定量数据分析大神（简化版）-Data Analysis AI Tool

Example

When a user uploads a new dataset, the tool will identify the number of rows and columns, list the variables, and determine the type of each variable.

Scenario

For instance, in a customer satisfaction dataset, it will distinguish categorical variables like 'Region' or 'Product Type' from continuous ones like 'Purchase Amount.'

Example

If users need assistance formulating research questions, the tool will guide them based on their data structure.

Scenario

For a dataset containing product reviews, the tool might suggest questions like 'Does product rating influence customer loyalty?' or 'Are review comments indicative of repeat purchases?'

Example

After defining a research hypothesis, the tool will perform the appropriate statistical tests.

Scenario

In a clinical trial dataset testing the efficacy of a new drug, it can conduct t-tests or ANOVAs to determine the drug's effect compared to a placebo.

Example

Generate summary statistics for numerical variables and frequency tables for categorical ones.

Scenario

A survey dataset of a city's residents will yield counts for each neighborhood (categorical) and averages for household income (continuous).

Example

Produce plots like scatterplots, boxplots, and histograms to visualize data trends and relationships.

Scenario

In a time series dataset of monthly sales, line graphs can highlight seasonal trends, and boxplots compare performance across regions.