Welcome to the AI and Statistics series!
Let’s dive into how AI can transform tabular data into various types of charts.
Today, we will be using a 2D data table featuring Year, Aquaculture, and Capture fisheries to generate an Area Chart.
Area charts are used to visualize quantitative data over time, highlighting the magnitude of changes.
Our analysis will show how AI can help visualize trends in aquaculture and capture fisheries without stacking, which is crucial as these are independent variables.
Our goal is to illuminate trends over time in seafood production using clear and distinct visuals.
Don’t worry about using the AI Agent-driven Bayeslab, all you need is natural language to get the data analysis result.
All content will be explained in the most comprehensible natural language descriptions to help you get started with data analysis from scratch.
We’ll start with a data table featuring three fields: Year, Aquaculture, and Capture fisheries.
This table helps us understand seafood production trends over time through the Area Chart.
In just 2 minutes, you’ll learn to effectively visualize independent data series in an area chart format. Let’s start it right now!
Using different prompt inputs, we’ll demonstrate how AI generates an area chart, with steps including:
▪︎ Step1. Interpret the data table
▪︎ Step2. Error Demonstration ❌
▪︎ Step3 . Beginner Level
▪︎ Step4. Advanced Level
Step 1 — Interpret the Data Table
Understand the structure and values of each field in the dataset.
The Prompt is :
Read Area chart.csv and generate a descriptive statistics table based on this file.
Once the above prompt is written, click ‘Run’ to generate a descriptive statistics table of the dataset.
Step 2 — Error Demonstration ❌
Show a common mistake in plotting area charts, such as overlapping areas without distinction.
The Prompt is :
We can see that “Aquaculture” and “Capture fisheries” are not actually subsets of each other.
However, the AI did not get this point and mistakenly categorized “Capture fisheries” as being included within “Aquaculture.”
Once the above prompt is written, click ‘Run’ to see an incorrect area chart with overlapping data.
Step 3 — Beginner Level
Create a basic area chart to visualize “Aquaculture” and “Capture fisheries” over the years. This step involves generating a clear, non-stacked area chart.
The Prompt is :
Read Area chart.csv This is an XY table, where X is “Year” and Y represents “Aquaculture” and “Capture fisheries”.
Use X as the horizontal axis and Y as the vertical axis to generate an area chart named “Area Chart.”
Please note: “Aquaculture” and “Capture fisheries” are two different categories. When plotting, do not stack them.
Once the above prompt is written, click ‘Run’ to visualize an initial area chart.
Step 4 — Advanced Level
The Prompt is :
(same as Step 3, but add the part below)……
Beautify the chart:
1 Y-axis title: Name it “Seafood production”.
2. Axis border style: Use 1pt lines for both the X-axis and Y-axis.
3. X-axis format: Add tick marks pointing downward.
4. Y-axis format: Add tick marks pointing to the left.
Develop a more sophisticated area chart by adding labels, distinct colors, a legend, and axis titles.
Once the above prompt is written, click ‘Run’ to see a refined and professional-looking area chart.
Thank you for reading this installment of the AI and Statistics series!
We showed how to effectively use AI to generate and refine area charts for visualizing trends in independent data series.
Stay tuned for our upcoming demonstrations to explore more fascinating data visualization.
Using AI Agent and Bayeslab, anyone can organize, analyze, plot data charts, and make business data predictions like a professional data analyst based on previous data.
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