list manipulation - Filtering and Replacing outliers

I have a set of data that measurements of temperature vs time (date). It is easy to realize when the sensor went wrong as one might see a blip on the data. How to teach to Mathematica to: 1) Detect the "Blip" 2) Delete this Blip 3) Replace the corrupted point for one derived as the mean of the previous data (before the corrupted one) and the one after (after the corrupted one). Thanks in advance !!!

I have tried to setup a test in which each pair of data were compared and if the difference between them was greater than 3 C (or 5C depending how rigorous you want to be). But my reasoning did not work properly.

Thanks in Advance

The dataset is:

l = {{"2013-11-20 23:00:00", 23.52}, {"2013-11-21 00:00:00", 
  23.55}, {"2013-11-21 01:00:00", 23.62}, {"2013-11-21 02:00:00", 
  23.61}, {"2013-11-21 03:00:00", 23.53}, {"2013-11-21 04:00:00", 
  23.45}, {"2013-11-21 05:00:00", 23.52}, {"2013-11-21 06:00:00", 
  23.4}, {"2013-11-21 07:00:00", 24.02}, {"2013-11-21 08:00:00", 
  26.7}, {"2013-11-21 09:00:00", 27.54}, {"2013-11-21 10:00:00", 
  29.67}, {"2013-11-21 11:00:00", 28.3}, {"2013-11-21 12:00:00", 

  17.94}, {"2013-11-21 13:00:00", 27.42}, {"2013-11-21 14:00:00", 
  25.82}, {"2013-11-21 15:00:00", 24.61}, {"2013-11-21 16:00:00", 
  23.91}, {"2013-11-21 17:00:00", 24.58}, {"2013-11-21 18:00:00", 
  24.31}, {"2013-11-21 19:00:00", 23.18}, {"2013-11-21 20:00:00", 
  28.99}, {"2013-11-21 21:00:00", 22.56}, {"2013-11-21 22:00:00", 
  22.01}}

TempPlot

Comments

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Adding a thick curve to a regionplot

Suppose we have the following simple RegionPlot: f[x_] := 1 - x^2 g[x_] := 1 - 0.5 x^2 RegionPlot[{y < f[x], f[x] < y < g[x], y > g[x]}, {x, 0, 2}, {y, 0, 2}] Now I'm trying to change the curve defined by $y=g[x]$ into a thick black curve, while leaving all other boundaries in the plot unchanged. I've tried adding the region $y=g[x]$ and playing with the plotstyle, which didn't work, and I've tried BoundaryStyle, which changed all the boundaries in the plot. Now I'm kinda out of ideas... Any help would be appreciated! Answer With f[x_] := 1 - x^2 g[x_] := 1 - 0.5 x^2 You can use Epilog to add the thick line: RegionPlot[{y < f[x], f[x] < y < g[x], y > g[x]}, {x, 0, 2}, {y, 0, 2}, PlotPoints -> 50, Epilog -> (Plot[g[x], {x, 0, 2}, PlotStyle -> {Black, Thick}][[1]]), PlotStyle -> {Directive[Yellow, Opacity[0.4]], Directive[Pink, Opacity[0.4]],

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