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Best French-speaking R freelancers to hire in 2025

Looking to hire French-speaking R freelancers for your next project? Browse the world’s best R freelancers on Contra.

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Ahmad Karaki
Beirut, Lebanon
Cover image for R Shiny Dashboard with MySQL for Interactive Data Analysis
Cover image for Machine Learning-Powered Clustering Analysis for Survey Data
Cover image for Financial Forecasting Model (S&P 500 Return Prediction)
Cover image for Optimization of Supply Chain Management
Cover image for Weather-And-Global-Warming-Analysis
Cover image for EDA and Visualization of Indonesia Earthquake Over the past 20 …
Cover image for EDA-Technology-Trends
Cover image for Project Estimation and RFP Review for Web Solutions
Cover image for Summarize Big data into plots
Cover image for Use AI for data
Cover image for Modelling
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Nabil Nakbi
Fes, Morocco
Cover image for évaluation des politiques publiques avec python
Cover image for Analyse Économétrique de la Relation entre Chômage et Croissance
Cover image for Analyse RH : Pyramide des Âges, Ancienneté et effectifs
Cover image for Analyse des Ventes : Performance des Librairies et Comics
Cover image for Diakitech | AI & Software solution for data-driven industries
Cover image for Muslimπ | Edtech suite, 1 Academy and 6+ thematic apps
Cover image for YanaBook-Series
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FAQs

Start by clearly defining your project's goals. Write down what you need done, like data analysis or creating visual charts. The more details you have, the easier it is to find the right R expert.
Look at the freelancer's profile for experience with similar projects. Check their portfolio to see previous work. You can also read reviews from past clients to get an idea of their skills.
Talk about your project requirements and timeline. Ask for their input on how they would approach the project. Make sure you both agree on the key deliverables.
Create a list of tasks and deadlines for the project. Share this list with the freelancer and ask if it’s realistic. This helps everyone know what to expect from the start.
The freelancer should know how to use RStudio and related libraries like dplyr and ggplot2. If your project requires specific tools, mention them early. This helps in aligning the project's needs with the freelancer's expertise.
Set up regular check-ins and updates. Agree on a timeline for sharing progress, like weekly reports. This keeps everyone informed and helps address any issues quickly.
Include any code written during the project, as well as data visualizations or reports. Make sure everything is documented clearly for future reference. This ensures that the deliverables are useful even after the project ends.
Request samples or run a small test project before diving in fully. This helps evaluate their work quality. Providing clear feedback throughout also ensures the work meets expectations.
Agree on communication channels before starting, like emails or video calls. Decide on how often you will communicate about the project. Clear communication helps in resolving any potential issues smoothly.
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