Overview

Dataset statistics

Number of variables5
Number of observations33
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory47.0 B

Variable types

Numeric3
Text2

Dataset

Description인천광역시 미추홀구에 영업신고된 전화권유판매업 현황에 대한 데이터로 연번, 상호명, 소재지주소, 위도, 경도 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15071220/fileData.do

Alerts

연번 has unique valuesUnique
상호명 has unique valuesUnique
소재지주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:24:52.610558
Analysis finished2023-12-12 17:24:53.874758
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17
Minimum1
Maximum33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T02:24:53.942283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.6
Q19
median17
Q325
95-th percentile31.4
Maximum33
Range32
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.6695398
Coefficient of variation (CV)0.56879646
Kurtosis-1.2
Mean17
Median Absolute Deviation (MAD)8
Skewness0
Sum561
Variance93.5
MonotonicityStrictly increasing
2023-12-13T02:24:54.097647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1 1
 
3.0%
26 1
 
3.0%
20 1
 
3.0%
21 1
 
3.0%
22 1
 
3.0%
23 1
 
3.0%
24 1
 
3.0%
25 1
 
3.0%
27 1
 
3.0%
2 1
 
3.0%
Other values (23) 23
69.7%
ValueCountFrequency (%)
1 1
3.0%
2 1
3.0%
3 1
3.0%
4 1
3.0%
5 1
3.0%
6 1
3.0%
7 1
3.0%
8 1
3.0%
9 1
3.0%
10 1
3.0%
ValueCountFrequency (%)
33 1
3.0%
32 1
3.0%
31 1
3.0%
30 1
3.0%
29 1
3.0%
28 1
3.0%
27 1
3.0%
26 1
3.0%
25 1
3.0%
24 1
3.0%

상호명
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:24:54.346352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length8
Min length3

Characters and Unicode

Total characters264
Distinct characters119
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

Unique33 ?
Unique (%)100.0%

Sample

1st row인뱅크
2nd row케이엔뷰주식회사
3rd row리치제이제이 주식회사
4th row청년 네트웍스
5th row케이티엠에스
ValueCountFrequency (%)
주식회사 7
 
15.9%
인뱅크 1
 
2.3%
행복네트웍스 1
 
2.3%
주)프렌즈네트웍스 1
 
2.3%
다인솔루션 1
 
2.3%
영공its 1
 
2.3%
프렌즈네트웍스 1
 
2.3%
gg네트웍스 1
 
2.3%
유비원 1
 
2.3%
비존(bzoon 1
 
2.3%
Other values (28) 28
63.6%
2023-12-13T02:24:54.732274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 16
 
6.1%
주 14
 
5.3%
스 11
 
4.2%
11
 
4.2%
) 9
 
3.4%
( 9
 
3.4%
사 9
 
3.4%
회 8
 
3.0%
식 8
 
3.0%
트 7
 
2.7%
Other values (109) 162
61.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 202
76.5%
Uppercase Letter 15
 
5.7%
Lowercase Letter 12
 
4.5%
Space Separator 11
 
4.2%
Close Punctuation 9
 
3.4%
Open Punctuation 9
 
3.4%
Decimal Number 6
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 16
 
7.9%
주 14
 
6.9%
스 11
 
5.4%
사 9
 
4.5%
회 8
 
4.0%
식 8
 
4.0%
트 7
 
3.5%
웍 6
 
3.0%
네 6
 
3.0%
에 4
 
2.0%
Other values (82) 113
55.9%
Uppercase Letter
ValueCountFrequency (%)
G 2
13.3%
T 2
13.3%
J 2
13.3%
Z 1
6.7%
B 1
6.7%
S 1
6.7%
I 1
6.7%
K 1
6.7%
A 1
6.7%
N 1
6.7%
Other values (2) 2
13.3%
Lowercase Letter
ValueCountFrequency (%)
o 3
25.0%
n 2
16.7%
e 1
 
8.3%
h 1
 
8.3%
c 1
 
8.3%
u 1
 
8.3%
t 1
 
8.3%
l 1
 
8.3%
a 1
 
8.3%
Decimal Number
ValueCountFrequency (%)
9 2
33.3%
6 2
33.3%
3 2
33.3%
Space Separator
ValueCountFrequency (%)
11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 202
76.5%
Common 35
 
13.3%
Latin 27
 
10.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 16
 
7.9%
주 14
 
6.9%
스 11
 
5.4%
사 9
 
4.5%
회 8
 
4.0%
식 8
 
4.0%
트 7
 
3.5%
웍 6
 
3.0%
네 6
 
3.0%
에 4
 
2.0%
Other values (82) 113
55.9%
Latin
ValueCountFrequency (%)
o 3
 
11.1%
G 2
 
7.4%
n 2
 
7.4%
T 2
 
7.4%
J 2
 
7.4%
Z 1
 
3.7%
B 1
 
3.7%
S 1
 
3.7%
I 1
 
3.7%
K 1
 
3.7%
Other values (11) 11
40.7%
Common
ValueCountFrequency (%)
11
31.4%
) 9
25.7%
( 9
25.7%
9 2
 
5.7%
6 2
 
5.7%
3 2
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 202
76.5%
ASCII 62
 
23.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 16
 
7.9%
주 14
 
6.9%
스 11
 
5.4%
사 9
 
4.5%
회 8
 
4.0%
식 8
 
4.0%
트 7
 
3.5%
웍 6
 
3.0%
네 6
 
3.0%
에 4
 
2.0%
Other values (82) 113
55.9%
ASCII
ValueCountFrequency (%)
11
17.7%
) 9
14.5%
( 9
14.5%
o 3
 
4.8%
9 2
 
3.2%
G 2
 
3.2%
n 2
 
3.2%
T 2
 
3.2%
6 2
 
3.2%
3 2
 
3.2%
Other values (17) 18
29.0%

소재지주소
Text

UNIQUE 

Distinct33
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size396.0 B
2023-12-13T02:24:55.073664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length43
Mean length36.757576
Min length24

Characters and Unicode

Total characters1213
Distinct characters97
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

Unique33 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 인주대로11번길 49 2층 (숭의동)
2nd row인천광역시 미추홀구 석바위로 58-1 영빌딩 5층 515호 (주안동)
3rd row인천광역시 미추홀구 주안로 116 전시문화빌딩 2층 (주안동)
4th row인천광역시 미추홀구 독배로473번길 3 501호 (숭의동 솔하임)
5th row인천광역시 미추홀구 주안중로 25 신성쇼핑 1102-1호 (주안동)
ValueCountFrequency (%)
인천광역시 33
 
14.3%
미추홀구 33
 
14.3%
주안동 27
 
11.7%
주안로 11
 
4.8%
3 4
 
1.7%
116 4
 
1.7%
108 3
 
1.3%
숭의동 3
 
1.3%
6층 3
 
1.3%
주안리가스퀘어 3
 
1.3%
Other values (93) 107
46.3%
2023-12-13T02:24:55.565007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
 
19.2%
주 52
 
4.3%
1 52
 
4.3%
안 47
 
3.9%
인 38
 
3.1%
미 36
 
3.0%
추 36
 
3.0%
홀 36
 
3.0%
동 35
 
2.9%
( 34
 
2.8%
Other values (87) 614
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 700
57.7%
Space Separator 233
 
19.2%
Decimal Number 207
 
17.1%
Open Punctuation 34
 
2.8%
Close Punctuation 34
 
2.8%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 52
 
7.4%
안 47
 
6.7%
인 38
 
5.4%
미 36
 
5.1%
추 36
 
5.1%
홀 36
 
5.1%
동 35
 
5.0%
시 34
 
4.9%
역 34
 
4.9%
천 33
 
4.7%
Other values (73) 319
45.6%
Decimal Number
ValueCountFrequency (%)
1 52
25.1%
0 25
12.1%
5 22
10.6%
2 22
10.6%
4 21
10.1%
6 20
 
9.7%
3 20
 
9.7%
7 10
 
4.8%
8 9
 
4.3%
9 6
 
2.9%
Space Separator
ValueCountFrequency (%)
233
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 700
57.7%
Common 513
42.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 52
 
7.4%
안 47
 
6.7%
인 38
 
5.4%
미 36
 
5.1%
추 36
 
5.1%
홀 36
 
5.1%
동 35
 
5.0%
시 34
 
4.9%
역 34
 
4.9%
천 33
 
4.7%
Other values (73) 319
45.6%
Common
ValueCountFrequency (%)
233
45.4%
1 52
 
10.1%
( 34
 
6.6%
) 34
 
6.6%
0 25
 
4.9%
5 22
 
4.3%
2 22
 
4.3%
4 21
 
4.1%
6 20
 
3.9%
3 20
 
3.9%
Other values (4) 30
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 700
57.7%
ASCII 513
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
45.4%
1 52
 
10.1%
( 34
 
6.6%
) 34
 
6.6%
0 25
 
4.9%
5 22
 
4.3%
2 22
 
4.3%
4 21
 
4.1%
6 20
 
3.9%
3 20
 
3.9%
Other values (4) 30
 
5.8%
Hangul
ValueCountFrequency (%)
주 52
 
7.4%
안 47
 
6.7%
인 38
 
5.4%
미 36
 
5.1%
추 36
 
5.1%
홀 36
 
5.1%
동 35
 
5.0%
시 34
 
4.9%
역 34
 
4.9%
천 33
 
4.7%
Other values (73) 319
45.6%

위도
Real number (ℝ)

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.460986
Minimum37.443654
Maximum37.470262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T02:24:55.731592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.443654
5-th percentile37.453162
Q137.460359
median37.46266
Q337.463661
95-th percentile37.464227
Maximum37.470262
Range0.026608332
Interquartile range (IQR)0.0033022319

Descriptive statistics

Standard deviation0.0048176075
Coefficient of variation (CV)0.00012860333
Kurtosis5.5744229
Mean37.460986
Median Absolute Deviation (MAD)0.0015662685
Skewness-1.9321804
Sum1236.2126
Variance2.3209342 × 10-5
MonotonicityNot monotonic
2023-12-13T02:24:55.917070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
37.463477279369 4
 
12.1%
37.4636607705384 3
 
9.1%
37.4642265423112 2
 
6.1%
37.462660273768 1
 
3.0%
37.4634563989355 1
 
3.0%
37.4599600226994 1
 
3.0%
37.4628247809968 1
 
3.0%
37.4578393373634 1
 
3.0%
37.4570398002568 1
 
3.0%
37.4642260970223 1
 
3.0%
Other values (17) 17
51.5%
ValueCountFrequency (%)
37.4436537339191 1
3.0%
37.4481462350889 1
3.0%
37.4565059428257 1
3.0%
37.4570398002568 1
3.0%
37.4571927222331 1
3.0%
37.4574042745911 1
3.0%
37.4578393373634 1
3.0%
37.4599600226994 1
3.0%
37.4603585386783 1
3.0%
37.4603920721703 1
3.0%
ValueCountFrequency (%)
37.4702620663047 1
 
3.0%
37.4642265423112 2
6.1%
37.4642260970223 1
 
3.0%
37.464006659227 1
 
3.0%
37.4638548428493 1
 
3.0%
37.4636607705384 3
9.1%
37.463477279369 4
12.1%
37.4634563989355 1
 
3.0%
37.4634110154807 1
 
3.0%
37.4628247809968 1
 
3.0%

경도
Real number (ℝ)

Distinct27
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.67727
Minimum126.64068
Maximum126.69363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size429.0 B
2023-12-13T02:24:56.091757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.64068
5-th percentile126.64401
Q1126.67809
median126.68173
Q3126.68258
95-th percentile126.69222
Maximum126.69363
Range0.052945737
Interquartile range (IQR)0.0044875201

Descriptive statistics

Standard deviation0.013826659
Coefficient of variation (CV)0.0001091487
Kurtosis2.2884063
Mean126.67727
Median Absolute Deviation (MAD)0.0031546841
Skewness-1.731753
Sum4180.3498
Variance0.00019117651
MonotonicityNot monotonic
2023-12-13T02:24:56.243816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
126.682519496276 4
 
12.1%
126.681732679136 3
 
9.1%
126.682580871242 2
 
6.1%
126.640682262109 1
 
3.0%
126.686986353444 1
 
3.0%
126.678093351128 1
 
3.0%
126.682960145623 1
 
3.0%
126.679094128332 1
 
3.0%
126.661216518306 1
 
3.0%
126.693574118991 1
 
3.0%
Other values (17) 17
51.5%
ValueCountFrequency (%)
126.640682262109 1
3.0%
126.640764032494 1
3.0%
126.646177576317 1
3.0%
126.649120152916 1
3.0%
126.661216518306 1
3.0%
126.672779925025 1
3.0%
126.675829546756 1
3.0%
126.677345206103 1
3.0%
126.678093351128 1
3.0%
126.678400599441 1
3.0%
ValueCountFrequency (%)
126.693627998992 1
 
3.0%
126.693574118991 1
 
3.0%
126.691317945754 1
 
3.0%
126.689137871359 1
 
3.0%
126.686986353444 1
 
3.0%
126.685761413573 1
 
3.0%
126.683770126253 1
 
3.0%
126.682960145623 1
 
3.0%
126.682580871242 2
6.1%
126.682519496276 4
12.1%

Interactions

2023-12-13T02:24:53.418609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:24:52.850979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:24:53.137252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:24:53.509518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:24:52.929197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:24:53.240249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:24:53.596023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:24:53.030563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:24:53.326902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:24:56.357831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명소재지주소위도경도
연번1.0001.0001.0000.4320.391
상호명1.0001.0001.0001.0001.000
소재지주소1.0001.0001.0001.0001.000
위도0.4321.0001.0001.0000.757
경도0.3911.0001.0000.7571.000
2023-12-13T02:24:56.494672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도
연번1.0000.2510.336
위도0.2511.0000.320
경도0.3360.3201.000

Missing values

2023-12-13T02:24:53.712271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:24:53.837120image/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

연번상호명소재지주소위도경도
01인뱅크인천광역시 미추홀구 인주대로11번길 49 2층 (숭의동)37.46266126.640682
12케이엔뷰주식회사인천광역시 미추홀구 석바위로 58-1 영빌딩 5층 515호 (주안동)37.460647126.67957
23리치제이제이 주식회사인천광역시 미추홀구 주안로 116 전시문화빌딩 2층 (주안동)37.463477126.682519
34청년 네트웍스인천광역시 미추홀구 독배로473번길 3 501호 (숭의동 솔하임)37.460454126.646178
45케이티엠에스인천광역시 미추홀구 주안중로 25 신성쇼핑 1102-1호 (주안동)37.460579126.682251
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