Scatter Plots - Revision history

Velez105 at 05:01, 9 December 2025

2025-12-09T05:01:33Z

2025-11-24T22:23:11Z

‎How to label the dots on a scatter plot in Google Sheets

2025-11-24T21:59:00Z

‎How to label the dots on a scatter plot in Google Sheets

2025-11-24T21:50:32Z

‎How to label the dots on a scatter plot in Google Sheets

2025-11-24T20:15:54Z

‎How to label the dots on a scatter plot in Google Sheets

2025-11-24T20:15:25Z

‎How to label the dots on a scatter plot in Google Sheets

2025-11-24T20:14:33Z

‎How to label the dots on a scatter plot in Google Sheets

2025-11-24T20:13:34Z

‎How to label the dots on a scatter plot in Google Sheets

2025-11-24T20:13:04Z

‎How to label the dots on a scatter plot in Google Sheets

2025-11-24T20:12:42Z

‎How to label the dots on a scatter plot in Google Sheets

← Older revision		Revision as of 05:01, 9 December 2025
Line 93:		Line 93:

	''contributed by Katie Ciskowski''		''contributed by Katie Ciskowski''
		+
		+	[[Scatter Plots]]
		+	A type of graph that uses dots to represent values for two different numeric variables, showing the relationship (correlation, patterns, clusters, outliers) between them, with one variable on the x-axis (independent) and the other on the y-axis (dependent). It helps visualize whether variables increase together (positive correlation), decrease together (negative correlation), or show no clear pattern, revealing trends not evident in the raw data.
		+
		+	== Key Components & How it Works ==
		+	1. Variables: Two different continuous variables are used, one for the horizontal (x) axis and one for the vertical (y) axis.
		+	2. Data Points: Each pair of (x, y) values from your data becomes a single dot on the graph.
		+	3. Axes: The x-axis usually shows the independent variable (what you change), and the y-axis shows the dependent variable (what’s affected).
		+	What It Shows
		+	Positive Correlation
		+	Negative Correlation
		+	No Correlation
		+	Cluster/Gaps
		+	Outliers
		+	Trend Lines
		+	== Main Purpose of Scatter Plots ==
		+	1) To visually test relationships or associations between variables, notes Coursera.
		+	2) To identify patterns, trends, and anomalies in data.
		+	3) To support or disprove hypotheses about how variables interact.
		+
		+	‘ ‘contributed by Jerry Velez’ ’

@@ Line 55: / Line 55: @@
 Helpful hint:
-If the some labels do not show up at the top of the chart, change the y axis by a half or one point and the data tags will become visible.
+If some of the labels do not show up at the top of the chart, change the y axis by a half or one point and the data tags will become visible.
 ''contributed by Sara Dalton''

@@ Line 52: / Line 52: @@
 | Step 5
 | Under series, select or type in the range of the third column that contains the labels
+|}
 Helpful hint:
 If the some labels do not show up at the top of the chart, change the y axis by a half or one point and the data tags will become visible.
 ''contributed by Sara Dalton''

@@ Line 52: / Line 52: @@
 | Step 5
 | Under series, select or type in the range of the third column that contains the labels
-|-
-}Helpful hint:
+Helpful hint:
 If the some labels do not show up at the top of the chart, change the y axis by a half or one point and the data tags will become visible.

@@ Line 51: / Line 51: @@
 |-
 | Step 5
-| Under series, select or type in the range of the third column that contains the labels}
+| Under series, select or type in the range of the third column that contains the labels
-|-}
+|-
-Helpful hint:
+}Helpful hint:
 If the some labels do not show up at the top of the chart, change the y axis by a half or one point and the data tags will become visible.

← Older revision		Revision as of 20:13, 24 November 2025
Line 53:		Line 53:
	\| Under series, select or type in the range of the third column that contains the labels		\| Under series, select or type in the range of the third column that contains the labels
	\|-		\|-
−		+	}

	Helpful hint:		Helpful hint: