Investigating Visual Analysis of Differentially Private Data
Investigating Visual Analysis of Differentially Private Data is a scholarly work, published in 2020 in ''IEEE Transactions on Visualization and Computer Graphics''. The main subjects of the publication include visualization, information visualization, data mining, Internet privacy, noise, computer science, artificial intelligence, radar chart, pie chart, differential privacy, data visualization, chart, scatter plot, popularity, bar chart, population, Real world data, and plot. The authors also found that under DP, pie chart and line chart offer similar or better accuracy than bar chart.