Welcome to the AI and Statistics series! Let’s dive into how AI can transform tabular data into various types of charts.

In this series, we will explore 6 common types of data tables together, going through a total of 46 statistical analysis cases. This will guide you from 0 to 1, mastering :

● the essential foundations of data table structures

● the most common chart plotting and statistical analysis methods.

Don’t worry if you’ve never studied statistics or data analysis, or even if you don’t have any coding background, such as Python. All content will be explained in the most comprehensible natural language descriptions to help you get started with data analysis from scratch. 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.

First , we’ll explore how different table structures can be leveraged for effective data visualization and analysis.

Here are 6 different types of data table structures :

● 2D Data Table: Each row represents a single data point coordinate.

● Column Table: Columns signify groups; row data do not indicate grouping.

● Contingency Table: Predominantly structured with 2 rows by 2 columns.

● Grouped Table: Columns and rows both represent different groups.

● Nested Table: Columns contain at least two subcolumns.

● Multivariate Table: Columns are single variables; rows are data points. Different types of data table structure can be used to create various visualizations and utilize different statistical analysis methods. For example, in a 2D Data Table, we can refer to the image below, which serves as a general case preview thumbnail.

Current and Upcoming Updates

● 2D Data Table:

● Waterfall Chart

● Dual Y-Axis Chart

● Volcano Plot

● Nonlinear Regression Analysis

● Simple Linear Regression Analysis

● Simple Logistic Regression

● Correlation Analysis & Correlation Matrix

● Scatter Plot

● Area Chart

● Standard Curve Analysis Interpolation

● Pareto Chart

● Column Table:

● Scatter Plot

● Multiple Style Scatter Plot

● Floating Bar Chart (Upcoming updates)

● Forest Plot (Upcoming updates)

● Frequency Analysis (…)

● Outlier Identification (…)

● Descriptive Statistics (…)

● One-sample t-test (…)

● Unpaired t-test (…)

● Paired t-test (…)

● Ordinary One-way ANOVA (…)

● Repeated Measures (RM) One-way ANOVA (…)

● Grouped Table:

● Single Y-Value Column Chart (…)

● Single Y-Value Bar Chart (…)

● Multiple Y-Value Column Chart (…)

● Multiple Y-Value Bar Chart (…)

● Heatmap (…)

● Two-way ANOVA (…)

● Three-way ANOVA (…)

● Multiple t-tests (…)

● Contingency Table:

● Chi-square Test (…)

● Sensitivity and Specificity Analysis (…)

● Trend Chi-square Test (…)

● Fisher’s Exact Test (…)

● Multivariate Table:

● Bubble Chart (…)

● Correlation Matrix Analysis (…)

● Multiple Linear Regression Analysis (…)

● Multiple Logistic Regression Analysis (…)

● Principal Component Analysis (…)

● Nested Table:

● Descriptive Statistics Analysis (…)

● Multivariate Table — Normality Test (…)

● Outlier Identification (…)

● One-sample t-test (…)

● Nested t-test (…)

● Nested One-way ANOVA (…)