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Rahul_​chandola

Data Analysis

Calculate the statistical properties of the data set attributes.

Help to compare the relationship between different dimensions.

Help to compare numerical values like integers and percentages

>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>Visual of attributes.

Data Cleaning

Data Transformation

Data Visualisation

Data loading

Load one Sheet of Excel
Excel Reader
Load second Sheet of Excel
Excel Reader
Group by RetailSales People and sumTotal_sales
GroupBy
Join both the Sheet
Joiner
Statistics View
Bar Chart
Histogram
Pie Chart
CSV 4
CSV Writer
Group by Category and sumof sales
GroupBy
Sum of sale and categories
Pie Chart
Segment and sale
Scatter Plot
CSV 5
CSV Writer
Retail sale people and tot sale
Bar Chart
Total_sales
Math Formula
Column Filter
Sub- Category and sumCategory
Heatmap
Quantity count
Histogram
Group by Year andMonth, sum Tot_sales
GroupBy
Csv 1: Data with removal of missing value column
CSV Writer
Line chart ofTot_sales by Yearand Month
Line Plot
Table View
Converting the unwanted data into string like row id, postal code etc
Number to String
removing the missing value causes column as all the column is null
Column Filter
Rank Sub-Category bySum(Tot_sales)
Rank
Removing the column which has Missing Value
Missing Value Column Filter
CSV 2: Complete data which contain missing values
CSV Writer
Table View
Replacing Missing Value by sensible data
Missing Value
Group by Sub category and sumTotal_sales
GroupBy
Extracting Missing value data
Extract Missing Value Cause
Sort Sub-Category bySum(Tot_sales)descending
Sorter
Reducing the no. of column as I need to check how much total sale is done by individual Sale people
Column Filter
Checking the total sales
Math Formula
CSV 3: complete data after replacing the Missing values some condition, this file does't contain any missing value
CSV Writer
Box Plot
if sale is > 100 it will show Good work,, else "work on it"
Rule Engine

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Extensions

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