ArcGIS Insights Basics - Data Analysis and Visualization | Micah | Skillshare

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ArcGIS Insights Basics - Data Analysis and Visualization

teacher avatar Micah, Helping you learn to utilize software

Watch this class and thousands more

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Taught by industry leaders & working professionals
Topics include illustration, design, photography, and more

Watch this class and thousands more

Get unlimited access to every class
Taught by industry leaders & working professionals
Topics include illustration, design, photography, and more

Lessons in This Class

10 Lessons (32m)
    • 1. 01 Intro To ArcGIS Insights Course

    • 2. 02 Intro to Insights, what is insights

    • 3. 03 Sourcing and Vetting Data

    • 4. 04 Insights Layout and Workbook Example

    • 5. 05 Adding data and enabling location

    • 6. 06 Visualizing Data with Heatmap and Symbolog

    • 7. 07 Working with Charts and Making Pages

    • 8. 08 Chart Aesthetics and Functionality

    • 9. 09 Using the Action Button Explained

    • 10. 10 How to Share Workbook ArcGIS Insights

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About This Class

This course will teach your the basic fundamentals of working inside of ArcGIS Insights. ArcGIS Insights is a data visualization software that allows you to connect pieces of the puzzle and analyze your data to a deeper level.

In this course we will go over:

  • How to source and vet geospatial datasets
  • How to create a workbook in ArcGIS Insights
  • How to create charts, graphs, maps, and tables ArcGIS Insights
  • How to change the workbook style and aesthetics
  • How to sort and visualize data
  • How to create pages
  • How to share your finished workbook with your group
  • 1543ea4d

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1. 01 Intro To ArcGIS Insights Course: What's up? Everybody might get here on this course. We're gonna go over how to use our GIs insights, which is a tool to visualize geospatial data in a variety of different ways. So on this course, we're gonna go over the basics and some of the intermediate ways to use insights. And what we're gonna do is we're gonna create workbooks, maps, charts, graphs, visualizations of data that can show useful things to our customers ourselves. And we're eventually gonna break down how Teoh share that work out. So the first video we're gonna break into Walsum examples of work we're going to create and we'll move forward from there. So I'm happy to have you here for the course, and we'll see in the next video. 2. 02 Intro to Insights, what is insights: to just to give you guys a quick overview of what are Chis insights Is this company called Ezri? They have the software platform where you can take data sets for geospatial data were really kind of any data that you want depending on what you want to visualize it, you're gonna visualize that Jason Geospatial You're going to need some sort of location data, like an address or some coordinates or something like that. But you can take the software and you can create visuals in terms of charts in terms of spatial analysis and trends. And you can take a less stuff crunched down inside of insights and then deliver a product where somebody can actually go and interact with a application that can show them that data . So that could be business data. It could be government data. I could be a 1,000,000 different marketing, Dad. There's all sorts of different ways you could You could do that. So, uh, the steps we're gonna we're gonna go forward with this, we're gonna find some data we're gonna source that, we're gonna bring it in, and then we're going to look and see if we could find any value in our data set, which generally, you know, somebody customer otherwise gonna ask you for that. And then we're gonna display or work in a aesthetically pleasing way. And that's gonna be what we do in this course. So I'm gonna actually show you an example of the dashboard where you can do that. So I'm gonna crunch down. It's a little bit here. And so this right here this is a pollution in Canada and something you can do, Ugo, and click on certain industries like this one is coal mining. And this has a credibly high level of air pollution. And over here is copper war. And then we'll click on it. It's like a lower one. This iron and steel Mills doesn't have that much. Um, make charts and we're gonna visualize the data out there, and we'll show you how to make a dashboard like this so that somebody on end user can actually interact with your data and uses. So we're gonna go to get ahead and get started on that. We'll see in the next video 3. 03 Sourcing and Vetting Data: So when you get into sourcing data for this class, you're gonna it's gonna be very important for you to understand what type of data will work for this. So what I'm going to tell you to do is you can definitely use my example. Data which will try to put up somewhere for you or what I would highly encourage you to do is go search for your own data set and one place that you could do that is this place called data dot world. But they're very There's a lot of other places that you can g o and get data, but this is a good one. They have a lot of different sources of data sets you can go grab. So, uh, this right here, this is just I look for crops because I'm using a agriculture based data set to use it got crop production into Tajikistan. They've got crop vulnerability to get all sorts of different data sets. And these generally have some sort of location data tag to ah, the datasets. So let me actually show us right here. And this is actually just an excel spreadsheet. This is when you download this this data, you're probably gonna want either a CSB format where you're going to want a excel format, which then you can easily turn into a CSP. So, ah, when I download this data set, what I did was for testing purposes and for the, um, you know, the purpose of not using too much gas inside the, you know, the every portal for years and likes software as a service, right? You have credits for your companies account. What you're gonna want to do is just use a small data set to test out things. And when you actually get into visualizing big data sets us when you can really pull the trigger on this stuff. But we're looking through this. We can see we got, um, some locations, use your countries, and we have, uh, some crop types. And we have a couple different other ah date related data points in here, which means that we can do some like time filtering, and we can show, like when those crops were like planet and when they were harvested. So that's really good. But when we display things out on a map, we're gonna wanna look for our latte long so they could be our coordinates right here. And that is going This is gonna be a good data set to use, right? So once I've looked this data and I've said Okay, this is a good asset to use because it has no time. Locations has a coordinates in there. It's It's a pretty rich data set with a lot of columns that I can, you know, manipulate a bunch different ways. This is gonna be a good data set for us to start doing some some things inside are just insights to try and pull some war things out of it. Because when you're looking at it right here, it's just not very pleasing and actually kind of gets a little bit blurry if you just moving around. Right. So you're gonna need to make some sort of charts or some sort of visualizations inside of this to get it to work. So that's where we're gonna We're gonna go with insights, So yeah, definitely sign up, check getting an account on data dot world or just go and Google just geospatial data or special data. And look for, like, a dot gov source. Probably gonna be a good source for you and try to get that and shop out some of the rose. You're gonna want to just go down and then just select all the rows and this right click and hit delete and she remove those. If you don't have excel, you can use Google sheets, which is free. Just download the file uploaded into Google sheets were not going to show how to do that here. But that's the other tool. If you don't have excel and you should be good, so yeah, see in the next. 4. 04 Insights Layout and Workbook Example: All right. So when you log in tow insights for the first time, you're gonna have this page here. And what I have going right now is I just have just a page here. I've got some workbooks I've been working on and on the side here, you can see the models, the analytic models. Sure. Ah, workbooks have done. These are models and made. Here's the data. Sets a couple things in there, um, pages. He's gonna be things where you can go ahead and show off just different. Um, like, data sets on the front end. Right. And the themes. This is where you can actually make a theme at your running yourself. Kind of a custom thing. I don't really worry about that for the time being, but we're gonna do to start out as we're just gonna make a new workbook. I actually have one sitting right here, and I'm gonna pop that open, and I'm gonna actually show you an example of what we're gonna make right here. So this is eventually version of what we're gonna make sure you kind of had to get here the next couple of videos. We're gonna be there So, for the time being, just make a, ah, new workbook. And you got the crop data that I, um that you've gotten for me. Or if you got another data set as long as has coordinates, you can bring it in. It's long. It would be nice if they had lots of different columns. That's a different stuff. Like a rich data set. You really great. Uh, you know, preferably over. Like, you know, the United States or a couple of different countries would be awesome. Um, that would be pretty good, So yeah. Anyhow, on the next video, you will run into workbooks. 5. 05 Adding data and enabling location: So once you've gotten into your account and you've made a new workbook will have entitled workbook and will be ready to add some data. So actually have some data that I'm gonna bring over for you. Well, and I'm gonna drop it right in here. And this is gonna be our climate data and just gonna go this upload file area right here. Drop it in there, add. And there, you see, nothing has happened yet, so the first thing we're gonna do is we're gonna get ahead and be like, this is a crop. Crop analysis will just get that name right there. Save that We got our progress thus far, although not that much. And then, uh, at least we gotta saved right? And then we're gonna go and we're gonna click. The three dots are data. Sit here. We could see every all the columns right here. This shows, like what sort of data we can work with Should already looked at the Excel sheet To make sure that this is a good, rich data sheet. You're gonna want your Latin long. This is like Latin long average because specifying like I think the middle of a crops field . So, you know, you can't give the coordinates every single stock of corns. That's how they set up the data and are India's. We're gonna go ahead and enable location on this, so just click or $3 a hit enable location, and then we're gonna want to do coordinates because we have coordinates in our data set. If you didn't have coordinates and you just had address, you could run that, um, and jog feasible other things. So we're just gonna go through and make sure that we have our proper fields for accent and why set up and then we're going Teoh, make sure special references that what we want this one is fine. Don't really stress too much about this. Generally, this will give you accurate geographical representation pretty much regardless of what? The default. Once pretty good. We're gonna go ahead and run that I'm still what that, uh, load there and here in a minute. We should be able to take this data and drag and drop it into the middle area. We should be able to make one of three things we should be able to make a table chart or map. And I'm just gonna go ahead and show that with the map. We do, in fact, have, um, points on a map right there on before going ahead. And if I want to show, turn this into a chart, we could do that. Get show the examples. I want to show just a table. All right? This is just the crop counts, right? So this is automatically detecting Probably your most important, um, short. This charts not probably make a lot of sense. Well, actually, no, it does, but this just shows us a different samples of things you can do. KP I 77. All right, Some of these are not exactly 100% like what you're gonna want, right? See, you're gonna wanna try toe chickens out a little bit more. So we're gonna go with the map first, and then we will do a chart over here. All right? The good thing about these, you can move them around. You make the bigger or smaller so you can have a layout. Consult. Innately, this is what you're your layouts gonna be for your end customer or whoever is using an interacting with this dashboard. So you kind of wanna have things nice and spread out, and we're gonna say give ah name to this when you say card warmers. Uh, map of crops and card here is sure crops. Cool. So that's the basic getting started with this we've got We're hearing the sideways have a bar chart made right here on. We're just gonna roll on to some more features here. We're gonna show you how to customise thes things and do a little bit more with him. I just want to show you that starting point what you're gonna want to accomplish when you first get your workbook started. So see in the next video. 6. 06 Visualizing Data with Heatmap and Symbolog: All right, So now that we have our data specially displayed on this map and we have a chart here which once again, we just do by just dragging our data set in there to create one of those things and map a table or chart, we can go ahead and we can start doing some cool visualizations with it. So one of the first things I'm gonna do is I'm just gonna go ahead and actually change the base map on there. And the base map is just the base level imagery that we're gonna have on the map. And I like to have a dark so that I can have a good contrast between what I'm seeing and all the labels and the actual symbology of this layer. So, um, what I'm gonna do right here is show you how to make a heat map real quick. So what we're gonna do is when the data is in your map, you're gonna have it over here. You're gonna go to the options, and then we're to style it by coordinates, which is the location where it's at. And then we're gonna go ahead. I do a heat map right. The heat map is going to show us where there is more distribution of where the data is. So this is just showing that we got more data in your Paraguay and then we did in Argentina or Chile, right? Or the distribution is more intense right here. And we zoom out to the other comments we could see worldwide on a larger scale, kind of where that falls. And so this could be helpful for a couple of different things. But let's go ahead and check out a couple different, um, waste of show. So we goto location, single symbol. We're gonna play where on this real quick. So I'm gonna go to Crop and I'm gonna see what that gives me. And this is gonna cool because now I can get a different color of symbol. So rice is blue and continous pink, and we is this, like burgundy color. So that's pretty cool. That is definitely something that we can use. Teoh, you display this data in different way. And yet, with bins, that's not something that I'm necessarily have mess with too much. So I'm not going to say that that is something to do bust a heat map and location and modifying right here. This style by is pretty cool. You can also do, like, right here, the nation Co. Great. So we're gonna have I think we're gonna be able to style by, um, we'll see unique symbols. There we go. Simple type symbols by nation code or state code trying to get it to show. Um, by Okay, this has gotta cool. So these air color differently. So I guess for some reason this data p just as the country code that might work. Okay, Cool. So every country should maybe have their own color now county code. So any out there's a lot of different things you could do with this. Just mess around with your data. Six every data is that s that's going to be different. And you're pretty much just gonna wanna just mess with that and see what you can get. There's all sorts of stuff in this data that I have right here I'd like to mess with, since it's the clearest one, um, the different crops. And that is what I'm gonna use to show off this data right here. Sitting on the next video. We'll get in some other stuff. So see you then 7. 07 Working with Charts and Making Pages: All right, So we're gonna get into manipulating some march, are dead, and we're gonna talk about how the chart works in conjunction with the map. So women actually do. They're gonna delete this to show you how to remake it. So just dragged out in there, drop in for a chart, and the first thing you're gonna get is basically just gonna auto detect fueled. That is significant. In this case, it just happened. Picked crop type. Okay, we can definitely change that. Modify that and do stuff with that. But I'm sure you have. We're gonna want to do this is showing right now our entire deaths, that right? So where you have crop data from Australia, Africa, South America. Right. So one thing I just want to point out we we land right here. If I click on the crop type like in a chart, it will interact with me on the map. So I'm clicking on he's different types because I've made this symbology unique to the crop type. I'm actually able to click on these values and see, which is kind of cool, because this is getting into what it looks like when we actually interact with the data and how that looks and and that fuels right to our users and to us currently, because we're kind of playing that part right now. But what I'm gonna do is I'm gonna actually just take this card right here, and I'm gonna say Crop and South America, it's a crop to South America. All right, there we go. Cool, not. I'm gonna filter that. I'm gonna go ahead and filtered by. So this is gonna filter. Um, all of the crop names, all right. And all the counselors drops, but that's gonna filter by location. So we have by location is gonna check that location column is going to see. Hey, what do you have here? So what I like to do is just one select all and then just go through and select the ones that I want to filter by. Something's gonna go through and get some of the South American countries on, Sure. Where I'm apply that. And then now what we have is we actually have crops in South America, so we can see what we have all these here. But the one thing we're looking at as thes aren't really sorted and have rice and barley or kind of my leaders followed by wheat sorghum. So we're being in May, so you don't want to just display this? Ah, in descending right were a sending or a dizzy right, But generally do, like, highest the lowest, Right? So that's really cool, because we can take our map. We can kind of focus it right on this area, and we can have this area, this page right here, just be South America. Right? And then we could go. We could make, like, another page for, like, Australia, And then we can do a filter to crop distribution and Australia in the same way. And that will be, well, we'll go ahead and we'll do that right now. So be like map of crops in South America. All right, so I'm gonna do that. And this is a show where what types are I'll go ahead and make it new page, and then that'll force me to you bring in the deficit again. Someone's gonna grab that. Get in. All right, There it is. When a needle location gonna run that when that comes in, I'm gonna make a map set The base map Minimum at chart and looks like that's done. We got a map. Bring in that base map we're talking about here. Dark grey canvas. I said that Australia. Right. And you can definitely fall along here if you got account. Not that's fine, too. So we're gonna go ahead style by corrupt and unique signals symbols, and we're gonna have that Leo, Australia. Right there. On that's done. We're gonna go ahead and say of, uh, Crops and Australia. Cool. And then we're gonna take the same data, take it and drop it in this chart. Then we're gonna filter this by location, and then we're gonna go through here and forget Queensland Victoria in Western Australia and apply those. And then we can see that distribution. I think I got everywhere. Australia. Forgive me if you're from Australia, and I miss somewhere. Pretty sure I got this is not, like, not too too familiar. But we'll see how to make these charts a little bigger. They put him side by side. Did you see if I want to click over here on the week, I could see the wheat is all the way over there. And Perth on their someone. Brisbane and nowhere. There's kind of some all over and click on oats or corn or broom millet. I'm not actually sure what that does sound like a grain to me. And then I could take this. I could say, Ah, Australia. And I'll go ahead and just look back over here. We'll do kind of the same thing. It's gonna make this a little bit bigger. Sort that out. And here we go. And we have some tabs that are actually showing the data set across different areas. So we can kind of see this. So this might be a way that somebody wants to You have their data representing. This is sort of moving into the area where we're showing off, actually, like how to represent the different parts of the data set instead of just all of it at once . So we're kind of cutting it up right now, so, you know, I'm going to see that. Just make sure get a progress state there, and yeah, in the next video, show you some more stuff 8. 08 Chart Aesthetics and Functionality: All right, we're gonna go ahead and get into working some more with these charts. We're gonna do some things with the aesthetics of the charts and what's gonna add in some more data sets. So, um, what I got right here on the side? Actually, if you just hit the drop down on your data, it's pretty cool. You can take what you've got over here, and you can add it in as an additional piece of data that you can add a chart. So, like, right here, I've got the crop type in this area, and I filtered by Australia only, And I've got the map on Australia only. But what I'm gonna do is I'm gonna take get the precipitation average and bring that into in its short. We're gonna take this, make it a little bit smaller, and move this up so that I can kind of see this a little bit better in our frame here. And then you can see all three charts work together. If I'm hitting this precipitation average, it'll filter the map. It will filter this chart up here. So, uh, clicking along here, it's kind of cool, right? We got something going on. Um, but some of this stuff looks a little bit out of. It's not exactly the way that I'd want it to look like, just by my preference, right? So over here, if you click on the $3 you can get, um, the card sitting. So I like to take these, and I like to do sort of like a dark theme with them. You can take the background color drop. It's something like this. It's this one's like the 3rd 1 from the top and the foreground color. Make that white. I'll give us this nice black hair, dark theme look and the border color. You can also change that sort of mess with that on DSI, where or that is what it's gonna look like. Let's leave it like it is for now. You make the border a little bigger off. Here we go, Snow. When I click off, it's you know it's got this nice white border. Um, it's not actually exactly what I want, something that may be taken do reporter like that five pixels. Cool rights. That's, ah, pretty nice. So let's go ahead and take this label here, and we'll just change this to say crops? Yes, sure. Ah, right here. We'll do the same thing on this. Pretty much. All of your charts are gonna have a similar I think you're gonna be able to accomplish with those background color for until her. Now you can see we have this appears changed. See, we can do some more stuff here is get the border five pixel border with this. Think this is a color I picked in the other? Yeah, There. Yes. Never started getting nice being here. So this is It's a really cool right. Um also, another thing we can do is you see, like, when I click on something over here like the sorghum, it'll show only the sorghum Um uh, dots on the map, like the symbols over here. But what I want to do to something you get used to being able cross filtering on your map. Then it'll show Onley there was no kind of move over to show all those ones that are in frame. Right? So this is something that kind of gets rid of the rest of the noise. Right? So this is pretty cool, right? Kind of cleans, cleans the map up a little bit, You won't be able to see everything else. But we only want to see what you're clicking on. It's it's pretty useful. So, um, and the map snapping to those specific areas is really cool to like that. Let's go ahead in here and change this one as well. Also, one thing we could do to we can edit the labels. So this right here. So this is, um we're just going to say crap counts over here is gonna be aside. Name. Right. So now it looks that did not work crop name so that it looks like a realtor. It doesn't look like all messy with all this underscores and everything. And then I think one thing we can actually do is well, IHS, huh? We're sure to find it. Yeah, let me sort. Um, ascending. Yeah, That'll be pretty cool. And then go over here. There we go. Cool. So, on this card, I could do the same thing model file of its labels and bring it over. So that only shows, um, crops with certain precipitation average. Um, but yeah, that is how you can You can do that. We did just kind of slide over here to South America. Real quick. One on the filter on accents so thick. And they do a couple more changes to get that to be all the way where we want to be. But yeah. There, you cool? All right, so in the next year, we get into some other stuff. 9. 09 Using the Action Button Explained: all right, So now that we've gotten all of our charts looking aesthetically pleasing, we filter them out, and we've given a couple of different pieces of the data. Put those in charts so that we can view those nicely and filter through those different things there. And we can, uh, you have. This is this is kind of a working product for us. But one thing I want toe hit on before I did to you. Like sharing and publishing This is that every data. So it's gonna be different. So there's a lot of different ways to display data. But on to these pains, whether it's like the charts or the map on the bottom, right hand corner is the action button. And in there they have this really easy guide to displaying the data and like what sort of things you could do. So there's all sorts of different things you can dio to answer different questions, right? So, finding answers like, how is this data distributed? How is data related what's near what's near this data, right? Like if you have multiple datasets in, maybe you could bring in, like, since this is a cultural you could bring in what rivers or bodies of water are nearby. These crops, Maybe that will be have some relations, this data. And then you can also see how it's changed over time or something like that, right? There's a lot of different options for you to use data and display it. So I encourage you to really play around with ease. And there's not any one of the East is specifically better than the other. It just involves asking yourself, What am I trying to answer? You know what I want to show people, and what do I want to do with that? So this is a A really in depth and multiple, you know, faceted. Think here of this action button, right? You could do a lot of stuff with it, definitely check it out and play around with it. Try to you, um, answer those questions. You're trying to answer your data because that's where you should be doing when you're doing this data analysis, that should be the point. What you're doing there so and how that is on that and next to me, to get into showing you how to share 10. 10 How to Share Workbook ArcGIS Insights: All right, so now we're gonna look at how to actually share this out into a product that we can actually have people interact with. So what we're gonna want to do with that is just go back to our main page. I don't save changes, but that's OK. And then on your workbooks, you're gonna want to go over to the share button is gonna want click on that. And then you can select whether you want to share that. Just, you know, outside of you write is that your organization? Is that everyone? Right? If you share it with everyone that it's something public that can be viewed all over the place, right. So, um, most of the time, you'll have an organization like your company war your you know, whatever your organization is, and you will be able to share it with them and they'll be able to come and see it, and that will kind of make it private in a way to where only the people who were part of that group can see it. So that's really up to you. And that's ultimately the end of the course. That's what you know, we're gonna do with him, Find out it, bring it in, display it, analyze it, and and we're going to share it out. And so that's that. So, um, figuring out on the course and definitely will be back with some more advanced level insights stuff here in the future, but until then, see you later.