Overview

Dataset statistics

Number of variables5
Number of observations128
Missing cells128
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory44.0 B

Variable types

Numeric2
Categorical1
Unsupported1
DateTime1

Dataset

Description서울특별시 금천구의 구정답변정보 입니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/15064377/fileData.do

Alerts

회의종류 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위원회종류 has 128 (100.0%) missing valuesMissing
위원회종류 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 10:45:21.320842
Analysis finished2023-12-12 10:45:22.070903
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회기
Real number (ℝ)

Distinct50
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.58594
Minimum72
Maximum223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T19:45:22.152435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72
5-th percentile80
Q1110
median147
Q3189
95-th percentile216
Maximum223
Range151
Interquartile range (IQR)79

Descriptive statistics

Standard deviation44.644444
Coefficient of variation (CV)0.30249796
Kurtosis-1.1644485
Mean147.58594
Median Absolute Deviation (MAD)37
Skewness0.0046449735
Sum18891
Variance1993.1264
MonotonicityIncreasing
2023-12-12T19:45:22.322340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
147 3
 
2.3%
170 3
 
2.3%
164 3
 
2.3%
160 3
 
2.3%
184 3
 
2.3%
155 3
 
2.3%
152 3
 
2.3%
189 3
 
2.3%
75 3
 
2.3%
145 3
 
2.3%
Other values (40) 98
76.6%
ValueCountFrequency (%)
72 2
1.6%
75 3
2.3%
78 1
 
0.8%
80 3
2.3%
82 2
1.6%
84 2
1.6%
86 2
1.6%
89 3
2.3%
91 2
1.6%
93 2
1.6%
ValueCountFrequency (%)
223 3
2.3%
219 3
2.3%
216 3
2.3%
212 3
2.3%
210 3
2.3%
204 3
2.3%
202 3
2.3%
198 3
2.3%
195 3
2.3%
191 3
2.3%

회의종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
본회의
128 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본회의 128
100.0%

Length

2023-12-12T19:45:22.513962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:45:22.647952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본회의 128
100.0%

위원회종류
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing128
Missing (%)100.0%
Memory size1.3 KiB

차수
Real number (ℝ)

Distinct6
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1640625
Minimum2
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T19:45:22.750770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median3
Q34
95-th percentile5
Maximum7
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.0482632
Coefficient of variation (CV)0.33130295
Kurtosis0.82314552
Mean3.1640625
Median Absolute Deviation (MAD)1
Skewness0.83155648
Sum405
Variance1.0988558
MonotonicityNot monotonic
2023-12-12T19:45:22.868105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
3 42
32.8%
2 40
31.2%
4 36
28.1%
5 6
 
4.7%
6 3
 
2.3%
7 1
 
0.8%
ValueCountFrequency (%)
2 40
31.2%
3 42
32.8%
4 36
28.1%
5 6
 
4.7%
6 3
 
2.3%
7 1
 
0.8%
ValueCountFrequency (%)
7 1
 
0.8%
6 3
 
2.3%
5 6
 
4.7%
4 36
28.1%
3 42
32.8%
2 40
31.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2020-09-02 00:00:00
Maximum2020-09-02 00:00:00
2023-12-12T19:45:22.981905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:23.100927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T19:45:21.646615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:21.411717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:21.752094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:21.534186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T19:45:23.180954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회기차수
회기1.0000.000
차수0.0001.000
2023-12-12T19:45:23.277742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회기차수
회기1.000-0.229
차수-0.2291.000

Missing values

2023-12-12T19:45:21.888371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:45:22.021502image/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

회기회의종류위원회종류차수데이터기준일자
072본회의<NA>32020-09-02
172본회의<NA>42020-09-02
275본회의<NA>52020-09-02
375본회의<NA>62020-09-02
475본회의<NA>72020-09-02
578본회의<NA>42020-09-02
680본회의<NA>22020-09-02
780본회의<NA>32020-09-02
880본회의<NA>42020-09-02
982본회의<NA>22020-09-02
회기회의종류위원회종류차수데이터기준일자
118212본회의<NA>42020-09-02
119216본회의<NA>22020-09-02
120216본회의<NA>32020-09-02
121216본회의<NA>42020-09-02
122219본회의<NA>22020-09-02
123219본회의<NA>32020-09-02
124219본회의<NA>42020-09-02
125223본회의<NA>22020-09-02
126223본회의<NA>32020-09-02
127223본회의<NA>42020-09-02