After years of data analysis, I've found that chart selection can usually be summarized by four questions. Answer these four questions, and you'll basically find the right chart type.
First question: What are you comparing? If you're comparing numerical values across different categories, use bar charts (for fewer categories) or horizontal bar charts (for more categories). If you're comparing proportions of different categories within a whole, use pie charts or donut charts. If you're comparing relationships between two variables, use scatter plots.
Second question: What trend are you showing? For trends over time, line charts are the most intuitive choice. If you want to see both trends and cumulative totals, use area charts. If the trend has periodicity (like weekly sales fluctuations), consider radar charts or polar charts.
Third question: What distribution are you looking at? If you want to know where data is concentrated and how dispersed it is, use histograms for frequency distribution and box plots for medians and quartiles. If you have multi-dimensional data and want to see how they distribute in a 2D plane, scatter plots work best.
Fourth question: What structure does your data have? If your data has hierarchical relationships (like company organizational structures or product category trees), use treemaps or sunburst charts. If your data has flow relationships (like user channels and conversion steps), use Sankey diagrams. If you want to see comprehensive performance across multiple dimensions, use radar charts.
Specific scenario examples: Marketing departments need to show customer acquisition costs and conversion rates across channels — put channel names on the x-axis, acquisition cost on the y-axis as a bar chart, and map conversion rates to color intensity. Sales departments want to see monthly sales trends over the past 12 months — use a line chart with a 12-month moving average line to smooth seasonal fluctuations. Product departments need to analyze user behavior paths — use a Sankey diagram, from visit to registration to first purchase to repurchase, with churn at each step clearly visible at a glance.
DataVizForge supports all these chart types. After you choose a chart type, you just need to tell it what data goes on the x-axis and y-axis, and it will automatically handle axis ranges, color mapping, and label formatting.