Numeracy and Data Analysis - Desklib

Numeracy and Data Analysis

Table of Contents
INTRODUCTION...........................................................................................................................3
1. Arrangement of Humidity dataset of Belfast city of UK.........................................................3
2. Presentation of humidity dataset using Bar chart and scattered plot.......................................3
3. Calculation and comment on mean, mode, median and standard deviation of the dataset.....4
4. Calculation and comment on linear forecasting of the dataset................................................7
CONCLUSION................................................................................................................................9
REFERENCES................................................................................................................................1

INTRODUCTION
Data analysis is referred as the process of cleansing, modelling, inspecting and
transforming information for evaluating better results and understanding the real output of the
data (Campbell and et.al., 2020). This report covers linear forecasting and descriptive statistics
with their interpretation for understanding the data sets appropriately. Also, it computes the 11th
and 12th day of the humidity value with the help of linear forecasting model.
1. Arrangement of Humidity dataset of Belfast city of UK
Serial No. Date Humidity (%)
1 21st September 2022 68
2 22nd September 2022 83
3 23rd September 2022 94
4 24th September 2022 82
5 25th September 2022 82
6 26th September 2022 72
7 27th September 2022 88
8 28th September 2022 88
9 29th September 2022 77
10 30th September 2022 94
2. Presentation of humidity dataset using Bar chart and scattered plot
Bar Chart:

Scattered Plot:
3. Calculation and comment on mean, mode, median and standard deviation of the dataset
Descriptive statistics is referred as generation of summaries of a data set which is helpful
for the analyst to describe different features the available data. The steps of descriptive statistics
are as follows: