I will help you conduct exploratory data analysis using R and write report
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Project Details
Why Hire Me?
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My expertise in R, combined with a thorough approach to data exploration, allows me to guide you in effectively uncovering and understanding the intricacies within your data. I focus on teaching you to not only conduct EDA but also to communicate findings compellingly in reports.
Key Strengths:
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Skilled in
ggplot2,dplyr, andtidyrfor clean, visual analysis -
Experienced with structured reporting for academic and business contexts
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Able to handle datasets of all sizes and complexities
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Adaptable approach for all skill levels, including complete beginners
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Proven ability to extract hidden insights and trends that inform decisions
What I Need to Start Your Work
To deliver high-quality EDA tailored to your needs, I will require:
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Project Details
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Your project’s objective and the role of EDA in meeting that goal
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Specific questions or hypotheses you wish to explore
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Data and Description
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The dataset in CSV, Excel, or R-compatible formats
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Description of variable types, data source, and any prior cleaning done
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Exact Requirements
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Particular features to explore: outliers, trends, distributions, etc.
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Visualization or summary techniques you want included
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Reporting Preferences
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Level of technical detail and preferred format (Word, PDF, Markdown)
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Any style guidelines, especially for academic or business reports
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Communication Preferences
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How you want to be contacted and how often
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Any specific deadlines or milestones for report delivery
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Portfolio
Retail Demand Pattern Discovery Using Exploratory Data Analysis in R for a U.S. Grocery Chain
Used R to uncover seasonal demand patterns, outlier products, and category-level trends for a U.S. grocery chain. Informed stocking and discount strategies across regional stores.
Exploratory Data Analysis in R for Public Transport Ridership Trends in a U.S. Metro System
Applied EDA techniques in R to analyze ridership patterns by route, time of day, and demographics. Helped city transit planners realign service schedules based on peak load behaviors.
Student Performance Trends in R: Exploratory Analysis for a U.S. Community College
Conducted univariate and bivariate EDA in R to explore relationships between attendance, online access, workload, and GPA. Enabled targeted academic support for at-risk student groups.
Process






