Overview

Dataset statistics

Number of variables3
Number of observations1612
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory39.5 KiB
Average record size in memory25.1 B

Variable types

Numeric1
Text2

Dataset

Description서구 관내에서 영업중인 의료기기 판매(임대)업소 정보에 대한 데이터로 업소명과 소재지 등 항목의 정보를 제공합니다.
Author대전광역시 서구
URLhttps://www.data.go.kr/data/3059396/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 11:01:16.206457
Analysis finished2023-12-12 11:01:17.282696
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1612
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean806.5
Minimum1
Maximum1612
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.3 KiB
2023-12-12T20:01:17.378928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile81.55
Q1403.75
median806.5
Q31209.25
95-th percentile1531.45
Maximum1612
Range1611
Interquartile range (IQR)805.5

Descriptive statistics

Standard deviation465.48863
Coefficient of variation (CV)0.57717127
Kurtosis-1.2
Mean806.5
Median Absolute Deviation (MAD)403
Skewness0
Sum1300078
Variance216679.67
MonotonicityStrictly increasing
2023-12-12T20:01:17.612287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
1073 1
 
0.1%
1083 1
 
0.1%
1082 1
 
0.1%
1081 1
 
0.1%
1080 1
 
0.1%
1079 1
 
0.1%
1078 1
 
0.1%
1077 1
 
0.1%
1076 1
 
0.1%
Other values (1602) 1602
99.4%
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 (%)
1612 1
0.1%
1611 1
0.1%
1610 1
0.1%
1609 1
0.1%
1608 1
0.1%
1607 1
0.1%
1606 1
0.1%
1605 1
0.1%
1604 1
0.1%
1603 1
0.1%

영업소명
Text

Distinct1603
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2023-12-12T20:01:17.985039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length23
Mean length7.9913151
Min length2

Characters and Unicode

Total characters12882
Distinct characters568
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1595 ?
Unique (%)98.9%

Sample

1st row(주)공간에이치
2nd row(주)코리아세븐 대전정림제일점
3rd row지유앤샵
4th row에덴복지용구
5th row에스케이메디칼
ValueCountFrequency (%)
세븐일레븐 72
 
3.5%
주식회사 65
 
3.1%
씨유 36
 
1.7%
gs25 29
 
1.4%
지에스25 19
 
0.9%
cu 18
 
0.9%
이마트24 17
 
0.8%
주)코리아세븐 10
 
0.5%
대전둔산점 8
 
0.4%
주)아성다이소 8
 
0.4%
Other values (1700) 1799
86.4%
2023-12-12T20:01:18.992689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 498
 
3.9%
469
 
3.6%
이 404
 
3.1%
스 376
 
2.9%
디 367
 
2.8%
메 342
 
2.7%
대 323
 
2.5%
주 297
 
2.3%
전 288
 
2.2%
) 265
 
2.1%
Other values (558) 9253
71.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10807
83.9%
Uppercase Letter 485
 
3.8%
Space Separator 469
 
3.6%
Decimal Number 411
 
3.2%
Close Punctuation 265
 
2.1%
Open Punctuation 264
 
2.0%
Lowercase Letter 141
 
1.1%
Other Symbol 22
 
0.2%
Other Punctuation 12
 
0.1%
Dash Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 498
 
4.6%
이 404
 
3.7%
스 376
 
3.5%
디 367
 
3.4%
메 342
 
3.2%
대 323
 
3.0%
주 297
 
2.7%
전 288
 
2.7%
에 191
 
1.8%
사 173
 
1.6%
Other values (496) 7548
69.8%
Uppercase Letter
ValueCountFrequency (%)
S 130
26.8%
G 114
23.5%
C 45
 
9.3%
U 35
 
7.2%
T 18
 
3.7%
N 15
 
3.1%
M 14
 
2.9%
H 14
 
2.9%
D 12
 
2.5%
I 12
 
2.5%
Other values (14) 76
15.7%
Lowercase Letter
ValueCountFrequency (%)
e 16
11.3%
a 16
11.3%
l 13
 
9.2%
d 11
 
7.8%
m 10
 
7.1%
c 9
 
6.4%
i 9
 
6.4%
t 8
 
5.7%
h 7
 
5.0%
p 6
 
4.3%
Other values (10) 36
25.5%
Decimal Number
ValueCountFrequency (%)
2 187
45.5%
5 150
36.5%
4 40
 
9.7%
3 13
 
3.2%
1 6
 
1.5%
0 5
 
1.2%
8 4
 
1.0%
7 2
 
0.5%
6 2
 
0.5%
9 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
& 8
66.7%
. 2
 
16.7%
, 2
 
16.7%
Space Separator
ValueCountFrequency (%)
469
100.0%
Close Punctuation
ValueCountFrequency (%)
) 265
100.0%
Open Punctuation
ValueCountFrequency (%)
( 264
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10828
84.1%
Common 1427
 
11.1%
Latin 626
 
4.9%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 498
 
4.6%
이 404
 
3.7%
스 376
 
3.5%
디 367
 
3.4%
메 342
 
3.2%
대 323
 
3.0%
주 297
 
2.7%
전 288
 
2.7%
에 191
 
1.8%
사 173
 
1.6%
Other values (496) 7569
69.9%
Latin
ValueCountFrequency (%)
S 130
20.8%
G 114
18.2%
C 45
 
7.2%
U 35
 
5.6%
T 18
 
2.9%
e 16
 
2.6%
a 16
 
2.6%
N 15
 
2.4%
M 14
 
2.2%
H 14
 
2.2%
Other values (34) 209
33.4%
Common
ValueCountFrequency (%)
469
32.9%
) 265
18.6%
( 264
18.5%
2 187
 
13.1%
5 150
 
10.5%
4 40
 
2.8%
3 13
 
0.9%
& 8
 
0.6%
- 6
 
0.4%
1 6
 
0.4%
Other values (7) 19
 
1.3%
Han
ValueCountFrequency (%)
正 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10806
83.9%
ASCII 2053
 
15.9%
None 22
 
0.2%
CJK 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 498
 
4.6%
이 404
 
3.7%
스 376
 
3.5%
디 367
 
3.4%
메 342
 
3.2%
대 323
 
3.0%
주 297
 
2.7%
전 288
 
2.7%
에 191
 
1.8%
사 173
 
1.6%
Other values (495) 7547
69.8%
ASCII
ValueCountFrequency (%)
469
22.8%
) 265
12.9%
( 264
12.9%
2 187
 
9.1%
5 150
 
7.3%
S 130
 
6.3%
G 114
 
5.6%
C 45
 
2.2%
4 40
 
1.9%
U 35
 
1.7%
Other values (51) 354
17.2%
None
ValueCountFrequency (%)
㈜ 22
100.0%
CJK
ValueCountFrequency (%)
正 1
100.0%

영업소소재지(도로명)
Text

Distinct1591
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size12.7 KiB
2023-12-12T20:01:19.522067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length49
Mean length31.96402
Min length19

Characters and Unicode

Total characters51526
Distinct characters369
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1574 ?
Unique (%)97.6%

Sample

1st row대전광역시 서구 둔산로 133, 5층 511호 (둔산동)
2nd row대전광역시 서구 정림로 10, 1층 103호 (정림동)
3rd row대전광역시 서구 문정로90번길 65, 1동 6층 602호 일부(A129호)호 (탄방동)
4th row대전광역시 서구 계백로1158번길 130, 1층 (가수원동)
5th row대전광역시 서구 구봉산북로21번길 32-6, 2층 202호 (관저동)
ValueCountFrequency (%)
대전광역시 1612
 
15.4%
서구 1609
 
15.4%
1층 418
 
4.0%
둔산동 276
 
2.6%
월평동 233
 
2.2%
탄방동 180
 
1.7%
2층 134
 
1.3%
괴정동 125
 
1.2%
대덕대로 120
 
1.1%
관저동 104
 
1.0%
Other values (1739) 5652
54.0%
2023-12-12T20:01:20.406640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8857
 
17.2%
1 2289
 
4.4%
대 2081
 
4.0%
동 1833
 
3.6%
, 1718
 
3.3%
서 1674
 
3.2%
구 1651
 
3.2%
( 1643
 
3.2%
전 1643
 
3.2%
) 1643
 
3.2%
Other values (359) 26494
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28006
54.4%
Decimal Number 9343
 
18.1%
Space Separator 8857
 
17.2%
Other Punctuation 1719
 
3.3%
Open Punctuation 1643
 
3.2%
Close Punctuation 1643
 
3.2%
Dash Punctuation 182
 
0.4%
Uppercase Letter 112
 
0.2%
Lowercase Letter 15
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 2081
 
7.4%
동 1833
 
6.5%
서 1674
 
6.0%
구 1651
 
5.9%
전 1643
 
5.9%
역 1633
 
5.8%
시 1630
 
5.8%
광 1617
 
5.8%
로 1583
 
5.7%
층 921
 
3.3%
Other values (317) 11740
41.9%
Uppercase Letter
ValueCountFrequency (%)
B 25
22.3%
A 20
17.9%
R 13
11.6%
P 10
 
8.9%
L 8
 
7.1%
O 7
 
6.2%
G 5
 
4.5%
T 5
 
4.5%
C 4
 
3.6%
S 3
 
2.7%
Other values (9) 12
10.7%
Decimal Number
ValueCountFrequency (%)
1 2289
24.5%
2 1349
14.4%
0 1065
11.4%
3 994
10.6%
5 804
 
8.6%
4 778
 
8.3%
6 620
 
6.6%
7 513
 
5.5%
8 508
 
5.4%
9 423
 
4.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
40.0%
l 3
20.0%
c 3
20.0%
a 3
20.0%
Other Punctuation
ValueCountFrequency (%)
, 1718
99.9%
@ 1
 
0.1%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅰ 1
50.0%
Space Separator
ValueCountFrequency (%)
8857
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1643
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1643
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28005
54.4%
Common 23391
45.4%
Latin 129
 
0.3%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 2081
 
7.4%
동 1833
 
6.5%
서 1674
 
6.0%
구 1651
 
5.9%
전 1643
 
5.9%
역 1633
 
5.8%
시 1630
 
5.8%
광 1617
 
5.8%
로 1583
 
5.7%
층 921
 
3.3%
Other values (316) 11739
41.9%
Latin
ValueCountFrequency (%)
B 25
19.4%
A 20
15.5%
R 13
10.1%
P 10
 
7.8%
L 8
 
6.2%
O 7
 
5.4%
e 6
 
4.7%
G 5
 
3.9%
T 5
 
3.9%
C 4
 
3.1%
Other values (15) 26
20.2%
Common
ValueCountFrequency (%)
8857
37.9%
1 2289
 
9.8%
, 1718
 
7.3%
( 1643
 
7.0%
) 1643
 
7.0%
2 1349
 
5.8%
0 1065
 
4.6%
3 994
 
4.2%
5 804
 
3.4%
4 778
 
3.3%
Other values (7) 2251
 
9.6%
Han
ValueCountFrequency (%)
家 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28005
54.4%
ASCII 23518
45.6%
Number Forms 2
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8857
37.7%
1 2289
 
9.7%
, 1718
 
7.3%
( 1643
 
7.0%
) 1643
 
7.0%
2 1349
 
5.7%
0 1065
 
4.5%
3 994
 
4.2%
5 804
 
3.4%
4 778
 
3.3%
Other values (30) 2378
 
10.1%
Hangul
ValueCountFrequency (%)
대 2081
 
7.4%
동 1833
 
6.5%
서 1674
 
6.0%
구 1651
 
5.9%
전 1643
 
5.9%
역 1633
 
5.8%
시 1630
 
5.8%
광 1617
 
5.8%
로 1583
 
5.7%
층 921
 
3.3%
Other values (316) 11739
41.9%
CJK
ValueCountFrequency (%)
家 1
100.0%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
50.0%
Ⅰ 1
50.0%

Interactions

2023-12-12T20:01:16.852913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-12T20:01:17.108476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:01:17.231586image/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

순번영업소명영업소소재지(도로명)
01(주)공간에이치대전광역시 서구 둔산로 133, 5층 511호 (둔산동)
12(주)코리아세븐 대전정림제일점대전광역시 서구 정림로 10, 1층 103호 (정림동)
23지유앤샵대전광역시 서구 문정로90번길 65, 1동 6층 602호 일부(A129호)호 (탄방동)
34에덴복지용구대전광역시 서구 계백로1158번길 130, 1층 (가수원동)
45에스케이메디칼대전광역시 서구 구봉산북로21번길 32-6, 2층 202호 (관저동)
56주식회사 쿨쿨대전광역시 서구 둔산로 8, 8층 801,802호 일부(Place O)호 (둔산동)
67스마일 엘소연대전광역시 서구 도안동로 77, 1802동 1304호 (도안동, 도안18단지린풀하우스)
78씨유 대전만년베스트점대전광역시 서구 만년남로11번길 55, 1층 (만년동)
89씨유 대전월평초점대전광역시 서구 월평서로 8, 1층 (월평동)
910윔블대전광역시 서구 한밭대로656번길 59, 3층 302호 (갈마동)
순번영업소명영업소소재지(도로명)
16021603롯데백화점 압소바대전광역시 서구 계룡로 598, 6층 (괴정동)
16031604경희의료기대전광역시 서구 문정로 6, 1층 (탄방동, 국민연금빌딩)
16041605청운메디칼대전광역시 서구 괴정로 93-26 (괴정동)
16051606롯데쇼핑(주)대전점대전광역시 서구 계룡로 598, 지하1층 (괴정동, 롯데백화점)
16061607대전충남치과의사신용협동조합대전광역시 서구 갈마로 40, 2층 (갈마동)
16071608삼양메디칼대전광역시 서구 문정로122번길 30 (탄방동)
16081609주식회사나우리대전광역시 서구 변동중로 72, 1층 (변동)
16091610(주)한화갤러리아타임월드대전광역시 서구 대덕대로 211, 9층 (둔산동)
16101611㈜고려덴탈대전광역시 서구 대덕대로185번길 45, 5층 (둔산동)
16111612세영메디칼상사대전광역시 서구 도산로 208 (변동)