Overview

Dataset statistics

Number of variables6
Number of observations31
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory53.3 B

Variable types

Numeric1
Categorical4
Text1

Dataset

Description인천광역시 미추홀구의 제설함 현황(주안8동)에 대한 데이터로 관리부서,전화번호,도로명주소 등의 정보를 제공하고 있습니다
Author인천광역시 미추홀구
URLhttps://www.data.go.kr/data/15112624/fileData.do

Alerts

구분 has constant value ""Constant
관리부서 has constant value ""Constant
전화번호 has constant value ""Constant
비고 has constant value ""Constant
연번 has unique valuesUnique
도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:26:24.481401
Analysis finished2023-12-12 09:26:25.102347
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size411.0 B
2023-12-12T18:26:25.195521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.5
Q18.5
median16
Q323.5
95-th percentile29.5
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.0921211
Coefficient of variation (CV)0.56825757
Kurtosis-1.2
Mean16
Median Absolute Deviation (MAD)8
Skewness0
Sum496
Variance82.666667
MonotonicityStrictly increasing
2023-12-12T18:26:25.358775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 1
 
3.2%
2 1
 
3.2%
31 1
 
3.2%
30 1
 
3.2%
29 1
 
3.2%
28 1
 
3.2%
27 1
 
3.2%
26 1
 
3.2%
25 1
 
3.2%
24 1
 
3.2%
Other values (21) 21
67.7%
ValueCountFrequency (%)
1 1
3.2%
2 1
3.2%
3 1
3.2%
4 1
3.2%
5 1
3.2%
6 1
3.2%
7 1
3.2%
8 1
3.2%
9 1
3.2%
10 1
3.2%
ValueCountFrequency (%)
31 1
3.2%
30 1
3.2%
29 1
3.2%
28 1
3.2%
27 1
3.2%
26 1
3.2%
25 1
3.2%
24 1
3.2%
23 1
3.2%
22 1
3.2%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
제설함
31 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제설함 31
100.0%

Length

2023-12-12T18:26:25.545902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:26:25.704390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제설함 31
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
주안8동
31 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주안8동
2nd row주안8동
3rd row주안8동
4th row주안8동
5th row주안8동

Common Values

ValueCountFrequency (%)
주안8동 31
100.0%

Length

2023-12-12T18:26:25.830908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:26:25.979303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주안8동 31
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
032-728-6467
31 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row032-728-6467
2nd row032-728-6467
3rd row032-728-6467
4th row032-728-6467
5th row032-728-6467

Common Values

ValueCountFrequency (%)
032-728-6467 31
100.0%

Length

2023-12-12T18:26:26.105883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:26:26.251045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-728-6467 31
100.0%

도로명주소
Text

UNIQUE 

Distinct31
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size380.0 B
2023-12-12T18:26:26.569486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length31.16129
Min length24

Characters and Unicode

Total characters966
Distinct characters135
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 인하로 393 광해빌딩 옆
2nd row인천광역시 미추홀구 인하로 381 행운부동산 옆
3rd row인천광역시 미추홀구 경원대로728번길 10-5 한성빌라 옆
4th row인천광역시 미추홀구 경원대로 726 라인스빌 옆
5th row인천광역시 미추홀구 인하로367번길 8 로얄에코빌 앞
ValueCountFrequency (%)
인천광역시 31
 
15.7%
미추홀구 31
 
15.7%
앞 16
 
8.1%
옆 8
 
4.0%
주승로 4
 
2.0%
인하로330번길 4
 
2.0%
뒤 3
 
1.5%
승학길76번길 3
 
1.5%
인하로 3
 
1.5%
맞은편 3
 
1.5%
Other values (82) 92
46.5%
2023-12-12T18:26:27.132713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
 
17.3%
인 54
 
5.6%
3 35
 
3.6%
광 33
 
3.4%
1 33
 
3.4%
구 33
 
3.4%
미 32
 
3.3%
홀 31
 
3.2%
천 31
 
3.2%
추 31
 
3.2%
Other values (125) 486
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 629
65.1%
Space Separator 167
 
17.3%
Decimal Number 153
 
15.8%
Dash Punctuation 11
 
1.1%
Uppercase Letter 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 54
 
8.6%
광 33
 
5.2%
구 33
 
5.2%
미 32
 
5.1%
홀 31
 
4.9%
천 31
 
4.9%
추 31
 
4.9%
시 31
 
4.9%
역 31
 
4.9%
로 29
 
4.6%
Other values (109) 293
46.6%
Decimal Number
ValueCountFrequency (%)
3 35
22.9%
1 33
21.6%
2 17
11.1%
0 14
 
9.2%
9 12
 
7.8%
6 10
 
6.5%
5 9
 
5.9%
8 9
 
5.9%
7 8
 
5.2%
4 6
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
S 2
33.3%
G 2
33.3%
B 1
16.7%
A 1
16.7%
Space Separator
ValueCountFrequency (%)
167
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 629
65.1%
Common 331
34.3%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 54
 
8.6%
광 33
 
5.2%
구 33
 
5.2%
미 32
 
5.1%
홀 31
 
4.9%
천 31
 
4.9%
추 31
 
4.9%
시 31
 
4.9%
역 31
 
4.9%
로 29
 
4.6%
Other values (109) 293
46.6%
Common
ValueCountFrequency (%)
167
50.5%
3 35
 
10.6%
1 33
 
10.0%
2 17
 
5.1%
0 14
 
4.2%
9 12
 
3.6%
- 11
 
3.3%
6 10
 
3.0%
5 9
 
2.7%
8 9
 
2.7%
Other values (2) 14
 
4.2%
Latin
ValueCountFrequency (%)
S 2
33.3%
G 2
33.3%
B 1
16.7%
A 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 629
65.1%
ASCII 337
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
167
49.6%
3 35
 
10.4%
1 33
 
9.8%
2 17
 
5.0%
0 14
 
4.2%
9 12
 
3.6%
- 11
 
3.3%
6 10
 
3.0%
5 9
 
2.7%
8 9
 
2.7%
Other values (6) 20
 
5.9%
Hangul
ValueCountFrequency (%)
인 54
 
8.6%
광 33
 
5.2%
구 33
 
5.2%
미 32
 
5.1%
홀 31
 
4.9%
천 31
 
4.9%
추 31
 
4.9%
시 31
 
4.9%
역 31
 
4.9%
로 29
 
4.6%
Other values (109) 293
46.6%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size380.0 B
염화칼슘 2포
31 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row염화칼슘 2포
2nd row염화칼슘 2포
3rd row염화칼슘 2포
4th row염화칼슘 2포
5th row염화칼슘 2포

Common Values

ValueCountFrequency (%)
염화칼슘 2포 31
100.0%

Length

2023-12-12T18:26:27.337651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:26:27.494969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
염화칼슘 31
50.0%
2포 31
50.0%

Interactions

2023-12-12T18:26:24.677011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:26:27.577859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도로명주소
연번1.0001.000
도로명주소1.0001.000

Missing values

2023-12-12T18:26:24.863280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:26:25.039051image/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

연번구분관리부서전화번호도로명주소비고
01제설함주안8동032-728-6467인천광역시 미추홀구 인하로 393 광해빌딩 옆염화칼슘 2포
12제설함주안8동032-728-6467인천광역시 미추홀구 인하로 381 행운부동산 옆염화칼슘 2포
23제설함주안8동032-728-6467인천광역시 미추홀구 경원대로728번길 10-5 한성빌라 옆염화칼슘 2포
34제설함주안8동032-728-6467인천광역시 미추홀구 경원대로 726 라인스빌 옆염화칼슘 2포
45제설함주안8동032-728-6467인천광역시 미추홀구 인하로367번길 8 로얄에코빌 앞염화칼슘 2포
56제설함주안8동032-728-6467인천광역시 미추홀구 인하로351번길 2 뼈다귀전문점 앞염화칼슘 2포
67제설함주안8동032-728-6467인천광역시 미추홀구 인하로339번길 10-34 범승포인트빌 2동 앞염화칼슘 2포
78제설함주안8동032-728-6467인천광역시 미추홀구 인하로339번길 7 한마음씨티빌 2동 옆염화칼슘 2포
89제설함주안8동032-728-6467인천광역시 미추홀구 인하로339번길 21 남양하이츠빌라 앞염화칼슘 2포
910제설함주안8동032-728-6467인천광역시 미추홀구 인하로329번길 10-3 영운아트빌염화칼슘 2포
연번구분관리부서전화번호도로명주소비고
2122제설함주안8동032-728-6467인천광역시 미추홀구 주승로 129 주안해피타운 뒤염화칼슘 2포
2223제설함주안8동032-728-6467인천광역시 미추홀구 주승로 119-1 리치홈타운 B동 옆염화칼슘 2포
2324제설함주안8동032-728-6467인천광역시 미추홀구 인하로318번길 38 앞염화칼슘 2포
2425제설함주안8동032-728-6467인천광역시 미추홀구 인하로318번길 11-16 금호골든빌 2차 앞염화칼슘 2포
2526제설함주안8동032-728-6467인천광역시 미추홀구 주승로96번길 7 주안한신휴플러스 상가 앞염화칼슘 2포
2627제설함주안8동032-728-6467인천광역시 미추홀구 승학길76번길 39-26 승학산 둘레길 입구염화칼슘 2포
2728제설함주안8동032-728-6467인천광역시 미추홀구 승학길76번길 40 춘자카페 앞염화칼슘 2포
2829제설함주안8동032-728-6467인천광역시 미추홀구 승학길76번길 52-1 앞염화칼슘 2포
2930제설함주안8동032-728-6467인천광역시 미추홀구 주승로 110 GS25 주안에쉐르점 앞염화칼슘 2포
3031제설함주안8동032-728-6467인천광역시 미추홀구 인하로 308 카젠 주안점 뒤 자율방범대 초소 옆염화칼슘 2포