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R Programming Language is a programming language used for statistical computing and advanced data analysis. It is the language of choice for many data analysts and statisticians, allowing them to work with large amounts of data quickly and efficiently. The language provides a platform for manipulating, displaying and presenting statistical datasets related to various disciplines such as mathematics, computer science and engineering.
An R Programmer can create many types of statistical calculations such as linear and nonlinear models, hypothesis tests and experiments, clustering, classification and regression trees. Additionally, they can make custom metrics more accessible through the writing of functions, plots and charts to make them easier to read and interpret. Plus they can take data from various sources like text files, database systems or HTML webpages and transform it into tidy sets ready for further action. Of course all of this can be done with careful formatting in order to achieve the best possible results unlocking valuable insights from ever-increasing amounts of data around us.
Here's some projects that our expert R Programmers made real:
By hiring an R programmer on Freelancer.com, you get access to a versatile set of solutions tailored specifically to your needs that help you make sense of your data in a more meaningful way. This way you can draw important conclusions easily while freeing up resources that you can use in other endeavors. So if your business requires someone experienced in R Programming Language then why not give it a try and post your project on Freelancer.com?
From 37,140 reviews, clients rate our R Programmers 4.9 out of 5 stars.R Programming Language is a programming language used for statistical computing and advanced data analysis. It is the language of choice for many data analysts and statisticians, allowing them to work with large amounts of data quickly and efficiently. The language provides a platform for manipulating, displaying and presenting statistical datasets related to various disciplines such as mathematics, computer science and engineering.
An R Programmer can create many types of statistical calculations such as linear and nonlinear models, hypothesis tests and experiments, clustering, classification and regression trees. Additionally, they can make custom metrics more accessible through the writing of functions, plots and charts to make them easier to read and interpret. Plus they can take data from various sources like text files, database systems or HTML webpages and transform it into tidy sets ready for further action. Of course all of this can be done with careful formatting in order to achieve the best possible results unlocking valuable insights from ever-increasing amounts of data around us.
Here's some projects that our expert R Programmers made real:
By hiring an R programmer on Freelancer.com, you get access to a versatile set of solutions tailored specifically to your needs that help you make sense of your data in a more meaningful way. This way you can draw important conclusions easily while freeing up resources that you can use in other endeavors. So if your business requires someone experienced in R Programming Language then why not give it a try and post your project on Freelancer.com?
From 37,140 reviews, clients rate our R Programmers 4.9 out of 5 stars.I'm seeking an expert in biostatistics with a strong command of R for comprehensive data analysis on my dataset. The primary focus will be on ANOVA and generalized linear models. Ideal Skills and Experience: - Proficient in R programming - Extensive knowledge and experience in biostatistics - Expertise in ANOVA and generalized linear models - Strong data analysis skills
I need an expert data analyst to examine my CSV files. The analysis should track total revenue, sales volume, and profit margin across various time periods - daily, weekly, monthly, and yearly. Key Requirements: - Proficient in data analysis from CSV files - Capable of extracting and interpreting key metrics such as total revenue, sales volume and profit margin - Skilled in creating visual representations of data, specifically graphs and charts Ideal candidates should have a strong background in data analytics, and be able to present findings in a clear and concise manner.
the person must have great theoretical knowledge of data analysis and R should have great knowledge in below topics Aggregation Functions Data Distributions Data Transformations Weighted Data Models Fitting Aggregation Functions to Data Linear Programming Models Two Player Zero Sum Game Other Game Scenarios
I'm looking for an experienced data analyst who can help me with analyzing our customer data. The primary objective of this project is customer segmentation. Key Responsibilities: - Analyze our customer data to identify different segments - Provide insights on each customer segment Ideal Skills: - Proficiency in data analysis tools (e.g., Python, R, SQL) - Experience with customer data analysis - Strong understanding of customer segmentation techniques - Excellent communication skills to present findings in a clear and concise manner.
I am looking for a data analyst with expertise in the technology sector. The primary focus of this project is market data, specifically to identify and interpret trends within this industry. Ideal Skills: - Proficient in data analytics tools (e.g., Python, R, Excel) - Experience with technology market data - Strong ability in trend analysis - Excellent data visualization skills - Ability to present findings in a clear, concise manner
I'm looking for a Pine Script expert who can create several 'market internals' indicators for monitoring market breadth in the NIFTY index. These indicators will specifically include: VOLD – Volume difference between up and down stocks in the NIFTY (And other indexes especially NIFTY500) based on prior day close as well as current day open . ADD – Advancing issues vs declining issues in the NSE based on prior day close as well as current day open TICK – Upticks vs downticks in the NIFY and NIFTY500 stocks without regard to prior day close The indicators will be used on TradingView, utilizing its built-in data for the NIFTY market. Ideal candidates should have extensive experience in Pine Script and trading platform development, with a keen understanding...
I need help with a short statistics and probability quiz. The quiz comprises 1-5 short answer questions. Ideal Skills and Experience: - Proficient in statistics and probability - Experience with short answer quiz format - Ability to explain complex concepts simply
I need a machine learning model built to predict future crime rates at the state level, using historical crime data.
Python, tableau, business analytics, data science
I am looking for a data analyst who can help me derive insights from operational data. Your responsibilities will include: - Analyzing operational data to uncover trends, patterns, and insights that can inform business strategies. - Using predictive modeling techniques to forecast future operational performance. - Monitoring performance over time to assess improvements or declines. The ideal candidate will have experience working with CRM systems and a strong background in data analytics, specifically with operational data. Proficiency in predictive modeling and performance tracking is highly desirable.
I am in need of an expert to help me with multiple regression analysis for a research paper. The data is fully prepared and ready for analysis. Specifically, I need assistance with: - Model Fitting: Finding the right model for the data. - Interpreting Results: Understanding the output of the analysis and what it means for my research. Ideal candidates for this project should have: - Extensive experience with multiple regression analysis. - Strong skills in model fitting and result interpretation. - Ability to explain complex statistical concepts in an understandable way. - high UK university standard
I need an econometric expert to help me analyze trade flows with the aim of evaluating policy impacts. This project involves: - Utilizing critical datasets from UNCTAD and WITS. - Performing econometric analysis using Stata. Ideal candidates should have a strong background in econometrics and trade analysis, with proven experience using Stata or any other platform and working with UNCTAD and WITS data. The whole project will be based on a video meeting where the successfull applicant will be asked to share their knowledge THIS IS NOT AN ACADEMIC TASK, more like a single tutoring session
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