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Data Analysis on Google Apps rating Part-01 | data set analysis | English tutorial | data science

Data Analysis on Google Apps rating Part-02 | data set analysis | English tutorial | data science

Data Analysis on Google Apps rating Part-03 | data set analysis | English tutorial | data science

Data Analysis on Google Apps rating Part-04 | data set analysis | English tutorial | data science

Data Analysis on tips dataset Part-01 | data set analysis | Scatterplot | data science

Data Analysis on tips dataset Part-02 | data set analysis | Scatterplot | Regplot

Data Analysis on tips dataset Part-03 | data set analysis | Lineplot | Barplot

Data Analysis on tips dataset Part-04 | data set analysis | Catplot | Swarmplot | Violinplot

Data Analysis on tips dataset Part-05 | data analysis | Pairplot | Boxenplot | Residplot

Data Analysis on tips dataset Part-07 | data analysis | lmplot | jointplot | data science

Data Analysis on penguins dataset Part-08 | Classes and functions for making complex graph

Data Analysis on diamonds dataset Part-09 | histplot | data science | exploratory data analysis

Data Analysis on flights dataset Part-10 | heatmap | data science | exploratory data analysis

Matplotlib library bar plot part:01 | data analysis | data science | exploratory data analysis

Matplotlib library horizontal bar plot part:02 | data science | exploratory data analysis

Matplotlib library categorical variable plotting part:03 | data science | exploratory data analysis

Matplotlib library Grouped bar chart part:04 | data science | exploratory data analysis

Matplotlib library Stackplot part:05 | data science | exploratory data analysis

Matplotlib library using where_span function part:06 | data science | exploratory data analysis

Matplotlib library different function of histogram part:07 | data science |exploratory data analysis

Matplotlib library different hist types part:08 | data science |exploratory data analysis

Matplotlib library pie chart part:09 | data science |exploratory data analysis

Matplotlib library Multiple pie chart and features part:10 | data science |exploratory data analysis

Matplotlib library Box plot with different colours part:11 | data science |exploratory data analysis

Description:

Explore data analysis techniques using Seaborn and Matplotlib in this comprehensive 6-hour English tutorial series. Learn to analyze various datasets including Google Apps ratings, tips, penguins, diamonds, and flights. Master creating diverse plots such as scatterplots, regplots, lineplots, barplots, catplots, swarmplots, violinplots, boxplots, stripplots, jointplots, pointplots, pairplots, boxenplots, residplots, lmplots, histplots, and heatmaps. Dive into Matplotlib library specifics, covering bar plots, horizontal bar plots, categorical variable plotting, grouped bar charts, stackplots, histograms, pie charts, and box plots with different colors. Gain practical experience in exploratory data analysis and develop essential skills for data science through hands-on exercises and real-world datasets.

Data Analysis on Datasets, Seaborn and Matplotlib Plots

FUN WITH DATA SCIENCE

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#Data Science #Data Analysis #Data Visualization #Seaborn #Programming #Programming Languages #Python #Matplotlib

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