Send Personal Finance Budgeting Excel Spreadsheet

Services:

• Cleansing and Preparing Data
• Analysing and Exploring Data
• Analyzing and Visualizing Data
• Reports and Dashboards
• Exploratory Data Analysis (EDA)
• Data bias and formatting
• Statistical Analysis
• Outlier Removal

Technology Stack:

• Python Pandas, Numpy, Matplotlib, Seaborn, Jupyter Notebook, and many more useful libraries.
• R programming language, tidy verse, ggplot2, and many more.
• Spreadsheets, MS Excel, and Google Sheets.
• SQL Data sources include MySQL, SQL Server, MariaDB, and any other Relational Database source.

What is expected?

A Python script, R markdown, or iPython notebook containing the code as per your requirements. The output of the code contains exploratory Data analysis, Solutions to Business questions, Data visualizations, and valuable insights as per your requirements.

Prerequisites:

A Structured Data Source or Data file. Meta-data is optional.

Why me?

• Cost-effective
• Fast completion rate
• Assistance after delivery
• Great quality and robust code
• Experience in Programming languages
• Interaction through video meetings.

And many more