Overview

Dataset statistics

Number of variables4
Number of observations56
Missing cells8
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.9 KiB
Average record size in memory35.4 B

Variable types

Numeric1
Text3

Dataset

Description서울특별시 광진구 치과기공소 현황으로, 순번, 최과기공소명, 소재지(도로명), 전화번호 등 항목에 대한 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15114504/fileData.do

Alerts

전화번호 has 8 (14.3%) missing valuesMissing
순번 has unique valuesUnique
치과기공소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:15:24.928420
Analysis finished2023-12-12 10:15:25.521697
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size636.0 B
2023-12-12T19:15:25.601623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2023-12-12T19:15:25.762212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

치과기공소명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T19:15:26.062703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length9.25
Min length5

Characters and Unicode

Total characters518
Distinct characters131
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)100.0%

Sample

1st row에이비교정치과기공소
2nd row에이아이덴탈랩(Ai dental Lab)
3rd row덴플러스치과기공소
4th row다온치과기공소
5th row덴티크치과기공소
ValueCountFrequency (%)
치과기공소 4
 
5.9%
dental 2
 
2.9%
lab 2
 
2.9%
에이비교정치과기공소 1
 
1.5%
하나치과기공소 1
 
1.5%
캐드캠치과기공소 1
 
1.5%
주)위드덴탈랩 1
 
1.5%
바른손치과기공소 1
 
1.5%
비산치과기공소 1
 
1.5%
덴탈랩(dental 1
 
1.5%
Other values (53) 53
77.9%
2023-12-12T19:15:26.526730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 50
 
9.7%
기 50
 
9.7%
공 50
 
9.7%
소 49
 
9.5%
과 49
 
9.5%
이 13
 
2.5%
12
 
2.3%
a 10
 
1.9%
( 10
 
1.9%
) 10
 
1.9%
Other values (121) 215
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 418
80.7%
Lowercase Letter 45
 
8.7%
Uppercase Letter 20
 
3.9%
Space Separator 12
 
2.3%
Open Punctuation 10
 
1.9%
Close Punctuation 10
 
1.9%
Other Punctuation 2
 
0.4%
Letter Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 50
 
12.0%
기 50
 
12.0%
공 50
 
12.0%
소 49
 
11.7%
과 49
 
11.7%
이 13
 
3.1%
덴 9
 
2.2%
탈 6
 
1.4%
아 5
 
1.2%
랩 5
 
1.2%
Other values (87) 132
31.6%
Lowercase Letter
ValueCountFrequency (%)
a 10
22.2%
t 6
13.3%
l 5
11.1%
e 4
 
8.9%
n 4
 
8.9%
d 4
 
8.9%
i 3
 
6.7%
r 2
 
4.4%
b 2
 
4.4%
o 1
 
2.2%
Other values (4) 4
 
8.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
10.0%
D 2
10.0%
J 2
10.0%
G 2
10.0%
L 2
10.0%
A 2
10.0%
K 1
 
5.0%
C 1
 
5.0%
R 1
 
5.0%
P 1
 
5.0%
Other values (4) 4
20.0%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
: 1
50.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 418
80.7%
Latin 66
 
12.7%
Common 34
 
6.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 50
 
12.0%
기 50
 
12.0%
공 50
 
12.0%
소 49
 
11.7%
과 49
 
11.7%
이 13
 
3.1%
덴 9
 
2.2%
탈 6
 
1.4%
아 5
 
1.2%
랩 5
 
1.2%
Other values (87) 132
31.6%
Latin
ValueCountFrequency (%)
a 10
15.2%
t 6
 
9.1%
l 5
 
7.6%
e 4
 
6.1%
n 4
 
6.1%
d 4
 
6.1%
i 3
 
4.5%
B 2
 
3.0%
D 2
 
3.0%
J 2
 
3.0%
Other values (19) 24
36.4%
Common
ValueCountFrequency (%)
12
35.3%
( 10
29.4%
) 10
29.4%
& 1
 
2.9%
: 1
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 417
80.5%
ASCII 99
 
19.1%
Number Forms 1
 
0.2%
Compat Jamo 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 50
 
12.0%
기 50
 
12.0%
공 50
 
12.0%
소 49
 
11.8%
과 49
 
11.8%
이 13
 
3.1%
덴 9
 
2.2%
탈 6
 
1.4%
아 5
 
1.2%
랩 5
 
1.2%
Other values (86) 131
31.4%
ASCII
ValueCountFrequency (%)
12
 
12.1%
a 10
 
10.1%
( 10
 
10.1%
) 10
 
10.1%
t 6
 
6.1%
l 5
 
5.1%
e 4
 
4.0%
n 4
 
4.0%
d 4
 
4.0%
i 3
 
3.0%
Other values (23) 31
31.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

소재지(도로명)
Text

Distinct55
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size580.0 B
2023-12-12T19:15:26.853298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length33.5
Mean length29.267857
Min length22

Characters and Unicode

Total characters1639
Distinct characters79
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique54 ?
Unique (%)96.4%

Sample

1st row서울특별시 광진구 천호대로113길 5, 201-2호 (중곡동)
2nd row서울특별시 광진구 능동로49길 18, 2층 (중곡동)
3rd row서울특별시 광진구 자양번영로 75, 한국타이어자양대리점 2층 (자양동)
4th row서울특별시 광진구 뚝섬로 703-1, 2층 (자양동)
5th row서울특별시 광진구 능동로 337-1, 3층 B호 (중곡동)
ValueCountFrequency (%)
서울특별시 56
16.5%
광진구 56
16.5%
중곡동 20
 
5.9%
자양동 19
 
5.6%
2층 16
 
4.7%
3층 14
 
4.1%
구의동 10
 
2.9%
능동로 6
 
1.8%
동일로 5
 
1.5%
39 4
 
1.2%
Other values (93) 133
39.2%
2023-12-12T19:15:27.371022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
283
 
17.3%
동 73
 
4.5%
구 66
 
4.0%
3 60
 
3.7%
로 57
 
3.5%
광 57
 
3.5%
울 56
 
3.4%
) 56
 
3.4%
( 56
 
3.4%
서 56
 
3.4%
Other values (69) 819
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 922
56.3%
Space Separator 283
 
17.3%
Decimal Number 260
 
15.9%
Close Punctuation 56
 
3.4%
Open Punctuation 56
 
3.4%
Other Punctuation 50
 
3.1%
Dash Punctuation 9
 
0.5%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 73
 
7.9%
구 66
 
7.2%
로 57
 
6.2%
광 57
 
6.2%
울 56
 
6.1%
서 56
 
6.1%
진 56
 
6.1%
시 56
 
6.1%
별 56
 
6.1%
특 56
 
6.1%
Other values (52) 333
36.1%
Decimal Number
ValueCountFrequency (%)
3 60
23.1%
1 45
17.3%
2 35
13.5%
0 25
9.6%
4 22
 
8.5%
5 19
 
7.3%
8 17
 
6.5%
9 15
 
5.8%
6 13
 
5.0%
7 9
 
3.5%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
283
100.0%
Close Punctuation
ValueCountFrequency (%)
) 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 56
100.0%
Other Punctuation
ValueCountFrequency (%)
, 50
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 922
56.3%
Common 714
43.6%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 73
 
7.9%
구 66
 
7.2%
로 57
 
6.2%
광 57
 
6.2%
울 56
 
6.1%
서 56
 
6.1%
진 56
 
6.1%
시 56
 
6.1%
별 56
 
6.1%
특 56
 
6.1%
Other values (52) 333
36.1%
Common
ValueCountFrequency (%)
283
39.6%
3 60
 
8.4%
) 56
 
7.8%
( 56
 
7.8%
, 50
 
7.0%
1 45
 
6.3%
2 35
 
4.9%
0 25
 
3.5%
4 22
 
3.1%
5 19
 
2.7%
Other values (5) 63
 
8.8%
Latin
ValueCountFrequency (%)
B 2
66.7%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 922
56.3%
ASCII 717
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
283
39.5%
3 60
 
8.4%
) 56
 
7.8%
( 56
 
7.8%
, 50
 
7.0%
1 45
 
6.3%
2 35
 
4.9%
0 25
 
3.5%
4 22
 
3.1%
5 19
 
2.6%
Other values (7) 66
 
9.2%
Hangul
ValueCountFrequency (%)
동 73
 
7.9%
구 66
 
7.2%
로 57
 
6.2%
광 57
 
6.2%
울 56
 
6.1%
서 56
 
6.1%
진 56
 
6.1%
시 56
 
6.1%
별 56
 
6.1%
특 56
 
6.1%
Other values (52) 333
36.1%

전화번호
Text

MISSING 

Distinct48
Distinct (%)100.0%
Missing8
Missing (%)14.3%
Memory size580.0 B
2023-12-12T19:15:27.656596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.208333
Min length11

Characters and Unicode

Total characters538
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

Unique48 ?
Unique (%)100.0%

Sample

1st row02-3437-1399
2nd row02-462-2879
3rd row02-465-5433
4th row02-499-8828
5th row02-514-2813
ValueCountFrequency (%)
02-3437-1399 1
 
2.1%
02-462-2879 1
 
2.1%
02-452-0994 1
 
2.1%
02-462-2809 1
 
2.1%
02-497-2804 1
 
2.1%
02-3437-8218 1
 
2.1%
02-464-2805 1
 
2.1%
02-462-2802 1
 
2.1%
02-498-5705 1
 
2.1%
02-457-2803 1
 
2.1%
Other values (38) 38
79.2%
2023-12-12T19:15:28.145802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 96
17.8%
2 95
17.7%
0 77
14.3%
4 70
13.0%
8 46
8.6%
6 31
 
5.8%
3 28
 
5.2%
5 28
 
5.2%
9 26
 
4.8%
7 25
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 442
82.2%
Dash Punctuation 96
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 95
21.5%
0 77
17.4%
4 70
15.8%
8 46
10.4%
6 31
 
7.0%
3 28
 
6.3%
5 28
 
6.3%
9 26
 
5.9%
7 25
 
5.7%
1 16
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 538
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 96
17.8%
2 95
17.7%
0 77
14.3%
4 70
13.0%
8 46
8.6%
6 31
 
5.8%
3 28
 
5.2%
5 28
 
5.2%
9 26
 
4.8%
7 25
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 538
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 96
17.8%
2 95
17.7%
0 77
14.3%
4 70
13.0%
8 46
8.6%
6 31
 
5.8%
3 28
 
5.2%
5 28
 
5.2%
9 26
 
4.8%
7 25
 
4.6%

Interactions

2023-12-12T19:15:25.205406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:15:28.281666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번치과기공소명소재지(도로명)전화번호
순번1.0001.0001.0001.000
치과기공소명1.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T19:15:25.356345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:15:25.475671image/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

순번치과기공소명소재지(도로명)전화번호
01에이비교정치과기공소서울특별시 광진구 천호대로113길 5, 201-2호 (중곡동)<NA>
12에이아이덴탈랩(Ai dental Lab)서울특별시 광진구 능동로49길 18, 2층 (중곡동)<NA>
23덴플러스치과기공소서울특별시 광진구 자양번영로 75, 한국타이어자양대리점 2층 (자양동)<NA>
34다온치과기공소서울특별시 광진구 뚝섬로 703-1, 2층 (자양동)02-3437-1399
45덴티크치과기공소서울특별시 광진구 능동로 337-1, 3층 B호 (중곡동)<NA>
56제오치과기공소서울특별시 광진구 동일로 88, 3층 (자양동)<NA>
67그레이트(Great) 치과기공소서울특별시 광진구 능동로 337-1, 3층 (중곡동)02-462-2879
78제니스덴탈서울특별시 광진구 능동로 351, 성학빌딩 6층 (중곡동)<NA>
89성신치과기공소서울특별시 광진구 동일로 86, 2층 (자양동)02-465-5433
910제이엠케이 덴탈랩서울특별시 광진구 능동로3길 54, 402호 (자양동)02-499-8828
순번치과기공소명소재지(도로명)전화번호
4647성현치과기공소서울특별시 광진구 능동로38길 31 (중곡동, 2층)02-447-9385
4748클로아치과기공소서울특별시 광진구 아차산로51길 74 (구의동, 2층)02-446-2812
4849수인치과기공소서울특별시 광진구 아차산로 324 (자양동)02-455-9076
4950삼일치과기공소서울특별시 광진구 자양로9길 45-1 (자양동)02-454-3100
5051포인트치과기공소서울특별시 광진구 면목로 120, 3층 303호 (중곡동)02-466-2871
5152다빈치과기공소서울특별시 광진구 면목로 26 (군자동)02-499-5642
5253최종환치과기공소서울특별시 광진구 아차산로55길 30 (구의동)02-3436-3333
5354거목치과기공소서울특별시 광진구 용마산로 10 (중곡동, 지하1층)02-456-8609
5455제이케이시앤파(JKC&PAR) 치과기공소서울특별시 광진구 아차산로30길 39 (자양동, 조양빌딩 3층)02-498-2828
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