Spreadsheets Tutorial: Visualizing the price evolution
Skills:
Data Literacy90%
Want to learn more? Take the full course at https://learn.datacamp.com/courses/financial-analytics-in-spreadsheets at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work.
---
At this point, you have the minimum and maximum historical prices together with the dates at which they occurred. What is missing is a visualization of historical prices, to get an idea about the dynamics of the time series.
A useful tool that traders and financial analysts use to visualize and understand the past movements of stock prices is a line chart. A line chart represents a series of values as points, called "markers", connected by linear segments.
The result is a line plot showing the values of the historical prices during the period under analysis. The time is represented on the horizontal axis, in chronological order, from left to right. The price level is displayed on the vertical axis.
Building a line chart with spreadsheets is easy. First, you select the range of cells that you want to display. Next, you click on "Insert" and then on "Chart".
You should already see a line chart because the software will suggest to you the most appropriate graph for the data you selected. If not, in the "Chart editor", select "Line chart" under the section "Chart type", and you're done.
The "Chart editor" is like the palette for a painter. You can use it to improve your graph and make it more detailed, nicer, and more informative.
The "Chart editor" is composed of two sections. The first section is "Setup", where you can add series to your graph. For example, you can include historical prices of other stocks for comparison purposes. Or you can display the dates corresponding to each price on the horizontal axis.
The second section is "Customize" where you can modify the titles, the legend, and other graphical parameters.
Let's say that you want to improve this chart and make it more explanatory.
First, you decide to add the dates on th
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Playlist
Uploads from DataCamp · DataCamp · 0 of 60
← Previous
Next →
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
SQL Server Tutorial: Date manipulation
DataCamp
R Tutorial: Intermediate Interactive Data Visualization with plotly in R
DataCamp
R Tutorial: Adding aesthetics to represent a variable
DataCamp
R Tutorial: Moving Beyond Simple Interactivity
DataCamp
Python Tutorial: Why use ML for marketing? Strategies and use cases
DataCamp
Python Tutorial: Preparation for modeling
DataCamp
Python Tutorial: Machine Learning modeling steps
DataCamp
R Tutorial: The prior model
DataCamp
R Tutorial: Data & the likelihood
DataCamp
R Tutorial: The posterior model
DataCamp
R Tutorial: An Introduction to plotly
DataCamp
R Tutorial: Plotting a single variable
DataCamp
R Tutorial: Bivariate graphics
DataCamp
Python Tutorial: Customer Segmentation in Python
DataCamp
Python Tutorial: Time cohorts
DataCamp
Python Tutorial: Calculate cohort metrics
DataCamp
Python Tutorial: Cohort analysis visualization
DataCamp
R Tutorial: Building Dashboards with flexdashboard
DataCamp
R Tutorial: Anatomy of a flexdashboard
DataCamp
R Tutorial: Layout basics
DataCamp
R Tutorial: Advanced layouts
DataCamp
Python Tutorial: Time Series Analysis in Python
DataCamp
Python Tutorial: Correlation of Two Time Series
DataCamp
Python Tutorial: Simple Linear Regressions
DataCamp
Python Tutorial: Autocorrelation
DataCamp
R Tutorial: The gapminder dataset
DataCamp
R Tutorial: The filter verb
DataCamp
R Tutorial: The arrange verb
DataCamp
R Tutorial: The mutate verb
DataCamp
R Tutorial: What is cluster analysis?
DataCamp
R Tutorial: Distance between two observations
DataCamp
R Tutorial: The importance of scale
DataCamp
R Tutorial: Measuring distance for categorical data
DataCamp
Python Tutorial: Plotting multiple graphs
DataCamp
Python Tutorial: Customizing axes
DataCamp
Python Tutorial: Legends, annotations, & styles
DataCamp
Python Tutorial: Introduction to iterators
DataCamp
Python Tutorial: Playing with iterators
DataCamp
Python Tutorial: Using iterators to load large files into memory
DataCamp
SQL Tutorial: Introduction to Relational Databases in SQL
DataCamp
SQL Tutorial: Tables: At the core of every database
DataCamp
SQL Tutorial: Update your database as the structure changes
DataCamp
Python Tutorial: Classification-Tree Learning
DataCamp
Python Tutorial: Decision-Tree for Classification
DataCamp
Python Tutorial: Decision-Tree for Regression
DataCamp
Python Tutorial: Census Subject Tables
DataCamp
Python Tutorial: Census Geography
DataCamp
Python Tutorial: Using the Census API
DataCamp
R Tutorial: A/B Testing in R
DataCamp
R Tutorial: Baseline Conversion Rates
DataCamp
R Tutorial: Designing an Experiment - Power Analysis
DataCamp
R Tutorial: Introduction to qualitative data
DataCamp
R Tutorial: Understanding your qualitative variables
DataCamp
R Tutorial: Making Better Plots
DataCamp
SQL Tutorial: OLTP and OLAP
DataCamp
SQL Tutorial: Storing data
DataCamp
SQL Tutorial: Database design
DataCamp
Python Tutorial: Introduction to spaCy
DataCamp
Python Tutorial: Statistical Models
DataCamp
Python Tutorial: Rule-based Matching
DataCamp
More on: Data Literacy
View skill →Related AI Lessons
⚡
⚡
⚡
⚡
A Simple Guide to Building Phylogenetic Trees and Heatmaps in R
Medium · Python
The Over-Engineered Solution Was Never the Real Problem
Dev.to · ruth mhlanga
The Assumption That Cost Retailers Millions: Income Has Nothing To Do With Spending
Medium · Python
Global Airport Traffic
Medium · Data Science
🎓
Tutor Explanation
DeepCamp AI