Modeling: Before we can do data analysis

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To use MySQL for data analysis, we need to follow these steps:

Collecting Data: First, we need to collect data from different data sources and store it into a MySQL database.
Data cleaning : The collected data may contain errors, missing or duplicate data. Before data analysis, we need to clean the data to ensure its accuracy and consistency.
Data , we need to model the data. This includes defining the uruguay whatsapp lead data schema, creating tables, and defining relationships.
Data Analysis: Once we have completed data modeling, we can start data analysis. This involves querying the data, calculating metrics, and identifying trends and patterns.
Data Visualization : Finally, we can use data visualization tools to convert the data into graphs or charts to better understand the data.