This free Bible lesson is based on Mark 1:14-20 when Jesus begins to call His disciples. It is designed for children's church or Sunday School. Please modify as best fits your ministry.
If your church follows the Revised Common Lectionary, this teaching plan would correspond to Year B – 3rd Sunday after the Epiphany, Gospel Reading – Mark 1:14-20.
Opening Activity – Drop Everything – Most Important Matching Game
Supplies – index cards, writing utensils
Give each child 4 index cards and something to write with. On each card, have them write one item/pet/person they would bring with them if they had to flee their home, and write their name.
Collect all of the cards, mix them together, and lay them out face down on the table. Play a matching game to see what everyone thought was important, and what the most popular items are. A match consists of choosing two cards with the same item, or choosing two cards written by the same person. (Keep in mind that you may end up with unmatchable cards near the end. Once you reach that point, just turn over each additional card to see what is written.)
Lesson – Drop Everything
It's interesting to see what everyone thought was important, isn't it?
And I thought it was hard choosing just 4 items. I mean, 4 items! Am I the only one, or did you want to pick more too?
What about all of my family? And pictures to remember all of our adventures? What about my wallet with all of my money? Would I need to bring food? Clean clothes? My phone? A blanket? A flashlight…
It's so hard to think of leaving so many things behind. Part of me feels sad, because I would miss everything. And another part of me feels scared. What if I needed something that I left? What if it got really cold and I didn't have anything to keep me warm?
Thankfully, we don't have to make those choices right now, but in today's Bible story there are some people who left EVERYTHING behind to follow Jesus. I mean EVERYTHING.
And speaking of EVERYTHING – every time you hear that word I need you to make a surprised or shocked face. Let's see if you can listen well enough to catch them all. Ready?
Right after Jesus was baptized He began his ministry, and He chose some men to come with Him as He traveled and preached. There were 12 of them, and we know those men as the 12 disciples or the 12 apostles.
You might think these guys were special somehow; like maybe they had EVERYTHING in the Bible memorized, or they spent more time praying than sleeping, but the truth is, they were just regular guys just like us. They sinned just like we do, they weren't perfect, and they didn't do anything to deserve traveling with Jesus and becoming one of His disciples. But they did do one thing that made them kind of special; they dropped EVERYTHING.
The first two men Jesus called were actually brothers, Simon and Andrew. Simon and Andrew were fishermen, so they spent their days out on the Sea of Galilee together casting nets and catching fish. Fishing was very important in two ways. 1. It provided them with food to eat. I'm sure they sometimes wished they could eat something else for dinner, but at least they wouldn't starve. 2. It provided them with money. Any fish they didn't eat they could sell at a market. Then they would have money to buy food, clothes, fishing supplies, and EVERYTHING else that might pop up.
So for Simon and Andrew fishing was EVERYTHING. It took up all their time and provided them with EVERYTHING they needed to survive. But remember what I said, they dropped EVERYTHING.
Jesus saw them casting their nets and called out to them, 'Come, follow me, and I will send you out to fish for people.' (Mark 1:17 NIV)
And they did. They left their nets, their fish, their home, their friends, their money. Simon and Andrew dropped EVERYTHING to follow after Jesus.
But that's not all. Just a little while later Jesus saw another group of fishermen out in a boat. There were brothers named James and John fishing with their father. Jesus called out to the brothers, and immediately they left, leaving EVERYTHING behind, including their father. James and John dropped EVERYTHING to follow after Jesus.
I can't imagine what it must have felt like for them, leaving EVERYTHING and everyone they ever knew, including their dad, to follow a stranger.
We are blessed that we don't have to drop EVERYTHING in order to follow Jesus. We still have homes, toys, money, and refrigerators filled with food.
Instead of dropping EVERYTHING, God asks us to drop somethings. Can you think of anything God might want us to get rid of? Maybe disobeying your parents, or saying ugly things about someone. And if you are super busy God might want you to drop something so you can spend more time reading your Bible, or praying, or going to church.
This week I want you to try doing one special thing for God. Maybe you could learn a Bible verse instead of watching TV, or maybe pleasing God by being a helper to your parents or teacher. It might not seem like it's big or important, but to God it's EVERYTHING.
Activity A – Drop Everything – Bible Verse Challenge
Supplies – Bibles
Verse – Mark 1:16-20
Pass out Bibles to students. Bibles should be closed and sitting on the table face up in front of each child. When you say go, have the kids look up this week's Bible verse. As each child finds the verse, have them stick one finger on the verse and quietly raise their other hand. The first one to find the verse gets to read it to the rest of the class.
Help younger kids and new kids find the verse by following these steps.
Look in the Table of Contents for the book you are looking for. Make an effort to show them if it is found in the Old Testament or New Testament to help them in the future. Then open the Bible to the page number listed in the Table of Contents.
Show them the large numbers in the text, known as the chapters. Flip through pages until you find the large chapter number you are looking for.
Then scan through the text with them pointing out the smaller verse numbers until the correct number is found.
Activity B – Drop Everything – Feet Following Jesus
Supplies – construction paper, pencils, markers, scissors, tape or wall putty
Give each child a piece of construction paper and a pencil. Have them stand on the paper and trace the shape of their foot. After cutting out the shape of their foot, have them write their name along with something they can do to follow Jesus. It could be something they give to make more time for Jesus, or correcting a bad behavior to be pleasing to God.
Once all of the feet are completed, mount them on the wall as a reminder.
Closing Prayer – Drop Everything
Ask for a volunteer to pray for the class before leaving, and encourage them to ask to thank God that even though we aren't perfect, we can still please Him and follow Jesus.
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You can change the type of marks displayed in the view to fit your analysis. For example, you can change the marks from bars to lines. This article describes how to change the type of marks used in the view, and explains the different types of marks available. For related information on marks, see Control the Appearance of Marks in the View and Marks card.
Change the mark type
To change the mark type:
On the Marks card, click the Mark Type drop-down and select an option from the list.
For descriptions of each mark type, see the following sections:
Automatic mark
When the Marks card drop-down menu is set to Automatic, Tableau automatically selects the best mark type for your data view. The mark type that is automatically selected is determined by the inner fields on the Rows and Columns shelves. The icon in the Marks card drop-down menu indicates which type of mark was automatically selected. The mark types below are automatically selected for the following scenarios.
Text
The Text mark type is automatically selected when there are dimensions as inner fields on both the Rows and Columns shelves.
Shape
The Shape mark type is selected when there are measures as inner fields on both the Rows and Columns shelves.
Bar
The Bar mark type is selected when there is a dimension and a measure as inner fields on Rows and Columns shelves.
Line
The Line mark type is selected when there is a date field and a measure as the inner fields on the Rows and Columns shelves.
Note: You can override the default selection and use any mark type that provides insight into your data. However, you should exercise some caution when manually selecting a mark type because the resulting view might hide important information about your data.
Bar mark
The Bar mark type is useful when you want to compare measures across categories, or when you want to break data down into stacked bars. Tableau displays your data using bars when:
The Marks card drop-down menu is set to Automatic, and you place a dimension and a measure as the inner fields on the Rows and Columns shelves. If the dimension is a date dimension, the Line mark is used instead.
You select Bar from the Marks card drop-down menu.
Marks are automatically stacked.
Note: For views where the mark type is Bar and there are continuous (green) fields on both Rows and Columns, Tableau supports additional options and defaults for sizing the bar marks on the axis where the bars are anchored. See the Continuous axis mark sizing section in Change the size of marks for details.
The data view shown below displays a dimension as the columns of the table, and a measure as the rows of the table. It is also color-encoded by a dimension (Category). Because the Marks card drop-down menu is set to Automatic, data is displayed using bars.
To try some hands-on exercises for building bar charts, see Build a Bar Chart.
Line mark
The line mark type is useful when you want to see trends in data over time, your data are ordered, or interpolation makes sense. Tableau displays data using lines when:
The Marks card drop-down menu is set to Automatic, and you place one or more measures on either the Columns shelf or the Rows shelf, and then plot the measures against a date dimension or a continuous dimension.
You select Line from the Marks card drop-down menu.
Note: In views that use the line mark type, you can use the Path property in the Marks card to change the type of line mark (linear, step, or jump), or to encode data by connecting marks using a particular drawing order. For details, see Path properties in the Control the Appearance of Marks in the View
The data view shown below displays a date dimension as the columns of the table and a measure as the rows of the table.
As the density of data increases, trends are often easier to see when using lines. This view shows 93 data points.
To try some hands-on exercises for building line charts, see Building Line Charts.
Area mark
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The Area mark type is useful when you have a view where the marks are stacked and do not overlap. For more information about stacked marks, see Stack Marks. In an area chart, the space between each line and the next line is filled with a color. This type of chart is not the best way to show specific values along the line but it can clearly show the total values so you can get an idea of how a dimension is contributing to an overall trend. Tableau displays your data using areas when:
- The Marks card drop-down menu is set to Automatic and one or more measures is plotted against a date dimension or continuous dimension. The Analysis > Stack Marks option must also be selected.
The view below shows a date dimension on the Columns shelf and a measure on the Rows shelf. Each line represents the sales for a product category. The lines have been stacked so that they do not overlap.
Note: You can add labels, edit the color legend, and highlight areas. In addition, you can turn on color effects, such as mark borders. For more information, see Control the Appearance of Marks in the View.
Square mark
The square mark type is useful when you want to clearly see individual data points. When you select Square from the Marks card drop-down menu, Tableau displays your data using squares.
The view shown below displays several dimensions on both the rows and columns shelves. By default, the data is displayed using text. However, when you place a measure on Color, Tableau converts the marks to squares and creates a heat map. To try some hands-on exercises for building highlight tables, see Build a Highlight Table or Heat Map.
When you add additional levels of detail by placing a dimension on Detail, Color, Shape, Size, or Label on the Marks card, the squares are displayed side-by-side and wrap to fill the cell. If the window is too small to show all of the squares, an ellipses indicates that there are more values than you can see.
You can also use the square mark to create treemaps. A treemap displays hierarchical data as a set of nested rectangles. To try a hands-on exercise for building a treemap, see Build a Treemap.
Circle mark
When you select Circle from the Marks card drop-down menu, Tableau displays your data using filled circles.
If the mark type was set to Automatic, Tableau would display the data using a shape (that is, an open circle).
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Shape mark
The shape mark type is useful when you want to clearly see individual data points while also viewing categories associated with those points. Tableau displays your data using a shape when:
The Marks card drop-down menu is set to Automatic, and you place one or more measures on both the Rows and the Columns shelves.
You select Shape from the Marks card drop-down menu.
The view shown below displays the data from two measures. Because the Marks card drop-down menu is set to Automatic, the data are displayed using a shape.
By default, the shape used is an open circle. To select a different shape, click Shape on the Marks card. Twenty unique shapes are available:
To add more data to the view, you can place a field on Shape on the Marks card. Tableau separates the marks according to the values in the field. If the field is a dimension, each member is assigned a unique shape. If the field is a measure, the measure is automatically binned into distinct buckets and each bucket is assigned a unique shape. The shape legend displays how shapes are distributed.
As shown below, the Ship Mode dimension is placed on Shape on the Marks card to encode each mark with information about how the order was shipped.
For details on how to build a scatterplot, see Build a Scatter Plot.
Text mark
The Text mark type is useful when you want to display the numbers associated with one or more dimension members. This type of view is often called a text table, a cross-tab, or a pivot table. Tableau displays your data using text when:
The Marks card drop-down menu is set to Automatic, and you place one or more dimensions as the inner fields on both the Rows and the Columns shelves.
You select Text from the Marks card drop-down menu.
Initially, the data is displayed as Abc.
To complete the view, you must place a field (typically a measure) on Text on the Marks card. In the view below, the Sales measure, which is aggregated as a sum, is used to complete the table.
Note: To create a cross-tab of any data view, select Worksheet > Duplicate as Crosstab.
When you add additional levels of detail by placing a dimension on Detail, Color, Shape, Size, or Text on the Marks card, the values are shown side-by-side and wrap to fill the cell. Allowing the text to stack up makes it possible to create word cloud visualizations like the one shown below.
If the application window is too small for all of the text values, some of the displayed text values will be truncated.
If the application window is too small for all of the text values, the cell displays an ellipses to indicate that there are more values than can be displayed. Number values that can't be displayed are indicated with pound signs (#).
For details on how to build a text table, see Build a Text Table.
Map mark
The Map mark type uses geocoding to fill a polygon or line with a color based on data. The primary use of the map mark type is for creating polygon or line maps. The area to be filled is defined by the geographic fields used in the view. Tableau displays data using a filled map when:
A geographic dimension is on Detail on the Marks card, along with Latitude and Longitude on the Rows and Columns shelves. A measure or continuous dimension is added to Color on the Marks card.
You select Map from the Marks card drop-down menu.
The data view below shows a map with the State geographic dimension on Detail on the Marks card. The Profit measure is on Color on the Marks card.
The polygon for each state is filled with a color based on the profit for that state. The profit in Texas is low (in fact, negative) while the profit in California is high.
You can also use the Map mark type when you are plotting two measures against each other. By default, placing measures on both the Rows and Columns shelves creates a scatter plot. However, adding a geographic dimension allows you to change the mark type to Map. Each mark becomes the area defined by the geographic field. For example, the view below shows Sales versus Profit for a selection of states. Rather than showing a round mark with a label for each state, the view uses the Map mark type to draw the outline of each state. While this works well for recognizable areas, it is not the best choice for areas that are similar in shape or difficult to recognize.
For more details on building maps, see Get Started Mapping with Tableauand Maps and Geographic Data Analysis in Tableau.
Pie mark
You can use the Pie mark to show proportions. Although generally this type of information can be better shown using stacked bar charts, there are cases where pie marks can be very effective—for example, when trying to convey the percentage allocation of marketing expenses by state where the spending of geographically close states are very relevant.
Tableau will never use the Pie mark as an automatic mark type, but you can select Pie from the Marks card drop-down menu.
When you select the Pie mark type, an additional target named Angle is displayed on the Marks card. The Angle target determines the angular measure of the pie wedges. For example, if you place a measure such as Sales on Angle on the Marks card, the 360 degrees of the pie corresponds to the total sum of sales, and each wedge is divided by the values of the field on Color on the Marks card.
The view below shows the time it took to ship products by various ship modes. The data overlays a map and shows data by state. We can see that standard class shipping takes the longest in most areas.
For details on how to build and use pie charts, see Build a Pie Chart and Get Started Mapping with Tableau.
Gantt Bar mark
The Marks card drop-down menu is set to Automatic and you place one or more dimensions on either the Columns shelf or the Rows shelf, and then plot the dimensions against a continuous quantity.
You select Gantt Bar from the Marks card drop-down menu.
The distinguishing characteristic of Gantt Bars is that the length of every mark is proportional to the measure placed on Size on the Marks card.
The view below displays a dimension as a function of a continuous date. If the Marks card drop-down menu is set to Automatic, the data would be displayed using bars. Selecting Gantt Bar and adding additional fields will display a view like the following.
In particular, placing the Days to Ship measure on Size on the Marks card causes every bar in the view to be drawn with a length that indicates the delivery time of an order. Additionally, placing the Ship Mode dimension on Color on the Marks card causes each bar to be colored according to the ship mode.
For details on how to build Gantt Bar chart, see Build a Gantt Chart.
Polygon mark
Polygons are points connected by lines enclosing an area. The polygon mark type is useful when you want to connect points to create data areas. Tableau displays data using polygons when you select Polygon from the Marks menu.
The polygon mark is not commonly used and often requires a specially constructed data source.
The view shown below comes from a specially constructed data source that holds geographic and election data. It displays the 48 contiguous US states as a function of latitude and longitude and color-encodes each state by the 2000 presidential election results.
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If Marks is set to Automatic, the data will be displayed using a shape. Manually selecting Polygon and adding additional fields to the view causes a different view to be created.
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Every state is considered to be a polygon in the data source. The PolygonID field on the Detail target is distinct for each US state. You can remove states from the view by filtering this field.
Additionally, you can specify the drawing order of the lines that constitute each polygon by placing a field on the Path target. In this example, the PointOrder measure is used to draw each state.
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Density mark (Heatmap)
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Navicat premium 11 2 9 download free. You can use the density mark to visualize patterns or trends in dense data with many overlapping marks. Although generally this type of information can be shown using a circle mark, there are cases where density marks can be very effective—for example, when there are many data points in an area, and you need to understand where those marks are most concentrated. The density mark can be used effectively with maps or charts that use point-based marks (scatterplots, unit histograms, box plots over individual marks, or point maps).
Tableau does this by grouping overlaying marks, and color-coding them based on the number of marks in the group.
Density marks work by using color to show the relative intensity of data in a given area of the chart. You can adjust the colors of the density mark by selecting Color from the Marks card. Choose from ten density color palettes, or any of the existing color palettes.
In the Color menu, use the Intensity slider to increase or decrease the vividness of the density marks. For example, increasing intensity, or vividness, lowers the 'max heat' spots in your data, so that more appear.
| Low Intensity (50%) | High Intensity (80%) |
The view shown below comes from a data source that contains many geographic points for one month of taxi pickups in Manhattan. It displays the location and frequency of taxi pickups, with lighter colors being most frequent.
Turntable 3 0 3. You can select Density from the Marks card drop-down menu.
For details on how to build a density map or a density chart, see Create Heatmaps that Show Trends or Density in Tableau and Build with Density Marks (Heatmap).
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