Overview

Dataset statistics

Number of variables5
Number of observations37
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.6 KiB
Average record size in memory44.6 B

Variable types

Numeric1
Categorical3
Text1

Dataset

Description인천광역시 미추홀구 용현1.4동 제설함 현황에 대한 데이터로 관리부서, 전화번호, 주소 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15115509/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 19:26:23.099119
Analysis finished2023-12-12 19:26:23.472734
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19
Minimum1
Maximum37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size465.0 B
2023-12-13T04:26:23.537736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.8
Q110
median19
Q328
95-th percentile35.2
Maximum37
Range36
Interquartile range (IQR)18

Descriptive statistics

Standard deviation10.824355
Coefficient of variation (CV)0.56970291
Kurtosis-1.2
Mean19
Median Absolute Deviation (MAD)9
Skewness0
Sum703
Variance117.16667
MonotonicityStrictly increasing
2023-12-13T04:26:23.685372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
1 1
 
2.7%
29 1
 
2.7%
22 1
 
2.7%
23 1
 
2.7%
24 1
 
2.7%
25 1
 
2.7%
26 1
 
2.7%
27 1
 
2.7%
28 1
 
2.7%
30 1
 
2.7%
Other values (27) 27
73.0%
ValueCountFrequency (%)
1 1
2.7%
2 1
2.7%
3 1
2.7%
4 1
2.7%
5 1
2.7%
6 1
2.7%
7 1
2.7%
8 1
2.7%
9 1
2.7%
10 1
2.7%
ValueCountFrequency (%)
37 1
2.7%
36 1
2.7%
35 1
2.7%
34 1
2.7%
33 1
2.7%
32 1
2.7%
31 1
2.7%
30 1
2.7%
29 1
2.7%
28 1
2.7%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
제설함
37 

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 37
100.0%

Length

2023-12-13T04:26:23.826977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:26:23.921875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제설함 37
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
용현1_4동
37 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용현1_4동
2nd row용현1_4동
3rd row용현1_4동
4th row용현1_4동
5th row용현1_4동

Common Values

ValueCountFrequency (%)
용현1_4동 37
100.0%

Length

2023-12-13T04:26:24.051887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:26:24.175859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용현1_4동 37
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size428.0 B
032-728-6161
37 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row032-728-6161
2nd row032-728-6161
3rd row032-728-6161
4th row032-728-6161
5th row032-728-6161

Common Values

ValueCountFrequency (%)
032-728-6161 37
100.0%

Length

2023-12-13T04:26:24.290452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:26:24.401180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-728-6161 37
100.0%

도로명주소
Text

UNIQUE 

Distinct37
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size428.0 B
2023-12-13T04:26:24.611113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length23.297297
Min length18

Characters and Unicode

Total characters862
Distinct characters54
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 수봉남로 5번길 19
2nd row인천광역시 미추홀구 독정이로 16번길 38
3rd row인천광역시 미추홀구 독정이로 16번길 54
4th row인천광역시 미추홀구 수봉남로 29 앞
5th row인천광역시 미추홀구 수봉남로 17 앞
ValueCountFrequency (%)
인천광역시 37
19.9%
미추홀구 37
19.9%
수봉남로 9
 
4.8%
수봉로 5
 
2.7%
인주대로 5
 
2.7%
앞 4
 
2.2%
130번길 4
 
2.2%
인하로 4
 
2.2%
경인북길 4
 
2.2%
303번길 4
 
2.2%
Other values (57) 73
39.2%
2023-12-13T04:26:25.095682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
17.3%
인 51
 
5.9%
천 37
 
4.3%
광 37
 
4.3%
역 37
 
4.3%
시 37
 
4.3%
미 37
 
4.3%
추 37
 
4.3%
홀 37
 
4.3%
구 37
 
4.3%
Other values (44) 366
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 551
63.9%
Decimal Number 155
 
18.0%
Space Separator 149
 
17.3%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 51
 
9.3%
천 37
 
6.7%
광 37
 
6.7%
역 37
 
6.7%
시 37
 
6.7%
미 37
 
6.7%
추 37
 
6.7%
홀 37
 
6.7%
구 37
 
6.7%
길 35
 
6.4%
Other values (32) 169
30.7%
Decimal Number
ValueCountFrequency (%)
1 37
23.9%
3 23
14.8%
4 19
12.3%
6 14
 
9.0%
2 14
 
9.0%
8 13
 
8.4%
0 12
 
7.7%
7 12
 
7.7%
5 7
 
4.5%
9 4
 
2.6%
Space Separator
ValueCountFrequency (%)
149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 551
63.9%
Common 311
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 51
 
9.3%
천 37
 
6.7%
광 37
 
6.7%
역 37
 
6.7%
시 37
 
6.7%
미 37
 
6.7%
추 37
 
6.7%
홀 37
 
6.7%
구 37
 
6.7%
길 35
 
6.4%
Other values (32) 169
30.7%
Common
ValueCountFrequency (%)
149
47.9%
1 37
 
11.9%
3 23
 
7.4%
4 19
 
6.1%
6 14
 
4.5%
2 14
 
4.5%
8 13
 
4.2%
0 12
 
3.9%
7 12
 
3.9%
5 7
 
2.3%
Other values (2) 11
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 551
63.9%
ASCII 311
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
47.9%
1 37
 
11.9%
3 23
 
7.4%
4 19
 
6.1%
6 14
 
4.5%
2 14
 
4.5%
8 13
 
4.2%
0 12
 
3.9%
7 12
 
3.9%
5 7
 
2.3%
Other values (2) 11
 
3.5%
Hangul
ValueCountFrequency (%)
인 51
 
9.3%
천 37
 
6.7%
광 37
 
6.7%
역 37
 
6.7%
시 37
 
6.7%
미 37
 
6.7%
추 37
 
6.7%
홀 37
 
6.7%
구 37
 
6.7%
길 35
 
6.4%
Other values (32) 169
30.7%

Interactions

2023-12-13T04:26:23.213188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:26:25.190923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도로명주소
연번1.0001.000
도로명주소1.0001.000

Missing values

2023-12-13T04:26:23.330168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:26:23.436488image/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

연번구분관리부서전화번호도로명주소
01제설함용현1_4동032-728-6161인천광역시 미추홀구 수봉남로 5번길 19
12제설함용현1_4동032-728-6161인천광역시 미추홀구 독정이로 16번길 38
23제설함용현1_4동032-728-6161인천광역시 미추홀구 독정이로 16번길 54
34제설함용현1_4동032-728-6161인천광역시 미추홀구 수봉남로 29 앞
45제설함용현1_4동032-728-6161인천광역시 미추홀구 수봉남로 17 앞
56제설함용현1_4동032-728-6161인천광역시 미추홀구 인주대로 48앞 삼거리
67제설함용현1_4동032-728-6161인천광역시 미추홀구 인주대로 171번길 36앞 사거리
78제설함용현1_4동032-728-6161인천광역시 미추홀구 수봉남로 6번길 13
89제설함용현1_4동032-728-6161인천광역시 미추홀구 수봉남로 17번길 12
910제설함용현1_4동032-728-6161인천광역시 미추홀구 수봉남로 24
연번구분관리부서전화번호도로명주소
2728제설함용현1_4동032-728-6161인천광역시 미추홀구 인하로 134번길 31
2829제설함용현1_4동032-728-6161인천광역시 미추홀구 재넘이길 109
2930제설함용현1_4동032-728-6161인천광역시 미추홀구 한나루로 463번길 64
3031제설함용현1_4동032-728-6161인천광역시 미추홀구 용현동 46-1
3132제설함용현1_4동032-728-6161인천광역시 미추홀구 한나루로 463번길 75
3233제설함용현1_4동032-728-6161인천광역시 미추홀구 재넘이길 78
3334제설함용현1_4동032-728-6161인천광역시 미추홀구 인하로 164번길 13
3435제설함용현1_4동032-728-6161인천광역시 미추홀구 인하로 77번길 42
3536제설함용현1_4동032-728-6161인천광역시 미추홀구 인하로 77번길 48
3637제설함용현1_4동032-728-6161인천광역시 미추홀구 경인남길 144