Storytelling With Data Cole Nussbaumer Pdf !!TOP!! Download

In the first chapter Nussbaumer talks about the main difference of storytelling with data and other well known storytelling techniques. Her approach is to explain how to create a narrative from data using science, data visualization, neurological analysis and professional storytelling. While she explains the main techniques, she also uses popular books on all the mentioned subjects to present a complete overview of the topic.

In the next chapter, Nussbaumer describes what makes good data presentation and technical data presentation. She discusses the most important statistical concepts to be introduced to every data analyst and the many pitfalls this book is not offering their authors. Nussbaumer explains first the source of data: the data paper and then the data presentation step by step. She uses real-world examples to help the reader identify and understand the basic elements of a data paper. In the next step, the coach explains how to prepare a data paper before talking about data visualization. She uses different fields of study such as psychology, social sciences and finances to explain the basic human behavior. She also explains the data visualization step by step. Nussbaumer covers a broad spectrum of data visualization tools: tables, scatter plots, stacked bar charts, line charts, heat maps, pie charts, box plots and polar plots.

Chapter 4 is dealing with data and narrative. Nussbaumer talks about the big issues in data presentation. She explains how to distribute data information over time if there are different durations for the data. She also explains how to choose the best data type. Nussbaumer explains first the statistical key concepts to use. She focuses on the data analysis with the help of R and Python. She explains the basic concepts that most data analysis software rely on -- such as the data structure, a vector, a data frame and a matrix. She also explains basic data management, cleaning and manipulation software. She also discusses basic concepts in quantitative and qualitative data analysis. She explains the most used statistical tools such as frequency tables, scatter plots, line graphs and bar charts. She also describes methods of statistical testing. d2c66b5586

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