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Open Source Patent Analytics – A work in progress home for the WIPO Open Source Patent Analytics Manual

A work in progress home for the WIPO Open Source Patent Analytics Manual

http://poldham.github.io/

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Open Source Patent Analytics – A work in progress home for the WIPO Open Source Patent Analytics Manual | poldham.github.io Reviews
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A work in progress home for the WIPO Open Source Patent Analytics Manual
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Open Source Patent Analytics – A work in progress home for the WIPO Open Source Patent Analytics Manual | poldham.github.io Reviews

https://poldham.github.io

A work in progress home for the WIPO Open Source Patent Analytics Manual

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1

Obtaining Patent Data: Patent Databases – Open Source Patent Analytics – A work in progress home for the WIPO Open Source Patent Analytics Manual

http://poldham.github.io/Patent-Databases

Open Source Patent Analytics. A work in progress home for the WIPO Open Source Patent Analytics Manual. Obtaining Patent Data: Patent Databases. This article provides a quick overview of some of the main sources of free patent data. It is intended for quick reference and points to some free tools for accessing patent databases that you may not be familiar with. Data is in terms of the hours required to prepare for analysis. We won’t go into all of that but will provide the odd pointer. The Google Patent ...

2

Introducing R and Graphing Patent Data with ggplot2: Part 2 – Open Source Patent Analytics – A work in progress home for the WIPO Open Source Patent Analytics Manual

http://poldham.github.io/ggplot_pizza_patents_part2j

Open Source Patent Analytics. A work in progress home for the WIPO Open Source Patent Analytics Manual. Introducing R and Graphing Patent Data with ggplot2: Part 2. This is Part 2 of an article introducing R for patent analytics that focuses on visualising patent data in R using the ggplot2 package. In Part 1 we introduced the basics of wrangling patent data in R using the. Package to select and add data. In this article we will go into more detail on these functions. We then focused on using. Is an impl...

3

Patent Network Visualisation with Gephi – Open Source Patent Analytics – A work in progress home for the WIPO Open Source Patent Analytics Manual

http://poldham.github.io/gephi_patent_network

Open Source Patent Analytics. A work in progress home for the WIPO Open Source Patent Analytics Manual. Patent Network Visualisation with Gephi. This article focuses on visualising patent data in networks using the open source software Gephi. Gephi is one of a growing number of free network analysis and visualisation tools with others including Cytoscape. For Windows, and VOSviewer. Synthetic biology" or "synthetic genomics" or "synthetic genome" or "synthetic genomes". For background see this article.

4

Open Source Patent Analytics Survey – Open Source Patent Analytics – A work in progress home for the WIPO Open Source Patent Analytics Manual

http://poldham.github.io/Open-Source-Patent-Analysis-Survey

Open Source Patent Analytics. A work in progress home for the WIPO Open Source Patent Analytics Manual. Open Source Patent Analytics Survey. Patent researchers and professionals are increasingly using open source and free software tools as part of their work. We are working to develop a WIPO Manual on open source and free software tools with support from the WIPO Secretariat. To do this we have developed a short 10 minute survey here. Or by emailing me. Many thanks in advance for participating.

5

Importing CSV files into R – Open Source Patent Analytics – A work in progress home for the WIPO Open Source Patent Analytics Manual

http://poldham.github.io/reading-csv-files-in-R

Open Source Patent Analytics. A work in progress home for the WIPO Open Source Patent Analytics Manual. Importing CSV files into R. As part of the WIPO Manual on Open Source Patent Analytics project we will be working with patent data in R using RStudio. If you do not have a copy of RStudio follow the simple instructions for installing on your platform here. There are lots of resources on the site to help you get started including online learning. The excellent R-Bloggers site. Or downloading the zip file.

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