Apply the following seven visualization methods to explore real-world data sets from UCI public data repository (https://archive.ics.uci.edu/ml/index.php). You may choose any data set you like. For the visualization method, please discuss the potential patterns of the data set based on the visualization functions. 1. Histogram 2. Scatter plot 3. Line plot 4. Pie chart 5. Box plot 6. Correlation matrix plot 7. Word cloud What you need to include in your submission: • Your Python code. Use Matplotlib (and/or Seaborn) is required! • Screenshots of your Python code • Description (written in PDF file) of your findings by applying each visualization method.

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Fundamentals of Datawarehouse

A data warehouse is a data repository which is used to store large quantities of historical data that are mostly used for creating reports that help businesses to identify their weaknesses and strengths. For example, demographics data about people of a region can help businesses identify the needs and preferences of the region’s population. A data warehouse acts as a central storage for storing data that comes from one or more heterogenous sources. It also consists of data which can be old and of historical value. One of the most important applications of this type of system is that it is used for supporting business intelligence and data analytics applications.