Become a Pandas Pro: Learn Data Analysis with Python 🤓
10.3 هزار بار بازدید -
2 سال پیش
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𝗗𝗘𝗦𝗖𝗥𝗜𝗣𝗧𝗜𝗢𝗡
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Ready to learn pandas, the most powerful data analysis library in Python? In this tutorial, we will analyse a real-world dataset - my YouTube data. We start by reading and inspecting the data before doing exploratory data analysis (EDA). Once we understand the data well, I will show you advanced techniques to clean up the dataframe. To do so, we will take advantage of chaining pandas methods to keep the code clean and organised. With our clean dataframe, we will then perform a time-series analysis and plot our findings in interactive charts.
🌍 𝗟𝗜𝗡𝗞𝗦:
▶ Source Code: https://github.com/Sven-Bo/pandas-tut...
⭐ 𝗧𝗜𝗠𝗘𝗦𝗧𝗔𝗠𝗣𝗦:
00:00 – Intro
00:48 – Install the dependencies
01:34 – Get and inspect the data
02:43 – Check for missing values
03:54 – Check data distribution
06:14 – Check for correlation
08:49 – Clean the data
14:54 – Time Series Analysis
16:45 – Visually analyse the data
18:23 – Create a word cloud
18:44 – Outro
𝗧𝗢𝗢𝗟𝗦 𝗔𝗡𝗗 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦
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📊 Dashboard Excel Add-In (𝗚𝗿𝗮𝗳𝗹𝘆): https://pythonandvba.com/grafly
🎨 Cartoon Charts Excel Add-In (𝗖𝘂𝘁𝗲𝗣𝗹𝗼𝘁𝘀): https://pythonandvba.com/cuteplots
🤪 Fun Emoji Excel Add-In (𝗘𝗺𝗼𝗷𝗶𝗳𝘆): https://pythonandvba.com/emojify
📑 Excel Templates: https://pythonandvba.com/go/excel-tem...
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𝗖𝗢𝗡𝗡𝗘𝗖𝗧 𝗪𝗜𝗧𝗛 𝗠𝗘
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🔗 LinkedIn: LinkedIn: sven-bosau
📸 Instagram: Instagram: codingisfun_official
💻 GitHub: https://github.com/Sven-Bo
💬 Discord: https://pythonandvba.com/discord
📬 Contact: https://pythonandvba.com/contact
☕ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲?
If you want to support this channel, you can buy me a coffee here:
▶ https://pythonandvba.com/coffee-donation
𝗗𝗘𝗦𝗖𝗥𝗜𝗣𝗧𝗜𝗢𝗡
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
Ready to learn pandas, the most powerful data analysis library in Python? In this tutorial, we will analyse a real-world dataset - my YouTube data. We start by reading and inspecting the data before doing exploratory data analysis (EDA). Once we understand the data well, I will show you advanced techniques to clean up the dataframe. To do so, we will take advantage of chaining pandas methods to keep the code clean and organised. With our clean dataframe, we will then perform a time-series analysis and plot our findings in interactive charts.
🌍 𝗟𝗜𝗡𝗞𝗦:
▶ Source Code: https://github.com/Sven-Bo/pandas-tut...
⭐ 𝗧𝗜𝗠𝗘𝗦𝗧𝗔𝗠𝗣𝗦:
00:00 – Intro
00:48 – Install the dependencies
01:34 – Get and inspect the data
02:43 – Check for missing values
03:54 – Check data distribution
06:14 – Check for correlation
08:49 – Clean the data
14:54 – Time Series Analysis
16:45 – Visually analyse the data
18:23 – Create a word cloud
18:44 – Outro
𝗧𝗢𝗢𝗟𝗦 𝗔𝗡𝗗 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🆓【𝗙𝗥𝗘𝗘】Excel Add-in (𝗠𝘆𝗧𝗼𝗼𝗹𝗕𝗲𝗹𝘁): https://pythonandvba.com/mytoolbelt
📊 Dashboard Excel Add-In (𝗚𝗿𝗮𝗳𝗹𝘆): https://pythonandvba.com/grafly
🎨 Cartoon Charts Excel Add-In (𝗖𝘂𝘁𝗲𝗣𝗹𝗼𝘁𝘀): https://pythonandvba.com/cuteplots
🤪 Fun Emoji Excel Add-In (𝗘𝗺𝗼𝗷𝗶𝗳𝘆): https://pythonandvba.com/emojify
📑 Excel Templates: https://pythonandvba.com/go/excel-tem...
🎓 My Courses: https://pythonandvba.com/go/courses
📚 Books, Tools, and More: https://pythonandvba.com/resources
𝗖𝗢𝗡𝗡𝗘𝗖𝗧 𝗪𝗜𝗧𝗛 𝗠𝗘
▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
🔗 LinkedIn: LinkedIn: sven-bosau
📸 Instagram: Instagram: codingisfun_official
💻 GitHub: https://github.com/Sven-Bo
💬 Discord: https://pythonandvba.com/discord
📬 Contact: https://pythonandvba.com/contact
☕ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲?
If you want to support this channel, you can buy me a coffee here:
▶ https://pythonandvba.com/coffee-donation
2 سال پیش
در تاریخ 1401/09/05 منتشر شده
است.
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