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NO CODE EXAM

 Exploratory Analysis (EDA)

DATA COLLECTION

DATA CLEANING

Transformation of data

visualization

importing cafe csv file
CSV Reader
used missing value node to check if there are any missing values in the data . Replaced the missing vales with fixed value(unknown) for items,quantity,payment method. for loaction used not specified and for transaction fixed value(no date)
Missing Value
used duplicate row filter for checking the duplicated in the dataset
Duplicate Row Filter
used this node to check the statitical view of the data
Statistics View
used this node to check bar chart of transaction date
Bar Chart
used this node to check bar chart of items
Bar Chart
used this node to check barchart of payment method
Bar Chart
used to check the numbers of items sold in day using the transaction date
Heatmap
used this node to check bar chart of location
Bar Chart
creating conditional logic like café popular category as “topsale/lowsale”
Rule Engine
used this node to check between the items and location
Heatmap
scatterplot of the data
Scatter Plot
used this node to remove the unwanted columns
Column Filter
create new column to calculate the sales by using ( quantity*price per unit )
Math Formula
bar chart of the data
Bar Chart

Nodes

Extensions

Links