Overview

Dataset statistics

Number of variables5
Number of observations24
Missing cells6
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory46.5 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description서울특별시 양천구 치과기공소현황 자료입니다. 치과기공소명, 소재지주소, 전화번호 데이터를 포함하고있습니다.
URLhttps://www.data.go.kr/data/15114857/fileData.do

Alerts

데이터기준일 has constant value ""Constant
전화번호 has 6 (25.0%) missing valuesMissing
연번 has unique valuesUnique
치과기공소명 has unique valuesUnique
소재지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:44:42.896786
Analysis finished2023-12-11 23:44:43.404460
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T08:44:43.474609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2023-12-12T08:44:43.603078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

치과기공소명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T08:44:44.154089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.6666667
Min length4

Characters and Unicode

Total characters208
Distinct characters73
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

Unique24 ?
Unique (%)100.0%

Sample

1st row디엠(DM) 치과기공소
2nd row진아트 치과기공소
3rd row윤치과기공소
4th row위드유(With you) 치과기공소
5th row굿잡치과기공소
ValueCountFrequency (%)
치과기공소 4
 
13.3%
디엠(dm 1
 
3.3%
다인치과기공소 1
 
3.3%
오랄아트 1
 
3.3%
이소치과기공소 1
 
3.3%
믿음치과기공소 1
 
3.3%
k&s치과기공소 1
 
3.3%
플러스치과기공소 1
 
3.3%
스마일클리어교정치과기공소 1
 
3.3%
tech(지디테크 1
 
3.3%
Other values (17) 17
56.7%
2023-12-12T08:44:44.615717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 23
 
11.1%
기 22
 
10.6%
공 22
 
10.6%
치 22
 
10.6%
과 22
 
10.6%
6
 
2.9%
트 5
 
2.4%
마 3
 
1.4%
이 3
 
1.4%
스 3
 
1.4%
Other values (63) 77
37.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
85.1%
Lowercase Letter 10
 
4.8%
Uppercase Letter 7
 
3.4%
Space Separator 6
 
2.9%
Close Punctuation 3
 
1.4%
Open Punctuation 3
 
1.4%
Other Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 23
13.0%
기 22
12.4%
공 22
12.4%
치 22
12.4%
과 22
12.4%
트 5
 
2.8%
마 3
 
1.7%
이 3
 
1.7%
스 3
 
1.7%
어 2
 
1.1%
Other values (44) 50
28.2%
Lowercase Letter
ValueCountFrequency (%)
t 2
20.0%
h 2
20.0%
c 1
10.0%
e 1
10.0%
i 1
10.0%
y 1
10.0%
o 1
10.0%
u 1
10.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
28.6%
Z 1
14.3%
S 1
14.3%
K 1
14.3%
M 1
14.3%
W 1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
85.1%
Latin 17
 
8.2%
Common 14
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 23
13.0%
기 22
12.4%
공 22
12.4%
치 22
12.4%
과 22
12.4%
트 5
 
2.8%
마 3
 
1.7%
이 3
 
1.7%
스 3
 
1.7%
어 2
 
1.1%
Other values (44) 50
28.2%
Latin
ValueCountFrequency (%)
t 2
11.8%
h 2
11.8%
D 2
11.8%
c 1
 
5.9%
Z 1
 
5.9%
e 1
 
5.9%
S 1
 
5.9%
K 1
 
5.9%
M 1
 
5.9%
W 1
 
5.9%
Other values (4) 4
23.5%
Common
ValueCountFrequency (%)
6
42.9%
) 3
21.4%
( 3
21.4%
. 1
 
7.1%
& 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
85.1%
ASCII 31
 
14.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 23
13.0%
기 22
12.4%
공 22
12.4%
치 22
12.4%
과 22
12.4%
트 5
 
2.8%
마 3
 
1.7%
이 3
 
1.7%
스 3
 
1.7%
어 2
 
1.1%
Other values (44) 50
28.2%
ASCII
ValueCountFrequency (%)
6
19.4%
) 3
 
9.7%
( 3
 
9.7%
t 2
 
6.5%
h 2
 
6.5%
D 2
 
6.5%
c 1
 
3.2%
Z 1
 
3.2%
. 1
 
3.2%
e 1
 
3.2%
Other values (9) 9
29.0%

소재지주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-12T08:44:44.883780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34.5
Mean length29.291667
Min length22

Characters and Unicode

Total characters703
Distinct characters50
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

Unique24 ?
Unique (%)100.0%

Sample

1st row서울특별시 양천구 지양로 54, 3층 (신월동)
2nd row서울특별시 양천구 신목로 74, 4층 (신정동)
3rd row서울특별시 양천구 월정로 129, 3층 (신월동)
4th row서울특별시 양천구 중앙로32길 83, 2층 (신정동)
5th row서울특별시 양천구 중앙로 235, 신성빌딩 4층층 (신정동)
ValueCountFrequency (%)
서울특별시 24
16.1%
양천구 24
16.1%
신정동 18
 
12.1%
3층 8
 
5.4%
신목로 6
 
4.0%
2층 5
 
3.4%
목동 4
 
2.7%
오목로 4
 
2.7%
목동중앙북로 3
 
2.0%
중앙로 2
 
1.3%
Other values (46) 51
34.2%
2023-12-12T08:44:45.358809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
17.8%
신 30
 
4.3%
동 28
 
4.0%
양 26
 
3.7%
, 26
 
3.7%
서 24
 
3.4%
로 24
 
3.4%
울 24
 
3.4%
) 24
 
3.4%
( 24
 
3.4%
Other values (40) 348
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 396
56.3%
Space Separator 125
 
17.8%
Decimal Number 106
 
15.1%
Other Punctuation 26
 
3.7%
Close Punctuation 24
 
3.4%
Open Punctuation 24
 
3.4%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 30
 
7.6%
동 28
 
7.1%
양 26
 
6.6%
서 24
 
6.1%
로 24
 
6.1%
울 24
 
6.1%
시 24
 
6.1%
특 24
 
6.1%
구 24
 
6.1%
천 24
 
6.1%
Other values (25) 144
36.4%
Decimal Number
ValueCountFrequency (%)
2 24
22.6%
4 18
17.0%
3 17
16.0%
1 15
14.2%
5 8
 
7.5%
0 7
 
6.6%
8 5
 
4.7%
9 4
 
3.8%
7 4
 
3.8%
6 4
 
3.8%
Space Separator
ValueCountFrequency (%)
125
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 396
56.3%
Common 307
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 30
 
7.6%
동 28
 
7.1%
양 26
 
6.6%
서 24
 
6.1%
로 24
 
6.1%
울 24
 
6.1%
시 24
 
6.1%
특 24
 
6.1%
구 24
 
6.1%
천 24
 
6.1%
Other values (25) 144
36.4%
Common
ValueCountFrequency (%)
125
40.7%
, 26
 
8.5%
) 24
 
7.8%
( 24
 
7.8%
2 24
 
7.8%
4 18
 
5.9%
3 17
 
5.5%
1 15
 
4.9%
5 8
 
2.6%
0 7
 
2.3%
Other values (5) 19
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 396
56.3%
ASCII 307
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
40.7%
, 26
 
8.5%
) 24
 
7.8%
( 24
 
7.8%
2 24
 
7.8%
4 18
 
5.9%
3 17
 
5.5%
1 15
 
4.9%
5 8
 
2.6%
0 7
 
2.3%
Other values (5) 19
 
6.2%
Hangul
ValueCountFrequency (%)
신 30
 
7.6%
동 28
 
7.1%
양 26
 
6.6%
서 24
 
6.1%
로 24
 
6.1%
울 24
 
6.1%
시 24
 
6.1%
특 24
 
6.1%
구 24
 
6.1%
천 24
 
6.1%
Other values (25) 144
36.4%

전화번호
Text

MISSING 

Distinct18
Distinct (%)100.0%
Missing6
Missing (%)25.0%
Memory size324.0 B
2023-12-12T08:44:45.611117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length10.222222
Min length9

Characters and Unicode

Total characters184
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

Unique18 ?
Unique (%)100.0%

Sample

1st row02-2604-3332
2nd row070-7796-8747
3rd row02-2658-2805
4th row02-2647-2807
5th row02-2642-2842
ValueCountFrequency (%)
02-2604-3332 1
 
5.6%
070-7796-8747 1
 
5.6%
2645-2804 1
 
5.6%
2699-2883 1
 
5.6%
2696-3590 1
 
5.6%
2695-7517 1
 
5.6%
2649-7204 1
 
5.6%
2692-2804 1
 
5.6%
2651-2824 1
 
5.6%
2698-2763 1
 
5.6%
Other values (8) 8
44.4%
2023-12-12T08:44:46.044158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 39
21.2%
- 25
13.6%
0 22
12.0%
6 22
12.0%
7 17
9.2%
8 16
8.7%
4 13
 
7.1%
9 10
 
5.4%
3 8
 
4.3%
5 8
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 159
86.4%
Dash Punctuation 25
 
13.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 39
24.5%
0 22
13.8%
6 22
13.8%
7 17
10.7%
8 16
10.1%
4 13
 
8.2%
9 10
 
6.3%
3 8
 
5.0%
5 8
 
5.0%
1 4
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 184
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 39
21.2%
- 25
13.6%
0 22
12.0%
6 22
12.0%
7 17
9.2%
8 16
8.7%
4 13
 
7.1%
9 10
 
5.4%
3 8
 
4.3%
5 8
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 184
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 39
21.2%
- 25
13.6%
0 22
12.0%
6 22
12.0%
7 17
9.2%
8 16
8.7%
4 13
 
7.1%
9 10
 
5.4%
3 8
 
4.3%
5 8
 
4.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
Minimum2023-06-20 00:00:00
Maximum2023-06-20 00:00:00
2023-12-12T08:44:46.199576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:44:46.308855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T08:44:43.111003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:44:46.392080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번치과기공소명소재지주소전화번호
연번1.0001.0001.0001.000
치과기공소명1.0001.0001.0001.000
소재지주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T08:44:43.268251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:44:43.362346image/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

연번치과기공소명소재지주소전화번호데이터기준일
01디엠(DM) 치과기공소서울특별시 양천구 지양로 54, 3층 (신월동)<NA>2023-06-20
12진아트 치과기공소서울특별시 양천구 신목로 74, 4층 (신정동)<NA>2023-06-20
23윤치과기공소서울특별시 양천구 월정로 129, 3층 (신월동)02-2604-33322023-06-20
34위드유(With you) 치과기공소서울특별시 양천구 중앙로32길 83, 2층 (신정동)<NA>2023-06-20
45굿잡치과기공소서울특별시 양천구 중앙로 235, 신성빌딩 4층층 (신정동)<NA>2023-06-20
56덴탈플랜 치과기공소서울특별시 양천구 중앙로 237, 상운맘모스 6층 604호 (신정동)<NA>2023-06-20
67한마음치과기공소서울특별시 양천구 오목로 211, 402,403호 (신정동)070-7796-87472023-06-20
78효택치과기공소서울특별시 양천구 신목로 62, 3층 (신정동)<NA>2023-06-20
89연치과기공소서울특별시 양천구 목동중앙북로 54-1, 3층 (목동)02-2658-28052023-06-20
910수민치과기공소서울특별시 양천구 은행정로5길 5, 302호 (신정동, 신양빌딩)02-2647-28072023-06-20
연번치과기공소명소재지주소전화번호데이터기준일
1415클리어치과기공소서울특별시 양천구 오목로 199, 8층 (신정동)6200-88702023-06-20
1516화이트치과기공소서울특별시 양천구 중앙로46길 3, 207호 (신정동)2698-27632023-06-20
1617Z.D tech(지디테크)서울특별시 양천구 신목로 85 (신정동)2651-28242023-06-20
1718스마일클리어교정치과기공소서울특별시 양천구 신목로 24, 3,4층 (신정동)2692-28042023-06-20
1819플러스치과기공소서울특별시 양천구 목동중앙남로11길 24, 3층 (목동)2649-72042023-06-20
1920K&S치과기공소서울특별시 양천구 오목로 185, 2층 (신정동)2695-75172023-06-20
2021믿음치과기공소서울특별시 양천구 은행정로4길 22, 2층 (신정동)2696-35902023-06-20
2122이소치과기공소서울특별시 양천구 신정중앙로 48, 4층 (신정동)2699-28832023-06-20
2223오랄아트서울특별시 양천구 신목로 74, 3층 (신정동)2645-28042023-06-20
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