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I would like to have a matlab script which yields a plot similar to the graph in the picture. The code needs to read the .csv file and plot the radial distributions of a certain variable at a specific height (X/D =7, 15, 28 and 35); different set of measurements are provided for different heights. Each .csv file corresponds to a certain altitude. In the same graph, for each height, i want to include a scatter plot which shows the experimental data for which a comparison with the radial profile contained in the .csv is necessary. It is easy to make single plots but i would like to have all the comparisons gathered in one plot, as in the picture. The main axis, which in the picture ranges between 100 and 400 mm has to range between 0 and 0.8 m whereas the horizontal axis will range between 0 and 0.075 m. The vertical axis measures the temperature which is in the found in the .csv file at the 10th column. The radial positions of each temperature value can be found in the same file at under the column Points0. As double check it can be seen that the first point corresponds to 0 m and the last one to 0.075 m. There are 101 points in the array which are used to obtain the continuous line. As can be seen the dots of the scatter plot refer to fewer points. The measurements are included in the xlsx file of the same name. There is a page called Radial Conditional Temperature, for each height (indicated by X_D) Tmean has to be plotted againts the value of the corresponding .csv file. The position of each measurements is given in the r column (the values need to be divided by a factor 1000 since we use meter as unit). D is equal to 4,4 mm. For the scatter plot also the measurements uncertainty needs to be included. In matlab it can be done with the command errorbar, for Tmean the uncertainty is +- 180 kelvin. Clearly, compared to the figure on the vertical axis i need T(k) instead of W. The code needs to be done in such a way that i can easily change the array considered when the .csv and .xlsx file are read so i don't have to waste time when instead of T i want to do the same plot for another variable. The graph would also look better if, for the axes line, instead of the continuous lines dotted lines are used.