Overview

Dataset statistics

Number of variables6
Number of observations129
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.6 KiB
Average record size in memory52.0 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구의 치과의원에 대한 데이터로 의료기관명, 도로명주소, 전화번호, 위도, 경도 등의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15119748/fileData.do

Alerts

연번 has unique valuesUnique
의료기관명 has unique valuesUnique
도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:28:35.608057
Analysis finished2023-12-12 10:28:36.946110
Duration1.34 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65
Minimum1
Maximum129
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T19:28:37.015530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.4
Q133
median65
Q397
95-th percentile122.6
Maximum129
Range128
Interquartile range (IQR)64

Descriptive statistics

Standard deviation37.383151
Coefficient of variation (CV)0.5751254
Kurtosis-1.2
Mean65
Median Absolute Deviation (MAD)32
Skewness0
Sum8385
Variance1397.5
MonotonicityStrictly increasing
2023-12-12T19:28:37.159921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
98 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (119) 119
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%

의료기관명
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T19:28:37.426623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.627907
Min length5

Characters and Unicode

Total characters984
Distinct characters177
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique129 ?
Unique (%)100.0%

Sample

1st rowSNC시카고치과의원
2nd row감동e플란트치과의원
3rd row강명건치과의원
4th row강준영치과의원
5th row건강한e치과의원
ValueCountFrequency (%)
snc시카고치과의원 1
 
0.8%
일미치과의원 1
 
0.8%
인천미치과의원 1
 
0.8%
이편한치과의원 1
 
0.8%
이지부부치과의원 1
 
0.8%
이즐거운치과의원 1
 
0.8%
이재현치과의원 1
 
0.8%
이인학치과의원 1
 
0.8%
이안치과의원 1
 
0.8%
이사랑치과의원 1
 
0.8%
Other values (120) 120
92.3%
2023-12-12T19:28:37.807568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 132
 
13.4%
과 131
 
13.3%
치 130
 
13.2%
의 128
 
13.0%
이 16
 
1.6%
세 14
 
1.4%
플 13
 
1.3%
서 13
 
1.3%
연 12
 
1.2%
울 12
 
1.2%
Other values (167) 383
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 968
98.4%
Uppercase Letter 5
 
0.5%
Lowercase Letter 5
 
0.5%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Decimal Number 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 132
 
13.6%
과 131
 
13.5%
치 130
 
13.4%
의 128
 
13.2%
이 16
 
1.7%
세 14
 
1.4%
플 13
 
1.3%
서 13
 
1.3%
연 12
 
1.2%
울 12
 
1.2%
Other values (156) 367
37.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
40.0%
J 1
20.0%
C 1
20.0%
N 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
40.0%
e 2
40.0%
n 1
20.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 968
98.4%
Latin 10
 
1.0%
Common 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 132
 
13.6%
과 131
 
13.5%
치 130
 
13.4%
의 128
 
13.2%
이 16
 
1.7%
세 14
 
1.4%
플 13
 
1.3%
서 13
 
1.3%
연 12
 
1.2%
울 12
 
1.2%
Other values (156) 367
37.9%
Latin
ValueCountFrequency (%)
S 2
20.0%
m 2
20.0%
e 2
20.0%
J 1
10.0%
n 1
10.0%
C 1
10.0%
N 1
10.0%
Common
ValueCountFrequency (%)
) 2
33.3%
( 2
33.3%
1 1
16.7%
1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 968
98.4%
ASCII 16
 
1.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 132
 
13.6%
과 131
 
13.5%
치 130
 
13.4%
의 128
 
13.2%
이 16
 
1.7%
세 14
 
1.4%
플 13
 
1.3%
서 13
 
1.3%
연 12
 
1.2%
울 12
 
1.2%
Other values (156) 367
37.9%
ASCII
ValueCountFrequency (%)
S 2
12.5%
m 2
12.5%
) 2
12.5%
( 2
12.5%
e 2
12.5%
J 1
6.2%
1 1
6.2%
n 1
6.2%
C 1
6.2%
1
6.2%

도로명주소
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T19:28:38.116175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length42
Mean length28.744186
Min length22

Characters and Unicode

Total characters3708
Distinct characters130
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

Unique129 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 독배로 311, 비젼프라자 3층 302호 (용현동)
2nd row인천광역시 미추홀구 석정로 391, 4층 (주안동)
3rd row인천광역시 미추홀구 석정로 37-1 (숭의동)
4th row인천광역시 미추홀구 토금중로 20 (용현동)
5th row인천광역시 미추홀구 경원대로 862 (주안동)
ValueCountFrequency (%)
인천광역시 129
17.5%
미추홀구 129
17.5%
주안동 63
 
8.5%
용현동 29
 
3.9%
2층 16
 
2.2%
경인로 15
 
2.0%
학익동 14
 
1.9%
경원대로 11
 
1.5%
인하로 11
 
1.5%
도화동 11
 
1.5%
Other values (212) 309
41.9%
2023-12-12T19:28:38.694842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
612
 
16.5%
인 164
 
4.4%
홀 150
 
4.0%
추 141
 
3.8%
미 141
 
3.8%
구 133
 
3.6%
동 131
 
3.5%
광 130
 
3.5%
시 129
 
3.5%
역 129
 
3.5%
Other values (120) 1848
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2243
60.5%
Space Separator 612
 
16.5%
Decimal Number 509
 
13.7%
Close Punctuation 129
 
3.5%
Open Punctuation 129
 
3.5%
Other Punctuation 67
 
1.8%
Dash Punctuation 11
 
0.3%
Uppercase Letter 7
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 164
 
7.3%
홀 150
 
6.7%
추 141
 
6.3%
미 141
 
6.3%
구 133
 
5.9%
동 131
 
5.8%
광 130
 
5.8%
시 129
 
5.8%
역 129
 
5.8%
천 129
 
5.8%
Other values (99) 866
38.6%
Decimal Number
ValueCountFrequency (%)
2 96
18.9%
3 78
15.3%
1 62
12.2%
4 57
11.2%
0 47
9.2%
6 42
8.3%
8 39
7.7%
5 33
 
6.5%
7 30
 
5.9%
9 25
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
N 3
42.9%
P 1
 
14.3%
I 1
 
14.3%
E 1
 
14.3%
C 1
 
14.3%
Space Separator
ValueCountFrequency (%)
612
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%
Other Punctuation
ValueCountFrequency (%)
, 67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2243
60.5%
Common 1458
39.3%
Latin 7
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 164
 
7.3%
홀 150
 
6.7%
추 141
 
6.3%
미 141
 
6.3%
구 133
 
5.9%
동 131
 
5.8%
광 130
 
5.8%
시 129
 
5.8%
역 129
 
5.8%
천 129
 
5.8%
Other values (99) 866
38.6%
Common
ValueCountFrequency (%)
612
42.0%
) 129
 
8.8%
( 129
 
8.8%
2 96
 
6.6%
3 78
 
5.3%
, 67
 
4.6%
1 62
 
4.3%
4 57
 
3.9%
0 47
 
3.2%
6 42
 
2.9%
Other values (6) 139
 
9.5%
Latin
ValueCountFrequency (%)
N 3
42.9%
P 1
 
14.3%
I 1
 
14.3%
E 1
 
14.3%
C 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2243
60.5%
ASCII 1465
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
612
41.8%
) 129
 
8.8%
( 129
 
8.8%
2 96
 
6.6%
3 78
 
5.3%
, 67
 
4.6%
1 62
 
4.2%
4 57
 
3.9%
0 47
 
3.2%
6 42
 
2.9%
Other values (11) 146
 
10.0%
Hangul
ValueCountFrequency (%)
인 164
 
7.3%
홀 150
 
6.7%
추 141
 
6.3%
미 141
 
6.3%
구 133
 
5.9%
동 131
 
5.8%
광 130
 
5.8%
시 129
 
5.8%
역 129
 
5.8%
천 129
 
5.8%
Other values (99) 866
38.6%

전화번호
Text

UNIQUE 

Distinct129
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T19:28:38.987342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1548
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

Unique129 ?
Unique (%)100.0%

Sample

1st row032-224-2275
2nd row032-228-2275
3rd row032-882-2650
4th row032-883-1973
5th row032-437-2112
ValueCountFrequency (%)
032-224-2275 1
 
0.8%
032-875-9491 1
 
0.8%
032-876-7528 1
 
0.8%
032-868-2875 1
 
0.8%
032-874-4555 1
 
0.8%
032-881-2875 1
 
0.8%
032-426-2875 1
 
0.8%
032-423-7652 1
 
0.8%
032-423-2872 1
 
0.8%
032-861-2875 1
 
0.8%
Other values (119) 119
92.2%
2023-12-12T19:28:39.412219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 320
20.7%
- 258
16.7%
8 222
14.3%
3 179
11.6%
0 166
10.7%
7 124
 
8.0%
5 92
 
5.9%
4 79
 
5.1%
6 50
 
3.2%
1 30
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1290
83.3%
Dash Punctuation 258
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 320
24.8%
8 222
17.2%
3 179
13.9%
0 166
12.9%
7 124
 
9.6%
5 92
 
7.1%
4 79
 
6.1%
6 50
 
3.9%
1 30
 
2.3%
9 28
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 258
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1548
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 320
20.7%
- 258
16.7%
8 222
14.3%
3 179
11.6%
0 166
10.7%
7 124
 
8.0%
5 92
 
5.9%
4 79
 
5.1%
6 50
 
3.2%
1 30
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1548
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 320
20.7%
- 258
16.7%
8 222
14.3%
3 179
11.6%
0 166
10.7%
7 124
 
8.0%
5 92
 
5.9%
4 79
 
5.1%
6 50
 
3.2%
1 30
 
1.9%

위도
Real number (ℝ)

Distinct128
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.454907
Minimum37.43741
Maximum37.471042
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T19:28:39.552006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.43741
5-th percentile37.440349
Q137.448312
median37.457383
Q337.459636
95-th percentile37.46757
Maximum37.471042
Range0.0336319
Interquartile range (IQR)0.01132425

Descriptive statistics

Standard deviation0.0083502864
Coefficient of variation (CV)0.00022294239
Kurtosis-0.84217329
Mean37.454907
Median Absolute Deviation (MAD)0.00719763
Skewness-0.096953101
Sum4831.683
Variance6.9727283 × 10-5
MonotonicityNot monotonic
2023-12-12T19:28:39.701368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.44814624 2
 
1.6%
37.46357787 1
 
0.8%
37.46578397 1
 
0.8%
37.43949224 1
 
0.8%
37.46664869 1
 
0.8%
37.44853096 1
 
0.8%
37.45827824 1
 
0.8%
37.45843328 1
 
0.8%
37.45820256 1
 
0.8%
37.46085744 1
 
0.8%
Other values (118) 118
91.5%
ValueCountFrequency (%)
37.43740989 1
0.8%
37.43926519 1
0.8%
37.43929879 1
0.8%
37.43934765 1
0.8%
37.43949224 1
0.8%
37.43953362 1
0.8%
37.44014984 1
0.8%
37.44064662 1
0.8%
37.4414509 1
0.8%
37.44234469 1
0.8%
ValueCountFrequency (%)
37.47104179 1
0.8%
37.47047277 1
0.8%
37.4701339 1
0.8%
37.46991797 1
0.8%
37.46857416 1
0.8%
37.4681181 1
0.8%
37.46781865 1
0.8%
37.4671964 1
0.8%
37.46716908 1
0.8%
37.46713434 1
0.8%

경도
Real number (ℝ)

Distinct128
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66967
Minimum126.63327
Maximum126.69668
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T19:28:39.836226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63327
5-th percentile126.63776
Q1126.65646
median126.67625
Q3126.68138
95-th percentile126.69211
Maximum126.69668
Range0.0634089
Interquartile range (IQR)0.0249226

Descriptive statistics

Standard deviation0.017952095
Coefficient of variation (CV)0.00014172371
Kurtosis-0.92895556
Mean126.66967
Median Absolute Deviation (MAD)0.0126235
Skewness-0.5327382
Sum16340.387
Variance0.00032227771
MonotonicityNot monotonic
2023-12-12T19:28:39.976988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6491202 2
 
1.6%
126.6947749 1
 
0.8%
126.6564951 1
 
0.8%
126.6717439 1
 
0.8%
126.684151 1
 
0.8%
126.6793108 1
 
0.8%
126.6447096 1
 
0.8%
126.6898253 1
 
0.8%
126.6888747 1
 
0.8%
126.6806235 1
 
0.8%
Other values (118) 118
91.5%
ValueCountFrequency (%)
126.6332704 1
0.8%
126.6336714 1
0.8%
126.6356141 1
0.8%
126.636049 1
0.8%
126.6370286 1
0.8%
126.6375535 1
0.8%
126.6376701 1
0.8%
126.6379026 1
0.8%
126.6379685 1
0.8%
126.6380872 1
0.8%
ValueCountFrequency (%)
126.6966793 1
0.8%
126.6962105 1
0.8%
126.6947749 1
0.8%
126.6944531 1
0.8%
126.6940218 1
0.8%
126.6939351 1
0.8%
126.6923315 1
0.8%
126.6917895 1
0.8%
126.6915287 1
0.8%
126.691111 1
0.8%

Interactions

2023-12-12T19:28:36.448997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:35.882975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:36.176438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:36.548417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:35.972465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:36.272864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:36.653370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:36.065286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:28:36.360445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:28:40.075538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.3890.296
위도0.3891.0000.856
경도0.2960.8561.000
2023-12-12T19:28:40.176741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.000-0.1620.085
위도-0.1621.0000.173
경도0.0850.1731.000

Missing values

2023-12-12T19:28:36.789721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:28:36.894192image/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

연번의료기관명도로명주소전화번호위도경도
01SNC시카고치과의원인천광역시 미추홀구 독배로 311, 비젼프라자 3층 302호 (용현동)032-224-227537.448146126.64912
12감동e플란트치과의원인천광역시 미추홀구 석정로 391, 4층 (주안동)032-228-227537.467196126.678997
23강명건치과의원인천광역시 미추홀구 석정로 37-1 (숭의동)032-882-265037.463202126.643096
34강준영치과의원인천광역시 미추홀구 토금중로 20 (용현동)032-883-197337.453499126.635614
45건강한e치과의원인천광역시 미추홀구 경원대로 862 (주안동)032-437-211237.459636126.689815
56고영식치과의원인천광역시 미추홀구 경인로 363 (주안동)032-424-086037.458665126.680479
67고은치과의원인천광역시 미추홀구 매소홀로 466, 4층일부층 (학익동)032-865-280437.439348126.673637
78곽경일치과의원인천광역시 미추홀구 경인로 124 (숭의동)032-882-867537.465969126.656553
89구제훈치과의원인천광역시 미추홀구 소성로 136 (학익동,202호)032-874-287237.442902126.663685
910굿모닝치과의원인천광역시 미추홀구 수봉로 1 (숭의동)032-888-280737.465948126.656458
연번의료기관명도로명주소전화번호위도경도
119120한국건강관리협회 건강한치과의원인천광역시 미추홀구 독배로498번길 14, 1층 (숭의동)032-890-870037.462261126.644319
120121한창수치과의원인천광역시 미추홀구 낙섬중로 17 (용현동)032-887-263537.45013126.636049
121122함께하는치과의원인천광역시 미추홀구 소성로 328, 2층 (문학동)032-442-752837.43741126.683832
122123행복n치과의원인천광역시 미추홀구 매소홀로 372 (학익동)032-875-752837.44015126.663173
123124행복담은샘치과의원인천광역시 미추홀구 인하로352번길 4 (주안동)032-204-282837.447916126.687206
124125행복드림치과의원인천광역시 미추홀구 석산로 42, 2층 206,207호 (주안동, 두산주상복합아파트)032-224-287537.461404126.696679
125126현대치과의원인천광역시 미추홀구 한나루로 400 (학익동)032-867-212837.443515126.664965
126127현치과의원인천광역시 미추홀구 인주대로 261 (주안동)032-868-284237.45303126.665792
127128홍진표치과의원인천광역시 미추홀구 경인로326번길 2 (도화동)032-873-654037.458547126.675974
128129동아치과병원인천광역시 미추홀구 구월로 17, 2층 (주안동)032-427-757537.457988126.692331