🔥 #plotly & #plotlyexpress tutorial using ANZ Dataset 🔥 #notebook link - https://lnkd.in/e6fgsrS #dataset link - https://lnkd.in/eqgWKMX Follow me on 📍Twitter - https://lnkd.in/fkrxjEkL 📍 Instagram - https://lnkd.in/fNjvwjm #dataanalysis #dataviz #datavisualization #datascience #python #plotly
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Excited to Share My Latest Data Cleaning Portfolio Project In this project, my focus was on: 1. Importing the dataset into Python for cleaning and transformation. 2. Modifying the schema of the existing dataset using pandas. 3. Handling missing/null values. 4. Changing the data types of columns. 5. Creating derived columns. I plan to share a few EDA projects in the future. Suggestions and feedback are welcome! #DataScience #DataCleaning #Pandas #Python #DataAnalysis #MachineLearning #DataTransformation #DataEngineering
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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
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Quality of life improvement for #Vega and Panel users. With Panel 1.4.5 we allow you to provide a Pandas DataFrame in your specification. #python #dataviz #datascience #Analytics
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✅ I just completed the PANDAS Series Exercise from W3Schools! 💪 Great practice for working with data series—from manipulating and cleaning data to building a solid foundation for advanced analysis. Check it out here: 🔗 https://lnkd.in/g_eeNKDA #W3Schools #Pandas #Python #DataSeries #DataCleaning #DataManipulation #LearningByDoing #DataAnalysis #ExercisesComplete
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Day 14: Matplotlib.pyplot : Embarking on my matplotlib journey today! Explored the basics, delved into pyplot for plotting, and began crafting visualizations. Excited to enhance my data storytelling skills! #DataVisualization #Matplotlib #LearningJourney #python #learning
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HoloViews 1.19.0 adds support for Bars plot with continuous axis. I.e. you can now display timeseries data in Bars plot with axes nicely linked across plots. This change also enables users of dependent libraries like hvPlot and Polars to use this new exciting feature. #python #dataviz #datascience #analytics
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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
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This video all about matplotlib library, how to matplotlib library work, how to create line grapg, multiple line graph, how to change line style, marker, marker size, marker size color, how to read excel file in python and data visulizations... #Matplotlib #Python #DataAnalysis #BasicGraph
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Hello my LinkedIn family Day 63 of #100daysofcodechallenge Grouping and Aggregation In this challenge, we'll cover the Grouby and Pivot table methods using the Pandas library. You'll learn how to group data and how to make a pivot table with the help of the Pandas library. #100daysofpythoncodechallenge #codingjourney #python #pandas #DataScience
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Hey Python users, this one's for you! Have you ever pivoted your data only to want to turn it back into long-format data? Learn how you can use the Pandas Library to make it a breeze: #data #analytics #python #pivottables
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