Discover and read the best of Twitter Threads about #datacleaning
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Master data cleaning in pandas like a pro with these simple functions.
Data cleaning is a critical step in any data analysis project
Learn to clean messy datasets with these easy steps.
A thread🧵👇
Data cleaning is a critical step in any data analysis project
Learn to clean messy datasets with these easy steps.
A thread🧵👇
In pandas, you can use functions like .dropna(), .fillna(), and .replace() to clean up your data.
For example, let's say you have a data frame with missing values like this:
For example, let's say you have a data frame with missing values like this:
1. The .dropna() function removes any rows with missing values.
For example, you can use df.dropna() to drop any rows with missing values from your data frame called "df":
For example, you can use df.dropna() to drop any rows with missing values from your data frame called "df":
" Exploratory Data Analysis on Terrorism "
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We are performed Exploratory Data Analysis on terrorism #dataset to find out the hot zone of #terrorism. #EDA nothing but #analyzing the given data & finding the #trends, patterns & making some assumptions. #DataVisualization #DataScience #MachineLearning
In this #dataset, there are many features including countries, states, regions, gang names, weapon types, target types, years, months, days, and many more features.
Roadmap to becoming Data Analyst in three months absolutely free. No need to pay a penny for this.
I have mentioned a roadmap with free resources.
A thread🧵👇
I have mentioned a roadmap with free resources.
A thread🧵👇
1. First Month Foundations of Data Analysis
A. Corey Schafer - Python Tutorials for Beginners:
B. StatQuest with Josh Starmer - Statistics Fundamentals:
C. Ken Jee - Data Analysis with Python
A. Corey Schafer - Python Tutorials for Beginners:
B. StatQuest with Josh Starmer - Statistics Fundamentals:
C. Ken Jee - Data Analysis with Python
2. Second Month - Advanced Data Analysis Techniques
A. Sentdex - Machine Learning with Python
B. StatQuest with Josh Starmer - Machine Learning Fundamentals
C. Brandon Foltz - Business Analytics
A. Sentdex - Machine Learning with Python
B. StatQuest with Josh Starmer - Machine Learning Fundamentals
C. Brandon Foltz - Business Analytics
Python project ideas for beginners with source code
A thread 🧵👇
A thread 🧵👇
Python for data science beginners roadmap
A thread 🧵👇
A thread 🧵👇
1. Python Basics
Codecademy's Python Course (codecademy.com/learn/learn-py…)
Python for Everybody Course (py4e.com)
Codecademy's Python Course (codecademy.com/learn/learn-py…)
Python for Everybody Course (py4e.com)
2. Data Analysis Libraries
NumPy User Guide (numpy.org/doc/stable/use…)
Pandas User Guide (pandas.pydata.org/docs/user_guid…)
Matplotlib Tutorials (matplotlib.org/stable/tutoria…)
NumPy User Guide (numpy.org/doc/stable/use…)
Pandas User Guide (pandas.pydata.org/docs/user_guid…)
Matplotlib Tutorials (matplotlib.org/stable/tutoria…)
I think the message in Data Science needs to be: Don't believe everything you read. 🧵
#stats #datascience
#stats #datascience
I'd like to thank Nico Cota for pointing me to this modified graphic from a recent Harvard Business Review article on "Prioritizing Which Data Skills Your Company Needs".
You hear Harvard Business Review, & you think this must be legit.
Well, in this case, they dropped the ball.
If you're coming up with an educational plan for your org in 2023, here are some tips:
Well, in this case, they dropped the ball.
If you're coming up with an educational plan for your org in 2023, here are some tips:
I'd like to thank Rafael Nicolas Fermin Cota for pointing me to this modified graphic from a recent Harvard Business Review article on "Prioritizing Which Data Skills Your Company Needs".
You hear Harvard Business Review, & you think this must be legit.
Well, in this case, they dropped the ball.
If you're coming up with an educational plan for your org in 2022, here are some tips...
Well, in this case, they dropped the ball.
If you're coming up with an educational plan for your org in 2022, here are some tips...
