With the data provided in places of interest, it is difficult to determine the pulse of the city as the data given is more of what makes up the backbone of the city. Many of the locations someone might visit when they come to Boston are included in the data set, but the specific activity … More Pulse of the City: Places of Interest
Sage Gibbons September 30th, 2020 When working with big data it is often useful to have a working idea of what it says as well as its odd or confusing features. From this intuition one can start to build hypotheses worthy of deeper analysis. The “Code and Property Violations” dataset from the Boston Area Research … More Getting to know a dataset: Code and Property Violations
As what we’ve done last week, we organized three subsets of Foursquare dataset and Google Place dataset, the categories and 2 tags of places, then we export the organized data into 2 excel file. This week, I’m going to analysis these 3 subsets, which is the frequency of each tag and categories. First, we reinput … More Places of Interest. Week 2
In my post last week, I looked at three individual building permits in different occupancy classes: 1-2 family, commercial, and multi-use. This week, I wanted to see if those investigate the distribution of building permits to find out what kinds of buildings are getting permits? What types of work was going on? And where is … More The Big Picture: Pulse of the City Measure by Building Permits
As described in the previous post, the data contains 13 variables as below: Part 1 First, to understand how the price has changed during the pandemic time, we need to have a brief understanding of the price distribution during this period. We can see that the median of rent of all posts is 1995 dollars, … More Pulse of the city: Craigslist Posts
I am working with the food inspections database, which has two files with records of every food inspection conducted by the city of Boston between 2010 and 2020, along with yelp data for eating establishments in Boston. For this week, I wanted to explore the Records file in a little more depth, beginning with the … More Discovering the pulse of Boston through temporal food inspection data.
Julia Vasta September 30, 2020 Introduction to the Yelp Food Inspection Dataset This week I will be digging into the food inspection dataset that incorporates information about restaurants scraped from Yelp. This dataset compiles violation counts per restaurant, rather than listing each individual inspection and its outcome for each restaurant. This makes it easier to … More Exploring and Visualizing Yelp and Food Inspection Trends in Boston
INTRODUCTION Following the assignment of the previous week “I would Tell a Data Story.. But it was lost in translation”, this week I am exploring more specifically the patterns that can be seen in the variables of Google Places of Interest Dataset. This analysis is following and further evolving my exploration of whether keywords can … More Noise Interfering with the Pulse of the City
A deeper look into the Property and Code Violations data set reveals some interesting patterns about the reporting of different violations. Certain violations were far more common than others, and many of the violations were only reported a handful of times. Given there are over 490,000 rows of data in this data set, looking into … More Pulse of the City: Property and Code Violations
This data exploration dives deeper into the Code and Property Violations 2010-2020 dataset regarding the City of Boston and uses analytical tools in R to better understand the violations that occured during the past decade. Whereas my analysis last week focused on conducting preliminary geospatial insights into only 5 cases in the dataset, this week … More Boston Property and Code Violations: Pulse of the City
Seeing Boston Neighborhoods through Administrative Data 