It is an application for simple data analysis that can handle pie / line / bar graphs.
You can automatically create a graph from binary data (category and number, number and number, category and category).

〇 Type of data that can be input
1. Category and quantity

Used to analyze "category and quantity" such as the type and quantity of items sold.
You can create pie charts and scatter charts.
The pie chart shows the percentage of input data.
The scatter plot shows the distribution and correlation of the data.

2. Quantity and quantity

Used when analyzing "quantity and quantity" such as height and weight.
You can create line and scatter plots.
Line chart displays a line chart.
The scatter plot shows the distribution of data, the regression line, and the simple correlation coefficient.

3. Categories and categories

It is used to analyze the relationship between categories, like the genres of your favorite books and TV shows.
This dataset can display a bar chart accruing input data and a crosstabulation.
You can also check the relevance by using Cramer's linkage number (independent coefficient).

4. Quantity

It is used to analyze the grades of a test in a class or a single quantity, such as the number of app downloads.
Histogram (frequency distribution table) and normal distribution can be displayed.
The frequency distribution table can be used to check the status with real numbers.
The normal distribution is used to fit the input data to the normal distribution and estimate the overall situation.

* Saving / reading data
It supports saving / reading in CSV format.

〇 Output of graph
Supports output in PDF format.