Data Analysis and Forecasting of Humidity in Birmingham

Project on data analysis and
forecasting

Table of Contents
INTRODUCTION...........................................................................................................................1
1) Humidity data of Birmingham in tabular format....................................................................1
.....................................................................................................................................................1
2) Chart types .............................................................................................................................2
3) Statistical calculation..............................................................................................................2
4) Linear forecasting...................................................................................................................5
a) Steps for calculating m value..................................................................................................5
b) Calculation of C Value..........................................................................................................5
c) Forecasting humidity data for 15th day ................................................................................5
d) Forecasting humidity data for 20day......................................................................................5

INTRODUCTION
Numeracy is considered as the important aspects for developing the a clear understanding
in present generation about the numerical analysis. The present report is having the brief
analysis of Humidity data of Birmingham which is being gather and analyses from various level
of authentic sources. The data of report is about having brief level of analysis in more of tabular
formats along with having major level of presentation in form of column & chart (Camarillo and
et.al., 2018). The report have the same level of consistency in series which is being having level
of providence of more level of authentic resources about description of Humidity data of
Birmingham with the help of major level of implementation of selective analysis. In this repost ,
there will be inclusion of mean, median, mode and standard deviation in detail manner. It will
represent about linear forecasting model was Y = mX + c with calculation m, c along with
forecast of day 15 and 20.
1) Humidity data of Birmingham in tabular format
Days in Jan humidity %
8-Jan 76
9-Jan 86
10-Jan 83
11-Jan 81
12-Jan 79
13-Jan 86
14-Jan 84
15-Jan 82
16-Jan 83
17-Jan 80
1