Tools and Programming
R is a must for a data analyst or data scientist. Reasons ? There are many libraries in R that make a lot of things. From the social network data wrappers
to libraries for visualizing cool graphics and maps, to libraries for making data analysis and machine learning to the ones for making html pages.
R interfaces well also with many databases. You can read more about R guides here : How to with R
Latest posts on visualizing data with R
May 21, 2017 19:00 PM
Understanding how entities relate to each other is fundamental.
For example how a certain group of
people relates with another group or how a cluster of companies in a certain business relates with another cluster.
With R it is very easy to visualize those connections and start understand the
May 20, 2017 18:00 PM
There are many cases in which visualisin the data in a certain way helps in making comparisions and confrontations in order to undestand better
the different orders of magnitude that exist between variables...
April 11, 2017 9:00 AM
Stacked bar charts in a similar way with that of grouped bar charts help in making comparisions and confrontations
within the different variable thought understand better ...
April 04, 2017 9:10 AM
Scatter plots are in visualizing relationships between two variables ...
March 24, 2017 19:00 PM
A line diagram is useful for visualizing how a certain continous variable changes in time.
If you have many variables and you want to compare them the a multiple lines diagram is waht you are lookin for...
March 21, 2017 19:00 PM
There are many packages in R for text processing. It is thus possible to analyse a text and extract the most
common words and visualize this set of words as a cloud .. from this derives the term for the type of visualization itself
March 12, 2017 13:00 PM
The age pyramid plot can be done with the native code of R without the need for other libraries. In this guide
we built an age pyramid in R step by step .
March 1, 2017 14:00 PM
Usually the data have a location dimension such as zip code, coordinates or just the name of the city where the data is captured. Thus this data can be
visualized in a map.
Feb 18, 2017 14:00 PM
At the end of the project research you have your results that come from your analysis (the code you have implemented for )and you have a lot of
plots rappresenting this and that on the findings you want to illustrate. That is a lot of material and you have that in
different formats such as data, code, graphics, ppt presentations etc..
Feb 18, 2017 18:00 PM
This guide shows how to confront the attributes of different objects in order to understand how those objects are similar or
on the other hand differ from one from the other. By plotting these attributes in a matrix it is possible to built a heatmap
Jan 29, 2017 21:00 PM
This guide shows how to visualize a table plot using tabplot. A table plot is a powerfull way to explore and analyse
large multivariate datasets by visualizing each variable.