Overview

Dataset statistics

Number of variables7
Number of observations1475
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory82.2 KiB
Average record size in memory57.1 B

Variable types

Numeric1
Categorical2
Text4

Dataset

Description대전광역시 서구 식품유통 관련 업종 현황에 대한 데이터로 업종명, 업소명, 주소, 전화번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15104518/fileData.do

Alerts

연번 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:17:52.529984
Analysis finished2023-12-12 04:17:54.233840
Duration1.7 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1475
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean738
Minimum1
Maximum1475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size13.1 KiB
2023-12-12T13:17:54.306865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile74.7
Q1369.5
median738
Q31106.5
95-th percentile1401.3
Maximum1475
Range1474
Interquartile range (IQR)737

Descriptive statistics

Standard deviation425.94014
Coefficient of variation (CV)0.57715466
Kurtosis-1.2
Mean738
Median Absolute Deviation (MAD)369
Skewness0
Sum1088550
Variance181425
MonotonicityStrictly increasing
2023-12-12T13:17:54.468530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
982 1
 
0.1%
991 1
 
0.1%
990 1
 
0.1%
989 1
 
0.1%
988 1
 
0.1%
987 1
 
0.1%
986 1
 
0.1%
985 1
 
0.1%
984 1
 
0.1%
Other values (1465) 1465
99.3%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1475 1
0.1%
1474 1
0.1%
1473 1
0.1%
1472 1
0.1%
1471 1
0.1%
1470 1
0.1%
1469 1
0.1%
1468 1
0.1%
1467 1
0.1%
1466 1
0.1%

업종명
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
즉석판매제조가공업
760 
식품자동판매기영업
338 
유통전문판매업
106 
집단급식소 식품판매업
79 
식품제조가공업
 
73
Other values (6)
119 

Length

Max length11
Median length9
Mean length8.6101695
Min length5

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
즉석판매제조가공업 760
51.5%
식품자동판매기영업 338
22.9%
유통전문판매업 106
 
7.2%
집단급식소 식품판매업 79
 
5.4%
식품제조가공업 73
 
4.9%
식품소분업 66
 
4.5%
기타식품판매업 44
 
3.0%
식품운반업 5
 
0.3%
식품첨가물제조업 2
 
0.1%
식품냉동.냉장업 1
 
0.1%

Length

2023-12-12T13:17:54.663897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
즉석판매제조가공업 760
48.9%
식품자동판매기영업 338
21.8%
유통전문판매업 106
 
6.8%
집단급식소 79
 
5.1%
식품판매업 79
 
5.1%
식품제조가공업 73
 
4.7%
식품소분업 66
 
4.2%
기타식품판매업 44
 
2.8%
식품운반업 5
 
0.3%
식품첨가물제조업 2
 
0.1%
Other values (2) 2
 
0.1%

업소명
Text

Distinct1409
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2023-12-12T13:17:55.012393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length21
Mean length7.1654237
Min length1

Characters and Unicode

Total characters10569
Distinct characters684
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1347 ?
Unique (%)91.3%

Sample

1st row(주)한화갤러리아타임월드
2nd row롯데쇼핑(주)대전점
3rd row후레쉬마트
4th row제이마트
5th row남대전농협하나로마트관저점
ValueCountFrequency (%)
이마트24 58
 
3.2%
주식회사 53
 
2.9%
gs25 23
 
1.3%
씨유 20
 
1.1%
세븐일레븐 15
 
0.8%
대전점 7
 
0.4%
지에스25 6
 
0.3%
30초커피 5
 
0.3%
서부농협 5
 
0.3%
농업회사법인 5
 
0.3%
Other values (1499) 1636
89.3%
2023-12-12T13:17:55.560407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
358
 
3.4%
점 321
 
3.0%
이 241
 
2.3%
대 217
 
2.1%
마 210
 
2.0%
주 196
 
1.9%
전 186
 
1.8%
스 185
 
1.8%
) 171
 
1.6%
( 171
 
1.6%
Other values (674) 8313
78.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9025
85.4%
Space Separator 358
 
3.4%
Decimal Number 323
 
3.1%
Uppercase Letter 259
 
2.5%
Lowercase Letter 239
 
2.3%
Close Punctuation 171
 
1.6%
Open Punctuation 171
 
1.6%
Other Punctuation 21
 
0.2%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 321
 
3.6%
이 241
 
2.7%
대 217
 
2.4%
마 210
 
2.3%
주 196
 
2.2%
전 186
 
2.1%
스 185
 
2.0%
트 165
 
1.8%
원 131
 
1.5%
사 123
 
1.4%
Other values (609) 7050
78.1%
Uppercase Letter
ValueCountFrequency (%)
S 54
20.8%
G 51
19.7%
C 25
9.7%
E 15
 
5.8%
U 15
 
5.8%
O 11
 
4.2%
F 11
 
4.2%
K 10
 
3.9%
A 9
 
3.5%
R 9
 
3.5%
Other values (13) 49
18.9%
Lowercase Letter
ValueCountFrequency (%)
o 33
13.8%
e 33
13.8%
a 18
 
7.5%
m 15
 
6.3%
f 15
 
6.3%
s 14
 
5.9%
r 13
 
5.4%
t 13
 
5.4%
i 12
 
5.0%
c 12
 
5.0%
Other values (11) 61
25.5%
Decimal Number
ValueCountFrequency (%)
2 127
39.3%
4 74
22.9%
5 57
17.6%
1 20
 
6.2%
3 15
 
4.6%
0 12
 
3.7%
9 6
 
1.9%
8 5
 
1.5%
6 4
 
1.2%
7 3
 
0.9%
Other Punctuation
ValueCountFrequency (%)
. 8
38.1%
& 5
23.8%
' 2
 
9.5%
· 2
 
9.5%
, 2
 
9.5%
/ 1
 
4.8%
: 1
 
4.8%
Space Separator
ValueCountFrequency (%)
358
100.0%
Close Punctuation
ValueCountFrequency (%)
) 171
100.0%
Open Punctuation
ValueCountFrequency (%)
( 171
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9024
85.4%
Common 1046
 
9.9%
Latin 498
 
4.7%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 321
 
3.6%
이 241
 
2.7%
대 217
 
2.4%
마 210
 
2.3%
주 196
 
2.2%
전 186
 
2.1%
스 185
 
2.1%
트 165
 
1.8%
원 131
 
1.5%
사 123
 
1.4%
Other values (608) 7049
78.1%
Latin
ValueCountFrequency (%)
S 54
 
10.8%
G 51
 
10.2%
o 33
 
6.6%
e 33
 
6.6%
C 25
 
5.0%
a 18
 
3.6%
m 15
 
3.0%
E 15
 
3.0%
f 15
 
3.0%
U 15
 
3.0%
Other values (34) 224
45.0%
Common
ValueCountFrequency (%)
358
34.2%
) 171
16.3%
( 171
16.3%
2 127
 
12.1%
4 74
 
7.1%
5 57
 
5.4%
1 20
 
1.9%
3 15
 
1.4%
0 12
 
1.1%
. 8
 
0.8%
Other values (11) 33
 
3.2%
Han
ValueCountFrequency (%)
人 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9024
85.4%
ASCII 1542
 
14.6%
None 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
358
23.2%
) 171
11.1%
( 171
11.1%
2 127
 
8.2%
4 74
 
4.8%
5 57
 
3.7%
S 54
 
3.5%
G 51
 
3.3%
o 33
 
2.1%
e 33
 
2.1%
Other values (54) 413
26.8%
Hangul
ValueCountFrequency (%)
점 321
 
3.6%
이 241
 
2.7%
대 217
 
2.4%
마 210
 
2.3%
주 196
 
2.2%
전 186
 
2.1%
스 185
 
2.1%
트 165
 
1.8%
원 131
 
1.5%
사 123
 
1.4%
Other values (608) 7049
78.1%
None
ValueCountFrequency (%)
· 2
100.0%
CJK
ValueCountFrequency (%)
人 1
100.0%

소재지(도로명)
Text

Distinct1386
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2023-12-12T13:17:56.046819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length48
Mean length32.566102
Min length20

Characters and Unicode

Total characters48035
Distinct characters333
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1324 ?
Unique (%)89.8%

Sample

1st row대전광역시 서구 대덕대로 211, 지하2층 (둔산동)
2nd row대전광역시 서구 계룡로 598 (괴정동)
3rd row대전광역시 서구 청사로 70 (월평동,누리(아)상가 지하1,2호)
4th row대전광역시 서구 월평북로 11 (월평동)
5th row대전광역시 서구 구봉로 111, 1층 (관저동)
ValueCountFrequency (%)
서구 1477
 
15.0%
대전광역시 1475
 
15.0%
1층 809
 
8.2%
일부호 330
 
3.4%
둔산동 213
 
2.2%
월평동 128
 
1.3%
관저동 126
 
1.3%
도마동 124
 
1.3%
탄방동 122
 
1.2%
갈마동 118
 
1.2%
Other values (1406) 4917
50.0%
2023-12-12T13:17:56.618782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8365
 
17.4%
1 2567
 
5.3%
동 1722
 
3.6%
대 1691
 
3.5%
) 1634
 
3.4%
( 1634
 
3.4%
서 1543
 
3.2%
, 1516
 
3.2%
구 1514
 
3.2%
시 1510
 
3.1%
Other values (323) 24339
50.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26988
56.2%
Space Separator 8365
 
17.4%
Decimal Number 7608
 
15.8%
Close Punctuation 1634
 
3.4%
Open Punctuation 1634
 
3.4%
Other Punctuation 1519
 
3.2%
Dash Punctuation 210
 
0.4%
Uppercase Letter 65
 
0.1%
Lowercase Letter 7
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1722
 
6.4%
대 1691
 
6.3%
서 1543
 
5.7%
구 1514
 
5.6%
시 1510
 
5.6%
전 1498
 
5.6%
역 1491
 
5.5%
광 1486
 
5.5%
로 1370
 
5.1%
층 1226
 
4.5%
Other values (282) 11937
44.2%
Uppercase Letter
ValueCountFrequency (%)
B 25
38.5%
A 9
 
13.8%
K 6
 
9.2%
D 4
 
6.2%
T 3
 
4.6%
P 2
 
3.1%
S 2
 
3.1%
L 2
 
3.1%
O 2
 
3.1%
F 2
 
3.1%
Other values (7) 8
 
12.3%
Decimal Number
ValueCountFrequency (%)
1 2567
33.7%
2 974
 
12.8%
3 663
 
8.7%
0 650
 
8.5%
5 616
 
8.1%
4 550
 
7.2%
6 446
 
5.9%
7 440
 
5.8%
8 366
 
4.8%
9 336
 
4.4%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
g 1
 
14.3%
d 1
 
14.3%
l 1
 
14.3%
o 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 1516
99.8%
@ 2
 
0.1%
. 1
 
0.1%
Space Separator
ValueCountFrequency (%)
8365
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1634
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1634
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 210
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26988
56.2%
Common 20974
43.7%
Latin 73
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1722
 
6.4%
대 1691
 
6.3%
서 1543
 
5.7%
구 1514
 
5.6%
시 1510
 
5.6%
전 1498
 
5.6%
역 1491
 
5.5%
광 1486
 
5.5%
로 1370
 
5.1%
층 1226
 
4.5%
Other values (282) 11937
44.2%
Latin
ValueCountFrequency (%)
B 25
34.2%
A 9
 
12.3%
K 6
 
8.2%
D 4
 
5.5%
e 3
 
4.1%
T 3
 
4.1%
P 2
 
2.7%
S 2
 
2.7%
L 2
 
2.7%
O 2
 
2.7%
Other values (13) 15
20.5%
Common
ValueCountFrequency (%)
8365
39.9%
1 2567
 
12.2%
) 1634
 
7.8%
( 1634
 
7.8%
, 1516
 
7.2%
2 974
 
4.6%
3 663
 
3.2%
0 650
 
3.1%
5 616
 
2.9%
4 550
 
2.6%
Other values (8) 1805
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26988
56.2%
ASCII 21046
43.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8365
39.7%
1 2567
 
12.2%
) 1634
 
7.8%
( 1634
 
7.8%
, 1516
 
7.2%
2 974
 
4.6%
3 663
 
3.2%
0 650
 
3.1%
5 616
 
2.9%
4 550
 
2.6%
Other values (30) 1877
 
8.9%
Hangul
ValueCountFrequency (%)
동 1722
 
6.4%
대 1691
 
6.3%
서 1543
 
5.7%
구 1514
 
5.6%
시 1510
 
5.6%
전 1498
 
5.6%
역 1491
 
5.5%
광 1486
 
5.5%
로 1370
 
5.1%
층 1226
 
4.5%
Other values (282) 11937
44.2%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%

소재지(지번)
Text

Distinct1224
Distinct (%)83.1%
Missing2
Missing (%)0.1%
Memory size11.7 KiB
2023-12-12T13:17:57.056373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length35
Mean length20.524779
Min length14

Characters and Unicode

Total characters30233
Distinct characters295
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1070 ?
Unique (%)72.6%

Sample

1st row대전광역시 서구 둔산동 1036 지하2층
2nd row대전광역시 서구 괴정동 423-1
3rd row대전광역시 서구 월평동 301 누리(아)상가 지하1,2호
4th row대전광역시 서구 월평동 218
5th row대전광역시 서구 관저동 1523 1층
ValueCountFrequency (%)
서구 1475
22.7%
대전광역시 1473
22.6%
둔산동 230
 
3.5%
월평동 144
 
2.2%
도마동 136
 
2.1%
관저동 131
 
2.0%
탄방동 126
 
1.9%
갈마동 124
 
1.9%
1층 109
 
1.7%
괴정동 97
 
1.5%
Other values (1386) 2467
37.9%
2023-12-12T13:17:57.588521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6504
21.5%
대 1507
 
5.0%
전 1496
 
4.9%
시 1486
 
4.9%
광 1484
 
4.9%
동 1481
 
4.9%
서 1480
 
4.9%
역 1478
 
4.9%
구 1476
 
4.9%
1 1423
 
4.7%
Other values (285) 10418
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16997
56.2%
Space Separator 6504
 
21.5%
Decimal Number 5887
 
19.5%
Dash Punctuation 655
 
2.2%
Close Punctuation 66
 
0.2%
Open Punctuation 66
 
0.2%
Uppercase Letter 38
 
0.1%
Other Punctuation 8
 
< 0.1%
Lowercase Letter 7
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1507
 
8.9%
전 1496
 
8.8%
시 1486
 
8.7%
광 1484
 
8.7%
동 1481
 
8.7%
서 1480
 
8.7%
역 1478
 
8.7%
구 1476
 
8.7%
마 295
 
1.7%
산 262
 
1.5%
Other values (245) 4552
26.8%
Uppercase Letter
ValueCountFrequency (%)
B 7
18.4%
A 6
15.8%
K 6
15.8%
T 3
7.9%
S 2
 
5.3%
P 2
 
5.3%
D 2
 
5.3%
L 2
 
5.3%
O 2
 
5.3%
M 1
 
2.6%
Other values (5) 5
13.2%
Decimal Number
ValueCountFrequency (%)
1 1423
24.2%
2 665
11.3%
3 607
10.3%
4 512
 
8.7%
8 483
 
8.2%
0 468
 
7.9%
9 464
 
7.9%
6 440
 
7.5%
5 438
 
7.4%
7 387
 
6.6%
Lowercase Letter
ValueCountFrequency (%)
e 3
42.9%
g 1
 
14.3%
d 1
 
14.3%
l 1
 
14.3%
o 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
. 1
 
12.5%
@ 1
 
12.5%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
6504
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 655
100.0%
Close Punctuation
ValueCountFrequency (%)
) 66
100.0%
Open Punctuation
ValueCountFrequency (%)
( 66
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16997
56.2%
Common 13189
43.6%
Latin 47
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1507
 
8.9%
전 1496
 
8.8%
시 1486
 
8.7%
광 1484
 
8.7%
동 1481
 
8.7%
서 1480
 
8.7%
역 1478
 
8.7%
구 1476
 
8.7%
마 295
 
1.7%
산 262
 
1.5%
Other values (245) 4552
26.8%
Latin
ValueCountFrequency (%)
B 7
14.9%
A 6
12.8%
K 6
12.8%
e 3
 
6.4%
T 3
 
6.4%
S 2
 
4.3%
P 2
 
4.3%
D 2
 
4.3%
L 2
 
4.3%
O 2
 
4.3%
Other values (12) 12
25.5%
Common
ValueCountFrequency (%)
6504
49.3%
1 1423
 
10.8%
2 665
 
5.0%
- 655
 
5.0%
3 607
 
4.6%
4 512
 
3.9%
8 483
 
3.7%
0 468
 
3.5%
9 464
 
3.5%
6 440
 
3.3%
Other values (8) 968
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16997
56.2%
ASCII 13234
43.8%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6504
49.1%
1 1423
 
10.8%
2 665
 
5.0%
- 655
 
4.9%
3 607
 
4.6%
4 512
 
3.9%
8 483
 
3.6%
0 468
 
3.5%
9 464
 
3.5%
6 440
 
3.3%
Other values (28) 1013
 
7.7%
Hangul
ValueCountFrequency (%)
대 1507
 
8.9%
전 1496
 
8.8%
시 1486
 
8.7%
광 1484
 
8.7%
동 1481
 
8.7%
서 1480
 
8.7%
역 1478
 
8.7%
구 1476
 
8.7%
마 295
 
1.7%
산 262
 
1.5%
Other values (245) 4552
26.8%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
50.0%
Ⅰ 1
50.0%

소재지전화
Text

Distinct643
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
2023-12-12T13:17:57.892923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length10.381695
Min length9

Characters and Unicode

Total characters15313
Distinct characters19
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique615 ?
Unique (%)41.7%

Sample

1st row042-483-3000
2nd row042-601-2002
3rd row042-485-4297
4th row042-482-6969
5th row042-545-4828
ValueCountFrequency (%)
개인번호로 802
35.2%
비공개 802
35.2%
042-581-5282 3
 
0.1%
042-479-1234 3
 
0.1%
042-718-1050 3
 
0.1%
042-479-9000 3
 
0.1%
042-542-6677 2
 
0.1%
042-525-6711 2
 
0.1%
042-334-0032 2
 
0.1%
042-486-5238 2
 
0.1%
Other values (634) 653
28.7%
2023-12-12T13:17:58.463020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
개 1604
 
10.5%
- 1343
 
8.8%
4 1235
 
8.1%
2 1148
 
7.5%
0 1082
 
7.1%
호 802
 
5.2%
로 802
 
5.2%
802
 
5.2%
비 802
 
5.2%
공 802
 
5.2%
Other values (9) 4891
31.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6752
44.1%
Other Letter 6416
41.9%
Dash Punctuation 1343
 
8.8%
Space Separator 802
 
5.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 1235
18.3%
2 1148
17.0%
0 1082
16.0%
5 769
11.4%
8 599
8.9%
3 486
 
7.2%
7 416
 
6.2%
1 397
 
5.9%
6 329
 
4.9%
9 291
 
4.3%
Other Letter
ValueCountFrequency (%)
개 1604
25.0%
호 802
12.5%
로 802
12.5%
비 802
12.5%
공 802
12.5%
인 802
12.5%
번 802
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 1343
100.0%
Space Separator
ValueCountFrequency (%)
802
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8897
58.1%
Hangul 6416
41.9%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1343
15.1%
4 1235
13.9%
2 1148
12.9%
0 1082
12.2%
802
9.0%
5 769
8.6%
8 599
6.7%
3 486
 
5.5%
7 416
 
4.7%
1 397
 
4.5%
Other values (2) 620
7.0%
Hangul
ValueCountFrequency (%)
개 1604
25.0%
호 802
12.5%
로 802
12.5%
비 802
12.5%
공 802
12.5%
인 802
12.5%
번 802
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8897
58.1%
Hangul 6416
41.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
개 1604
25.0%
호 802
12.5%
로 802
12.5%
비 802
12.5%
공 802
12.5%
인 802
12.5%
번 802
12.5%
ASCII
ValueCountFrequency (%)
- 1343
15.1%
4 1235
13.9%
2 1148
12.9%
0 1082
12.2%
802
9.0%
5 769
8.6%
8 599
6.7%
3 486
 
5.5%
7 416
 
4.7%
1 397
 
4.5%
Other values (2) 620
7.0%

행정동명
Categorical

Distinct26
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size11.7 KiB
둔산2동
128 
탄방동
126 
도마1동
109 
괴정동
97 
도안동
 
90
Other values (21)
925 

Length

Max length4
Median length4
Mean length3.4983051
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row둔산2동
2nd row괴정동
3rd row월평3동
4th row월평2동
5th row관저2동

Common Values

ValueCountFrequency (%)
둔산2동 128
 
8.7%
탄방동 126
 
8.5%
도마1동 109
 
7.4%
괴정동 97
 
6.6%
도안동 90
 
6.1%
갈마1동 85
 
5.8%
월평1동 84
 
5.7%
관저2동 76
 
5.2%
가수원동 60
 
4.1%
복수동 59
 
4.0%
Other values (16) 561
38.0%

Length

2023-12-12T13:17:58.691351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
둔산2동 128
 
8.7%
탄방동 126
 
8.5%
도마1동 109
 
7.4%
괴정동 97
 
6.6%
도안동 90
 
6.1%
갈마1동 85
 
5.8%
월평1동 84
 
5.7%
관저2동 76
 
5.2%
가수원동 60
 
4.1%
복수동 59
 
4.0%
Other values (16) 561
38.0%

Interactions

2023-12-12T13:17:53.520454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T13:17:58.804562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명행정동명
연번1.0000.8470.268
업종명0.8471.0000.325
행정동명0.2680.3251.000
2023-12-12T13:17:58.940481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명행정동명
업종명1.0000.119
행정동명0.1191.000
2023-12-12T13:17:59.059092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종명행정동명
연번1.0000.5740.097
업종명0.5741.0000.119
행정동명0.0970.1191.000

Missing values

2023-12-12T13:17:54.037083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:17:54.185225image/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

연번업종명업소명소재지(도로명)소재지(지번)소재지전화행정동명
01기타식품판매업(주)한화갤러리아타임월드대전광역시 서구 대덕대로 211, 지하2층 (둔산동)대전광역시 서구 둔산동 1036 지하2층042-483-3000둔산2동
12기타식품판매업롯데쇼핑(주)대전점대전광역시 서구 계룡로 598 (괴정동)대전광역시 서구 괴정동 423-1042-601-2002괴정동
23기타식품판매업후레쉬마트대전광역시 서구 청사로 70 (월평동,누리(아)상가 지하1,2호)대전광역시 서구 월평동 301 누리(아)상가 지하1,2호042-485-4297월평3동
34기타식품판매업제이마트대전광역시 서구 월평북로 11 (월평동)대전광역시 서구 월평동 218042-482-6969월평2동
45기타식품판매업남대전농협하나로마트관저점대전광역시 서구 구봉로 111, 1층 (관저동)대전광역시 서구 관저동 1523 1층042-545-4828관저2동
56기타식품판매업(주)도안홈마트대전광역시 서구 도안북로93번길 26-21, 1층 (도안동)대전광역시 서구 도안동 859 1층042-823-1300도안동
67기타식품판매업노브랜드 탄방점대전광역시 서구 탄방로 8, 1층 (탄방동)대전광역시 서구 탄방동 793042-471-1234탄방동
78기타식품판매업주식회사 정림스토아정림점대전광역시 서구 정림로 56-10, 지하1층 (정림동, 정림프라자)대전광역시 서구 정림동 621042-583-5245정림동
89기타식품판매업주식회사 제이앤에스마트도안점대전광역시 서구 원도안로 51, 성광타워 1층 104,105,113호 (가수원동)대전광역시 서구 가수원동 847 성광타워042-544-8911가수원동
910기타식품판매업영마트대전광역시 서구 구봉산북로 255, 1층 (관저동)대전광역시 서구 관저동 1605개인번호로 비공개관저1동
연번업종명업소명소재지(도로명)소재지(지번)소재지전화행정동명
14651466집단급식소 식품판매업그린유통대전광역시 서구 월평로48번길 20, 1층 102호 (월평동)대전광역시 서구 월평동 930042-487-8535월평1동
14661467집단급식소 식품판매업장인축산유통대전광역시 서구 도마6길 178, C동 1층 일부 (도마동)대전광역시 서구 도마동 86-101개인번호로 비공개도마1동
14671468집단급식소 식품판매업한울대전광역시 서구 원도안로224번길 47-37, 1층 일부호 (도안동)대전광역시 서구 도안동 1069개인번호로 비공개도안동
14681469집단급식소 식품판매업친환경바른먹거리사회적협동조합대전광역시 서구 배재로 42-1, 1층 일부호 (도마동)대전광역시 서구 도마동 549-2042-331-3666도마2동
14691470집단급식소 식품판매업제이엠유통대전광역시 서구 배재로233번길 53, 1층 일부호 (변동)대전광역시 서구 변동 253-6개인번호로 비공개변동
14701471집단급식소 식품판매업제이앤에스마트 도안점대전광역시 서구 원도안로 51, 성광타워 1층 113호 (도안동)대전광역시 서구 도안동 1580 성광타워개인번호로 비공개도안동
14711472집단급식소 식품판매업주식회사 공주축산대전광역시 서구 도솔로245번길 7, 1층 101호 (내동)대전광역시 서구 내동 22-12042-538-9906내동
14721473집단급식소 식품판매업명가유통대전광역시 서구 배재로233번길 64, 1층 일부호 (변동)대전광역시 서구 변동 254-60개인번호로 비공개변동
14731474집단급식소 식품판매업케이F/S대전광역시 서구 갈마로313번길 7, 1층 (가장동)대전광역시 서구 가장동 41-43개인번호로 비공개가장동
14741475집단급식소 식품판매업우리방앗간대전광역시 서구 신갈마로 151, 1층 일부호 (갈마동)대전광역시 서구 갈마동 377-11개인번호로 비공개갈마1동