December 2016
Beginner to intermediate
352 pages
6h 24m
English
Content preview from Practical Business IntelligenceBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Fusing D3 and CSV
Now that we have some background on how to create components with D3 using hardcoded data in variables, we can continue the process by developing D3 components against data in a CSV file. In order to do so, there are two architectural matters that will need to be addressed before any type of development begins:
- Creating and exporting a CSV file to a desired location
- Establishing a server to connect the CSV file to an HTML file to be leveraged by D3
Preparing the CSV file
In Chapter 2, Web Scraping, we scraped data from a GitHub website, which was extracted to a CSV file and then uploaded to MS SQL Server. The file was called DiscountCodebyWeek and contained the following three columns:
- Index
- WeekInYear
- DiscountCode
When the data was ...
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