Overview

Dataset statistics

Number of variables5
Number of observations111
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory42.2 B

Variable types

Numeric1
Categorical1
Text3

Dataset

Description태안군에 소재한 미용업(번호, 미용업종명, 미용업소명, 업소소재지(도로명), 전화번호)에 관한 데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=446&beforeMenuCd=DOM_000000201001001000&publicdatapk=15006944

Alerts

번호 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 번호High correlation
번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:18:43.117065
Analysis finished2024-01-09 20:18:43.571880
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct111
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56
Minimum1
Maximum111
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2024-01-10T05:18:43.630884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.5
Q128.5
median56
Q383.5
95-th percentile105.5
Maximum111
Range110
Interquartile range (IQR)55

Descriptive statistics

Standard deviation32.186954
Coefficient of variation (CV)0.57476703
Kurtosis-1.2
Mean56
Median Absolute Deviation (MAD)28
Skewness0
Sum6216
Variance1036
MonotonicityStrictly increasing
2024-01-10T05:18:43.747840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.9%
2 1
 
0.9%
83 1
 
0.9%
82 1
 
0.9%
81 1
 
0.9%
80 1
 
0.9%
79 1
 
0.9%
78 1
 
0.9%
77 1
 
0.9%
76 1
 
0.9%
Other values (101) 101
91.0%
ValueCountFrequency (%)
1 1
0.9%
2 1
0.9%
3 1
0.9%
4 1
0.9%
5 1
0.9%
6 1
0.9%
7 1
0.9%
8 1
0.9%
9 1
0.9%
10 1
0.9%
ValueCountFrequency (%)
111 1
0.9%
110 1
0.9%
109 1
0.9%
108 1
0.9%
107 1
0.9%
106 1
0.9%
105 1
0.9%
104 1
0.9%
103 1
0.9%
102 1
0.9%

업종명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size1020.0 B
미용업
74 
미용업(일반)
22 
미용업(피부)
11 
미용업(종합)
 
4

Length

Max length7
Median length3
Mean length4.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row미용업
2nd row미용업
3rd row미용업
4th row미용업
5th row미용업

Common Values

ValueCountFrequency (%)
미용업 74
66.7%
미용업(일반) 22
 
19.8%
미용업(피부) 11
 
9.9%
미용업(종합) 4
 
3.6%

Length

2024-01-10T05:18:43.860105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:18:43.955006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미용업 74
66.7%
미용업(일반 22
 
19.8%
미용업(피부 11
 
9.9%
미용업(종합 4
 
3.6%

업소명
Text

Distinct108
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-01-10T05:18:44.187173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.3243243
Min length2

Characters and Unicode

Total characters591
Distinct characters183
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)94.6%

Sample

1st row대지미용실
2nd row코스모스미용실
3rd row서울미용실
4th row중앙헤어숍
5th row보라미용실
ValueCountFrequency (%)
서울미용실 2
 
1.8%
댕기머리 2
 
1.8%
현대미용실 2
 
1.8%
뷰티미용실 1
 
0.9%
행운미용실 1
 
0.9%
김미선헤어렉스 1
 
0.9%
예티헤어 1
 
0.9%
월수금머리하는날 1
 
0.9%
가위소리 1
 
0.9%
스타일헤어샵 1
 
0.9%
Other values (100) 100
88.5%
2024-01-10T05:18:44.562198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
미 51
 
8.6%
용 45
 
7.6%
실 45
 
7.6%
어 35
 
5.9%
헤 32
 
5.4%
리 21
 
3.6%
스 15
 
2.5%
머 14
 
2.4%
샵 12
 
2.0%
아 10
 
1.7%
Other values (173) 311
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 578
97.8%
Lowercase Letter 5
 
0.8%
Other Punctuation 3
 
0.5%
Space Separator 2
 
0.3%
Uppercase Letter 2
 
0.3%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
미 51
 
8.8%
용 45
 
7.8%
실 45
 
7.8%
어 35
 
6.1%
헤 32
 
5.5%
리 21
 
3.6%
스 15
 
2.6%
머 14
 
2.4%
샵 12
 
2.1%
아 10
 
1.7%
Other values (162) 298
51.6%
Lowercase Letter
ValueCountFrequency (%)
i 1
20.0%
a 1
20.0%
r 1
20.0%
e 1
20.0%
h 1
20.0%
Other Punctuation
ValueCountFrequency (%)
& 2
66.7%
? 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
T 1
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 578
97.8%
Latin 7
 
1.2%
Common 6
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
미 51
 
8.8%
용 45
 
7.8%
실 45
 
7.8%
어 35
 
6.1%
헤 32
 
5.5%
리 21
 
3.6%
스 15
 
2.6%
머 14
 
2.4%
샵 12
 
2.1%
아 10
 
1.7%
Other values (162) 298
51.6%
Latin
ValueCountFrequency (%)
i 1
14.3%
a 1
14.3%
H 1
14.3%
r 1
14.3%
e 1
14.3%
h 1
14.3%
T 1
14.3%
Common
ValueCountFrequency (%)
& 2
33.3%
2
33.3%
- 1
16.7%
? 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 578
97.8%
ASCII 13
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
미 51
 
8.8%
용 45
 
7.8%
실 45
 
7.8%
어 35
 
6.1%
헤 32
 
5.5%
리 21
 
3.6%
스 15
 
2.6%
머 14
 
2.4%
샵 12
 
2.1%
아 10
 
1.7%
Other values (162) 298
51.6%
ASCII
ValueCountFrequency (%)
& 2
15.4%
2
15.4%
i 1
7.7%
- 1
7.7%
? 1
7.7%
a 1
7.7%
H 1
7.7%
r 1
7.7%
e 1
7.7%
h 1
7.7%

업소 소재지(도로명)
Text

Distinct110
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-01-10T05:18:44.848289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length20.972973
Min length18

Characters and Unicode

Total characters2328
Distinct characters68
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)98.2%

Sample

1st row충청남도 태안군 태안읍 경이정1길 26
2nd row충청남도 태안군 태안읍 시장2길 39-11
3rd row충청남도 태안군 원북면 상리길 15-4
4th row충청남도 태안군 태안읍 독샘로 40
5th row충청남도 태안군 안면읍 장터로 114-5
ValueCountFrequency (%)
충청남도 111
19.5%
태안군 111
19.5%
태안읍 85
15.0%
중앙로 21
 
3.7%
안면읍 16
 
2.8%
장터로 15
 
2.6%
독샘로 12
 
2.1%
1층 6
 
1.1%
환동로 6
 
1.1%
경이정1길 6
 
1.1%
Other values (136) 179
31.5%
2024-01-10T05:18:45.224264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
457
19.6%
안 213
 
9.1%
태 196
 
8.4%
군 116
 
5.0%
청 116
 
5.0%
남 115
 
4.9%
도 112
 
4.8%
충 111
 
4.8%
읍 101
 
4.3%
1 99
 
4.3%
Other values (58) 692
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1466
63.0%
Space Separator 457
 
19.6%
Decimal Number 352
 
15.1%
Dash Punctuation 41
 
1.8%
Other Punctuation 11
 
0.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 213
14.5%
태 196
13.4%
군 116
7.9%
청 116
7.9%
남 115
7.8%
도 112
7.6%
충 111
7.6%
읍 101
 
6.9%
로 67
 
4.6%
길 44
 
3.0%
Other values (44) 275
18.8%
Decimal Number
ValueCountFrequency (%)
1 99
28.1%
2 51
14.5%
4 44
12.5%
3 38
 
10.8%
5 24
 
6.8%
7 23
 
6.5%
6 21
 
6.0%
0 20
 
5.7%
9 17
 
4.8%
8 15
 
4.3%
Space Separator
ValueCountFrequency (%)
457
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1466
63.0%
Common 862
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 213
14.5%
태 196
13.4%
군 116
7.9%
청 116
7.9%
남 115
7.8%
도 112
7.6%
충 111
7.6%
읍 101
 
6.9%
로 67
 
4.6%
길 44
 
3.0%
Other values (44) 275
18.8%
Common
ValueCountFrequency (%)
457
53.0%
1 99
 
11.5%
2 51
 
5.9%
4 44
 
5.1%
- 41
 
4.8%
3 38
 
4.4%
5 24
 
2.8%
7 23
 
2.7%
6 21
 
2.4%
0 20
 
2.3%
Other values (4) 44
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1466
63.0%
ASCII 862
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
457
53.0%
1 99
 
11.5%
2 51
 
5.9%
4 44
 
5.1%
- 41
 
4.8%
3 38
 
4.4%
5 24
 
2.8%
7 23
 
2.7%
6 21
 
2.4%
0 20
 
2.3%
Other values (4) 44
 
5.1%
Hangul
ValueCountFrequency (%)
안 213
14.5%
태 196
13.4%
군 116
7.9%
청 116
7.9%
남 115
7.8%
도 112
7.6%
충 111
7.6%
읍 101
 
6.9%
로 67
 
4.6%
길 44
 
3.0%
Other values (44) 275
18.8%

전화번호
Text

Distinct110
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1020.0 B
2024-01-10T05:18:45.416897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1332
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

Unique109 ?
Unique (%)98.2%

Sample

1st row041-674-2177
2nd row041-674-4500
3rd row041-672-5089
4th row041-674-2223
5th row041-674-2343
ValueCountFrequency (%)
041-674-0565 2
 
1.8%
041-672-0509 1
 
0.9%
041-673-4411 1
 
0.9%
041-675-0962 1
 
0.9%
041-675-9223 1
 
0.9%
041-674-3613 1
 
0.9%
041-675-5917 1
 
0.9%
041-674-4483 1
 
0.9%
041-675-7373 1
 
0.9%
041-674-0977 1
 
0.9%
Other values (100) 100
90.1%
2024-01-10T05:18:45.701844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 222
16.7%
4 177
13.3%
0 161
12.1%
6 154
11.6%
1 153
11.5%
7 147
11.0%
5 93
7.0%
2 74
 
5.6%
3 64
 
4.8%
8 47
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1110
83.3%
Dash Punctuation 222
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 177
15.9%
0 161
14.5%
6 154
13.9%
1 153
13.8%
7 147
13.2%
5 93
8.4%
2 74
6.7%
3 64
 
5.8%
8 47
 
4.2%
9 40
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 222
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1332
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 222
16.7%
4 177
13.3%
0 161
12.1%
6 154
11.6%
1 153
11.5%
7 147
11.0%
5 93
7.0%
2 74
 
5.6%
3 64
 
4.8%
8 47
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1332
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 222
16.7%
4 177
13.3%
0 161
12.1%
6 154
11.6%
1 153
11.5%
7 147
11.0%
5 93
7.0%
2 74
 
5.6%
3 64
 
4.8%
8 47
 
3.5%

Interactions

2024-01-10T05:18:43.318187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T05:18:45.784043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종명
번호1.0000.858
업종명0.8581.000
2024-01-10T05:18:45.849436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호업종명
번호1.0000.690
업종명0.6901.000

Missing values

2024-01-10T05:18:43.441453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:18:43.541579image/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

번호업종명업소명업소 소재지(도로명)전화번호
01미용업대지미용실충청남도 태안군 태안읍 경이정1길 26041-674-2177
12미용업코스모스미용실충청남도 태안군 태안읍 시장2길 39-11041-674-4500
23미용업서울미용실충청남도 태안군 원북면 상리길 15-4041-672-5089
34미용업중앙헤어숍충청남도 태안군 태안읍 독샘로 40041-674-2223
45미용업보라미용실충청남도 태안군 안면읍 장터로 114-5041-674-2343
56미용업가고파미용실충청남도 태안군 남면 남면로 93041-673-1915
67미용업소망미용실충청남도 태안군 태안읍 능샘2길 40, 1층041-674-3439
78미용업쎄븐미용실충청남도 태안군 안면읍 장터로 116-1041-673-4320
89미용업현대미용실충청남도 태안군 태안읍 시장2길 19-6041-674-3886
910미용업새미용실충청남도 태안군 태안읍 중앙로 94-16041-672-1583
번호업종명업소명업소 소재지(도로명)전화번호
101102미용업(피부)태안비치피부관리?충청남도 태안군 근흥면 마도길 116041-675-5454
102103미용업(피부)차밍충청남도 태안군 태안읍 경이정1길 17041-675-5936
103104미용업(피부)피부사랑충청남도 태안군 태안읍 정주내1길 43, 101호041-675-7898
104105미용업(피부)김도연꿀피부충청남도 태안군 태안읍 중앙로 91, 202호041-672-1174
105106미용업(피부)아름다운피부세상충청남도 태안군 태안읍 동문1길 62, 2층041-674-8240
106107미용업(피부)나무그늘아래충청남도 태안군 태안읍 중앙로 62041-675-2253
107108미용업(종합)동문미용실충청남도 태안군 태안읍 중앙로 152041-674-5547
108109미용업(종합)까까머리충청남도 태안군 태안읍 독샘로 27-4041-675-5852
109110미용업(종합)준-네일 & 스킨샵충청남도 태안군 태안읍 대지길 6041-675-4189
110111미용업(종합)리안헤어충청남도 태안군 태안읍 중앙로 72041-674-0565