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In this Repository, you will find project files for a project in which I analyzed a dataset and then communicate my findings about it. I used the Python libraries NumPy, pandas, and Matplotlib to make my analysis easier.

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Sobiaarshad22/Investigate-a-Dataset-

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Project: Investigate a Dataset -[Brazilian Medical Appointment Attendance System]

• Data Analysis- Patient’s Appointment system: This project was to help business understand and decide on fixing pain points around missing medical appointments in Brazil. This includes investigation of complex data set that collected information from more than 100,000 medical appointments in Brazil. After completing the project, I was able to:

Know all the steps involved in a typical data analysis process Be comfortable posing questions that can be answered with a given dataset and then answering those questions Know how to investigate problems in a dataset and wrangle the data into a format I can use Have experience communicating the results of my analysis Be able to use vectorized operations in NumPy and pandas to speed up my data analysis code Be familiar with pandas' Series and DataFrame objects, which let me access my data more conveniently Know how to use Matplotlib to produce plots showing my findings

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In this Repository, you will find project files for a project in which I analyzed a dataset and then communicate my findings about it. I used the Python libraries NumPy, pandas, and Matplotlib to make my analysis easier.

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