This web application is the outcome of my data science project which focuses on analytic dashboard design. In this repository,you can find the data used to perform the analysis and a python script (app.py) that makes up the simple single-paged interactive dashboard.As stated before, the whole application was written in pure python and the libraries and frameworks used are as follows:
- pandas - data manipulation library in python
- numpy - for array operations
- plotly - for making interactive live charts
- Dash - a python framework built on top of flask and uses React.js under the hood to render the web components
A demo of the application is shown in the gif below, and the application can be accessed here
In today's business environment, the tendency is towards more and more data โ so much so that its called Big Data. Managing and extracting real value from all the data that is created and stored from all the apps and systems we use is quickly becoming a "BIG" challenge facing all businesses whether your small or large. Through the use of data visualizations and data analytics, data-driven organizations need to simplify complex processes into manageable, digestible chunks of information so that employees can focus on their day to day operations of the business thru flexible business dashboard software. Seeking ways to simplify data analysis and sharing insights to make data driven decisions is no longer a luxury and never been easier with the ease of sharing complex data sets to provide users with at a glance awareness of current performance that can be shared in a multitude of ways including mobile, wallboards, PDF reports, TVs and much more. Use dashboard reporting to track and monitor all your key performance indicators and business metrics in one place.A well designed dashboard is a remarkable and simple way to share information when and where needed.