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Creating Python Dashboard using Dash
Check out other post about the dashboard Building the New Layout For the new layout of the dashboard, I wanted something more modular. The previous version felt like it was too cramped, so this time I wanted to make them more separate. I also wanted to separate the code into…
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Using EIA API to Extract Data from the US EIA Website
The EIA API allows user to connect and import historical publicly available data from the EIA website. There are many data regarding oil prices, utility prices, oil production rates, oil consumption rates, etc. This post is gathering data using the EIA API, and we will explore gathering data through the US EIA website using an…
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Using API to Extract Data from the US BLS Website
Users can access a wealth of historical data on numerous economic indicators, such as food, oil, utility prices, CPI values, and more, through the US BLS API. The BLS API is a useful tool for obtaining freely accessible data, which can then be used for analysis or development. It provides a practical and effective way…
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Gathering Additional Data to Improve the CPI Dashboard
Previously, I have talked about some of the plans for improving the dashboard. Gathering More Data Currently, the python dashboard only focuses on the oil prices, oil production, and oil consumption for different countries. I would like to expand more on the different kind of data to display on the…
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Analyzing Smart Device Usage: Bellabeat Case Study
This is the Bellabeat case study project from the Google Data Analytics Specialization, and the goal of this case study is to demonstrate the process of Ask, Prepare, Process, Analyze, Share, Act. These 8 processes are very important for doing data analysis, they ensure we get consistent, repeatable processes each time.
