In this blog post, we will summarise the key challenges affecting the transparency of public procurement information in the UK, including data quality issues such as lack of unique identifiers, duplicated records, inconsistent dates, and missing data fields. We argue that improving data collection, quality, and availability in public procurement is important to support accountability, transparency and to inform policy reform. Finally, we will describe …
In this blog post it will be analysed a two-mode network of students’ enrolments into modules at the University. Firstly, it will be shown how to visualise this two-mode network. Secondly, it will be demonstrated how to transform this network into a one-mode network to explore the similarities of each mode. The latter will be made using three methods: Overlaps count, Jaccard Similarity and Simple …
By Maria Fernanda Ibarra Gutiérrez and Thu Trang Dinh In this blog post, we will describe the database about House Property Sales, which can be downloaded from: https://www.kaggle.com/htagholdings/property-sales?select=raw_sales.csv According to the first Figure, this database describes some characteristics of the property sales into 5 variables and 29,580 observations from the 7th of February 2007 to the 26 of July 2019. This database does not have …
By Maria Fernanda Ibarra Gutiérrez This blog looks at the ways in which scatter plots can be used to visualise multiple sets of data and the relationships between several variables. It takes a data set and deals with outliers, formatting the graphs for clarity, using bubbles to show a third variable, adding regression models and trend to the plots and splitting the data into separate …
In this Blogpost, I would like to introduce the Atlas of economic complexity. It is a powerful data visualisation tool developed by the Harvard growth lab. Even at first glance, there is an abundance of information presented in a compelling way on the homepage. If we take more time to dive into the data and tweak different settings, the website delivers even more knowledge and …
The first dataset we would like to discuss is the Atlas of Economic Complexity, derived from http://atlas.cid.harvard.edu/explore. After exploring and appreciating those pretty charts and graphs in the post of Part A, we are also interested in the meta datasets under those graphs. The data sources of global goods trade and service trade are United Nations Statistical Division and Direction of Trade Statistics database (IMF) …
Introduction According to Bank International Settlements (2019), the foreign exchange market (or forex market) is the largest and the most liquid financial market in the world with global daily trading of $6.6 trillion in April 2019. Among leading currencies, the British pound sterling (GBP) is ranked fourth in line as one of the most widely traded currencies in the world and the pound has a …
In this blog post, we will summarise the key challenges affecting the transparency of public procurement information in the UK, including data quality issues such as lack of unique identifiers, duplicated records, inconsistent dates, and missing data fields. We argue that improving data collection, quality, and availability in public procurement is important to support accountability, transparency and to inform policy reform. Finally, we will describe …
In this blog post it will be analysed a two-mode network of students’ enrolments into modules at the University. Firstly, it will be shown how to visualise this two-mode network. Secondly, it will be demonstrated how to transform this network into a one-mode network to explore the similarities of each mode. The latter will be made using three methods: Overlaps count, Jaccard Similarity and Simple …
By Maria Fernanda Ibarra Gutiérrez and Thu Trang Dinh In this blog post, we will describe the database about House Property Sales, which can be downloaded from: https://www.kaggle.com/htagholdings/property-sales?select=raw_sales.csv According to the first Figure, this database describes some characteristics of the property sales into 5 variables and 29,580 observations from the 7th of February 2007 to the 26 of July 2019. This database does not have …
By Maria Fernanda Ibarra Gutiérrez This blog looks at the ways in which scatter plots can be used to visualise multiple sets of data and the relationships between several variables. It takes a data set and deals with outliers, formatting the graphs for clarity, using bubbles to show a third variable, adding regression models and trend to the plots and splitting the data into separate …
In this Blogpost, I would like to introduce the Atlas of economic complexity. It is a powerful data visualisation tool developed by the Harvard growth lab. Even at first glance, there is an abundance of information presented in a compelling way on the homepage. If we take more time to dive into the data and tweak different settings, the website delivers even more knowledge and …
The first dataset we would like to discuss is the Atlas of Economic Complexity, derived from http://atlas.cid.harvard.edu/explore. After exploring and appreciating those pretty charts and graphs in the post of Part A, we are also interested in the meta datasets under those graphs. The data sources of global goods trade and service trade are United Nations Statistical Division and Direction of Trade Statistics database (IMF) …
Introduction According to Bank International Settlements (2019), the foreign exchange market (or forex market) is the largest and the most liquid financial market in the world with global daily trading of $6.6 trillion in April 2019. Among leading currencies, the British pound sterling (GBP) is ranked fourth in line as one of the most widely traded currencies in the world and the pound has a …
Data and Methods Exploration Group 