Data Visualization is the graphical representation of data to understand patterns, trends, and relationships easily. It helps managers and students interpret large data sets quickly. Charts, tables, and dashboards convert raw numbers into visual form, making decision making faster and clearer in business analytics.
- Scatter Plots
Scatter plots show the relationship between two numerical variables. Each point represents one data value. They help identify correlation, trends, and outliers. For example relationship between advertising cost and sales. Businesses use scatter plots to understand cause and effect.
- Line Charts
Line charts show data changes over time. They are useful for trend analysis such as monthly sales or yearly profit. Indian companies use line charts for forecasting and performance tracking.
- Histogram
Histogram shows frequency distribution of data. It helps understand data spread and concentration. For example number of customers in different income groups.
- Pivot Tables
Pivot tables summarize large data sets quickly. They help in grouping, counting, summing, and comparing data. Widely used in Excel for sales and financial analysis.
- Pivot Charts
Pivot charts are graphical representation of pivot table data. They update automatically with pivot table changes and help in visual analysis.
- Interactive Dashboards
Dashboards combine charts, tables, and key indicators in one screen. Interactive dashboards allow users to filter and explore data easily. They support quick and effective business decisions.