format 2024 blog posts

1 files changed, 42 insertions, 47 deletions

diff --git a/content/blog/2024-01-27-tableau-dashboard.org b/content/blog/2024-01-27-tableau-dashboard.org
index 7e0e078..f1efc36 100644
--- a/content/blog/2024-01-27-tableau-dashboard.org
+++ b/content/blog/2024-01-27-tableau-dashboard.org
@@ -3,14 +3,12 @@
 #+description: 
 #+slug: tableau-dashboard
 
-In this project, I am going to show you how to use Tableau Public for
-free to create simple dashboards.
+In this project, I am going to show you how to use Tableau Public for free to
+create simple dashboards.
 
-I will be creating simple visuals from an Omaha crime data set and
-combining them to create the dashboard below. You can view this
-dashboard interactively online here:
-[[https://public.tableau.com/app/profile/c.c7042/viz/OmahaCrimeData2015-2023/OmahaCrimeData2015-2023#1][Omaha
-Crime Data (2015 - 2023)]].
+I will be creating simple visuals from an Omaha crime data set and combining
+them to create the dashboard below. You can view this dashboard interactively
+online here: [[https://public.tableau.com/app/profile/c.c7042/viz/OmahaCrimeData2015-2023/OmahaCrimeData2015-2023#1][Omaha Crime Data (2015 - 2023)]].
 
 #+caption: Tableau Dashboard
 [[https://img.cleberg.net/blog/20240127-tableau-dashboard/dashboard.png]]
@@ -18,18 +16,17 @@ Crime Data (2015 - 2023)]].
 * Gather the Data
 
 You can download incident data from the Omaha Police Department on their
-[[https://police.cityofomaha.org/crime-information/incident-data-download][Incident
-Data Download]] page. They currently have files for the years 2015
+[[https://police.cityofomaha.org/crime-information/incident-data-download][Incident Data Download]] page. They currently have files for the years 2015
 through 2023.
 
 Each file will be downloaded as a CSV file, approximately 3 MB - 8 MB.
 
 * Clean and Transform the Data
 
-I have used Python to combine the files into a single CSV file, as well
-as adding a custom =datetime= column. You could do this step in any
-software you prefer, but I prefer Python as its free, easy to use, and
-has a plethora of support resources online.
+I have used Python to combine the files into a single CSV file, as well as
+adding a custom =datetime= column. You could do this step in any software you
+prefer, but I prefer Python as its free, easy to use, and has a plethora of
+support resources online.
 
 Start by opening a terminal, navigating to your Downloads directory, and
 creating a python script.
@@ -76,38 +73,37 @@ Once pasted, save and close the file. You can execute the file like so:
 python3 data_processing.py
 #+end_src
 
-After this, you should have a combined data file that contains all
-incidents between 2015 and 2023. Mine was approximately 55 MB.
+After this, you should have a combined data file that contains all incidents
+between 2015 and 2023. Mine was approximately 55 MB.
 
 * Tableau Public
 
-[[https://public.tableau.com/][Tableau Public]] is a free-to-use web
-application that allows you to create visualizations by uploading data
-sources. Note that there's no way to keep the data and visualizations
-private, so don't upload anything private.
+[[https://public.tableau.com/][Tableau Public]] is a free-to-use web application that allows you to create
+visualizations by uploading data sources. Note that there's no way to keep the
+data and visualizations private, so don't upload anything private.
 
-After creating an account, you can click the =Create= > =Web Authoring=
-link to create your first visualization.
+After creating an account, you can click the =Create= > =Web Authoring= link to
+create your first visualization.
 
 ** Upload the Data
 
-Once you've opened your first project, Tableau will ask you to connect
-to your data. For this project, click the =Upload from computer= button
-and select the CSV file previously combined in the step above.
+Once you've opened your first project, Tableau will ask you to connect to your
+data. For this project, click the =Upload from computer= button and select the
+CSV file previously combined in the step above.
 
-Once connected, you can refresh the preview of the data with the
-=Refresh Data Source= button in the toolbar.
+Once connected, you can refresh the preview of the data with the =Refresh Data
+Source= button in the toolbar.
 
-If you need to edit any of the data types, column names, etc., you can
-do so now. Once complete, generate an extract so that you can start
-creating visualizations.
+If you need to edit any of the data types, column names, etc., you can do so
+now. Once complete, generate an extract so that you can start creating
+visualizations.
 
 ** Create Visualizations
 
 To start, create a worksheet in the toolbar at the bottom of the screen.
 
-Within this screen, select a column from the =Data= side bar on the left
-and drag it into the =Columns= or =Rows= area of the canvas.
+Within this screen, select a column from the =Data= side bar on the left and
+drag it into the =Columns= or =Rows= area of the canvas.
 
 See below for the map visualization. You can recreate this by adding the
 following fields:
@@ -119,30 +115,29 @@ following fields:
   - Datetime
 - =Filters=: Datetime
 
-You can repeat this process for each visualization you want to create.
-Explore your options by dragging data fields to different areas and by
-opening the field options to explore what operations can be performed on
-different data types (e.g., average, count, etc.).
+You can repeat this process for each visualization you want to create. Explore
+your options by dragging data fields to different areas and by opening the field
+options to explore what operations can be performed on different data types
+(e.g., average, count, etc.).
 
 ** Create Dashboard
 
-To create a dashboard, click the button on the toolbar at the bottom of
-the screen. Within the dashboard, drag each sheet from the left side bar
-onto the dashboard canvas.
+To create a dashboard, click the button on the toolbar at the bottom of the
+screen. Within the dashboard, drag each sheet from the left side bar onto the
+dashboard canvas.
 
 ** Formatting
 
-You can explore a ton of different formatting options throughout the
-worksheets and dashboard. Specifically for maps, you can alter the map
-layers, background, and visible features through the =Map= menu in the
-top file menu of the editing screen.
+You can explore a ton of different formatting options throughout the worksheets
+and dashboard. Specifically for maps, you can alter the map layers, background,
+and visible features through the =Map= menu in the top file menu of the editing
+screen.
 
-In the finished dashboard below, I opted for a dark mode with a map that
-showed county lines and city names.
+In the finished dashboard below, I opted for a dark mode with a map that showed
+county lines and city names.
 
-There's a ton of other options available to be used in a dashboard like
-this, but this project shows a quick preview of what you can do in
-Tableau Public.
+There's a ton of other options available to be used in a dashboard like this,
+but this project shows a quick preview of what you can do in Tableau Public.
 
 #+caption: Tableau Dashboard
 [[https://img.cleberg.net/blog/20240127-tableau-dashboard/dashboard.png]]