B. Describe the data analysis by doing the following: Using one of the following techniques, write code (in either Python or R) to run the analysis of the data set: • chi-square • t-test • ANOVA.

Bar graph that visualizes the demand for different data science skills for the top 3 data science jobs in the Philippines Insights Unlike other countries, it is seen in the visualization that when it ...

In practice, exploratory data analysis combines graphics and descriptive statistics. In a highly cited book chapter, Tukey uses R to explore the 1990s Vietnamese economy with histograms, kernel ...

In today’s data-driven world, the ability to effectively analyze data is a key factor in the success of many enterprises. By leveraging data analysis tools and techniques, businesses can gain insights ...

Output – Comparing the above outputs, Seaborn is easy to visualize while using the Plotly tool it is hard to get insights from multiple graphs. Conclusion Through the above demonstration, we can ...

Also, though Python is mostly used in data mining, today, SAS too data mining tools (SAS Enterprise Miner), however, user may need extra licenses. Another key difference is, unlike R and Python, ...