Monitoring and analyzing diseases and climate disasters in the Asia-Pacific

Assist with data visualization of diseases and climate disasters

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ReliefWeb

Open positions at ReliefWeb

Home-based;

Volunteering IT & Telecom Information Management

Application deadline 5 years ago: Friday 27 Nov 2020 at 08:00 UTC

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Overview

Assist with data visualization of diseases and climate disasters

You have:

Proficiency in R programming for data extraction and visualization.
Experience in using Tableau or Power BI for creating visualizations.
Knowledge of HTML and CSS3 for web development tasks.
Ability to research new sources for data relevant to major diseases and climate disasters.
Prior experience with database design, administration, and maintenance.

Contract

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Details

We would like to incorporate an Online Volunteer to help us with the visualization of major diseases and climate disasters in the Asia-Pacific region using tools such as Tableau or PowerBi. For this purpose the Online Volunteer will need to do some research of new sources and or the code improvement to extract the data through R/R Studio.

Research
Database design, administration and maintenance

At Relief Web we are monitoring and analyzing major diseases and climate disasters in the Asia-Pacific region. We would like to incorporate an Online Volunteer to help in the research of new sources and or the code improvement to extract the data and create the reports. We also would like to start to create visualizations using tools as Tableau or Power Bi.
Volunteers: 2 needed
1-5 hours per week / 4 weeks

Proficiency in R, Web Scraping and automation techniques, with knowledge of HTLM and CSS3 and or Data Visualization with Power Bi or Tableau.
Asia
English

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Potential interview questions

Can you describe a project where you had to use R for data visualization?	This question assesses your technical abilities and practical experience with R.	Provide details about the project, the challenges you faced, and the outcome.
What strategies do you use to ensure the accuracy of your data sources?	The interviewer wants to understand your approach to research and data validation.	Pro members can see the explanation.
How do you prioritize tasks when working on multiple projects simultaneously?	Pro members can see the explanation.	Pro members can see the explanation.