Analyze Data using Pivot Tables, Crosstabs in Google Sheets

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在此免费的指导 项目中,您将:

Understand the benefits of using pivot tables to create crosstab reports and identify use cases for crosstabs.

Identify use cases for Pearson’s correlation test and select the variables/categories for your report.

Conduct correlation tests, interpret findings, and understand how to incorporate statistics into the crosstabs visual.

在面试中展现此实践经验

Clock2 hours
Intermediate中级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

In this project, you will explore the pivot-table tactics applied in Google Sheets to create crosstabs and conduct a preliminary—exploratory—analysis of the data within the report. You will also conduct Pearson’s correlation testing and determine how best to visually present those results so that you can aid the audience’s discovery of insights from the data story. To do this you will work in the free-to-use spreadsheet software Google Sheets. We rarely have an unlimited amount of time to find the actions in our data, so it is key to leverage tools that expedite that process. Crosstab reports can accelerate the analysis process because they present select slices of data in a matrix format making it easier to visualize patterns and explore similarities and differences between categories or variables. By the end of this project, you will be able to perform correlation testing, interpret the test statistics, and apply pivot table tactics to create crosstab reports that will communicate the data story using any spreadsheet software. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

必备条件

Some familiarity with spreadsheet software is helpful.

您要培养的技能

Data Visualization And ReportingCorrelation And DependencePivot Tables and Crosstabulation ReportsBusiness IntelligenceInsight Mining

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Review pivot tables and their conversion to crosstabulation reports.

  2. Explore Pearson’s correlation test and how it identifies dependencies.

  3. Consider use cases for correlation tests and begin Exploratory Data Analysis (EDA.)

  4. Create a pivot table and visually organize the data into a crosstabs report.

  5. Conduct correlation tests, interpret the findings, and format the crosstabs report.

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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