Overview

Dataset statistics

Number of variables5
Number of observations170
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory42.8 B

Variable types

Numeric1
Categorical4

Dataset

Description공사는 노인 및 장애인 등 법률서비스 접근이 어려운 계층을 대상으로 무료법률상담을 진행하고 있는데, 이에 대한 상담제공 횟수 등 운영 현황 정보
URLhttps://www.data.go.kr/data/15112710/fileData.do

Alerts

상담년도 has constant value ""Constant
상담대상 is highly imbalanced (80.9%)Imbalance
상담방식 is highly imbalanced (65.4%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 02:01:58.111290
Analysis finished2023-12-12 02:01:58.649817
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.5
Minimum1
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T11:01:58.745394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.45
Q143.25
median85.5
Q3127.75
95-th percentile161.55
Maximum170
Range169
Interquartile range (IQR)84.5

Descriptive statistics

Standard deviation49.218899
Coefficient of variation (CV)0.57565964
Kurtosis-1.2
Mean85.5
Median Absolute Deviation (MAD)42.5
Skewness0
Sum14535
Variance2422.5
MonotonicityStrictly increasing
2023-12-12T11:01:58.931371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
118 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
Other values (160) 160
94.1%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
170 1
0.6%
169 1
0.6%
168 1
0.6%
167 1
0.6%
166 1
0.6%
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%

상담년도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2022
170 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 170
100.0%

Length

2023-12-12T11:01:59.127161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:01:59.252297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 170
100.0%

상담대상
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
노인
165 
장애인
 
5

Length

Max length3
Median length2
Mean length2.0294118
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row노인
2nd row장애인
3rd row노인
4th row노인
5th row노인

Common Values

ValueCountFrequency (%)
노인 165
97.1%
장애인 5
 
2.9%

Length

2023-12-12T11:01:59.391063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:01:59.516085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인 165
97.1%
장애인 5
 
2.9%

상담유형
Categorical

Distinct11
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
상속증여
41 
세금등기타
29 
부동산
21 
매매임대
19 
가족관계
15 
Other values (6)
45 

Length

Max length5
Median length4
Mean length4.0470588
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row회생파산
2nd row채무관계
3rd row세금등기타
4th row부동산
5th row채권추심

Common Values

ValueCountFrequency (%)
상속증여 41
24.1%
세금등기타 29
17.1%
부동산 21
12.4%
매매임대 19
11.2%
가족관계 15
 
8.8%
채무관계 12
 
7.1%
채권추심 12
 
7.1%
사적거래 8
 
4.7%
고소고발 6
 
3.5%
손해배상 4
 
2.4%

Length

2023-12-12T11:01:59.658120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상속증여 41
24.1%
세금등기타 29
17.1%
부동산 21
12.4%
매매임대 19
11.2%
가족관계 15
 
8.8%
채무관계 12
 
7.1%
채권추심 12
 
7.1%
사적거래 8
 
4.7%
고소고발 6
 
3.5%
손해배상 4
 
2.4%

상담방식
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
비대면
159 
대면
 
11

Length

Max length3
Median length3
Mean length2.9352941
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
비대면 159
93.5%
대면 11
 
6.5%

Length

2023-12-12T11:01:59.803158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:01:59.919035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
비대면 159
93.5%
대면 11
 
6.5%

Interactions

2023-12-12T11:01:58.313764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T11:01:59.994414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상담대상상담유형상담방식
연번1.0000.2150.0000.448
상담대상0.2151.0000.1340.000
상담유형0.0000.1341.0000.000
상담방식0.4480.0000.0001.000
2023-12-12T11:02:00.102307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상담대상상담방식상담유형
상담대상1.0000.0000.124
상담방식0.0001.0000.000
상담유형0.1240.0001.000
2023-12-12T11:02:00.215160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번상담대상상담유형상담방식
연번1.0000.1600.0000.336
상담대상0.1601.0000.1240.000
상담유형0.0000.1241.0000.000
상담방식0.3360.0000.0001.000

Missing values

2023-12-12T11:01:58.479320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:01:58.599939image/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

연번상담년도상담대상상담유형상담방식
012022노인회생파산비대면
122022장애인채무관계비대면
232022노인세금등기타비대면
342022노인부동산비대면
452022노인채권추심비대면
562022노인세금등기타비대면
672022노인상속증여비대면
782022장애인고소고발비대면
892022노인채권추심비대면
9102022노인세금등기타비대면
연번상담년도상담대상상담유형상담방식
1601612022노인부동산비대면
1611622022노인부동산비대면
1621632022노인상속증여비대면
1631642022노인상속증여비대면
1641652022노인고소고발비대면
1651662022노인채권추심비대면
1661672022노인상속증여비대면
1671682022노인매매임대비대면
1681692022노인세금등기타비대면
1691702022노인세금등기타비대면