
 
3.5%
도 560
 
3.5%
자 552
 
3.4%
전 545
 
3.4%
Other values (236) 8227
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9936
61.9%
Space Separator 2568
 
16.0%
Decimal Number 2140
 
13.3%
Close Punctuation 484
 
3.0%
Open Punctuation 484
 
3.0%
Other Punctuation 315
 
2.0%
Dash Punctuation 100
 
0.6%
Uppercase Letter 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 618
 
6.2%
시 585
 
5.9%
군 569
 
5.7%
북 564
 
5.7%
동 562
 
5.7%
도 560
 
5.6%
자 552
 
5.6%
전 545
 
5.5%
특 542
 
5.5%
별 542
 
5.5%
Other values (211) 4297
43.2%
Decimal Number
ValueCountFrequency (%)
1 697
32.6%
2 292
13.6%
3 225
 
10.5%
0 187
 
8.7%
4 179
 
8.4%
5 137
 
6.4%
8 119
 
5.6%
7 110
 
5.1%
6 99
 
4.6%
9 95
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 11
55.0%
D 2
 
10.0%
C 2
 
10.0%
P 1
 
5.0%
J 1
 
5.0%
M 1
 
5.0%
B 1
 
5.0%
E 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 302
95.9%
. 12
 
3.8%
\ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
2568
100.0%
Close Punctuation
ValueCountFrequency (%)
) 484
100.0%
Open Punctuation
ValueCountFrequency (%)
( 484
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9936
61.9%
Common 6091
38.0%
Latin 20
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 618
 
6.2%
시 585
 
5.9%
군 569
 
5.7%
북 564
 
5.7%
동 562
 
5.7%
도 560
 
5.6%
자 552
 
5.6%
전 545
 
5.5%
특 542
 
5.5%
별 542
 
5.5%
Other values (211) 4297
43.2%
Common
ValueCountFrequency (%)
2568
42.2%
1 697
 
11.4%
) 484
 
7.9%
( 484
 
7.9%
, 302
 
5.0%
2 292
 
4.8%
3 225
 
3.7%
0 187
 
3.1%
4 179
 
2.9%
5 137
 
2.2%
Other values (7) 536
 
8.8%
Latin
ValueCountFrequency (%)
A 11
55.0%
D 2
 
10.0%
C 2
 
10.0%
P 1
 
5.0%
J 1
 
5.0%
M 1
 
5.0%
B 1
 
5.0%
E 1
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9936
61.9%
ASCII 6111
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2568
42.0%
1 697
 
11.4%
) 484
 
7.9%
( 484
 
7.9%
, 302
 
4.9%
2 292
 
4.8%
3 225
 
3.7%
0 187
 
3.1%
4 179
 
2.9%
5 137
 
2.2%
Other values (15) 556
 
9.1%
Hangul
ValueCountFrequency (%)
산 618
 
6.2%
시 585
 
5.9%
군 569
 
5.7%
북 564
 
5.7%
동 562
 
5.7%
도 560
 
5.6%
자 552
 
5.6%
전 545
 
5.5%
특 542
 
5.5%
별 542
 
5.5%
Other values (211) 4297
43.2%

소재지(지번)
Text

Distinct514
Distinct (%)92.1%
Missing0
Missing (%)0.0%
Memory size4.5 KiB
2024-03-15T01:12:42.192586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length37.5
Mean length24.639785
Min length9

Characters and Unicode

Total characters13749
Distinct characters211
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

Unique495 ?
Unique (%)88.7%

Sample

1st row전북특별자치도 군산시 명산동 20-14
2nd row전북특별자치도 군산시 조촌동 900-3
3rd row전북특별자치도 군산시 구암동 323-17
4th row전북특별자치도 군산시 옥서면 선연리 2130-10
5th row전북특별자치도 군산시 명산동 18-30
ValueCountFrequency (%)
전북특별자치도 555
22.0%
군산시 555
22.0%
나운동 89
 
3.5%
수송동 58
 
2.3%
신영동 44
 
1.7%
조촌동 32
 
1.3%
18-1 30
 
1.2%
경암동 23
 
0.9%
삼학동 21
 
0.8%
문화동 21
 
0.8%
Other values (691) 1094
43.4%
2024-03-15T01:12:44.019919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2485
18.1%
산 637
 
4.6%
시 585
 
4.3%
군 577
 
4.2%
북 575
 
4.2%
도 572
 
4.2%
1 571
 
4.2%
자 562
 
4.1%
전 555
 
4.0%
치 555
 
4.0%
Other values (201) 6075
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8235
59.9%
Space Separator 2485
 
18.1%
Decimal Number 2484
 
18.1%
Dash Punctuation 483
 
3.5%
Uppercase Letter 36
 
0.3%
Other Punctuation 8
 
0.1%
Open Punctuation 6
 
< 0.1%
Close Punctuation 6
 
< 0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 637
 
7.7%
시 585
 
7.1%
군 577
 
7.0%
북 575
 
7.0%
도 572
 
6.9%
자 562
 
6.8%
전 555
 
6.7%
치 555
 
6.7%
특 555
 
6.7%
별 555
 
6.7%
Other values (176) 2507
30.4%
Decimal Number
ValueCountFrequency (%)
1 571
23.0%
3 276
11.1%
8 276
11.1%
5 233
9.4%
2 230
9.3%
4 199
 
8.0%
6 182
 
7.3%
0 173
 
7.0%
7 173
 
7.0%
9 171
 
6.9%
Uppercase Letter
ValueCountFrequency (%)
A 13
36.1%
E 7
19.4%
C 5
 
13.9%
P 4
 
11.1%
L 3
 
8.3%
R 3
 
8.3%
D 1
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 7
87.5%
. 1
 
12.5%
Math Symbol
ValueCountFrequency (%)
> 3
50.0%
< 3
50.0%
Space Separator
ValueCountFrequency (%)
2485
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 483
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8235
59.9%
Common 5478
39.8%
Latin 36
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 637
 
7.7%
시 585
 
7.1%
군 577
 
7.0%
북 575
 
7.0%
도 572
 
6.9%
자 562
 
6.8%
전 555
 
6.7%
치 555
 
6.7%
특 555
 
6.7%
별 555
 
6.7%
Other values (176) 2507
30.4%
Common
ValueCountFrequency (%)
2485
45.4%
1 571
 
10.4%
- 483
 
8.8%
3 276
 
5.0%
8 276
 
5.0%
5 233
 
4.3%
2 230
 
4.2%
4 199
 
3.6%
6 182
 
3.3%
0 173
 
3.2%
Other values (8) 370
 
6.8%
Latin
ValueCountFrequency (%)
A 13
36.1%
E 7
19.4%
C 5
 
13.9%
P 4
 
11.1%
L 3
 
8.3%
R 3
 
8.3%
D 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8235
59.9%
ASCII 5514
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2485
45.1%
1 571
 
10.4%
- 483
 
8.8%
3 276
 
5.0%
8 276
 
5.0%
5 233
 
4.2%
2 230
 
4.2%
4 199
 
3.6%
6 182
 
3.3%
0 173
 
3.1%
Other values (15) 406
 
7.4%
Hangul
ValueCountFrequency (%)
산 637
 
7.7%
시 585
 
7.1%
군 577
 
7.0%
북 575
 
7.0%
도 572
 
6.9%
자 562
 
6.8%
전 555
 
6.7%
치 555
 
6.7%
특 555
 
6.7%
별 555
 
6.7%
Other values (176) 2507
30.4%

Interactions

2024-03-15T01:12:33.904128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T01:12:34.241214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T01:12:34.595965image/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

연번업소명소재지(도로명)소재지(지번)
01백운방앗간전북특별자치도 군산시 금광길 21 (명산동)전북특별자치도 군산시 명산동 20-14
12나운떡방앗간전북특별자치도 군산시 신촌2길 6 (조촌동)전북특별자치도 군산시 조촌동 900-3
23형제떡방앗간전북특별자치도 군산시 구암3.1로 205 (구암동)전북특별자치도 군산시 구암동 323-17
34낙원떡방앗간<NA>전북특별자치도 군산시 옥서면 선연리 2130-10
45고창방앗간전북특별자치도 군산시 금광길 17 (명산동)전북특별자치도 군산시 명산동 18-30
56송풍방앗간전북특별자치도 군산시 신풍2길 13 (송풍동)전북특별자치도 군산시 송풍동 915-2
67금암떡방앗간<NA>전북특별자치도 군산시 서수면 금암리 358
78신성떡방아간전북특별자치도 군산시 신성길 17 (산북동)전북특별자치도 군산시 산북동 903-9
89신영방앗간전북특별자치도 군산시 신영2길 4 (신영동)전북특별자치도 군산시 신영동 12-14
910호남기름방앗간전북특별자치도 군산시 신영2길 6 (신영동)전북특별자치도 군산시 신영동 12-12
연번업소명소재지(도로명)소재지(지번)
548549(유)홈마트전북특별자치도 군산시 공단대로 223, 홈마트 (수송동)전북특별자치도 군산시 수송동 50-4
549550이프전북특별자치도 군산시 수송로 185, 롯데마트 (수송동)전북특별자치도 군산시 수송동 833 롯데마트
550551씨브로에프엔씨(F&C)전북특별자치도 군산시 공단대로 221, 홈푸드마트 (수송동)전북특별자치도 군산시 수송동 51-4
551552주식회사 현승에프앤디전북특별자치도 군산시 수송로 185, 롯데마트 (수송동)전북특별자치도 군산시 수송동 833 롯데마트
552553이레웰빙반찬전북특별자치도 군산시 나운안3길 10-4, A동 110호 (나운동)전북특별자치도 군산시 나운동 520-7
553554윤희네김치전북특별자치도 군산시 조촌로 99-1 (조촌동)전북특별자치도 군산시 조촌동 841-7
554555천포면당전북특별자치도 군산시 구암3.1로 137, 이마트 1층 (경암동)전북특별자치도 군산시 경암동 590-296 이마트
555556다시,봄전북특별자치도 군산시 조촌로 130, 롯데몰 군산점 1층 (조촌동)전북특별자치도 군산시 조촌동 450-21 롯데몰 군산점
556557엘티엠푸드 디아이전북특별자치도 군산시 수송로 185, 롯데마트 1층 (수송동)전북특별자치도 군산시 수송동 833 롯데마트
557558전북군산수퍼마켓협동조합전북특별자치도 군산시 조촌로 213, 2동 1층 (경암동)전북특별자치도 군산시 경암동 504-2