Sparql for Data Analysis
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Exploratory data analysis is a crucial step in creating a data visualization. In this video, I'll go over the four main types of exploratory data analysis: univariate, bivariate, multivariate and time series. Each one of these types has a different goal—univariate is used to get an overview of your data; bivariate is used to explore relationships between variables; multivariate is used to identify patterns within subgroups; and time series allows you to look at changes over time. To learn more about how you can use these tools to get a better understanding of your data, so that you can make the most informed decisions possible when creating a visual presentation for your audience, visit the link below. To read more visit: https://hsndigitally.com/what-is-exploratory-data-analysis-in-d
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