Lunch Locations using different mapping tools

Posted on

Google Fusion Table 

When using Mapme I found it very easy to edit my data and change around the look of the map but it became very tedious to impute each data separately. With the large data sets I will be using this mapping tool will not be the most usefully. I did find this tool to be very user friendly and helpful with the message board on the side to help you trouble shoot any problems you had. I would use this mapping tool for smaller data sets but overall I do not think this will be my first choice for mapping my girl scouts data.

BatchGeo was very useful for imputing large amount of data quickly. I also found this the easiest to embed on to this web site. I did find it hard to add other information to the data points. I did like that the data points would display all data presented but I wanted a way to filter out the information so it would only show what I wanted. This tool is a very user friendly tool and easy to learn which was helpful for this assignment.

Google fusion tables was the most advanced of all the tools I tried. It was not hard to figure out because of the example in class but I think I would have found it harder if we had not had that knowledge. I liked this tool a lot because it had so many options in changing how the data looked on the map. Also the fact that you can import your data straight form google docs was very easy and useful. I did have a lot of issues with embedding the map onto my post. I kept getting a video instead of my map and I am still trying to edit the embed link so it will show my map. I think that out of all the tools I would most likely use Google fusion tables because of the may options.

Female population of Connecticut towns ages 10-14

Posted on

This data chart will help me compare female population within Connecticut towns to the total enrollment in Girl scouts within these areas. I want to combine this data with the enrollment within Girls Scouts so they are able to see which towns are excelling in participation and which need more attention for potential participants. This data was collected from http://ctdata.org/.

Bio for Data Visualization

Posted on

My name is Stefania Ruibal and I am a freshman at Trinity College. I am thinking of majoring in psychology and education studies. I wanted to participate in this seminar to further my skills in analyzing data and creating interactive maps and graphs. I am excited to help the Girl Scouts create a way to understand better partnership potential within Connecticut. The Girl Scouts of Connecticut are connected to many different organizations within the state and want to be able to have an even greater outreach. Having an interactive website will help the Girl Scouts create more potential partners and help them find parts of Connecticut they are not already reaching.

Girl Scouts Partners