Archives 2019

Some programming languages were created to handle large data sets, and a whole ecosystem of libraries and frameworks has developed around them. Other languages are quite new, but work much faster. Together we explore when it’s better to use R …

Use the right data types

Using the wrong data type can lead to less accurate data, difficulty in merging tables, synchronizing attributes, and bloated file sizes.
To ensure the integrity of the information, an attribute must contain only acceptable data …