This course on exploratory data analysis using the Plotly library aims to teach learners how to create various types of plots such as bar plots, scatter plots, pie charts, line plots, box plots, histograms, and scatter matrices. The course covers different functions and techniques within the Plotly library to analyze the tips dataset. The teaching method involves practical demonstrations and examples to help learners understand how to effectively visualize and analyze data using Plotly. This course is intended for individuals interested in data science, exploratory data analysis, and data visualization.
Overview
Syllabus
Plotly library Bar plot part:01 | data science |exploratory data analysis | tips data analysis.
Plotly library Bar plot part:02 query function | data science |exploratory data analysis | tips data.
Plotly library part:03 scatter vs bubble plot | data science |exploratory data analysis | tips data.
Plotly library part:04 pie chart | data science |exploratory data analysis | tips data.
Plotly library part:05 line plot | data science |exploratory data analysis | tips data.
Plotly library part:06 horizontal Bar plot | data science |exploratory data analysis | tips data.
Plotly library part:07 Box plot | data science |exploratory data analysis | tips data.
Plotly library part:08 Histogram | data science |exploratory data analysis | tips data.
Plotly library part:09 scatter_matrix | data science |exploratory data analysis | tips data.
Taught by
FUN WITH DATA SCIENCE
