Data analysis and visualization
Data analysis and visualization
Analyzing data
Cleaning and preparing data
Prior to analyzing data, it is a good idea to clean and prepare it. There are many tools to help with this, such as:
- Spreadsheet software: for sorting, converting units, formatting, etc. Example: Excel
- Purpose-built tools: for data wrangling. Example: OpenRefine
Learn more about cleaning and preparing your data from:
- Clean and prepare data guide (University of Guelph)
- Analysis Ready Datasets – flash based tutorial (University of Massachussetts Medical School)
- Tidying your data: simple steps for reproducible research (DataONE)
Analyzing data
- SPSS software for data analysis are available on Library computers and laptops as well as in the faculty or departmentalcomputer labs at Concordia.
- R and Python workshops are available several times during the year at the Vanier Library. They are provided by Datascientifique.
- Remember to capture the workflow that you develop when transforming your raw data. Follow the USGS workflow capture guide to learn more.
Visualizing data
The Concordia Library Visualization Studio supports graduate student and faculty learning, teaching and research.
