If you've ever wondered...

• How to convert a CSV file to Excel without losing data ?
• Which file format to choose to optimize storage and data exchange ?
• How to quickly and efficiently convert a JSON file to XML ?
• Why use the Parquet or Feather format instead of a simple CSV ?
• How to convert an HDF5 file to CSV without losing its hierarchical structure ?
• What is the difference between Pickle, RData, and SPSS for data storage ?
• How to prepare a data file compatible with a specific software ?

💡 I offer a custom data file conversion service: transform your datasets into the most suitable format for your needs without data loss or errors.

Data files are at the heart of our exchanges, storage, and analysis, bringing numbers and ideas to life.

Each format tells a different story : a CSV table loaded with valuable statistics, or a JSON file structured like a world of nested information. Behind every file type lies a tool designed to meet specific needs and simplify our explorations.

Choosing the right format means selecting the key that unlocks clearer and more effective understanding of your data.

Here are some of the most commonly used data file types to give meaning to your work.

1. Structured Data Files (Storage and Exchange Formats)

CSV (.csv)
Excel (.xlsx, .xls)
JSON (.json)
Parquet (.parquet)
XML (.xml)
HDF5 (.h5)
TXT (.txt)
Feather (.feather)
YAML (.yaml)
Pickle Files (.pkl)
RData (.RData)
SPSS Data Files (.sav)

2. Script Files and Notebooks (Code Files for Data Analysis and Manipulation)

R Script (.R)
Python (.py)
Julia Scripts (.jl)
MATLAB Scripts (.m)
SAS Scripts (.sas)
Stata Scripts (.do)
SPSS Scripts (.sps)
Jupyter Notebooks (.ipynb)

3. Database Files (Formats for Storing Complete Databases)

SQL (.sql)
SQLite (.db, .sqlite)

And many more !

They are used to organize, query, and share data, avoiding redundancy and optimizing access.

These formats and languages are widely used across various fields of data science, statistical analysis, and scientific computing.

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As for me, what I offer as a freelance data analyst focuses solely on marketing and big data.

I am proficient in the entire data analysis process 👇

Data Cleaning : Preparing raw data by correcting or removing errors, duplicates, or inconsistencies.
Data Manipulation : Transforming and organizing data to make it actionable (filtering, grouping, calculations).
Data Mining : Exploring cleaned and manipulated data to discover patterns, relationships, or trends.
Data Visualisation : Visual representation of results to make information understandable and actionable.

What makes my services the right choice ?

Broad Expertise : My experience spans data analysis, research, and report writing. My data analyst training ensures a structured and methodical approach to every project.
Insights from Your Data : I specialize in transforming your data into actionable insights, empowering you to reach your goals effectively.

I will process up to 2 files at most.

Any questions ? Feel free to send me a message ☺️

Why order from me and via the comeup.com platform ?

By choosing to order via comeup.com, you are opting for the excellence and transparency of an ecosystem dedicated to professionals.

• Quality and expertise: The platform brings together hand-picked freelancers, recognized for their expertise and know-how in various fields. Each service is evaluated by a community of satisfied customers, thus ensuring a high and reliable level of quality.

• Security and trust: Comeup.com guarantees a secure and transparent ordering process, from the initial contact to the final payment. Reviews and ratings from previous clients give you an overview of the quality of service, reinforcing confidence in your decision.

• Support and guidance: Thanks to responsive customer service and personalized follow-up, the platform ensures that each project runs smoothly. You benefit from tailor-made support to transform your needs into concrete results.

Opting for my services via comeup.com is therefore choosing efficiency, reliability, and a win-win partnership, where every detail counts to make your project a success.

FAQ (Frequently Asked Questions) 👇

Can you work with confidential data ?
👉 Yes. I handle all data with the utmost confidentiality and ensure that security protocols are followed.

Can you provide examples of your work ?
👉 No, as I do not retain client data. I can only describe the types of projects I've worked on.

What is your past experience in data analysis ?
👉 Through my training in finance, I developed strong expertise in handling, analyzing, and projecting financial data using tools such as Excel, VBA, Python, and R.

• Market finance correlation analysis: Studied the impact of operating systems on developers' code efficiency.
• Hospital satisfaction analysis: Explored a patient database to evaluate hospital experiences using R and Excel VBA.
• Real estate econometrics: Built a predictive model for real estate prices in a specific geographic area using SQL and Python.
  Reproduction of scientific analyses: Assisted psychometrics students in replicating quantitative analyses from a scientific article.

My other services 👇

I will analyze your data and datasets using python for programming

I will analyze your data and make a report

I will carry out a statistical and econometric analysis of your data

I will analyze your Excel VBA data

I will convert your data files

I will turn your data into gold with Power Query

I will create your tracking solution in Excel

I will be your dedicated data scientist

I will analyze your dataset with Weka and perform machine learning

I will write 100 lines of code

I will write some code lines in Julia for you

I will obfuscate your code or data

I will optimize your company's business performance