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Data analysis Assignment Help | Sample Assignment

Updated: Nov 24

Are you facing issues with data analysis assignment? Are you grappling with the intricacies of the dataset contained in the file “us-names-by-decade.csv”? Navigating through features such as Gender, Name, Decade, and Count can be a challenging task. At CodersArts, we recognize the complexity of this assignment and are ready to provide expert guidance to help you unravel the insights hidden within the data.

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At CodersArts, we specialize in delivering comprehensive solutions for complex assignments like the one presented here. Whether you are a student aiming to conquer data computation tasks or a professional looking to refine your data analysis skills, we have tailored solutions to meet your specific needs. Our expertise extends beyond this project, covering fields such as cloud computing, big data analytics, and more.

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We understand the challenges you may face in handling extensive datasets and developing scalable cloud solutions. That's why we provide a sample assignment solution to give you a glimpse of our capabilities. If you need assistance with this assignment or have similar tasks at hand, don't hesitate to reach out.

Sample Assignment

Assignment Detail

You are required to use the dataset contained within the file “us-names-by-decade.csv”, which contains the following features:

Gender - Gender of Individual – (M) Male, (F)Female ·

Name – First Name of Individual ·

Decade – 10 Year Period – 1990 = 1990-1999 ·

Count – Number of Individuals that were given the name detailed in the Name feature in the decade indicated in the Decade feature, e.g., “F”, “Olivia”, ”2010”, “184355” = The number of Females named Olivia in the years 2010 -2019 was 184355

And then perform the following analysis:

  1. You are then required to explain what you plan on doing with the data. E.g., Why did you choose the specific visualisations, etc.? This must be detailed in the Mark-up of the Jupyter Notebook and include the rationale for your choice.

  2. Generate a plot that details the top 5 number of Names for each of the Decades.

  3. Plot a graph depicting the distribution of names greater than 100,000, and that is, females in the decade 1980.

  4. Find out and visualise which decade had the MOST names.

  5. Observe and visualise the average number of names per decade.

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Our team comprises cloud computing experts with a wealth of industry experience. We offer tailored solutions that match your proficiency level and the unique demands of your project. Timely support is our priority, recognizing the importance of meeting deadlines. Our commitment goes beyond completing your assignment; we make sure you thoroughly comprehend the core concepts of cloud computing and data processing. Additionally, our competitive pricing makes expert guidance in cloud computing and big data analytics within reach for all.

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