Merge, Sort and Filter Data in Python Pandas

90 calificaciones
ofrecido por
Coursera Project Network
3332 ya inscrito
En este proyecto guiado, tú:

Use a Filter to remove outliers in the data.

Combine the data using Pandas Merge.

Sort the data by rainfall and temperature.

Clock1 hour
CloudNo se necesita descarga
VideoVideo de pantalla dividida
Comment DotsInglés (English)
LaptopSolo escritorio

Visualizing data patterns often involves re-arrangement and elimination to determine patterns. For example, in a list of data with yearly rainfall amounts, to quickly determine the years with the most rainfall, the data can be sorted according to rainfall in descending order. A filter could be used to limit the amount of data observed, for example, to only show rainfall amounts greater than an inch. A merge can be used to join two datasets together, for example rainfall and temperature data from two different sources. The ability to sort, merge and filter data has always existed using SQL with database data, now it can be done in application memory space using Python. In this course, you will create an application that reads data from two CSV files. You will learn how to merge, sort, and filter the data to ultimately produce a regression plot to determine a possible correlation between two data sets.

Habilidades que desarrollarás

  • Data Science
  • merging
  • Python Programming
  • filtering
  • Pandas

Aprende paso a paso

En un video que se reproduce en una pantalla dividida con tu área de trabajo, tu instructor te guiará en cada paso:

  1. Read the data into a Pandas DataFrame.

  2. Use a Filter to remove outliers in the data.

  3. Combine the data using Pandas Merge.

  4. Sort the data by rainfall and temperature.

  5. Use the Seaborn package to create a regression plot.

Cómo funcionan los proyectos guiados

Tu espacio de trabajo es un escritorio virtual directamente en tu navegador, no requiere descarga.

En un video de pantalla dividida, tu instructor te guía paso a paso



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