Python wrapper for the Highcharts Core JavaScript library
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Updated
Jun 11, 2024 - Python
Python wrapper for the Highcharts Core JavaScript library
PyComplexHeatmap: A Python package to plot complex heatmap (clustermap)
All my learnings from "Data Visualization with Python" course offered by "IBM" on coursera are reflected here.
Python wrapper for the Highcharts Maps data visualization library.
Python wrapper for the Highcharts Stock data visualization library.
"Hands on EDA" GitHub repo: Your ultimate guide to Exploratory Data Analysis (EDA) best practices, inspired by "Hands-On EDA with Python" book. Dive into curated code snippets and Jupyter notebooks for mastering EDA with Python. Perfect for all skill levels!
In this project I am Cleaning, Analysing and creating Visualizations to make data easily accessible of ease use.
Understanding User Engagement Patterns and Perform Churn Analysis
Sauti East Africa request for a segmentation analysis on all of their user's behavior. Sauti wishes to better optimize their menu design and explore the feasibility of smart menus based on user predicted behavior.
An analysis of my watch history for 2023
A curated dump of various experiments, insights, and projects in Data Science
Data visualization charts made mostly with Python, matplotlib, pandas, and numpy, and some scipy, plotly, seaborn, holoviews bokeh, streamlit, and R. Dataviz on Twitter. #30DayChartChallenge
Carlos Lizarraga-Celaya Personal Website
Python programming and data analysis
This repository contains projects related to data collecting, assessing, cleaning, visualizations, and analyzing.
A little sample of my recent work as a data analyst.
This repository serve as a reference guide for creating various types of data visualizations using Python. It will feature over 25 visualizations.
Analyzing the Netflix dataset to draw various insights using python
Application of Python and its useful packages/libraries/modules/functions for performing efficient data analytics and data visualization.
Analyzing the Uber dataset to draw insights using pyhton
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