AI Chatbot Examples & Use Cases

Common Query Examples

Finding Datasets

Basic Search

"What datasets do you have?" 
"Show me all health data" 
"Find education datasets" 

Specific Criteria

"Show datasets with more than 10,000 records" 
"What data was updated this week?" 
"Find all datasets from California"

? Data Analysis

Basic Statistics

"What's the average income by state?" 
"Show me the total population of Texas" 
"Calculate the median home price" 
"What's the highest unemployment rate?"

Trend Analysis

"Show unemployment trends over the last 5 years" 
"How has population changed since 2010?" 

Creating Visualizations

Simple Charts

"Create a bar chart of population by state" 
"Show a pie chart of budget allocation" 
"Plot crime rates by city"

Complex Visualizations

"Create a bar chart of the top 10 cities by population, sorted descending" 
"Show a multi-line graph comparing unemployment across regions" 
"Create a stacked bar chart of energy sources by year" 
"Make a scatter plot of income vs education level with trend line"

Comparisons

Simple Comparisons

"Compare California and Texas population" 
"Show the difference between 2022 and 2023 sales" 
"Which state has the highest GDP?" 
"Compare urban vs rural education rates"

Multi-factor Analysis

"Compare states by population, GDP, and unemployment rate" 
"Show how education levels correlate with income across regions" 
"Analyze the relationship between crime rates and population density" 

Step-by-Step Examples

Example 1: Regional Economic Analysis

Step 1: Start broad

You: "Show me economic data for California"

Step 2: Focus on specifics

You: "Focus on unemployment and GDP for the last 5 years"

Step 3: Add comparison

You: "Compare this with Texas and New York"

Step 4: Visualize

You: "Create a line chart showing trends for all three states"

Step 5: Analyze

You: "What patterns do you see? Which state is performing best?"

Example 2: Education Research

Step 1: Find relevant data

You: "What education datasets are available?"

Step 2: Explore the data

You: "Show me high school graduation rates by state"

Step 3: Deep dive

You: "Which factors correlate with graduation rates?"

Step 4: Time analysis

You: "How have graduation rates changed over the past decade?"

Step 5: Generate insights

You: "Summarize the key findings and create a report"

Query Templates

For Analysis

• "Analyze [dataset] for [specific metrics]"
• "What trends exist in [data] from [start date] to [end date]?"
• "Calculate [statistic] for [dataset] grouped by [category]"

For Comparison

• "Compare [metric] between [group A] and [group B]"
• "Show the difference in [metric] before and after [date/event]"
• "Rank [entities] by [metric]"

For Visualization

• "Create a [chart type] showing [data] by [category]"
• "Visualize the relationship between [variable 1] and [variable 2]"
• "Generate a dashboard with [list of metrics]"

For Discovery

• "What datasets contain information about [topic]?"
• "Find all [data type] from [source/date/location]"
• "Show me what data is available for [specific need]"

Pro Tips

1. Build on Previous Queries: The AI remembers context
2. Combine Multiple Operations: Ask for analysis + visualization
3. Iterate and Refine: Start simple, then add complexity
4. Specify Output Format: Tell the AI how you want results presented
5. Use Natural Language: Don't worry about technical syntax

Examples Guide v2.1 - Beta