SQL Chart Builder

Hospedagem WordPress com plugin SQL Chart Builder

Onde posso hospedar o plugin SQL Chart Builder?

Este plugin pode ser hospedado em qualquer provedor que possua WordPress configurado. Recomendamos fortemente utilizar um provedor de hospedagem de confiança, com servidores adaptados para WordPress, como o serviço de hospedagem de sites da MCO2.

Hospedando o plugin SQL Chart Builder em um provedor seguro

A MCO2, além de configurar e instalar o WordPress na versão mais nova para seus clientes, oferece o WP SafePress, um sistema singular que salvaguarda e aumenta a performance do seu site simultaneamente.

Por que a Hospedagem WordPress funciona melhor na MCO2?

A Hospedagem WordPress funciona melhor pois a MCO2 possui servidores otimizados para WordPress. A instalação de WordPress é diferente de uma instalação trivial, pois habilita imediatamente recursos como otimização de imagens e fotos, proteção da página de login, bloqueio de atividades suspeitas diretamente no firewall, cache avançado e HTTPS ativado por padrão. São recursos que potencializam seu WordPress para a máxima segurança e o máximo desempenho.

The plugin creates beautiful charts based on your SQL queries, then you can use those charts in any part of your website.
You can use both native wp and non-wp mysql tables in your queries.

11 chart types: Pie, Doughnut, Polar Area, Radar, Line, Area, Stepped Line, Bar, Horizontal Bar, Stacked Bar, Scatter

What’s new in 3.0

• A completely redesigned chart builder. No more “nerd-only” settings page: a clean, tabbed UI walks you through Chart & Data → Dynamic Filters → Style → Advanced.
• Visual chart type picker with built-in guides. Every chart type shows a short “when to use it” guide plus a working example query you can insert with one click.
• Live SQL autocomplete. Start typing and the editor suggests SQL keywords (type “S” — get SELECT), your real database table names and real column names. Type tablename. to see that table’s columns. Press Ctrl+Space for suggestions at any time.
• Click-to-build query toolbar. SELECT / COUNT(*) / FROM / WHERE / GROUP BY / ORDER BY / LIMIT buttons plus “Insert table”, “Insert column” and “Insert dynamic tag” dropdowns filled with your actual database schema — build a best-practice query without typing a single word.
• No-code input filters. Add date/number/text filters as simple rows (tag, type, label, default) — the tag dropdown suggests {tags} already used in your query and columns from its WHERE part. No more memorizing the ~ / | syntax (a raw editor is still available for pros). One click inserts the {tag} into your query.
• Dropdown column mapping. The X/Y axis fields are dropdowns filled with the columns detected in your SQL query — no more guessing column names.
• Color pickers instead of typing hex codes, and a fixed professional default palette instead of random colors.
• Latest Chart.js v4, bundled inside the plugin — no third-party CDN calls, GDPR-friendly.
• 4 new chart types: Radar, Stepped Line, Stacked Bar and Scatter.
• Better front-end design: modern table view, restyled filter form and datepicker.
• Full legacy support: charts created with 2.x keep working unchanged. Deprecated Google-Chart types are automatically mapped to modern equivalents when you open/save the chart.

How to use

1. Go to Dashboard → My SQL Charts → Add New and give any name to your report.

2. Pick a chart type — read the short guide shown under the type cards, or click “Use this example” to start from a working query.

3. Build your SQL query with the toolbar buttons and autocomplete (real table and column names are suggested), then map the X and Y columns.

4. You can use multiple SQL queries too — just split them with the “;” sign to get comparison charts. You can also pass shortcode arguments into the query: with “select * from wp_posts where ID>{arg1}” the shortcode [gvn_schart_2 id=”2″ arg1=”11″] passes the value in.

5. After Publish/Update you will see the shortcode below the builder. Use it anywhere on your website: pages, posts, widgets, or the “My SQL Charts” Gutenberg block.

6. Check “Show table-view data below the graph” to also render the data as a styled table.

7. In the Input Filters tab, add filters by clicking “+ Add filter” — each one becomes an input (with a datepicker for date types) above the chart at the front-end.

Chart type mini-guide

• Pie / Doughnut — how a total splits into a few parts. One query: label column + numeric column.
• Polar Area — like a pie, but the value controls the radius; great for cyclic data (months, weekdays).
• Radar — compare one or more series across categories arranged in a circle (profiles, ratings).
• Line — trends over time; add more “;”-separated queries for comparison lines.
• Area — a line with the region filled; emphasizes volume.
• Stepped Line — values that change at discrete moments (prices, stock levels).
• Bar / Horizontal Bar — compare categories; horizontal is best for long labels.
• Stacked Bar — how each category total is composed; each “;”-separated query becomes one segment.
• Scatter — correlation between two numeric columns (both X and Y must be numeric).

Input filters (dynamic variables)

Use the visual rows in the Input Filters tab, or the raw format:

variable_name~default_value~variable_label~variable_type | variable_name~default_value~variable_label~variable_type

• variable_name – any single name you want.
• default_value – default value when no variable is chosen by the user
• variable_label – label visible on the form above the chart
• variable_type – number, text or date
• ~ separates variable elements, | separates variables

Example: with the filters “limit_tag~10~Count~number | post_date_tag~2010-07-05~Date Published~date”
you can use “select * from wp_posts where post_date<{post_date_tag} limit {limit_tag}” as the SQL code —
the plugin renders the corresponding inputs above the chart automatically.

Supported built-in dynamic tags: {current_user_id}, {current_user_login}, {current_user_email}, {current_user_display_name}.

Caching

Use [gvn_schart_2_cached id=”1″ expire=”3600″] to cache the rendered chart in a transient. Add &force_sql_cache_reload=1 to the URL to bypass it once (e.g. right after upgrading).

Website

https://guaven.com/my-sql-charts/

documentação

https://guaven.com/my-sql-charts/#docs

Submissão de erros e Fórum de suporte

Contact Page

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Available Filters

apply_filters( ‘guaven_sqlcharts_table_empty_cell’);

apply_filters(‘guaven_sqlcharts_pre_print_vars’);

apply_filters( ‘guaven_sqlcharts_final_output’);

apply_filters(‘guaven_sqlcharts_rendered_sql’);