Overview

Dataset statistics

Number of variables5
Number of observations76
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory44.7 B

Variable types

Numeric3
Text2

Dataset

Description인천광역시 연수구에 소재하는 동물약국 현황의 데이터로써 사업장명칭, 사업장소재지(도로명) 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15055930/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:37:43.339741
Analysis finished2023-12-12 20:37:45.155128
Duration1.82 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.5
Minimum1
Maximum76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-13T05:37:45.250280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.75
Q119.75
median38.5
Q357.25
95-th percentile72.25
Maximum76
Range75
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation22.083176
Coefficient of variation (CV)0.57358899
Kurtosis-1.2
Mean38.5
Median Absolute Deviation (MAD)19
Skewness0
Sum2926
Variance487.66667
MonotonicityStrictly increasing
2023-12-13T05:37:45.413288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.3%
50 1
 
1.3%
57 1
 
1.3%
56 1
 
1.3%
55 1
 
1.3%
54 1
 
1.3%
53 1
 
1.3%
52 1
 
1.3%
51 1
 
1.3%
49 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
1 1
1.3%
2 1
1.3%
3 1
1.3%
4 1
1.3%
5 1
1.3%
6 1
1.3%
7 1
1.3%
8 1
1.3%
9 1
1.3%
10 1
1.3%
ValueCountFrequency (%)
76 1
1.3%
75 1
1.3%
74 1
1.3%
73 1
1.3%
72 1
1.3%
71 1
1.3%
70 1
1.3%
69 1
1.3%
68 1
1.3%
67 1
1.3%

사업장명칭
Text

Distinct74
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-13T05:37:45.741295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length5.7236842
Min length3

Characters and Unicode

Total characters435
Distinct characters128
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)94.7%

Sample

1st row즐거운약국
2nd row둥지약국
3rd row연수건강옵티마약국
4th row강봉윤약국
5th row송도건강온누리약국
ValueCountFrequency (%)
플러스약국 2
 
2.5%
수약국 2
 
2.5%
송도센트럴약국 2
 
2.5%
건강백세 1
 
1.2%
뉴송도약국 1
 
1.2%
송도가로수약국 1
 
1.2%
동물약국 1
 
1.2%
우리들약국 1
 
1.2%
센타약국 1
 
1.2%
송도반려동물약국 1
 
1.2%
Other values (67) 67
83.8%
2023-12-13T05:37:46.306085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 76
 
17.5%
국 76
 
17.5%
송 19
 
4.4%
도 19
 
4.4%
스 11
 
2.5%
리 9
 
2.1%
온 8
 
1.8%
누 7
 
1.6%
수 7
 
1.6%
이 6
 
1.4%
Other values (118) 197
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 422
97.0%
Decimal Number 7
 
1.6%
Space Separator 4
 
0.9%
Uppercase Letter 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 76
18.0%
국 76
18.0%
송 19
 
4.5%
도 19
 
4.5%
스 11
 
2.6%
리 9
 
2.1%
온 8
 
1.9%
누 7
 
1.7%
수 7
 
1.7%
이 6
 
1.4%
Other values (111) 184
43.6%
Decimal Number
ValueCountFrequency (%)
6 2
28.6%
5 2
28.6%
3 2
28.6%
1 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
B 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 422
97.0%
Common 11
 
2.5%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 76
18.0%
국 76
18.0%
송 19
 
4.5%
도 19
 
4.5%
스 11
 
2.6%
리 9
 
2.1%
온 8
 
1.9%
누 7
 
1.7%
수 7
 
1.7%
이 6
 
1.4%
Other values (111) 184
43.6%
Common
ValueCountFrequency (%)
4
36.4%
6 2
18.2%
5 2
18.2%
3 2
18.2%
1 1
 
9.1%
Latin
ValueCountFrequency (%)
S 1
50.0%
B 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 422
97.0%
ASCII 13
 
3.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 76
18.0%
국 76
18.0%
송 19
 
4.5%
도 19
 
4.5%
스 11
 
2.6%
리 9
 
2.1%
온 8
 
1.9%
누 7
 
1.7%
수 7
 
1.7%
이 6
 
1.4%
Other values (111) 184
43.6%
ASCII
ValueCountFrequency (%)
4
30.8%
6 2
15.4%
5 2
15.4%
3 2
15.4%
S 1
 
7.7%
1 1
 
7.7%
B 1
 
7.7%

사업장소재지(도로명)
Text

Distinct75
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-13T05:37:46.708417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length47
Mean length39.894737
Min length22

Characters and Unicode

Total characters3032
Distinct characters207
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)97.4%

Sample

1st row인천광역시 연수구 벚꽃로 172 (연수동, 대동월드스포츠센터 201-1호)
2nd row인천광역시 연수구 용담로 42 (청학동)
3rd row인천광역시 연수구 청능대로 103, 1층 (연수동, BYC 빌딩)
4th row인천광역시 연수구 원인재로 315, 110호 (연수동, 주공1단지아파트상가)
5th row인천광역시 연수구 컨벤시아대로 69, 408호 (송도동)
ValueCountFrequency (%)
인천광역시 76
 
13.4%
연수구 76
 
13.4%
송도동 47
 
8.3%
연수동 12
 
2.1%
1층 10
 
1.8%
송도 8
 
1.4%
신송로 7
 
1.2%
동춘동 7
 
1.2%
103호 6
 
1.1%
해돋이로 6
 
1.1%
Other values (225) 311
54.9%
2023-12-13T05:37:47.269861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
491
 
16.2%
1 175
 
5.8%
, 110
 
3.6%
동 103
 
3.4%
연 89
 
2.9%
수 89
 
2.9%
시 88
 
2.9%
인 83
 
2.7%
천 80
 
2.6%
송 80
 
2.6%
Other values (197) 1644
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1740
57.4%
Decimal Number 494
 
16.3%
Space Separator 491
 
16.2%
Other Punctuation 111
 
3.7%
Open Punctuation 78
 
2.6%
Close Punctuation 78
 
2.6%
Uppercase Letter 30
 
1.0%
Dash Punctuation 9
 
0.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 103
 
5.9%
연 89
 
5.1%
수 89
 
5.1%
시 88
 
5.1%
인 83
 
4.8%
천 80
 
4.6%
송 80
 
4.6%
로 80
 
4.6%
구 76
 
4.4%
역 76
 
4.4%
Other values (164) 896
51.5%
Uppercase Letter
ValueCountFrequency (%)
A 8
26.7%
X 2
 
6.7%
E 2
 
6.7%
Y 2
 
6.7%
T 2
 
6.7%
R 2
 
6.7%
C 2
 
6.7%
B 2
 
6.7%
W 1
 
3.3%
D 1
 
3.3%
Other values (6) 6
20.0%
Decimal Number
ValueCountFrequency (%)
1 175
35.4%
2 63
 
12.8%
0 57
 
11.5%
3 39
 
7.9%
4 36
 
7.3%
6 36
 
7.3%
5 31
 
6.3%
7 27
 
5.5%
8 23
 
4.7%
9 7
 
1.4%
Other Punctuation
ValueCountFrequency (%)
, 110
99.1%
& 1
 
0.9%
Space Separator
ValueCountFrequency (%)
491
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1740
57.4%
Common 1262
41.6%
Latin 30
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 103
 
5.9%
연 89
 
5.1%
수 89
 
5.1%
시 88
 
5.1%
인 83
 
4.8%
천 80
 
4.6%
송 80
 
4.6%
로 80
 
4.6%
구 76
 
4.4%
역 76
 
4.4%
Other values (164) 896
51.5%
Common
ValueCountFrequency (%)
491
38.9%
1 175
 
13.9%
, 110
 
8.7%
( 78
 
6.2%
) 78
 
6.2%
2 63
 
5.0%
0 57
 
4.5%
3 39
 
3.1%
4 36
 
2.9%
6 36
 
2.9%
Other values (7) 99
 
7.8%
Latin
ValueCountFrequency (%)
A 8
26.7%
X 2
 
6.7%
E 2
 
6.7%
Y 2
 
6.7%
T 2
 
6.7%
R 2
 
6.7%
C 2
 
6.7%
B 2
 
6.7%
W 1
 
3.3%
D 1
 
3.3%
Other values (6) 6
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1740
57.4%
ASCII 1292
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
491
38.0%
1 175
 
13.5%
, 110
 
8.5%
( 78
 
6.0%
) 78
 
6.0%
2 63
 
4.9%
0 57
 
4.4%
3 39
 
3.0%
4 36
 
2.8%
6 36
 
2.8%
Other values (23) 129
 
10.0%
Hangul
ValueCountFrequency (%)
동 103
 
5.9%
연 89
 
5.1%
수 89
 
5.1%
시 88
 
5.1%
인 83
 
4.8%
천 80
 
4.6%
송 80
 
4.6%
로 80
 
4.6%
구 76
 
4.4%
역 76
 
4.4%
Other values (164) 896
51.5%

위도
Real number (ℝ)

Distinct67
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean491909.23
Minimum37.366641
Maximum37382296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-13T05:37:47.760023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.366641
5-th percentile37.377268
Q137.392259
median37.400409
Q337.414599
95-th percentile37.424562
Maximum37382296
Range37382259
Interquartile range (IQR)0.022340128

Descriptive statistics

Standard deviation4288039.1
Coefficient of variation (CV)8.717135
Kurtosis76
Mean491909.23
Median Absolute Deviation (MAD)0.01307671
Skewness8.7177979
Sum37385101
Variance1.838728 × 1013
MonotonicityNot monotonic
2023-12-13T05:37:47.956166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.4151351 3
 
3.9%
37.37421922 2
 
2.6%
37.40599816 2
 
2.6%
37.42132237 2
 
2.6%
37.3974223 2
 
2.6%
37.41341058 2
 
2.6%
37.38923632 2
 
2.6%
37.39843968 2
 
2.6%
37.397772 1
 
1.3%
37.395116 1
 
1.3%
Other values (57) 57
75.0%
ValueCountFrequency (%)
37.36664055 1
1.3%
37.36838174 1
1.3%
37.37421922 2
2.6%
37.378284 1
1.3%
37.3791728 1
1.3%
37.38022552 1
1.3%
37.38094106 1
1.3%
37.383076 1
1.3%
37.384051 1
1.3%
37.384054 1
1.3%
ValueCountFrequency (%)
37382296.0 1
1.3%
37.42869391 1
1.3%
37.42542004 1
1.3%
37.42466676 1
1.3%
37.42452673 1
1.3%
37.42451326 1
1.3%
37.42442394 1
1.3%
37.42394384 1
1.3%
37.42357131 1
1.3%
37.42224941 1
1.3%

경도
Real number (ℝ)

Distinct67
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.65622
Minimum126.61502
Maximum126.69683
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-13T05:37:48.126925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.61502
5-th percentile126.62455
Q1126.64425
median126.64939
Q3126.67498
95-th percentile126.69088
Maximum126.69683
Range0.0818039
Interquartile range (IQR)0.030730425

Descriptive statistics

Standard deviation0.020088527
Coefficient of variation (CV)0.00015860671
Kurtosis-0.6533565
Mean126.65622
Median Absolute Deviation (MAD)0.01274425
Skewness0.21948766
Sum9625.8727
Variance0.0004035489
MonotonicityNot monotonic
2023-12-13T05:37:48.333857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6184226 3
 
3.9%
126.6499786 2
 
2.6%
126.6836221 2
 
2.6%
126.6908761 2
 
2.6%
126.6366413 2
 
2.6%
126.676506 2
 
2.6%
126.6651276 2
 
2.6%
126.6484571 2
 
2.6%
126.648408 1
 
1.3%
126.645541 1
 
1.3%
Other values (57) 57
75.0%
ValueCountFrequency (%)
126.6150246 1
 
1.3%
126.6184226 3
3.9%
126.626588 1
 
1.3%
126.629148 1
 
1.3%
126.6332893 1
 
1.3%
126.634241 1
 
1.3%
126.6349147 1
 
1.3%
126.6366413 2
2.6%
126.640151 1
 
1.3%
126.640864 1
 
1.3%
ValueCountFrequency (%)
126.6968285 1
1.3%
126.6966752 1
1.3%
126.6964916 1
1.3%
126.6908761 2
2.6%
126.6870634 1
1.3%
126.6836221 2
2.6%
126.6830188 1
1.3%
126.6811196 1
1.3%
126.6792869 1
1.3%
126.6773745 1
1.3%

Interactions

2023-12-13T05:37:44.536238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:37:43.759310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:37:44.131921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:37:44.657869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:37:43.888552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:37:44.256456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:37:44.791474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:37:44.021839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:37:44.405945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:37:48.472619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번사업장명칭사업장소재지(도로명)위도경도
순번1.0001.0001.0000.0000.642
사업장명칭1.0001.0001.0001.0001.000
사업장소재지(도로명)1.0001.0001.0001.0001.000
위도0.0001.0001.0001.0000.000
경도0.6421.0001.0000.0001.000
2023-12-13T05:37:48.608918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번위도경도
순번1.000-0.255-0.396
위도-0.2551.0000.305
경도-0.3960.3051.000

Missing values

2023-12-13T05:37:44.967505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:37:45.099772image/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

순번사업장명칭사업장소재지(도로명)위도경도
01즐거운약국인천광역시 연수구 벚꽃로 172 (연수동, 대동월드스포츠센터 201-1호)37.41442126.683019
12둥지약국인천광역시 연수구 용담로 42 (청학동)37.419787126.672207
23연수건강옵티마약국인천광역시 연수구 청능대로 103, 1층 (연수동, BYC 빌딩)37.413646126.676262
34강봉윤약국인천광역시 연수구 원인재로 315, 110호 (연수동, 주공1단지아파트상가)37.421322126.690876
45송도건강온누리약국인천광역시 연수구 컨벤시아대로 69, 408호 (송도동)37.395715126.650956
56한솔프라자약국인천광역시 연수구 독배로 41 (옥련동)37.424424126.644352
67헬스원약국인천광역시 연수구 센트럴로 160, 140,141호 (송도동, 송도센트럴파크푸르지오)37.393196126.643145
78건강나라약국인천광역시 연수구 독배로40번길 11, 108호 (옥련동, 효명프라자 )37.424527126.645636
89동의당약국인천광역시 연수구 한진로 23, 1층 (옥련동, 로얄프라자 )37.424667126.647841
910동인천약국인천광역시 연수구 학나래로45번길 3, 104호 (선학동, 뉴서울아파트상가)37.42542126.696492
순번사업장명칭사업장소재지(도로명)위도경도
6667스퀘어365약국인천광역시 연수구 청능대로 210, 스퀘어원 3층 (동춘동)37.405998126.683622
6768맑은샘온누리약국인천광역시 연수구 하모니로177번길 49, 형지글로벌 패션복합센터 202호 (송도동)37.378284126.644449
6869송도온누리약국인천광역시 연수구 컨벤시아대로230번길 54, A136, A137호 (송도동)37.388754126.634241
6970호랑이약국인천광역시 연수구 인천타워대로 257, 아트포레 에이동 123호 (송도동)37.393782126.633289
7071새로이약국인천광역시 연수구 인천타워대로132번길 34, 103호 (송도동)37.386364126.643945
7172송도이레약국인천광역시 연수구 해돋이로172번길 42, 103호 (송도동)37.397991126.648033
7273송도이음약국인천광역시 연수구 아트센터대로 87, 커낼워크D4 WINTER 402동 152호 (송도동)37.402378126.640151
7374S메디칼약국인천광역시 연수구 하모니로178번길 6, 121,122,123호 (송도동)37382296.0126.641412
7475뉴송도약국인천광역시 연수구 해돋이로 102, 103호 (송도동)37.39141126.651063
7576셀메드 수약국인천광역시 연수구 센트럴로 232, 172호 (송도동, 더샵센트럴파크1)37.397422126.636641