Introduction of the analysis of the data set on MATLAB that will be gained from the Google trends

Description of the analysis of the data set on MATLAB that will be gained from the Google trends

In this report, there is complete information about the analysis of the data set on MATLAB that will be gained from the Google trends. The data will be taken from the Google trend, and it is about American football and soccer. This trend is taken from the year 2018 to 2019.

What is included?

For this project, there is a complete data file is included that is taken from the Google trend, and it is about football in America. The next thing there is complete Matlab code that will display this dataset in a proper way for the analysis. In the MATLAB code the excel file will be plotted in a proper way. the graph is showing how the trend is increased after every year. Then it will be displayed on the command window of the MATLAB

Limitation of the analysis of the data set on MATLAB that will be gained from the Google trends

There is only one limitation present in the project, and it is related to the displaying of the project. Only one graph will be displayed at one time and then after this the next graph in the next figure.

Part 2

This figure is showing the data about Google Trend about American football. In the x-axis there is complete time line of the 22 months. On the y axis there is complete information about the magnitude of the trend. This shows that when this trend is going down and upwards after the required time. The magnitude is showing that in the first 6 months of the football the value is almost near to 10, and then  after 5-10, this value goes towards 100, and eventually, again it is going down in the next 10 months. After this, the trend becomes famous again, and the graph will be increased up to 90 magnitudes. From the graph it can be forecasted that in the next upcoming years this value will be decreased again in the next five years.

This figure is giving information about the football trend all over America. This graph is somehow different from the other one. This graph is also showing the same features as in the previous one. In the x-axis there is information about the number of months. In the y-axis there is some information about the magnitude of the trend. There is only one change, and that is about the magnitude. This value of this magnitude is just about 40, and it is the highest one from all. The value reached towards the peak value just after 10 months can be seen from this graph. Also the magnitude can be forecasted for the next ten years. the value will be decreased again.

Part 3 a

Description

·       

  This is the required data for the data set. The first line is giving information about the number of years

·         The next line is giving information about the month, day, and year for 22 months.

·         The third line is giving information about the football Google trend data

·         The forth line is giving information about the data set from the Google trend of American football

This line is giving information about the table that will be displayed in the command line

These lines are giving information about the plotting of the graph in the form of figure.

Part 3b

Input: Serial number, Date, American_football, football  

Output: table

Vectors: x-axis and y-axis

Selection Structures: table form

Repetition Structures: Zero