HOW DO I OPEN A JSON FILE DOWNLOAD IN CSV
HOW DO I OPEN A JSON FILE CODE IS TRICKY

JSON (JavaScript Object Notation) can be used by all high level programming languages. What is JSON JSON is a data exchange format used all over the internet. In this article we will explain how to read a JSON file from the disk and use it in python. In python read json file is very easy. Thank you Open Data!Reading JSON from a file. A quick web search turned up a lovely dataset on the New York State Open Data Portal posted by the Department of Agriculture and Markets.

How Do I Open A Json File Download In CSV

For one, if you look closely at the data you will see that the location field is not a traditional set of columns and when you download in CSV youвЂ™ll find some of that data missing. With this particular data, though, youвЂ™ll find that there are two reasons why CSV is not the best option. The interface looks like this:If youвЂ™re using R or other data analysis software, often the most convenient format to work with is comma separated values.

How Do I Open A Json File Code Is Tricky

So we need to project before we can add food markets (again, see the previous post, I know this code is tricky): fmDataDF<-fmDataDFFmDataDF]<-as.numeric(fmDataDF])Write.csv(fmDataDF,'X:/administrative/social_media/blogposts/json_from_R/foodmarkets.csv', row.names=FALSE)Coordinates(fmDataDF)<-~longitude+latitudeProj4string(fmDataDF)<-CRS('+proj=longlat +datum=NAD83') #set the coordinate systemFmDataDF<-spTransform(fmDataDF, CRS(proj4string(state)))Geodata<-data.frame(coordinates(fmDataDF))Geom_polygon(data=state, aes(x=long, y=lat, group=group), fill='grey40',Labs(x='', y='', title='Food Markets NYS')+ #labelsTheme(axis.ticks.y = element_blank(),axis.text.y = element_blank(), # get rid of x ticks/textAxis.ticks.x = element_blank(),axis.text.x = element_blank(), # get rid of y ticks/textPlot.title = element_text(lineheight=.8, face='bold', vjust=1))+ # make title bold and add spaceGeom_point(aes(x=x, y=y), data=geodata, alpha=1, size=3, color='grey20')+# to get outlineGeom_point(aes(x=x, y=y), data=geodata, alpha=1, size=2, color='darkblue')+Coord_equal(ratio=1) # square plot to avoid the distortionThis data is better suited to an interactive map, so I manually added the data and created the map below: You can get the projection of the state boundaries with proj4string(state).