Kyle Walker
Analyzing US Census Data: Methods, Maps, and Models in R
Analyzing US Census Data: Methods, Maps, and Models in R
💎 Earn 292 Points (£2.92) on this item.
YOU SAVE £1.44
- Condition: Brand new
- UK Delivery times: Usually arrives within 2 - 3 working days
- UK Shipping: Fee starts at £2.39. Subject to product weight & dimension
Bulk ordering. Want 15 or more copies? Get a personalised quote and bigger discounts. Learn more about bulk orders.
Couldn't load pickup availability
- More about Analyzing US Census Data: Methods, Maps, and Models in R
R provides easy access to US Census Bureau geographic and demographic data for analysis and visualization. The tidyverse and sf packages make it easy to work with Census data, including margins of error in the American Community Survey.
Format: Paperback / softback
Length: 352 pages
Publication date: 16 February 2023
Publisher: Taylor & Francis Ltd
The R programming language provides a seamless interface to access the vast geographic and demographic data resources of the US Census Bureau. With the help of the tidyverse tools, users can effortlessly wrangle Census data, analyze margins of error in the American Community Survey, create visually appealing maps and interactive web visualizations using US Census data, and employ spatial analysis techniques with the sf package to explore Census data in a spatial context. Furthermore, users can integrate Census data into spatial and machine learning models to gain deeper insights and make informed decisions.
Access US Census Bureau geographic and demographic data directly within R.
The R programming language offers a seamless interface to tap into the vast geographic and demographic data resources of the US Census Bureau. By leveraging the powerful tidyverse tools, users can effortlessly wrangle Census data, conduct comprehensive analysis of margins of error in the American Community Survey, create visually appealing maps and interactive web visualizations utilizing US Census data, and employ spatial analysis techniques with the sf package to explore Census data in a spatial context.
Furthermore, users can integrate Census data into spatial and machine learning models to gain deeper insights and make informed decisions.
Weight: 680g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032366449
This item can be found in:
UK and International shipping information
UK and International shipping information
UK Delivery and returns information:
- Delivery within 2 - 3 days when ordering in the UK.
- Shipping fee for UK customers from £2.39. Fully tracked shipping service available.
- Returns policy: Return within 30 days of receipt for full refund.
International deliveries:
Shulph Ink now ships to Australia, Belgium, Canada, France, Germany, Ireland, Italy, India, Luxembourg Saudi Arabia, Singapore, Spain, Netherlands, New Zealand, United Arab Emirates, United States of America.
- Delivery times: within 5 - 10 days for international orders.
- Shipping fee: charges vary for overseas orders. Only tracked services are available for most international orders. Some countries have untracked shipping options.
- Customs charges: If ordering to addresses outside the United Kingdom, you may or may not incur additional customs and duties fees during local delivery.
