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Multiple Graphs

Band 7+: The charts below show the total number of applicants the year before and the year after Doolittle University's social media advertising campaign, organized by age range and how close the applicants live to the university. Summarize the information by selecting and reporting the main features, and make comparisons where relevant. You should write at least 150 words.

Image for topic: The charts below show the total number of applicants the year before and the year after Doolittle University's social media advertising campaign, organized by age range and how close the applicants live to the university. Summarize the information by selecting and reporting the main features, and make comparisons where relevant. You should write at least 150 words.
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The image contains two bar charts. Chart 1: Applicants within 100km, 19-22: 375 before, 300 after; 23-29: 225 before, 225 after; 30-39: 75 before, 150 after; 40+: 0 before, 75 after. Chart 2: Applicants further than 100km, 19-22: 150 before, 300 after; 23-29: 50 before, 50 after; 30-39: 25 before, 50 after; 40+: 0 before, 25 after.
Given the complexity of the image, the above description may not be entirely accurate.
Note: Both the topic and the answer were created by one of our users.

The given two graphs compare the impact of social media advertisements on distinct ages of applicants from Doolittle University. They show the applicants’ proximity to the university, either within 100 km or beyond that distance.

Overall, they show upward interest among different age groups after the campaign, with a significant rise having been observed in the 18-22 age group. However, the most notable impact was found in the same age group, who were living further than 100 km after the social media campaign.

First, the most significant age group shows a slight increase in interest around 380 before the campaign and near to 400 afterward. The 23-29 age group also experienced a modest rise in applicants before and after the campaign. However, the most impacted 30-39 age group shows 100% increased interest after the campaign, and, on the other hand, the 40+ age group shows a dramatic increase after the advertisement. This trend included students who live within the 100 km range.

The second graph depicts the strength of applicants residing beyond 100 km. It conspicuously shows that the 18-22 age group was still influenced, almost doubling in strength. While the 30-39 and 23-29 age groups show a slight declining trend after the advertisement, the 40+ age group demonstrates double the interest.

Thus, the social media campaign effectively boosted the number of resident students.

Word Count: 224

Answers On The Same Topic:

The charts below show the total number of applicants the year before and the year after Doolittle University’s social media advertising campaign, organized by age range and how close the applicants live to the university. Summarize the information by selecting and reporting the main features, and make comparisons where relevant. You should write at least 150 words.

The given two graphs compare the impact of social media advertisements on distinct ages of applicants from Doolittle University. It shows the applicant’s proximity to the university, either within 100 km or beyond that distance. Overall, it shows upward interest among different age groups after the campaign, with a significant rise having been observed in […]

The charts below show the total number of applicants the year before and the year after Doolittle University’s social media advertising campaign, organized by age range and how close the applicants live to the university. Summarize the information by selecting and reporting the main features, and make comparisons where relevant. You should write at least 150 words.

The bar graphs illustrate the overall number of candidates the year prior and the subsequent year to a social networking marketing campaign. The information is categorized by how many applicants the University of Doolittle received, their age, and proximity to campus. Overall, a growth in the rate of admission can be witnessed after the social […]

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