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Guide to Sample Data Sets

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Guide to Sample Data Sets

You can start getting familiar with Watson Analytics by using the sample data sets provided in this community. These data sets have all been tested with Watson Analytics, and are the basis for many of the Watson Analytics demonstrations and videos. A description of each is below.

To use these data sets:

  1. Download a file from the links below.
  2. Log in to Watson Analytics.
  3. On the Watson Analytics Home page, tap New data to browse and select the data file.


WA_Fn UseC_ Sales Win Loss.csv
Understand your sales pipeline and uncover what can lead to successful sales opportunities and better anticipate performance gaps.

WA_Retail Sales&Marketing_ Profit&Cost.csv
Review product-related information like Cost, Revenue, Price, etc. across Years and Ordering Method. This dataset could be used to create a multi-tabbed dashboard in Watson Analytics using the Assemble feature. This dataset could also be used in the Explore feature to better understand the hidden trends & patterns.


WA_Fn UseC_ Marketing Campaign Eff UseC_ FastF.csv
Quickly analyze test market campaigns based on responses, revenue and other key metrics. Predict who will respond to which campaign by which channel and why. Increase the likelihood of responses and quality of leads in future campaigns.

WA_Fn UseC_ Marketing Campaign Plan_ GroceryS.csv
Using this dataset around Coupons, you can quickly analyze marketing campaigns based on responses, revenue and other key metrics. Predict who will respond to which campaign, which channel they will use and why and thereby increase the likelihood of responses and quality of leads in future campaigns.

WA_Fn UseC_ Marketing Customer Value Analysis.csv
Understand customer demographics and buying behavior. Use predictive analytics to analyze the most profitable customers and how they interact. Take targeted actions to increase profitable customer response, retention and growth.


WA_Fn UseC_ Operations Dem Planning_ BikeShare.csv
Understand product and service usage characteristics based on operational and external information. Predict the likely placement or time a service will be used to optimize revenue. Finally, increase the likelihood of positive sentiments by having the right product available at the right time.


WA_Fn UseC_ Accounts Receivable.csv
Understand the factors of successful collection efforts. You can Predict which customers will pay fastest and recover more money and improve collections efficiency.

WA_Fn UseC_ Banking Loss Events 2007-14.xlsx
Understand hidden patterns and trends by combining various fields in Explore. Predict the leading drivers of a target, for example, using ‘Recovery Amount’ as the target.

Customer Support

WA_Fn UseC_ Telco Customer Churn.csv
Predict behavior to retain customers. You can analyze all relevant customer data and develop focused customer retention programs.

Human Resources

WA_Fn UseC_ HR Employee Attrition.csv
Find out the leading drivers of Employee Attrition. Track and analyze employee satisfaction and Retain valuable employees. Watson Analytics could be used to Explore deeper into the data for interesting insights and also to create Dashboards.

Information Technology

WA_Fn UseC_ IT Help Desk.csv
Analyze helpdesk tickets, including number, amount of high priority, average response time and more. Understand what causes high priority tickets and improve resolution times with better understanding of ticket details.

Additional Data Set

WA_American Time Use Survey-lite.csv (for Freemium users) and WA_American Time Use Survey.csv
This dataset comprises demographic, select personal and other attributes of a subset of Americans. For example, use Explore to find interesting trends about how Americans spend their time.



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There’s a few different ways to apply filters to your visualizations in a dashboard. Here’s an overview of the different types of filters and how they work. You can filter visualizations in your dashboard in three main ways: Filter all visualizations in your dashboard Filter one visualization based on a column in the visualization (Keep/Exclude) Filter one visualization based on a column not in the visualization (Local Filter) What’s Filtered Right Now? To get started, here’s a quick way to check filter status. TIP: Click the Filter Status icon in a visualization to see the current filtering that is applied. Applying a global filter across all visualizations in the dashboard Use the data tray to configure a filter that applies to all visualizations in the view. This type of filter applies across all the tabs in the view for any visualization that uses that same data set. Click on a column title in the data tray and then click the filter icon. Select your filter criteria and then click away from the filter menu to close it. Here’s an example of a global filter for the Region column set to only “Mid-Atlantic” and “Northeast”. TIP: The blue line above a column in the data tray means that column has a global filter. Filter a single visualization using the Keep/Exclude option Use the Keep/Exclude filter to display or hide specific data points in a visualization. A data point can be an element or data point displayed in the visualization. For example, a bar in a bar chart, a bubble in a bubble chart, an item in a legend or an item on an axis. Right-click one or more data points in a visualization and then choose Keep or Exclude. The filter is applied to that visualization only. The other visualizations in the view do not update. After setting a filter, you can click the Filter Status icon in the visualization to see the current filter status. Tip: This type of filter can also be configured in the column panel when you edit a visualization. Filter a single visualization for a column not displayed Use the Local filter option to slice your data on a column that’s not displayed in a visualization. This type of filter is available only for visualizations you create in Assemble and does not update any other visualizations in your view. 1.Change the view into Edit mode and then click the Expand icon for the visualization. 2.Drag the column you want to filter on from the data tray to the Local filters option. 3.Select or type the criteria for the filter, and then click away from the filter pane. 4.Click the Collapse icon to return to the view. To verify the filter, click the filter icon on the border of the visualization. For more information and details see the following resources: Documentation: IBM Watson Analytics Docs > Assemble > Filtering Video: How to filter all visualizations in a dashboard or story