Numeracy and Data Analysis Assignment

Added on - 11 Jan 2021

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Numeracy and DataAnalysis
ContentsContents...........................................................................................................................................2INTRODUCTION...........................................................................................................................3MAIN BODY..................................................................................................................................31) Table format............................................................................................................................32) Types of chart..........................................................................................................................33) Steps to calculate.....................................................................................................................44. Linear forecasting model.........................................................................................................6CONCLUSION................................................................................................................................7REFERENCES................................................................................................................................8
INTRODUCTIONData analysis is defined as the process of analysing, transforming, modelling of availableinformation in order to determine the suitable result are further helpful in making valuabledecision (Chatfield, 2016). In order to process, the functions of data mining there are number ofuseful techniques that benefits to determine the best result. In this report, mean, mode, median isdiscussed and liner-forecasting model is used to calculate the following values.MAIN BODYIn order to understand the usefulness of Data analysis techniques, weather data of Chesteris procured for last 10 days during the period of 2017-18 in June (Weather of Chester. 2018).1) Table formatDays (y)Temperature (x)01-06-201817°C02-06-201815°C03-06-201812 °C04-06-201815°C05-06-201813 °C06-06-20189°C07-06-201813°C08-06-201814°C09-06-201812°C10-06-201815°C2) Types of chartColumn chart:
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