reply to this in 1-2 sentences: A real world problem that a data scientist could use while using a scatter chart is by collecting data for the price of groceries from over the years. For instance you could see that in the year 1985 the groceries were much more cheaper than they are now this is because people were making less money in the 80' and inflation is the biggest cause if this too.
Using a scatter chart to analyze the price of groceries over time can help data scientists identify trends and correlations, such as the impact of inflation and changing income levels on grocery prices. This data can be valuable for predicting future price trends and informing economic policies aimed at addressing food affordability issues.
reply to this possitively in 1-2 sentences.
Analyzing the price of groceries over time using a scatter chart can provide valuable insights for data scientists to better understand the complex factors influencing food prices. By identifying correlations between income levels, inflation, and grocery prices, data scientists can contribute to developing solutions that address affordability challenges and improve access to nutritious food for all.
