Rajeev Samarage, Melbourne Institute - Interactive computing and data visualization using Python

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Title: Interactive computing and data visualization using Python

Abstract: We are amidst a data revolution where large quantities of new data, with improving quality, are being generated at a staggering pace. With this, there is also an increase in the availability of large-scale administrative data or private sector data available for research on economic and social policy. With this increase in data, there has also been an increase in the computing power available to process these data along with the technical capabilities of the software tools used to process these data. This talk discusses how Python, a high-level general-purpose language that is gaining popularity for machine learning, can be used by economics researchers to extract, pre-process and process datasets to answer research questions on economic activity. This talk also revisits the data analytics pipeline and discusses how interactive computing can help achieve most aspects of the pipeline using a vast array of technologies and analytical languages. Finally, this talk will explore the capabilities of Python and JavaScript for creating engaging and interactive data visualizations.

Presenter: Rajeev Samarage, Melbourne Institute

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