Chart Clicker: Extensible, Beautiful Charts for Perl

Chart::Clicker - Powerful, extensible charting.

VERSION

version 2.90

SYNOPSIS

use Chart::Clicker;

my $cc = Chart::Clicker->new;

my @values = (42, 25, 86, 23, 2, 19, 103, 12, 54, 9);
$cc->add_data('Sales', \@values);

# alternately, you can add data one bit at a time...
foreach my $v (@values) {
  $cc->add_data('Sales', $v);
}

# Or, if you want to specify the keys you can use a hashref
my $data = { 12 => 123, 13 => 341, 14 => 1241 };
$cc->add_data('Sales', $data);

$cc->write_output('foo.png');

DESCRIPTION

Chart::Clicker aims to be a powerful, extensible charting package that creates really pretty output. Charts can be saved in png, svg, pdf and postscript format.

Clicker leverages the power of Graphics::Primitive to create snazzy graphics without being tied to specific backend. You may want to begin with Chart::Clicker::Tutorial.

EXAMPLES

For code examples see the examples repository on GitHub: http://github.com/gphat/chart-clicker-examples/

FEATURES

Renderers

Clicker supports the following renderers:

  • Line
  • StackedLine
  • Bar
  • StackedBar
  • Area
  • StackedArea
  • Bubble
  • CandleStick
  • Point
  • Pie
  • PolarArea

ADDING DATA

The synopsis shows the simple way to add data.

my @values = (42, 25, 86, 23, 2, 19, 103, 12, 54, 9);
foreach my $v (@values) {
  $cc->add_data('Sales', $v);
}

This is a convenience method provided to make simple cases much simpler. Adding multiple Series to a chart is as easy as changing the name argument of add_data. Each unique first argument will result in a separate series. See the docs for add_data to learn more.

If you'd like to use the more advanced features of Clicker you'll need to shake off this simple method and build Series & DataSets explicitly.

use Chart::Clicker::Data::Series;
use Chart::Clicker::Data::DataSet;

...

my $series = Chart::Clicker::Data::Series->new(
  keys    => [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ],
  values  => [ 42, 25, 86, 23, 2, 19, 103, 12, 54, 9 ],
);

my $ds = Chart::Clicker::Data::DataSet->new(series => [ $series ]);

$cc->add_to_datasets($ds);

This used to be the only way to add data, but repeated requests to make the common case easier resulted in the inclusion of add_data.

CONTEXTS

The normal use case for a chart is a couple of datasets on the same axes. Sometimes you want to chart one or more datasets on different axes. A common need for this is when you are comparing two datasets of vastly different scale such as the number of employees in an office (1-10) to monthly revenues (10s of thousands). On a normal chart the number of employees would show up as a flat line at the bottom of the chart.

To correct this, Clicker has contexts. A context is a pair of axes, a renderer and a name. The name is the 'key' by which you will refer to the context.

my $context = Chart::Clicker::Context->new( name => 'sales' );
$clicker->add_to_contexts($context);

$dataset->context('sales');

$clicker->add_to_datasets($dataset);

New contexts provide a fresh domain and range axis and default to a Line renderer.

Caveat: Clicker expects that the default context (identified by the string "default") will always be present. It is from this context that some of Clicker's internals draw their values. You should use the default context unless you need more than one, in which case you should use "default" as the base context.

FORMATS & OUTPUT

Clicker supports PNG, SVG, PDF and PostScript output. To change your output type, specificy it when you create your Clicker object:

my $cc = Chart::Clicker->new(format => 'pdf', ...);
# ...
$cc->write_output('chart.pdf');

If you are looking to get a scalar of the output for use with HTTP or similar things, you can use:

# ... make your chart
$cc->draw;
my $image_data = $cc->rendered_data;

If you happen to be using Catalyst then take a look at Catalyst::View::Graphics::Primitive.

ATTRIBUTES

background_color

Set/Get the background color. Defaults to white.

border

Set/Get the border.

color_allocator

Set/Get the color_allocator for this chart.

contexts

Set/Get the contexts for this chart.

datasets

Get/Set the datasets for this chart.

driver

Set/Get the driver used to render this Chart. Defaults to Graphics::Primitive::Driver::Cairo.

format

Get the format for this Chart. Required in the constructor. Must be on of Png, Pdf, Ps or Svg.

plot_mode

Fast or slow plot mode. When in fast mode, data elements that are deemed to be superfluous or invisible will not be drawn. Default is 'slow'

grid_over

Flag controlling if the grid is rendered over the data. Defaults to 0. You probably want to set the grid's background color to an alpha of 0 if you enable this flag.

height

Set/Get the height. Defaults to 300.

layout_manager

Set/Get the layout manager. Defaults to Layout::Manager::Compass.

legend

Set/Get the legend that will be used with this chart.

legend_position

The position the legend will be added. Should be one of north, south, east, west or center as required by Layout::Manager::Compass.

marker_overlay

Set/Get the marker overlay object that will be used if this chart has markers. This is lazily constructed to save time.

over_decorations

Set/Get an arrayref of "over decorations", or things that are drawn OVER the chart. This is an advanced feature. See overaxis-bar.pl in the examples.

padding

Set/Get the padding. Defaults to 3px on all sides.

plot

Set/Get the plot on which things are drawn.

subgraphs

You can add "child" graphs to this one via add_subgraph. These must be Chart::Clicker objects and they will be added to the bottom of the existing chart. This is a rather esoteric feature.

title

Set/Get the title component for this chart. This is a Graphics::Primitive::TextBox, not a string. To set the title of a chart you should access the TextBox's text method.

$cc->title->text('A Title!');
$cc->title->font->size(20);
# etc, etc

If the title has text then it is added to the chart in the position specified by title_position.

You should consult the documentation for Graphics::Primitive::TextBox for things like padding and text rotation. If you are adding it to the top and want some padding between it and the plot, you can:

$cc->title->padding->bottom(5);

title_position

The position the title will be added. Should be one of north, south, east, west or center as required by Layout::Manager::Compass.

Note that if no angle is set for the title then it will be changed to -1.5707 if the title position is east or west.

width

Set/Get the width. Defaults to 500.

METHODS

context_count

Get a count of contexts.

context_names

Get a list of context names.

delete_context ($name)

Remove the context with the specified name.

get_context ($name)

Get the context with the specified name

set_context ($name, $context)

Set a context of the specified name.

add_to_datasets

Add the specified dataset (or arrayref of datasets) to the chart.

dataset_count

Get a count of datasets.

get_dataset ($index)

Get the dataset at the specified index.

rendered_data

Returns the data for this chart as a scalar. Suitable for 'streaming' to a client.

add_to_over_decorations

Add an over decoration to the list.

get_over_decoration ($index)

Get the over decoration at the specified index.

over_decoration_count

Get a count of over decorations.

add_to_contexts

Add the specified context to the chart.

add_subgraph

Add a subgraph to this chart.

draw

Draw this chart.

get_datasets_for_context

Returns an arrayref containing all datasets for the given context. Used by renderers to get a list of datasets to chart.

add_data ($name, $data)

Convenience method for adding data to the chart. Can be called one of three ways.

scalar

Passing a name and a scalar will append the scalar data to that series' data.

  $cc->add_data('Sales', 1234);
  $cc->add_data('Sales', 1235);

This will result in a Series named 'Sales' with two values.

arrayref

Passing a name and an arrayref works much the same as the scalar method discussed above, but appends the supplied arrayref to the existing one. It may be mixed with the scalar method.

  $cc->add_data('Sales', \@some_sales);
  $cc->add_data('Sales', \@some_more_sales);
  # This works still!
  $cc->add_data('Sales', 1234);

hashref

This allows you to pass both keys and values in all at once.

  $cc->add_data('Sales', { 2009 => 1234, 2010 => 1235 });
  # appends to last call
  $cc->add_data('Sales', { 2011 => 1234, 2012 => 1235 });

You may call the hashref version after the scalar or arrayref versions, but you may not add a scalar or arrayref after adding a hashref (as it's not clear what indices should be used for the new data).

set_renderer ($renderer_object, [ $context ]);

Sets the renderer on the specified context. If no context is provided then 'default' is assumed.

write

This method is passed through to the underlying driver. It is only necessary that you call this if you manually called draw beforehand. You likely want to use write_output.

write_output ($path)

Write the chart output to the specified location. Output is written in the format provided to the constructor (which defaults to Png). Internally calls draw for you. If you use this method, do not call draw first!

$c->write_output('/path/to/the.png');

inside_width

Get the width available in this container after taking away space for insets and borders.

inside_height

Get the height available in this container after taking away space for insets and borders.

ISSUES WITH CENTOS

I've had numerous reports of problems with Chart::Clicker when using CentOS. This problem has usually be solved by updating the version of cairo. I've had reports that upgrading to at least cairo-1.8.8-3 makes thinks work properly.

I hesitate to provide any other data with this because it may get out of date fast. If you have trouble feel free to drop me an email and I'll tell you what I know.

CONTRIBUTORS

Many thanks to the individuals who have contributed various bits:

Ash Berlin

Brian Cassidy

Guillermo Roditi

Torsten Schoenfeld

Yuval Kogman

SOURCE

Chart::Clicker is on github:

http://github.com/gphat/chart-clicker/tree/master

AUTHOR

Cory G Watson gphat@cpan.org

COPYRIGHT AND LICENSE

This software is copyright (c) 2016 by Cory G Watson.

This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.


Download Details:

Author: gphat
Source Code: https://github.com/gphat/chart-clicker

#perl 

What is GEEK

Buddha Community

Chart Clicker: Extensible, Beautiful Charts for Perl
Einar  Hintz

Einar Hintz

1593235440

Visualizing data with NGX-Charts in Angular

Data Science, Data Analytics, Big Data, these are the buzz words of today’s world. A huge amount of data is being generated and analyzed every day. So communicating the insights from that data becomes crucial. Charts help visualize the data and communicate the result of the analysis with charts, it becomes easy to understand the data.

There are a lot of libraries for angular that can be used to build charts. In this blog, we will look at one such library, NGX-Charts. We will see how to use it in angular and how to build data visualizations.

What we will cover:

  1. Installing ngx-chart.

  2. Building a vertical bar graph.

  3. Building a pie chart.

  4. Building an advanced pie chart.

A brief introduction about NGX-Charts

NGX-Chart charting framework for angular2+. It’s open-source and maintained by Swimlane.

NGX-Charts does not merely wrap d3, nor any other chart engine for that matter. It is using Angular to render and animate the SVG elements with all of its binding and speed goodness and uses d3 for the excellent math functions, scales, axis and shape generators, etc. By having Angular do all of the renderings it opens us up to endless possibilities the Angular platform provides such as AoT, Universal, etc.

NGX-Charts supports various chart types like bar charts, line charts, area charts, pie charts, bubble charts, doughnut charts, gauge charts, heatmap, treemap, and number cards.

Installation and Setup

1. Install the ngx-chart package in your angular app.

npm install @swimlane/ngx-charts --save

2. At the time of installing or when you serve your application is you get an error:

ERROR in The target entry-point "@swimlane/ngx-charts" has missing dependencies: - @angular/cdk/portal

You also need to install angular/cdk

npm install @angular/cdk --save

3. Import NgxChartsModule from ‘ngx-charts’ in AppModule

4. NgxChartModule also requires BrowserAnimationModule. Import is inAppModule.

app.module.ts

import { BrowserModule } from '@angular/platform-browser';
import { NgModule } from '@angular/core';
import { AppComponent } from './app.component';
import { NgxChartsModule }from '@swimlane/ngx-charts';
import { BrowserAnimationsModule } from '@angular/platform-browser/animations';
@NgModule({
  declarations: [
    AppComponent
  ],
  imports: [
    BrowserModule,
    BrowserAnimationsModule,
    NgxChartsModule
  ],
  providers: [],
  bootstrap: [AppComponent]
})
export class AppModule { }

Amazing! Now we can start using ngx-chart component and build the graph we want.

In the AppComponent we will provide data that the chart will represent. It’s a sample data for vehicles on the road survey.

#angular #angular 6 #scala #angular #angular 9 #bar chart #charting #charts #d3 charts #data visualisation #ngx #ngx charts #pie

Chart Clicker: Extensible, Beautiful Charts for Perl

Chart::Clicker - Powerful, extensible charting.

VERSION

version 2.90

SYNOPSIS

use Chart::Clicker;

my $cc = Chart::Clicker->new;

my @values = (42, 25, 86, 23, 2, 19, 103, 12, 54, 9);
$cc->add_data('Sales', \@values);

# alternately, you can add data one bit at a time...
foreach my $v (@values) {
  $cc->add_data('Sales', $v);
}

# Or, if you want to specify the keys you can use a hashref
my $data = { 12 => 123, 13 => 341, 14 => 1241 };
$cc->add_data('Sales', $data);

$cc->write_output('foo.png');

DESCRIPTION

Chart::Clicker aims to be a powerful, extensible charting package that creates really pretty output. Charts can be saved in png, svg, pdf and postscript format.

Clicker leverages the power of Graphics::Primitive to create snazzy graphics without being tied to specific backend. You may want to begin with Chart::Clicker::Tutorial.

EXAMPLES

For code examples see the examples repository on GitHub: http://github.com/gphat/chart-clicker-examples/

FEATURES

Renderers

Clicker supports the following renderers:

  • Line
  • StackedLine
  • Bar
  • StackedBar
  • Area
  • StackedArea
  • Bubble
  • CandleStick
  • Point
  • Pie
  • PolarArea

ADDING DATA

The synopsis shows the simple way to add data.

my @values = (42, 25, 86, 23, 2, 19, 103, 12, 54, 9);
foreach my $v (@values) {
  $cc->add_data('Sales', $v);
}

This is a convenience method provided to make simple cases much simpler. Adding multiple Series to a chart is as easy as changing the name argument of add_data. Each unique first argument will result in a separate series. See the docs for add_data to learn more.

If you'd like to use the more advanced features of Clicker you'll need to shake off this simple method and build Series & DataSets explicitly.

use Chart::Clicker::Data::Series;
use Chart::Clicker::Data::DataSet;

...

my $series = Chart::Clicker::Data::Series->new(
  keys    => [ 1, 2, 3, 4, 5, 6, 7, 8, 9, 10 ],
  values  => [ 42, 25, 86, 23, 2, 19, 103, 12, 54, 9 ],
);

my $ds = Chart::Clicker::Data::DataSet->new(series => [ $series ]);

$cc->add_to_datasets($ds);

This used to be the only way to add data, but repeated requests to make the common case easier resulted in the inclusion of add_data.

CONTEXTS

The normal use case for a chart is a couple of datasets on the same axes. Sometimes you want to chart one or more datasets on different axes. A common need for this is when you are comparing two datasets of vastly different scale such as the number of employees in an office (1-10) to monthly revenues (10s of thousands). On a normal chart the number of employees would show up as a flat line at the bottom of the chart.

To correct this, Clicker has contexts. A context is a pair of axes, a renderer and a name. The name is the 'key' by which you will refer to the context.

my $context = Chart::Clicker::Context->new( name => 'sales' );
$clicker->add_to_contexts($context);

$dataset->context('sales');

$clicker->add_to_datasets($dataset);

New contexts provide a fresh domain and range axis and default to a Line renderer.

Caveat: Clicker expects that the default context (identified by the string "default") will always be present. It is from this context that some of Clicker's internals draw their values. You should use the default context unless you need more than one, in which case you should use "default" as the base context.

FORMATS & OUTPUT

Clicker supports PNG, SVG, PDF and PostScript output. To change your output type, specificy it when you create your Clicker object:

my $cc = Chart::Clicker->new(format => 'pdf', ...);
# ...
$cc->write_output('chart.pdf');

If you are looking to get a scalar of the output for use with HTTP or similar things, you can use:

# ... make your chart
$cc->draw;
my $image_data = $cc->rendered_data;

If you happen to be using Catalyst then take a look at Catalyst::View::Graphics::Primitive.

ATTRIBUTES

background_color

Set/Get the background color. Defaults to white.

border

Set/Get the border.

color_allocator

Set/Get the color_allocator for this chart.

contexts

Set/Get the contexts for this chart.

datasets

Get/Set the datasets for this chart.

driver

Set/Get the driver used to render this Chart. Defaults to Graphics::Primitive::Driver::Cairo.

format

Get the format for this Chart. Required in the constructor. Must be on of Png, Pdf, Ps or Svg.

plot_mode

Fast or slow plot mode. When in fast mode, data elements that are deemed to be superfluous or invisible will not be drawn. Default is 'slow'

grid_over

Flag controlling if the grid is rendered over the data. Defaults to 0. You probably want to set the grid's background color to an alpha of 0 if you enable this flag.

height

Set/Get the height. Defaults to 300.

layout_manager

Set/Get the layout manager. Defaults to Layout::Manager::Compass.

legend

Set/Get the legend that will be used with this chart.

legend_position

The position the legend will be added. Should be one of north, south, east, west or center as required by Layout::Manager::Compass.

marker_overlay

Set/Get the marker overlay object that will be used if this chart has markers. This is lazily constructed to save time.

over_decorations

Set/Get an arrayref of "over decorations", or things that are drawn OVER the chart. This is an advanced feature. See overaxis-bar.pl in the examples.

padding

Set/Get the padding. Defaults to 3px on all sides.

plot

Set/Get the plot on which things are drawn.

subgraphs

You can add "child" graphs to this one via add_subgraph. These must be Chart::Clicker objects and they will be added to the bottom of the existing chart. This is a rather esoteric feature.

title

Set/Get the title component for this chart. This is a Graphics::Primitive::TextBox, not a string. To set the title of a chart you should access the TextBox's text method.

$cc->title->text('A Title!');
$cc->title->font->size(20);
# etc, etc

If the title has text then it is added to the chart in the position specified by title_position.

You should consult the documentation for Graphics::Primitive::TextBox for things like padding and text rotation. If you are adding it to the top and want some padding between it and the plot, you can:

$cc->title->padding->bottom(5);

title_position

The position the title will be added. Should be one of north, south, east, west or center as required by Layout::Manager::Compass.

Note that if no angle is set for the title then it will be changed to -1.5707 if the title position is east or west.

width

Set/Get the width. Defaults to 500.

METHODS

context_count

Get a count of contexts.

context_names

Get a list of context names.

delete_context ($name)

Remove the context with the specified name.

get_context ($name)

Get the context with the specified name

set_context ($name, $context)

Set a context of the specified name.

add_to_datasets

Add the specified dataset (or arrayref of datasets) to the chart.

dataset_count

Get a count of datasets.

get_dataset ($index)

Get the dataset at the specified index.

rendered_data

Returns the data for this chart as a scalar. Suitable for 'streaming' to a client.

add_to_over_decorations

Add an over decoration to the list.

get_over_decoration ($index)

Get the over decoration at the specified index.

over_decoration_count

Get a count of over decorations.

add_to_contexts

Add the specified context to the chart.

add_subgraph

Add a subgraph to this chart.

draw

Draw this chart.

get_datasets_for_context

Returns an arrayref containing all datasets for the given context. Used by renderers to get a list of datasets to chart.

add_data ($name, $data)

Convenience method for adding data to the chart. Can be called one of three ways.

scalar

Passing a name and a scalar will append the scalar data to that series' data.

  $cc->add_data('Sales', 1234);
  $cc->add_data('Sales', 1235);

This will result in a Series named 'Sales' with two values.

arrayref

Passing a name and an arrayref works much the same as the scalar method discussed above, but appends the supplied arrayref to the existing one. It may be mixed with the scalar method.

  $cc->add_data('Sales', \@some_sales);
  $cc->add_data('Sales', \@some_more_sales);
  # This works still!
  $cc->add_data('Sales', 1234);

hashref

This allows you to pass both keys and values in all at once.

  $cc->add_data('Sales', { 2009 => 1234, 2010 => 1235 });
  # appends to last call
  $cc->add_data('Sales', { 2011 => 1234, 2012 => 1235 });

You may call the hashref version after the scalar or arrayref versions, but you may not add a scalar or arrayref after adding a hashref (as it's not clear what indices should be used for the new data).

set_renderer ($renderer_object, [ $context ]);

Sets the renderer on the specified context. If no context is provided then 'default' is assumed.

write

This method is passed through to the underlying driver. It is only necessary that you call this if you manually called draw beforehand. You likely want to use write_output.

write_output ($path)

Write the chart output to the specified location. Output is written in the format provided to the constructor (which defaults to Png). Internally calls draw for you. If you use this method, do not call draw first!

$c->write_output('/path/to/the.png');

inside_width

Get the width available in this container after taking away space for insets and borders.

inside_height

Get the height available in this container after taking away space for insets and borders.

ISSUES WITH CENTOS

I've had numerous reports of problems with Chart::Clicker when using CentOS. This problem has usually be solved by updating the version of cairo. I've had reports that upgrading to at least cairo-1.8.8-3 makes thinks work properly.

I hesitate to provide any other data with this because it may get out of date fast. If you have trouble feel free to drop me an email and I'll tell you what I know.

CONTRIBUTORS

Many thanks to the individuals who have contributed various bits:

Ash Berlin

Brian Cassidy

Guillermo Roditi

Torsten Schoenfeld

Yuval Kogman

SOURCE

Chart::Clicker is on github:

http://github.com/gphat/chart-clicker/tree/master

AUTHOR

Cory G Watson gphat@cpan.org

COPYRIGHT AND LICENSE

This software is copyright (c) 2016 by Cory G Watson.

This is free software; you can redistribute it and/or modify it under the same terms as the Perl 5 programming language system itself.


Download Details:

Author: gphat
Source Code: https://github.com/gphat/chart-clicker

#perl 

Top 10 Best React Chart Component for App

React chart is a graphical representation of data, in which “the data is represented by symbols, such as bars in a bar chart, lines in a line chart, or slices in a pie chart”. Using the right type of chart is one decision to make when presenting data but as React developers, we have our own set of concerns, mainly, choosing the right chart component library.

Here are the 10 best react charts component I’ve picked. You can view and apply to your application.

1. Rough Charts

A responsive, composable react charting library with a hand-drawn style.

Features

  • It’s responsive.
  • It’s flexible and easy to compose. You can compose all available ChartSeries Components and render any shapes you like.
  • It’s lovely.
  • It’s written in TypeScript.

Rough Charts

View Demo: https://beizhedenglong.github.io/rough-charts/?path=/docs/roughcharts–page

Github: https://github.com/beizhedenglong/rough-charts

Download Link: https://github.com/beizhedenglong/rough-charts/archive/master.zip

2. Channel Grapher

This is a responsive ThingSpeak API grapher. It uses a JSON router to overcome CORS.

Built using ReactJS, Bootstrap and ChartJS.

Channel Grapher

View Demo: https://opens3.net/channel-grapher.html

Github: https://github.com/wilyarti/channel-grapher

Download Link: https://github.com/wilyarti/channel-grapher/archive/master.zip

3. react-charts

Simple, immersive and interactive charts for React.

Features

  • Line, Bar, Bubble, & Area Charts
  • Hyper Responsive
  • Powered by D3
  • Fully Declarative
  • Flexible data model

react-charts

View Demo: https://react-charts.js.org/examples/line

Github: https://github.com/tannerlinsley/react-charts

Download Link: https://github.com/tannerlinsley/react-charts/archive/master.zip

4. react-charts-and-maps

This project contains the implementation of libraries D3, highcharts and react-google-maps with the ReactJS. It shows how easy is adding those libraries in ReactJS.

react-charts-and-maps

View Demo: https://marekdano.github.io/react-charts-and-maps/

Github: https://github.com/marekdano/react-charts-and-maps

Download Link: https://github.com/marekdano/react-charts-and-maps/archive/master.zip

5. STORM React Diagrams

React Diagrams is currently getting a bit of a rewrite to enable much more advanced features.

STORM React Diagrams

View Demo: http://projectstorm.cloud/react-diagrams/?path=/story/simple-usage–simple-flow-example

Github: https://github.com/projectstorm/react-diagrams

Download Link: https://github.com/projectstorm/react-diagrams/archive/master.zip

6. React-d3-graph

Interactive and configurable graphs with react and d3 effortlessly.

React-d3-graph

View Demo: https://goodguydaniel.com/react-d3-graph/sandbox/index.html

Github: https://github.com/jcapobianco-cbi/react-d3-graph-cbi

Download Link: https://github.com/jcapobianco-cbi/react-d3-graph-cbi/archive/master.zip

7. React-VizGrammar

React VizGrammar is a wrapper around Victory JS and it makes charting easier by adding boilerplate code so that designers and developers can get started and set it up in a few minutes.

A chart can be embedded in a React environment simply by using the VizG react component.

React VizGrammar

View Demo: https://wso2.github.io/react-vizgrammar/#/

Github: https://github.com/wso2/react-vizgrammar

Download Link: https://github.com/wso2/react-vizgrammar/archive/master.zip

8. preact-charts

preact based charting library. Written with d3-maths, and TypeScript!

preact-charts

View Demo: https://codesandbox.io/s/ko300qzppv

Github: http://github.com/pmkroeker/preact-charts

Download Link: https://github.com/pmkroeker/preact-charts/archive/master.zip

9. REAVIZ

REAVIZ is a modular chart component library that leverages React natively for rendering the components while using D3js under the hood for calculations. The library provides an easy way to get started creating charts without sacrificing customization ability.

REAVIZ

View Demo: https://reaviz.io/?path=/docs/docs-intro–page

Github: https://github.com/jask-oss/reaviz

Download Link: https://github.com/jask-oss/reaviz/archive/master.zip

10. React Signals Plot

This is React Signals Plot component for geophysical data visualization.

The component supports ‘on the fly’ data compression. That’s why you can use it for drawing line charts which contain millions of points. ReactSignalsPlot is an interactive component. You can use a mouse or touch to move and zoom.

React Signals Plot

View Demo: https://gromtech.github.io/react-signals-plot/

Github: https://github.com/gromtech/react-signals-plot

Download Link: https://github.com/gromtech/react-signals-plot/archive/develop.zip

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Blazor Charts Component | Interactive Live Charts | Syncfusion

Blazor Charts is a well-crafted charting component to visualize data. It contains a rich UI gallery of 30+ charts and graphs, ranging from line to financial that cater to all charting scenarios. Its high performance helps render large amounts of data quickly. It also comes with features such as zooming, panning, tooltip, crosshair, trackball, highlight, and selection.

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