1) Global Smartphone Sales
Scenario: A market research firm tracks global smartphone sales by brand (Apple, Samsung, Xiaomi, Oppo, Vivo) over six years.
Data Example (in Million Units):
Year |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
Apple |
200 |
210 |
220 |
230 |
240 |
250 |
Samsung |
300 |
310 |
320 |
330 |
340 |
350 |
Xiaomi |
150 |
170 |
180 |
190 |
200 |
220 |
Oppo |
100 |
120 |
130 |
140 |
150 |
160 |
Vivo |
90 |
100 |
110 |
120 |
130 |
140 |
Purpose: A stacked area chart helps visualize smartphone sales trends and brand dominance over the years.
To analyze smartphone sales trends, download the
file and upload it through the above CSV option to visualize the data using a stacked area chart.
2) Monthly Electricity Consumption
Scenario: A city tracks electricity consumption by sector (residential, commercial, industrial, public services, agriculture) over six months.
Data Example (in GWh):
Month |
January |
February |
March |
April |
May |
June |
Residential |
400 |
420 |
450 |
470 |
500 |
520 |
Commercial |
600 |
620 |
650 |
670 |
700 |
720 |
Industrial |
800 |
820 |
850 |
870 |
900 |
920 |
Public Services |
200 |
210 |
230 |
250 |
270 |
300 |
Agriculture |
150 |
160 |
180 |
190 |
200 |
220 |
Purpose: A stacked area chart helps visualize electricity consumption patterns across different sectors over time.
Download the
file and upload it through the above CSV option to visualize the data using a stacked area chart.
3) Daily Web Traffic for a News Website
Scenario: A news website tracks daily visits categorized by device type (Desktop, Mobile, Tablet, Smart TV, Wearable) over a week.
Data Example (in Thousands of Visits):
Day |
Monday |
Tuesday |
Wednesday |
Thursday |
Friday |
Saturday |
Sunday |
Desktop |
150 |
160 |
170 |
180 |
190 |
200 |
210 |
Mobile |
300 |
320 |
340 |
360 |
380 |
400 |
420 |
Tablet |
50 |
55 |
60 |
65 |
70 |
75 |
80 |
Smart TV |
30 |
35 |
40 |
45 |
50 |
55 |
60 |
Wearable |
10 |
15 |
20 |
25 |
30 |
35 |
40 |
Purpose: A stacked area chart helps visualize website traffic trends across different device types over a week.
Download the
file and upload it through the above CSV option to visualize the data using a stacked area chart.