Identify the chart's main title and any subtitles.
Define the primary question this graph is trying to answer.
Summarize the graph's main takeaway in a single sentence.
Identify the source of the data and its collection/publication date.
Determine the intended audience for this visualization (e.g., expert, general public).
Read the caption or any accompanying text for context.
Identify the type of graph being used (e.g., bar, line, scatter).
State the "5 Ws" of the graph: Who, What, Where, When, Why.
Identify the key variables being presented.
Describe the overall purpose of the visualization (e.g., comparison, distribution, relationship, composition).
Identify the variable and units on the X-axis.
Identify the variable and units on the Y-axis.
Analyze the scale of the Y-axis: Is it linear, logarithmic, or categorical?
Analyze the scale of the X-axis: Is it linear, logarithmic, or categorical?
Check if the Y-axis starts at zero. If not, assess its potential to mislead.
Check if the X-axis is time-based, categorical, or numerical.
Read and interpret the legend. List all data series being plotted.
Analyze the use of color: Is it sequential, diverging, or categorical?
Check if the color palette is accessible (e.g., colorblind-friendly).
Identify any secondary Y-axis and the variable it represents.
Critique the use of a dual-axis chart: Is it clear or confusing?
Identify the units of measurement (e.g., $, %, per 1,000).
Analyze the gridlines: Do they help or clutter the visualization?
Check for any annotations or callouts on specific data points.
Identify the range (min/max) of values shown on each axis.
Describe the primary trend (e.g., increasing, decreasing, cyclical, volatile, stable).
Identify the highest (peak) and lowest (trough) data points on the chart.
Identify any significant outliers or anomalies that deviate from the main pattern.
Describe the distribution of the data (e.g., normal, skewed left/right, bimodal).
Locate the data point for [specific category/time] and state its value.
Identify any periods of rapid growth or sharp decline.
Find the mean, median, and mode (if apparent or calculable).
Identify any gaps, plateaus, or missing data in the series.
Describe the volatility or consistency of the data over time.
Identify any seasonality or cyclical patterns in the data.
Pinpoint the location of the [75th/25th] percentile (if possible).
Describe the density of data points in different regions of the chart.
Analyze the "shape" of the data.
Identify any points of inflection where the trend changes direction.
State the value at the beginning and end of the time series.
Calculate the absolute change between the first and last data point.
Calculate the percentage change from the beginning to the end.
Formulate a hypothesis to explain the most significant outlier.
Identify any "step changes" (sudden, permanent jumps) in the data.
Find the point where the data first crosses a [specific threshold].
Compare the value of [Series A] to [Series B] at a [specific point in time].
Describe the relationship between the two variables on the X and Y axes (e.g., positive correlation, negative correlation, no correlation).
Identify any intersection points where two data series cross.
Analyze the spread or gap between [Series A] and [Series B] over time.
Calculate the percentage difference between [Category A] and [Category B].
Identify which category accounts for the largest/smallest share of the total.
Group the data points into [N] visual clusters.
Describe the "part-to-whole" relationship (composition) shown in the graph.
Find the strongest and weakest correlations shown on the chart.
Compare the current value to a historical average or benchmark.
Critique the choice of graph type: Is it the most effective way to show this data?
Identify any misleading elements (e.g., 3D effects, truncated axes, inappropriate scales).
Assess the "data-ink ratio": Is the chart cluttered with non-essential design elements ("chart junk")?
Assess the overall clarity and readability (e.g., font size, label quality).
Propose an alternative graph type that might reveal a different insight.
Suggest an improvement to the title or subtitle to make it more descriptive.
Suggest an improvement to the labels, legend, or color scheme.
Formulate three actionable insights or business decisions based on the graph.
Generate two new questions that are raised by this analysis.
Describe any potential sources of bias in how the data is presented.
9Next. Predict the next data point or future trend based on the pattern.
Write a brief narrative (a "story") that explains the graph from start to finish.
Determine if the graph supports or contradicts a [given hypothesis].
Explain the "so what?" of the graph.
Redesign the graph to emphasize a [different, specific] insight.
Combine the findings from this graph with [another piece of information] to form a new conclusion.
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