INFM 600

These are 3 datasets created for the INFM 600 course Information Organization assignment.

Version

Version 1.0 (October 2015)

Datasets:

I have primarily used 3 datasets in this assignment.

1. Historic_Sites_View.csv

The Historic_Sites_View data is my focal dataset. The reason for me choosing this dataset as opposed to a dataset that is directly related to our project is, the size of the data. The number of records in this particular dataset are sufficient enough to create an effective analysis. This dataset gives us information about the Historic sites in the Howard county. Variables like name of the building, address, location, geometric coordinates allow the user to ask the following questions of the dataset,
1. Which areas in HoCo are dominated by historic sites?
2. What is the location wise distribution of historic sites in HoCo?
Reference : Creative Commons Attribution 4.0 International License.Historic_Sites_View.csv[Data file]Retrieved from https://data.howardcountymd.gov/

2. Historic_Districts.csv

Historic districts dataset gives the user an idea about the districts where the historic site locations are placed. This is a relatively small dataset as it contains only 2 districts. The questions that it can help answer could be,
1. Which areas predominantly have a historic district?
Reference : Creative Commons Attribution 4.0 International License.Historic_Districts.csv[Data file]Retrieved from https://data.howardcountymd.gov/

3. Historic_Mile_Markers.csv

Historic mile markers dataset gives the user an idea about the location of the mile markers using factors like road names, historic routes, mile number at which the mile marker occurs. The kind of questions this dataset would allow user to answer are,
1. Density of mile markers in a particular area?
Reference : Creative Commons Attribution 4.0 International License.Historic_Mile_Markers.csv[Data file]Retrieved from https://data.howardcountymd.gov/

Analysis after combination of datasets

If we were to combine Historic_Mile_Makers.csv and Historic_Districts.csv files then, based on the resulting dataset, we could answer the following question,
1. What is the distribution of the mile makers across different districts?
Such a question can be best answered using a geo-spatial data visualization which could be attained using Tableau.
Reference : Anuj Nimkar.merged_data_miles_districts.csv[Data file]Retrieved from https://data.howardcountymd.gov/

If we were to combine the Historic_Districts.csv and Historic_Sites_View.csv then, based on the resulting dataset, we could answer the following question,
1. What is the distribution of the historic sites across different districts?
Such a question can also be answered using a geo-spatial visualization which could be attained using Tableau.
Reference : Anuj Nimkar.merged_data_sites_districts.csv[Data file]Retrieved from https://data.howardcountymd.gov/

License

The data in this repository is distributed under the Creative Commons Attribution - NonCommercial - ShareAlike 4.0 International License (http://creativecommons.org/licenses/by-nc-sa/4.0/).

The data contained in the INFM-600.7z was distributed with the permission of Howard County, Maryland.

The data is made available for non-commercial use. Those interested in using the data in a commercial context should contact Howard County, Maryland : https://data.howardcountymd.gov/