Update README.md

Author: epezent

README.md

@@ -116,6 +116,11 @@ A: The API is thoroughly commented in `implot.h`, and the demo in `implot_demo.c
 
 A: Yes, within reason. You can plot tens to hundreds of thousands of points without issue, but don't expect millions to be a buttery smooth experience. That said, you can always downsample extremely large datasets by telling ImPlot to stride your data at larger intervals if needed.
 
+**Q: What data types can I plot?**
+
+A: ImPlot plotting functions accept most scalar types:
+`float`, `double`, `int8`, `uint8`, `int16`, `uint16`, `int32`, `uint32`, `int64`, `uint64`. Arrays of custom structs or classes (e.g. `Vector2f` or similar) are easily passed to ImPlot functions using the built in striding features (see `implot.h` for documentation).
+
 **Q: Can plot styles be modified?**
 
 A: Yes. Data colormaps and various styling colors and variables can be pushed/popped or modified permanently on startup. Three default styles are available, as well as an automatic style that attempts to match you ImGui style.
@@ -148,11 +153,6 @@ A: Not exactly, but it does give you the ability to query plot sub-ranges, with
 
 A: Not currently. Use your OS's screen capturing mechanisms if you need to capture a plot. ImPlot is not suitable for rendering publication quality plots; it is only intended to be used as a visualization tool. Post-process your data with MATLAB or matplotlib for these purposes.
 
-**Q: What data types can I plot?**
-
-A: ImPlot plotting functions accept most scalar types:
-`float`, `double`, `int8`, `uint8`, `int16`, `uint16`, `int32`, `uint32`, `int64`, `uint64`. Arrays of custom structs or classes (e.g. `Vector2f` or similar) are easily passed to ImPlot functions using the built in striding features (see `implot.h` for documentation).
-
 **Q: Can ImPlot be used with other languages/bindings?**
 
 A: Yes, you can use the generated C binding, [cimplot](https://github.com/cimgui/cimplot) with most high level languages. [DearPyGui](https://github.com/hoffstadt/DearPyGui) provides a Python wrapper, among other things. A Rust binding, [implot-rs](https://github.com/4bb4/implot-rs), is currently in the works. An example using Emscripten can be found [here](https://github.com/pthom/implot_demo).