michael owor

Knowledge, Discovery and Tea.

[michael owor @Vilg_Researcher]

The water services ladder is a benchmarking tool used to compare water services across countries. This dashboard tracks progress countries are making towards universal access to safely managed water services in line with #SDG6 @UNICEFwater https://t.co/1OEJxDHhRT

[michael owor @Vilg_Researcher]

@Stats_Kenya Then kudos to Mandera and Turkana. It would be interesting to see whether this is actually reflected on the ground.

[Viz for Social Good @VizFSG]

We have been recognized as the Most Socially-Conscious Data Visualization Enterprise 2024 by @Corp_Vision's Global Business Awards! 🥳

Learn more ➡️: https://t.co/jdebjMCKkb.

#VizForSocialGood #VFSG #DataViz #DataVisualization #SocialImpact #CommunityImpact #DataForGood

[Viz for Social Good @VizFSG]

The latest #VizForSocialGood project brought together so many talented #Volunteers to create #Data stories and tools demonstrating @NoiseSolutionuk's impact. 💪 Look back at this incredible collaboration with us in our new blog post: https://t.co/AxFGMRUm3t!

#DataViz #VFSG

[michael owor @Vilg_Researcher]

@Stats_Kenya Have measures been taken on a representative sample, or was there a reason for focusing only on children? While I may not have enough information to dispute your data, it's crucial to consider who, how, and when the data was collected for accurate interpretation

[michael owor @Vilg_Researcher]

@Stats_Kenya Thank you.. I see most of these tests were carried out on children is that a representative sample?. Secondly just from a quick glance of the papers , the research shared set out to measure different things...

[michael owor @Vilg_Researcher]

https://t.co/IW5ktDfBlJ

[michael owor @Vilg_Researcher]

Delighted to make my submission for the latest
@VizFSG
@NoiseSolutionuk
project . See the visualization here https://t.co/y5W2qshiqY #datafam #VizForSocialGood

[michael owor @Vilg_Researcher]

@Stats_Kenya Deadbeat parenting and poverty could be main contributors

[michael owor @Vilg_Researcher]

"There is nothing more deceptive than an obvious fact." Sherlock Holmes

[Afrobarometer @afrobarometer]

Africans want more democratic governance than they’re getting.

See Afrobarometer’s latest analysis in @goodauth: https://t.co/OVH9eGJBBW.

#VoicesAfrica #Democracy #AfrobarometerAt25

[Eyo Eyo, PhD @Eyowhite3]

Most Data Analysts do not know this:

[Afrobarometer @afrobarometer]

Yesterday, our national partner in Kenya, the Institute for Development Studies – University of Nairobi (@IDS_UONBI) shared the latest findings on Kenyans’ perspectives on economy and taxation in Kenya.

Head over to our website to read more: https://t.co/MlhR8SOsai

#Kenya #VoicesAfrica #AfrobarometerAt25

[Mihr Thakar @MihrThakar]

How will a laptop help you? Seventh laptop giveaway!

Most convincing DM (for privacy) or reply/quote to this post will get a BRAND NEW laptop & bag. Note:

✅ Must have ID (don't share it unless you are required to for collection purposes)
✅ Must be in NBO or MSA
✅ Must have secure dwelling/office to store it
✅ Its for use, not selling for quick cash

Giveaway is sponsored by an ANONYMOUS donor. Selection will be based on conviction.

Ends today 7pm.

Any comments or DMs after 7pm will be ignored for the purposes of this giveaway.

Person selected will be DMd by me tonight or tomorrow.

Your DMs must be open, else you will be skipped.

You will also be skipped if you don't reply within a purely subjective amount of time.

DO NOT post personal info here.

Laptop will be self-collected after about a week.

[Matt Dancho (Business Science) @mdancho84]

6 statistical methods that can be used for A/B Testing (and when to use them). 🧵

[Kenya Data & Stats @Stats_Kenya]

We Transform Your Data Collection: Unlocking the Power of Real-Time Survey Insights.

We understand that data collection can be time-consuming, prone to data entry errors, expensive, and hard to coordinate.

With us, surveys are made easy with three quick steps:

1. Our tools allow you to design and create surveys using various question options, from drop-down lists to date input to short text.

2. Send the survey to your specified sample, monitor it, and collect responses in real-time.

3. Analyze responses with automatic summaries, instantly collected and organized in charts and graphs.

We have over 17,800 self-registered respondents spread across the country and in all 47 counties. You can use an existing respondent pool for a random or targeted survey or a custom pool uploaded from your list.

Why Us?

1. Our platform allows for a more comprehensive selection of verifiable respondents at a low and convenient cost.

2. You will save time spent collecting and analyzing data. Our tools allow real-time data collection and analysis.

3. Data entry errors and fraud are reduced as all responses come from respondents who can be reached for clarification.

4. Reduced logistical and data collection costs.

5. Secure and convenient cloud storage for all your data and surveys.

Get started with your survey at [email protected]
[https://t.co/ARUWdg3JWT]

If you also wish to participate in our surveys and receive a small stipend🤑, please register here: https://t.co/rQtWtwzz6k

[michael owor @Vilg_Researcher]

In the 2022/23 audit report, 6 out 47 counties received an adverse opinion signifying significant and pervasive issues in the financial statements, indicating serious mismanagement. https://t.co/NGsP3jfdLr @OAG_Kenya @Stats_Kenya

[Kenya Data & Stats @Stats_Kenya]

A measure of inequality in 2021 showed that inequalities in consumption expenditures were highest in Nairobi, with a Gini Index of 40.9%.

1. Nairobi 40.9
2. Turkana 39.9
3. Nandi 36.8
4. Kitui 35.7
5. Machakos 35.3
6. Meru 35.1
7. Nakuru 34.7
8. Embu 34.7
9. Kiambu 33.4
10. Mandera 33.1
11. Taita Taveta 32.9
12. Wajir 32.8
13. Marsabit 32.8
14. Bungoma 32.6
15. Samburu 32.4
16. Murang'a 31.9
17. Nyeri 31.1
18. Kilifi 31.1
19. Kakamega 30.9
20. Uasin Gishu 30.5
21. Kwale 30.4
22. Kericho 30.3
23. Kisumu 29.8
24. Laikipia 29.7
25. Kajiado 29.7
26. Mombasa 29.2
27. Isiolo 29.1
28. Garissa 28.5
29. Kirinyaga 27.4
30. Trans Nzoia 27.3
31. Nyamira 27.2
32. Homa Bay 27.1
33. Kisii 26.7
34. Migori 26.6
35. Elgeyo Marakwet 26.5
36. Tharaka Nithi 26.2
37. Narok 26.1
38. Baringo 25.8
39. Siaya 25.1
40. Lamu 25
41. West Pokot 24.3
42. Tana River 24
43. Nyandarua 23.8
44. Busia 23.7
45. Bomet 23
46. Makueni 22.6
47. Vihiga 21.1

*The Gini index ranges from 0 to 1 or from 0% to 100%, with 0 being perfect equality and 1 perfect inequality.