I am glad to share that I have attended @SCOTConference in St. Andrews, and presented poster on my experimental setup. Also, I got a chance to meet and discuss work with enthusiast people.
I believe, It was an amazing start of my PhD journey!
#Connections#networking
The process of #DataCleaning is an essential step in data analysis projects. It involves detecting and correcting or removing inaccurate or irrelevant data from a dataset. There are two main approaches to data cleaning: manual cleaning and using tools like SQL and spreadsheets.
Data cleaning is a critical step, and using the right tools can help you to work more efficiently and accurately. So next time you're working on a data cleaning project, consider using SQL, spreadsheets, or other data cleaning tools to help you get the job done.