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A financial report infographic titled 'Treasury Report on Receivables (TROR) 2016-2024' with charts and data on delinquent debt, balances, and receivables by year and type, featuring bar and line graphs, and financial figures in billions.
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Cover slide of a presentation titled 'Economics & Consumer Behavior' with a subtitle 'Great Recession & COVID-19 2005-2022'. The background features a glass globe on top of various US dollar bills.
Slide titled 'Overview' with background of blue abstract waves, discussing the impact of the Great Recession and COVID-19 on personal consumption expenditure and economic health.
Infographic displaying unemployment rates, personal consumption expenditure, and household income for California, New York, and North Carolina from 2005 to 2022.
Line graph showing unemployment rate trends from 2004 to 2022 with peaks during 2008, 2010, and 2020, and average PCE spending in household income from 2004 to 2023 with consistent increase over the years.
Slide titled 'Conclusion' with a paragraph discussing the interconnectedness of personal consumption, unemployment, household income, economic shocks like the Great Recession and COVID-19, and the importance of understanding these dynamics for policy
Slide with the title 'Environment: Air Pollution' over a background of dark gray smoke or pollution clouds, discussing air pollution during the Great Recession and COVID-19 from 2005 to 2022.
Slide about air pollution with an image of industrial smokestacks releasing smoke at sunset, discussing effects of COVID-19 pandemic and Great Recession on air quality and energy consumption.
Map of the United States highlighting California, North Carolina, and New York; bar chart comparing average AQI values and PM2.5 concentrations; pie charts showing air pollution data from 2004 to 2022.
Graphs showing trends in air pollution, specifically PM2.5 levels, average death rates, and personal consumption expenditure from 2004 to 2022, with data on AQI values in New York, California, and North Carolina.
A view of a city skyline with a large plume of smoke and pollution rising into the sky during sunset, highlighting environmental concerns.
Title slide for a presentation on data science salaries at the University of North Carolina Greensboro, titled 'Salary Trends for Data Science Roles Based on Different Factors,' presented by Sylvie Essonge, Mary Ruden, Selam Mebarhtu, and Dr. Rahul S
Slide titled 'Problem Formulation & Objective' with introductory paragraph about the importance of data science in business decision-making and the role of data scientists. The slide includes a section labeled 'Objective' that states investigating sa
A webpage section titled 'Questions' with four related questions about data science salaries, roles, and factors influencing salaries.
Screenshot of a presentation slide showing an agenda for a discussion on data science salary, including topics like introduction, problem formulation, objectives, data sources, specific questions, interpretation, and conclusion.
Slide titled 'Data Source and Preparation' with text explaining data analysis of data science salary trends from Kaggle and ai-jobs.net, including definitions for work year, experience level, employment type, job title, salary, salary currency, and s
A screenshot of a Tableau data preparation tutorial, showing a list of data cleaning steps in a blue text box and a data flow diagram at the bottom.
Map showing average salaries for data science roles across various countries, with specific salary figures for the United States, Colombia, Australia, Moldova, India, Philippines, and others. Bar chart below illustrates average salaries per continent
The image shows two bar charts comparing the average salary of different roles. The first chart displays salaries in various countries, highlighting that machine learning roles in Egypt and India have higher salary ranges, while Data Analysts in the
Line graphs showing the variation of salaries in the data science field over time based on job titles. The left graph depicts the five lowest average salaries, with the lowest being $54,870 in 2020 and trending upwards. The right graph shows the top
Line graph depicting variation in average salaries of data science-related job titles over work years from 2020 to 2024, with annotations indicating the highest average salary of $259,965 and the lowest average salary of $54,377.
A presentation slide showing data on the relationship between company size, salary, and experience level. It includes a bar chart comparing average salaries across large, medium, and small companies, and a diagram illustrating salary differences by e
A chart comparing salaries of different data science and related job titles, showing that Machine Learning Engineers, Data Science Managers, Data Architects, and Analysts have the highest average salaries.
Graph comparing data science salaries over time and by company size, highlighting that executives at medium-sized companies have the highest average salary of $185,035.
A digital chart displaying data on factors influencing salaries in data science, with maps showing average salaries by experience and location, highlighting Ukraine with the highest average salary of $232,489. It also includes a line graph of top job
A screenshot of a text document explaining the interpretation of data related to income and job titles across different countries. It discusses how countries like Canada, the USA, and Australia rank highest in earnings, while Asia and Africa have low
Screenshot of a presentation slide with a blue header, showing the 'Conclusion' section, discussing data science salaries, trends in roles like machine learning scientists, data managers, engineers, and analysts, and the importance of understanding t