Analytics And Intelligent Systems

NUS ISS AIS Practice Group

Geospatial Analytics and Geovisualisation — November 28, 2016

Geospatial Analytics and Geovisualisation

  • The main idea of the presentation is to show the changes in Internet usage across countries of the world over the years.
  • The data has been collected from 1990 to 2014 and has been downloaded from the United nations database(
  • We have used Tableau 10.0 to visualize the data.
  • From the previous graph, we see that over the years, there is a very rapid increase in the mean value of the internet users.
  • Though, the total number of internet using countries increases rapidly till 2001 and then it gradually becomes constant. Thus the total count from 2001 is almost constant.
  • The count of the country through the trend for year 2015 comes to be 202. Also, the mean for the number of internet users, following the trend is 48.05.
  • From the previous graph, we see that the rate by which the number of internet using countries increases, decreases rapidly over the years( slowly becoming constant)
  • Though the number of users ( maximum number) increases over the years, the rate of increase decreases rapidly.
  • In the year 2014 , the rate of increase is around 6% ( for the countries) but, the maximum mean value of internet users is around 45.
  • The geovisualization shows the world map with respect to the time. We can see the mean value of internet users for the different years across the world. The dark green colours show more internet usage as compared to the light green ones.

Yan Wei-A0148604E

Wan Zhichen –A0148584R

Somnath Banerjee- A0148612H

Dashboard for National Climate Change Secretariat(NCCS) —

Dashboard for National Climate Change Secretariat(NCCS)


5 Questions:

  1. Are there any relationships between Gas emissions and Temperature?
  2. Comparing with Global temperature, is the surface temperature of Singapore fluctuating simultaneously?
  3. Does the reduction of CO2 have impact on GDP and government income?
  4. What kind of gas emitting mostly mostly in Singapore? And what is the trend of gas emission?
  5. Will your agency take any methods to reduce gas emission, like recommending citizens to purchase ” Green Vehicles” or reducing energy consumptions of GDP per unit?


Somnath Banerjee: A0148612H

Wan Zhichen:A0148584R

Yan Wei:A0148604E

Monetary Authority of Singapore Dashboard —

Monetary Authority of Singapore Dashboard

mas_dashboardThe MAS dashboard focuses mainly on the Singapore nominal effective exchange rate (S$NEER). The Singapore exchange rate policy focuses on trade weighted exchange- Firstly, the value of SGD has to be measured against something. Rather than using one single currency as a benchmark, the MAS uses a basket of currencies of the major trading partners. It is trade weighted such that the currencies of our larger trading partners’ bears more weight and make up a more integral part of the index. This is reviewed periodically and the weight may be changed as out trade pattern changes. This means the SGD is measured against a basket of currencies and not one single currency.

Secondly, unlike most countries which adopt either a float or fixed exchange rate regime, Singapore’s policy is a hybrid of both. The Singapore dollar (SGD) is allowed to float freely, and the MAS will monitor the strength of the currency based on the S$NEER.

MAS focus on three aspects of the band
a) The slope of the band
b) The width of the band
c) The level the band is centred

Within the band, the SGD is subjected to day to day fluctuations just like any other currency. Businesses from overseas can buy or sell SGD to pay local companies for goods required. Institutions can buy or sell the currency to hedge against future movements. Speculators and traders can trade it freely in the Forex market. This freedom is essential for an open economy like ours to flourish.

However, once the SGD is deemed to be trading beyond the band, MAS will step in to buy or sell SGD to maintain its trajectory within the S$NEER band. What MAS is doing is essentially modulating the strength of the SGD against the $SNEER. Hence when the SGD is trading above the upper band the SGD will be sold to bring it below the upper bad and when SGD is trading below the lower band it will be bought to ensure it becomes higher than the lower band.

The band prevents the currency from becoming too strong, making exports more expensive to foreign countries or too weak, which will lead to decreasing purchasing power in the domestic country.

Hence we also have the main trading partners, the trade weights of each partner. The weights are assumed and determine the impact of each of the partners on the SNEER.

We have also visualised the GDP rate, inflation rate and the foreign reserves data, all 3 of which are impacted by the monetary policy.