Hello there, fellow data enthusiast! ๐งโ๐ป๐ฉโ๐ป Welcome to our super cool Python app that works magic with Excel data! ๐ฉโจ This app is all about handling and analyzing financial data from .xlsx
files, making your life a whole lot easier and your data a lot more insightful! ๐๐ก
To get started with this app, you'll need to have Python installed on your machine. If you don't have it yet, don't worry! It's easy to install. Just visit Python's official website and follow the instructions for your operating system.
Once you have Python, you're ready to set up your virtual environment and install dependencies. Here's how:
- Open your terminal or command prompt.
- Navigate to the project's directory using
cd path/to/your/project
. - Create a virtual environment:
python -m venv venv
- Activate the virtual environment:
- On Windows:
venv\Scripts\activate
- On MacOS/Linux:
source venv/bin/activate
- On Windows:
- You should now see
(venv)
in your terminal, which means you're in the virtual environment! ๐
Our app relies on some awesome Python libraries, like pandas
! To install them, just run:
pip install pandas
To run the app, make sure you're in the project directory and your virtual environment is activated. Then, simply run:
python app/main.py
Our app will read data from an Excel file, perform some nifty data manipulations like grouping, filtering, and summing values, and then display the transformed data right back at you! ๐๐
- Data Loading: We start by loading data from an Excel file. ๐โก๏ธ๐ข
- Data Cleaning: Trimming those pesky whitespaces from column names. ๐งนโจ
- Data Processing: Grouping, filtering, and assigning unique identifiers to specific data rows based on certain conditions. ๐๐
- Data Analysis: Summing up values and formatting them into a more readable currency format. ๐ต๐งฎ
- Results Display: Showing the processed data in a clear and concise way. ๐ฅ๏ธ๐
Love our app? Want to contribute or suggest some cool new features? Feel free to open an issue or send a pull request on GitHub. Your input is super valuable to us! ๐ฌ๐