Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells5
Missing cells (%)3.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory57.0 B

Variable types

Numeric3
Text3

Dataset

Description인천광역시 미추홀구에 소재하고 있는 치과기공소 현황입니다. 데이터 상세내용은 연번, 상호명, 도로명주소, 전화번호, 좌표값 등 입니다
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15060723/fileData.do

Alerts

전화번호 has 5 (22.7%) missing valuesMissing
연번 has unique valuesUnique
상호명 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:36:22.713342
Analysis finished2024-04-29 22:36:25.567451
Duration2.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.5
Minimum1
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T07:36:25.629656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q16.25
median11.5
Q316.75
95-th percentile20.95
Maximum22
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.5646597
Kurtosis-1.2
Mean11.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum253
Variance42.166667
MonotonicityStrictly increasing
2024-04-30T07:36:25.737339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
1 1
 
4.5%
13 1
 
4.5%
22 1
 
4.5%
21 1
 
4.5%
20 1
 
4.5%
19 1
 
4.5%
18 1
 
4.5%
17 1
 
4.5%
16 1
 
4.5%
15 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
1 1
4.5%
2 1
4.5%
3 1
4.5%
4 1
4.5%
5 1
4.5%
6 1
4.5%
7 1
4.5%
8 1
4.5%
9 1
4.5%
10 1
4.5%
ValueCountFrequency (%)
22 1
4.5%
21 1
4.5%
20 1
4.5%
19 1
4.5%
18 1
4.5%
17 1
4.5%
16 1
4.5%
15 1
4.5%
14 1
4.5%
13 1
4.5%

상호명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-30T07:36:25.917780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length7
Mean length7.8181818
Min length6

Characters and Unicode

Total characters172
Distinct characters63
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row용현플란트치과기공소
2nd row큐브치과기공소
3rd row디지털허브덴탈솔루션
4th rowpeace lab(피스랩)
5th row혜성치과기공소
ValueCountFrequency (%)
용현플란트치과기공소 1
 
4.3%
인천라바치과기공소 1
 
4.3%
태성치과기공소 1
 
4.3%
제일치과기공소 1
 
4.3%
사랑치과기공소 1
 
4.3%
조아치과기공소 1
 
4.3%
우진치과기공소 1
 
4.3%
스타치과기공소 1
 
4.3%
리더치과기공소 1
 
4.3%
피앤디치과기공소 1
 
4.3%
Other values (13) 13
56.5%
2024-04-30T07:36:26.254941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
공 19
 
11.0%
기 19
 
11.0%
소 19
 
11.0%
치 19
 
11.0%
과 19
 
11.0%
디 3
 
1.7%
스 3
 
1.7%
이 3
 
1.7%
성 3
 
1.7%
탈 2
 
1.2%
Other values (53) 63
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 161
93.6%
Lowercase Letter 8
 
4.7%
Space Separator 1
 
0.6%
Open Punctuation 1
 
0.6%
Close Punctuation 1
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 19
 
11.8%
기 19
 
11.8%
소 19
 
11.8%
치 19
 
11.8%
과 19
 
11.8%
디 3
 
1.9%
스 3
 
1.9%
이 3
 
1.9%
성 3
 
1.9%
탈 2
 
1.2%
Other values (44) 52
32.3%
Lowercase Letter
ValueCountFrequency (%)
a 2
25.0%
e 2
25.0%
p 1
12.5%
c 1
12.5%
l 1
12.5%
b 1
12.5%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 161
93.6%
Latin 8
 
4.7%
Common 3
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 19
 
11.8%
기 19
 
11.8%
소 19
 
11.8%
치 19
 
11.8%
과 19
 
11.8%
디 3
 
1.9%
스 3
 
1.9%
이 3
 
1.9%
성 3
 
1.9%
탈 2
 
1.2%
Other values (44) 52
32.3%
Latin
ValueCountFrequency (%)
a 2
25.0%
e 2
25.0%
p 1
12.5%
c 1
12.5%
l 1
12.5%
b 1
12.5%
Common
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 161
93.6%
ASCII 11
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
공 19
 
11.8%
기 19
 
11.8%
소 19
 
11.8%
치 19
 
11.8%
과 19
 
11.8%
디 3
 
1.9%
스 3
 
1.9%
이 3
 
1.9%
성 3
 
1.9%
탈 2
 
1.2%
Other values (44) 52
32.3%
ASCII
ValueCountFrequency (%)
a 2
18.2%
e 2
18.2%
p 1
9.1%
c 1
9.1%
1
9.1%
l 1
9.1%
b 1
9.1%
( 1
9.1%
) 1
9.1%

도로명주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-04-30T07:36:26.468742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length32
Mean length30.954545
Min length24

Characters and Unicode

Total characters681
Distinct characters79
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 아암대로29번길 48, 백운프라자 2층 (용현동)
2nd row인천광역시 미추홀구 동주길120번길 45, 2층 (주안동)
3rd row인천광역시 미추홀구 미추홀대로 695, 인혜빌딩 8층일부층 (주안동)
4th row인천광역시 미추홀구 경인로 428, 삼성생명빌딩 8일부층 (주안동)
5th row인천광역시 미추홀구 수봉로 1, 3층 (숭의동)
ValueCountFrequency (%)
인천광역시 22
16.7%
미추홀구 22
16.7%
주안동 13
 
9.8%
2층 5
 
3.8%
도화동 4
 
3.0%
경인로 4
 
3.0%
3층 3
 
2.3%
468 2
 
1.5%
석바위로 2
 
1.5%
경원대로 1
 
0.8%
Other values (54) 54
40.9%
2024-04-30T07:36:26.843410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
112
 
16.4%
인 32
 
4.7%
동 23
 
3.4%
미 23
 
3.4%
추 23
 
3.4%
홀 23
 
3.4%
구 23
 
3.4%
( 23
 
3.4%
) 23
 
3.4%
광 22
 
3.2%
Other values (69) 354
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
59.0%
Space Separator 112
 
16.4%
Decimal Number 101
 
14.8%
Open Punctuation 23
 
3.4%
Close Punctuation 23
 
3.4%
Other Punctuation 18
 
2.6%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 32
 
8.0%
동 23
 
5.7%
미 23
 
5.7%
추 23
 
5.7%
홀 23
 
5.7%
구 23
 
5.7%
광 22
 
5.5%
역 22
 
5.5%
시 22
 
5.5%
천 22
 
5.5%
Other values (54) 167
41.5%
Decimal Number
ValueCountFrequency (%)
2 19
18.8%
3 17
16.8%
1 11
10.9%
0 11
10.9%
4 11
10.9%
5 10
9.9%
8 8
7.9%
7 5
 
5.0%
9 5
 
5.0%
6 4
 
4.0%
Space Separator
ValueCountFrequency (%)
112
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
59.0%
Common 279
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 32
 
8.0%
동 23
 
5.7%
미 23
 
5.7%
추 23
 
5.7%
홀 23
 
5.7%
구 23
 
5.7%
광 22
 
5.5%
역 22
 
5.5%
시 22
 
5.5%
천 22
 
5.5%
Other values (54) 167
41.5%
Common
ValueCountFrequency (%)
112
40.1%
( 23
 
8.2%
) 23
 
8.2%
2 19
 
6.8%
, 18
 
6.5%
3 17
 
6.1%
1 11
 
3.9%
0 11
 
3.9%
4 11
 
3.9%
5 10
 
3.6%
Other values (5) 24
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
59.0%
ASCII 279
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
112
40.1%
( 23
 
8.2%
) 23
 
8.2%
2 19
 
6.8%
, 18
 
6.5%
3 17
 
6.1%
1 11
 
3.9%
0 11
 
3.9%
4 11
 
3.9%
5 10
 
3.6%
Other values (5) 24
 
8.6%
Hangul
ValueCountFrequency (%)
인 32
 
8.0%
동 23
 
5.7%
미 23
 
5.7%
추 23
 
5.7%
홀 23
 
5.7%
구 23
 
5.7%
광 22
 
5.5%
역 22
 
5.5%
시 22
 
5.5%
천 22
 
5.5%
Other values (54) 167
41.5%

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing5
Missing (%)22.7%
Memory size308.0 B
2024-04-30T07:36:27.019508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.235294
Min length12

Characters and Unicode

Total characters208
Distinct characters10
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

Unique17 ?
Unique (%)100.0%

Sample

1st row070-4283-0342
2nd row032-433-2804
3rd row032-875-7529
4th row032-434-4333
5th row070-4203-2545
ValueCountFrequency (%)
070-4283-0342 1
 
5.9%
032-428-7204 1
 
5.9%
032-471-5028 1
 
5.9%
032-421-4920 1
 
5.9%
032-427-9428 1
 
5.9%
032-435-2804 1
 
5.9%
032-872-2801 1
 
5.9%
032-438-2804 1
 
5.9%
070-7724-2804 1
 
5.9%
032-875-7529 1
 
5.9%
Other values (7) 7
41.2%
2024-04-30T07:36:27.297498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 39
18.8%
- 34
16.3%
0 32
15.4%
3 28
13.5%
4 26
12.5%
8 17
8.2%
7 16
7.7%
5 8
 
3.8%
9 4
 
1.9%
1 4
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 174
83.7%
Dash Punctuation 34
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 39
22.4%
0 32
18.4%
3 28
16.1%
4 26
14.9%
8 17
9.8%
7 16
9.2%
5 8
 
4.6%
9 4
 
2.3%
1 4
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 208
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 39
18.8%
- 34
16.3%
0 32
15.4%
3 28
13.5%
4 26
12.5%
8 17
8.2%
7 16
7.7%
5 8
 
3.8%
9 4
 
1.9%
1 4
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 208
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 39
18.8%
- 34
16.3%
0 32
15.4%
3 28
13.5%
4 26
12.5%
8 17
8.2%
7 16
7.7%
5 8
 
3.8%
9 4
 
1.9%
1 4
 
1.9%

위도
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.458042
Minimum37.439505
Maximum37.475879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T07:36:27.420081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.439505
5-th percentile37.445411
Q137.456761
median37.45844
Q337.460606
95-th percentile37.470021
Maximum37.475879
Range0.036374806
Interquartile range (IQR)0.0038446775

Descriptive statistics

Standard deviation0.0084150395
Coefficient of variation (CV)0.00022465241
Kurtosis0.45125317
Mean37.458042
Median Absolute Deviation (MAD)0.00209778
Skewness-0.19029328
Sum824.07693
Variance7.081289 × 10-5
MonotonicityNot monotonic
2024-04-30T07:36:27.540472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
37.45844042 2
 
9.1%
37.45711259 1
 
4.5%
37.44818219 1
 
4.5%
37.475879336382 1
 
4.5%
37.45962284 1
 
4.5%
37.4701339 1
 
4.5%
37.45833742 1
 
4.5%
37.45965383 1
 
4.5%
37.46446609 1
 
4.5%
37.45725241 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
37.43950453 1
4.5%
37.44528343 1
4.5%
37.44783997 1
4.5%
37.44818219 1
4.5%
37.44844243 1
4.5%
37.45664426 1
4.5%
37.45711259 1
4.5%
37.45725241 1
4.5%
37.45766128 1
4.5%
37.45833742 1
4.5%
ValueCountFrequency (%)
37.475879336382 1
4.5%
37.4701339 1
4.5%
37.46787183 1
4.5%
37.46594847 1
4.5%
37.46446609 1
4.5%
37.46083982 1
4.5%
37.45990462 1
4.5%
37.45965383 1
4.5%
37.45962284 1
4.5%
37.45946558 1
4.5%

경도
Real number (ℝ)

Distinct21
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67773
Minimum126.63905
Maximum126.69394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2024-04-30T07:36:27.647685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63905
5-th percentile126.65672
Q1126.67027
median126.68048
Q3126.68808
95-th percentile126.69197
Maximum126.69394
Range0.0548805
Interquartile range (IQR)0.01780965

Descriptive statistics

Standard deviation0.01364683
Coefficient of variation (CV)0.00010772872
Kurtosis1.6108135
Mean126.67773
Median Absolute Deviation (MAD)0.0079453
Skewness-1.2304699
Sum2786.91
Variance0.00018623596
MonotonicityNot monotonic
2024-04-30T07:36:27.753096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
126.6919677 2
 
9.1%
126.6390546 1
 
4.5%
126.6813803 1
 
4.5%
126.668561434274 1
 
4.5%
126.6776882 1
 
4.5%
126.66299 1
 
4.5%
126.6778381 1
 
4.5%
126.6882646 1
 
4.5%
126.6753404 1
 
4.5%
126.6939351 1
 
4.5%
Other values (11) 11
50.0%
ValueCountFrequency (%)
126.6390546 1
4.5%
126.6564577 1
4.5%
126.6617859 1
4.5%
126.66299 1
4.5%
126.668561434274 1
4.5%
126.668791 1
4.5%
126.6747225 1
4.5%
126.6753404 1
4.5%
126.6776882 1
4.5%
126.6778381 1
4.5%
ValueCountFrequency (%)
126.6939351 1
4.5%
126.6919677 2
9.1%
126.6895816 1
4.5%
126.6885893 1
4.5%
126.6882646 1
4.5%
126.6875403 1
4.5%
126.6875275 1
4.5%
126.6850379 1
4.5%
126.6813803 1
4.5%
126.6811675 1
4.5%

Interactions

2024-04-30T07:36:25.116617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:36:24.554229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:36:24.859002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:36:25.190966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:36:24.689439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:36:24.933217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:36:25.281209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:36:24.782215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:36:25.034750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:36:27.839629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명도로명주소전화번호위도경도
연번1.0001.0001.0001.0000.5510.000
상호명1.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.000
위도0.5511.0001.0001.0001.0000.661
경도0.0001.0001.0001.0000.6611.000
2024-04-30T07:36:27.943336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.3780.133
위도0.3781.000-0.318
경도0.133-0.3181.000

Missing values

2024-04-30T07:36:25.408696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:36:25.515273image/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

연번상호명도로명주소전화번호위도경도
01용현플란트치과기공소인천광역시 미추홀구 아암대로29번길 48, 백운프라자 2층 (용현동)070-4283-034237.457113126.639055
12큐브치과기공소인천광역시 미추홀구 동주길120번길 45, 2층 (주안동)032-433-280437.456644126.68754
23디지털허브덴탈솔루션인천광역시 미추홀구 미추홀대로 695, 인혜빌딩 8층일부층 (주안동)032-875-752937.459466126.679796
34peace lab(피스랩)인천광역시 미추홀구 경인로 428, 삼성생명빌딩 8일부층 (주안동)032-434-433337.457661126.687528
45혜성치과기공소인천광역시 미추홀구 수봉로 1, 3층 (숭의동)<NA>37.465948126.656458
56휴메디치과기공소인천광역시 미추홀구 경인로305번길 17, 205호 (도화동)070-4203-254537.46084126.674723
67아성치과기공소인천광역시 미추홀구 한나루로 351 (학익동, 2층)032-873-933237.439505126.661786
78이엔알치과기공소인천광역시 미추홀구 인하로298번길 57 (주안동, (2층))032-442-285337.445283126.681168
89고맥스치과기공소인천광역시 미추홀구 경인로 468, 3층 (주안동)<NA>37.45844126.691968
910조일치과기공소인천광역시 미추홀구 석정로 300, 302호 (도화동)<NA>37.467872126.668791
연번상호명도로명주소전화번호위도경도
1213미래치과기공소인천광역시 미추홀구 인하로299번길 3 (주안동)032-471-502837.448182126.68138
1314피앤디치과기공소인천광역시 미추홀구 석바위로 141 (주안동,4층)032-428-720437.459905126.688589
1415리더치과기공소인천광역시 미추홀구 구월로 32-1 (주안동,5층)032-438-280437.457252126.693935
1516스타치과기공소인천광역시 미추홀구 주안로 51, 민승빌딩 4층 (주안동)032-872-280137.464466126.67534
1617우진치과기공소인천광역시 미추홀구 석바위로 140 (주안동)032-435-280437.459654126.688265
1718조아치과기공소인천광역시 미추홀구 경인로 468 (주안동)032-427-942837.45844126.691968
1819사랑치과기공소인천광역시 미추홀구 경인로 340, 2층 (주안동)032-421-492037.458337126.677838
1920제일치과기공소인천광역시 미추홀구 숙골로87번길 2, 센타프라자 5층 (도화동)<NA>37.470134126.66299
2021태성치과기공소인천광역시 미추홀구 경인로325번길 22-36 (주안동)032-874-280437.459623126.677688
2122이에이덴탈랩인천광역시 미추홀구 송림로 320, 3층 (도화동)<NA>37.475879126.668561