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Sports Analytics: College Basketball/R Studio/ Visualizations/Trelliscope js

ObjectiveMethodStudy OBJECTIVEUnderstand how different statistical factors can make a college basketball team successful. *We obtained our dataset from kaggle.com - College Basketball Dataset Click on the button below to access R Code ---> Open R Studio project & Run the code to display results & visuals R Studio Code We will clean the data in order to work with an accurate model. In our current database, we observe a total of 2455 variables along with 24 columns. We have data from the years 2013 to 2019. For presentation purposes, I'll subset

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Snapchat Ads Analysis – Tableau/Data Visualization

ObjectiveMethodsStudy OBJECTIVEAnalyze the spending of the social media company Snapchat as well as its ads targeting data to target people when getting closer to political elections. Tableau Dashboard Methods After obtaining the datasets from a third party on a csv format, we will user Excel's Power Query in order to perform data pre processing so that we can structure the dataset to be analyisis friendly. After inserting the 3 different datasets into Tableau, we will preview the data and study the different connections between the data. Study For the

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Sports Analytics: Super Bowl LVI Winner Predictor Model – Python/Excel/Solver/Statistical Analysis

ObjectiveMethodStudy OBJECTIVEPredict accurately the winner of the LVI Super Bowl (Bengals vs Rams). Excel File STUDY This will be done through a statistical analysis of the regular season to come up with a forecast of "ratings" in order to give value to all the teams. After the analysis is done we will use Solver in order to accurately depict team ratings and the values that the Bengals and Rams possess, allowing us to determine who should win based on the performance of the regular season. The study will be done through Microsoft Excel. We will being by

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Movie Recommendation Project – Python

ObjectiveMethodStudy OBJECTIVEAfter recent blockbusters like Spider-Man No Way Home, No Time to Die or Uncharted I wondered what would be the correlation between a movie's budget and its success. To do this we will apply correlation models through Python in Jupyter Notebooks. Link to code in Github METHOD We will start by importing the necessary libraries, pandas, numpy and seaborn. Along with that we will import the database for the movie industry (Which is on a csv format). We will assign the variable "df" to it to make it easier to reference later. We

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COVID 19 Study – Tableau / SQL / Data Visualization

ObjectiveMethodStudy OBJECTIVEStudy the impact of COVID-19 on an international level and at the national level (US). For this analysis I obtained the dataset through the government's CDC official page, then I proceeded to query it and mine it to obtain the necessary data points, this was done through Microsoft Data Studio using SQL. After the mining of data was done I aimed to create a visualization of the study through Tableau data viz software. METHOD The methodology I used to create a visualization of my findings was the following: After acquiring the datas

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Sports Analytics: Premier League Players Analysis – Python / R Studio / Data Visualization

Description/ObjectivesMethods - Python/R StudioCode + Visuals DESCRIPTION - OBJECTIVE OF THE PROJECTAs a soccer fan, I was intrigued by the 2020-2021 season as it was a very thrilling one. Hence, I decided to analyze the player's performance as well as some interesting data points which I considered could bring value to the reader. Though this is a very generic statistical analysis, I'm working on developing further this model through Jupyter Notebooks. METHODS For the study of the dataset I used Jupyter Notebook to code by combining Python and R scripts. Che

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Grubhub Research Project – Excel/PowerPoint/Word Doc

This project was the capstone for my "Market research through data analytics" class. For 6 months I led a team of 4 people in which we had to present our findings and recommendations to senior executives from the company Grubhub. The team was deemed winner out of the capstone competition over 30 different teams and we got to present our results to the company's executives through a Power Point Presentation, a final report in Word Doc and an Excel file containing essential information regarding the information we analyzed. OBJECTIVE OF THE PROJECTThe purpose of this

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COVID-19 and the adaptation of businesses to the new technologies – Research Article

After COVID-19, businesses have been disrupted and after three months of interrupted activity, they won’t go back to normal, or at least for a while. The silver lining of this situation is that businesses are starting to adapt to this new situation… But how? Over the last decade, almost all companies have advanced exponentially on their digital capabilities over the past few years, but with the amid of the COVID-19 outbreak, companies are suffering moderate impacts; one of them has been shifting all operations to remote work (Even classes) through online methods via vi

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Report of payment analysis in a tech company – R Studio / Microsoft Excel

Problem to solveData CollectedMethods - R Studio Software / Microsoft ExcelFindings Conclusion Problem to solveThis Tech Sales Report details the performance of the sales representatives of a Tech Company for2021. It contains the methods used to evaluate the salaries of 12,130 sales representativesfrom the software product group of a high-tech company. For each employee, the data includesocio-demographic and education information, salary, and a personality indicator. Also included inthe data is the net promoter score, which is an indicator of customer satisfaction with

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Personal Fitness Tracking Project – PowerBI/PowerQuery

ObjectiveMethodStudy OBJECTIVEAs a fitness enthusiast, I decided to track my steps along with running activity from my Huawei watch. The study started on May 10th and ended on the 8th of June. I decided to present a Power BI dashboard in order to have a quick overview of my exercise data METHOD Data Collection & Table Structures The necessary data was collected and structured in Excel Files. The exercise data was organized as a fact table and date & activity were organized as dimension tables for filtering the data. FACT_Activity Exercise data was