NO PREPAYMENT!

Course work with R

Statistical analysis, data visualization, interactive Shiny applications and RMarkdown/Quarto reports.

from UAH 2,500 Term from 5 days

Order in Telegram Order form

Areas of work

ggplot2 visualization

Graphics of publishing quality: scatter, bar, box, violin, heatmap, facets. Customization of themes and colors.

from UAH 2,500

dplyr / tidyverse

Data manipulation: filter, mutate, group_by, summarize, join. Pipes (%>% and |>). Tidyr for pivot.

from UAH 2,500

Shiny applications

Interactive web applications: reactivity, inputs/outputs, plotly integration, shinydashboard.

from UAH 3,500

RMarkdown / Quarto

Automated reports: HTML, PDF, Word. Code + text + graphics in one document.

from UAH 2,500

Statistical analysis

t-test, ANOVA, correlation, regression (linear, logistic), chi-square, normality of distribution.

from UAH 2,500

caret / tidymodels

Machine learning in R: classification, regression, clustering, cross-validation, feature selection.

from UAH 3,500

How we work

TK analysis

We study the methodology, determine the requirements and scope of work

Coordination

We discuss details, terms and cost

Implementation

We write code, test, prepare documentation

Demonstration

We show the result, payment after confirmation

What is included in the job

R scripts with comments
ggplot2 visualizations (10+ plots)
Statistical tests with interpretation
RMarkdown/Quarto report (PDF or HTML)

Data set with explanation
Descriptive statistics (mean, sd, median)
Hypothesis testing (p-value, confidence intervals)
Free edits

Reviews

"Statistical analysis course - real estate market research. ggplot2, dplyr, linear regression. Report in RMarkdown - teacher was happy with the design!"

Kateryna L.

NaUKMA, Kyiv

"Shiny application for visualization of COVID data. Interactive plotly graphs, country and date filters. Deployed on shinyapps.io. Super!"

Andriy M.

LNU, Lviv

"Biostatistics course for Jagiellonian — medical data analysis. Survival analysis, Kaplan-Meier, Cox regression. All in R with ggplot2."

Oksana V.

Jagiellonian University, Kraków

All reviews

Frequently asked questions

R is a specialized statistics language with thousands of packages on CRAN. Python is more versatile. For pure statistics, biostatistics, and academic research, R is often the better choice. We work with both languages.

Yes, we create interactive Shiny applications with plotly graphs, DT tables, dashboards (shinydashboard/bslib). We can deploy on shinyapps.io or RStudio Connect.

Any: t-test (one-sample, two-sample, paired), ANOVA (one- and two-factor), Pearson/Spearman correlation, regression (linear, logistic, multiple), chi-square, Mann-Whitney, Wilcoxon, Kruskal-Wallis.

Yes, RMarkdown/Quarto is our standard for R projects. The report contains code, results, and explanations in a single document. We generate PDF, HTML or Word according to your requirements.

Descriptive statistics + visualization — from UAH 2,500. Full statistical analysis with regression — from UAH 3,000. Shiny application — from UAH 3,500. ML (tidymodels) — from UAH 4,000.