Test yourself with the skills you have acquired so far
To create effective dashboards, it is recommended:
Including as much information as possible to better transmit the message.
Using as many interactive elements as possible
Including stylized elements in graphics.
Which of the principles below cannot be applied to the creation of a dashboard:
Guiding the attention to important items in the view
Including filters that can only be used by the dashboard creator, not the user.
Using a compact design for the dashboard
One of the best practices in creating dashboards is:
Include tables of information
Keeping dashboard information up-to-date
Use of 3D graphics and stylized elements
What is the goal of Cluster analysis?
Reduce the number of variables to explain a phenomenon
Putting together statistical units according to common characteristics
Create linear combinations of starting variables
What kind of variables can be used in Cluster analysis?
Qualitative and quantitative
The distance matrix:
It has on the diagonal greater negative values
It has on the largest diagonal all 1
It has on the greater diagonal all 0
What is the goal of Correspondence Analysis?
Maximize explained variability
Minimize explained inertia
Maximize explained inertia
Correspondence analysis works on:
Why is the chi-square test carried out?
To check if variables are qualitative
To analyze the existence of interdependence between the two variables COU_04 Cluster analysis
To check if variables are quantitative
The goal of the is PCA:
The reduction of the dimensionality of a complex phenomenon
The aggregation of statistical units according to their distance
The description of a dataset
The matrix of starting data of an ACP must be
With quantitative data
With standardized data
With qualitative data
The components extracted in the Analysis in Principal Components:
They have all eigenvalues > 1
They have the equidistributive property
They are linear combinations of the starting variables
Which of the following is not an element of good data-driven news'?
Can visualisation techniques replace the role of narration in a given story?
Yes, visualisation gives an accurate picture of the situation at a given time and is sufficient to explain the data.
No, visualisation of data does not guarantee sufficient presentation of a context in which to place it.
No, indeed visualisation techniques are superfluous.
How is the data story more effective than the mere presentation of the results of data analysis?
Because the story is structured in such a way that information is more easily remembered.
Because listening to a story activates parts of our brain linked to emotions.
Both of the above