Overview

Dataset statistics

Number of variables5
Number of observations99
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory42.3 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description인천광역시 부평구 동물 약국 현황 데이터는 동물 약국 명, 영업소 주소, 영업소 전화번호에 대한 데이터를 제공합니다.
Author인천광역시 부평구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15103403&srcSe=7661IVAWM27C61E190

Alerts

업종명 has constant value ""Constant
전화번호 has 2 (2.0%) missing valuesMissing
연번 has unique valuesUnique
영업소 주소 has unique valuesUnique

Reproduction

Analysis started2024-01-28 05:21:55.672655
Analysis finished2024-01-28 05:21:56.429563
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50
Minimum1
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2024-01-28T14:21:56.516124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.9
Q125.5
median50
Q374.5
95-th percentile94.1
Maximum99
Range98
Interquartile range (IQR)49

Descriptive statistics

Standard deviation28.722813
Coefficient of variation (CV)0.57445626
Kurtosis-1.2
Mean50
Median Absolute Deviation (MAD)25
Skewness0
Sum4950
Variance825
MonotonicityStrictly increasing
2024-01-28T14:21:56.662308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
64 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
Other values (89) 89
89.9%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%

업종명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
동물약국
99 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물약국 99
100.0%

Length

2024-01-28T14:21:56.807145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T14:21:56.909982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 99
100.0%

업소명
Text

Distinct98
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-01-28T14:21:57.137365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length5.3636364
Min length3

Characters and Unicode

Total characters531
Distinct characters131
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)98.0%

Sample

1st row아름약국
2nd row부개약국
3rd row백제약국
4th row부평하나로약국
5th row동암프라자 약국
ValueCountFrequency (%)
부평동물약국 2
 
1.9%
약국 2
 
1.9%
솔미약국 1
 
1.0%
스마일약국 1
 
1.0%
부평온누리약국 1
 
1.0%
한나약국 1
 
1.0%
부평수약국 1
 
1.0%
부평종로약국 1
 
1.0%
동암온누리약국 1
 
1.0%
청호약국 1
 
1.0%
Other values (91) 91
88.3%
2024-01-28T14:21:57.650699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 99
18.6%
국 99
18.6%
부 23
 
4.3%
평 19
 
3.6%
동 16
 
3.0%
리 10
 
1.9%
한 9
 
1.7%
나 8
 
1.5%
물 7
 
1.3%
암 6
 
1.1%
Other values (121) 235
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 517
97.4%
Decimal Number 10
 
1.9%
Space Separator 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 99
19.1%
국 99
19.1%
부 23
 
4.4%
평 19
 
3.7%
동 16
 
3.1%
리 10
 
1.9%
한 9
 
1.7%
나 8
 
1.5%
물 7
 
1.4%
암 6
 
1.2%
Other values (116) 221
42.7%
Decimal Number
ValueCountFrequency (%)
3 3
30.0%
6 3
30.0%
5 3
30.0%
4 1
 
10.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 517
97.4%
Common 14
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 99
19.1%
국 99
19.1%
부 23
 
4.4%
평 19
 
3.7%
동 16
 
3.1%
리 10
 
1.9%
한 9
 
1.7%
나 8
 
1.5%
물 7
 
1.4%
암 6
 
1.2%
Other values (116) 221
42.7%
Common
ValueCountFrequency (%)
4
28.6%
3 3
21.4%
6 3
21.4%
5 3
21.4%
4 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 517
97.4%
ASCII 14
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 99
19.1%
국 99
19.1%
부 23
 
4.4%
평 19
 
3.7%
동 16
 
3.1%
리 10
 
1.9%
한 9
 
1.7%
나 8
 
1.5%
물 7
 
1.4%
암 6
 
1.2%
Other values (116) 221
42.7%
ASCII
ValueCountFrequency (%)
4
28.6%
3 3
21.4%
6 3
21.4%
5 3
21.4%
4 1
 
7.1%

영업소 주소
Text

UNIQUE 

Distinct99
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size924.0 B
2024-01-28T14:21:58.186080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length38
Mean length30.727273
Min length22

Characters and Unicode

Total characters3042
Distinct characters134
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)100.0%

Sample

1st row인천광역시 부평구 경인로1104번길 14-2 (부개동)
2nd row인천광역시 부평구 경인로 1076 (부개동)
3rd row인천광역시 부평구 부흥로365번길 3 (부평동)
4th row인천광역시 부평구 동수북로158번길 3 (부평동)
5th row인천광역시 부평구 열우물로 50 (십정동)
ValueCountFrequency (%)
인천광역시 99
 
16.2%
부평구 99
 
16.2%
부평동 43
 
7.0%
1층 31
 
5.1%
부개동 16
 
2.6%
산곡동 9
 
1.5%
101호 9
 
1.5%
경원대로 9
 
1.5%
십정동 9
 
1.5%
삼산동 9
 
1.5%
Other values (189) 280
45.7%
2024-01-28T14:21:58.733523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
514
 
16.9%
부 200
 
6.6%
평 171
 
5.6%
1 149
 
4.9%
동 112
 
3.7%
천 109
 
3.6%
인 107
 
3.5%
광 105
 
3.5%
역 103
 
3.4%
시 101
 
3.3%
Other values (124) 1371
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1773
58.3%
Space Separator 514
 
16.9%
Decimal Number 468
 
15.4%
Open Punctuation 99
 
3.3%
Close Punctuation 99
 
3.3%
Other Punctuation 78
 
2.6%
Dash Punctuation 7
 
0.2%
Math Symbol 3
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 200
 
11.3%
평 171
 
9.6%
동 112
 
6.3%
천 109
 
6.1%
인 107
 
6.0%
광 105
 
5.9%
역 103
 
5.8%
시 101
 
5.7%
구 101
 
5.7%
로 99
 
5.6%
Other values (106) 565
31.9%
Decimal Number
ValueCountFrequency (%)
1 149
31.8%
0 58
 
12.4%
4 51
 
10.9%
3 49
 
10.5%
2 45
 
9.6%
5 30
 
6.4%
6 27
 
5.8%
8 25
 
5.3%
7 19
 
4.1%
9 15
 
3.2%
Other Punctuation
ValueCountFrequency (%)
, 77
98.7%
· 1
 
1.3%
Space Separator
ValueCountFrequency (%)
514
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 99
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1773
58.3%
Common 1268
41.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 200
 
11.3%
평 171
 
9.6%
동 112
 
6.3%
천 109
 
6.1%
인 107
 
6.0%
광 105
 
5.9%
역 103
 
5.8%
시 101
 
5.7%
구 101
 
5.7%
로 99
 
5.6%
Other values (106) 565
31.9%
Common
ValueCountFrequency (%)
514
40.5%
1 149
 
11.8%
( 99
 
7.8%
) 99
 
7.8%
, 77
 
6.1%
0 58
 
4.6%
4 51
 
4.0%
3 49
 
3.9%
2 45
 
3.5%
5 30
 
2.4%
Other values (7) 97
 
7.6%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1773
58.3%
ASCII 1268
41.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
514
40.5%
1 149
 
11.8%
( 99
 
7.8%
) 99
 
7.8%
, 77
 
6.1%
0 58
 
4.6%
4 51
 
4.0%
3 49
 
3.9%
2 45
 
3.5%
5 30
 
2.4%
Other values (7) 97
 
7.6%
Hangul
ValueCountFrequency (%)
부 200
 
11.3%
평 171
 
9.6%
동 112
 
6.3%
천 109
 
6.1%
인 107
 
6.0%
광 105
 
5.9%
역 103
 
5.8%
시 101
 
5.7%
구 101
 
5.7%
로 99
 
5.6%
Other values (106) 565
31.9%
None
ValueCountFrequency (%)
· 1
100.0%

전화번호
Text

MISSING 

Distinct97
Distinct (%)100.0%
Missing2
Missing (%)2.0%
Memory size924.0 B
2024-01-28T14:21:58.980191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.030928
Min length12

Characters and Unicode

Total characters1167
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique97 ?
Unique (%)100.0%

Sample

1st row032-505-0891
2nd row032-529-8721
3rd row032-505-2682
4th row032-503-7342
5th row032-421-8642
ValueCountFrequency (%)
032-503-0668 1
 
1.0%
032-518-0045 1
 
1.0%
032-511-9772 1
 
1.0%
032-503-9443 1
 
1.0%
032-710-4770 1
 
1.0%
032-514-7038 1
 
1.0%
032-438-0607 1
 
1.0%
032-330-0123 1
 
1.0%
032-504-9978 1
 
1.0%
032-529-6185 1
 
1.0%
Other values (87) 87
89.7%
2024-01-28T14:21:59.340011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 194
16.6%
- 194
16.6%
2 169
14.5%
3 157
13.5%
5 132
11.3%
7 70
 
6.0%
1 66
 
5.7%
8 58
 
5.0%
4 47
 
4.0%
6 42
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 973
83.4%
Dash Punctuation 194
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 194
19.9%
2 169
17.4%
3 157
16.1%
5 132
13.6%
7 70
 
7.2%
1 66
 
6.8%
8 58
 
6.0%
4 47
 
4.8%
6 42
 
4.3%
9 38
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1167
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 194
16.6%
- 194
16.6%
2 169
14.5%
3 157
13.5%
5 132
11.3%
7 70
 
6.0%
1 66
 
5.7%
8 58
 
5.0%
4 47
 
4.0%
6 42
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1167
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 194
16.6%
- 194
16.6%
2 169
14.5%
3 157
13.5%
5 132
11.3%
7 70
 
6.0%
1 66
 
5.7%
8 58
 
5.0%
4 47
 
4.0%
6 42
 
3.6%

Interactions

2024-01-28T14:21:55.937825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T14:21:59.435982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명영업소 주소전화번호
연번1.0000.9411.0001.000
업소명0.9411.0001.0001.000
영업소 주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2024-01-28T14:21:56.033735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T14:21:56.396914image/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

연번업종명업소명영업소 주소전화번호
01동물약국아름약국인천광역시 부평구 경인로1104번길 14-2 (부개동)032-505-0891
12동물약국부개약국인천광역시 부평구 경인로 1076 (부개동)032-529-8721
23동물약국백제약국인천광역시 부평구 부흥로365번길 3 (부평동)032-505-2682
34동물약국부평하나로약국인천광역시 부평구 동수북로158번길 3 (부평동)032-503-7342
45동물약국동암프라자 약국인천광역시 부평구 열우물로 50 (십정동)032-421-8642
56동물약국성민약국인천광역시 부평구 주부토로 262 (갈산동)032-502-4518
67동물약국아이사랑동물약국인천광역시 부평구 동수천로 112 (부개동)032-529-4980
78동물약국테루파약국인천광역시 부평구 영성서로 37, 104호 (삼산동)032-522-6661
89동물약국청약국인천광역시 부평구 주부토로 182 (갈산동)032-501-9400
910동물약국하나로약국인천광역시 부평구 경원대로 1436 (부평동)032-528-4196
연번업종명업소명영업소 주소전화번호
8990동물약국부개동물약국인천광역시 부평구 부흥로 414, 모아빌딩 103-1호 (부개동)032-361-9989
9091동물약국365열린약국인천광역시 부평구 부일로 87, 송신빌딩 1층 (부개동)032-504-3650
9192동물약국부개바른약국인천광역시 부평구 경인로1104번길 18, 1층 (부개동)032-523-3370
9293동물약국다정한약국인천광역시 부평구 수변로 74, 1층 102호 (부개동, 삼성아파트)032-526-5047
9394동물약국부평건강약국인천광역시 부평구 주부토로 112, 삼진빌딩 1층 (부평동)032-505-1326
9495동물약국휴베이스 가정약국인천광역시 부평구 길주로494번길 25, 104호 (청천동)032-362-1017
9596동물약국부평중앙약국인천광역시 부평구 대정로 28, 104호 (부평동)032-330-9970
9697동물약국큰길약국인천광역시 부평구 부평대로 37-2, 1층 (부평동)032-505-2770
9798동물약국보리약국인천광역시 부평구 마장로 86, 105호 (십정동)032-528-5282
9899동물약국진선약국인천광역시 부평구 부평대로32번길 1, 1층 102호 (부평동)032-504-5557