Analyze Data using Pivot Tables, Crosstabs in Google Sheets

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この無料ガイド付きプロジェクトでは、次のことを行います。

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.

この実践的な経験を面接でアピールする

Clock2 hours
Intermediate中級
Cloudダウンロード不要
Video分割画面ビデオ
Comment Dots英語
Laptopデスクトップのみ

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.

必要事項

Some familiarity with spreadsheet software is helpful.

あなたが開発するスキル

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

ステップバイステップで学習します

ワークエリアを使用した分割画面で再生するビデオでは、講師がこれらの手順を説明します。

  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.

ガイド付きプロジェクトの仕組み

ワークスペースは、ブラウザに完全にロードされたクラウドデスクトップですので、ダウンロードは不要です

分割画面のビデオで、講師が手順ごとにガイドします

よくある質問

よくある質問

さらに質問がある場合は、受講者向けヘルプセンターにアクセスしてください。