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Mission 11: Analytics

Learning Objective

Learn how to gain quick insights and understanding of your data using the built-in analytics features.


Dataset

Download the required dataset: new_table_cars.xlsx


Step-by-Step Instructions

1. Open Your Dataset

First, open the data you want to analyze.

2. Access the Analytics Dashboard

Click on the analytics button to open the analytics features.

Analytics Button

The analytics button

3. View Table Overview

After clicking analytics, you'll see the table overview with summary statistics.

Table Overview

Table overview page

Correlation Analysis

4. Access Correlation Chart

Click "Correlation" in the top menu to view relationships between variables.

Correlation Chart

Correlation chart showing relationships between columns

Column-Level Analytics

5. Access Column Overview

Click on the "Column Overview" tab to analyze individual columns.

6. Select and Analyze Columns

Select a column to see various charts and detailed information about that specific column.


Available Visualizations

Distribution Analysis

Distribution Curve

Access detailed analytics such as distribution curves for each column

Outlier Detection

Outlier Visualizer

The outlier visualizer allows you to investigate outliers by clicking on them. Remove outliers using the "Remove Outliers" button

Box Plots

Box Plot

Numerical columns display box plots showing outliers and distribution at a glance

Statistical Summaries

Statistics

Different statistics are available depending on column type - categorical variables are shown in histograms

Analytics Features Summary

Feature Purpose Available For
Table Overview General statistics and summary All datasets
Correlation Chart Identify relationships between variables Numerical columns
Distribution Analysis Understand data spread and patterns All column types
Outlier Detection Find and manage extreme values Numerical columns
Box Plots Visualize distribution and outliers Numerical columns
Histograms Show frequency distributions Categorical and numerical columns

Summary

You've successfully learned how to:

✓ Access the analytics dashboard

✓ View table overview and summary statistics

✓ Analyze correlations between variables

✓ Explore individual column analytics

✓ Use distribution curves and box plots

✓ Detect and manage outliers

✓ Interpret different visualizations based on data types


Congratulations!

You've completed all missions in Module 0: Data Management Fundamentals. You now have a solid foundation in working with data in LOGIBLOX.

Well done! Now let's move on to the next module!