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Sanskar
Keen Learner and Exp... • 20d
Day 10 of learning data science as a beginner Topic: data analysis using pandas Pandas is one of the python's most famous open source library and it is used for a variety of tasks like data manipulation, data cleaning and for analysis of data. Pandas mainly provides two data structures namely Series: which is a one dimensional labeled array Data Frame: a two dimensional labeled table (just like an excel or SQL table We use pandas for a number of reasons like using pandas makes it easy to open .csv files which would have otherwise taken a few python lines to open a file (by using open() function or using with open) not only this it also help us to effectively filter rows and merge two data sets etc. You can even use urls to open a csv file Although pandas in python has many such advantages it also has a slightly steep learning curve however pandas can be safely considered as one of the most important part in a data science work Also here's my code and it's result
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Sanskar
Keen Learner and Exp... • 15d
Day 14 of learning data science as a beginner. Topic: Melt, Pivot, Aggregation and Grouping Melt method in pandas is used to convert a wide format data into a long form data in simple words it represent different variables and combines them into ke
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