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Energy Consumption Singapore
Project Submitted by
Abhilasha Kumari |Ashok Eapen
Pranav Agarwal | Rohit Pattnaik
[National University of Singapore]
 Two Datasets
 Average Monthly Household Energy Consumption ( Energy = Electricity, Gas)
 Population
 Source:
 http://www.ema.gov.sg/singapore_energy_statistics.aspx
 https://data.gov.sg/search?q=ingapore+Residents+by+Planning+Area%2FSubzone%2C+Age+Group+an
d+Sex%2C
 Data Cleaning And Calculated Fields:
 Data was clean, few missing values and very odd values were manually added/corrected
 Added/Calculated Fields
 Country (as Singapore)
 % Change from Year on Year for Consumption Energy (Energy = Electricity, Gas)
 Average Monthly Energy Consumption Per Capita Population
 % Change Year on Year for above
Data Collection and Cleansing
Key Performance Indicators (KPI)
 Area wise Per Capita Electricity and gas consumption
 Overall Average Electricity and Gas consumption
 Area wise segregation of Average Electricity and Gas consumption
 Rate of Change in Energy consumption
 Range of Consumptions (Minimum, Average, Maximum)
 Top “N” Locations with highest consumption
Business Goal & KPIs
To Achieve a reduction in gas and electricity consumption in Singapore
By Monitoring Past Energy Consumption
Interesting Points to Ponder on
Our Dashboard would help the user answer the below questions:
 Do bigger Dwelling Types consume more energy ?
 Do high electricity consumers consume more gas too?
 Does a yearly change in consumption suggest the advent of
more energy efficient devices?
 What has been the trend in energy consumption over the past
few years?
 Which regions are among the highest consumers of Energy?
 What is the pattern in consumption across years, across
dwelling types?
 What is the impact of population on the level of energy
consumption?
Dashboard Snippets
Easy to read
Region based
consumption level
consumption for a
given year
User Selections:
1)Year
2)Energy Type
Energy Consumption by Dwelling types
The (selected) Energy
Consumption by Dwelling Type is
reflected by a line graph
The Dwelling
Type are
represented
by different
colors
The labels make it easier to
identify the trend in
consumption year after year
Ranking System & Stats
The User can select:
• Number, N, to view the Top “N” consumers
• Energy-Type
• Year
STATS On dashboard
Trends in Gas consumption
Rate of change of Gas
consumption
Overall Singapore
By Dwelling type
Granularity
• 11 Years Data
(Yearly)
Dwelling types:
• 1-2 Bedroom
• 3 Bedroom
• 4 Bedroom
• 5 Bedroom
Trends in Electricity consumption
Rate of change of
Electricity consumption
Overall Singapore
By Dwelling type
Granularity
• 11 Years Data
(Yearly)
Dwelling types:
• 1-2 Bedroom
• 3 Bedroom
• 4 Bedroom
• 5 Bedroom
Dashboard Layout
Smart Features in the Dashboard
 Graphs changed by selection of “Year” by user
 Selection of Energy- Type had 4 options
 Electricity
 Gas
 Electricity Per Capita Population
 Gas Per Capita Population
 All the Graphs reflect the chosen Energy-Type along with names reflecting the
chosen Energy-Type
 The graphs for 1)Consumption by Dwelling Type and 2)Year on Year Changes were
dynamic to reflect the data for the region selected on the Map
 The Top N Consumers change with the Energy-Type and the year selected
 The above, made Dashboard very dynamic and flexible to the choices by users
 The Highlight features adds further dynamism to see various graphs depending on
selected location, say within a Map or within the Rank chart
Thank You

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Tableau Dashboarding of Energy Consumption Singapore

  • 1. Energy Consumption Singapore Project Submitted by Abhilasha Kumari |Ashok Eapen Pranav Agarwal | Rohit Pattnaik [National University of Singapore]
  • 2.  Two Datasets  Average Monthly Household Energy Consumption ( Energy = Electricity, Gas)  Population  Source:  http://www.ema.gov.sg/singapore_energy_statistics.aspx  https://data.gov.sg/search?q=ingapore+Residents+by+Planning+Area%2FSubzone%2C+Age+Group+an d+Sex%2C  Data Cleaning And Calculated Fields:  Data was clean, few missing values and very odd values were manually added/corrected  Added/Calculated Fields  Country (as Singapore)  % Change from Year on Year for Consumption Energy (Energy = Electricity, Gas)  Average Monthly Energy Consumption Per Capita Population  % Change Year on Year for above Data Collection and Cleansing
  • 3. Key Performance Indicators (KPI)  Area wise Per Capita Electricity and gas consumption  Overall Average Electricity and Gas consumption  Area wise segregation of Average Electricity and Gas consumption  Rate of Change in Energy consumption  Range of Consumptions (Minimum, Average, Maximum)  Top “N” Locations with highest consumption Business Goal & KPIs To Achieve a reduction in gas and electricity consumption in Singapore By Monitoring Past Energy Consumption
  • 4. Interesting Points to Ponder on Our Dashboard would help the user answer the below questions:  Do bigger Dwelling Types consume more energy ?  Do high electricity consumers consume more gas too?  Does a yearly change in consumption suggest the advent of more energy efficient devices?  What has been the trend in energy consumption over the past few years?  Which regions are among the highest consumers of Energy?  What is the pattern in consumption across years, across dwelling types?  What is the impact of population on the level of energy consumption?
  • 5. Dashboard Snippets Easy to read Region based consumption level consumption for a given year User Selections: 1)Year 2)Energy Type
  • 6. Energy Consumption by Dwelling types The (selected) Energy Consumption by Dwelling Type is reflected by a line graph The Dwelling Type are represented by different colors The labels make it easier to identify the trend in consumption year after year
  • 7. Ranking System & Stats The User can select: • Number, N, to view the Top “N” consumers • Energy-Type • Year STATS On dashboard
  • 8. Trends in Gas consumption Rate of change of Gas consumption Overall Singapore By Dwelling type Granularity • 11 Years Data (Yearly) Dwelling types: • 1-2 Bedroom • 3 Bedroom • 4 Bedroom • 5 Bedroom
  • 9. Trends in Electricity consumption Rate of change of Electricity consumption Overall Singapore By Dwelling type Granularity • 11 Years Data (Yearly) Dwelling types: • 1-2 Bedroom • 3 Bedroom • 4 Bedroom • 5 Bedroom
  • 11. Smart Features in the Dashboard  Graphs changed by selection of “Year” by user  Selection of Energy- Type had 4 options  Electricity  Gas  Electricity Per Capita Population  Gas Per Capita Population  All the Graphs reflect the chosen Energy-Type along with names reflecting the chosen Energy-Type  The graphs for 1)Consumption by Dwelling Type and 2)Year on Year Changes were dynamic to reflect the data for the region selected on the Map  The Top N Consumers change with the Energy-Type and the year selected  The above, made Dashboard very dynamic and flexible to the choices by users  The Highlight features adds further dynamism to see various graphs depending on selected location, say within a Map or within the Rank chart