I will do data analysis,visualization and r programming for you - Data Analysis & Reports. Click on the link for see the service on Fiverr.
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I will do data mining and web scraping - Data Analysis & Reports. Click on the link for see the service on Fiverr.
Jupyter Notebook is a powerful tool for data analysis. Here are 28 tips, tricks and shortcuts to turn you into a Jupyter notebooks power user!
Figure out the Figure Aesthetics with Seaborn’s Cheatsheet @learnbaydatascience has detailed out the steps to perform Figure Aesthetics program Follow @learnbaydatascience for more Cheatsheets on Seaborn
Taking your data to go with R packages
dplyr and data.table are amazing packages that make data manipulation in R fun. Both packages have their strengths. While dplyr is more elegant and resembles natural language, data.table is succinct
Wes McKinneyThe tutorial will give a hands-on introduction to manipulating and analyzing large and small structured data sets in Python using the pandas libr...
Wes McKinneyThe tutorial will give a hands-on introduction to manipulating and analyzing large and small structured data sets in Python using the pandas libr...
Radiant is a platform-independent browser-based interface for business analytics in R, based on the Shiny package.For more information please visit the docum...
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YT for Data Analysis Follow @deep.decide . . #deepdecide #data #datavisualization #dataanalytics #dataanalysis #datascience #powerbi #tableau #datalife #code #business #businessanalyst #businessmind #learndata #learndataanalytics
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I will do statistics data analysis with r programming - Data Analysis & Reports. Click on the link for see the service on Fiverr.
“The idea of imputation is both seductive and dangerous” (R.J.A Little & D.B. Rubin). Indeed, a predicted value is considered as an observed one and the uncertainty of prediction is ignored, conducting to bad inferences with missing values. That is why Multiple Imputation is recommended. The missMDA package quickly generates several imputed datasets with quantitative variables and/or categorical […]
A series of tutorials, in R, by Anthony Damico. As claimed on http://twotorials.com/, “how to do stuff in r. two minutes or less, for those of us who prefer to learn by watching and listening“. So far, 000 what is r? the lingua statistica, s’il vous plaît 001 how to download and install r 002 simple shortcuts for the windows r console 003 how to do simple arithmetic in r 004 how to create a variable with r 005 how to use the c (combine) function [...]
What do you know about 'Business Analytics With R'? Browse through this write-up to know how R programming is useful to statisticians in data analysis.
Data is the core of predictive modeling, visualization, and analytics. Unfortunately, the needed data is not always readily available to the user, it is most often unstructured. The biggest source of…
Why Even Try, Man? I recently came upon Brian Granger and Jake VanderPlas's Altair, a promising young visualization library. Altair seems well-suited to addressing Python's ggplot envy, and its tie-in with JavaScript's Vega-Lite grammar means that as the latter develops new functionality (e.g., tooltips and zooming), Altair benefits -- seemingly for free! Indeed, I was so…
