ESA 2019 Data Help Desk: Difference between revisions

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| Deborah Paul (iDigBio)/Karl Benedict (ESIP/UNM Libraries)
| Deborah Paul (iDigBio)/Karl Benedict (ESIP/UNM Libraries)
| [[Media:DataCleaning_Benedict-Paul.pdf|Data Cleaning for Analysis and Publication Using R and OpenRefine Software Packages]]
| [[Media:DataCleaning_Benedict-Paul.pdf|Data Cleaning for Analysis and Publication Using R and OpenRefine Software Packages]]
| Data start life with issues: inconsistent content, missing values, entry errors, multiple values in single columns, and many others. Before any analysis or visualization can be done these issues must be resolved. This workshop will demonstrate processes within OpenRefine and R for making your data analysis ready and improving reproducibility.
: [https://github.com/unmrds/R-data-cleaning GitHub Repository with R code for this presentation.]
| Data often start life with issues: inconsistent content, missing values, entry errors, multiple values in single columns, and many others. Before any analysis or visualization can be done these issues must be resolved. This workshop will demonstrate processes within OpenRefine and R for making your data analysis ready and improving reproducibility.
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| Wednesday
| Wednesday
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