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You will get Data Cleaning + QA (R)

Arooj I.Status: Offline
Arooj I.
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Let a pro handle the details

Buy Data Entry & Cleaning services from Arooj, priced and ready to go.
Arooj I.Status: Offline
Arooj I.
Preview imagePreview imagePreview imagePreview image

Let a pro handle the details

Buy Data Entry & Cleaning services from Arooj, priced and ready to go.

Project details

I will turn your messy CSV/Excel dataset into a clean, analysis-ready file using R. I fix missing/invalid values, remove duplicates, standardize labels, parse dates, and ensure correct data types—then run QA checks (missingness + range/consistency checks) so your data is defensible.

You’ll receive a cleaned dataset plus a clear summary of what changed. Standard/Advanced tiers also include a reproducible R cleaning script (and an optional short RMarkdown/Quarto report) so the workflow can be reused and audited.
Data Tool
R
What's included
Service Tiers Starter
$35
Standard
$60
Advanced
$90
Delivery Time 2 days 3 days 4 days
Number of Revisions
112
Optional add-ons You can add these on the next page.
Fast Delivery
+$20 - $40
Additional Revision
+$15
Arooj I.Status: Offline

About Arooj

Arooj I.Status: Offline
R Data Analyst | Data Cleaning, Statistical Modelling & Reporting
Shahkot, Pakistan - 8:10 am local time
Environmental Data Analyst specializing in R, statistics, and data cleaning. I help clients turn messy datasets into reliable insights—through careful preprocessing, robust modelling, clear diagnostics, and reproducible reporting (R Markdown/Quarto). Examples of my work (KPI reporting, A/B testing, forecasting) are in my portfolio below.
Alongside client work, I contribute to a remote research project in historical ecology (wildlife + drought impacts) supervised by Dr David Peacock (University of Adelaide, Australia).

How I can help
Data cleaning, validation, and restructuring (wide ↔ long), tidy workflows
Statistical analysis: ANOVA, regression, GLM/GLMM, mixed models, repeated measures
Experiment analysis & design support (factorial, randomized blocks, split-plot; A/B-style comparisons)
Assumption checks, diagnostics, residual analysis, sensitivity checks
Clear tables/figures and concise written interpretation for stakeholders or manuscripts

What you receive
Clean analysis-ready dataset + R script / R Markdown report
Model outputs with diagnostics and key takeaways
High-quality tables/figures ready for reports, slides, or publication
Plain-language interpretation and next-step recommendations

Whether your project is business analytics, KPI reporting, academic research, or publication support, I deliver accurate, transparent, and reproducible results in R.

Steps for completing your project

After purchasing the project, send requirements so Arooj can start the project.

Delivery time starts when Arooj receives requirements from you.

Arooj works on your project following the steps below.

Revisions may occur after the delivery date.

Review & confirm scope

I check the file, confirm variables, and agree on cleaning rules + deliverables.

Clean & standardize data

Fix missing/invalid values, duplicates, inconsistent labels, date formats, and data types.

Review the work, release payment, and leave feedback to Arooj.