Analyse Twitter data and do a deep dive into a hot trend.

Fear of missing out, curiosity, self-esteem, speed: it's like social media has changed our basic human needs; these baits are keeping us hooked and engaged. And Twitter is a master at this game. Elon Musk's tweets keep Wall Street on its toes; Trump's tweets have the potential of starting wars — Twitter has this huge influence on the world because of the type of its users. Data from Twitter-storms is available in near real-time. This means we can learn about the big waves of thoughts and moods around the world as they arise. So of course, we are not going to miss the chance to analyze this treasure trove.

In this Project, you will use pre-downloaded datasets to understand the nuts and bolts of Twitter Data. In particular, you will do a thorough analysis of a hot-trend.

Warning: Some of the tweets in the Twitter datasets contain explicit language.

• Python

• Data Manipulation
• Data Visualization
• Probability & Statistics
• Importing & Cleaning Data

1. Local and global thought patterns
2. Prettifying the output
3. Finding common trends
4. Exploring the hot trend
5. Digging deeper
6. Frequency analysis
7. Activity around the trend
8. A table that speaks a 1000 words
9. Analyzing used languages
10. Final thoughts