Numeracy and Data Analysis

Numeracy and data analysis
Student name: Muraru Maria Lavinia
Student id: S221096

TABLE OF CONTENTS
INTRODUCTION......................................................................................................................3
MAIN BODY.............................................................................................................................3
1. Representing the data set in form of table..........................................................................3
2. Plotting the data on graph..................................................................................................3
3. Presenting descriptive statistics table.................................................................................4
4. Estimating the amount for 14th and 16th month by making use of linear forecasting
model......................................................................................................................................6
CONCLUSION..........................................................................................................................8
REFERENCES...........................................................................................................................9

INTRODUCTION
The data analysis is fundamentally the cycle through which the significant data
relating to the informational collections can be achieved. It fundamentally includes the use of
the measurable instruments to appropriately dissect the information and present the
information in numeric structure. This report portrays the information in regard to the
measure of cash which is being spend on transport for the 10 successive months. Along with
that, it features the application of the descriptive analysis for viably investigating the
information.
MAIN BODY
1. Representing the data set in form of table
Serial.
No. Date Amount of money spend on transport
(in pounds £)
1 28-Feb-20 20
2 31-Mar-20 15
3 30-Apr-20 35
4 31-May-20 55
5 30-Jun-20 61
6 31-Jul-20 34
7 31-Aug-20 24
8 30-Sep-20 24
9 31-Oct-20 24
10 30-Nov-20 35
2. Plotting the data on graph
Column chart