30/10/2023
đ Choosing the Right Chart for Data Analysis đ
When diving deep into data visualization, the power lies not just in presenting beautiful graphics, but in conveying the right message with clarity. For freshers and even seasoned professionals, choosing the apt chart can sometimes be overwhelming. Hereâs a handy guide from me to making your charts not just look good, but also tell the right story:
đ Comparison:
Bar, Column, Grouped bar/column, Lollipop, Bullet, Dot plot, and many more.
đ Geospatial Visualization:
Geographic heatmap, Choropleth map, Sankey, Network diagram, etc.
đ Correlation:
Heatmap, Bubble chart, Scatter plot, Hexagonal binning, etc.
đ° Part-to-whole & Hierarchical:
Stacked bar/column, Pie chart, Donut, Treemap, Funnel, etc.
âŗ Temporal (Data over Time):
Area, Line, Spline, Candlestick, Gantt, Barcode, etc.
đ Distribution:
Density, Histogram, Box chart, Violin plot, and others.
Remember, the key isnât just to pick a chart that looks good, but one that complements your data's narrative. The right visualization can make your insights stand out, while the wrong one can overshadow them. Choose wisely!
Feel free to share, bookmark, or comment with your experiences.
Follow SQL Academy Bangladesh to know more about drive data-driven storytelling! đ