(21/02/24)Matplotlib Tutorial on Jupterlab by Keith Galli on YouTube(freecodecamp)

Perform exploratory data analysis to visualize the distribution of values in a dataset, analyze relationships using correlation, and locate and fix data problems including missing values.

Exploratory Data Analysis and Visualization of Google Play Store Dataset

Exploring the implementation of plots in matplotlib

Plotly interface for frequently used plots

Analyzing data and creating visuals using Matplotlib

This notebook is about data visualization, pre-processing the data and selecting regression model out of different regression model based on the accuracy given on validation data.

Exploratory Data Analysis

Using exploration data analysis (EDA) techniques to predict wine quality rating from their chemical properties. Created multivariate plots to illustrate relationships between attributes and quality in R.

This project focusing on statistical analysis to understand and prepare data for potential machine learning applications. The dataset house_price.csv includes property prices in Bangalore. The analysis aims to perform exploratory data analysis (EDA), detect and handle outliers, check data distribution and normality, and analyze correlations.

line plot bar plot and box plot

The project main idea is to perform EDA on given data set and scrap some useful information from it

Projekt studencki

Statistics & Probability Basic calculation

A demo application showcasing LightningChart JS Box and Violin charts

Python Pandas & Matplotlib Analysis to Real-World Situation and Dataset

A regression project.