In this programming video, you will learn how to work with a real dataset consisting of almost a million records and use it to create a practical application that analyzes the market and identifies market trends.
I will teach you how to effectively manage large datasets, optimize your code for performance, perform useful calculations on the data, and we will learn about data visualization and creating charts to gain a better understanding of our data.
This practical application will leverage the power of our dataset to provide us with valuable insights.

👉 Get datasets from Bright Data: http://bit.ly/BrightDataLink

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Captions:
00:00 - Summary of the app that we'll build
03:59 - Where to get datasets
06:39 - Let's build our app
08:11 - Mapping the dataset
11:41 - Loading the data from the dataset to the app
15:04 - Displaying the data
18:36 - Customizing grid appearance
23:04 - Building search functionality with Asynchronous programming
29:08 - Making charts and data visualization
35:38 - Calculating inflation
43:52 - Analyzing market trends

👉 Code is on my GitHub: https://bit.ly/GitHubMarketAnalyzer

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