Ellistat's Data Analysis module offers a multitude of graphs to suit the data entered, thanks to its ability to analyze data characteristics and automatically select the most relevant graph types. This diversity includes bar charts, pie charts, line charts and many others, enabling users to choose the one best suited to their analysis.
To access the various graphs, simply click on the main graph menu.
The graphic page is composed of 3 zones:
- Zone 1: To select the variables to be plotted.
- Zone 2: Graphic selection zone.
- Zone 3: Graphic zone.
1. Zone 1: Variable selection
Ellistat uses a black-box approach to generate graphs from data. This means that the data used comes from a process where one or more factors have been modified in order to observe their impact on the data.
Y: The plotted data
Xi: X's that can have an impact on Y
In zone 1, you can specify the response Y and the factor(s) Xi. Depending on the selected configuration, Ellistat Data Analysis will generate one or more result categories, which will be displayed in zone 2.
2. Zone 2: graphic selection
Below is a summary of the graph categories offered by Ellistat Data Analysis. Let's take the example of the following offset data: Example
Several analyses can be performed on this dataset.
⇒ Quantitative data:
For quantitative data, Ellistat offers two distinct categories of graph to better represent the information.
Proportion
These graphs are particularly suitable when the data involves counts, such as the number of times an event occurs, or the distribution of a population according to specific categories. For example, a bar chart or pie chart could be used to visualize the distribution of sales by product within a company.
Population
These graphs are best suited when quantitative data represent measures, such as dimensions or strengths. For example, a histogram could be used to represent the distribution of heights in a population of individuals, or a scatter graph could illustrate the relationship between two variables such as height and weight in a given population.
By offering both types of graphics, Ellistat enables users to adapt the visualization to the specific nature of their quantitative data, improving the understanding and interpretation of results.
The video below shows how to plot these different graphs with Ellistat Data Analysis:
⇒ Qualitative data
For qualitative data, Ellistat offers proportion graphs.
These graphs are particularly suitable when the data involves counts, such as the number of times an event occurs, or the distribution of a population according to specific categories. For example, a bar chart or pie chart could be used to visualize the distribution of sales by product within a company.
If the data column contains text, Ellistat will automatically display only proportion graphs.
The video below shows how to plot these different graphs with Ellistat Data Analysis:
⇒ Quantitative or qualitative data based on one or more factors
If you wish to study the impact of one or more factors Xi on a response Y. Ellistat offers several categories of graphs.
The presence or absence of a chart category will depend on a number of variables, such as the number of factors, the nature of the responses and factors (whether quantitative or qualitative), the number of modalities available, and other factors.
Proportions
These graphs are particularly suitable when the data involves counts, such as the number of times an event occurs, or the distribution of a population according to several specific categories. For example, a bar chart or pie chart could be used to visualize the distribution of sales by product within a company.
Population
The second type of graph concerns population data. These graphs are best suited when quantitative data represent measures, such as dimensions or strengths. For example, a histogram could be used to represent the distribution of heights in a population of individuals, or a scatter graph could illustrate the relationship between two variables such as height and weight in a given population.
XY - MultiX - Correlation
The 3rd type of graph concerns those that study the relationship between Y response and X factors, such as the multivariate, correlation matrix or XY graph. These graphs enable relationships between several variables to be visualized simultaneously.
The video below shows how to plot these different graphs with Ellistat Data Analysis: