Overview

Dataset statistics

Number of variables6
Number of observations94
Missing cells21
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory50.4 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description인천광역시 서구 안경업소 현황에 대한 정보입니다. 인천광역시 서구 에 위치한 안경업소의 업소명, 소재지, 지번, 도로명, 전화번호에 대한 정보가 포함되어 있습니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15038874/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
사업장소재지 has 2 (2.1%) missing valuesMissing
사업장소재지(도로명) has 3 (3.2%) missing valuesMissing
사업장전화번호 has 16 (17.0%) missing valuesMissing
순번 has unique valuesUnique
안경업소명칭 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:59:43.643527
Analysis finished2023-12-11 23:59:44.570961
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.5
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-12T08:59:44.645977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.65
Q124.25
median47.5
Q370.75
95-th percentile89.35
Maximum94
Range93
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation27.279418
Coefficient of variation (CV)0.57430354
Kurtosis-1.2
Mean47.5
Median Absolute Deviation (MAD)23.5
Skewness0
Sum4465
Variance744.16667
MonotonicityStrictly increasing
2023-12-12T08:59:44.790471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
61 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
Other values (84) 84
89.4%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%

안경업소명칭
Text

UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size884.0 B
2023-12-12T08:59:45.081753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length15
Mean length8.0531915
Min length4

Characters and Unicode

Total characters757
Distinct characters159
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

Unique94 ?
Unique (%)100.0%

Sample

1st row오렌즈 검단신도시점&스타옵틱
2nd row글라스타
3rd row글라스밤 루원시티점
4th row다비치안경 인천검단신도시점
5th row으뜸플러스청라호수공원점
ValueCountFrequency (%)
청라점 4
 
3.5%
으뜸50안경 3
 
2.6%
오렌즈 2
 
1.7%
인천청라점 2
 
1.7%
으뜸플러스안경 2
 
1.7%
루원시티점 2
 
1.7%
안경진정성 2
 
1.7%
아이피아 2
 
1.7%
다비치안경 2
 
1.7%
불로안경백화점 1
 
0.9%
Other values (93) 93
80.9%
2023-12-12T08:59:45.512630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
72
 
9.5%
72
 
9.5%
36
 
4.8%
28
 
3.7%
26
 
3.4%
22
 
2.9%
21
 
2.8%
20
 
2.6%
20
 
2.6%
0 13
 
1.7%
Other values (149) 427
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 648
85.6%
Lowercase Letter 27
 
3.6%
Decimal Number 26
 
3.4%
Space Separator 21
 
2.8%
Uppercase Letter 15
 
2.0%
Close Punctuation 9
 
1.2%
Open Punctuation 9
 
1.2%
Other Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
72
 
11.1%
72
 
11.1%
36
 
5.6%
28
 
4.3%
26
 
4.0%
22
 
3.4%
20
 
3.1%
20
 
3.1%
12
 
1.9%
11
 
1.7%
Other values (125) 329
50.8%
Uppercase Letter
ValueCountFrequency (%)
S 4
26.7%
E 2
13.3%
A 2
13.3%
O 1
 
6.7%
K 1
 
6.7%
Y 1
 
6.7%
R 1
 
6.7%
T 1
 
6.7%
L 1
 
6.7%
G 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
e 9
33.3%
n 6
22.2%
c 3
 
11.1%
l 3
 
11.1%
a 3
 
11.1%
h 3
 
11.1%
Decimal Number
ValueCountFrequency (%)
0 13
50.0%
1 10
38.5%
5 3
 
11.5%
Other Punctuation
ValueCountFrequency (%)
& 1
50.0%
? 1
50.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 648
85.6%
Common 67
 
8.9%
Latin 42
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
72
 
11.1%
72
 
11.1%
36
 
5.6%
28
 
4.3%
26
 
4.0%
22
 
3.4%
20
 
3.1%
20
 
3.1%
12
 
1.9%
11
 
1.7%
Other values (125) 329
50.8%
Latin
ValueCountFrequency (%)
e 9
21.4%
n 6
14.3%
S 4
9.5%
c 3
 
7.1%
l 3
 
7.1%
a 3
 
7.1%
h 3
 
7.1%
E 2
 
4.8%
A 2
 
4.8%
O 1
 
2.4%
Other values (6) 6
14.3%
Common
ValueCountFrequency (%)
21
31.3%
0 13
19.4%
1 10
14.9%
) 9
13.4%
( 9
13.4%
5 3
 
4.5%
& 1
 
1.5%
? 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 648
85.6%
ASCII 109
 
14.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
72
 
11.1%
72
 
11.1%
36
 
5.6%
28
 
4.3%
26
 
4.0%
22
 
3.4%
20
 
3.1%
20
 
3.1%
12
 
1.9%
11
 
1.7%
Other values (125) 329
50.8%
ASCII
ValueCountFrequency (%)
21
19.3%
0 13
11.9%
1 10
9.2%
) 9
8.3%
e 9
8.3%
( 9
8.3%
n 6
 
5.5%
S 4
 
3.7%
c 3
 
2.8%
l 3
 
2.8%
Other values (14) 22
20.2%

사업장소재지
Text

MISSING 

Distinct90
Distinct (%)97.8%
Missing2
Missing (%)2.1%
Memory size884.0 B
2023-12-12T08:59:45.795388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38.5
Mean length27.891304
Min length16

Characters and Unicode

Total characters2566
Distinct characters160
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)95.7%

Sample

1st row인천광역시 서구 원당동 1041-3 ABM타워
2nd row인천광역시 서구 가정동 0 루원지웰시티푸르지오
3rd row인천광역시 서구 가정동 0 루원시티 SK Leaders' VIEW 305동 B121호
4th row인천광역시 서구 원당동 0 금호헤리티지7
5th row인천광역시 서구 청라동 96-2
ValueCountFrequency (%)
인천광역시 92
 
16.8%
서구 92
 
16.8%
청라동 10
 
1.8%
가정동 10
 
1.8%
0 9
 
1.6%
마전동 9
 
1.6%
심곡동 8
 
1.5%
1호 8
 
1.5%
2호 8
 
1.5%
원당동 8
 
1.5%
Other values (204) 295
53.7%
2023-12-12T08:59:46.349116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
458
 
17.8%
1 150
 
5.8%
100
 
3.9%
97
 
3.8%
97
 
3.8%
95
 
3.7%
94
 
3.7%
94
 
3.7%
93
 
3.6%
92
 
3.6%
Other values (150) 1196
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1447
56.4%
Decimal Number 545
 
21.2%
Space Separator 458
 
17.8%
Uppercase Letter 41
 
1.6%
Other Punctuation 25
 
1.0%
Dash Punctuation 21
 
0.8%
Lowercase Letter 18
 
0.7%
Open Punctuation 5
 
0.2%
Close Punctuation 5
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
100
 
6.9%
97
 
6.7%
97
 
6.7%
95
 
6.6%
94
 
6.5%
94
 
6.5%
93
 
6.4%
92
 
6.4%
92
 
6.4%
65
 
4.5%
Other values (116) 528
36.5%
Uppercase Letter
ValueCountFrequency (%)
B 5
12.2%
S 5
12.2%
W 4
9.8%
E 4
9.8%
K 4
9.8%
I 4
9.8%
L 4
9.8%
V 4
9.8%
A 3
7.3%
M 2
 
4.9%
Other values (2) 2
 
4.9%
Decimal Number
ValueCountFrequency (%)
1 150
27.5%
0 80
14.7%
5 55
 
10.1%
2 55
 
10.1%
4 40
 
7.3%
3 38
 
7.0%
9 34
 
6.2%
6 32
 
5.9%
8 31
 
5.7%
7 30
 
5.5%
Lowercase Letter
ValueCountFrequency (%)
e 6
33.3%
s 3
16.7%
r 3
16.7%
a 3
16.7%
d 3
16.7%
Other Punctuation
ValueCountFrequency (%)
, 22
88.0%
' 3
 
12.0%
Space Separator
ValueCountFrequency (%)
458
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1447
56.4%
Common 1060
41.3%
Latin 59
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
100
 
6.9%
97
 
6.7%
97
 
6.7%
95
 
6.6%
94
 
6.5%
94
 
6.5%
93
 
6.4%
92
 
6.4%
92
 
6.4%
65
 
4.5%
Other values (116) 528
36.5%
Common
ValueCountFrequency (%)
458
43.2%
1 150
 
14.2%
0 80
 
7.5%
5 55
 
5.2%
2 55
 
5.2%
4 40
 
3.8%
3 38
 
3.6%
9 34
 
3.2%
6 32
 
3.0%
8 31
 
2.9%
Other values (7) 87
 
8.2%
Latin
ValueCountFrequency (%)
e 6
 
10.2%
B 5
 
8.5%
S 5
 
8.5%
W 4
 
6.8%
E 4
 
6.8%
K 4
 
6.8%
I 4
 
6.8%
L 4
 
6.8%
V 4
 
6.8%
s 3
 
5.1%
Other values (7) 16
27.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1447
56.4%
ASCII 1119
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
458
40.9%
1 150
 
13.4%
0 80
 
7.1%
5 55
 
4.9%
2 55
 
4.9%
4 40
 
3.6%
3 38
 
3.4%
9 34
 
3.0%
6 32
 
2.9%
8 31
 
2.8%
Other values (24) 146
 
13.0%
Hangul
ValueCountFrequency (%)
100
 
6.9%
97
 
6.7%
97
 
6.7%
95
 
6.6%
94
 
6.5%
94
 
6.5%
93
 
6.4%
92
 
6.4%
92
 
6.4%
65
 
4.5%
Other values (116) 528
36.5%
Distinct91
Distinct (%)100.0%
Missing3
Missing (%)3.2%
Memory size884.0 B
2023-12-12T08:59:46.683736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length45
Mean length34.021978
Min length21

Characters and Unicode

Total characters3096
Distinct characters188
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique91 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 이음대로 388, ABM타워 1층 114,115호 (원당동)
2nd row인천광역시 서구 가정로 406, A동 108,109호 (가정동, 루원지웰시티푸르지오)
3rd row인천광역시 서구 가정로 437, 305동 B1층 B121호 (가정동, 루원시티 SK Leaders' VIEW)
4th row인천광역시 서구 원당대로 1045, 금호헤리티지7 108, 205~207호 (원당동)
5th row인천광역시 서구 청라한내로 90, 209호 (청라동)
ValueCountFrequency (%)
인천광역시 91
 
14.7%
서구 91
 
14.7%
청라동 16
 
2.6%
가정로 13
 
2.1%
1층 11
 
1.8%
가정동 10
 
1.6%
심곡동 8
 
1.3%
원당동 8
 
1.3%
석남동 8
 
1.3%
마전동 8
 
1.3%
Other values (236) 354
57.3%
2023-12-12T08:59:47.264178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/