Exploratory and explanatory Data Analysis
Although exploratory and explanatory visualizations have slightly different aims—to discover hidden patterns vs. to communicate insights and messages in the data—good exploratory visualizations explain what is going on and good explanatory visualizations let people explore the ideas
Data Analysis of Fast Food restaurant in the US
The overall purpose of this study was to identify fast food land invasion in each state and which are the leading brands and how they affect the evasion.
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A Quick Analysis of Wine Dataset and countries that Produce Fine Wine
we consider a set of observations on a number of red and white wine varieties involving their chemical properties and ranking by tasters. Wine industry shows a recent growth spurt as social drinking is on the rise.
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Dealing with Missing Data
Data Scientist spend most of their time dealing with messy data, in fact, 80% of a complete Data Scientist project can be dealing with inconsistent and messy data. I this article we're going to see how we can anlyse a data set and actually discover trends on what to do with missing or inconsistent data.
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Data Understanding and Exploratory
In this Notebook (completed while doing data understand course with IBM) we're going demonstrate the use of Pandas in Python to perform exploratory data analysis and do the necessary data preparations before creating predictive models. We also investigated the relationship between input variables and target variables.
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