step-by-step instructions for viz in blog

README.md

@@ -1,2 +1,43 @@
-# visualize-data-fast
-Describe how to visualize data fast using the Data Refinery tool in Watson Studio
+# Visualize Data Fast | Watson Studio. 
+## Click [here](https://medium.com/@jorge_castanon/visualize-data-fast-watson-studio-ae1ec63e9b8f?source=friends_link&sk=c9fc9c85f364bdc221a93c1ae78c26db) for blog post. 
+
+
+
+## Step by step instructions to reproduce the visualizations:
+
+1. Download the 1,000-row sample data set from [here](https://ibm.box.com/s/6fltz5ilap8pbwzu2tt1yxil6ldosc9d). The file's name is `thermostat_rebates_by_zip_1000.csv`.
+
+1. Create an account on Watson Studio [cloud](https://www.ibm.com/cloud/watson-studio) or download the desktop version [here](https://www.ibm.com/products/watson-studio-desktop).
+
+1. Open Watson Studio.
+
+1. Click `New project` on the top right to create a new project on Watson Studio.
+
+1. Name your project and click `Create` on the bottom right.
+
+1. Click the `Assets` tab if you are not already there.
+
+1. Upload the `thermostat_rebates_by_zip_1000.csv`, on the right hand side of the screen drop or browse the file.
+
+1. In your project, under `Data assets`, click the data set to see a preview of the data set.
+
+1. Click the `Refine` blue box in the top right to open the data set with the Data Refinery tool.
+
+1. Once the Data Refinery tool is open, navigate to the `Visualizations` tab 
+
+1. Create the histogram:
+    1. Select the `Histogram chart` on the CHART TYPES.
+    1. Select the column "value" (thermostat rebates in USD) as the `X-axis`.
+    1. Un-select the `Show kde curve` and the `Show distribution curve` and choose `Bin width` to be 4.
+
+1. Create the map:
+    1. Select column "lng" as the Longitude field and column "lat" as the Latitude field.
+    1. Select column "value" (thermostat rebates in USD) as the Size map field.
+    1. Zoom-in to the interesting areas of the map.
+
+1. Create the scatterplot woth correlations: 
+    1. Select column "value".
+    1. Click `Add another column` and select column "median".
+    1. Click `Add another column` and select column "mean".
+    1. Click `Add another column` and select column "population".
+    1. Only strong correlation is between "median" and "mean" which is not surprising (the mean and median household income are similar statistics).