Overview

Dataset statistics

Number of variables5
Number of observations436
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.4 KiB
Average record size in memory43.3 B

Variable types

Numeric3
Text2

Dataset

Description인천광역시 미추홀구에 소재하고 있는 편의점 등 안전상비의약품으로 지정된 의약품을 판매하는 업소정보 현황입니다. 데이터 상세 내용은 판매점포명, 도로명주소, 위도,경도 등입니다.
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15071325/fileData.do

Alerts

연번 has unique valuesUnique
판매점포명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:39:20.176430
Analysis finished2024-04-29 22:39:22.638475
Duration2.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct436
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean218.5
Minimum1
Maximum436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-30T07:39:22.710904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile22.75
Q1109.75
median218.5
Q3327.25
95-th percentile414.25
Maximum436
Range435
Interquartile range (IQR)217.5

Descriptive statistics

Standard deviation126.00661
Coefficient of variation (CV)0.57668931
Kurtosis-1.2
Mean218.5
Median Absolute Deviation (MAD)109
Skewness0
Sum95266
Variance15877.667
MonotonicityStrictly increasing
2024-04-30T07:39:22.831807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
289 1
 
0.2%
300 1
 
0.2%
299 1
 
0.2%
298 1
 
0.2%
297 1
 
0.2%
296 1
 
0.2%
295 1
 
0.2%
294 1
 
0.2%
293 1
 
0.2%
Other values (426) 426
97.7%
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 (%)
436 1
0.2%
435 1
0.2%
434 1
0.2%
433 1
0.2%
432 1
0.2%
431 1
0.2%
430 1
0.2%
429 1
0.2%
428 1
0.2%
427 1
0.2%

판매점포명
Text

UNIQUE 

Distinct436
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-04-30T07:39:23.087619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length10.651376
Min length3

Characters and Unicode

Total characters4644
Distinct characters251
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

Unique436 ?
Unique (%)100.0%

Sample

1st row씨유 주안홈타운점
2nd row씨유 e편한세상제물포역점
3rd row지에스25 도화IC점
4th row이마트24 숭의제일점
5th row지에스25 용현자이점
ValueCountFrequency (%)
씨유 84
 
11.1%
지에스25 58
 
7.7%
세븐일레븐 45
 
6.0%
gs25 35
 
4.6%
주)코리아세븐 34
 
4.5%
이마트24 19
 
2.5%
지에스(gs)25 9
 
1.2%
cu 6
 
0.8%
씨유(cu 5
 
0.7%
주안석바위점 3
 
0.4%
Other values (425) 457
60.5%
2024-04-30T07:39:23.490276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 386
 
8.3%
319
 
6.9%
주 193
 
4.2%
2 186
 
4.0%
안 155
 
3.3%
븐 154
 
3.3%
5 149
 
3.2%
씨 141
 
3.0%
스 141
 
3.0%
유 139
 
3.0%
Other values (241) 2681
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3600
77.5%
Decimal Number 390
 
8.4%
Space Separator 319
 
6.9%
Uppercase Letter 187
 
4.0%
Close Punctuation 73
 
1.6%
Open Punctuation 73
 
1.6%
Lowercase Letter 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 386
 
10.7%
주 193
 
5.4%
안 155
 
4.3%
븐 154
 
4.3%
씨 141
 
3.9%
스 141
 
3.9%
유 139
 
3.9%
지 106
 
2.9%
에 102
 
2.8%
세 99
 
2.8%
Other values (219) 1984
55.1%
Uppercase Letter
ValueCountFrequency (%)
S 65
34.8%
G 64
34.2%
C 22
 
11.8%
U 21
 
11.2%
R 9
 
4.8%
K 3
 
1.6%
M 1
 
0.5%
P 1
 
0.5%
I 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 186
47.7%
5 149
38.2%
4 33
 
8.5%
1 11
 
2.8%
6 7
 
1.8%
3 2
 
0.5%
7 1
 
0.3%
8 1
 
0.3%
Space Separator
ValueCountFrequency (%)
319
100.0%
Close Punctuation
ValueCountFrequency (%)
) 73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 73
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3600
77.5%
Common 856
 
18.4%
Latin 188
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 386
 
10.7%
주 193
 
5.4%
안 155
 
4.3%
븐 154
 
4.3%
씨 141
 
3.9%
스 141
 
3.9%
유 139
 
3.9%
지 106
 
2.9%
에 102
 
2.8%
세 99
 
2.8%
Other values (219) 1984
55.1%
Common
ValueCountFrequency (%)
319
37.3%
2 186
21.7%
5 149
17.4%
) 73
 
8.5%
( 73
 
8.5%
4 33
 
3.9%
1 11
 
1.3%
6 7
 
0.8%
3 2
 
0.2%
- 1
 
0.1%
Other values (2) 2
 
0.2%
Latin
ValueCountFrequency (%)
S 65
34.6%
G 64
34.0%
C 22
 
11.7%
U 21
 
11.2%
R 9
 
4.8%
K 3
 
1.6%
e 1
 
0.5%
M 1
 
0.5%
P 1
 
0.5%
I 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3600
77.5%
ASCII 1044
 
22.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 386
 
10.7%
주 193
 
5.4%
안 155
 
4.3%
븐 154
 
4.3%
씨 141
 
3.9%
스 141
 
3.9%
유 139
 
3.9%
지 106
 
2.9%
에 102
 
2.8%
세 99
 
2.8%
Other values (219) 1984
55.1%
ASCII
ValueCountFrequency (%)
319
30.6%
2 186
17.8%
5 149
14.3%
) 73
 
7.0%
( 73
 
7.0%
S 65
 
6.2%
G 64
 
6.1%
4 33
 
3.2%
C 22
 
2.1%
U 21
 
2.0%
Other values (12) 39
 
3.7%

도로명주소
Text

UNIQUE 

Distinct436
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2024-04-30T07:39:23.739726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length55
Mean length34.25
Min length22

Characters and Unicode

Total characters14933
Distinct characters248
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

Unique436 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 석정로351번길 12, 105동 110호 (주안동, 현대홈타운아파트)
2nd row인천광역시 미추홀구 수봉로 53, 1층 (숭의동)
3rd row인천광역시 미추홀구 경인로268번길 4, 101호 (도화동, 해든빌)
4th row인천광역시 미추홀구 독정안길97번길 17, 1층 (숭의동)
5th row인천광역시 미추홀구 낙섬동로 134, 상가동 B109,110호 (용현동, 용현자이크레스트)
ValueCountFrequency (%)
인천광역시 436
 
15.3%
미추홀구 436
 
15.3%
1층 231
 
8.1%
주안동 175
 
6.1%
용현동 96
 
3.4%
숭의동 52
 
1.8%
도화동 50
 
1.8%
101호 34
 
1.2%
학익동 31
 
1.1%
102호 28
 
1.0%
Other values (667) 1280
44.9%
2024-04-30T07:39:24.148218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2414
 
16.2%
1 828
 
5.5%
인 552
 
3.7%
동 502
 
3.4%
홀 477
 
3.2%
미 466
 
3.1%
추 465
 
3.1%
천 453
 
3.0%
시 446
 
3.0%
, 445
 
3.0%
Other values (238) 7885
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8618
57.7%
Decimal Number 2467
 
16.5%
Space Separator 2414
 
16.2%
Other Punctuation 445
 
3.0%
Open Punctuation 437
 
2.9%
Close Punctuation 437
 
2.9%
Dash Punctuation 54
 
0.4%
Uppercase Letter 42
 
0.3%
Lowercase Letter 13
 
0.1%
Math Symbol 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 552
 
6.4%
동 502
 
5.8%
홀 477
 
5.5%
미 466
 
5.4%
추 465
 
5.4%
천 453
 
5.3%
시 446
 
5.2%
역 440
 
5.1%
구 438
 
5.1%
광 437
 
5.1%
Other values (209) 3942
45.7%
Decimal Number
ValueCountFrequency (%)
1 828
33.6%
2 294
 
11.9%
0 270
 
10.9%
3 247
 
10.0%
4 197
 
8.0%
5 162
 
6.6%
8 127
 
5.1%
6 123
 
5.0%
7 115
 
4.7%
9 104
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
S 8
19.0%
B 7
16.7%
A 5
11.9%
K 5
11.9%
E 4
9.5%
V 4
9.5%
W 4
9.5%
I 4
9.5%
C 1
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
e 5
38.5%
k 4
30.8%
y 4
30.8%
Space Separator
ValueCountFrequency (%)
2414
100.0%
Other Punctuation
ValueCountFrequency (%)
, 445
100.0%
Open Punctuation
ValueCountFrequency (%)
( 437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 437
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 54
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8619
57.7%
Common 6259
41.9%
Latin 55
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 552
 
6.4%
동 502
 
5.8%
홀 477
 
5.5%
미 466
 
5.4%
추 465
 
5.4%
천 453
 
5.3%
시 446
 
5.2%
역 440
 
5.1%
구 438
 
5.1%
광 437
 
5.1%
Other values (210) 3943
45.7%
Common
ValueCountFrequency (%)
2414
38.6%
1 828
 
13.2%
, 445
 
7.1%
( 437
 
7.0%
) 437
 
7.0%
2 294
 
4.7%
0 270
 
4.3%
3 247
 
3.9%
4 197
 
3.1%
5 162
 
2.6%
Other values (6) 528
 
8.4%
Latin
ValueCountFrequency (%)
S 8
14.5%
B 7
12.7%
A 5
9.1%
e 5
9.1%
K 5
9.1%
E 4
7.3%
V 4
7.3%
W 4
7.3%
k 4
7.3%
I 4
7.3%
Other values (2) 5
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8618
57.7%
ASCII 6314
42.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2414
38.2%
1 828
 
13.1%
, 445
 
7.0%
( 437
 
6.9%
) 437
 
6.9%
2 294
 
4.7%
0 270
 
4.3%
3 247
 
3.9%
4 197
 
3.1%
5 162
 
2.6%
Other values (18) 583
 
9.2%
Hangul
ValueCountFrequency (%)
인 552
 
6.4%
동 502
 
5.8%
홀 477
 
5.5%
미 466
 
5.4%
추 465
 
5.4%
천 453
 
5.3%
시 446
 
5.2%
역 440
 
5.1%
구 438
 
5.1%
광 437
 
5.1%
Other values (209) 3942
45.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

위도
Real number (ℝ)

Distinct416
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.456562
Minimum37.434672
Maximum37.477976
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-30T07:39:24.318543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.434672
5-th percentile37.439232
Q137.450241
median37.458026
Q337.463208
95-th percentile37.469488
Maximum37.477976
Range0.043304121
Interquartile range (IQR)0.012966884

Descriptive statistics

Standard deviation0.0091340333
Coefficient of variation (CV)0.0002438567
Kurtosis-0.50132622
Mean37.456562
Median Absolute Deviation (MAD)0.0062336508
Skewness-0.27646365
Sum16331.061
Variance8.3430565 × 10-5
MonotonicityNot monotonic
2024-04-30T07:39:24.456386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4520149469249 4
 
0.9%
37.4676423328736 3
 
0.7%
37.458260080064 3
 
0.7%
37.4475677458871 2
 
0.5%
37.4613215269874 2
 
0.5%
37.4652323675815 2
 
0.5%
37.4580182017435 2
 
0.5%
37.4608523035082 2
 
0.5%
37.4769856280292 2
 
0.5%
37.4681698255161 2
 
0.5%
Other values (406) 412
94.5%
ValueCountFrequency (%)
37.4346717081287 1
0.2%
37.4357829248155 1
0.2%
37.4363921865544 1
0.2%
37.4365431160038 1
0.2%
37.4366386169363 1
0.2%
37.437291221787 1
0.2%
37.437589326499 1
0.2%
37.4376025801152 1
0.2%
37.437626650409 1
0.2%
37.4379659505949 1
0.2%
ValueCountFrequency (%)
37.4779758291274 1
0.2%
37.4772146929007 1
0.2%
37.4772070014378 1
0.2%
37.4769856280292 2
0.5%
37.4761616196721 1
0.2%
37.474729390613 1
0.2%
37.4744015151486 1
0.2%
37.4740306977122 1
0.2%
37.4740130434157 1
0.2%
37.4730946944473 1
0.2%

경도
Real number (ℝ)

Distinct416
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66746
Minimum126.6311
Maximum126.6985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.0 KiB
2024-04-30T07:39:24.648623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.6311
5-th percentile126.6376
Q1126.65458
median126.67027
Q3126.68138
95-th percentile126.69151
Maximum126.6985
Range0.067406878
Interquartile range (IQR)0.026796934

Descriptive statistics

Standard deviation0.017108106
Coefficient of variation (CV)0.00013506315
Kurtosis-0.97412328
Mean126.66746
Median Absolute Deviation (MAD)0.012698699
Skewness-0.35068202
Sum55227.011
Variance0.00029268727
MonotonicityNot monotonic
2024-04-30T07:39:24.830997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.64506286268 4
 
0.9%
126.643011577667 3
 
0.7%
126.642662172692 3
 
0.7%
126.648590803229 2
 
0.5%
126.689916875687 2
 
0.5%
126.667519671071 2
 
0.5%
126.681163207516 2
 
0.5%
126.677899409354 2
 
0.5%
126.659136628004 2
 
0.5%
126.674475197689 2
 
0.5%
Other values (406) 412
94.5%
ValueCountFrequency (%)
126.631097954471 1
0.2%
126.632256901271 1
0.2%
126.632915005972 1
0.2%
126.633278038555 1
0.2%
126.633400455612 1
0.2%
126.633763228255 1
0.2%
126.633778736301 1
0.2%
126.634408016608 1
0.2%
126.634745680281 1
0.2%
126.634749842444 1
0.2%
ValueCountFrequency (%)
126.698504832398 1
0.2%
126.698306046015 1
0.2%
126.698259313967 1
0.2%
126.695356117909 1
0.2%
126.694878381346 1
0.2%
126.69461360694 1
0.2%
126.694604586949 1
0.2%
126.69440876449 1
0.2%
126.694401362351 1
0.2%
126.694144559918 1
0.2%

Interactions

2024-04-30T07:39:22.205617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:21.631416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:21.950464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:22.292691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:21.760060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:22.023320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:22.389774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:21.850706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:39:22.109157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:39:24.959949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.2520.305
위도0.2521.0000.581
경도0.3050.5811.000
2024-04-30T07:39:25.047175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.0100.047
위도0.0101.000-0.026
경도0.047-0.0261.000

Missing values

2024-04-30T07:39:22.509350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:39:22.594554image/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

연번판매점포명도로명주소위도경도
01씨유 주안홈타운점인천광역시 미추홀구 석정로351번길 12, 105동 110호 (주안동, 현대홈타운아파트)37.467896126.674722
12씨유 e편한세상제물포역점인천광역시 미추홀구 수봉로 53, 1층 (숭의동)37.461829126.658104
23지에스25 도화IC점인천광역시 미추홀구 경인로268번길 4, 101호 (도화동, 해든빌)37.462282126.670845
34이마트24 숭의제일점인천광역시 미추홀구 독정안길97번길 17, 1층 (숭의동)37.459939126.653721
45지에스25 용현자이점인천광역시 미추홀구 낙섬동로 134, 상가동 B109,110호 (용현동, 용현자이크레스트)37.456609126.646474
56씨유 도화하늘점인천광역시 미추홀구 숙골로87번길 5, 204동 1층 101,102호 (도화동, 더샵 인천스카이타워 2단지)37.469475126.663262
67지에스25 인하대후문인천광역시 미추홀구 인하로 51, 대원빌라 1층 (용현동)37.452027126.6542
78지에스25 인천스카이점인천광역시 미추홀구 독배로382번길 19, 1층 (용현동)37.453618126.649796
89씨유 더샵하늘점인천광역시 미추홀구 숙골로88번길 12, 110동 1층 101호 (도화동, 더샵 인천스카이타워 1단지)37.469531126.664593
910씨유 숭의장천점인천광역시 미추홀구 장천로6번길 33, 101호 102호 (숭의동)37.458155126.64741
연번판매점포명도로명주소위도경도
426427GS25 남구숭의인천광역시 미추홀구 독배로 438 (숭의동)37.458673126.64917
427428지에스25 주안인하로점인천광역시 미추홀구 인하로 332 (주안동)37.44784126.685038
428429GS25 주안인주로인천광역시 미추홀구 인주대로496번길 42 (주안동)37.449319126.69304
429430GS25 인천관교점인천광역시 미추홀구 주승로 224 (관교동)37.443061126.694145
430431세븐일레븐 인천현대점인천광역시 미추홀구 낙섬서로 51 (용현동)37.453939126.636199
431432GS25 주안1동점인천광역시 미추홀구 주안중로50번길 20, 1층 (주안동)37.462822126.683941
432433코리아세븐 1626호점인천광역시 미추홀구 매소홀로 578 (문학동)37.438257126.686228
433434씨유 인천용현점인천광역시 미추홀구 토금중로3번길 22 (용현동)37.455206126.635041
434435GS25 용현인하인천광역시 미추홀구 인하로134번길 3 (용현동)37.449338126.662864
435436세븐일레븐 주안점인천광역시 미추홀구 주안로 122 (주안동)37.463568126.683126