Что такое маппинг в excel

Содержание

1. Create a Map chart in Excel
2. Download our examples
3. Create a Map chart with Data Types
4. Formatting your Map chart
5. Frequently Asked Questions
6. Limitations
7. Need more help?
8. Визуализация геоданных на карте
9. Способ 1. Быстро и бесплатно — компонент Bing Maps
10. Способ 2. Гибко и красиво — режим карты в отчетах Power View
11. Способ 3. Дорого и профессионально — надстройка Power Map
12. Способ 4. Пузырьковая диаграмма с «доработкой напильником»
13. Способ 5. Сторонние приложения и надстройки

Create a Map chart in Excel

You can use a map chart to compare values and show categories across geographical regions. Use it when you have geographical regions in your data, like countries/regions, states, counties or postal codes.

Note: This feature is available on Windows or Mac if you have Office 2019, or if you have a Microsoft 365 subscription. If you are a Microsoft 365 subscriber, make sure you have the latest version of Office.

Download our examples

Map charts can display both values and categories, and they each have different ways of displaying color. Values are represented by slight variations of two to three colors. Categories are represented by different colors.

For example, the Countries by Tax Revenue % chart below uses values. The values represent tax revenue in each country with each portrayed using a gradient spectrum of two colors. The color for each region is dictated by where along the spectrum its value falls. By default, the higher the value is, the darker its corresponding color will be.

In the following example, Countries by Category, the categories are displayed using a standard legend to show groups or affiliations. Each country is represented by a different color.

Create a Map chart with Data Types

Map charts have gotten even easier with geography data types. Simply input a list of geographic values, such as country, state, county, city, postal code, and so on, then select your list and go to the Data tab > Data Types > Geography. Excel will automatically convert your data to a geography data type, and will include properties relevant to that data that you can display in a map chart. In the following example, we’ve converted a list of countries to geography data types, then selected the Tax revenue (%) field from the Add Column control to use in our map.

Now it’s time to create a map chart, so select any cell within the data range, then go to the Insert tab > Charts > Maps > Filled Map.

Charts > Maps > select the Filled Map icon.» loading=»lazy»>

If the preview looks good, then press OK. Depending on your data, Excel will insert either a value or category map.

Tip: If your data is set up as an Excel table, and then you add a country to the list, Excel will automatically update it as a geography data type and update the linked map chart. Similarly, if you remove a country, then Excel will also remove it from the chart.

Formatting your Map chart

Once your map chart has been created you can easily adjust its design. Just click on the map, then choose from the Chart Design or Format tabs in the ribbon. You can also double-click the chart to launch the Format Object Task Pane, which will appear on the right-hand side of the Excel window. This will also expose the map chart specific Series options (see below).

There are several map chart specific Series options, however they are not supported in Android devices or Excel Mobile. If you need some of the map Series options, then you can build your chart in Excel for Windows or Mac and view it on an Android device or Excel Mobile.

Map projections — Change the map’s projection style. By default, Excel will display the most efficient style.

Map area — Change the map’s Zoom level, ranging from a state/province view, all the way to the world view.

Map labels — Show geographic names for your countries/regions. Chose to show names based on fit, or show all labels.

Frequently Asked Questions

Question: When I use certain text-based locations, I end up with a blank map and an error, or some of my points map in other countries.

Answer: If you use data where there might be more than one similar location in the world, map charts can’t necessarily tell the difference without more guidance. If possible, add a higher-level detail column to your data. For example, the following locations won’t necessarily map the way you expect since there are many places in the world where these are valid county names:

But the data should map correctly if you add another column for higher-level detail, in this case, Province – This is called Disambiguation:

When there are multiple levels of geographic details, you must separate each level into its own cell/column. For example, “Washington, United States” (State, Country) will not successfully generate a map. In this instance, the data will map successfully when placing “Washington” and “United States” into separate columns.

Data that won’t map (State and Country are combined)

Data that will create a map of Washington State

Limitations

Map charts can only plot high-level geographic details, so latitude/longitude, and street address mapping isn’t supported. Map charts also support one-dimensional display only, but if you need multi-dimensional detail you can use Excel’s 3D Map feature.

Creating new maps, or appending data to existing maps requires an online connection (to connect to the Bing Map service).

Existing maps can be viewed without an online connection.

There is a known issue where Map Charts which make use of Geography Data Types can sometimes map incorrectly. Please try to include Admin Fields, such as Province or Country when attempting to plot these until the problem is fixed.

Need more help?

You can always ask an expert in the Excel Tech Community or get support in the Answers community.

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Визуализация геоданных на карте

Если ваша компания имеет филиалы по стране или продает не только в пределах МКАД, то рано или поздно вы столкнетесь с задачей наглядно отобразить числовые данные из Microsoft Excel (продажи, заявки, объемы, клиентов) на географической карте с привязкой к конкретным городам и регионам. Давайте вкратце пробежимся по основным способам визуализации геоданных, которые существуют в Excel.

Способ 1. Быстро и бесплатно — компонент Bing Maps

Начиная с 2013 версии в Excel встроен магазин приложений, т.е. появилась возможность докупать, скачивать и устанавливать дополнительные модули и надстройки с недостающими функциями. Один из таких компонентов как раз и позволяет наглядно отображать числовые данные на карте — он называется Bing Maps и, что особенно приятно, абсолютно бесплатен. Для его установки откройте вкладку Вставка — Магазин (Insert — Office Apps):

После вставки компонента на листе должен появится динамический контейнер с картой. Для визуализации на карте вашей информации нужно выделить диапазон с геоданными и нажать кнопку Показать местоположения (Show Locations):

При необходимости в настройках (иконка с шестеренкой в правом верхнем углу компонента) можно поменять цвета и тип отображаемых диаграмм:

Также возможно быстро отфильтровать города, отобразив только нужные (значок воронки в правом верхнем углу компонента).

Спокойно можно привязываться не только к городам, но и к другим объектам: областям (например, Тульская область), автономным округам (например, Ямало-Ненецкий АО) и республикам (Татарстан) — тогда кругляш диаграммы будет отображен в центре области. Главное, чтобы название в таблице совпадали с подписями на карте.

Итого в плюсах этого способа: легкая бесплатная реализация, автоматическая привязка к карте, два типа диаграмм, удобная фильтрация.

В минусах: нужен Excel 2013 с доступом в интернет, нельзя выделять области и районы.

Способ 2. Гибко и красиво — режим карты в отчетах Power View

Некоторые версии Microsoft Excel 2013 идут в комплекте с мощной надстройкой визуализации отчетов, которая называется Power View и позволяет (помимо всего прочего, а умеет она много!) наглядно отображать данные на карте. Для активации надстройки откройте вкладку Разработчик (Developer) и щелкните по кнопке Надстройки COM (COM Add-ins) . В открывшемся окне поставьте галочку напротив Power View и нажмите ОК. После всех этих манипуляций на вкладке Вставка (Insert) у вас должна появиться кнопка Power View.

Теперь можно выделить диапазон с исходными данными нажать на эту кнопку — в вашей книге будет создан новый лист (больше похожий на слайд из Power Point), где отобразятся выделенные данные в виде таблицы:

Превратить таблицу в географическую карту можно легко с помощью кнопки Карта (Map) на вкладке Конструктор (Design) :

Обратите особое внимание на правую панель Поля Power View — на ней, в отличие от примитивных Bing Maps, перетаскивая мышью названия столбцов (полей) из исходной таблицы и бросая их в разные области, можно очень гибко настраивать получившееся геопредставление:

• В область Местоположения (Locations) нужно закинуть столбец из исходной таблицы содержащий географические названия.
• Если у вас нет столбца с названием, но есть колонки с координатами, то их нужно поместить в области Долгота (Longitude) и Широта (Latitude) , соответственно.
• Если в область Цвет (Color) закинуть товар, то каждый пузырек будет кроме размера (отображающего общую прибыль по городу) детализирован на дольки по товарам.
• Добавление поля в области Вертикальных или Горизонтальных множителей(Dividers) разделит одно карту на несколько по этому полю (в нашем примере — по кварталам).

Также на появившейся сверху контекстной вкладке Макет (Layout) можно настроить фон карты (цветная, ч/б, контурная, вид со спутника), подписи, заголовки, легенду и т.д.

Если данных очень много, то на вкладке Power View можно включить специальную Область фильтров (Filters) , где с помощью привычных галочек можно выбрать какие именно города или товары нужно показать на карте:

Итого в плюсах: легкость использования и гибкость настройки, возможность дробить одну карту на несколько по категориям.

В минусах: Power View есть не во всех комплектациях Excel 2013, нет других типов диаграмм кроме пузырьковых и круговых.

Способ 3. Дорого и профессионально — надстройка Power Map

Это отдельная COM-надстройка для максимально тяжелых случаев, когда нужна сложная, профессионально выглядящая, анимированная визуализация большого количества данных на любой (даже пользовательской карте), причем с видео динамики процесса во времени. На этапе разработки она имела рабочее название GeoFlow, а позже была переименована в Power Map. К сожалению, в полноценном варианте эта надстройка доступна только покупателям либо полной версии Microsoft Office 2013 Pro, либо подписчикам корпоративных версий Office 365 с тарифным планом Business Intelligence (BI). Однако превьюшку этой надстройки товарищи из Microsoft дают скачать «на поиграться» совершенно бесплатно, за что им спасибо.

После скачивания и установки надстройку нужно подключить на вкладке Разработчик — Надстройки COM (Developer — COM Add-ins) аналогично Power View из предыдущего пункта. После этого на вкладке Вставка должна появиться кнопка Карта (Map) . Если теперь выделить таблицу с исходными данными:

. и нажать кнопку Карта, то мы попадем в отдельное окно надстройки Microsoft Power Map:

Если не вдаваться в детали (которых тут хватит на отдельный тренинг на полдня), то общие принципы работы с картой тут те же, что и в Power View, описанной выше:

«Вау-моментом» надстройки Power Map можно, пожалуй, назвать предельную легкость создания анимированных видеообзоров на основе сделанных карт. Достаточно сделать несколько копий текущей сцены с разных углов просмотра и разным масштабом — и надстройка автоматически создаст 3D-анимацию облета вашей карты с акцентированием внимания на выбранных местах. Полученное видео потом легко сохраняется в mp4-формате в виде отдельного файла для вставки, например, на слайд Power Point.

Способ 4. Пузырьковая диаграмма с «доработкой напильником»

Самый «колхозный» способ из всех перечисленных, но зато работающий во всех версиях Excel. Построить пузырьковую диаграмму (Bubble Chart), отключить у нее оси, сетку, легенду. т.е. все, кроме пузырей. Затем вручную подогнать положение пузырей, подложив под диаграмму скачанное заранее изображение нужной карты:

Минусы этого способа очевидны: долго, муторно, много ручной работы. Да еще и вывод подписей к пузырям представляет собой отдельную проблему, когда их много.

Плюсы в том, что этот вариант будет работать в любой версии Excel, в отличие от следующих способов, где обязательно требуется Excel 2013. Да и подключение к интернету не требуется.

Способ 5. Сторонние приложения и надстройки

Раньше существовало несколько надстроек и плагинов для Excel, позволяющих с той или иной степенью удобства и красоты реализовать отображение данных на карте. Сейчас подавляющее большинство из них либо заброшены разработчиками, либо в стадии тихого отмирания — с Power Map конкурировать тяжело 🙂

Из оставшихся в живых достойны упоминания:

• MapCite — пожалуй, самая мощная из всех. Умеет привязываться к карте по названиям населенных пунктов, областей, округов и координатам. Выводит данные в виде точек или тепловой карты. Использует карты Bing в виде основы. Автоматом умеет кидать созданную карту в презентации Power Point. Для скачивания доступна бесплатная trial-версия, полная версия стоит 99$/год.
• Esri Maps — надстройка от компании Esri также позволяющая подгружать и анализировать геоданные из Excel на карты. Много настроек, различные типы диаграмм, поддерживает русский язык. Есть бесплатная демо-версия. Полная версия требует подписки на картографический сервис ArcGis.
• MapLand— одна из первых надстроек на эту тему, созданных еще для Excel 97-2003. Идет с набором карт в виде графических примитивов, к которым и привязываются данные с листа. Дополнительные карты надо докупать. Для скачивания доступна демка под разные версии Excel, Pro версия стоит 299$.

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Overview

This week I will illustrate three different types of mapping techniques you can do in Excel: repeat address, choropleth, and kernel density hot spot maps. Excel has only very basic mapping capabilities, and most crime analysts will use a full fledged Geographic Information System (GIS) to do more sophisticated data manipulation. (Check out my graduate level GIS course for example.)

But Excel has recently made some mapping capabilities available, so I will show how to do some simple mapping techniques. Either download the data from ELearning, or download it from here.

Repeat Address Mapping

Working with Zip files

For those not familiar with zip files, I often use them to send larger files as one (nicer for emailing or opening up a set of files). It compresses the data, and makes it one file, so easier to share. So here is what that zip file looks like on my machine in the Windows folder view.

But to work with them you need to unzip them. Right click on the zipped folder and select Extract All.

Then it brings up a dialogue for the location of where to save the files. By default it saves it in the same folder that the zip file is located in. If you are working in the lab, you might want to change it to where you store all of your files for class. Then hit Extract to de-compress the files.

You can see I have a new folder named Lab04_Mapping.

To do the reverse, what is typical is to place all of the files in a single folder. Then you can right click on the folder, and then select Send To -> Compressed (zipped) folder

And that will subsequently create a zip file in the same folder (if you still have Lab04_Mapping.zip in the same folder, it will make a new one named Lab04_Mapping (2).zip).

That is the zip file service that comes for free with Windows. Another popular compression tool is 7-zip. That tool can do either traditiona zip compression, or even better compression .7z. (But note not everyone will have access to 7z, to some users may not be able to use it.)

Cleaning Address Strings

In this section, I will illustrate some simple text manipulation you can do in Excel. This is common to clean addresses, in many systems you will have extra text in the address column that prevents proper geocoding.

Go ahead and open up the DallasIncidents.csv file in Excel, and turn the data into a table. It is pretty big (just short of 100,000 total incidents), so takes a minute.

Select column G (City), and right click Insert.

This will create a new blank column in-between IncidentAddress and City. Name that column CleanedAddress. Then select the IncidentAddress column (F), double click the right edge of the F column at the top to expand it, and hit Ctrl+F to bring up the Find & Replace dialogue.

Type in APT in the Find What box, and then hit the Find Next button, this should take you to row 5,740, and show that an address with Harry Hines Blvd accidently has an apartment number included.

Having extra text like that will often make the geocoding engine fail. This dataset is pretty clean already (DPD must use some type of data validation already when inputting addresses), but it has a few of these APT notes misplaced in the main address field. To fix this what we are going to do is to search for the text APT, and then only return the text string. This will require nesting several functions together:

• The LEFT function to return the string
• The FIND function to search the address string for if it contains APT
• and the IFERROR function, to just return the original string if it does not contain any extra APT notes.

So first, in our new (and so far empty) column and row 5740, type in the formula =LEFT([@IncidentAddress],10). You can see in the update this just grabs the first 10 characters in the string.

To strip out the APT text, and keep the address stuff we want, we need to replace the hard coded 10 with where the APT string starts. The function FIND lets us do that, so lets replace our formula now with =LEFT([@IncidentAddress],FIND(" APT",[@IncidentAddress])). I include the space before APT to prevent catching street names that might include APT within them, e.g. something like RAPTOR ST would not be captured.

We can see now that this works for the Harry Hines address, but gives us errors for the others that do not have APT contained in them. This is because if » APT» is not contained in the original IncidentAddress string, the FIND function will return an error. So to fix this we will use the IFERROR function. Now update the formula to read =LEFT([@IncidentAddress],IFERROR(FIND(" APT",[@IncidentAddress]),100)). In long form to make the nesting easier to read, here is how the formula goes:

=LEFT([@IncidentAddress],
      IFERROR(
              FIND(" APT",[@IncidentAddress]),
              100
              )
     )

Here we use 100 as just a long number that will contain the full address for any cells that do not contain » APT“. Another option sticking just to the data would be to replace 100 with LEN([@IncidentAddress]). And now we can see that our new address field works out just dandy.

Now right click on column K (ApartmentNumber) and Insert a new column. To use the Excel geocoder, we need to submit one string with the full address (include City, State, and Zipcode). Name the column FullAddress, and then type in the formula =CONCATENATE([@CleanedAddress],[@City])

Whoops, we can see that there is no space in-between our address field, and the city name Dallas. Now redo the formula, inserting ", " inbetween the two columns, =CONCATENATE([@CleanedAddress],", ",[@City])

That looks better now. Go ahead and add in the State and Zipcode, incorporating extra spaces and comma’s in where appropriate. So in the end mine looks like =CONCATENATE([@CleanedAddress],", ",[@City],", ",[@State]," ",[@ZipCode]).

Next up, doing repeat address mapping.

Making a Repeat Address Table

Go ahead and make a pivot table of the incidents, using FullAddress for rows, and ucr_redString for the columns, and Count of ucr_redString for the values.

Select the dropdown arrow in the Rowlabels area, and navigate to Value Filters -> Greater Than:

Then input 30 as the selection criteria and hit OK. This will limit the table to places with a total of 30 or more incidents (across all crime types).

Now right click on the header row of the pivot table, and select Pivot Table Options.

With the Layout and Format tab selected, in the empty cells option type 0. Then hit OK.

You will see the table now has 0’s instead of blanks for empty crime counts.

Using 3d Maps to make a point map

Before we move onto making a map (which is only available in newer versions of Excel, not sure if they are available for Mac editions), we need to save our worksheet as an xlsx file. So go to File -> Save As, navigate to where you want to save the file, and in the dropdown select Excel Workbook.

Also maps does not work with PivotTable (only regular tables). So we need to transfer our Pivot Table data into a new location. So, make a new worksheet, and label it RepeatAddress. Then from the Pivot Table copy-paste cells A4:K222. Then turn that data into a Table. I renamed A1 then to say address.

With that data, now in the top toolbar go to Insert, and then select the 3D Map option.

This should bring up a map! And Excel automatically figures out to geocode the locations. You can zoom into the locations around Dallas to check it out. I also click the Map Labels option (brings up street names), and the Flat Map option here.

Now we will style our map, showing addresses with more crimes as larger circles. (We will check the geocoding in a bit.) In the right hand side, click the bubble looking icon just below the Data layer, and then select the Add Field option below Size, and select Grand Total as the field.

This will make the bubbles too big, so expand the Layer Options (below Size), and set the Size to 20%, Thickness to 0, and Opacity to 80%. Here I also change the color to a more pink/salmon. Now you can see variation in crime areas a bit better.

You can zoom into the map and select the circles, which brings up a tool tip. Here I zoom into the largest bubble. Uh-oh, it is 1400 S Lamar St. This is just DPD headquarters! I don’t want to map that.

So navigate back to the RepeatAddress worksheet. Then sort the data by descending values on the Grand Total Column. Then select the Lamar St row, and right click and select Delete.

Now if we go back to our Map, the bubble is still there. But lets hit the Refresh Data button, and then see the map update with no more bubble on S Lamar St.

Now we are going to check our geocoding results. In the Layer table of contents on the right, above the Location box there is a little % button. Here it says 0%, and click that:

You can see a bunch of warning yellow triangles, but it just happens to be because of the proper case versus all uppercase addresses. So even though it says 0% mapped with confidence, it doesn’t appear to be that bad.

Click the Result column header twice, and this will sort the 3 cases that were not matched at all to the top of the table. (If you only click once, it will sort them to the bottom, all the way on page 5.)

We now need to change the data so it will map. I typically use a mix of googling (Fun Way appears to be a small road around Fair Park). And it happens that LBJ in the Excel (Bing) maps is listed under its full name, Lyndon B Johnson. Lets navigate back to the RepeatAddress sheet, and edit these few locations.

To make it easier I selected out just those three addresses in the Address column. Select the dropdown arrow on the Address column, the select the Text Filters -> Custom Filter option.

Then in the options to the right, make sure the contains option is selected, and in the two rows type FUN WAY and L B J (for the latter make sure there are spaces). Then click OK.

You should now see our three bad addresses selected.

For LBJ, we just need to edit the address to be Lyndon B Johnson and will it subsequently geocode. For Fun Way it is alittle more difficult, as that address is not in Bing maps at all. So edit LBJ to say Lyndon B Johnson instead (keeping the same address). But for the 1600 FUN WAY I am going to just use Cotton Bowl Circle (as it is pretty close). Leave the 1550 Fun Way as is.

Now go back to the map page, click the Refresh Data button, and then scroll the map to Fair Park. You should now see our big bubble that (that used to be 1600 Fun Way).

If you go back to the Mapping Confidence dialogue and sort again by Results, you should now only see the 1550 Fun Way address.

I am not going to worry about fixing this last address for now. One way would be back in the original data, whenever you encounter FUN WAY, change that address to simply Cotton Bowl Circle. That would collapse the two FUN WAY addresses together in the final map.

Choropleth Mapping

Next up, we are going to create a choropleth map of crime densities per DPD reporting areas. Small geographic areas made up by DPD to patrolling essentially.

First we are going to add in a file of all of the reporting areas. Navigate back to the main Excel document, and create a new worksheet and title it, ReportingAreas. Then select cell A1, and in the top toolbar go to the Data tab, and select From Text.

Then in the dialogue, navigate to the RA_Data.csv file location, and select that file. and click Import.

In Step 1 of 3 in Text Import Wizard, make sure Delimited is checked, as well as My Data has headers. Then click Next.

Then in the next step, make sure Comma is selected. It will then make the fields have lines inbetween them (whereas if you leave it as Tab it will just import all of the data as one big string in one column).

Then in the step 3 of the Wizard you can keep the defaults for how it treats columns, and then just click Finish.

Then finally you get alittle Import Data dialogue that asks where you want to import the data. Make sure =$A$1 is chosen, and then click OK.

You may be asking what is the benefit of doing it this way, as opposed to opening up the CSV file and just dragging the sheet into the current workbook. The answer is when you do it this way, the data is linked in the workbook. If you edit the CSV file, your values in the Excel workbook will change.

Here it does not make much of a difference, later in the semester though I will show how when linking to an Access database this will be really helpful behavior.

Merging in Data from a Pivot Table

Go to the original DallasIncidents_2017 sheet, and select the Design tab in the top toolbar. Then rename the table to Incident_Data.

Then navigate back to the ReportingAreas sheet and select cell R1. Then insert a Pivot Table – fill out the Select a table option to be Incident_Data, and the location to be R1 in the reporting areas worksheet. Then click OK.

In the Pivot Table, place ReportingArea for the rows, and count of ReportingArea for the Values.

This looks like it lines right up with our other data we imported, but if you scroll down further you can see it does not line up directly forever. In cell K2, type an equal sign, and then select cell S2. You will see a formula pop up that looks like =GETPIVOTDATA("ReportingArea",$R$1,"ReportingArea",1001)

Change the 1001 in the end to be B2. Then hit enter, and double click the formula to extend down the entire dataset. Here I also named the column CountCrimes. If you scroll down to row 44, you will see an error.

To fix this, we are going to nest our function within an IFERROR function. So change the function reference to =IFERROR(GETPIVOTDATA("ReportingArea",$R$1,"ReportingArea",B44),0). Then make sure to update that function both above and below in the column. (Note, the mapping functions in Excel will not work if you have errors in the data files.)

Now to end we are going to make a field that is the density of crimes per square mile. In K1, write CrimeDens, and in K2, the formula is just K2/J2.

For reference, if you are not working with Pivot Tables, another function to that of GETPIVOTDATA that can accomplish a similar task is called VLOOKUP. But here the Pivot Table specific function is a better choice.

Creating Custom Region Choropleth Map

Select cells A1:K1157, and then in the 3D map option select Add Selected Data to 3d Maps.

The map should now be the focus, and you should have a Layer 2 option in the right table of contents, but is empty (if not click the Add Layer button). Turn the point map off (by clicking the Eyeball in Layer 1). And then in the Location field in the dropdown select RA.

Then in the dropdown for the RA select Custom Region (.kml, .shp).

You then get a pop-up to import custom regions, Go ahead and click Yes, and then navigate to the DPD_ReportingAreas.kml file. (This is a type of geographic file, specifically one associated with Google Earth.)

In the Regions selection, change the default Name to RA. Then click Import.

You should see them populate as a bunch of points in the map. In the table of contents on the right, change the Viz. type to region. Then in the value section change it to CountCrimes.

Then in the layer options I changed a few options to get alittle more difference across the areas.

Note to create an image of the map, you can click on the Capture-Screen button on the top left, and then paste the resulting image into whatever document you are using.

This ends up not showing much variation and looks washed out. One way to make more variation in the map is to bin the data (such as via quantiles). (ToDo for another time!)

Homework

For your homework, create a table of the top 10 repeat addresses for Robberies in Dallas. Then for the mapping portion, create a Choropleth map of the robbery rates per population for reporting areas (see the POP2010 field). Insert both of the those into a powerpoint presentation, then save as a PDF, and turn the PDF in.

See below for an additional extra credit opportunity via making a kernel density map.

On my personal website I have created an example of creating an animated hot spot map over time. Check out the video for illustration.

For 5 points extra credit, create an animated hot spot map for one particular crime type in Dallas and turn it in.