Overview

Dataset statistics

Number of variables6
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory52.3 B

Variable types

Numeric1
Categorical4
Text1

Dataset

Description인천광역시 미추홀구의 제설함 현황(숭의4동) 데이터로 연번,구분,관리부서, 도로명주소 등의 정보를 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15112487&srcSe=7661IVAWM27C61E190

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 started2024-03-18 05:20:42.410989
Analysis finished2024-03-18 05:20:43.903692
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2024-03-18T14:20:43.979354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2024-03-18T14:20:44.122626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
제설함
40 

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 40
100.0%

Length

2024-03-18T14:20:44.252096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:20:44.338639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제설함 40
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
숭의4동
40 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row숭의4동
2nd row숭의4동
3rd row숭의4동
4th row숭의4동
5th row숭의4동

Common Values

ValueCountFrequency (%)
숭의4동 40
100.0%

Length

2024-03-18T14:20:44.440231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:20:44.527068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
숭의4동 40
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
032-728-6147
40 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row032-728-6147
2nd row032-728-6147
3rd row032-728-6147
4th row032-728-6147
5th row032-728-6147

Common Values

ValueCountFrequency (%)
032-728-6147 40
100.0%

Length

2024-03-18T14:20:44.615347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:20:44.693245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-728-6147 40
100.0%

도로명주소
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-03-18T14:20:44.859003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length22.8
Min length17

Characters and Unicode

Total characters912
Distinct characters45
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

Unique40 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 경인로156번길 17 부근
2nd row인천광역시 미추홀구 경인로144번길 13-5 앞
3rd row인천광역시 미추홀구 수봉로33번길46
4th row인천광역시 미추홀구 수봉안길46번길 30
5th row인천광역시 미추홀구 수봉안길57번길 40
ValueCountFrequency (%)
인천광역시 40
25.0%
미추홀구 40
25.0%
인근 12
 
7.5%
부근 8
 
5.0%
17 2
 
1.2%
수봉로45번길 2
 
1.2%
수봉안길46번길 2
 
1.2%
30 2
 
1.2%
경인로116번길 1
 
0.6%
장천로112번길 1
 
0.6%
Other values (50) 50
31.2%
2024-03-18T14:20:45.178252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120
 
13.2%
인 60
 
6.6%
길 47
 
5.2%
천 42
 
4.6%
역 40
 
4.4%
광 40
 
4.4%
미 40
 
4.4%
추 40
 
4.4%
홀 40
 
4.4%
구 40
 
4.4%
Other values (35) 403
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 621
68.1%
Decimal Number 161
 
17.7%
Space Separator 120
 
13.2%
Dash Punctuation 6
 
0.7%
Open Punctuation 2
 
0.2%
Close Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 60
 
9.7%
길 47
 
7.6%
천 42
 
6.8%
역 40
 
6.4%
광 40
 
6.4%
미 40
 
6.4%
추 40
 
6.4%
홀 40
 
6.4%
구 40
 
6.4%
시 40
 
6.4%
Other values (21) 192
30.9%
Decimal Number
ValueCountFrequency (%)
1 25
15.5%
5 23
14.3%
3 19
11.8%
4 18
11.2%
6 16
9.9%
2 16
9.9%
7 15
9.3%
8 11
6.8%
0 10
 
6.2%
9 8
 
5.0%
Space Separator
ValueCountFrequency (%)
120
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 621
68.1%
Common 291
31.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 60
 
9.7%
길 47
 
7.6%
천 42
 
6.8%
역 40
 
6.4%
광 40
 
6.4%
미 40
 
6.4%
추 40
 
6.4%
홀 40
 
6.4%
구 40
 
6.4%
시 40
 
6.4%
Other values (21) 192
30.9%
Common
ValueCountFrequency (%)
120
41.2%
1 25
 
8.6%
5 23
 
7.9%
3 19
 
6.5%
4 18
 
6.2%
6 16
 
5.5%
2 16
 
5.5%
7 15
 
5.2%
8 11
 
3.8%
0 10
 
3.4%
Other values (4) 18
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 621
68.1%
ASCII 291
31.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
120
41.2%
1 25
 
8.6%
5 23
 
7.9%
3 19
 
6.5%
4 18
 
6.2%
6 16
 
5.5%
2 16
 
5.5%
7 15
 
5.2%
8 11
 
3.8%
0 10
 
3.4%
Other values (4) 18
 
6.2%
Hangul
ValueCountFrequency (%)
인 60
 
9.7%
길 47
 
7.6%
천 42
 
6.8%
역 40
 
6.4%
광 40
 
6.4%
미 40
 
6.4%
추 40
 
6.4%
홀 40
 
6.4%
구 40
 
6.4%
시 40
 
6.4%
Other values (21) 192
30.9%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
염화칼슘 5포, 막삽 1개
40 

Length

Max length14
Median length14
Mean length14
Min length14

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row염화칼슘 5포, 막삽 1개
2nd row염화칼슘 5포, 막삽 1개
3rd row염화칼슘 5포, 막삽 1개
4th row염화칼슘 5포, 막삽 1개
5th row염화칼슘 5포, 막삽 1개

Common Values

ValueCountFrequency (%)
염화칼슘 5포, 막삽 1개 40
100.0%

Length

2024-03-18T14:20:45.307482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T14:20:45.433517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
염화칼슘 40
25.0%
5포 40
25.0%
막삽 40
25.0%
1개 40
25.0%

Interactions

2024-03-18T14:20:43.564780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T14:20:45.518910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도로명주소
연번1.0001.000
도로명주소1.0001.000

Missing values

2024-03-18T14:20:43.734792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T14:20:43.850462image/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
01제설함숭의4동032-728-6147인천광역시 미추홀구 경인로156번길 17 부근염화칼슘 5포, 막삽 1개
12제설함숭의4동032-728-6147인천광역시 미추홀구 경인로144번길 13-5 앞염화칼슘 5포, 막삽 1개
23제설함숭의4동032-728-6147인천광역시 미추홀구 수봉로33번길46염화칼슘 5포, 막삽 1개
34제설함숭의4동032-728-6147인천광역시 미추홀구 수봉안길46번길 30염화칼슘 5포, 막삽 1개
45제설함숭의4동032-728-6147인천광역시 미추홀구 수봉안길57번길 40염화칼슘 5포, 막삽 1개
56제설함숭의4동032-728-6147인천광역시 미추홀구 수봉안길33번길 80염화칼슘 5포, 막삽 1개
67제설함숭의4동032-728-6147인천광역시 미추홀구 수봉로45번길 70염화칼슘 5포, 막삽 1개
78제설함숭의4동032-728-6147인천광역시 미추홀구 수봉안길65 부근염화칼슘 5포, 막삽 1개
89제설함숭의4동032-728-6147인천광역시 미추홀구 수봉안길46번길 33염화칼슘 5포, 막삽 1개
910제설함숭의4동032-728-6147인천광역시 미추홀구 수봉로45번길 56부근염화칼슘 5포, 막삽 1개
연번구분관리부서전화번호도로명주소비고
3031제설함숭의4동032-728-6147인천광역시 미추홀구 독정이로54번길 46 인근염화칼슘 5포, 막삽 1개
3132제설함숭의4동032-728-6147인천광역시 미추홀구 독정안길94번길32 인근염화칼슘 5포, 막삽 1개
3233제설함숭의4동032-728-6147인천광역시 미추홀구 독정안길97번길27 인근염화칼슘 5포, 막삽 1개
3334제설함숭의4동032-728-6147인천광역시 미추홀구 독정이로97번길18 인근염화칼슘 5포, 막삽 1개
3435제설함숭의4동032-728-6147인천광역시 미추홀구 참빛어린이집(독정이로54번길 24) 인근염화칼슘 5포, 막삽 1개
3536제설함숭의4동032-728-6147인천광역시 미추홀구 경인로116번길70 인근염화칼슘 5포, 막삽 1개
3637제설함숭의4동032-728-6147인천광역시 미추홀구 경인로70번길24 인근염화칼슘 5포, 막삽 1개
3738제설함숭의4동032-728-6147인천광역시 미추홀구 독정이로100번길5 인근염화칼슘 5포, 막삽 1개
3839제설함숭의4동032-728-6147인천광역시 미추홀구 경인로98번길3-22염화칼슘 5포, 막삽 1개
3940제설함숭의4동032-728-6147인천광역시 미추홀구 경인로156번길32염화칼슘 5포, 막삽 1개