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08_​Visualization

Visualization

Exercise 8 for the KNIME Analytics Platform for Data Wranglers course
- Visualize the customer data using a scatter plot, a stacked area chart, and a bar chart
- Produce an interactive table using the Table View node
- Define a custom color for the data to plot
- Combine the visualizations into a composite view



Exercise 8: Data VisualizationIn this exercise you generate interactive views to visualize data, add a slider to filter the data, and change the colors in the graphs. At the end youcombine the graphs into an interactive composite view. 1a) Use the data from first output port and assign a color to the customers based on their newsletter subscription1b) Build a scatter plot to show the relationship between the total purchase amount in the year 2019 and in the years before1c) (optional) Create an interactive range slider to filter the data shown in the scatter plot by the birth year of a customer 2) Visualize the customer data in an interactive table (Table View node) 3) Create a stacked area chart to show the development of the total purchase amount over time for each transaction type 4a) (optional) Convert the values in the column basket size from integer to string for the data of the lowest output port4b) (optional) Build a bar chart to show the number of products per order for the different transaction types 5) (optional) Change the colors of the bars and the stacked areas 5.1 Extract the column headers from the middle or bottom output of the metanode 5.2 Transpose the table with the column headers 5.3 Assign your preferred colors to the transaction types in the resulting "ColumnHeader" column 5.4 Use the colored table as the optional input for the Bar Chart and Stacked AreaChart nodes Top: Data aggregated by customer IDMiddle: Data aggregated by year, quarter, and typeBottom: Data aggregated by basket size and type Transform andaggregate data Read joined andpreprocessed data Exercise 8: Data VisualizationIn this exercise you generate interactive views to visualize data, add a slider to filter the data, and change the colors in the graphs. At the end youcombine the graphs into an interactive composite view. 1a) Use the data from first output port and assign a color to the customers based on their newsletter subscription1b) Build a scatter plot to show the relationship between the total purchase amount in the year 2019 and in the years before1c) (optional) Create an interactive range slider to filter the data shown in the scatter plot by the birth year of a customer 2) Visualize the customer data in an interactive table (Table View node) 3) Create a stacked area chart to show the development of the total purchase amount over time for each transaction type 4a) (optional) Convert the values in the column basket size from integer to string for the data of the lowest output port4b) (optional) Build a bar chart to show the number of products per order for the different transaction types 5) (optional) Change the colors of the bars and the stacked areas 5.1 Extract the column headers from the middle or bottom output of the metanode 5.2 Transpose the table with the column headers 5.3 Assign your preferred colors to the transaction types in the resulting "ColumnHeader" column 5.4 Use the colored table as the optional input for the Bar Chart and Stacked AreaChart nodes Top: Data aggregated by customer IDMiddle: Data aggregated by year, quarter, and typeBottom: Data aggregated by basket size and type Transform andaggregate data Read joined andpreprocessed data

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Created by: Maarit Laukkanen
Created at: 2019-10-18
On NodePit since: 2021-11-16
Last update: 2024-12-17
Created with KNIME version: v4.4.1
Tags: visualizationexplorationbar chartstacked area chartdata vizcolor managercomponenteducation

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