This question assesses the 3rd grade ability to represent weather data in tables and graphs, aligned with NGSS 3-ESS2-1: represent data to describe typical weather during a season. Representing weather data means displaying collected information in organized formats—tables or graphs—that make patterns easier to see and understand. Tables organize data in rows and columns with clear labels (Date | Temperature °F | Precipitation inches), showing exact numbers for multiple variables, useful when need specific values or tracking many factors. Graphs display data visually showing patterns at a glance: Line graphs connect points over time showing trends (temperature warming through spring), bar graphs compare categories or periods using bar heights (comparing sunny vs cloudy days or Week 1 vs Week 2 precipitation), pie charts show parts of whole (proportion of each weather type). Choose representation based on what you want to show: line graph for trend over time, bar graph for comparing categories/periods, table for detailed multi-variable data. Important features include: titles (what data shows—“April Temperatures”), labels (axes for graphs, column headers for tables), units (°F, inches), appropriate scale (range fitting data), clear organization making patterns visible. In this scenario, the weather data includes April high temperatures ranging from 45°F to 76°F, recorded daily but summarized by week, with a need for exact daily numbers. The data shows detailed daily values within the range. The appropriate representation would be a table because it lists exact numbers for each date clearly. Choice A is correct because it specifies an appropriate representation type, a table, for this data and includes essential features: columns for Date and High Temperature (°F), making values easy to find. For example, a table with labeled columns organizes daily highs so each value is precise and accessible. This representation makes the pattern of daily temperatures clear and easy to understand. Choice B is incorrect because it uses the wrong representation type for the pattern, a pie chart with 30 slices, which is cluttered and not suited for daily details or trends. Common error where students use any graph without considering what shows patterns best, forget labels making data unclear, put variables on wrong axes, don't include units, create display that doesn't reveal the pattern asked about. For example, pie chart with many slices doesn't show exact daily numbers well—need table for precise values. Effective representations match format to data type and pattern, include all necessary labels and units, and make pattern clearly visible. Help students represent weather data effectively: Teach representation selection: "Want to show change over time? Use line graph (connects points showing trend). Want to compare categories or time periods? Use bar graph (bars easy to compare). Want to show all details with multiple variables? Use table (organizes everything clearly)." Practice graph features: Title (what does it show?), Axis labels (what does each axis represent?), Units (°F? inches?), Appropriate scale (fit data range without huge gaps). For tables: Column headers (what's in each column), Units in headers, Organized rows (by date or category). Show examples: "This line graph clearly shows April temperature warming from 45°F to 76°F—see upward slope. This bar graph easily compares weather types—sunny bar tallest. This table organizes all weather details for each day." Have students create representations: Provide data, specify what pattern to show, students choose and create appropriate format. Emphasize: Representation should make pattern visible—if can't see pattern, format might be wrong choice or missing key features (labels, scale). Watch for: choosing wrong format (pie chart for trend, line graph for categories), forgetting labels/titles (unlabeled graph meaningless), wrong axes (time should go on x-axis), scale problems (too large or too small for data), missing units (temperature without °F unclear), disorganized tables (no headers, unclear structure).

This question assesses the 3rd grade skill of representing weather data in tables and graphs, aligned with NGSS 3-ESS2-1, which involves representing data to describe typical weather conditions during a particular season. Representing weather data means displaying collected information in organized formats like tables or graphs that make patterns easier to see and understand; tables organize data in rows and columns with clear labels, showing exact numbers for multiple variables, while graphs display data visually to highlight patterns at a glance, such as line graphs for trends over time, bar graphs for comparing categories, and pie charts for parts of a whole. Choosing the right representation depends on the data and pattern: use a line graph for changes over time, a bar graph for comparisons, or a table for detailed multi-variable data, always including titles, labels, units, and appropriate scales to make patterns visible. In this scenario, the weather data includes April high temperatures ranging from 45–55°F in Week 1 to 70–76°F in Week 4, showing a warming trend over the weeks. The appropriate representation would be a line graph because it connects points over time to reveal the temperature increase clearly. Choice A is correct because it specifies dates in April on the x-axis and temperature in °F on the y-axis, connecting points to show change, with essential features like proper axis labels and units; for example, this setup allows the line to slope upward, making the warming trend from early to late April visible and easy to understand. Choice B is incorrect because switching the axes with temperature on the x-axis and dates on the y-axis would not properly show the trend over time, a common error where students mix up axis assignments, leading to a graph that doesn't clearly reveal the pattern; effective representations place time on the x-axis for trends and include labels to make data interpretable. To help students represent weather data effectively, teach axis setup for line graphs: time like dates goes on the x-axis, and the variable like temperature on the y-axis, to show changes clearly. Practice with examples, having students label axes correctly and create graphs from data, emphasizing that wrong axes or missing labels make patterns hard to see.

This question assesses the 3rd grade ability to represent weather data in tables and graphs, aligned with NGSS 3-ESS2-1: represent data to describe typical weather during a season. Representing weather data means displaying collected information in organized formats—tables or graphs—that make patterns easier to see and understand. Tables organize data in rows and columns with clear labels (Date | Temperature °F | Precipitation inches), showing exact numbers for multiple variables, useful when need specific values or tracking many factors. Graphs display data visually showing patterns at a glance: Line graphs connect points over time showing trends (temperature warming through spring), bar graphs compare categories or periods using bar heights (comparing sunny vs cloudy days or Week 1 vs Week 2 precipitation), pie charts show parts of whole (proportion of each weather type). Choose representation based on what you want to show: line graph for trend over time, bar graph for comparing categories/periods, table for detailed multi-variable data. Important features include: titles (what data shows—“April Temperatures”), labels (axes for graphs, column headers for tables), units (°F, inches), appropriate scale (range fitting data), clear organization making patterns visible. In this scenario, the weather data includes temperature, precipitation, clouds, and dates for multiple days. The data shows patterns across these variables daily. The appropriate representation would be a table because it organizes multi-variable data with clear headers and rows for each day. Choice A is correct because it specifies an appropriate representation type, a table, for this data and includes essential features: headers Date | Temperature (°F) | Precipitation (in.) | Clouds, with rows for each day. For example, this table organizes all variables clearly, making daily details easy to see. This representation makes the pattern of weather variations clear and easy to understand. Choice B is incorrect because it lacks numbers and units, using vague terms like Hot/Cold without precise data. Common error where students use any graph without considering what shows patterns best, forget labels making data unclear, put variables on wrong axes, don't include units, create display that doesn't reveal the pattern asked about. For example, headers without numbers or units don't provide exact data—need specific values and units for clarity. Effective representations match format to data type and pattern, include all necessary labels and units, and make pattern clearly visible. Help students represent weather data effectively: Teach representation selection: "Want to show change over time? Use line graph (connects points showing trend). Want to compare categories or time periods? Use bar graph (bars easy to compare). Want to show all details with multiple variables? Use table (organizes everything clearly)." Practice graph features: Title (what does it show?), Axis labels (what does each axis represent?), Units (°F? inches?), Appropriate scale (fit data range without huge gaps). For tables: Column headers (what's in each column), Units in headers, Organized rows (by date or category). Show examples: "This line graph clearly shows April temperature warming from 45°F to 76°F—see upward slope. This bar graph easily compares weather types—sunny bar tallest. This table organizes all weather details for each day." Have students create representations: Provide data, specify what pattern to show, students choose and create appropriate format. Emphasize: Representation should make pattern visible—if can't see pattern, format might be wrong choice or missing key features (labels, scale). Watch for: choosing wrong format (pie chart for trend, line graph for categories), forgetting labels/titles (unlabeled graph meaningless), wrong axes (time should go on x-axis), scale problems (too large or too small for data), missing units (temperature without °F unclear), disorganized tables (no headers, unclear structure).

This question assesses the 3rd grade skill of representing weather data in tables and graphs, aligned with NGSS 3-ESS2-1, which involves representing data to describe typical weather conditions during a particular season. Representing weather data means displaying collected information in organized formats like tables or graphs that make patterns easier to see and understand; tables organize data in rows and columns with clear labels, showing exact numbers for multiple variables, while graphs display data visually to highlight patterns at a glance, such as line graphs for trends over time, bar graphs for comparing categories, and pie charts for parts of a whole. Choosing the right representation depends on the data and pattern: use a line graph for changes over time, a bar graph for comparisons, or a table for detailed multi-variable data, always including titles, labels, units, and appropriate scales to make patterns visible. In this scenario, the weather data includes March cloud cover counts: Sunny 8, Partly cloudy 12, Cloudy 9, Rainy 2, showing distribution that needs easy comparison of types. The appropriate representation would be a bar graph because bar heights allow quick visual comparison of day counts across categories. Choice A is correct because it specifies a bar graph with weather types on the x-axis and number of days on the y-axis, including essential features like axis labels; for example, the tallest bar for partly cloudy makes comparing frequencies straightforward. Choice D is incorrect because a pie chart labeled with rain inches instead of days mismatches the count data, a common error in labeling; effective representations use accurate labels for clear patterns. To help students represent weather data effectively, teach bar graphs for comparisons: types on x-axis, counts on y-axis for bar height differences. Practice creating labeled graphs, watching for label errors that hide patterns like type frequencies.

This question tests 3rd grade ability to represent weather data in tables and graphs (NGSS 3-ESS2-1: represent data to describe typical weather during season). Representing weather data means displaying collected information in organized formats—tables or graphs—that make patterns easier to see and understand. Tables organize data in rows and columns with clear labels (Date | Temperature °F | Precipitation inches), showing exact numbers for multiple variables, useful when need specific values or tracking many factors. Graphs display data visually showing patterns at a glance: Line graphs connect points over time showing trends (temperature warming through spring), bar graphs compare categories or periods using bar heights (comparing sunny vs cloudy days or Week 1 vs Week 2 precipitation), pie charts show parts of whole (proportion of each weather type). In this scenario, Keisha has September rain data and wants to compare weekly totals. The data shows precipitation amounts summarized by week for comparison. The appropriate representation would be a bar graph because it best compares separate time periods (weeks). Choice A is correct because it specifies a bar graph with Week 1-4 on the x-axis and precipitation (inches) on the y-axis. For example, a bar graph shows four bars—if Week 1 had 2.5 inches, Week 2 had 0.8 inches, Week 3 had 3.2 inches, and Week 4 had 1.1 inches, the bars' different heights make it visually clear that Week 3 was rainiest and Week 2 driest. This representation makes the weekly precipitation comparison pattern clear and easy to understand. Choice B is incorrect because it suggests a line graph with weather types on x-axis, but weather types are categories that can't be connected with lines, and this doesn't show rain amounts. Common error where students use wrong graph type for the data. Choice C proposes a pie chart with each rainy day as a slice, but this doesn't show amounts or allow week comparison. Choice D suggests a table mixing weeks in same row without dates, destroying the organization needed for comparison. Help students represent weather data effectively: Teach choosing representations for comparisons: "Want to compare time periods (weeks)? Use bar graph—easy to see which bar is tallest." Practice organizing before graphing: "First organize data by week, calculate totals, then create bars showing each week's total." Emphasize clear categories: each bar represents one complete week, making fair comparison possible.

This question assesses the 3rd grade ability to represent weather data in tables and graphs, aligned with NGSS 3-ESS2-1: represent data to describe typical weather during a season. Representing weather data means displaying collected information in organized formats—tables or graphs—that make patterns easier to see and understand. Tables organize data in rows and columns with clear labels (Date | Temperature °F | Precipitation inches), showing exact numbers for multiple variables, useful when need specific values or tracking many factors. Graphs display data visually showing patterns at a glance: Line graphs connect points over time showing trends (temperature warming through spring), bar graphs compare categories or periods using bar heights (comparing sunny vs cloudy days or Week 1 vs Week 2 precipitation), pie charts show parts of whole (proportion of each weather type). Choose representation based on what you want to show: line graph for trend over time, bar graph for comparing categories/periods, table for detailed multi-variable data. Important features include: titles (what data shows—“April Temperatures”), labels (axes for graphs, column headers for tables), units (°F, inches), appropriate scale (range fitting data), clear organization making patterns visible. In this scenario, the weather data includes September weekly rain totals: Week 1 0.7, Week 2 1.9, Week 3 0.3, Week 4 1.0 inches. The data shows a pattern of variation in precipitation, with Week 2 having the most rain. The appropriate representation would be a bar graph because it compares totals across weeks using bar heights. Choice A is correct because it specifies an appropriate representation type, a bar graph, for this data and includes essential features: weeks on the x-axis, precipitation (inches) on the y-axis. For example, a bar graph comparing weeks visually shows Week 2 with the tallest bar. This representation makes the pattern of precipitation totals across weeks clear and easy to understand. Choice C is incorrect because it uses the wrong representation type for the pattern, a pie chart for totals which aren't parts of a single whole, missing comparison visibility. Common error where students use any graph without considering what shows patterns best, forget labels making data unclear, put variables on wrong axes, don't include units, create display that doesn't reveal the pattern asked about. For example, pie chart showing inches as slices doesn't work for comparing separate weekly totals—need bar graph for easy height comparisons. Effective representations match format to data type and pattern, include all necessary labels and units, and make pattern clearly visible. Help students represent weather data effectively: Teach representation selection: "Want to show change over time? Use line graph (connects points showing trend). Want to compare categories or time periods? Use bar graph (bars easy to compare). Want to show all details with multiple variables? Use table (organizes everything clearly)." Practice graph features: Title (what does it show?), Axis labels (what does each axis represent?), Units (°F? inches?), Appropriate scale (fit data range without huge gaps). For tables: Column headers (what's in each column), Units in headers, Organized rows (by date or category). Show examples: "This line graph clearly shows April temperature warming from 45°F to 76°F—see upward slope. This bar graph easily compares weather types—sunny bar tallest. This table organizes all weather details for each day." Have students create representations: Provide data, specify what pattern to show, students choose and create appropriate format. Emphasize: Representation should make pattern visible—if can't see pattern, format might be wrong choice or missing key features (labels, scale). Watch for: choosing wrong format (pie chart for trend, line graph for categories), forgetting labels/titles (unlabeled graph meaningless), wrong axes (time should go on x-axis), scale problems (too large or too small for data), missing units (temperature without °F unclear), disorganized tables (no headers, unclear structure).

This question tests 3rd grade ability to represent weather data in tables and graphs (NGSS 3-ESS2-1: represent data to describe typical weather during season). Representing weather data means displaying collected information in organized formats—tables or graphs—that make patterns easier to see and understand. Tables organize data in rows and columns with clear labels (Date | Temperature °F | Precipitation inches), showing exact numbers for multiple variables, useful when need specific values or tracking many factors. Graphs display data visually showing patterns at a glance: Line graphs connect points over time showing trends (temperature warming through spring), bar graphs compare categories or periods using bar heights (comparing sunny vs cloudy days or Week 1 vs Week 2 precipitation), pie charts show parts of whole (proportion of each weather type). In this scenario, Amir recorded multiple variables: date, temperature, precipitation, and clouds. The data includes different types of weather information that need to be organized together. The appropriate representation would be a table because it can display multiple variables clearly for each date. Choice A is correct because it specifies rows for each date and columns for Temperature (°F), Precipitation (inches), and Clouds/Weather type—organizing all variables with proper units. For example, a table shows: April 1 | 45°F | 0.5 inches | Cloudy; April 2 | 48°F | 0 inches | Partly Cloudy—making it easy to see all weather conditions for any date and compare across days. This representation makes multiple weather patterns visible and easy to understand. Choice B is incorrect because one long sentence without structure makes it impossible to find specific information or see patterns. Common error where students don't understand need for organized structure. Choice C suggests a line graph mixing inches and temperature on one axis, but different units can't share an axis—would be like mixing apples and oranges. Choice D proposes a bar graph with dates out of order, deliberately hiding patterns that organized data should reveal. Help students represent weather data effectively: For multiple variables, teach table organization: "Each row = one date, each column = one type of measurement, always include units." Practice reading tables: "What was the weather on April 5? Look across that row to see all information." Emphasize that good data representation makes patterns visible, not hidden—organize to help understanding!

This question assesses the 3rd grade ability to represent weather data in tables and graphs, aligned with NGSS 3-ESS2-1: represent data to describe typical weather during a season. Representing weather data means displaying collected information in organized formats—tables or graphs—that make patterns easier to see and understand. Tables organize data in rows and columns with clear labels (Date | Temperature °F | Precipitation inches), showing exact numbers for multiple variables, useful when need specific values or tracking many factors. Graphs display data visually showing patterns at a glance: Line graphs connect points over time showing trends (temperature warming through spring), bar graphs compare categories or periods using bar heights (comparing sunny vs cloudy days or Week 1 vs Week 2 precipitation), pie charts show parts of whole (proportion of each weather type). Choose representation based on what you want to show: line graph for trend over time, bar graph for comparing categories/periods, table for detailed multi-variable data. Important features include: titles (what data shows—“April Temperatures”), labels (axes for graphs, column headers for tables), units (°F, inches), appropriate scale (range fitting data), clear organization making patterns visible. In this scenario, the weather data includes daily December details: dates, high/low °F, snow inches, and clouds. The data shows patterns across multiple variables like temperature ranges and precipitation. The appropriate representation would be a table because it organizes detailed multi-variable data clearly for each day. Choice B is correct because it specifies an appropriate representation type, a table, for this data and includes essential features: columns for Date, High (°F), Low (°F), Precipitation (in.), Clouds. For example, a table with labeled columns organizes all variables making it easy to see daily details like highs, lows, and snow. This representation makes the pattern of daily weather variations clear and easy to understand. Choice A is incorrect because it is disorganized, using one column to mix numbers and words, with no clear labels or separation. Common error where students use any graph without considering what shows patterns best, forget labels making data unclear, put variables on wrong axes, don't include units, create display that doesn't reveal the pattern asked about. For example, mixing everything in one column doesn't organize data clearly—reader can't tell highs from lows or precipitation. Effective representations match format to data type and pattern, include all necessary labels and units, and make pattern clearly visible. Help students represent weather data effectively: Teach representation selection: "Want to show change over time? Use line graph (connects points showing trend). Want to compare categories or time periods? Use bar graph (bars easy to compare). Want to show all details with multiple variables? Use table (organizes everything clearly)." Practice graph features: Title (what does it show?), Axis labels (what does each axis represent?), Units (°F? inches?), Appropriate scale (fit data range without huge gaps). For tables: Column headers (what's in each column), Units in headers, Organized rows (by date or category). Show examples: "This line graph clearly shows April temperature warming from 45°F to 76°F—see upward slope. This bar graph easily compares weather types—sunny bar tallest. This table organizes all weather details for each day." Have students create representations: Provide data, specify what pattern to show, students choose and create appropriate format. Emphasize: Representation should make pattern visible—if can't see pattern, format might be wrong choice or missing key features (labels, scale). Watch for: choosing wrong format (pie chart for trend, line graph for categories), forgetting labels/titles (unlabeled graph meaningless), wrong axes (time should go on x-axis), scale problems (too large or too small for data), missing units (temperature without °F unclear), disorganized tables (no headers, unclear structure).

This question assesses the 3rd grade ability to represent weather data in tables and graphs, aligned with NGSS 3-ESS2-1: represent data to describe typical weather during a season. Representing weather data means displaying collected information in organized formats—tables or graphs—that make patterns easier to see and understand. Tables organize data in rows and columns with clear labels (Date | Temperature °F | Precipitation inches), showing exact numbers for multiple variables, useful when need specific values or tracking many factors. Graphs display data visually showing patterns at a glance: Line graphs connect points over time showing trends (temperature warming through spring), bar graphs compare categories or periods using bar heights (comparing sunny vs cloudy days or Week 1 vs Week 2 precipitation), pie charts show parts of whole (proportion of each weather type). Choose representation based on what you want to show: line graph for trend over time, bar graph for comparing categories/periods, table for detailed multi-variable data. Important features include: titles (what data shows—“April Temperatures”), labels (axes for graphs, column headers for tables), units (°F, inches), appropriate scale (range fitting data), clear organization making patterns visible. In this scenario, the weather data includes messy September rain data with dates, precipitation inches, and weekly totals, showing variation in rainfall amounts. The data shows a pattern of precipitation variation across dates and weeks. The appropriate representation would be a table because it organizes detailed multi-variable data like dates, inches, and totals clearly. Choice A is correct because it specifies an appropriate representation type, a table, for this data and includes essential features: columns for Date, Precipitation (inches), Week total, and adding totals. For example, a table with labeled columns organizes all variables (dates, precipitation, totals) making it easy to see daily details and weekly sums. This representation makes the pattern of precipitation totals clear and easy to understand. Choice B is incorrect because it uses the wrong representation type for the pattern, a line graph with weather types instead of dates or weeks, missing organization for totals. Common error where students use any graph without considering what shows patterns best, forget labels making data unclear, put variables on wrong axes, don't include units, create display that doesn't reveal the pattern asked about. For example, line graph with weather types on x-axis doesn't work for rain totals over time or weeks—need table to show exact numbers and sums. Effective representations match format to data type and pattern, include all necessary labels and units, and make pattern clearly visible. Help students represent weather data effectively: Teach representation selection: "Want to show change over time? Use line graph (connects points showing trend). Want to compare categories or time periods? Use bar graph (bars easy to compare). Want to show all details with multiple variables? Use table (organizes everything clearly)." Practice graph features: Title (what does it show?), Axis labels (what does each axis represent?), Units (°F? inches?), Appropriate scale (fit data range without huge gaps). For tables: Column headers (what's in each column), Units in headers, Organized rows (by date or category). Show examples: "This line graph clearly shows April temperature warming from 45°F to 76°F—see upward slope. This bar graph easily compares weather types—sunny bar tallest. This table organizes all weather details for each day." Have students create representations: Provide data, specify what pattern to show, students choose and create appropriate format. Emphasize: Representation should make pattern visible—if can't see pattern, format might be wrong choice or missing key features (labels, scale). Watch for: choosing wrong format (pie chart for trend, line graph for categories), forgetting labels/titles (unlabeled graph meaningless), wrong axes (time should go on x-axis), scale problems (too large or too small for data), missing units (temperature without °F unclear), disorganized tables (no headers, unclear structure).

This question assesses the 3rd grade ability to represent weather data in tables and graphs, aligned with NGSS 3-ESS2-1: represent data to describe typical weather during a season. Representing weather data means displaying collected information in organized formats—tables or graphs—that make patterns easier to see and understand. Tables organize data in rows and columns with clear labels (Date | Temperature °F | Precipitation inches), showing exact numbers for multiple variables, useful when need specific values or tracking many factors. Graphs display data visually showing patterns at a glance: Line graphs connect points over time showing trends (temperature warming through spring), bar graphs compare categories or periods using bar heights (comparing sunny vs cloudy days or Week 1 vs Week 2 precipitation), pie charts show parts of whole (proportion of each weather type). Choose representation based on what you want to show: line graph for trend over time, bar graph for comparing categories/periods, table for detailed multi-variable data. Important features include: titles (what data shows—“April Temperatures”), labels (axes for graphs, column headers for tables), units (°F, inches), appropriate scale (range fitting data), clear organization making patterns visible. In this scenario, the weather data includes counts of October days by type: Sunny 12, Partly cloudy 10, Cloudy 7, Rainy 2, totaling 31 days. The data shows a pattern where sunny days are most common, followed by partly cloudy. The appropriate representation would be a pie chart because it shows proportions of each weather type as parts of the whole month. Choice B is correct because it specifies an appropriate representation type, a pie chart, for this data and includes essential features: showing each weather type’s part of the whole. For example, a pie chart visually shows sunny days as the largest slice, making proportions easy to compare. This representation makes the pattern of weather type distribution clear and easy to understand. Choice A is incorrect because it uses the wrong representation type for the pattern, a line graph with dates but no data points, missing organization and visibility. Common error where students use any graph without considering what shows patterns best, forget labels making data unclear, put variables on wrong axes, don't include units, create display that doesn't reveal the pattern asked about. For example, line graph without data points doesn't show counts or proportions—need pie chart for parts of whole. Effective representations match format to data type and pattern, include all necessary labels and units, and make pattern clearly visible. Help students represent weather data effectively: Teach representation selection: "Want to show change over time? Use line graph (connects points showing trend). Want to compare categories or time periods? Use bar graph (bars easy to compare). Want to show all details with multiple variables? Use table (organizes everything clearly)." Practice graph features: Title (what does it show?), Axis labels (what does each axis represent?), Units (°F? inches?), Appropriate scale (fit data range without huge gaps). For tables: Column headers (what's in each column), Units in headers, Organized rows (by date or category). Show examples: "This line graph clearly shows April temperature warming from 45°F to 76°F—see upward slope. This bar graph easily compares weather types—sunny bar tallest. This table organizes all weather details for each day." Have students create representations: Provide data, specify what pattern to show, students choose and create appropriate format. Emphasize: Representation should make pattern visible—if can't see pattern, format might be wrong choice or missing key features (labels, scale). Watch for: choosing wrong format (pie chart for trend, line graph for categories), forgetting labels/titles (unlabeled graph meaningless), wrong axes (time should go on x-axis), scale problems (too large or too small for data), missing units (temperature without °F unclear), disorganized tables (no headers, unclear structure).