dsky

If you want to <a href="https://spoonacular.com/blog/how-to-start-a-food-blog" rel="nofollow ugc">start a food blog</a> this plugin is for you. The plugin allows recipe authors to enhance their recipes with three widgets:
<ol>
<li>An ingredient visualizer to make more attractive ingredient lists. </li>
<li>A price analyzer that shows how much the recipe approximately costs. </li>
<li>A nutrition visualizer that automatically calculates the recipe’s nutritional information and displays the macro- and micronutrients.</li>
</ol>
If you find yourself in need of some help, have a look at the <a href="https://spoonacular.com/blog/spoonacular-widgets-for-wordpress" rel="nofollow ugc">spoonacular recipe widgets for word press</a> post.

spoonacular recipe visualizer

Make your recipe blog look awesome with pretty and insightful visualizations.

dsamourkasidis

Map Visualizer allows users to import csv files, and to create a map out of them using the plugin’s interface. 
After you have successfully imported (or created) a data source, you can visualise it on a map and add it to your posts/pages with a shortcode. 
All shortcodes can be constructed easily through the plugin’s interface.
<h4>CSV File Format</h4>
In order for the CSV file to be imported successfully, its format must comply with the following rules:
<ul>
<li>
The first row must contain all the Header names:
<ul>
<li>If you use geographical coordinates, the headers of the first two column must be named “Latitude” and “Longitude” respectively. </li>
<li>If you use addresses, the first column must be named “Address” and the plugin will geocode the data accordingly.</li>
<li>If you wish to use polygons, the first column must be named “Polygon”. Format of polygon data should be of Well-Known Text.</li>
</ul>
</li>
<li>
The second row must contain the data type of each column:
<ul>
<li>Available data types include “INT”, “FLOAT” and “TEXT”.</li>
<li>For “Latitude” and “Longitude” headers, the data type to be used is “FLOAT”.</li>
<li>For “Polygon” or “Address” headers, the data type to be used is “TEXT”.</li>
</ul>
</li>
</ul>
<h4>shortcode format</h4>
The general format of this plugin’s shortcodes is [visualise]. Available attributes include:
<ul>
<li>“file_name” : The name of the file imported you wish to visualise.</li>
<li>“map” : The map type to be used for the visualization. You can choose between “Satellite” or “Streets” maps and the default one is “Streets”.</li>
<li>“type” : Type of visualization. Either visualise your data as “polygon” or as “marker”. Default type is “marker”.</li>
<li>“marker_type” : Choose between “simple marker” or “circle_marker” to be pinned on the chosen map. The default markers are “simple marker”.</li>
<li>“category” : Header Name of your file, which will be used to differentiate the data based on the marker_type chosen.</li>
<li>“colorant” : Color of circle_markers and polygons, used to differentiate the data.</li>
<li>“circle_radius” : Radius of circle_markers. The default value is 5, and it is advised to stay between a 1-10 scale.</li>
<li>“fill_opacity” : Level of opacity for circle_markers and polygons. The default value is 0.3, and it is advised to stay between a 0.1-1 scale.</li>
<li>“center_point” : An Address for setting the initial center point of the map.</li>
<li>“zoom” : Initial zoom of the map. Value 1 shows the entire world map and the default zoom used is 3.</li>
</ul>

Map Visualizer

Import your data from csv files and visualise them on Google streets/satellite maps

spoonacular recipe visualizer vs Map Visualizer