Objective [ What is the goal of this report? E.g., Goal: Build a predictive analytic (linear regression) model for predicting the average number of days NYC Taxi Drivers need to be on road for providing service.]

Project Overview/Summary/Overall Contribution What are the insights/useful information you plan to retrieve from the dataset for your target audience (e.g. manager in a business organization)? Explain the motivation/importance/significance of conducting your project. Show any evidence from any websites such as CNN, LA Times, NY Times (real-life examples) of the problem that you are aiming to solve.

Data analysis [Describe the following data analytic skill sets that you will apply on your project:-

Data Collection [ Describe your data set collection- e.g. source(s) of data, including URLs. ]

Data Exploratory Analysis- e.g. Make appropriate visualization charts (e.g., build box & whisker, pivot tables, scatterplots, stacked/clustered bar charts, pie charts, etc.) to identify your data distribution and detect outliers for explaining the general patterns of your data. [ Describe any general patterns (e.g. stationary vs. non-stationary trend) you found from observing your visual charts. For example, were there any patterns for a specific variable across time that were indicative of any outliers? Include both patterns you observed, and patterns you creatively brainstormed. Where relevant, specify how common each pattern is across various time intervals.]

Regression Analysis- use simple/multiple linear regression analysis for testing the relationship between the predictor(s) (i.e., x-variables) and y-variable, and build the best model for prediction.

Specifics [ Clearly describe your findings, including visual charts and screen captures wherever appropriate.]

Recommendations For Managers (and/or for any stakeholders in a business industry) [ Using bullet points, each starting with an action verb, describe what next steps a target company/organization/community (e.g. NYC taxi committee) should take to increase demand, sales, reduce cost, reduce returns, improve customer satisfaction and/or otherwise improve their service(s). Please group your recommendations under subheadings for various business stakeholders of the company such as Company manager, Product designers, Director of Quality, and/or CEO and/or other personnel.