Numeracy and Data Analysis

Numeracy and Data
Analysis

Contents
Contents...........................................................................................................................................2
INTRODUCTION...........................................................................................................................3
TASK...............................................................................................................................................3
Arranged data in table format:.....................................................................................................3
Presentation of selected data using different charts:....................................................................3
Calculation and discussion on following aspects:.......................................................................4
Linear forecasting model which is y = mx + c in order to do below mentioned calculations:....6
CONCLUSION................................................................................................................................7
REFERENCES................................................................................................................................8

INTRODUCTION
Data Analysis is characterized as a systematic use of quantitative and conceptual
approaches to define the dataset spectrum, centrally manage the data architecture, simplify data
representations, explain by illustrations, columns and diagrams, and determine mathematical
tendencies, probability statistics, in order to draw concrete conclusions (Huang, Shen and Liu,
2019). The study consists of various aspects of data analysis and forecasting results by applying
various statistical methods such as median, mode, mean, standard deviation as well as linear
forecasting model. For the purpose of study ten latest examples of particular bill-payments are
selected.
TASK
Arranged data in table format:
Date Expense bills Amount (in ‘00 GBP)
01-Apr Fuel Expenses 16
03-Apr Electricity bill 25
04-Apr Internet bill 12
07-Apr Grocery bill 30
08-Apr Parking Charges 9
11-Apr Rent 32
15-Apr Food Expenses 7
18-Apr Vehicle Maintenance 12
20-Apr Fuel Expenses 14
22-Apr Water Bill 15
Presentation of selected data using different charts:
Line Chart: line chart, often recognized as line diagram, is a form of chart employed to visualize
data value over time. The line chart contains vertical (y-axis) as well as horizontal (x-axis).
Mostly line charts cope with only (+ve) positive numeral values, thus such axes generally
overlap near bottom of y-axis and x-axis left ending (Friese, 2019).