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Greg Hurst
  • 36.8k
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Here's a few ways to visualize the data:

I've imported your data as a 524 by 3 matrix:

Dimensions[data]
{524, 3}

The easiest way is with ListDensityPlot:

ListDensityPlot[data, ColorFunction -> Hue]

enter image description here

For the other methods, I rescale the function values to run from 0 to 1:

data[[All, 3]] = Rescale[data[[All, 3]]];

A different approach is to use Graphics:

Graphics[
 {Hue[#3], {Hue[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]}} & @@@ data, 
 Frame -> True
]

enter image description here

Another is with ListPlot:

ListPlot[
 Style[{#1, #2}, Hue[#3]] & @@@ data,
 PlotStyle -> PointSize[0.03],
 AspectRatio -> Automatic,
 Axes -> False,
 Frame -> True
]

enter image description here


As for groupingmarking similar datavalues, you can use ClusterClassify. Here I partition into 4 groups:

c = ClusterClassify[data, 4];

Do[color[j] = RandomColor[], {j, 1, 4}]

Graphics[{color[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]} & @@@ 
  Map[Append[Most[#], c[#]] &, data], Frame -> True]

enter image description here

Here's a few ways to visualize the data:

I've imported your data as a 524 by 3 matrix:

Dimensions[data]
{524, 3}

The easiest way is with ListDensityPlot:

ListDensityPlot[data, ColorFunction -> Hue]

enter image description here

For the other methods, I rescale the function values to run from 0 to 1:

data[[All, 3]] = Rescale[data[[All, 3]]];

A different approach is to use Graphics:

Graphics[
 {Hue[#3], {Hue[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]}} & @@@ data, 
 Frame -> True
]

enter image description here

Another is with ListPlot:

ListPlot[
 Style[{#1, #2}, Hue[#3]] & @@@ data,
 PlotStyle -> PointSize[0.03],
 AspectRatio -> Automatic,
 Axes -> False,
 Frame -> True
]

enter image description here


As for grouping similar data, you can use ClusterClassify. Here I partition into 4 groups:

c = ClusterClassify[data, 4];

Do[color[j] = RandomColor[], {j, 1, 4}]

Graphics[{color[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]} & @@@ 
  Map[Append[Most[#], c[#]] &, data], Frame -> True]

enter image description here

Here's a few ways to visualize the data:

I've imported your data as a 524 by 3 matrix:

Dimensions[data]
{524, 3}

The easiest way is with ListDensityPlot:

ListDensityPlot[data, ColorFunction -> Hue]

enter image description here

For the other methods, I rescale the function values to run from 0 to 1:

data[[All, 3]] = Rescale[data[[All, 3]]];

A different approach is to use Graphics:

Graphics[
 {Hue[#3], {Hue[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]}} & @@@ data, 
 Frame -> True
]

enter image description here

Another is with ListPlot:

ListPlot[
 Style[{#1, #2}, Hue[#3]] & @@@ data,
 PlotStyle -> PointSize[0.03],
 AspectRatio -> Automatic,
 Axes -> False,
 Frame -> True
]

enter image description here


As for marking similar values, you can use ClusterClassify. Here I partition into 4 groups:

c = ClusterClassify[data, 4];

Do[color[j] = RandomColor[], {j, 1, 4}]

Graphics[{color[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]} & @@@ 
  Map[Append[Most[#], c[#]] &, data], Frame -> True]

enter image description here

added 420 characters in body
Source Link
Greg Hurst
  • 36.8k
  • 1
  • 94
  • 143

Here's a few ways to visualize the data:

I've imported your data as a 524 by 3 matrix:

Dimensions[data]
{524, 3}

The easiest way is with ListDensityPlot:

ListDensityPlot[data, ColorFunction -> Hue]

enter image description here

For the other methods, I rescale the function values to run from 0 to 1:

data[[All, 3]] = Rescale[data[[All, 3]]];

A different approach is to use Graphics:

Graphics[
 {Hue[#3], {Hue[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]}} & @@@ data, 
 Frame -> True
]

enter image description here

Another is with ListPlot:

ListPlot[
 Style[{#1, #2}, Hue[#3]] & @@@ data,
 PlotStyle -> PointSize[0.03],
 AspectRatio -> Automatic,
 Axes -> False,
 Frame -> True
]

enter image description here


As for grouping similar data, you can use ClusterClassify. Here I partition into 4 groups:

c = ClusterClassify[data, 4];

Do[color[j] = RandomColor[], {j, 1, 4}]

Graphics[{color[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]} & @@@ 
  Map[Append[Most[#], c[#]] &, data], Frame -> True]

enter image description here

Here's a few ways to visualize the data:

I've imported your data as a 524 by 3 matrix:

Dimensions[data]
{524, 3}

The easiest way is with ListDensityPlot:

ListDensityPlot[data, ColorFunction -> Hue]

enter image description here

For the other methods, I rescale the function values to run from 0 to 1:

data[[All, 3]] = Rescale[data[[All, 3]]];

A different approach is to use Graphics:

Graphics[
 {Hue[#3], {Hue[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]}} & @@@ data, 
 Frame -> True
]

enter image description here

Another is with ListPlot:

ListPlot[
 Style[{#1, #2}, Hue[#3]] & @@@ data,
 PlotStyle -> PointSize[0.03],
 AspectRatio -> Automatic,
 Axes -> False,
 Frame -> True
]

enter image description here

Here's a few ways to visualize the data:

I've imported your data as a 524 by 3 matrix:

Dimensions[data]
{524, 3}

The easiest way is with ListDensityPlot:

ListDensityPlot[data, ColorFunction -> Hue]

enter image description here

For the other methods, I rescale the function values to run from 0 to 1:

data[[All, 3]] = Rescale[data[[All, 3]]];

A different approach is to use Graphics:

Graphics[
 {Hue[#3], {Hue[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]}} & @@@ data, 
 Frame -> True
]

enter image description here

Another is with ListPlot:

ListPlot[
 Style[{#1, #2}, Hue[#3]] & @@@ data,
 PlotStyle -> PointSize[0.03],
 AspectRatio -> Automatic,
 Axes -> False,
 Frame -> True
]

enter image description here


As for grouping similar data, you can use ClusterClassify. Here I partition into 4 groups:

c = ClusterClassify[data, 4];

Do[color[j] = RandomColor[], {j, 1, 4}]

Graphics[{color[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]} & @@@ 
  Map[Append[Most[#], c[#]] &, data], Frame -> True]

enter image description here

added 19 characters in body
Source Link
Greg Hurst
  • 36.8k
  • 1
  • 94
  • 143

Here's a few ways to visualize the data:

I've imported your data as a 524 by 3 matrix:

Dimensions[data]
{524, 3}

First rescale the function values to run from 0 to 1:

data[[All, 3]] = Rescale[data[[All, 3]]];

The easiest way is with ListDensityPlot:

ListDensityPlot[data, ColorFunction -> Hue]

enter image description here

For the other methods, I rescale the function values to run from 0 to 1:

data[[All, 3]] = Rescale[data[[All, 3]]];

A different approach is to use Graphics:

Graphics[
 {Hue[#3], {Hue[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]}} & @@@ data, 
 Frame -> True
]

enter image description here

Another is with ListPlot:

ListPlot[
 Style[{#1, #2}, Hue[#3]] & @@@ data,
 PlotStyle -> PointSize[0.03],
 AspectRatio -> Automatic,
 Axes -> False,
 Frame -> True
]

enter image description here

Here's a few ways to visualize the data:

I've imported your data as a 524 by 3 matrix:

Dimensions[data]
{524, 3}

First rescale the function values to run from 0 to 1:

data[[All, 3]] = Rescale[data[[All, 3]]];

The easiest way is with ListDensityPlot:

ListDensityPlot[data, ColorFunction -> Hue]

enter image description here

A different approach is to use Graphics:

Graphics[
 {Hue[#3], {Hue[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]}} & @@@ data, 
 Frame -> True
]

enter image description here

Another is with ListPlot:

ListPlot[
 Style[{#1, #2}, Hue[#3]] & @@@ data,
 PlotStyle -> PointSize[0.03],
 AspectRatio -> Automatic,
 Axes -> False,
 Frame -> True
]

enter image description here

Here's a few ways to visualize the data:

I've imported your data as a 524 by 3 matrix:

Dimensions[data]
{524, 3}

The easiest way is with ListDensityPlot:

ListDensityPlot[data, ColorFunction -> Hue]

enter image description here

For the other methods, I rescale the function values to run from 0 to 1:

data[[All, 3]] = Rescale[data[[All, 3]]];

A different approach is to use Graphics:

Graphics[
 {Hue[#3], {Hue[#3], Cuboid[{#1, #2} - 0.015, {#1, #2} + 0.015]}} & @@@ data, 
 Frame -> True
]

enter image description here

Another is with ListPlot:

ListPlot[
 Style[{#1, #2}, Hue[#3]] & @@@ data,
 PlotStyle -> PointSize[0.03],
 AspectRatio -> Automatic,
 Axes -> False,
 Frame -> True
]

enter image description here

Source Link
Greg Hurst
  • 36.8k
  • 1
  • 94
  • 143
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