maths-stats
Graphics for Machine Learning
Last updated
Graphics for Machine Learning
Last updated
A bar chart uses bars to show comparisons between categories of data. These bars can be displayed horizontally or vertically.
It provides a visual interpretation of numerical data by showing the number of data points that fall within a specified range of values (called “bins”).
A frequency polygon is a graph constructed by using lines to join the midpoints of each interval, or bin
This diagram is used to find the correlation between these two variables, how they are related.
Chart1- Scatter Diagram with Strong Negative Correlation
Chart2- Scatter Diagram with Weak Negative Correlation
Chart3- Scatter Diagram with Strong Positive Correlation
Chart4- Scatter Diagram with Weak Positive Correlation
Chart5- Scatter Diagram with Weakest (or no) Correlation
For more details, you can watch these series of videos.
Colors rate the cut of the diamond
The size of the bubbles and the clarity
The size of the diamond in the horizontal
It shows the price in the vertical
A heat map is a graphical representation where individual values of a matrix are represented as colors. A heat map is very useful in visualizing the concentration of values between two dimensions of a matrix. This helps in finding patterns and gives a perspective of depth.
To better understand the table above, a heat map is more useful:
Below flow chart is very handy when choosing the best chart type to use.
These are the chart types we'll cover here. Of course, there are many more.
m = (change in y) / (change in x) -----> Slope or Gradient (how steep the line is)
b = value of y when x=0 ----> just to see where the line crosses the Y axis.
b is easy: just see where the line crosses the Y axis.
A polynomial looks like this:
1- What is "Numerical Reasoning Test"? Where is it used?
2- Go on to this site and take the Numerical Reasoning test. (I advise you to solve it without time limit.)
Good luck!
