R Statistical Analysis and Reporting Services

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STARTS AT $50

1.

Exploratory Statistics using R

2.

Inferential Statistics using R

3.

Predictive Statistics using R

Boost your project’s effectiveness with my professional assistance in statistical analysis and reporting using R. I deliver in-depth, precise reports, making complex data understandable and actionable.

  1. Implement comprehensive data cleaning and manipulation in R, ensuring a robust foundation for statistical analysis.
  2. Utilize R’s diverse statistical packages for a wide range of analyses, from basic descriptive statistics to complex inferential techniques.
  3. Conduct hypothesis testing and confidence interval analysis in R, crucial for validating your research findings.
  4. Employ advanced statistical methods in R, including regression analysis, ANOVA, and time-series analysis, to uncover deeper insights.
  5. Generate clear, detailed reports with R Markdown, combining statistical results with narrative and visualizations for enhanced understanding.
  6. Ensure accuracy and reliability in your statistical conclusions with R’s powerful data validation and diagnostic tools.

 

Specialized in using R for statistical analysis, adept with packages like ggplot2, dplyr, tidyr, and shiny. My skill set includes advanced data manipulation, analysis, and creating dynamic, informative visualizations and reports in R.

Using R’s robust statistical capabilities, I bring a unique blend of analytical rigor and creativity to your projects. My focus is on delivering clear, actionable insights from your data, ensuring that every report is both technically sound and strategically valuable.

R - The Statisticians' Craft

Come join me on the journey through the sea of data with R as your sail. Discover the art of statistical storytelling, where R's precision meets the elegance of data visualization.

My Body of Work

FAQ's

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Thomas J.

4

2023-02-28

R analysis was spot on but needed a bit more detail in the report. Overall, good job
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Anita P.

5

2022-07-06

Very professional service. The data visualization in R was amazing. Highly recommended.
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Lars N.

4

2023-11-09

The statistical analysis was comprehensive, but the delivery was a bit late.
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Yumi T.

5

2023-05-06

Excellent in-depth analysis using R. Helped a lot in my research work.
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Lucas B.

5

2023-09-14

Good work but had some issues understanding the report. Needed clearer explanations.
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Fiona W.

4

2023-10-11

Impressive R skills, the data analysis was exactly what I needed for my project.
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Ahmed S.

4

2023-07-06

The analysis was good, but communication could have been better.
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Marie D.

5

2023-09-29

Great service! The R report was detailed and easy to follow.
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Henry C.

4

2023-04-10

Needed more customization in the analysis. Was expecting a bit more.
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Chiara V.

5

2023-07-29

The statistical methods used were advanced and well-explained. Great use of R.
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Alex P.

4

2023-07-29

Fast delivery but the analysis lacked some depth. Decent overall.
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Nina K.

4

2023-09-29

The R analysis was thorough, but I had to ask for revisions for more clarity.
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Omar F.

4

2023-06-29

Excellent service, the R visualizations were exactly as per my requirements.
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Sarah L.

4

2023-06-29

The project was well-handled but faced some delays in getting the final report.
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Wei Z.

4

2023-08-29

Impressive statistical analysis in R, but the report had some minor errors.
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Miguel A.

4

2023-09-29

Needed a quick analysis in R. The service was good but not exceptional.
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Hannah M.

5

2023-07-29

Very detailed and accurate R analysis. Will definitely recommend.
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Ivan G.

4

2023-07-05

Good service but the interpretation of the data could have been more detailed.
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Emma S.

4

2023-10-17

Great analytical skills, but there was a misunderstanding regarding my data requirements.
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Diego R.

5

2023-11-08

The R analysis was comprehensive and well-structured. A bit pricey but worth it.

What I Need to Start Your Project

To ensure that I can provide you the best possible service and deliver results that meet your needs, I will need the following information from you before starting your project:

 

  1. Project Details: - A brief overview of the project, outlining its objectives and the key questions or hypotheses you want to explore. - Any specific context or background information that might influence the analysis.
  2. Data and Data Description (if available): - The dataset(s) for analysis, preferably in a format easily imported into R (like CSV, Excel, or text files). - Comprehensive details about the data, including source, variables, and any pre-processing or cleaning already done.
  3. Exact Requirements: - Details on the specific types of statistical analyses or tests you expect, or any particular R packages or methods you prefer. - Information on any specific data points or variables that need special attention in the analysis.
  4. Reporting Requirements: - Preferences for the structure and format of the final report, including any specific requirements for data visualization or graphs. - If the report is for academic, professional, or business purposes, any formatting guidelines or standards to adhere to.
  5. Communication Preferences: - Your preferred channels and frequency for updates and communication (e.g., email, phone calls, video conferencing). - Any project deadlines or critical milestones that need to be met.

 

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