Solomon Christy

Daft_SQLTask

July 28, 2021 – July 28, 2021

Determine the number of ads which have generated leads on the site per day and determine the YoY growth of leads in county Dublin from 2018 to 2020 (use lag).

SWDChallenge-RStudioTableContest

February 28, 2021 – February 28, 2021

Data Visualization: Tables work well when you need to show multiple measures together to audience that are interested in seeing the analysis with rows & columns than through graphical information. That said, it’s no wonder why it’s most often preferred at work by the clients when everyday business dashboards are concerned. As I completed a course last week on Udemy to brush up my R skills, I’ve made use of that opportunity with this month’s (latest) #SWDChallenge to build a table and #RStudio Table Contest by bringing my coding skills to practice. Below viz showing Top 15 states of the U.S. with the highest % change in a decade in Public Healthcare Spending per child, is made with {gt} (Grammar of Tables) package 📦 in R & I’m totally in love with it. What a powerful library it is! Needless to emphasize on #tidyverse! This viz is built after referencing @thomas_mock’s (twitter) blog on his fantastic {gt} package usage tutorial. #TheTableDoesNotLie #rstats #r4ds #tidytuesday

rCharts-with-Slidify-RMarkdown

May 27, 2017 – May 27, 2017

Bored of using the conventional “ggplot2” package for visualizing your data? Besides, fed up with mundane R markdown to present your idea loaded with data & charts? Looking for an interactive dynamic visualization which will enhance the elegance of your viz? Then, “rCharts with Slidify” is the best solution by far. Bet you would not have seen such a visualization in R and a presentation on which the the texts and vizzes are stacked.

Sentiment-Analysis-and-Map-Viz-of-Tweets-

September 13, 2016 – September 13, 2016

This project “Prognostication of Box Office Talk using Twitter Corpus” predicts the success of the movie using state of mind of the people that could possibly be achieved by sentiment analysis. The analysis is done with Naive Bayes Classifier which is a supervised text classification algorithm attaining 81 percent of F-Score. This work is also incorporated with visualization of data in R language which stands one among the best in representing the analysis in pictorial format and a map visualization that portrays the location of the tweets with the user name whom it has come from.