Overview

Dataset statistics

Number of variables4
Number of observations808
Missing cells576
Missing cells (%)17.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.2 KiB
Average record size in memory33.2 B

Variable types

Numeric1
Text3

Dataset

Description광진구에 소재한 의료기기 판매업소의 업소명, 영업소소재지(도로명), 전화번호 등에 대한 정보( 또는 데이터)를 제공합니다.
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/3054115/fileData.do

Alerts

영업소 전화번호 has 576 (71.3%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 15:02:58.238837
Analysis finished2024-03-14 15:02:59.625590
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct808
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean404.5
Minimum1
Maximum808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.2 KiB
2024-03-15T00:02:59.840568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile41.35
Q1202.75
median404.5
Q3606.25
95-th percentile767.65
Maximum808
Range807
Interquartile range (IQR)403.5

Descriptive statistics

Standard deviation233.3938
Coefficient of variation (CV)0.57699333
Kurtosis-1.2
Mean404.5
Median Absolute Deviation (MAD)202
Skewness0
Sum326836
Variance54472.667
MonotonicityStrictly increasing
2024-03-15T00:03:00.310468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
544 1
 
0.1%
534 1
 
0.1%
535 1
 
0.1%
536 1
 
0.1%
537 1
 
0.1%
538 1
 
0.1%
539 1
 
0.1%
540 1
 
0.1%
541 1
 
0.1%
Other values (798) 798
98.8%
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 (%)
808 1
0.1%
807 1
0.1%
806 1
0.1%
805 1
0.1%
804 1
0.1%
803 1
0.1%
802 1
0.1%
801 1
0.1%
800 1
0.1%
799 1
0.1%

영업소명
Text

Distinct805
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-03-15T00:03:01.266809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length21
Mean length9.0024752
Min length2

Characters and Unicode

Total characters7274
Distinct characters475
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

Unique802 ?
Unique (%)99.3%

Sample

1st row신라메디칼
2nd row끌랩
3rd row나이스메디텍
4th row주식회사 엠로직스
5th row(주)아성다이소 엔터식스강변점
ValueCountFrequency (%)
주식회사 101
 
8.7%
세븐일레븐 41
 
3.5%
지에스(gs)25 23
 
2.0%
씨유(cu 18
 
1.6%
씨제이올리브영(주 10
 
0.9%
주)코리아세븐 9
 
0.8%
씨유 8
 
0.7%
지에스25 7
 
0.6%
주 6
 
0.5%
주)아성다이소 6
 
0.5%
Other values (867) 932
80.3%
2024-03-15T00:03:02.625859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
353
 
4.9%
) 264
 
3.6%
( 263
 
3.6%
점 253
 
3.5%
주 248
 
3.4%
스 239
 
3.3%
이 213
 
2.9%
에 147
 
2.0%
사 125
 
1.7%
디 124
 
1.7%
Other values (465) 5045
69.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5774
79.4%
Space Separator 353
 
4.9%
Uppercase Letter 297
 
4.1%
Close Punctuation 264
 
3.6%
Open Punctuation 263
 
3.6%
Decimal Number 196
 
2.7%
Lowercase Letter 115
 
1.6%
Other Punctuation 5
 
0.1%
Other Symbol 4
 
0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 253
 
4.4%
주 248
 
4.3%
스 239
 
4.1%
이 213
 
3.7%
에 147
 
2.5%
사 125
 
2.2%
디 124
 
2.1%
븐 121
 
2.1%
메 118
 
2.0%
지 114
 
2.0%
Other values (407) 4072
70.5%
Uppercase Letter
ValueCountFrequency (%)
S 76
25.6%
G 61
20.5%
C 33
11.1%
U 29
 
9.8%
M 15
 
5.1%
A 10
 
3.4%
E 10
 
3.4%
O 8
 
2.7%
B 7
 
2.4%
R 7
 
2.4%
Other values (12) 41
13.8%
Lowercase Letter
ValueCountFrequency (%)
e 20
17.4%
r 12
10.4%
i 10
 
8.7%
o 9
 
7.8%
a 8
 
7.0%
t 8
 
7.0%
d 6
 
5.2%
u 6
 
5.2%
m 4
 
3.5%
c 4
 
3.5%
Other values (12) 28
24.3%
Decimal Number
ValueCountFrequency (%)
2 93
47.4%
5 74
37.8%
4 15
 
7.7%
3 6
 
3.1%
1 4
 
2.0%
7 2
 
1.0%
0 2
 
1.0%
Space Separator
ValueCountFrequency (%)
353
100.0%
Close Punctuation
ValueCountFrequency (%)
) 264
100.0%
Open Punctuation
ValueCountFrequency (%)
( 263
100.0%
Other Punctuation
ValueCountFrequency (%)
& 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 4
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5778
79.4%
Common 1084
 
14.9%
Latin 412
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 253
 
4.4%
주 248
 
4.3%
스 239
 
4.1%
이 213
 
3.7%
에 147
 
2.5%
사 125
 
2.2%
디 124
 
2.1%
븐 121
 
2.1%
메 118
 
2.0%
지 114
 
2.0%
Other values (408) 4076
70.5%
Latin
ValueCountFrequency (%)
S 76
18.4%
G 61
14.8%
C 33
 
8.0%
U 29
 
7.0%
e 20
 
4.9%
M 15
 
3.6%
r 12
 
2.9%
i 10
 
2.4%
A 10
 
2.4%
E 10
 
2.4%
Other values (34) 136
33.0%
Common
ValueCountFrequency (%)
353
32.6%
) 264
24.4%
( 263
24.3%
2 93
 
8.6%
5 74
 
6.8%
4 15
 
1.4%
3 6
 
0.6%
& 5
 
0.5%
1 4
 
0.4%
+ 2
 
0.2%
Other values (3) 5
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5774
79.4%
ASCII 1496
 
20.6%
None 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
353
23.6%
) 264
17.6%
( 263
17.6%
2 93
 
6.2%
S 76
 
5.1%
5 74
 
4.9%
G 61
 
4.1%
C 33
 
2.2%
U 29
 
1.9%
e 20
 
1.3%
Other values (47) 230
15.4%
Hangul
ValueCountFrequency (%)
점 253
 
4.4%
주 248
 
4.3%
스 239
 
4.1%
이 213
 
3.7%
에 147
 
2.5%
사 125
 
2.2%
디 124
 
2.1%
븐 121
 
2.1%
메 118
 
2.0%
지 114
 
2.0%
Other values (407) 4072
70.5%
None
ValueCountFrequency (%)
㈜ 4
100.0%

영업소소재지(도로명)
Text

Distinct779
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size6.4 KiB
2024-03-15T00:03:03.902009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length54
Mean length34.875
Min length22

Characters and Unicode

Total characters28179
Distinct characters299
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique754 ?
Unique (%)93.3%

Sample

1st row서울특별시 광진구 광나루로56길 85, 테크노-마트21 23층 11호 (구의동)
2nd row서울특별시 광진구 능동로 69, 1층 119호 (자양동, 자양 호반써밋)
3rd row서울특별시 광진구 군자로2길 4, 1층 (화양동)
4th row서울특별시 광진구 광나루로56길 63, 프라임프라자 b1층 113-18호 (구의동)
5th row서울특별시 광진구 광나루로56길 85, 테크노-마트21 1층 B-52~57,62~70,72~97, C-1호 (구의동)
ValueCountFrequency (%)
서울특별시 808
 
14.6%
광진구 808
 
14.6%
1층 267
 
4.8%
구의동 219
 
3.9%
중곡동 159
 
2.9%
자양동 155
 
2.8%
2층 125
 
2.3%
아차산로 81
 
1.5%
군자동 78
 
1.4%
화양동 68
 
1.2%
Other values (1121) 2780
50.1%
2024-03-15T00:03:05.739689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4742
 
16.8%
1 1201
 
4.3%
동 1086
 
3.9%
구 1084
 
3.8%
광 1015
 
3.6%
, 974
 
3.5%
진 846
 
3.0%
시 824
 
2.9%
로 816
 
2.9%
서 813
 
2.9%
Other values (289) 14778
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15706
55.7%
Decimal Number 4872
 
17.3%
Space Separator 4742
 
16.8%
Other Punctuation 976
 
3.5%
Close Punctuation 811
 
2.9%
Open Punctuation 811
 
2.9%
Dash Punctuation 163
 
0.6%
Uppercase Letter 79
 
0.3%
Lowercase Letter 10
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1086
 
6.9%
구 1084
 
6.9%
광 1015
 
6.5%
진 846
 
5.4%
시 824
 
5.2%
로 816
 
5.2%
서 813
 
5.2%
울 808
 
5.1%
특 808
 
5.1%
별 808
 
5.1%
Other values (247) 6798
43.3%
Uppercase Letter
ValueCountFrequency (%)
B 26
32.9%
C 12
15.2%
A 10
 
12.7%
D 7
 
8.9%
S 5
 
6.3%
E 3
 
3.8%
H 2
 
2.5%
Y 2
 
2.5%
Z 2
 
2.5%
M 2
 
2.5%
Other values (7) 8
 
10.1%
Decimal Number
ValueCountFrequency (%)
1 1201
24.7%
2 653
13.4%
3 540
11.1%
5 493
10.1%
0 465
 
9.5%
4 422
 
8.7%
6 397
 
8.1%
8 271
 
5.6%
7 265
 
5.4%
9 165
 
3.4%
Lowercase Letter
ValueCountFrequency (%)
b 3
30.0%
e 2
20.0%
o 1
 
10.0%
t 1
 
10.0%
w 1
 
10.0%
r 1
 
10.0%
c 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 974
99.8%
. 1
 
0.1%
! 1
 
0.1%
Space Separator
ValueCountFrequency (%)
4742
100.0%
Close Punctuation
ValueCountFrequency (%)
) 811
100.0%
Open Punctuation
ValueCountFrequency (%)
( 811
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 163
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15706
55.7%
Common 12384
43.9%
Latin 89
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1086
 
6.9%
구 1084
 
6.9%
광 1015
 
6.5%
진 846
 
5.4%
시 824
 
5.2%
로 816
 
5.2%
서 813
 
5.2%
울 808
 
5.1%
특 808
 
5.1%
별 808
 
5.1%
Other values (247) 6798
43.3%
Latin
ValueCountFrequency (%)
B 26
29.2%
C 12
13.5%
A 10
 
11.2%
D 7
 
7.9%
S 5
 
5.6%
b 3
 
3.4%
E 3
 
3.4%
H 2
 
2.2%
Y 2
 
2.2%
Z 2
 
2.2%
Other values (14) 17
19.1%
Common
ValueCountFrequency (%)
4742
38.3%
1 1201
 
9.7%
, 974
 
7.9%
) 811
 
6.5%
( 811
 
6.5%
2 653
 
5.3%
3 540
 
4.4%
5 493
 
4.0%
0 465
 
3.8%
4 422
 
3.4%
Other values (8) 1272
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15706
55.7%
ASCII 12473
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4742
38.0%
1 1201
 
9.6%
, 974
 
7.8%
) 811
 
6.5%
( 811
 
6.5%
2 653
 
5.2%
3 540
 
4.3%
5 493
 
4.0%
0 465
 
3.7%
4 422
 
3.4%
Other values (32) 1361
 
10.9%
Hangul
ValueCountFrequency (%)
동 1086
 
6.9%
구 1084
 
6.9%
광 1015
 
6.5%
진 846
 
5.4%
시 824
 
5.2%
로 816
 
5.2%
서 813
 
5.2%
울 808
 
5.1%
특 808
 
5.1%
별 808
 
5.1%
Other values (247) 6798
43.3%

영업소 전화번호
Text

MISSING 

Distinct226
Distinct (%)97.4%
Missing576
Missing (%)71.3%
Memory size6.4 KiB
2024-03-15T00:03:06.510985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length11
Mean length11.586207
Min length11

Characters and Unicode

Total characters2688
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique220 ?
Unique (%)94.8%

Sample

1st row02-6235-0378
2nd row070-4220-6648
3rd row070-4214-5252
4th row02-2245-5255
5th row02-461-2775
ValueCountFrequency (%)
02-437-3331 2
 
0.9%
02-458-3734 2
 
0.9%
070-8959-8259 2
 
0.9%
02-6449-8214 2
 
0.9%
02-447-3136 2
 
0.9%
02-483-7040 2
 
0.9%
02-468-0914 1
 
0.4%
070-8776-5154 1
 
0.4%
02-468-5002(02-9991-2142 1
 
0.4%
02-456-8986 1
 
0.4%
Other values (216) 216
93.1%
2024-03-15T00:03:07.498145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 468
17.4%
0 426
15.8%
2 369
13.7%
4 309
11.5%
5 191
7.1%
6 173
 
6.4%
7 166
 
6.2%
3 163
 
6.1%
1 157
 
5.8%
8 136
 
5.1%
Other values (3) 130
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2216
82.4%
Dash Punctuation 468
 
17.4%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 426
19.2%
2 369
16.7%
4 309
13.9%
5 191
8.6%
6 173
7.8%
7 166
 
7.5%
3 163
 
7.4%
1 157
 
7.1%
8 136
 
6.1%
9 126
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 468
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2688
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 468
17.4%
0 426
15.8%
2 369
13.7%
4 309
11.5%
5 191
7.1%
6 173
 
6.4%
7 166
 
6.2%
3 163
 
6.1%
1 157
 
5.8%
8 136
 
5.1%
Other values (3) 130
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2688
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 468
17.4%
0 426
15.8%
2 369
13.7%
4 309
11.5%
5 191
7.1%
6 173
 
6.4%
7 166
 
6.2%
3 163
 
6.1%
1 157
 
5.8%
8 136
 
5.1%
Other values (3) 130
 
4.8%

Interactions

2024-03-15T00:02:58.866510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-15T00:02:59.229897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T00:02:59.512201image/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)영업소 전화번호
01신라메디칼서울특별시 광진구 광나루로56길 85, 테크노-마트21 23층 11호 (구의동)<NA>
12끌랩서울특별시 광진구 능동로 69, 1층 119호 (자양동, 자양 호반써밋)<NA>
23나이스메디텍서울특별시 광진구 군자로2길 4, 1층 (화양동)<NA>
34주식회사 엠로직스서울특별시 광진구 광나루로56길 63, 프라임프라자 b1층 113-18호 (구의동)<NA>
45(주)아성다이소 엔터식스강변점서울특별시 광진구 광나루로56길 85, 테크노-마트21 1층 B-52~57,62~70,72~97, C-1호 (구의동)<NA>
56주식회사 에이치에스앤엠서울특별시 광진구 능동로43길 3-5, 2층 (중곡동)02-6235-0378
67씨유 화양원룸촌점서울특별시 광진구 군자로6길 24, b1층 (화양동)<NA>
78(주)코리아세븐 구의하늘점서울특별시 광진구 자양로38길 25, 1층 (구의동)<NA>
89이서 컴퍼니서울특별시 광진구 군자로 184, 501호 (군자동)<NA>
910메그서울특별시 광진구 군자로 156, 지하1층 18호 (군자동)<NA>
순번영업소명영업소소재지(도로명)영업소 전화번호
798799비엔텍서울특별시 광진구 뚝섬로36길 63, 지하1층 (자양동)02-3437-3800
799800재송실업서울특별시 광진구 능동로3길 45, 104호 (자양동, 극동아파트상가)02-467-0534
800801(주)지인씨앤티서울특별시 광진구 강변역로4길 68, 409,410,411호 (구의동, 리젠트오피스텔)02-453-1226
801802소망양행서울특별시 광진구 아차산로51길 83, 지층 (구의동)02-444-9713
802803세일화학상사서울특별시 광진구 천호대로136길 7 (구의동)02-452-3597
803804유진메디칼서울특별시 광진구 능동로 320, 3층 (중곡동)02-3437-3947
804805동방양행서울특별시 광진구 구의강변로 11, 115호 (자양동)02-458-3331
805806능동콘택트렌즈서울특별시 광진구 천호대로 548, 3층 (군자동, 중앙빌딩)02-467-0659
806807일진콘택트렌즈서울특별시 광진구 뚝섬로 498, 2층 (자양동)02-462-6514
807808정의료기상사서울특별시 광진구 자양번영로3길 11, 1층 101호 (자양동)02-446-7629