Json graph visualization11/11/2023 ![]() In the data folder, create a churn_data.csv file and add the content here to the file. Tenure feature: Tenure is a continuous feature that describes the number of months the customer has stayed with the company.Contract feature: The contract feature describes customers’ contract terms with the example company and has three classes: month-to-month, one year, and two years.The analysis covers the following features: The preprocessed data is serialized to JSON format before serving it to the index.html file. ![]() Python’s Pandas and NumPy libraries are used for data wrangling operations. The app.py Python script is a Flask instance that contains the entry point, routing, and endpoint. Here, D3.js will render the respective charts using JavaScript.īelow is a graphical representation of the environment we just built: The Flask app receives the customer churn data and performs a data wrangling operation with Python, then sends the formatted data to the data dashboard. Upon successfully installing the required Python packages, you can proceed to set the project file structure and required files as shown below. If you’d prefer to fetch the file from the requirements.txt file found in the GitHub repository for this project, run the following command after copying the content of the file in the repo to your project: pip install -r requirements.txt The version numbers generated in your requirements file may be different from what is written here because this depends on the type of application you’re building and the versions of the packages you have installed when building your app. The requirements.txt file should contain the following packages, at a minimum: Run the following command to generate a requirements.txt file that contains the project dependencies: pip freeze > requirements.txt Install the NumPy library: pip install numpy Install the Pandas library: pip install pandas Install Flask from your terminal using the following command: pip install Flask Your terminal should have the virtual environment name in parentheses after activating it as shown below: In the project root folder, execute: source flask/bin/activate The virtual environment must be activated before you can install packages. Navigate to the project root folder and create the virtual environment: virtualenv flask Overview of the project workflowīegin by creating a virtual Python environment. It is essential to create an isolated local environment to specify the various installed packages and versions that only apply to this project to prevent global installations and package collisions. ![]() Both frameworks have a huge community of developers who are actively improving the libraries and may be able to provide help if needed. Likewise, Flask is beginner-friendly and you can develop simple Flask web apps based on your fundamental knowledge of Python. They are also both open-source projects, which implies that you can build on both source codes and contribute your features to them.Īlthough D3 has gained a reputation for having a steep learning curve and not being so beginner-friendly, your strong knowledge of HTML, CSS and SVG should be sufficient to get you started on D3. When combined with D3, which is very fast in terms of interactivity, the overall user experience can be quite pleasant. The amount of visualizations you can create with D3 is nearly limitless and is bound by your level of creativity.įlask is most suitable for building lightweight applications. D3 gives you flexibility and complete control of your visualization, allowing you to customize your data however you want. ![]() Why should Flask and D3 be used together?įlask and D3 require minimal development time compared to other frameworks.
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |