How to write a data preparation and visualization report on netflix top 10
Added by Jessica A.
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g., to analyze and visualize the top 10 Netflix shows or movies based on a specific metric such as viewership, ratings, or popularity. Show more…
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Constructing, Exploring, and Preparing a Data Set For this assignment, you will return to your role as an intern at Nutri Mondo, an organization that uses data science to address issues related to food insecurities and other food-related issues. Read the message from the director of Nutri Mondo, Susana Maciel, to set the context for your assignment this week: Hello, So, I just want you to know that the data science team is telling me you are doing great! I hope you feel the same way. I know data science gets pretty technical. But I promise you that this team not only loves what they do, they are great at explaining their processes if you don't have all the technical skills they do...yet. Now that you are up to speed with our project on food insecurity, you know that the next step of the data science methodology is Data Understanding and Data Preparation. The team will explain it a lot more, and there is some content from IBM that will go over the general details as well. And just so you know, I am as excited as you are to see how the data science team constructed their data set from the data they collected and how they are exploring and preparing the data—I haven't seen it yet! I am sure I will read all about it in your next reports. Regards, Susana Maciel Director Nutri Mondo Go to the World of Data Science to visit São Paulo and Miami to view the Data Understanding and Data Preparation video. For this assignment, write a report to your director at Nutri Mondo. In your report: Describe the steps taken by the data science team to construct the data set for the case study. Describe the initial patterns identified by the team and what these patterns might mean. Describe how the data science team is exploring and preparing the data.
Sri K.
The movie industry is a competitive business. More than 50 studios produce hundreds of new movies for theater release each year, and the financial success of each movie varies considerably. The opening weekend gross sales ($ millions), the total gross sales ($ millions), the number of theaters the movie was shown in, and the number of weeks the movie was in release are common variables used to measure the success of a movie. Data on the top 100 grossing movies released in 2016 (Box Office Mojo website) are contained in the file Movies2016. Table 3.10 shows the data for the first 10 movies in this file. Managerial Report: Use the numerical methods of descriptive statistics presented in this chapter to learn how these variables contribute to the success of a movie. Include the following in your report: 1. Descriptive statistics for each of the four variables along with a discussion of what the descriptive statistics tell us about the movie industry. 2. What movies, if any, should be considered high-performance outliers? Explain. 3. Descriptive statistics showing the relationship between total gross sales and each of the other variables. Discuss. TABLE 3.10: Performance Data for Ten 2016 Movies Released to Theaters Movie Title Opening Gross Sales ($ Million) Total Gross Sales ($ Million) Number of Theaters Number of Weeks in Release Rogue One: A Star 155.08 532.18 4,157 20 Wars Story Finding Dory 135.06 486.30 4,305 25 Captain America: 179.14 408.08 4,226 20 Civil War The Secret Life of 104.35 368.38 4,381 25 Pets The Jungle Book 103.26 364.00 4,144 24 132.43 363.07 3,856 18 Zootopia 75.06 341.27 3,959 22 Batman v Superman 166.01 330.36 4,256 12 Dawn of Justice Suicide Squad 133.68 325.10 4,255 14 Sing 35.26 270.40 4,029 20
Madhur L.
Project preparation and formatting guidelines During the semester, each student will work on an analytics project that requires the application of the statistical tools and methods learned in the course to a real business problem. A dataset will be provided for this purpose. The project will be carried out in two distinct phases and will culminate in a final report not exceeding 3 pages, including all tables and figures (Times New Roman 12-pt font, single-spaced with 1-inch margins on all sides). The phases of the project are: Phase 1: In this phase, the student will write up a "project proposal" (1 page maximum, same format as the final report) that will include a brief introduction, description of the data, the business questions to be answered, and basic exploratory analyses using descriptive statistics (graphs and numerical summary measures). Phase 2: In this phase, the student will use the work from Phase 1 in conjunction with the feedback received from the instructor to complete all the analysis required to address the business problem. The results and final conclusions should then be written up and the final report submitted. Your report should have the following sections (Phase 1 – proposal; Phase 2 – final report), arranged sequentially: 1. Introduction and problem background (Phase 1, Phase 2) 2. Data description and the business questions to be answered (Phase 1, Phase 2) 3. Initial data exploration – descriptive statistics/graphs (Phase 1, Phase 2) 4. Analyses (Phase 2) 5. Interpretation of results and final conclusions and recommendations for decision-making (Phase 2)
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