fix typos

Author: 38

.vscode/settings.json

@@ -0,0 +1,5 @@
+{
+    "cSpell.words": [
+        "chrono"
+    ]
+}

src/basic/basic_data_plotting.md

@@ -2,12 +2,12 @@
 
 In this section, let's use Plotters to produce different types of Plotting.
 Generally speaking, the API `ChartContext::draw_series` provides the functionality
-to draw any types of chart. In the following parts, let's dicuss how to use it to 
+to draw any types of chart. In the following parts, let's discuss how to use it to 
 render different types of plots.
 
 ## Line series
 
-The following code demostrate how to draw a line series with Plotters
+The following code demonstrate how to draw a line series with Plotters
 
 ```rust
 use plotters::prelude::*;
@@ -38,8 +38,8 @@ It should produce the following image
 
 ## Scatter Plot
 
-The following code demostrate how we can crate a scatter plot and use different pointing elements.
-In the example, we use `Circle` and `TriagnleMarker` pointing element for two different series.
+The following code demonstrate how we can crate a scatter plot and use different pointing elements.
+In the example, we use `Circle` and `TriangleMarker` pointing element for two different series.
 
 In this example, we assume there are `DATA1` and `DATA2` defined. See the source for the details.
 
@@ -78,7 +78,7 @@ And this will produce the following image.
 
 ## Area chart
 
-The following demo demostrate how we can draw an area chart.
+The following demo demonstrate how we can draw an area chart.
 
 ```rust
 use plotters::prelude::*;
@@ -116,13 +116,13 @@ Result image:
 
 ## Histogram
 
-In practise, the histogram can be two things:
+In practice, the histogram can be two things:
 
 1. A bar plot
 2. Or a bar plot that shows the distribution of values
 
 For a bar plot, we can simply create with a iterator that yields a series of
-rectangle. The following code demostrates how. The function `Rectangle::margin` 
+rectangle. The following code demonstrates how. The function `Rectangle::margin` 
 is used to set a pixel based margin for the rectangle element.
 
 ```rust
@@ -157,7 +157,7 @@ Result image:
 
 ![2.8.png](../../images/2.8.png)
 
-Similary, the following code draws a vertical bar chart.
+Similarly, the following code draws a vertical bar chart.
 
 ```rust
 use plotters::prelude::*;
@@ -191,7 +191,7 @@ Result image:
 
 ![2.9.png](../../images/2.9.png)
 
-For the second type of histogram, there's a `Histograma` series type is defined for this purpose.
+For the second type of histogram, there's a `Histogram` series type is defined for this purpose.
 
 ## Time Series Chart
 
@@ -246,7 +246,7 @@ Result image:
 
 ## Customized series
 
-Plotters allows you draw abitrary types of series, even the one isn't built into the Plotters crate. 
+Plotters allows you draw arbitrary types of series, even the one isn't built into the Plotters crate. 
 Plotters uses a really simple abstraction for a data series: An iterator of drawable elements. 
 Thus if you can make your own series an iterator of drawable element, it's a valid data series and can be
 draw on a figure.
@@ -255,7 +255,7 @@ draw on a figure.
 
 
 
-## Mutiple Data Series
+## Multiple Data Series
 
 By calling `draw_series` multiple time, Plotters is able to produce the multiple series plot. 
 Thus, we don't limit the developer's ability to put different types of plot series onto the same
@@ -308,7 +308,7 @@ When you call `ChartContext::draw_series`, a result type that carries a handle t
 is returned and you can use it to add a series label to that.
 
 After you complete the data plotting, `ChartContext::configure_series_label` can be called to configure and draw
-the collections of series label. The following example demostrate how.
+the collections of series label. The following example demonstrate how.
 
 ```rust
 use plotters::prelude::*;

src/basic/chart_components.md

@@ -5,7 +5,7 @@ the mesh grid, etc. The `ChartContext` type is able to draw those component auto
 
 ## Mesh
 
-The following code demostrate how we can use `ChartContext::configure_mesh` to add a mesh
+The following code demonstrate how we can use `ChartContext::configure_mesh` to add a mesh
 to the chart.
 
 ```rust
@@ -37,7 +37,7 @@ To add axes to the plot, it requires two steps:
 1. Define the label area size when the `ChartContext` is created.
 2. Use `configure_mesh` to draw the chart components.
 
-The following code demostrates how to add axes
+The following code demonstrates how to add axes
 
 ```rust
 use plotters::prelude::*;

src/intro/getting_started.md

@@ -1,9 +1,9 @@
 # Getting Started
 
-Let's have a quick walkthrough on how to produce a data plot with Plotters.
+Let's have a quick walk through on how to produce a data plot with Plotters.
 This is an example that plotting the graph of a simple equation `y = sin(x)` to a PNG file.
 
-### Step 0 - Install prerequisite libraries to system
+## Step 0 - Install prerequisite libraries to system
 
 Plotters may use some library installed on your system, depends on what operating system you are using.
 
@@ -16,7 +16,7 @@ command to install them.
 
 * For Windows and OSX user: No prerequisite library is required.
 
-### Step 1 - Add dependency to `cargo.toml`
+## Step 1 - Add dependency to `cargo.toml`
 
 In order to use Plotters, add the following line to your `cargo.tmol`
 
@@ -57,7 +57,7 @@ fn main() {
 }
 ```
 
-### Step 3 - Build and run
+## Step 3 - Build and run
 
 Use the following command to build and run the example
 

src/intro/introduction.md

@@ -1,12 +1,12 @@
-# Plotters Develvoper's Guide
+# Plotters Developer Guide
 
 Plotters is a drawing library aimed to expedite the production of high-quality data visualization in Rust.
 
 Plotters supports various types of backend and provides a easy-to-use high level drawing API that
 makes data visualization easy. The Plotters API is designed to be highly flexible and extensible.
 
-Plotters is able to render the data visualization as a static image, a GIF animation and even realtime rendering
-backed on WASM, Piston Window or GTK/Cario. 
+Plotters is able to render the data visualization as a static image, a GIF animation and even real-time rendering
+backed on WASM, Piston Window or GTK/Cairo. 
 
 ## Source code in this book
 
@@ -20,19 +20,18 @@ cargo run --bin <example-name>
 
 ### FAQ List
 
-1. Why the example just exits without any figure poping up?
+1. Why the example just exits without any figure popping up?
 
 You should be table to find the output under `images` directory under the user's guide repository. 
-The filename for the output is the defined in the example code. 
+The filename for the output is the defined in the example code.
 
 ## API Docs
 
 This book is a developer's guide for Plotters. You may also want the API reference, please go to [docs.rs](https://docs.rs/plotters).
 
 ## Interactive Tutorial
 
-There's an interactive tutorial with Jupyter notebook + excvr availible, feel free to check the 
-[statically rendered notebook](https://plotters-rs.github.io/plotters-doc-data/evcxr-jupyter-integration.html)
+There's an interactive tutorial with Jupyter notebook + excvr availible, feel free to check the [statically rendered notebook](https://plotters-rs.github.io/plotters-doc-data/evcxr-jupyter-integration.html)
 and follow the instruction to setup the interactive tutorial on your local.
 
 ## License and Source Code