Here, I'm showing an employee report which includes the departments in the company, the salaries, the distribution by location, the gender distribution and the growth of the employees number by year.
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In this project I've anlayzed the movies based on the company, country, genre and gross and I've done some corrleations for the movie features and visualized them with graphs.
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This is a data exploration project for COVID-19 data using SQL databases the skills used: Joins, CTE's, Temp Tables, Windows Functions, Aggregate Functions, Creating Views, Converting Data Types.
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For this project I visualized time series data using a line chart, bar chart, and box plots. I used 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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In this project, I visualized and made calculations from medical examination data using matplotlib, seaborn, and pandas. The dataset values were collected during medical examinations. Data description The rows in the dataset represent patients and the columns represent information like body measurements, results from various blood tests, and lifestyle choices. You will use the dataset to explore the relationship between cardiac disease, body measurements, blood markers, and lifestyle choices.
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I analyzed a dataset of the global average sea level change since 1880. The data was used to predict the sea level change through year 2050.
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We're looking for the Covid-19 Spread in this project, the deaths and recovery counts, the list of the countries with the most infected numbers and the location on the map to get a better picture of the most dangerous areas with the highest numbers.
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