Overview

Dataset statistics

Number of variables5
Number of observations37
Missing cells13
Missing cells (%)7.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory44.5 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description김해시 치과기공소 현황에 대한 자료로 치과기공소명, 인정일자, 소재지 도로명주소, 전화번호 에 대한 항목으로 구성되어 있습니다.
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15033431/fileData.do

Alerts

전화번호 has 13 (35.1%) missing valuesMissing
치과기공소명 has unique valuesUnique
인정일자 has unique valuesUnique

Reproduction

Analysis started2024-03-14 14:00:34.759535
Analysis finished2024-03-14 14:00:35.891253
Duration1.13 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

Distinct21
Distinct (%)56.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9189189
Minimum1
Maximum21
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size461.0 B
2024-03-14T23:00:36.074013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.8
Q15
median10
Q314
95-th percentile19.2
Maximum21
Range20
Interquartile range (IQR)9

Descriptive statistics

Standard deviation5.6929702
Coefficient of variation (CV)0.57395068
Kurtosis-0.97999153
Mean9.9189189
Median Absolute Deviation (MAD)5
Skewness0.16405881
Sum367
Variance32.40991
MonotonicityNot monotonic
2024-03-14T23:00:36.468657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 2
 
5.4%
10 2
 
5.4%
16 2
 
5.4%
15 2
 
5.4%
14 2
 
5.4%
13 2
 
5.4%
2 2
 
5.4%
11 2
 
5.4%
12 2
 
5.4%
9 2
 
5.4%
Other values (11) 17
45.9%
ValueCountFrequency (%)
1 2
5.4%
2 2
5.4%
3 2
5.4%
4 2
5.4%
5 2
5.4%
6 2
5.4%
7 2
5.4%
8 2
5.4%
9 2
5.4%
10 2
5.4%
ValueCountFrequency (%)
21 1
2.7%
20 1
2.7%
19 1
2.7%
18 1
2.7%
17 1
2.7%
16 2
5.4%
15 2
5.4%
14 2
5.4%
13 2
5.4%
12 2
5.4%

치과기공소명
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size424.0 B
2024-03-14T23:00:37.299385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length7
Mean length8.1081081
Min length5

Characters and Unicode

Total characters300
Distinct characters88
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

Unique37 ?
Unique (%)100.0%

Sample

1st row덴탈플란트
2nd row바름치과기공소
3rd row햇살치과기공소
4th row가까운치과기공소
5th row호호치과기공소
ValueCountFrequency (%)
치과기공소 2
 
4.9%
덴탈플란트 1
 
2.4%
한결치과기공소 1
 
2.4%
가야치과기공소 1
 
2.4%
tp교정치과기공소(부산지점 1
 
2.4%
dna치과기공소 1
 
2.4%
뉴티스치과기공소 1
 
2.4%
두경치과기공소 1
 
2.4%
탄탄치과기공소 1
 
2.4%
하모니치과기공소 1
 
2.4%
Other values (30) 30
73.2%
2024-03-14T23:00:38.565764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
12.3%
36
 
12.0%
36
 
12.0%
35
 
11.7%
35
 
11.7%
8
 
2.7%
4
 
1.3%
( 3
 
1.0%
3
 
1.0%
3
 
1.0%
Other values (78) 100
33.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 271
90.3%
Uppercase Letter 11
 
3.7%
Lowercase Letter 7
 
2.3%
Space Separator 4
 
1.3%
Open Punctuation 3
 
1.0%
Close Punctuation 3
 
1.0%
Decimal Number 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
37
13.7%
36
13.3%
36
13.3%
35
12.9%
35
12.9%
8
 
3.0%
3
 
1.1%
3
 
1.1%
3
 
1.1%
2
 
0.7%
Other values (60) 73
26.9%
Uppercase Letter
ValueCountFrequency (%)
R 2
18.2%
T 2
18.2%
P 2
18.2%
M 1
9.1%
H 1
9.1%
D 1
9.1%
N 1
9.1%
A 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
u 2
28.6%
n 1
14.3%
l 1
14.3%
h 1
14.3%
e 1
14.3%
s 1
14.3%
Space Separator
ValueCountFrequency (%)
4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 271
90.3%
Latin 18
 
6.0%
Common 11
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
13.7%
36
13.3%
36
13.3%
35
12.9%
35
12.9%
8
 
3.0%
3
 
1.1%
3
 
1.1%
3
 
1.1%
2
 
0.7%
Other values (60) 73
26.9%
Latin
ValueCountFrequency (%)
u 2
11.1%
R 2
11.1%
T 2
11.1%
P 2
11.1%
M 1
 
5.6%
H 1
 
5.6%
D 1
 
5.6%
N 1
 
5.6%
A 1
 
5.6%
n 1
 
5.6%
Other values (4) 4
22.2%
Common
ValueCountFrequency (%)
4
36.4%
( 3
27.3%
) 3
27.3%
2 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 271
90.3%
ASCII 29
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
37
13.7%
36
13.3%
36
13.3%
35
12.9%
35
12.9%
8
 
3.0%
3
 
1.1%
3
 
1.1%
3
 
1.1%
2
 
0.7%
Other values (60) 73
26.9%
ASCII
ValueCountFrequency (%)
4
13.8%
( 3
 
10.3%
) 3
 
10.3%
u 2
 
6.9%
R 2
 
6.9%
T 2
 
6.9%
P 2
 
6.9%
M 1
 
3.4%
H 1
 
3.4%
D 1
 
3.4%
Other values (8) 8
27.6%

인정일자
Date

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size424.0 B
Minimum1995-04-29 00:00:00
Maximum2023-06-28 00:00:00
2024-03-14T23:00:38.959240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T23:00:39.349230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
Distinct36
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size424.0 B
2024-03-14T23:00:40.482552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length36
Mean length31.054054
Min length21

Characters and Unicode

Total characters1149
Distinct characters120
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

Unique35 ?
Unique (%)94.6%

Sample

1st row경상남도 김해시 골든루트로66번길 146, A동 (풍유동)
2nd row경상남도 김해시 삼계로 30, 탑스존 2층 215호 (구산동)
3rd row경상남도 김해시 김해대로 1784-7, 오션플라자 304-1호 (삼계동)
4th row경상남도 김해시 가락로 274, 202호 (구산동)
5th row경상남도 김해시 가락로7번길 14, 3층 (봉황동)
ValueCountFrequency (%)
경상남도 37
 
15.7%
김해시 37
 
15.7%
2층 7
 
3.0%
3층 6
 
2.6%
진영읍 5
 
2.1%
대청동 5
 
2.1%
구산동 4
 
1.7%
봉황동 3
 
1.3%
30 3
 
1.3%
부곡동 3
 
1.3%
Other values (107) 125
53.2%
2024-03-14T23:00:42.072244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
 
17.2%
1 42
 
3.7%
42
 
3.7%
41
 
3.6%
41
 
3.6%
37
 
3.2%
37
 
3.2%
37
 
3.2%
37
 
3.2%
37
 
3.2%
Other values (110) 600
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 638
55.5%
Decimal Number 202
 
17.6%
Space Separator 198
 
17.2%
Other Punctuation 34
 
3.0%
Close Punctuation 32
 
2.8%
Open Punctuation 32
 
2.8%
Dash Punctuation 11
 
1.0%
Uppercase Letter 1
 
0.1%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
42
 
6.6%
41
 
6.4%
41
 
6.4%
37
 
5.8%
37
 
5.8%
37
 
5.8%
37
 
5.8%
37
 
5.8%
33
 
5.2%
19
 
3.0%
Other values (93) 277
43.4%
Decimal Number
ValueCountFrequency (%)
1 42
20.8%
2 28
13.9%
3 27
13.4%
0 26
12.9%
4 20
9.9%
7 14
 
6.9%
5 14
 
6.9%
6 12
 
5.9%
8 11
 
5.4%
9 8
 
4.0%
Space Separator
ValueCountFrequency (%)
198
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 638
55.5%
Common 509
44.3%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
42
 
6.6%
41
 
6.4%
41
 
6.4%
37
 
5.8%
37
 
5.8%
37
 
5.8%
37
 
5.8%
37
 
5.8%
33
 
5.2%
19
 
3.0%
Other values (93) 277
43.4%
Common
ValueCountFrequency (%)
198
38.9%
1 42
 
8.3%
, 34
 
6.7%
) 32
 
6.3%
( 32
 
6.3%
2 28
 
5.5%
3 27
 
5.3%
0 26
 
5.1%
4 20
 
3.9%
7 14
 
2.8%
Other values (5) 56
 
11.0%
Latin
ValueCountFrequency (%)
A 1
50.0%
e 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 638
55.5%
ASCII 511
44.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
38.7%
1 42
 
8.2%
, 34
 
6.7%
) 32
 
6.3%
( 32
 
6.3%
2 28
 
5.5%
3 27
 
5.3%
0 26
 
5.1%
4 20
 
3.9%
7 14
 
2.7%
Other values (7) 58
 
11.4%
Hangul
ValueCountFrequency (%)
42
 
6.6%
41
 
6.4%
41
 
6.4%
37
 
5.8%
37
 
5.8%
37
 
5.8%
37
 
5.8%
37
 
5.8%
33
 
5.2%
19
 
3.0%
Other values (93) 277
43.4%

전화번호
Text

MISSING 

Distinct24
Distinct (%)100.0%
Missing13
Missing (%)35.1%
Memory size424.0 B
2024-03-14T23:00:42.867171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.041667
Min length12

Characters and Unicode

Total characters289
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

Unique24 ?
Unique (%)100.0%

Sample

1st row055-329-6617
2nd row055-329-3058
3rd row055-312-7078
4th row055-313-3573
5th row070-8252-1596
ValueCountFrequency (%)
055-329-6617 1
 
4.2%
055-329-3058 1
 
4.2%
055-312-7582 1
 
4.2%
055-312-0911 1
 
4.2%
055-343-2866 1
 
4.2%
055-312-7298 1
 
4.2%
055-335-8175 1
 
4.2%
055-345-2879 1
 
4.2%
055-345-7164 1
 
4.2%
055-311-2849 1
 
4.2%
Other values (14) 14
58.3%
2024-03-14T23:00:44.032280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 61
21.1%
- 48
16.6%
3 34
11.8%
2 33
11.4%
0 32
11.1%
8 22
 
7.6%
1 20
 
6.9%
4 12
 
4.2%
7 11
 
3.8%
9 8
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 241
83.4%
Dash Punctuation 48
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 61
25.3%
3 34
14.1%
2 33
13.7%
0 32
13.3%
8 22
 
9.1%
1 20
 
8.3%
4 12
 
5.0%
7 11
 
4.6%
9 8
 
3.3%
6 8
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 289
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 61
21.1%
- 48
16.6%
3 34
11.8%
2 33
11.4%
0 32
11.1%
8 22
 
7.6%
1 20
 
6.9%
4 12
 
4.2%
7 11
 
3.8%
9 8
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 61
21.1%
- 48
16.6%
3 34
11.8%
2 33
11.4%
0 32
11.1%
8 22
 
7.6%
1 20
 
6.9%
4 12
 
4.2%
7 11
 
3.8%
9 8
 
2.8%

Interactions

2024-03-14T23:00:35.105747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T23:00:44.292469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번치과기공소명인정일자소재지(도로명)전화번호
순번1.0001.0001.0000.9391.000
치과기공소명1.0001.0001.0001.0001.000
인정일자1.0001.0001.0001.0001.000
소재지(도로명)0.9391.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-03-14T23:00:35.450298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T23:00:35.767489image/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

순번치과기공소명인정일자소재지(도로명)전화번호
01덴탈플란트2023-06-28경상남도 김해시 골든루트로66번길 146, A동 (풍유동)<NA>
12바름치과기공소2022-02-15경상남도 김해시 삼계로 30, 탑스존 2층 215호 (구산동)<NA>
23햇살치과기공소2021-01-21경상남도 김해시 김해대로 1784-7, 오션플라자 304-1호 (삼계동)<NA>
34가까운치과기공소2021-01-10경상남도 김해시 가락로 274, 202호 (구산동)<NA>
45호호치과기공소2019-10-04경상남도 김해시 가락로7번길 14, 3층 (봉황동)<NA>
56찬미치과기공소2019-08-01경상남도 김해시 내외중앙로 59, 4층 (내동)<NA>
67더 플러스(The Plus) 치과기공소2017-06-13경상남도 김해시 가락로15번길 31, 2층 (봉황동)055-329-6617
78온새미로치과기공소2015-02-05경상남도 김해시 활천로 164-1, 2층 (어방동)<NA>
89웰니스치과기공소2014-08-28경상남도 김해시 주촌면 골든루트로 80-59, 505호<NA>
910에이스 치과기공소2013-12-16경상남도 김해시 함박로 122-1, 314,315호 (외동)055-329-3058
순번치과기공소명인정일자소재지(도로명)전화번호
277한결치과기공소2012-11-19경상남도 김해시 번화1로 82 (대청동)055-311-2849
288비전치과기공소2011-11-22경상남도 김해시 진영읍 여래로 35, 3층055-345-7164
299HM치과기공소2011-07-25경상남도 김해시 진례면 진례로256번길 6, 1층055-345-2879
3010지르스타치과기공소2010-09-28경상남도 김해시 번화1로44번길 20, 위드투빌딩 1002호 (대청동)055-335-8175
3111디자인치과기공소2009-11-04경상남도 김해시 금관대로599번길 12 (내덕동)055-312-7298
3212남부치과기공소2008-12-26경상남도 김해시 진영읍 김해대로361번길 2 (진영그랜드프라자 407호)055-343-2866
3313태성치과기공소2008-02-14경상남도 김해시 번화1로68번길 7, 장안플라자 (대청동)<NA>
3414미소치과기공소2007-05-30경상남도 김해시 진영읍 진영로 177-1, 3층055-312-0911
3515다인치과기공소2006-07-31경상남도 김해시 번화1로80번길 15 (대청동)055-312-7582
3616김해치과기공소1995-04-29경상남도 김해시 능동로 153, 308호 (부곡동, 삼화빌딩)055-321-9515