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05 Data Visualization

Exercise for data visualization.

Explore statistics and relationships in data with the Data Explorer, Scatter Plot, and Table View nodes. Build an interactive view with a scatter plot and an interactive table.














Exercise: Data Explorer1) Read the telco-customer-churn.csv file by executing the CSV Reader node2) Inspect the properties of the data with the Data Explorer node- How many different Payment Methods are represented in the data? 43) In the interactive view, exclude the nominal columns that contain missing values- Which of the nominal columns contain missing values? None* How many missing values each? No missing valuesNote! The Data Explorer node is part of the KNIME JavaScript Views (Labs) Extension Exercise: Scatter Plot and Composite View1) Read the telco-customer-churn.csv file by executing the CSV Reader node2) Assign colors to the rows based on the phone and internet service3) Draw a bar chart of gender-based counts by phone and internet service4) Create an interactive table that displays the data. Use the Table View node.5) Encapsulate the Bar Chart and Table View nodes into a component. Open the component's interactive view. telco-customer-churn.csvinspect the propertiesof the datacolor by PhoneInternetServicetelco-customer-churn.csvcategorize phoneand internet serviceCSV Reader MISSING DataExplorer Color Manager CSV Reader Rule Engine Component Exercise: Data Explorer1) Read the telco-customer-churn.csv file by executing the CSV Reader node2) Inspect the properties of the data with the Data Explorer node- How many different Payment Methods are represented in the data? 43) In the interactive view, exclude the nominal columns that contain missing values- Which of the nominal columns contain missing values? None* How many missing values each? No missing valuesNote! The Data Explorer node is part of the KNIME JavaScript Views (Labs) Extension Exercise: Scatter Plot and Composite View1) Read the telco-customer-churn.csv file by executing the CSV Reader node2) Assign colors to the rows based on the phone and internet service3) Draw a bar chart of gender-based counts by phone and internet service4) Create an interactive table that displays the data. Use the Table View node.5) Encapsulate the Bar Chart and Table View nodes into a component. Open the component's interactive view. telco-customer-churn.csvinspect the propertiesof the datacolor by PhoneInternetServicetelco-customer-churn.csvcategorize phoneand internet serviceCSV Reader MISSING DataExplorer Color Manager CSV Reader Rule Engine Component

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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Created by: Maarit Laukkanen
Created at: 2020-04-20
On NodePit since: 2023-02-26
Last update: 2026-01-08
Created with KNIME version: v4.7.0
Tags: data explorerinteractive viewcomposite viewscatter plotdashboardtable view

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