请将我上传的内容做成教学视频---**Title:**
7 折线统计图
**Statement 1:**
1 下面是 1998—2021年全国总人口数统计情况。
**Table:**
| 年份 | 总人口数/万人 |
|---|---|
| 1998 | 124761 |
| 1999 | 125786 |
| 2000 | 126743 |
| 2001 | 127627 |
| 2002 | 128453 |
| 2003 | 129227 |
| 2004 | 129988 |
| 2005 | 130756 |
| 2006 | 131448 |
| 2007 | 132129 |
| 2008 | 132802 |
| 2009 | 133450 |
| 2010 | 134091 |
| 2011 | 134916 |
| 2012 | 135922 |
| 2013 | 136726 |
| 2014 | 137646 |
| 2015 | 138326 |
| 2016 | 139232 |
| 2017 | 140011 |
| 2018 | 140541 |
| 2019 | 141008 |
| 2020 | 141212 |
| 2021 | 141260 |
**Chart Description 1 (Bar Chart):**
Type: Bar chart.
Title: 1998—2021年全国总人口数统计图
X-axis: 年份 (Year), labeled from 1998 to 2021.
Y-axis: 人口数/万人 (Population/Ten Thousand People), scale from 0, with a break between 0 and 120000, then continuing with tick marks at 120000, 125000, 130000, 135000, 140000, 145000.
Main Elements: Blue vertical bars representing the total population for each year from 1998 to 2021, showing an increasing trend.
**Statement:**
我们还可以绘制出下面的折线统计图。
**Chart Description 2 (Line Chart):**
Type: Line chart.
Title: 1998—2021年全国总人口数统计图
X-axis: 年份 (Year), labeled from 1998 to 2021.
Y-axis: 人口数/万人 (Population/Ten Thousand People), scale from 0, with a break between 0 and 120000, then continuing with tick marks at 120000, 125000, 130000, 135000, 140000, 145000.
Main Elements: Blue data points connected by blue lines, representing the total population for each year from 1998 to 2021. The points correspond to the top of the bars in the bar chart, and the line shows a continuous increasing trend in population.
**Other Relevant Text:**
Page Number: 104
**Textual Information:**
观察折线统计图，回答下面的问题。
(1) 折线统计图的点、线分别表示什么？
(2) 我国总人口数是怎样变化的？
(3) 折线统计图和条形统计图有什么不同？
[Speech bubble 1]: 折线统计图用高低不同的点来表示数据的多少，通过点与点的连线能看出变化……
[Speech bubble 2]: 从折线看，我国总人口数是逐年上升的，但是上升的幅度越来越小……
条形统计图可以直观地呈现数据的多少，折线统计图能清楚地看到数据的变化趋势。
观察总人口数变化的趋势，你有什么想法？
做一做
1
2009—2021年我国高铁营业里程统计图
(1) 2009—2021年我国高铁营业里程是怎样变化的？
(2) 哪一年比前一年的高铁营业里程增加的最多？
(3) 从统计图中还能发现什么？
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**Chart/Diagram Description:**
* **Type:** Line chart.
* **Title:** 2009—2021年我国高铁营业里程统计图 (2009-2021 China High-Speed Rail Operating Mileage Statistics Chart).
* **Coordinate Axes:**
* X-axis: Labeled "年份" (Year). Scale shows years from 2009 to 2021 at regular intervals.
* Y-axis: Labeled "营业里程/km" (Operating Mileage/km). Scale ranges from 0 to 50000 km in increments of 5000 km. An arrow indicates increasing values.
* **Data Points/Series:** A series of green points connected by a curved green line. Each point represents the operating mileage in a specific year. Data point values are labeled next to each point:
* 2009: 2699
* 2010: 5133
* 2011: 6601
* 2012: 9356
* 2013: 11028
* 2014: 16456
* 2015: 19838
* 2016: 22980
* 2017: 25164
* 2018: 29904
* 2019: 35388
* 2020: 37929
* 2021: 40156
* **Line:** A curved line connects the data points, showing a generally increasing trend in operating mileage from 2009 to 2021.
* **Other Elements:** Two cartoon figures (a girl and a boy) are shown with speech bubbles containing descriptive text related to line charts.
Here is the extracted content from the image:
**Title:**
2012—2021年某地青少年机器人大赛参赛队伍数统计表
**Image Description:**
An illustrative drawing showing a robotics competition scene. It depicts a competition arena with robots, and several young people (participants or spectators) around it. There is a red flag planted in the arena. Some text is visible on the side of the arena platform, possibly indicating the event name.
**Table:**
| 年份 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
| :----------- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 参赛队伍/支 | 128 | 123 | 137 | 168 | 175 | 190 | 212 | 203 | 247 | 264 |
**Instructions:**
根据统计表中的数据绘制折线统计图, 并回答下面的问题。
**Chart Grid Description:**
A grid is provided for drawing a line chart.
Title: 2012—2021年某地青少年机器人大赛参赛队伍数统计图
Y-axis label: 参赛队伍/支 (Number of participating teams / teams)
Y-axis scale: Marked at 0, 50, 100, 150, 200, 250, 300.
X-axis label: 年份 (Year)
X-axis scale: Marked at 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021.
The grid has horizontal lines corresponding to the Y-axis scale marks and vertical lines corresponding to the X-axis year marks. An arrow points upwards from the Y-axis and an arrow points rightwards from the X-axis.
**Questions:**
(1) 哪一年参赛队伍最多? 哪一年参赛队伍比上一年增加的最多?
(2) 2012—2021年该地青少年机器人大赛参赛队伍的数量是怎样变化的? 你有什么感想?
**Page Number:**
106
**Question/Task Number:** 2
**Introduction/Question Stem:**
下面是1998—2021年全国出生人口数和死亡人口数的变化情况。
(Translation: Below is the change in the number of births and deaths in China from 1998 to 2021.)
**Table Content:**
| 年份 (Year) | 1998 | 1999 | 2000 | 2001 | 2002 | 2003 | 2004 | 2005 | 2006 | 2007 | 2008 | 2009 |
| :------------------- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- | :--- |
| 出生人口/万人 (Births / 10k people) | 1933 | 1826 | 1764 | 1702 | 1647 | 1599 | 1593 | 1617 | 1584 | 1594 | 1608 | 1615 |
| 死亡人口/万人 (Deaths / 10k people) | 803 | 805 | 811 | 818 | 821 | 825 | 832 | 849 | 892 | 913 | 935 | 943 |
| 年份 (Year) | 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
| 出生人口/万人 (Births / 10k people) | 1574 | 1604 | 1635 | 1640 | 1667 | 1655 | 1786 | 1723 | 1523 | 1465 | 1200 | 1062 |
| 死亡人口/万人 (Deaths / 10k people) | 967 | 960 | 966 | 972 | 977 | 975 | 977 | 986 | 993 | 998 | 996 | 1014 |
**Chart Description 1:**
* **Type:** Line chart.
* **Title:** 1998—2021年全国出生人口数统计图 (1998-2021 National Births Statistical Chart).
* **Coordinate Axes:**
* Y-axis: 人口数/万人 (Population / 10k people), Scale from 0 to 2000, marked at 500, 1000, 1500, 2000.
* X-axis: 年份 (Year), Marked with years from 1998 to 2021, evenly spaced. The axis is an arrow pointing right, labeled "年份".
* **Data Series:** A series of blue data points connected by lines, representing the number of births each year from 1998 to 2021. The line shows a general downward trend with some fluctuations, notably an increase around 2016-2017 followed by a sharp decline.
**Chart Description 2:**
* **Type:** Line chart.
* **Title:** 1998—2021年全国死亡人口数统计图 (1998-2021 National Deaths Statistical Chart).
* **Coordinate Axes:**
* Y-axis: 人口数/万人 (Population / 10k people), Scale from 0 to 2000, marked at 500, 1000, 1500, 2000.
* X-axis: 年份 (Year), Marked with years from 1998 to 2021, evenly spaced. The axis is an arrow pointing right, labeled "年份".
* **Data Series:** A series of orange data points connected by lines, representing the number of deaths each year from 1998 to 2021. The line shows a general upward trend.
**Annotations/Other Text:**
* Speech bubble 1 (from a female figure): 从图中可以看出，出生人口数呈下降趋势，而死亡人口数…… (Translation: As can be seen from the chart, the number of births shows a downward trend, while the number of deaths...)
* Speech bubble 2 (from a male figure): 制成复式折线统计图进行对比，看看能不能有更多的发现。 (Translation: Create a multiple line chart for comparison to see if more can be discovered.)
* Page Number: 107
Here is the extracted content from the image:
下面是绘制好的复式折线统计图。
1998—2021年全国出生人口数和死亡人口数统计图
**Chart Description 1:**
* Type: Double line chart.
* Title: 1998—2021年全国出生人口数和死亡人口数统计图 (1998-2021 National Birth Population and Death Population Statistics Chart)
* X-axis: 年份 (Year), labeled from 1998 to 2021.
* Y-axis: 人口数/万人 (Population / Ten Thousand People), scale from 0 to 2000 in increments of 500.
* Legend: 出生人口 (Birth Population) - blue line with circles; 死亡人口 (Death Population) - orange line with circles.
* Trend Observation 1 (Speech bubble from a person): 随着时间变化，上下两个点越来越接近了……也就是说出生人口数和死亡人口数的差越来越小。 (As time changes, the two points (lines) are getting closer and closer... which means the difference between the birth population and the death population is getting smaller and smaller.)
* Trend Observation 2 (Speech bubble from a person): 按照这个趋势…… (Following this trend...)
* Annotation (Speech bubble from a robot): 出生人口数减去死亡人口数的差是人口自然增长数。 (The difference between the birth population and the death population is the natural population growth.)
讨论一下：数据统计和统计图对我们有什么帮助？
(Discuss: How do data statistics and statistical charts help us?)
做一做 (Do it)
2013—2021年北京市空气优良和重污染天数统计图
**Chart Description 2:**
* Type: Double line chart.
* Title: 2013—2021年北京市空气优良和重污染天数统计图 (2013-2021 Beijing Air Quality Good/Excellent and Heavily Polluted Days Statistics Chart)
* X-axis: 年份 (Year), labeled from 2013 to 2021.
* Y-axis: 天数 (Days), scale from 0 to 300 in increments of 60.
* Legend: 优良 (Good/Excellent) - green line with circles; 重污染 (Heavily Polluted) - orange line with circles.
* Data Points (优良 - Good/Excellent days): 2013: 176, 2014: 172, 2015: 186, 2016: 198, 2017: 226, 2018: 227, 2019: 240, 2020: 276, 2021: 288.
* Data Points (重污染 - Heavily Polluted days): 2013: 58, 2014: 47, 2015: 46, 2016: 39, 2017: 23, 2018: 15, 2019: 4, 2020: 0, 2021: 8.
**(1) 2013—2021年北京市空气优良天数是怎样变化的？重污染天数呢？**
((1) How did the number of good/excellent air quality days in Beijing change from 2013 to 2021? How about the number of heavily polluted days?)
**(2) 观察复式折线统计图，你还有什么发现？**
((2) Observing the double line chart, what else have you discovered?)
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练习二十六
1. 2012—2021年我国国内生产总值（GDP）统计图
* 图表类型：折线统计图
* 图表描述：
* 横轴表示年份，从2012年到2021年。
* 纵轴表示国内生产总值/亿兀，刻度从0到1200000，每隔200000有一个刻度。
* 数据点及数值（年份，国内生产总值/亿兀）：
* 2012: 538580.0
* 2013: 592963.2
* 2014: 643563.1
* 2015: 688858.2
* 2016: 746395.1
* 2017: 832035.9
* 2018: 919281.1
* 2019: 986515.2
* 2020: 1015986.2
* 2021: 1143669.7
* 曲线连接这些数据点，显示了国内生产总值的变化趋势。
* 图上有一个标注：“国内生产总值是衡量经济规模和发展水平的重要指标。”
* 问题：
* (1) 哪一年我国国内生产总值突破了100万亿元?
* (2) 2012—2021年我国国内生产总值是怎样变化的?
* (3) 观察折线统计图, 你还获得了哪些信息?
2. 下表是小东0~10岁的身高情况, 根据表中的数据绘制折线统计图。
* 表格：
* 表头：年龄 | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10
* 数据：身高/cm | 50 | 76 | 88 | 97 | 104 | 111 | 118 | 124 | 130 | 135 | 141
* 图表区域描述：
* 预留的方格纸区域，用于绘制折线图。
* 图表标题：小东0~10岁身高情况统计图
* 横轴标签：年龄，刻度从0到10。
* 纵轴标签：身高/cm，刻度从0到150，每隔10有一个刻度。
* 问题：
* (1) 小东哪一年长得最快? 这一年长了多少厘米?
* (2) 收集、整理你自己的身高数据, 利用方格纸绘制折线统计图, 说一说你发现了什么。
页面底部页码：109
**Question 3**
**Title:** 甲、乙两地月平均气温统计图 (Monthly Average Temperature Statistics for Locations A and B)
**Chart Description:**
* **Type:** Line chart with markers.
* **Main Elements:**
* **Coordinate Axes:**
* X-axis: Labeled "月份" (Month), shows values from 1 to 12.
* Y-axis: Labeled "气温/℃" (Temperature/°C), shows values from 0 to 33 with tick marks every 3 units.
* **Data Series:** Two lines representing monthly average temperatures for two locations.
* Location A (甲地): Represented by a green line with green circle markers. Data points have labels showing the approximate temperature values.
* Location B (乙地): Represented by an orange line with orange circle markers. Data points have labels showing the approximate temperature values.
* **Legend:** A box containing a green circle labeled "甲地" (Location A) and an orange circle labeled "乙地" (Location B).
* **Approximate Data Points (from labels):**
* Location A: (1, 3), (2, 5), (3, 10), (4, 16.1), (5, 21.3), (6, 25.7), (7, 28.4), (8, 28.1), (9, 23.3), (10, 17.5), (11, 11.1), (12, 5.4).
* Location B: (1, 17), (2, 18), (3, 22), (4, 24.9), (5, 27.4), (6, 28.1), (7, 28.8), (8, 28.2), (9, 26.8), (10, 24.8), (11, 21.8), (12, 18.7).
**Questions:**
(1) 根据统计图, 你能说一说两地一年中气温变化的趋势吗？ (Based on the statistical chart, can you talk about the trend of temperature changes in the two locations throughout the year?)
(2) 有一种树莓的生长期为5个月, 适宜的生长温度为7~10℃, 这种植物适合在哪个地方种植? (A type of raspberry has a growth period of 5 months, and the suitable growth temperature is 7-10°C. Which location is suitable for planting this plant?)
(3) 小明住在乙地, 他们一家要在“十一”黄金周去甲地旅游, 你认为他们应该做哪些准备? (Xiaoming lives in location B. His family plans to travel to location A during the "Eleventh" Golden Week. What preparations do you think they should make?)
---
**Question 4**
**Title:** 下面是某地区7~15岁男生、女生平均身高统计表。 (Below is the statistical table of the average height of boys and girls aged 7-15 in a certain area.)
**Table Content:**
| 年龄 (Age) | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 |
| :------------------ | :-- | :-- | :-- | :-- | :-- | :-- | :-- | :-- | :-- |
| 男生身高/cm (Boy's average height/cm) | 125 | 132 | 136 | 140 | 145 | 152 | 160 | 166 | 170 |
| 女生身高/cm (Girl's average height/cm) | 123 | 128 | 135 | 141 | 147 | 153 | 156 | 158 | 160 |
**Instruction:**
请你根据表中的数据, 绘制复式折线统计图。 (Please draw a composite line chart based on the data in the table.)
**Chart Framework Description:**
* **Type:** Grid for a line chart.
* **Main Elements:**
* **Coordinate Axes:**
* X-axis: Labeled "年龄" (Age), shows values from 7 to 15.
* Y-axis: Labeled "身高/cm" (Height/cm), shows values from 0, 120, 125, 130, 135, 140, 145, 150, 155, 160, 165, 170.
* **Legend Placeholder:** A box with labels "男生" (Boy) and "女生" (Girl), indicating space for a legend to distinguish between the two data series lines.
**Questions:**
(1) 比较男生和女生的身高变化, 你能得出什么结论? (Compare the height changes of boys and girls, what conclusion can you draw?)
(2) 把你的身高与对应的平均值作比较, 你有什么想法? (Compare your height with the corresponding average value, what are your thoughts?)
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**Page Number:** 110
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**5** 小组讨论: 下面两组数据分别用条形统计图还是折线统计图表示更合适?
(1) 某学校五年级学生“五一”度假方式统计如下。
| 度假方式 | 探亲访友 | 在家休息 | 旅游 | 其他 |
|---|---|---|---|---|
| 男生人数 | 150 | 157 | 163 | 167 |
| 女生人数 | 152 | 156 | 157 | 158 |
(2) 2014—2021年全国生活用水量统计如下。(单位: 亿立方米)
| 年份 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 |
|---|---|---|---|---|---|---|---|---|
| 用水量 | 767 | 794 | 822 | 838 | 860 | 872 | 863 | 909 |
**6** 在报纸、杂志或者图书上找出一些折线统计图(包括复式的),贴在下面。
[An empty box is present below this text, intended for sticking charts.]
(1) 说一说统计图表达的意思。
(2) 可以用其他形式的统计图呈现这些数据吗?为什么?
**7** 小组合作调查一项你们感兴趣的事例,用统计表、统计图将统计的结果呈现出来,并说一说能从数据中发现什么。
本单元结束了, 你想说什么?
成长小档案
我的收获: __________
__________
__________
我的疑问: __________
__________
__________
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