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Aviral Akash

@AviralAkash
  • AVIRAL_AKASH==>medical-data-visualizer

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    Made with Python

    In this project, you will visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations.

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  • AVIRAL_AKASH==>page-view-time-series-visualizer

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    Made with Python

    For this project you will visualize time series data using a line chart, bar chart, and box plots. You will use Pandas, matplotlib, and seaborn to visualize a dataset containing the number of page views each day on the freeCodeCamp.org forum from 2016-05-09 to 2019-12-03. The data visualizations will help you understand the patterns in visits and identify yearly and monthly growth.

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  • AVIRAL_AKASH ==>demographic-data-analyzer

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    Made with Python

    In this challenge you must analyze demographic data using Pandas. You are given a dataset of demographic data that was extracted from the 1994 Census database. You must use Pandas to answer the following questions:

    How many people of each race are represented in this dataset? This should be a Pandas series with race names as the index labels. (race column) What is the average age of men? What is the percentage of people who have a Bachelor's degree? What percentage of people with advanced education (Bachelors, Masters, or Doctorate) make more than 50K? What percentage of people without advanced education make more than 50K? What is the minimum number of hours a person works per week? What percentage of the people who work the minimum number of hours per week have a salary of more than 50K? What country has the highest percentage of people that earn >50K and what is that percentage? Identify the most popular occupation for those who earn >50K in India.

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  • AVIRAL_AKASH ==> Mean-variance-standard-deviation-calculator

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    Made with Python

    Mean-Variance-Standard Deviation Calculator:- Create a function named calculate() in mean_var_std.py that uses Numpy to output the mean, variance, standard deviation, max, min, and sum of the rows, columns, and elements in a 3 x 3 matrix.

    The input of the function should be a list containing 9 digits. The function should convert the list into a 3 x 3 Numpy array, and then return a dictionary containing the mean, variance, standard deviation, max, min, and sum along both axes and for the flattened matrix.

    Recent comments (7)
    BabbyZee
    BabbyZee
    2 months ago

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    c00lkiddjonnow
    c00lkiddjonnow
    8 months ago

    ay you just forked it from aviralakash/boirlerplate!!!!!!!!!!!!!!!!!!1

    htmlhero
    htmlhero
    10 months ago

    baby back ayy

    PixelRunner
    PixelRunner
    10 months ago

    what

    AnhNguyen181
    AnhNguyen181
    10 months ago

    66b21427-a252-471e-98e5-7dfdf55a23da

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