How can I use information_schema.columns bigquery to analyze the performance of different cryptocurrencies?
I'm trying to analyze the performance of different cryptocurrencies using information_schema.columns in BigQuery. Can someone guide me on how to do this? What are the steps involved and what kind of information can I extract from the columns in the information_schema? I want to understand the performance metrics of different cryptocurrencies and compare them. Any help would be appreciated!
1 answers
- MrFairbunkleDec 14, 2021 · 4 years agoUsing information_schema.columns in BigQuery to analyze the performance of different cryptocurrencies is a great idea! Here's a step-by-step guide: 1. Connect to BigQuery and access the dataset that contains the cryptocurrency data. 2. Explore the information_schema.columns table to understand the available columns and their descriptions. 3. Identify the columns that hold performance-related information such as price, volume, market cap, etc. 4. Write SQL queries to extract the desired performance metrics from these columns. 5. Perform calculations and aggregations to analyze the performance metrics. 6. Visualize the results using charts or graphs to gain insights. By analyzing the performance of different cryptocurrencies, you can better understand their market behavior and make informed decisions in your investment strategy.
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