brandwatch masterclass: charts
DESCRIPTION
NY Masterclass Session, May 8TRANSCRIPT
Brandwatch Masterclass/ChartsAlyssa Edelman
[email protected] | Brandwatch Masterclass | May 2014
Charts Are Awesome.
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Agenda
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• Charts on the Default Dashboard
• Creating Custom Charts
• Filtering Options
• Views
• Troubleshooting Charts
• Hands-On Exercises
Charts on the Default Dashboard
•Sentiment by Day
•Page Types by Day
•Sentiment by Page Type
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Creating Custom Charts
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Chart Views
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Filter Options
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Show (Y-Axis)
•Vertical breakdown
•Volume is the most commonly used
•Unique authors is an interesting metric
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For (X-Axis)/Breakd
own By
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Queries
•Queries
•Groups
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Sentiment
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Authors
•Author List
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•Account Type
•Gender
•Profession
•Interest
•Author Cities
•Author Counties
•Author States
•Author Countries
•Author Continents
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Tags and Categories
•Tags
•Categories
•Multiple Parent Categories
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Workflow
•Assignment
•Priority
•Status
•Checked
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Time
•Hours
•Days
•Weeks
•Months
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Site
•Site List
•Page Type
•Domain
•MozRank
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Language
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Locations
•Cities
•Counties
•States
•Countries
•Continents
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Sample Chart Views
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Volume for Categories, broken down by Sentiment
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Volume for Queries, broken down by Categories
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Volume for Queries, broken down by Categories
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Volume for Days, broken down by Categories
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Volume for Days, broken down by Categories
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Volume for Days, broken down by Categories
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Volume for Days, broken down by Categories
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Unique Authors for Months, broken down by Queries
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Volume for Queries, broken down by Multiple Parent Categories
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Volume for States, broken down by Days
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Volume for Days, broken down by Sentiment(with an added Gender filter)
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Troubleshooting
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Recap
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Key Takeaways
• Charts are the most flexible way to view your data
• There are lots of great filtering options in addition to the the standard Brandwatch filters
• Puppies and kittens are encouraging
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Chart Practice
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Add a Chart component to the dashboard.
Create a line chart that shows a volume comparison over time, broken down by day, of male versus female conversation.
Create a horizontal bar chart showing the volume of conversation by page type, broken down by week.
In a table view, create a chart that shows how many mentions in each flavor category either say “Starbucks” or don’t say “Starbucks” within the mention. Make sure the flavors run along the left side of the table.
Create a bar chart showing what flavors people in different professions prefer (mention volume).
Any Questions?
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