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Sanskar

Keen Learner and Exp... • 4m

Day 12 of learning data science as a beginner. Topic: data selection and filtering As pandas is created for the purpose of data analysis it offers some significant functions for selecting and filtering some of which are. .loc: this finds the row by label name which can be whatever (example: abc, roman numbers, normal numbers(natural + whole) etc.). .iloc: this finds the row by index i.e. it doesn't care about the label name it will search only by index positions i.e. 0, 1, 2... These .loc and .iloc functions can be used for various purposes like selecting a particular cell or for slicing also there are several other useful functions like .at and .iat which are used specifically for locating and selecting an element. we can also use various conditions for analyzing our data for example. df[df["IMDb"]>7]["Film"] which means give the name of films whose IMDb ratings is greater than 7. we can also use similar or more advanced conditioning based on our need and data to be analyzed.

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Day 13 of learning data science as a beginner. Topic: data cleaning and preprocessing In most of the real world applications we rarely get almost perfect data most of the time we get a raw data dump which needs to be cleaned and preprocessed before

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Hello everyone day 15/100 Daily Learning Update Cleaned messy and dirty data today. Fixed incorrect values, corrected spelling errors, and replaced wrong entries. Used datetime functions to extract date and time for analysis. #DataAnalytics #DataClea

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