Data Visualization using Python Programming
ICSE · Class 11 · Artificial Intelligence
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What is data visualization?
Answer
Data visualization refers to the process of representing data in a graphical or pictorial format. It helps reveal trends, outliers, and relationships hidden in raw data, making complex data easier to …
Why is data visualization useful?
Answer
Its main goal is to distill large datasets into visual graphics so that complex relationships can be understood easily. It also helps in drawing meaningful conclusions and making informed decisions fr…
What is Datawrapper used for?
Answer
Datawrapper is a data visualization tool ideal for creating charts and maps for embedding in online content like news articles or blog posts. It does not require coding, and data is uploaded through a…
What makes Tableau different from basic chart tools?
Answer
Tableau is a powerful and versatile visualization tool with a drag-and-drop interface and interactive visualizations. It is suitable for advanced users and businesses, and Tableau Public is a free too…
What is Power BI?
Answer
Power BI is a business intelligence and data visualization suite developed by Microsoft. It integrates with Microsoft products and is used for interactive dashboards and reports.
What is special about FusionCharts?
Answer
FusionCharts is a free data visualization tool with over 90 charts and more than 960 maps. It is useful for developers and professional data visualization experts who need many chart and map options.
What is Google Data Studio?
Answer
Google Data Studio, formerly known as Looker Studio, is a free web-based data visualization tool by Google. It creates interactive dashboards and reports from multiple data sources.
Which Python libraries are commonly used for data visualization and data analysis?
Answer
NumPy supports large multi-dimensional arrays and mathematical functions. Pandas is used for data manipulation and analysis. Matplotlib creates visualizations. Seaborn is built on top of Matplotlib fo…
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