PhD/Health Sciences | Evidence Synthesis/Systematic review & Meta-analysis | Professor/Lecturer | Data analyst
In my learning path of data analysis, I use #R more frequently, but it is very nice when data visualization can be done in #Python using grammar of graphics (ggplot2) through #Plotnine.
003: Exploring Matplotlib: The Foundation of Data Visualization in Python 📊 I recently shared a guide on mastering Matplotlib (inspired by Matlab), focusing on its flexibility for data visualization in Python. If you're looking to gain precise control over your plots, this guide covers how to leverage Matplotlib for highly customized visualizations. It also compares the benefits of Seaborn for creating quick, aesthetically pleasing statistical graphics. 🔍 Whether you're creating complex plots or tweaking visual details, Matplotlib is the go-to tool! #Python #DataVisualization #Matplotlib #Seaborn #DataScience
Excited to share my another machine learning model called Sports person classifications. So used it Python and also tool jupyter notebook. Refer this link: https://lnkd.in/gpEUFacP #Datascience | #Dataanalysis | #DataVisualization
Web Dev & Blockchain Enthusiast | IIT Madras | BS in Data Science (2027) | HackerRank🥇Python 5⭐ | Institute Rank 45 | Global Rank 60k / 3.14 million | HackerRank🥈SQL 4⭐ | HackerRank🥈Problem Solving 3⭐
👨💻 Python for Data Science Day 10 : Slicing 3-D Array , Advanced Indexing by Durga Software Solutions #done ☑ Slicing 3-D Numpy Array ☑ Advanced Indexing : 1-D , 2-D , 3-D Numpy Arrays . . GitHub : https://lnkd.in/gJRcNdDK . . . . #python #datascience #100daysofcode #learninpublic #numpy #arrays #indexing #dataanalysis #100daysofdatascience
Passionate about driving transformative pricing and procurement initiatives through comprehensive business data analytics to elevate business KPIs
Having fun exploring the Seaborn library within Python in Excel, using the sample Tips dataset 📊 #PythonInExcel #DataVisualization #Seaborn #DataScience #Excel #BusinessAnalysis
Excited to share that I've successfully completed a machine learning assignment focusing on data manipulation with DataFrames, outlier handling, Independent Component Analysis (ICA), and hierarchical clustering visualization (dendrogram) using Python. In addition, I had a great time developing a Tic-Tac-Toe game! 🚀 #MachineLearning #DataScience #PythonProgramming #GameDevelopment
I'm excited to share one more project from my data analysis learning journey, where I accessed a dataset from https://lnkd.in/eaH8yMew and created a detailed report which includes a problem statement, visualizations, and a solution. 😀 #datascience #python #DataAnalysis
Bridging the gap between R and Python to enable data scientists and analysts to harness their strengths | Data Science | Statistics | DataViz | Servant Leadership
I have just submitted my reproduction of Cara Thompson's work, #BarBeRight, to the plotnine contest. Here is the link to the tutorial: https://lnkd.in/gBtktGsR Credit goes to Cara Thompson for her insightful tutorials and superb work on Data Visualization. #plotnine #datascience #rstats #python
“Exploring the power of Shiny for Python with a quick visualization of Reliance Industries historical stock data. Seamlessly integrating Plotly for interactive data exploration and insights. Thank you Dr James Daniel Paul P for the guidance #Python #DataScience #ShinyForPython #Plotly #DataVisualization”
📌📄Python offers many powerful libraries for data visualization, including Matplotlib, Seaborn, Plotly, and many more. 🔗Download free pdf: https://lnkd.in/gFfZZJ8f #DataScience #pythonprogramming #datavisualization