london borough profiles csv

To implements this, I need Geo-locations for our Boroughs thus I used a Wikipedia table [6] to obtain those. We should probably add a legend that shows the range of value for the user. Otherwise the map and text will look all blurry.

I use a Jupyter Notebook to house all the code (which I highly recommend so you can preview rendering), but you do you.Let’s get some data into our Notebook. Nobody wants that.And now, we have a publish-ready map waiting in our working directory!

On opening the spreadsheet a simple drop down box allows you to choose which borough profile you are interested in.

With that we can print each Ward along with the top 10 most common venues in it.I’m going to run k-means algorithm — one of the most common cluster algorithm in unsupervised learning, to cluster the wards into 5 clusters and analyze. West Putney has not returned any venue records.Now I perform one hot encoding on this data and group rows by Ward, and by taking the mean of the frequency of occurrence of each category.

The living costs are relatively lower; however, they also have their own drawbacks too.I believe that this analysis could be making better by breaking it into 2 parts. Choose indicators from the left hand side. As I’m based in London currently, I’ll be making a map of London by local ward (borough level). The London Datastore does a great job making lots of data public and accessible, and I found Click → download → Save as → Move to local directory of notebook.

London housing and rental prices are among the highest in the world and other living costs are not cheap either. Also they offer more green space which would delights the nature lovers.
Selecting this will display data for that borough, plus either Inner or Outer London, London and a national comparator (usually England where data is available). For a geographical and bar chart representation of the profile data, open this interactive report. London Borough Profiles These profiles help paint a general picture of an area by presenting a range of headline indicator data in both spreadsheet and map form to help show statistics covering demographic, economic, social and environmental datasets for each borough, alongside relevant comparator areas.

The London Borough of Harrow / ˈ h ær oʊ / is a London borough in north-west London, England, and forms part of Outer London.It borders four other London boroughs - Barnet to the east of ancient Watling Street (now the A5 road), Brent to the south-east, Ealing to the south and Hillingdon to the west - plus the Hertfordshire districts of Three Rivers and Hertsmere to the …

@drkrthnblk I have found the solution to your problem. Also, this knowledge will be welcomed by any property developer as it helps them on deciding best places to build their next housing scheme.Based on the definition of our problem, I’m going to use the following data sources to extract or generate the required information:The statistical data about London Boroughs was downloaded and cleaned ie. According to that analysis, the Top 5 Boroughs were:Since we found out that Wandsworth is the best Borough to live, we shifted our focus to Wandsworth and used Foursquare data to find out all the popular commercial venues located in each of the 20 Wandsworth Wards. This csv file has lots of columns that we can use as variables to visualise. If you have difficulty downloading the Excel file, try this Zip file.

Sheet1 lookup Chart-Map Profiles Data _999KeyStats_LineABCPaf_by_LA_code _HIDE72_83 _HIDE72_89 _HIDE84_95 _T4A _T4B _T5A _T5B _T5C aAt2a Bands_for_1_PI Bands_for_one_PI Boroughs COMMENTARY Council


Maps are usually nice to look at, but if you don’t provide context then it doesn’t mean much.Beautiful! Sources are provided in the spreadsheet. Council of the London Borough of Islington: Public Pension in United Kingdom, Europe. Notes about the indicator are provided in comment boxes attached to the indicator names.

To see the full set of data for all 33 local authorities in London plus the comparator areas in Excel, click the 'Data' worksheet. We found out that there are 2 types of stats.So we calculated a positive mean and a negative mean for each borough and then calculated the difference of these two.

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