Overview

Dataset statistics

Number of variables5
Number of observations35
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory44.8 B

Variable types

Numeric1
Categorical3
Text1

Dataset

Description인천광역시 미추홀구 학익1동 제설함 현황에 대한 데이터로 관리부서, 전화번호, 주소 등의 데이터를 제공하고 있습니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15115515&srcSe=7661IVAWM27C61E190

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 started2024-01-28 07:47:34.274403
Analysis finished2024-01-28 07:47:34.633688
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2024-01-28T16:47:34.685630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2024-01-28T16:47:34.796503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
제설함
35 

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 35
100.0%

Length

2024-01-28T16:47:34.915809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:47:34.992926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제설함 35
100.0%

관리부서
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
학익1동
35 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row학익1동
2nd row학익1동
3rd row학익1동
4th row학익1동
5th row학익1동

Common Values

ValueCountFrequency (%)
학익1동 35
100.0%

Length

2024-01-28T16:47:35.078774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:47:35.155609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
학익1동 35
100.0%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
032-728-6246
35 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row032-728-6246
2nd row032-728-6246
3rd row032-728-6246
4th row032-728-6246
5th row032-728-6246

Common Values

ValueCountFrequency (%)
032-728-6246 35
100.0%

Length

2024-01-28T16:47:35.548194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:47:35.626093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-728-6246 35
100.0%

도로명주소
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2024-01-28T16:47:35.796365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length23.628571
Min length18

Characters and Unicode

Total characters827
Distinct characters38
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

Unique35 ?
Unique (%)100.0%

Sample

1st row인천광역시 미추홀구 학익동 713-1
2nd row인천광역시 미추홀구 한나루로357번길 165
3rd row인천광역시 미추홀구 한나루로357번길 131
4th row인천광역시 미추홀구 한나루로357번길 105-19
5th row인천광역시 미추홀구 한나루로357번길 87-19
ValueCountFrequency (%)
인천광역시 35
24.8%
미추홀구 35
24.8%
한나루로357번길 7
 
5.0%
학익동 3
 
2.1%
매소홀로428번길 3
 
2.1%
한나루로341번길 3
 
2.1%
매소홀로418번길 3
 
2.1%
햇골길1번길 2
 
1.4%
27 2
 
1.4%
매소홀로446번길 2
 
1.4%
Other values (44) 46
32.6%
2024-01-28T16:47:36.088438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
125
 
15.1%
홀 46
 
5.6%
인 35
 
4.2%
천 35
 
4.2%
광 35
 
4.2%
역 35
 
4.2%
시 35
 
4.2%
미 35
 
4.2%
추 35
 
4.2%
구 35
 
4.2%
Other values (28) 376
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
60.7%
Decimal Number 183
 
22.1%
Space Separator 125
 
15.1%
Dash Punctuation 17
 
2.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홀 46
 
9.2%
인 35
 
7.0%
천 35
 
7.0%
광 35
 
7.0%
역 35
 
7.0%
시 35
 
7.0%
미 35
 
7.0%
추 35
 
7.0%
구 35
 
7.0%
길 34
 
6.8%
Other values (16) 142
28.3%
Decimal Number
ValueCountFrequency (%)
1 31
16.9%
4 25
13.7%
3 25
13.7%
5 22
12.0%
2 21
11.5%
8 17
9.3%
6 17
9.3%
7 14
7.7%
9 6
 
3.3%
0 5
 
2.7%
Space Separator
ValueCountFrequency (%)
125
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
60.7%
Common 325
39.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홀 46
 
9.2%
인 35
 
7.0%
천 35
 
7.0%
광 35
 
7.0%
역 35
 
7.0%
시 35
 
7.0%
미 35
 
7.0%
추 35
 
7.0%
구 35
 
7.0%
길 34
 
6.8%
Other values (16) 142
28.3%
Common
ValueCountFrequency (%)
125
38.5%
1 31
 
9.5%
4 25
 
7.7%
3 25
 
7.7%
5 22
 
6.8%
2 21
 
6.5%
8 17
 
5.2%
- 17
 
5.2%
6 17
 
5.2%
7 14
 
4.3%
Other values (2) 11
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
60.7%
ASCII 325
39.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
125
38.5%
1 31
 
9.5%
4 25
 
7.7%
3 25
 
7.7%
5 22
 
6.8%
2 21
 
6.5%
8 17
 
5.2%
- 17
 
5.2%
6 17
 
5.2%
7 14
 
4.3%
Other values (2) 11
 
3.4%
Hangul
ValueCountFrequency (%)
홀 46
 
9.2%
인 35
 
7.0%
천 35
 
7.0%
광 35
 
7.0%
역 35
 
7.0%
시 35
 
7.0%
미 35
 
7.0%
추 35
 
7.0%
구 35
 
7.0%
길 34
 
6.8%
Other values (16) 142
28.3%

Interactions

2024-01-28T16:47:34.374980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:47:36.171841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번도로명주소
연번1.0001.000
도로명주소1.0001.000

Missing values

2024-01-28T16:47:34.501298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:47:34.603333image/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
01제설함학익1동032-728-6246인천광역시 미추홀구 학익동 713-1
12제설함학익1동032-728-6246인천광역시 미추홀구 한나루로357번길 165
23제설함학익1동032-728-6246인천광역시 미추홀구 한나루로357번길 131
34제설함학익1동032-728-6246인천광역시 미추홀구 한나루로357번길 105-19
45제설함학익1동032-728-6246인천광역시 미추홀구 한나루로357번길 87-19
56제설함학익1동032-728-6246인천광역시 미추홀구 노적산로 66-61
67제설함학익1동032-728-6246인천광역시 미추홀구 한나루로357번길 63-38
78제설함학익1동032-728-6246인천광역시 미추홀구 한나루로357번길 63-19
89제설함학익1동032-728-6246인천광역시 미추홀구 한나루로341번길 38
910제설함학익1동032-728-6246인천광역시 미추홀구 한나루로357번길 5-58
연번구분관리부서전화번호도로명주소
2526제설함학익1동032-728-6246인천광역시 미추홀구 소성로256번길 8
2627제설함학익1동032-728-6246인천광역시 미추홀구 소성로256번길 15
2728제설함학익1동032-728-6246인천광역시 미추홀구 학익동 산 57-9
2829제설함학익1동032-728-6246인천광역시 미추홀구 햇골길1번길 3-105
2930제설함학익1동032-728-6246인천광역시 미추홀구 햇골길49번길 22
3031제설함학익1동032-728-6246인천광역시 미추홀구 햇골길49번길 40
3132제설함학익1동032-728-6246인천광역시 미추홀구 햇골길1번길 43-24
3233제설함학익1동032-728-6246인천광역시 미추홀구 학익동 686-11
3334제설함학익1동032-728-6246인천광역시 미추홀구 매소홀로428번길 27
3435제설함학익1동032-728-6246인천광역시 미추홀구 소성로 260