1. Consider the following chart and answer the following questions
- Which kind of chart is?
- How many attributes are represented?
- Is the data-ink ratio good?
- Is it colorblind-safe? Can the color choice be improved and how?
- Is there something deceptive? What?
- Which is, in your opinion, the goal of this kind of visualization?

- Which kind of chart is it?
- A dual-line chart, where two different data series (gold and silver prices) are plotted over time.
- How many attributes are represented?
- The chart represents three attributes:
- Time (X-axis) – representing dates.
- Gold Price (Y-axis, left side) – measured in dollars per ounce.
- Silver Price (Y-axis, right side) – measured in dollars per ounce.
- Is the data-ink ratio good?
- The data-ink ratio is moderate. The chart effectively presents trends without excessive decoration, but the use of two different Y-axes can make interpretation more complex. The colors and text could be optimized for better clarity.
- Is it colorblind-safe? Can the color choice be improved and how?
- The gold (orange) and silver (blue) colors may not be fully colorblind-safe, especially for individuals with deuteranopia or protanopia (red-green color blindness).
- Improvement suggestions:
- Use different line styles (e.g., dashed vs. solid) to differentiate the two lines.
- Add markers (e.g., circles for gold, triangles for silver).
- Use colorblind-friendly palettes, such as dark blue vs. dark red, or high-contrast shades.
- Is there something deceptive? What?
- Yes, a few deceptive elements exist:
- Dual Y-axes: Since gold and silver have different price scales, their trends might appear more correlated than they actually are.
- Lack of clear context: The graph does not indicate whether these are adjusted for inflation or if external factors influenced the trends.
- Potential axis manipulation: If the Y-axis scales are not proportional, the visual interpretation of price movement can be misleading.
- What is the goal of this kind of visualization?
- The goal is to compare price trends of gold and silver over time, allowing viewers to observe:
- Correlations or divergences between the two metals.
- Market trends and volatility.
- Investment insights for traders and analysts.
2. Consider the following chart and answer the following questions

- Which type of chart is used? Which is the task supported by the chart?
- How many attributes are displayed, and which is their type?
- Comment the two deceptive aspects of the visualization.
- Is the colormap used for the lines effective?
- Which type of chart is used? Which is the task supported by the chart?
- The chart is a multi-line chart with a logarithmic scale, comparing the cumulative deaths per million across different countries.
- The task supported is trend comparison between different countries to analyze the spread and severity of deaths per million after reaching a threshold of 50 confirmed deaths.
- How many attributes are displayed, and which is their type?
- Three attributes are displayed:
- Cumulative death number per million (Y-axis, quantitative and logarithmic scale).
- Days since reaching 50 confirmed deaths (X-axis, quantitative and linear scale).
- Country name (Encoded via line color and labels, categorical).
- Comment on two deceptive aspects of the visualization.
- Use of a logarithmic scale:
- While a log scale helps compare growth trends over time, it compresses differences in higher values, making large variations in death counts look less dramatic.
- Viewers unfamiliar with logarithmic scales may misinterpret the severity of trends.
- Lack of clarity on country-specific policies and data inconsistencies:
- The note at the bottom mentions differences in death recording methods between countries, but these are not clearly explained.
- Some countries might have underreporting or different counting standards (e.g., including/excluding care home deaths), making direct comparisons misleading.
- Is the colormap used for the lines effective?
- Partially effective, but it has issues:
- Some colors are too similar (e.g., UK and UK-new measure are close in hue).
- Thin lines make it hard to distinguish overlapping trends.
- Colorblind-unfriendly: Red-green hues (e.g., Germany vs France) may be difficult for colorblind users.
- Improvement Suggestions:
- Use dashed or dotted lines to differentiate similar colors.
- Make lines thicker to improve visibility.
- Use a colorblind-friendly palette with high contrast (e.g., blue vs. orange vs. purple).
3. Consider the following infographic shown in a tv show.

- How many attributes do you see mapped in the map?