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Seminar on Internet Technologies (Winter 2017/2018): Difference between revisions
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|{{Hl2}} |'''Initial Readings''' | |{{Hl2}} |'''Initial Readings''' | ||
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| '''Strengths and Limitations of Visualization Libraries for Data Science''' (partially practical) | | '''Strengths and Limitations of Visualization Libraries for Data Science''' (assigned to Hannah Rauterberg; partially practical) | ||
One core aspect of Data Science is data visualization. For this task, data scientists can exploit a plethora of different visualization libraries in different programming languages. | One core aspect of Data Science is data visualization. For this task, data scientists can exploit a plethora of different visualization libraries in different programming languages. | ||
The goal of this seminar topic is to work out advantages and disadvantages of each library and to show the key differences in practical examples based on a real-world dataset. | The goal of this seminar topic is to work out advantages and disadvantages of each library and to show the key differences in practical examples based on a real-world dataset. | ||