Add headers; fix images and links

Diagnostic-information.md

@@ -1,16 +1,10 @@
+# Diagnostic information
+
 SQLite running in sqliteviz is compiled with particular [options][1] that can
 enable or disable some SQLite features. You can get a list of them in `App
-info` dialog (fig. 1) by clicking on <img src="./img/info.svg"/> icon in the top
+info` dialog (fig. 1) by clicking on ![](./img/info.svg) icon in the top
 toolbar.
 
-<p align="center">
-  <img class="figure" src="./img/Screenshot_app_info.png?0.13.0"/>
-</p>
-
-<p align="center">
-  <sub>
-    Fig. 1: App info dialog
-  </sub>
-</p>
+![Fig. 1: App info dialog](./img/Screenshot_app_info.png)
 
 [1]: https://sqlite.org/compile.html

Export-current-database.md

@@ -1,4 +1,6 @@
+# Export current database
+
 Sqliteviz allows running not only `SELECT` statements but DML/DDL statements
 too. You can save database modifications into a `.sqlite` file by clicking on
-icon <img src="./img/file-export.svg"/> next to the database name on `Workspace`
+icon ![](./img/file-export.svg) next to the database name on `Workspace`
 page.

How-to-build-a-pivot-table-in-SQLite.md

@@ -1,7 +1,9 @@
+# How to build a pivot table in SQLite
+
 This how-to explores how to build pivot tables in SQLite, which doesn't have a
 special constructs like `PIVOT` or `CROSSTAB` in its SQL dialect.
 
-# Static-column pivot table
+## Static-column pivot table
 
 If the columns of a pivot table are known beforehand, it's possible to write a
 standard, say SQL-92, query that would produce a pivot table in its result set.
@@ -87,7 +89,7 @@ ORDER BY
   END
 ```
 
-# Dynamic-column pivot table
+## Dynamic-column pivot table
 
 SQLite in sqliteviz is built with [pivot_vtab][2] extension. The same result set
 can be produced with this, arguably simpler and more maintainable, query.

How-to-rename-tables-and-columns-after-CSV-import.md

@@ -1,4 +1,6 @@
-# Rename columns
+# How to rename tables and columns after CSV import
+
+## Rename columns
 
 If sqliteviz parses CSV without `Use first row as column headers` option then
 it will name the columns like `col1`, `col2` etc. You can easily rename the
@@ -9,7 +11,7 @@ ALTER TABLE your_table_name
 RENAME COLUMN current_column_name TO new_column_name;
 ```
 
-## Column rename example
+### Column rename example
 
 There is a table `dots` with columns `col1`, `col2`, `col3`. Here are the steps
 to rename the columns to `x`, `y` and `z` respectively:
@@ -28,17 +30,17 @@ ALTER TABLE dots
 RENAME COLUMN col3 TO z;
 ```
 
-- Click <img src="./img/run.svg"/> to run the script
+- Click ![](./img/run.svg) to run the script
 
 
-# Rename table
+## Rename table
 
 ```sql
 ALTER TABLE current_table_name
 RENAME TO new_table_name;
 ```
 
-## Table rename example
+### Table rename example
 
 There is a table `dots`. Here are the steps to rename it to `point`:
 
@@ -49,4 +51,4 @@ There is a table `dots`. Here are the steps to rename it to `point`:
 ALTER TABLE dots RENAME TO point
 ```
 
-- Click <img src="./img/run.svg"/> to run the script
+- Click ![](./img/run.svg) to run the script

Installation.md

@@ -1,3 +1,5 @@
+# Installation
+
 The latest release of sqliteviz is running on [Github pages][1].
 
 Basically, you don't need to install sqliteviz. But if you want you can install

Integrate-predefined-inquiries.md

@@ -1,3 +1,5 @@
+# Integrate predefined inquiries
+
 If you run sqliteviz on your own server you can specify predefined inquiries.
 These inquiries will appear in `Inquiries` list for all users working with
 sqliteviz on your server.

Manage-inquiries.md

@@ -1,19 +1,18 @@
-# Organise
+# Manage inquiries
+
+## Organise
 
 You can find all inquiries that you saved in `Inquiries` (fig. 1).
 
-<p align="center"> <img class="figure" src="./img/Screenshot_my_inquiries.png"
-width="700"/> </p>
-
-<p align="center"> <sub> Fig. 1: Inquiries </sub> </p>
+![Fig. 1: Inquiries](./img/Screenshot_my_inquiries.png)
 
 To manipulate one inquiry hover the cursor over the row with the inquiry and
 choose the action:
 
-* <img src="./img/rename.svg"/> – rename an inquiry
-* <img src="./img/copy.svg"/> – duplicate an inquiry
-* <img src="./img/file-export.svg"/> – export an inquiry to JSON file
-* <img src="./img/delete.svg"/> – delete an inquiry
+* ![](./img/rename.svg) – rename an inquiry
+* ![](./img/copy.svg) – duplicate an inquiry
+* ![](./img/file-export.svg) – export an inquiry to JSON file
+* ![](./img/delete.svg) – delete an inquiry
 
 To edit a query or visualisation settings of an inquiry click on the respective
 row. You will be redirected to `Workspace` where the chosen inquiry will be
@@ -27,19 +26,14 @@ You can also delete or export a group of inquiries to a JSON file. Select
 inquiries with checkboxes and press `Delete`/`Export` button above the grid
 (fig. 2).
 
-<p align="center"> <img class="figure" src="./img/Screenshot_group.png?0.15.0"
-width="600"/>  </p>
-
-
-<p align="center"> <sub> Fig. 2: Inquiries: a group of inquiries is selected
-</sub> </p>
+![Fig. 2: Inquiries: a group of inquiries is selected](./img/Screenshot_group.png)
 
 > **Note:** Some operations are not available for predefined inquiries. Read
 > [Predefined inquiries][1] for details.
 
-# Import
+## Import
 
 Click `Import` button on `Inquiries` page to import inquiries from a JSON file
 generated by export.
 
-[1]: Predefined-inquiries
+[1]: ../Predefined-inquiries

Multiple-CSV-file-import.md

@@ -1,10 +1,12 @@
+# Multiple CSV file import
+
 Sometimes it's useful to import several CSV files as tables in one database. For
 example, to be able to `JOIN` them in SQL.
 
 In sqliteviz you can not only create a database from a CSV file, but also add
 another table from CSV to the existing database.
 
-- Click <img src="./img/add-csv.svg"/> icon in the schema panel on `Workspace`
+- Click ![](./img/add-csv.svg) icon in the schema panel on `Workspace`
   page
 - Choose a CSV file
 - Import it with `CSV import` dialog.

Pivot-table.md

@@ -1,9 +1,10 @@
-# Pivot table UI
+# Pivot table
+
+## Pivot table UI
 
 Sqliteviz allows building pivot tables and visualizing them. To build a pivot
-run a query to get data. Then open visualisation panel by clicking <img
-src="./img/visualisation.svg"/> in any of the two side toolbars and choose a
-pivot mode by clicking <img src="./img/pivot.svg"/>.
+run a query to get data. Then open visualisation panel by clicking ![](./img/visualisation.svg)
+in any of the two side toolbars and choose a pivot mode by clicking ![](./img/pivot.svg).
 
 A pivot visualisation has the following settings:
 
@@ -18,54 +19,24 @@ A pivot visualisation has the following settings:
 - View – pivot table visualisation. It can be a table, a heatmap, a chart,
   etc. See some examples of different views of the same pivot table below.
 
-<p align="center">
-   <img class="figure" src="./img/Screenshot_pivot_table.png" width="900"/>
-</p>
-<p align="center">
-  <sub>
-    Fig. 1: Table
-  </sub>
-</p>
+![Fig. 1: Table](./img/Screenshot_pivot_table.png)
 
-<p align="center">
-   <img class="figure" src="./img/Screenshot_pivot_heatmap.png" width="900"/>
-</p>
-<p align="center">
-  <sub>
-    Fig. 2: Heatmap
-  </sub>
-</p>
+![Fig. 2: Heatmap](./img/Screenshot_pivot_heatmap.png)
 
-<p align="center">
-   <img class="figure" src="./img/Screenshot_pivot_barchart.png" width="900"/>
-</p>
-<p align="center">
-  <sub>
-    Fig. 3: Horizontal Stacked Bar Chart
-  </sub>
-</p>
+![Fig. 3: Horizontal Stacked Bar Chart](./img/Screenshot_pivot_barchart.png)
 
 There are several built-in chart views for a pivot. But you can build your own
 with `Custom chart` view (fig. 4).
 
-<p align="center">
-   <img class="figure" src="./img/Screenshot_pivot_custom chart.png"
-    width="900"/>
-</p>
-<p align="center">
-  <sub>
-    Fig. 4: Custom Chart
-  </sub>
-</p>
+![Fig. 4: Custom Chart](./img/Screenshot_pivot_custom chart.png)
 
 > **Note:**  You can switch to other pivot views and back to `Custom chart` –
 > all your custom chart settings will be remembered. But if you switch the
 > visualisation mode from pivot to any other mode, unsaved changes will be lost.
 
-You can save any visualisation as an image by clicking <img
-src="./img/camera.svg"/>.
+You can save any visualisation as an image by clicking ![](./img/camera.svg).
 
-# Pivot table SQL
+## Pivot table SQL
 
 Pivot table (in the form of a result set) can be built on the SQL-level and,
 technically speaking, can be visualised as any other result set. Practically

Predefined-inquiries.md

@@ -1,3 +1,5 @@
+# Predefined inquiries
+
 Predefined inquiries come out of the box on the sqliteviz instance. In sqliteviz
 deployed on [Github Pages][1] there are no predefined inquiries, but you may
 see them if you use sqliteviz integrated into another app.
@@ -5,15 +7,7 @@ see them if you use sqliteviz integrated into another app.
 These inquiries are shown in `Inqueries` list with a special label on the mouse
 over (fig. 1).
 
-<p align="center">
-   <img class="figure" src="./img/Screenshot_predefined.png?0.15.0"
-    width="700"/>
-</p>
-<p align="center">
-  <sub>
-    Fig. 1: Predefined inquiry
-  </sub>
-</p>
+![Fig. 1: Predefined inquiry](./img/Screenshot_predefined.png)
 
 As a user, you can't rename or delete a predefined inquiry. You can't save
 changes in a predefined inquiry, but you can save them as a new inquiry. The