Data Analysis and Techniques

Data Analysis and
Techniques

Table of Contents
INTRODUCTION...........................................................................................................................1
1. Table of humidity data of 10 days...........................................................................................1
2. Two types of Chart..................................................................................................................1
3. Calculation of values of mean, mode, median and standard deviation...................................3
4 Using of Linear forecasting model...........................................................................................5
a) Steps for calculating “m” value..............................................................................................5
b) Steps for calculating “c” value................................................................................................6
c) Forecasting humidity by calculating “m” and “c” values for 15th and 20th day....................6
CONCLUSION................................................................................................................................6
REFERENCES................................................................................................................................8

INTRODUCTION
Numeracy as well as data analysis plays an important role as it shows knowledge and
ability of analysing numerical data in an efficient manner (Chambers, 2017). This present report
is going to analysis of humidity data of 10 consecutive days which is collected via online
sources. It will also show the importance of chart and mean, mode and median by which whole
data is analysed. It helps in analysing and forecasting humidity value on the 15th and 21nd days.
1. Table of humidity data of 10 days
Humidity data of ......10 consecutive days is being shown below:
Days (Jan 7th 2020 to 16th Jan 2020) Humidity (%)
7 69%
8 77%
9 81%
10 76%
11 90%
12 88%
13 69%
14 65%
15 69%
16 67%
2. Two types of Chart
Graphs 1: Bar chart
This is a bar chart of type which represents categorical data with rectangular bars having
lengths or heights proportional to values which they represent.
1