When you create visuals as a data analyst, focus on your data and the type of analysis you are performing. • Are you comparing sales with the previous year or quarter? • Do you want to see sales trends across months? • Do you want to see data density? • And much more. You have different visuals for different kinds of analysis. 𝗙𝗼𝗿 𝗲𝘅𝗮𝗺𝗽𝗹𝗲: • Side by Side bar charts for comparison. • Line charts for trends. • Heat maps for data density. • Scatterplots for a lot of data points. So, as a data analyst, first, figure out the kind of analysis that you are performing and then decide visuals according to that. Have you ever encountered a problem in deciding which visual to use? Mention them in the comments! Enjoy. Follow for more. #DataVisualization #DataAnalytics #DataAnalysis #DataAnalyst #AnalyticsTips #BusinessIntelligence #DataStorytelling #VisualizationTips #AnalyticsCommunity #EffectiveVisuals #USADataAnalytics #UKDataAnalyst #EuropeAnalytics #SingaporeDataAnalyst #GlobalDataCommunity #DataVisualizationWorldwide #AnalyticsInUSA #AnalyticsInUK #AnalyticsInEurope #AnalyticsInSingapore #VisualizeData #DataPresentation #BusinessDashboards #TrendsAnalysis #DataDensity #AnalyticsDesign #ActionableInsights #VisualizationBestPractices #DataDrivenDecisions #AnalyticsCareerTips