R
R is a programming language that is primarily used for statistical analysis, visualization, and other data analysis
Data analytics, Jane's Thoughts, Tech
Data analytics
Posts about data, analysis and related tools
Data analytics, Jane's Thoughts, Tech
Qualitative data
An R package is a unit of reproducible code – allowing you to leverage other people’s work, and repeat actions faster
Data analytics, Jane's Thoughts, Tech
Package (R)
An R package is a unit of reproducible code – allowing you to leverage other people’s work, and repeat actions faster
Data analytics, Jane's Thoughts, Tech
Observation
Observation is a fancy term for “row” in databases. It refers to the attributes of data contained in a referenced cell
Data analytics, Jane's Thoughts, Tech
Naming Conventions
Naming conventions are the consistent guidelines that guide how a file is named. Most tools (like SQL) have naming conventions to avoid clashes in function names, keywords and databaase references, but some organisations also have internal naming conventions to help keep things organised
Data analytics, Jane's Thoughts, Tech
Mandatory
Anything mandatory is a data value that cannot be left blank or empty. If the mandatory arguments are left blank/incorrectly written, the function, formula, method etc. would not work as intended
Data analytics, Jane's Thoughts, Tech
Label
A label is the text in a visualization that identifies a value or describes a scale. Good labeling makes sure that your stakeholders are not confused about what they are seeing.
Data analytics, Jane's Thoughts, Tech
Java
Java is a programming language widely used to create enterprise web applications that can run on multiple clients
Data analytics, Jane's Thoughts, Tech
IDE
An I.D.E. (Integrated Development Environment) is a software application that brings several data analytics tools together in a single place, optimising for productivity and making your workflow easier
Data analytics, Jane's Thoughts, Tech
Having
When writing an SQL query, use “HAVING” to apply a filter directly to the results, rather than the original data. Used in conjunction with aggregate functions
Data analytics, Jane's Thoughts, Tech
GAM Smoothing (R)
Generalised Additive Model smoothing (also known as GAM smoothing) helps you highlight the trends in your data. It is largely preferred when working with plots that have a large number of points to avoid plots that are very granular or angular
Data analytics, Jane's Thoughts, Tech
Facets (R)
Facets are series of functions that splits data into subsets in a matrix of panels
Data analytics, Jane's Thoughts, Tech
Emphasis
Emphasis is arranging the visual elements of your visualisation to draw attention to what is important. Emphasis is how you focus your audience’s attention
Data analytics, Jane's Thoughts, Tech
Dashboard
Dashboards track and show the relationship between selected data points, providing a snapshot of trends, patterns for your users to gain a high-level bird’s eye view of what is going on
Data analytics, Jane's Thoughts, Tech
C#
You might never use C# as a data analyst, but there are other programming languages you’ll use, and some of the tech professionals your work will intersect with use C# in their work