### A Pluto.jl notebook ### # v0.19.42 using Markdown using InteractiveUtils # ╔═╡ 392c0b6d-a652-4fea-91d0-a1c2a428c3e7 md""" # Read CSV file Read the CSV file `resources/fitting_task_data.csv` into a dataframe. Make sure you use some keyword arguments to be able to parse the table data in the right way. Create a new dataframe `data` that contains only two columns `t` and `h` that include the errors in them. You can optionally add units to the column values. Make sure you import needed Packages! """ # ╔═╡ 19248cb7-ba33-4ec7-940c-2ac3b754becf # Your code starts here # ╔═╡ afbef99d-39cb-4e6f-8333-c818e49142ef md""" # Scatter plot Plot the height `h` against the time `t` in the dataframe `data` using a `scatter` plot. Make sure you have labels, errorbars and a title. Save your figure in the directory `resources`. """ # ╔═╡ a7b70109-4fb0-47db-8f1f-575bd5d6d94e # Your code starts here # ╔═╡ c060139e-10bf-4e08-903a-7f4b1ad7d1f2 md""" # Fitting Fit the data to the following model: $h(t, a) = \frac{1}{2} a t^2$ The fit should give you the value for $a$. Now plot the fit result with the determined value of $a$. """ # ╔═╡ 86d29117-9c0d-43f2-a1f5-51ef83dbe84c # Your code starts here # ╔═╡ Cell order: # ╟─392c0b6d-a652-4fea-91d0-a1c2a428c3e7 # ╠═19248cb7-ba33-4ec7-940c-2ac3b754becf # ╟─afbef99d-39cb-4e6f-8333-c818e49142ef # ╠═a7b70109-4fb0-47db-8f1f-575bd5d6d94e # ╟─c060139e-10bf-4e08-903a-7f4b1ad7d1f2 # ╠═86d29117-9c0d-43f2-a1f5-51ef83dbe84c