Visualizing data

Introduction to Data Visualization with Julia

Gustavo Vieira Suñe

Data Analyst

Why should I plot?

Identify trends and patterns

Three colored lines exhibiting a positive trend with comparable fluctuations.

Spot outliers

A box plot with a single box displaying data with outliers.

Why should I plot?

Convey uncertainty

A line plot with an error ribbon.

Explore relationships

Table versus graph

Tables work with a few data points

Date	Price (USD)
2020-01-02	178.35
2020-01-03	177.06
2020-01-06	178.19
2020-01-07	177.82
2020-01-08	179.29
...	...
2021-11-29	304.55
2021-11-30	299.88

Much data requires plotting

This line plot illustrates the relationship between the date and the price of a fund in USD, with a clear positive trend and a noticeable dip in March 2020.

Table versus graph

Fund Symbol	Price (USD)	Traded Volume (M)
IWF	178.35	1.68
IWF	177.06	2.04
SPY	324.87	59.2
SPY	322.41	77.7
QQQ	216.16	31.0
QQQ	214.18	27.5
VOO	298.42	3.14
VOO	296.24	3.25
...	...	...

Visualize categories

A scatter plot illustrating the relationship between traded volumes and prices of four funds, with each fund's data points forming distinct clusters.

A preview of our plotting journey

A scatter plot showing the positive correlation between two different funds, with a regression line added.

Plot showing average prices of tomatoes in India over months of the year. It shows that prices are higher from June to November.

A preview of our plotting journey

A box plot showing the distribution of ages for different effects on mental health.

A correlation matrix plot between age and BMI.

Understanding our dataset

fund_symbol	price_date	open	high	low	close	volume
IWF	2018-01-02	135.34	135.99	135.0	135.97	2446200
IWF	2018-01-03	136.16	137.23	136.13	137.13	2129500
IWF	2018-01-04	137.66	138.0	137.56	137.7	1766500
IWF	2018-01-05	138.28	139.03	138.11	138.95	1866100
IWF	2018-01-08	138.89	139.44	138.85	139.34	1812800

Let's practice!

Introduction to Data Visualization with Julia