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Earth Data Science

Tag: Data cleaning

Raw Materials & Raw Data, I

Import data to Pandas DataFrame Merge DataFrames pd.merge() Data cleaning & shaping – missing values, duplicates, dictionary, for loop etc. Copper is the third most consumed industrial metal in the world, with 75% of copper used in electrical wires, telecommunication cables and electronics. Amazingly there is about 30 miles of copper wire in a electronic… Read More Raw Materials & Raw Data, I

August 2, 2020August 12, 2020 Imparo Analytics1 Comment

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Tags

Choropleths Data cleaning Data filtering Data merge Data subsetting Data visualization Dictionary Exploratory Data Analysis groupby land use Matplotlib Metals Pandas Python Seaborn Tidy data

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