Fix typos in docs (#410)

* Fix typos in docs

* Delete unintentional copy of defaults.fsx

docs/3D-charts/3d-isosurface-plots.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create 3D-IsoSurface charts in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 *)
 
 open System

docs/3D-charts/3d-mesh-plots.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create 3D-Mesh charts in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 *)
 
 open System

docs/3D-charts/3d-scatter-plots.fsx

@@ -34,7 +34,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create three-dimensional point and line charts in F#.
 
-Point3D, Line3D, and Bubble3D charts are all derived from `Chart.Scatter3D` and can be generated by that function as well.
+Point3D, Line3D, and Bubble3D charts are all derived from `Chart.Scatter3D` and can be generated by that function, as well.
 However, `Chart.Point3D`, `Chart.Line3D`, or `Chart.Bubble3D` provide sensible defaults and arguments for the respective derived chart, and are recommended to use.
 
 ## 3D point chart

docs/3D-charts/3d-streamtube-plots.fsx

@@ -33,7 +33,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create 3D-StreamTube charts in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 *)
 
 open Deedle

docs/3D-charts/3d-surface-plots.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create 3D surface plots in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 *)
 open System
 open Plotly.NET

docs/3D-charts/3d-volume-plots.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create 3D-Volume charts in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 *)
 
 open System

docs/carpet-charts/carpet_line_scatter_plots.fsx

@@ -33,7 +33,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create carpet charts in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 
 *)
 
@@ -56,7 +56,7 @@ Besides the ability to incorporate more variables, another feature that distingu
 
 A conventional carpet plot can capture the interaction of up to three independent variables and three dependent variables and still be easily read and interpolated.
 
-Carpet plots have common applications within areas such as material science for showing elastic modulus in laminates,and within aeronautics.
+Carpet plots have common applications within areas such as material science for showing elastic modulus in laminates, and within aeronautics.
 
 A carpet plot with two independent variables and one dependent variable is often called a cheater plot for the use of a phantom "cheater" axis instead of the horizontal axis. 
 
@@ -66,7 +66,7 @@ A carpet plot with two independent variables and one dependent variable is often
 
 In plotly, carpet plots are different to all other trace types in the regard that the coordinate system of the carpet is not set on the layout, but is itself a trace.
 
-Use `Chart.Carpet` to define these `coordinate traces`. All carpets have a mandatory identifier, which will be used by other traces to define which carpet coordinate system to use.
+Use `Chart.Carpet` to define these `coordinate traces`. All carpets have a mandatory identifier which will be used by other traces to define which carpet coordinate system to use.
 *)
 
 let carpet = Chart.Carpet(carpetId = "carpetIdentifier", A = a, B = b, Y = y)
@@ -83,7 +83,7 @@ carpet |> GenericChart.toChartHTML
 (**
 ## Carpet point charts
 
-use `Chart.PointCarpet` to create a point plot on the referenced carpet coordinate system:
+Use `Chart.PointCarpet` to create a point plot on the referenced carpet coordinate system:
 *)
 let carpetPoint =
     [ carpet
@@ -102,7 +102,7 @@ carpetPoint |> GenericChart.toChartHTML
 (**
 ## Carpet line charts
 
-use `Chart.LineCarpet` to create a line plot on the referenced carpet coordinate system:
+Use `Chart.LineCarpet` to create a line plot on the referenced carpet coordinate system:
 *)
 
 let carpetLine =
@@ -122,7 +122,7 @@ carpetLine |> GenericChart.toChartHTML
 (**
 ## Carpet Spline charts
 
-use `Chart.LineCarpet` to create a spline plot on the referenced carpet coordinate system:
+Use `Chart.LineCarpet` to create a spline plot on the referenced carpet coordinate system:
 *)
 
 let carpetSpline =
@@ -142,7 +142,7 @@ carpetSpline |> GenericChart.toChartHTML
 (**
 ## Carpet bubble charts
 
-use `Chart.LineCarpet` to create a bubble plot on the referenced carpet coordinate system:
+Use `Chart.LineCarpet` to create a bubble plot on the referenced carpet coordinate system:
 *)
 
 let carpetBubble =

docs/categorical-charts/icicle.fsx

@@ -37,7 +37,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 Icicle charts visualize hierarchical data using rectangular sectors that cascade from root to leaves in one of four directions: up, down, left, or right. 
 Similar to Sunburst charts and Treemaps charts, the hierarchy is defined by labels and parents attributes. 
 Click on one sector to zoom in/out, which also displays a pathbar on the top of your icicle. 
-To zoom out, you can click the parent sector or click the pathbar as well.
+To zoom out, you can click the parent sector or click the pathbar, as well.
 *)
 
 open Plotly.NET
@@ -71,7 +71,7 @@ icicle |> GenericChart.toChartHTML
 (**
 ## More styled example
 
-This example shows the usage of some of the styling possibility using `Chart.Icicle`.
+This example shows the usage of some of the styling options using `Chart.Icicle`.
 For even more styling control, use the respective TraceStyle function `TraceDomainStyle.Icicle`
 *)
 

docs/categorical-charts/parallel-categories.fsx

@@ -62,7 +62,7 @@ parcats |> GenericChart.toChartHTML
 (**
 ## More styled example
 
-This example shows the usage of some of the styling possibility using `Chart.ParallelCategories`.
+This example shows the usage of some of the styling options using `Chart.ParallelCategories`.
 For even more styling control, use the respective TraceStyle function `TraceDomainStyle.ParallelCategories`
 *)
 

docs/categorical-charts/parallel-coords.fsx

@@ -34,7 +34,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create parallel coordinates plot in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 
 *)
 
@@ -69,7 +69,7 @@ parcoords1 |> GenericChart.toChartHTML
 (**
 ## More styled example
 
-This example shows the usage of some of the styling possibility using `Chart.ParallelCoord`.
+This example shows the usage of some of the styling options using `Chart.ParallelCoord`.
 For even more styling control, use the respective TraceStyle function `TraceDomainStyle.ParallelCoord`
 *)
 

docs/categorical-charts/sunburst.fsx

@@ -33,7 +33,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create sunburst charts in F#.
 
-Sunburst Chart � also known as Ring Chart, Multi-level Pie Chart, and Radial Treemap � is typically used to visualize hierarchical data structures.
+Sunburst Chart, also known as Ring Chart, Multi-level Pie Chart, and Radial Treemap, is typically used to visualize hierarchical data structures.
 A Sunburst Chart consists of an inner circle surrounded by rings of deeper hierarchy levels.
 The angle of each segment is either proportional to a value or divided equally under its parent node.
 
@@ -55,7 +55,7 @@ let sunburstChart =
 (**
 ## More styled example
 
-This example shows the usage of some of the styling possibility using `Chart.Sunburst`.
+This example shows the usage of some of the styling options using `Chart.Sunburst`.
 For even more styling control, use the respective TraceStyle function `TraceDomainStyle.Sunburst`
 *)
 

docs/categorical-charts/treemap.fsx

@@ -39,7 +39,7 @@ The space inside each of the rectangles that compose a Treemap is highlighted ba
 
 ## Treemap example
 
-This example shows the usage of some of the styling possibility using `Chart.Treemap`.
+This example shows the usage of some of the styling options using `Chart.Treemap`.
 For even more styling control, use the respective TraceStyle function `TraceDomainStyle.Treemap`
 *)
 

docs/chart-layout/annotations.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create Shapes and add them to the Charts in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 
 *)
 
@@ -42,7 +42,7 @@ let x = [ 1.; 2.; 3.; 4.; 5.; 6.; 7.; 8.; 9.; 10. ]
 let y = [ 2.; 1.5; 5.; 1.5; 3.; 2.5; 2.5; 1.5; 3.5; 1. ]
 
 (**
-use the `Annotation.init` function to generate a shape, and either the `Chart.withAnnotation` or the `Chart.withAnnotations` function to add
+Use the `Annotation.init` function to generate a shape, and either the `Chart.withAnnotation` or the `Chart.withAnnotations` function to add
 multiple annotations at once.
 
 *)

docs/chart-layout/axis-styling.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to style chart axes in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 *)
 
 open Plotly.NET
@@ -62,7 +62,7 @@ plot1 |> GenericChart.toChartHTML
 (***include-it-raw***)
 
 (**
-for even more fine-grained control, initialize a new axis and replace the old one of the plot with ````.
+For even more fine-grained control, initialize a new axis and replace the old one of the plot with `Chart.with*_Axis`.
 The following example creates two mirrored axes with inside ticks, one of them with a log scale:
 *)
 

docs/chart-layout/errorbars.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to add error bars to plots in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 
 *)
 

docs/chart-layout/layout_images.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create Images and add them to the Charts in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 
 *)
 
@@ -42,7 +42,7 @@ let x = [ 1.; 2.; 3.; 4.; 5.; 6.; 7.; 8.; 9.; 10. ]
 let y = [ 2.; 1.5; 5.; 1.5; 3.; 2.5; 2.5; 1.5; 3.5; 1. ]
 
 (**
-use the `LayoutImage.init` function to generate an image, and either the `Chart.withLayoutImage` or the `Chart.withLayoutImages` function to add
+Use the `LayoutImage.init` function to generate an image, and either the `Chart.withLayoutImage` or the `Chart.withLayoutImages` function to add
 multiple annotations at once.
 
 *)

docs/chart-layout/multiple-charts.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create charts with multiple subplots in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 
 *)
 
@@ -71,7 +71,7 @@ combinedChart |> GenericChart.toChartHTML
 
 `Chart.Grid` creates a subplot grid. There are two overloads:
 
-You can either use Chart.Grid with a 1 dimensional sequence of Charts and specify the amount of rows and columns:
+You can either use Chart.Grid with a 1 dimensional sequence of Charts and specify the number of rows and columns:
 
 *)
 
@@ -133,8 +133,8 @@ grid2 |> GenericChart.toChartHTML
 
 (**
 To leave cells of the grid empty, you have to fill it with dummy charts via `Chart.Invisible()`.
-Pleas enote that when using a 2D sequence with unequal amounts of charts in the rows, the column amount will be set
-to the row with the highest amount of charts, and the other rows will be filled by invisible charts to the right.
+Pleas note that when using a 2D sequence with unequal numbers of charts in the rows, the column count will be set
+to the row with the highest number of charts, and the other rows will be filled by invisible charts to the right.
 *)
 
 //simple 2x2 subplot grid with an empty cell at position 1,2
@@ -164,7 +164,7 @@ grid3 |> GenericChart.toChartHTML
 (***include-it-raw***)
 
 (**
-use `Pattern=StyleParam.LayoutGridPatter.Coupled` to use one shared x axis per column and one shared y axis per row. 
+Use `Pattern=StyleParam.LayoutGridPatter.Coupled` to use one shared x axis per column and one shared y axis per row. 
 (Try zooming in the single subplots below)
 *)
 
@@ -196,7 +196,7 @@ grid4 |> GenericChart.toChartHTML
 ### Chart.SingleStack
 
 The `Chart.SingleStack` function is a special version of Chart.Grid that creates only one column from a 1D input chart sequence.
-It uses a shared x axis per default.
+It uses a shared x axis by default.
 
 As with all grid charts, you can also use the Chart.withLayoutGridStyle to style subplot grids:
 
@@ -228,7 +228,7 @@ singleStack |> GenericChart.toChartHTML
 
 Chart.Grid does some internal magic to make sure that all trace types get their grid cell according to plotly.js's inner logic. 
 
-The only thing you have to consider is, that when you are using nested combined charts, that these have to have the same trace type.
+The only thing you have to consider is that when you are using nested combined charts, they have to have the same trace type.
 
 Otherwise, you can freely combine all charts with Chart.Grid:
 
@@ -324,7 +324,7 @@ multipleTraceTypesGrid |> GenericChart.toChartHTML
 (***include-it-raw***)
 
 (**
-If you are not sure if traceTypes are compatible, look at the `TraceIDs`:
+If you are not sure if trace types are compatible, look at the `TraceIDs`:
 *)
 
 let pointType = Chart.Point(xy = [ 1, 2 ]) |> GenericChart.getTraceID

docs/chart-layout/shapes.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create Shapes and add them to the Charts in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 
 *)
 
@@ -42,7 +42,7 @@ let x = [ 1.; 2.; 3.; 4.; 5.; 6.; 7.; 8.; 9.; 10. ]
 let y' = [ 2.; 1.5; 5.; 1.5; 3.; 2.5; 2.5; 1.5; 3.5; 1. ]
 
 (**
-use the `Shape.init` function to generate a shape, and either the `Chart.withShape` or the `Chart.withShapes` function to add
+Use the `Shape.init` function to generate a shape, and either the `Chart.withShape` or the `Chart.withShapes` function to add
 multiple shapes at once.
 
 **Attention**: Adding a shape after you added a previous one currently removes the old one. This is a bug and will be fixed

docs/chart-layout/sliders.fsx

@@ -34,7 +34,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 The sliders give the option of passing the arguments to the Plotly chart. In the example we use the visibility parameter to make the step chosen in the slider visible.
 
-The original exapmle is made with python and can be found [here](https://plotly.com/python/sliders)
+The original example is written in Python and can be found [here](https://plotly.com/python/sliders)
 *)
 
 open Plotly.NET
@@ -78,7 +78,7 @@ let sliderSteps =
     steps
     |> Seq.indexed
     |> Seq.map (fun (i, step) ->
-        // Create a visibility and a title parameters
+        // Create a visibility and a title parameter
         // The visibility parameter includes an array where every parameter
         // is mapped onto the trace visibility
         let visible =

docs/distribution-charts/2d-histograms.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create a bi-dimensional histogram of two data samples in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 *)
 
 open Plotly.NET

docs/distribution-charts/box-plots.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create boxplot charts in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 *)
 
 open Plotly.NET
@@ -71,7 +71,7 @@ box1 |> GenericChart.toChartHTML
 (***include-it-raw***)
 
 (**
-By swapping x and y plus using `StyleParam.Orientation.Horizontal` we can flip the chart horizontaly.
+By swapping x and y plus using `StyleParam.Orientation.Horizontal`, we can flip the chart horizontally.
 *)
 let box2 =
     Chart.BoxPlot(

docs/distribution-charts/contour-plots.fsx

@@ -32,7 +32,7 @@ Plotly.NET.Defaults.DefaultDisplayOptions <-
 
 *Summary:* This example shows how to create contour plot in F#.
 
-let's first create some data for the purpose of creating example charts:
+Let's first create some data for the purpose of creating example charts:
 
 *)
 
@@ -79,7 +79,7 @@ contour1 |> GenericChart.toChartHTML
 (**
 ## Smooth Contour Coloring
 
-to apply heatmap gradient coloring between each contour level, set the `ContourColoring` to `heatmap`:
+To apply heatmap gradient coloring between each contour level, set the `ContourColoring` to `heatmap`:
 *)
 
 let contour2 =