Streamlit based app to generate insights and anomalies in data

Get to know your data through historical descriptive analysis. Identify interesting insights and anomalies in the data sets. In this video, SpringML leverages Snowflake along with Google’s Cloud Run product to deploy the Streamlit-based application that automates the coding and visualization processes without the need for data aggregation. Here we have a use case of cricket matches, where we analyze the data based on dimensions, metrics, and dates, to create a descriptive table.

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