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We first import the necessary libraries and load the sales dataset using Pandas. Ensure that your dataset is in the appropriate format (e.g., CSV) with columns such as Category, Sales, and Date.
Built a Python Expense Tracker with features like recording, category management, Excel export, and basic analysis. User-friendly CLI, ... Predefined expense categories (e.g., groceries, ...
Top 10 Python Libraries for Data Cleaning and Preprocessing to Enhance Your Data Analysis Tasks In data science, data cleaning and preprocessing are key steps i. About Us; ... It includes a wide range ...
This online data science specialization is designed for learners with little to no programming experience who want to use Python as a tool to play with data. You will learn basic input and output ...
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