Overview

Dataset statistics

Number of variables5
Number of observations100
Missing cells21
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.1 KiB
Average record size in memory42.3 B

Variable types

Numeric1
Text4

Dataset

Description인천광역시 미추홀구 원예 및 화훼업소에 관한 데이터이며 상호명, 지번주소, 도로명주소, 전화번호 등의 항목을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15087028&srcSe=7661IVAWM27C61E190

Alerts

전화번호 has 20 (20.0%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:45:52.832137
Analysis finished2024-03-18 04:45:55.251093
Duration2.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.5
Minimum1
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-03-18T13:45:55.318265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.95
Q125.75
median50.5
Q375.25
95-th percentile95.05
Maximum100
Range99
Interquartile range (IQR)49.5

Descriptive statistics

Standard deviation29.011492
Coefficient of variation (CV)0.57448499
Kurtosis-1.2
Mean50.5
Median Absolute Deviation (MAD)25
Skewness0
Sum5050
Variance841.66667
MonotonicityStrictly increasing
2024-03-18T13:45:55.431300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
65 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%

상호명
Text

Distinct99
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-03-18T13:45:55.610016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length6.82
Min length2

Characters and Unicode

Total characters682
Distinct characters177
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)98.0%

Sample

1st row인풀썬
2nd row미화우시
3rd row유노이아플라워
4th row앤플레르
5th row나비드플레르
ValueCountFrequency (%)
샤론플라워 2
 
1.7%
꽃이야기 2
 
1.7%
석바위지하상가점 2
 
1.7%
주안역지하상가점 2
 
1.7%
강북화원 1
 
0.9%
연꽃화원 1
 
0.9%
꽃창고 1
 
0.9%
민플라워 1
 
0.9%
주안로지하상가점 1
 
0.9%
꽃나라 1
 
0.9%
Other values (102) 102
87.9%
2024-03-18T13:45:55.959569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
꽃 52
 
7.6%
화 39
 
5.7%
플 33
 
4.8%
라 32
 
4.7%
워 27
 
4.0%
원 26
 
3.8%
장 21
 
3.1%
16
 
2.3%
인 16
 
2.3%
천 16
 
2.3%
Other values (167) 404
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 665
97.5%
Space Separator 16
 
2.3%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
꽃 52
 
7.8%
화 39
 
5.9%
플 33
 
5.0%
라 32
 
4.8%
워 27
 
4.1%
원 26
 
3.9%
장 21
 
3.2%
인 16
 
2.4%
천 16
 
2.4%
집 14
 
2.1%
Other values (165) 389
58.5%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 665
97.5%
Common 17
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
꽃 52
 
7.8%
화 39
 
5.9%
플 33
 
5.0%
라 32
 
4.8%
워 27
 
4.1%
원 26
 
3.9%
장 21
 
3.2%
인 16
 
2.4%
천 16
 
2.4%
집 14
 
2.1%
Other values (165) 389
58.5%
Common
ValueCountFrequency (%)
16
94.1%
& 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 665
97.5%
ASCII 17
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
꽃 52
 
7.8%
화 39
 
5.9%
플 33
 
5.0%
라 32
 
4.8%
워 27
 
4.1%
원 26
 
3.9%
장 21
 
3.2%
인 16
 
2.4%
천 16
 
2.4%
집 14
 
2.1%
Other values (165) 389
58.5%
ASCII
ValueCountFrequency (%)
16
94.1%
& 1
 
5.9%

지번주소
Text

Distinct91
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size932.0 B
2024-03-18T13:45:56.222359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length37
Mean length25.01
Min length18

Characters and Unicode

Total characters2501
Distinct characters132
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

Unique88 ?
Unique (%)88.0%

Sample

1st row인천광역시 미추홀구 숭의동 121-7 1층 106호
2nd row인천광역시 미추홀구 용현동 198-27 1층,미화우시
3rd row인천광역시 미추홀구 용현동 557-1 유원아파트 상가 103호
4th row인천광역시 미추홀구 주안동 466-23 미추홀포레나 아인애비뉴 상가 2층 2098호
5th row인천광역시 미추홀구 용현동 577-74 1층
ValueCountFrequency (%)
인천광역시 100
20.2%
미추홀구 100
20.2%
주안동 37
 
7.5%
1층 24
 
4.8%
용현동 21
 
4.2%
도화동 11
 
2.2%
학익동 11
 
2.2%
숭의동 10
 
2.0%
1250 6
 
1.2%
관교동 6
 
1.2%
Other values (149) 170
34.3%
2024-03-18T13:45:56.600497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
400
 
16.0%
1 145
 
5.8%
인 103
 
4.1%
역 103
 
4.1%
시 103
 
4.1%
동 103
 
4.1%
추 102
 
4.1%
구 102
 
4.1%
미 102
 
4.1%
홀 101
 
4.0%
Other values (122) 1137
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1466
58.6%
Decimal Number 541
 
21.6%
Space Separator 400
 
16.0%
Dash Punctuation 81
 
3.2%
Other Punctuation 8
 
0.3%
Uppercase Letter 3
 
0.1%
Math Symbol 1
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 103
 
7.0%
역 103
 
7.0%
시 103
 
7.0%
동 103
 
7.0%
추 102
 
7.0%
구 102
 
7.0%
미 102
 
7.0%
홀 101
 
6.9%
천 101
 
6.9%
광 100
 
6.8%
Other values (103) 446
30.4%
Decimal Number
ValueCountFrequency (%)
1 145
26.8%
2 67
12.4%
5 51
 
9.4%
6 50
 
9.2%
3 48
 
8.9%
8 43
 
7.9%
0 43
 
7.9%
4 41
 
7.6%
7 30
 
5.5%
9 23
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
G 1
33.3%
V 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
. 2
 
25.0%
Space Separator
ValueCountFrequency (%)
400
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
c 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1466
58.6%
Common 1031
41.2%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 103
 
7.0%
역 103
 
7.0%
시 103
 
7.0%
동 103
 
7.0%
추 102
 
7.0%
구 102
 
7.0%
미 102
 
7.0%
홀 101
 
6.9%
천 101
 
6.9%
광 100
 
6.8%
Other values (103) 446
30.4%
Common
ValueCountFrequency (%)
400
38.8%
1 145
 
14.1%
- 81
 
7.9%
2 67
 
6.5%
5 51
 
4.9%
6 50
 
4.8%
3 48
 
4.7%
8 43
 
4.2%
0 43
 
4.2%
4 41
 
4.0%
Other values (5) 62
 
6.0%
Latin
ValueCountFrequency (%)
C 1
25.0%
G 1
25.0%
V 1
25.0%
c 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1466
58.6%
ASCII 1035
41.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
400
38.6%
1 145
 
14.0%
- 81
 
7.8%
2 67
 
6.5%
5 51
 
4.9%
6 50
 
4.8%
3 48
 
4.6%
8 43
 
4.2%
0 43
 
4.2%
4 41
 
4.0%
Other values (9) 66
 
6.4%
Hangul
ValueCountFrequency (%)
인 103
 
7.0%
역 103
 
7.0%
시 103
 
7.0%
동 103
 
7.0%
추 102
 
7.0%
구 102
 
7.0%
미 102
 
7.0%
홀 101
 
6.9%
천 101
 
6.9%
광 100
 
6.8%
Other values (103) 446
30.4%

도로명주소
Text

Distinct89
Distinct (%)89.9%
Missing1
Missing (%)1.0%
Memory size932.0 B
2024-03-18T13:45:56.865615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length34
Mean length24.888889
Min length17

Characters and Unicode

Total characters2464
Distinct characters178
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

Unique85 ?
Unique (%)85.9%

Sample

1st row인천광역시 미추홀구 경인로 67 1층 106호
2nd row인천광역시 미추홀구 인하로67번길 5 1층,미화우시
3rd row인천광역시 미추홀구 낙섬중로 100 유원아파트 상가 103호
4th row인천광역시 미추홀구 경인로 372 미추홀포레나 아인애비뉴 상가 2층 2098호
5th row인천광역시 미추홀구 토금북로 45 1층
ValueCountFrequency (%)
인천광역시 99
19.5%
미추홀구 99
19.5%
1층 26
 
5.1%
인하로 11
 
2.2%
경인로 9
 
1.8%
석정로 7
 
1.4%
292 6
 
1.2%
101호 5
 
1.0%
주안로 5
 
1.0%
낙섬중로 4
 
0.8%
Other values (191) 237
46.7%
2024-03-18T13:45:57.268492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
409
 
16.6%
인 139
 
5.6%
홀 108
 
4.4%
미 105
 
4.3%
추 105
 
4.3%
시 104
 
4.2%
구 102
 
4.1%
역 102
 
4.1%
천 101
 
4.1%
광 99
 
4.0%
Other values (168) 1090
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1598
64.9%
Decimal Number 419
 
17.0%
Space Separator 409
 
16.6%
Dash Punctuation 16
 
0.6%
Uppercase Letter 11
 
0.4%
Other Punctuation 8
 
0.3%
Lowercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 139
 
8.7%
홀 108
 
6.8%
미 105
 
6.6%
추 105
 
6.6%
시 104
 
6.5%
구 102
 
6.4%
역 102
 
6.4%
천 101
 
6.3%
광 99
 
6.2%
로 97
 
6.1%
Other values (142) 536
33.5%
Decimal Number
ValueCountFrequency (%)
1 93
22.2%
2 56
13.4%
3 48
11.5%
0 39
9.3%
6 36
 
8.6%
4 34
 
8.1%
8 32
 
7.6%
7 32
 
7.6%
5 27
 
6.4%
9 22
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
V 2
18.2%
S 2
18.2%
B 1
9.1%
G 1
9.1%
C 1
9.1%
E 1
9.1%
W 1
9.1%
I 1
9.1%
K 1
9.1%
Lowercase Letter
ValueCountFrequency (%)
y 1
33.3%
k 1
33.3%
c 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 6
75.0%
. 2
 
25.0%
Space Separator
ValueCountFrequency (%)
409
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1598
64.9%
Common 852
34.6%
Latin 14
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 139
 
8.7%
홀 108
 
6.8%
미 105
 
6.6%
추 105
 
6.6%
시 104
 
6.5%
구 102
 
6.4%
역 102
 
6.4%
천 101
 
6.3%
광 99
 
6.2%
로 97
 
6.1%
Other values (142) 536
33.5%
Common
ValueCountFrequency (%)
409
48.0%
1 93
 
10.9%
2 56
 
6.6%
3 48
 
5.6%
0 39
 
4.6%
6 36
 
4.2%
4 34
 
4.0%
8 32
 
3.8%
7 32
 
3.8%
5 27
 
3.2%
Other values (4) 46
 
5.4%
Latin
ValueCountFrequency (%)
V 2
14.3%
S 2
14.3%
B 1
7.1%
G 1
7.1%
C 1
7.1%
E 1
7.1%
W 1
7.1%
I 1
7.1%
y 1
7.1%
k 1
7.1%
Other values (2) 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1598
64.9%
ASCII 866
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
409
47.2%
1 93
 
10.7%
2 56
 
6.5%
3 48
 
5.5%
0 39
 
4.5%
6 36
 
4.2%
4 34
 
3.9%
8 32
 
3.7%
7 32
 
3.7%
5 27
 
3.1%
Other values (16) 60
 
6.9%
Hangul
ValueCountFrequency (%)
인 139
 
8.7%
홀 108
 
6.8%
미 105
 
6.6%
추 105
 
6.6%
시 104
 
6.5%
구 102
 
6.4%
역 102
 
6.4%
천 101
 
6.3%
광 99
 
6.2%
로 97
 
6.1%
Other values (142) 536
33.5%

전화번호
Text

MISSING 

Distinct80
Distinct (%)100.0%
Missing20
Missing (%)20.0%
Memory size932.0 B
2024-03-18T13:45:57.487187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length12.9875
Min length12

Characters and Unicode

Total characters1039
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

Unique80 ?
Unique (%)100.0%

Sample

1st row0507-1433-8951
2nd row0507-1319-5393
3rd row0507-1341-7630
4th row0507-1412-0352
5th row0507-1372-0487
ValueCountFrequency (%)
032-883-5538 1
 
1.2%
0507-1341-7630 1
 
1.2%
0507-1316-9226 1
 
1.2%
0507-1477-3410 1
 
1.2%
032-421-2280 1
 
1.2%
032-425-3670 1
 
1.2%
032-887-4092 1
 
1.2%
032-428-4097 1
 
1.2%
0507-1409-5795 1
 
1.2%
070-8118-0608 1
 
1.2%
Other values (70) 70
87.5%
2024-03-18T13:45:57.827056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 175
16.8%
- 160
15.4%
3 130
12.5%
5 97
9.3%
2 92
8.9%
7 89
8.6%
8 80
7.7%
1 76
7.3%
6 56
 
5.4%
4 51
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 879
84.6%
Dash Punctuation 160
 
15.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 175
19.9%
3 130
14.8%
5 97
11.0%
2 92
10.5%
7 89
10.1%
8 80
9.1%
1 76
8.6%
6 56
 
6.4%
4 51
 
5.8%
9 33
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1039
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 175
16.8%
- 160
15.4%
3 130
12.5%
5 97
9.3%
2 92
8.9%
7 89
8.6%
8 80
7.7%
1 76
7.3%
6 56
 
5.4%
4 51
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1039
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 175
16.8%
- 160
15.4%
3 130
12.5%
5 97
9.3%
2 92
8.9%
7 89
8.6%
8 80
7.7%
1 76
7.3%
6 56
 
5.4%
4 51
 
4.9%

Interactions

2024-03-18T13:45:54.876579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:45:57.917933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상호명지번주소도로명주소전화번호
연번1.0001.0000.8180.8641.000
상호명1.0001.0000.9960.9961.000
지번주소0.8180.9961.0001.0001.000
도로명주소0.8640.9961.0001.0001.000
전화번호1.0001.0001.0001.0001.000

Missing values

2024-03-18T13:45:55.056584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:45:55.145263image/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.
2024-03-18T13:45:55.215387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번상호명지번주소도로명주소전화번호
01인풀썬인천광역시 미추홀구 숭의동 121-7 1층 106호인천광역시 미추홀구 경인로 67 1층 106호0507-1433-8951
12미화우시인천광역시 미추홀구 용현동 198-27 1층,미화우시인천광역시 미추홀구 인하로67번길 5 1층,미화우시0507-1319-5393
23유노이아플라워인천광역시 미추홀구 용현동 557-1 유원아파트 상가 103호인천광역시 미추홀구 낙섬중로 100 유원아파트 상가 103호0507-1341-7630
34앤플레르인천광역시 미추홀구 주안동 466-23 미추홀포레나 아인애비뉴 상가 2층 2098호인천광역시 미추홀구 경인로 372 미추홀포레나 아인애비뉴 상가 2층 2098호0507-1412-0352
45나비드플레르인천광역시 미추홀구 용현동 577-74 1층인천광역시 미추홀구 토금북로 45 1층0507-1372-0487
56앞뜰리에인천광역시 미추홀구 용현동 95-28 1층 앞뜰리에인천광역시 미추홀구 인하로105번길 28 1층 앞뜰리에032-765-4486
67메리골드인천광역시 미추홀구 주안동 231-11 주안역지하 8번출구 30, 31, 32호인천광역시 미추홀구 주안로 86 주안역지하 8번출구 30, 31, 32호032-433-3585
78언니네꽃시장인천광역시 미추홀구 숭의동 331-12 더스테이프라임월드 1층 101호 언니네꽃시장인천광역시 미추홀구 인주대로 51 더스테이프라임월드 1층 101호 언니네꽃시장0507-1333-5539
89온화스레인천광역시 미추홀구 주안동 1438-13 1층 온화스레인천광역시 미추홀구 미추홀대로575번길 48 1층 온화스레0507-1371-3643
910단아꽃인천광역시 미추홀구 숭의동 331-12 더스테이프라임월드 1층인천광역시 미추홀구 인주대로 51 더스테이프라임월드 1층0507-1415-2366
연번상호명지번주소도로명주소전화번호
9091꽃이야기 석바위지하상가점인천광역시 미추홀구 주안동 958 석바위지하상가 120인천광역시 미추홀구 경원대로 848 주안태흥프라자<NA>
9192썬꽃플라워인천광역시 미추홀구 용현동 558-25인천광역시 미추홀구 낙섬중로 88032-888-0701
9293서울화환이대목동병원인천광역시 미추홀구 주안동 1528-4인천광역시 미추홀구 인하로 3650506-720-2323
9394인천꽃집장례식장조화꽃화환인천광역시 미추홀구 주안동 1532-16인천광역시 미추홀구 인주대로470번길 12-360506-577-3690
9495장례식장화환조화꽃배달꽃집인천광역시 미추홀구 주안동 1250인천광역시 미추홀구 인하로 2920506-680-0820
9596해피플라위 석바위지하상가점인천광역시 미추홀구 주안동 245인천광역시 미추홀구 경원대로 848 주안태흥프라자<NA>
9697꽃순이화원인천광역시 미추홀구 주안동 25-12인천광역시 미추홀구 석정로 380-3032-864-9491
9798강남고속터미널꽃집인천광역시 미추홀구 도화동 188-5<NA><NA>
9899향기꽃화원인천광역시 미추홀구 주안동 486-41인천광역시 미추홀구 미추홀대로 639032-261-3730
99100인천성모꽃집청기와장례식장화환인천광역시 미추홀구 주안동 1528-4인천광역시 미추홀구 인하로 365032-813-2550