exploring
data visualiztion
Through tools such as Excel, Tableau, and Arc GIS I have learned the power of data visualization and its ability to draw light to statistics in an easy and digestible manner.
​
I hope to utilize my growing knowledge in data visualization to draw attention to health and environmental disparities in the United States, in order to give voice to issues that have gone unheard and unseen.
Personal Favorites
data story through tableau
For a Final Project I created a data story in Tableau studying how the top 5 food producing counties in California are food insecure.
​
-
Used Tableau Prep in order to clean and filter data sourced from the USDA.
-
Created Sheets with individual visuals using coloring and design principles to make a cohesive design.
-
Created Interactive dashboaards connecting 3+ visuals to draw connections about low income and low access to race and poverty rates filtered by county.
-
Combined all of the dashboards in a story to create an interactive data story.
​
Map made in ARC GIS depicting different zoning areas.
Map depicting the different aspects of Swanton Ranch
A map depicting the different contour lines of Swanton Ranch
Map made in ARC GIS depicting different zoning areas.
ARC GIS Mapping
Through basic introduction of ARC GIS and utilization of some of Cal Poly's available data, these are some maps I've created.
​
-
Used data from Cal Poly data base
-
Utilized symbology with design knowledge to make an appealing and digestible
-
These projects allowed me to gain a taste of what the ARC GIS software is capable of
Pivot tables and pivots charts
This project using a data set of student preferences allowed for the making of different pivot tables comparing different categorial and numeric data points. ​
-
Pivot tables allow for specific factors to be compared within big data sets to draw connections between them
-
Filtering abilities in the charts allow for a more specific viewing of data
-
Pivot splicer tool allows for the quick viewing of specific and interactive data
-
Grouping through Pivot Analyze allows for grouping of repeat data easily without cleaning it.