Of over 2 Billion Google Sheets users most struggle to create a line chart on the Sheets. While the rest stare at Google asking - how do I make a line chart in google sheets?
But if you haven’t found your answers yet, you’re at the right place.
In this article, we’ll help you discover the various types of line charts and their best use cases. Moving forward, you’ll also learn how to do a line chart on Google Sheets and uncover a powerful tool to create line charts 5x faster and easier than Sheets.
But before you get into the guide, here’s a TLDR if you’re short on time:
A line chart is a graphical representation showcasing changes in asset value over a specific time frame.
Simply put, this chart uses a series of dots connected via a singular line. Once these dots are connected, they become perfect for illustrating variations and determining trends of a series of data.
We emphasize the term 'Individual' here because these charts are typically used for comparative analysis. For example, to identify change in sales or profit margins each month, quarter, or year.
Here’s how a line chart in Google Sheet look like:
Besides, line charts help resolve a crucial debate between you and your stakeholders regarding differences.
It may occur that the difference in sales numbers are minimal enough to go unnoticed through the naked eye. Here’s when Line Charts play a significant role.
These charts help you showcase even the tiniest variations happening in your daily or monthly sales numbers. That too in an easy-to-understand format.
What’s more, Gsheets help you compare large datasets using a variety of line charts.
Let's see the different line charts available and how to use chart in google sheets.
You can find three types of Line Graphs in Sheets: Regular Line Chart, Smooth Line Chart, and Combine Line Chart.
A regular line chart is the most basic of all line charts. It displays information as a series of dots and then connects them with a single line to help notice trends without stressing the eyes.
These charts are a popular choice among data analysts to visualize the comparison between two or more datasets of similar categories.
Some of its best use cases include:
These charts are similar to regular line charts; it's just they don't exhibit pin-pointed curves. Instead, they use curvy lines to connect dots allowing free movement of your eyeballs while analyzing the graph.
This, however, has called for a boycott of the chart.
Most marketers feel it's unconventional to use curved lines to visualize data.
At some level, they're right – curved lines have a larger diameter on the pivots causing misinterpretation of accurate data values.
But there are some typical use cases where smooth line charts can be of use.
A smooth Line Chart is suitable for representing long-term data.
Like below, we've presented a 12-months product sales report via Smooth Line Chart. A regular line chart here won’t be as soothing to the eyes as a smooth line chart is.
You can also use it for comparing financial trends or showing changes in the price of two similar stocks over the year.
Industry Advice: Avoid using smooth line charts for visualizing smaller datasets as it causes more confusion than providing insights.
Combo line charts use a combination of two charts, line charts and bar charts, to display two or more different datasets under one roof. The line is used like a trend line that shows if the overall graph is increasing or decreasing.
In the above image, we presented three datasets using a combo chart: Sales from product A, Sales from product B, and the total number of products sold every month.
Combo line charts are of best use when you want to display your research and set of data in a single chart. For example, traders and stock analysts use combo line charts to compare the historical and present performance of stocks.
💭Food for Thought: How easy is it to view monthly sales from products and the total number of products sold under the same graph instead of juggling through two different chart types on two separate sheets?
But the question which remains unan11swered is, "how do you make a line chart in Google sheets?” 🤔
Pro Tip: You can even have multiple lines in the line chart and get a comparison graph such as the image below.
In the next section, we've curated an easy-to-follow step-by-step guide to help you create line charts in minutes.
Ask yourself - What numbers do you want to visualize through the line chart? Is it monthly or quarterly, or annually?
You need to feed data into the system to present it. And sometimes, a lot of it. 🤯
So, if you've got an existing dataset saved in your system, you can easily import it to Sheets and escape from the double work.
Here's how you can do it.
Note: The steps are from after opening Sheets on your system.
Click on File > Import, and select the file consisting of the dataset.
Or if you've a smaller dataset, you can manually enter it too. It won't take much longer.
In fact, we manually entered a dummy dataset of our monthly sales database for Q1 and Q2 of 2022👇🏻
In this, each column represents different values of the same category - Product.
Moving forward, we'll use this dataset to learn how to create line charts in Google sheets.
Visualizing every data column you have in your sheet isn't necessary.
So if the dataset has extra columns that you don't want to visualize at this time, then this step is for you.
From our dataset, we wanted to visualize columns A, B, and C for the moment. So we selected just that part.
After selecting the columns, click on the Insert option in the top menu bar, then click on the Chart option in the drop-down menu.
Gsheets will present the data in a default chart type (this is what Google thinks is the best way to visualize the available data).
For our dataset, Sheets automatically visualized our data using a bar chart.
However, we'll anyway convert it to a line chart, because this guide is all about that!
To do so, double-click on your chart to open Chart Editor on the right sidebar.
From here, click on the Chart Type drop-down to open doors to various data visualization elements provided by Sheets.
Luckily, Line Charts are the first type of charts visible on the list. There are three options in the "line charts'' section that you can choose from:
We've described the use cases of each of these sets above, so choose accordingly.
Once you've made a choice, click on the chart icon, and your chosen line chart will replace your default chart in real-time.
Before you google how to set up a line chart in Google Sheets, hop into the next section.
You can set up the chart from the same section you changed the chart type in the previous step.
Below the chart type option, you can choose to change the data range, x-axis (horizontal axis) and y-axis (vertical axis) title, series, or switch rows and columns.
And that’s not just it, you can even change the font size and style of the axis titles. To customize your line charts, click on Customize in the chart editor.
In the customize tab, you can find options to customize background colors, style, labels, and colors.
Once you're done with customizations (if any), your line chart is ready to be presented.
So, now that you have a better understanding of how to create a line chart in Google Sheets. It's time to share our creativity with teams and stakeholders.
Instead of keeping the line chart you make to yourself, share it with your team, investors, and execs. To begin with, click on File in the top menu bar, you'll see three ways to share your chart:
Unlike most chart creation software or tools, Sheets offer next to no integration options.
You see, there are at most two ways to import data:
This also means there's a high chance that the data you use for creating charts is outdated. And there's no quick solution to visualize real-time data until and unless you enter and update it manually every time.
Sounds like you need to hire someone to do this regularly! 😥
Another drawback of Sheets is its inability to process big datasets.
Yes, despite being among Google's core services, the application needs to catch up in processing complex and lengthy data.
Sheets provide over 10,000,000 cells to collect and organize data. However, long before you hit rock bottom, you'll encounter lags and glitches in your worksheet. 🐌
Some users even cite frequent unresponsive pages when dealing with large datasets in Sheets. And this becomes problematic for large companies that generally deal with terabytes of user data.
When such companies use Gsheets, they are constantly under threat of data security and integrity.
Using the software to create charts on your mobile is a big NO. And here's why:
Even though Gsheets offer a dedicated mobile app for mobile users, it hasn't worked smartly to optimize the app for small-screen devices.
Or we could say it has no such feature to be counted as well-optimized for mobile users.
You might end up in one or the other situation listed below:
Compared to Datapad (our tool), Google Sheets offers a limited range of data visualization elements.
Although Sheets provide a pre-built set of charts, tables, graphs, and widgets to visualize data, these elements are limited in numbers and are not aesthetically pleasing to the eyes.
Of course, you can edit and customize the charts, but then again, options are scarce, and ultimately the result won't make you go WOW.
So, what's a better way to create charts?
Looks like we got an answer for you. 🤩👇🏻
Datapad is the industry's leading chart-creation tool that allows you to create stunning charts at your fingertips.
Using our app, you can collect, monitor, and visualize data from your hand-held device.
Here's how to do it:
To get started, download the Datapad app (available for Android and iOS devices) on your device.
Once you're into the app, you'll be prompted to register or sign up with your email address.
Note: Ensure to provide a valid email address, as we'll use it later to convey information or send email alerts.
As the next step, you'll need to create a personal workspace on Datapad. We have added this step to personalize your experience on Datapad.
So, take your time and enter a catchy name for your workspace in the title slab of the box.
Once done, press Create Workspace and you're good to go!
Now it's time for the fun part - creating dashboards in Datapad.
Click on the (+) sign in the top right side to get started.
Next, you need to enter a title, a short description, and an emoji for your dashboard. Here's a tutorial 👇🏻
These are the most fundamental elements to building a dashboard as it helps new users understand what the dashboard is about and what they can expect from it.
Have you ever bribed a child with chocolate in exchange for work? 🤨
We all have once done so. 😛
Likewise, you need to bribe data (not money) to Datapad in exchange for stunning charts.
But it won't cost you anything, not even your time. ⌚
Our tool allows you to import data both ways: Automatically and Manually.
To automatically import data:
Then press Add, and your data is automatically imported into your chart.
Here's the process in action
On the contrary, if you want to enter a smaller dataset manually
And you're done. Need help with the process?
No worries, we always have a demo for you. 😁
Datapad offers complete flexibility to customize every section of your chart. In fact, use our intuitive drag-and-drop customizer to change the look and feel of your chart within minutes.
Furthermore, you can change the chart type, chart style, labels, headers, and colors as per your brand needs.
So that’s how you can easily create a chart in Datapad. But this isn’t all, Datapad offers a set of key features to support you in the journey.
Unlike Sheets, our mobile app is tried and tested for lightning-fast performance on all small-screen devices.
What's more, we tested Datapad's compatibility on mobile, and here are some cherishable results:
✅ No buffer in chart display
✅ Non-blurry charts, even when visualizing hefty datasets
✅ No downtime or lags when importing data to the dashboard
We've integrated Datapad with popular platforms and data points like:
And many more….
This allows you to quickly import data lying anywhere around these platforms with a single click.
Collaborating with teams on Gsheets was a pain no less than having migraines.
Anyways, Datapad offers an in-built chat feature that makes team collaborations much easier, smoother, and quicker.
You can simply comment under a chart or metric to strike a discussion. This is how it works:
👇🏻 You saw something off on your line chart
👇🏻 You commented your views right below it
👇🏻 Your team gets real-time alerts or push notifications of your comment
👇🏻 They reply under your comment (and then the conversion can go on)
Simply put, it works similarly to Twitter threads.
Moreover, you can enable role-based management to control who can view/access/edit charts while you're away from the desk.
Datapad sounds interesting, right? Want to give our app a try?
Scan the QR code below, sign in to the platform, and get started.