Table of ContentsMAIN BODY..................................................................................................................................11) Arrange the data in a table format...........................................................................................12) Present the data using any two types of charts........................................................................13) Calculate the following and provide the steps for the calculation and highlight the final......24. For the data, use the linear forecasting model which is y = mx + c to calculate followings:..5REFERENCES................................................................................................................................8
INTRODUCTIONNumeracy and data analysis are very important in this present generation as it showscapability for understanding numerical analysis. The present report is giving brief analysis ofhumidity of Berlin of past 10 days. The data will be analyzed in tabular format and reflected invisual presentation as column and line chart. In the same series, this will provide description oflevel of humidity with help of descriptive analysis such as mean, median, mode and standarddeviation in detail manner. It will represent about linear forecasting model was Y = mX + c withcalculation m, c along with forecast of day 15 and 23.MAIN BODY1) Arrange the data in a table format.For present report the data is been collected is forecasted humidity of Berlin of next 10 days.DaysHumidity (in %)14/05/1941%15/05/1943%16/05/1952%17/05/1943%18/05/1954%19/05/1947%20/05/1948%21/05/1946%22/05/1955%23/05/1951%2) Present the data using any two types of chartsColumn chart1
End of preview
Want to access all the pages? Upload your documents or become a member.
Related Documents
Data Analysis and Forecasting Assignment PDFlg...
|8
|950
|225
Research Project on Data Analysis and Forcastinglg...
|8
|968
|163
(PDF) Statistical data presentationlg...
|8
|1158
|104
Report On Numeracy and Data Analysislg...
|8
|1460
|289
Data Analysis and Forecasting of Humidity in Birminghamlg...