# Interest over time: python data analysis

ID · 2004 to present · Web search

Values are relative search interest from 0 to 100, where 100 is the peak.

## Timeline (274 points, month resolution)

| Time | python data analysis |
| --- | --- |
| Jan 2004 | 0 |
| Feb 2004 | 0 |
| Mar 2004 | 0 |
| Apr 2004 | 0 |
| May 2004 | 0 |
| Jun 2004 | 0 |
| Jul 2004 | 0 |
| Aug 2004 | 0 |
| Sep 2004 | 0 |
| Oct 2004 | 0 |
| Nov 2004 | 0 |
| Dec 2004 | 0 |
| Jan 2005 | 0 |
| Feb 2005 | 0 |
| Mar 2005 | 0 |
| Apr 2005 | 0 |
| May 2005 | 0 |
| Jun 2005 | 0 |
| Jul 2005 | 0 |
| Aug 2005 | 0 |
| Sep 2005 | 0 |
| Oct 2005 | 0 |
| Nov 2005 | 0 |
| Dec 2005 | 0 |
| Jan 2006 | 0 |
| Feb 2006 | 0 |
| Mar 2006 | 0 |
| Apr 2006 | 0 |
| May 2006 | 0 |
| Jun 2006 | 0 |
| Jul 2006 | 0 |
| Aug 2006 | 0 |
| Sep 2006 | 0 |
| Oct 2006 | 0 |
| Nov 2006 | 0 |
| Dec 2006 | 0 |
| Jan 2007 | 0 |
| Feb 2007 | 0 |
| Mar 2007 | 0 |
| Apr 2007 | 0 |
| May 2007 | 0 |
| Jun 2007 | 0 |
| Jul 2007 | 0 |
| Aug 2007 | 0 |
| Sep 2007 | 0 |
| Oct 2007 | 0 |
| Nov 2007 | 0 |
| Dec 2007 | 0 |
| Jan 2008 | 0 |
| Feb 2008 | 0 |
| Mar 2008 | 0 |
| Apr 2008 | 0 |
| May 2008 | 0 |
| Jun 2008 | 0 |
| Jul 2008 | 0 |
| Aug 2008 | 0 |
| Sep 2008 | 0 |
| Oct 2008 | 0 |
| Nov 2008 | 0 |
| Dec 2008 | 0 |
| Jan 2009 | 0 |
| Feb 2009 | 0 |
| Mar 2009 | 0 |
| Apr 2009 | 0 |
| May 2009 | 0 |
| Jun 2009 | 0 |
| Jul 2009 | 0 |
| Aug 2009 | 0 |
| Sep 2009 | 0 |
| Oct 2009 | 0 |
| Nov 2009 | 0 |
| Dec 2009 | 0 |
| Jan 2010 | 0 |
| Feb 2010 | 0 |
| Mar 2010 | 0 |
| Apr 2010 | 0 |
| May 2010 | 0 |
| Jun 2010 | 0 |
| Jul 2010 | 0 |
| Aug 2010 | 0 |
| Sep 2010 | 0 |
| Oct 2010 | 0 |
| Nov 2010 | 0 |
| Dec 2010 | 0 |
| Jan 2011 | 0 |
| Feb 2011 | 0 |
| Mar 2011 | 0 |
| Apr 2011 | 0 |
| May 2011 | 0 |
| Jun 2011 | 0 |
| Jul 2011 | 0 |
| Aug 2011 | 0 |
| Sep 2011 | 0 |
| Oct 2011 | 0 |
| Nov 2011 | 0 |
| Dec 2011 | 0 |
| Jan 2012 | 0 |
| Feb 2012 | 0 |
| Mar 2012 | 0 |
| Apr 2012 | 0 |
| May 2012 | 0 |
| Jun 2012 | 0 |
| Jul 2012 | 0 |
| Aug 2012 | 0 |
| Sep 2012 | 9 |
| Oct 2012 | 0 |
| Nov 2012 | 0 |
| Dec 2012 | 0 |
| Jan 2013 | 0 |
| Feb 2013 | 0 |
| Mar 2013 | 0 |
| Apr 2013 | 0 |
| May 2013 | 0 |
| Jun 2013 | 0 |
| Jul 2013 | 0 |
| Aug 2013 | 0 |
| Sep 2013 | 0 |
| Oct 2013 | 0 |
| Nov 2013 | 0 |
| Dec 2013 | 0 |
| Jan 2014 | 0 |
| Feb 2014 | 0 |
| Mar 2014 | 0 |
| Apr 2014 | 0 |
| May 2014 | 0 |
| Jun 2014 | 0 |
| Jul 2014 | 0 |
| Aug 2014 | 0 |
| Sep 2014 | 0 |
| Oct 2014 | 0 |
| Nov 2014 | 0 |
| Dec 2014 | 0 |
| Jan 2015 | 0 |
| Feb 2015 | 0 |
| Mar 2015 | 0 |
| Apr 2015 | 0 |
| May 2015 | 0 |
| Jun 2015 | 0 |
| Jul 2015 | 0 |
| Aug 2015 | 0 |
| Sep 2015 | 0 |
| Oct 2015 | 0 |
| Nov 2015 | 0 |
| Dec 2015 | 0 |
| Jan 2016 | 0 |
| Feb 2016 | 0 |
| Mar 2016 | 0 |
| Apr 2016 | 0 |
| May 2016 | 0 |
| Jun 2016 | 0 |
| Jul 2016 | 0 |
| Aug 2016 | 0 |
| Sep 2016 | 0 |
| Oct 2016 | 0 |
| Nov 2016 | 0 |
| Dec 2016 | 0 |
| Jan 2017 | 0 |
| Feb 2017 | 0 |
| Mar 2017 | 0 |
| Apr 2017 | 0 |
| May 2017 | 0 |
| Jun 2017 | 0 |
| Jul 2017 | 0 |
| Aug 2017 | 0 |
| Sep 2017 | 0 |
| Oct 2017 | 0 |
| Nov 2017 | 0 |
| Dec 2017 | 0 |
| Jan 2018 | 0 |
| Feb 2018 | 0 |
| Mar 2018 | 0 |
| Apr 2018 | 0 |
| May 2018 | 0 |
| Jun 2018 | 0 |
| Jul 2018 | 0 |
| Aug 2018 | 0 |
| Sep 2018 | 0 |
| Oct 2018 | 0 |
| Nov 2018 | 0 |
| Dec 2018 | 0 |
| Jan 2019 | 0 |
| Feb 2019 | 0 |
| Mar 2019 | 0 |
| Apr 2019 | 0 |
| May 2019 | 0 |
| Jun 2019 | 0 |
| Jul 2019 | 3 |
| Aug 2019 | 0 |
| Sep 2019 | 0 |
| Oct 2019 | 0 |
| Nov 2019 | 0 |
| Dec 2019 | 0 |
| Jan 2020 | 0 |
| Feb 2020 | 2 |
| Mar 2020 | 0 |
| Apr 2020 | 0 |
| May 2020 | 0 |
| Jun 2020 | 0 |
| Jul 2020 | 0 |
| Aug 2020 | 2 |
| Sep 2020 | 0 |
| Oct 2020 | 0 |
| Nov 2020 | 2 |
| Dec 2020 | 2 |
| Jan 2021 | 0 |
| Feb 2021 | 0 |
| Mar 2021 | 2 |
| Apr 2021 | 2 |
| May 2021 | 0 |
| Jun 2021 | 2 |
| Jul 2021 | 2 |
| Aug 2021 | 2 |
| Sep 2021 | 0 |
| Oct 2021 | 0 |
| Nov 2021 | 2 |
| Dec 2021 | 0 |
| Jan 2022 | 2 |
| Feb 2022 | 4 |
| Mar 2022 | 4 |
| Apr 2022 | 4 |
| May 2022 | 2 |
| Jun 2022 | 4 |
| Jul 2022 | 4 |
| Aug 2022 | 3 |
| Sep 2022 | 4 |
| Oct 2022 | 4 |
| Nov 2022 | 4 |
| Dec 2022 | 4 |
| Jan 2023 | 3 |
| Feb 2023 | 2 |
| Mar 2023 | 3 |
| Apr 2023 | 2 |
| May 2023 | 3 |
| Jun 2023 | 3 |
| Jul 2023 | 2 |
| Aug 2023 | 3 |
| Sep 2023 | 2 |
| Oct 2023 | 4 |
| Nov 2023 | 3 |
| Dec 2023 | 4 |
| Jan 2024 | 3 |
| Feb 2024 | 3 |
| Mar 2024 | 3 |
| Apr 2024 | 4 |
| May 2024 | 3 |
| Jun 2024 | 4 |
| Jul 2024 | 3 |
| Aug 2024 | 3 |
| Sep 2024 | 0 |
| Oct 2024 | 3 |
| Nov 2024 | 4 |
| Dec 2024 | 3 |
| Jan 2025 | 3 |
| Feb 2025 | 2 |
| Mar 2025 | 2 |
| Apr 2025 | 4 |
| May 2025 | 3 |
| Jun 2025 | 4 |
| Jul 2025 | 3 |
| Aug 2025 | 3 |
| Sep 2025 | 3 |
| Oct 2025 | 4 |
| Nov 2025 | 9 |
| Dec 2025 | 11 |
| Jan 2026 | 10 |
| Feb 2026 | 75 |
| Mar 2026 | 53 |
| Apr 2026 | 51 |
| May 2026 | 21 |
| Jun 2026 | 27 |
| Jul 2026 | 42 |
| Aug 2026 | 100 |
| Sep 2026 | 79 |
| Oct 2026 (partial) | 6 |

## Interest by region

| Place | python data analysis |
| --- | --- |
| [Riau Islands](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-KR&date=all) | 100 |
| [Banten](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-BT&date=all) | 87 |
| [Special Region of Yogyakarta](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-YO&date=all) | 87 |
| [Bali](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-BA&date=all) | 75 |
| [Bangka Belitung Islands](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-BB&date=all) | 75 |
| [West Java](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-JB&date=all) | 75 |
| [West Nusa Tenggara](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-NB&date=all) | 75 |
| [Aceh](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-AC&date=all) | 62 |
| [Central Java](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-JT&date=all) | 62 |
| [Central Kalimantan](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-KT&date=all) | 62 |
| [East Java](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-JI&date=all) | 62 |
| [North Sulawesi](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-SA&date=all) | 62 |
| [Riau](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-RI&date=all) | 62 |
| [South Kalimantan](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-KS&date=all) | 62 |
| [South Sumatra](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-SS&date=all) | 62 |
| [Special Capital Region of Jakarta](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-JK&date=all) | 62 |
| [Bengkulu](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-BE&date=all) | 50 |
| [East Kalimantan](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-KI&date=all) | 50 |
| [Jambi](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-JA&date=all) | 50 |
| [Lampung](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-LA&date=all) | 50 |
| [West Kalimantan](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-KB&date=all) | 50 |
| [West Sumatra](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-SB&date=all) | 50 |
| [East Nusa Tenggara](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-NT&date=all) | 37 |
| [North Sumatra](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-SU&date=all) | 37 |
| [Papua](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-PA&date=all) | 37 |
| [South Sulawesi](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-SN&date=all) | 37 |
| [Central Sulawesi](https://trends.firecrawl.dev/explore.md?q=python+data+analysis&geo=ID-ST&date=all) | 25 |

## Related searches for "python data analysis"

### Top

1. [python for data analysis](https://trends.firecrawl.dev/explore.md?q=python+for+data+analysis&geo=ID&date=all): 100
2. [data analysis in python](https://trends.firecrawl.dev/explore.md?q=data+analysis+in+python&geo=ID&date=all): 82
3. [data analysis with python](https://trends.firecrawl.dev/explore.md?q=data+analysis+with+python&geo=ID&date=all): 51
4. [python data analysis pdf](https://trends.firecrawl.dev/explore.md?q=python+data+analysis+pdf&geo=ID&date=all): 39
5. [python for data analysis pdf](https://trends.firecrawl.dev/explore.md?q=python+for+data+analysis+pdf&geo=ID&date=all): 24
6. [data science](https://trends.firecrawl.dev/explore.md?q=data+science&geo=ID&date=all): 20
7. [exploratory data analysis](https://trends.firecrawl.dev/explore.md?q=exploratory+data+analysis&geo=ID&date=all): 17
8. [data analysis using python](https://trends.firecrawl.dev/explore.md?q=data+analysis+using+python&geo=ID&date=all): 16
9. [sql](https://trends.firecrawl.dev/explore.md?q=sql&geo=ID&date=all): 10
10. [data analyst](https://trends.firecrawl.dev/explore.md?q=data+analyst&geo=ID&date=all): 10
11. [wikipedia](https://trends.firecrawl.dev/explore.md?q=wikipedia&geo=ID&date=all): 6
12. [python data analysis projects](https://trends.firecrawl.dev/explore.md?q=python+data+analysis+projects&geo=ID&date=all): 6
13. [kaggle](https://trends.firecrawl.dev/explore.md?q=kaggle&geo=ID&date=all): 4

### Rising

1. [python for data analysis](https://trends.firecrawl.dev/explore.md?q=python+for+data+analysis&geo=ID&date=all): Breakout
2. [data analysis in python](https://trends.firecrawl.dev/explore.md?q=data+analysis+in+python&geo=ID&date=all): Breakout
3. [data analysis with python](https://trends.firecrawl.dev/explore.md?q=data+analysis+with+python&geo=ID&date=all): Breakout
4. [python data analysis pdf](https://trends.firecrawl.dev/explore.md?q=python+data+analysis+pdf&geo=ID&date=all): Breakout
5. [python for data analysis pdf](https://trends.firecrawl.dev/explore.md?q=python+for+data+analysis+pdf&geo=ID&date=all): Breakout
6. [data science](https://trends.firecrawl.dev/explore.md?q=data+science&geo=ID&date=all): Breakout
7. [exploratory data analysis](https://trends.firecrawl.dev/explore.md?q=exploratory+data+analysis&geo=ID&date=all): Breakout
8. [data analysis using python](https://trends.firecrawl.dev/explore.md?q=data+analysis+using+python&geo=ID&date=all): Breakout
9. [sql](https://trends.firecrawl.dev/explore.md?q=sql&geo=ID&date=all): Breakout
10. [data analyst](https://trends.firecrawl.dev/explore.md?q=data+analyst&geo=ID&date=all): Breakout
11. [wikipedia](https://trends.firecrawl.dev/explore.md?q=wikipedia&geo=ID&date=all): Breakout
12. [python data analysis projects](https://trends.firecrawl.dev/explore.md?q=python+data+analysis+projects&geo=ID&date=all): Breakout
13. [kaggle](https://trends.firecrawl.dev/explore.md?q=kaggle&geo=ID&date=all): Breakout

Compare: "python data analysis". Observed 2026-10-16T20:36:52.437Z.